IDREF11798 false 2026-09-16T15:43:14.7202755+02:00 NonProductionDataflow true Air Emissions Accounts Air Emissions Accounts NonProductionDataflow true SDG Country Global Dataflow Reporting and dissemination dataflow for non-harmonized global SDG indicators reported by countries. NonProductionDataflow true SDG Harmonized Global Dataflow Reporting and dissemination dataflow for harmonized global SDG indicators. NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+NLD+NL001F+NL002F+NL003F+NL004F,UNIT_MEASURE=D_Y,MEASURE=HOT_DAYS_PROJ,TIME_PERIOD_START=2050,PROJ_SCENARIO=PROJ_SSP245+PROJ_SSP370 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Climate projections by scenario, 2030–2060 – Cities and FUAs Projections climatiques pour la période 2030-2060 - Villes et FUAs <p style="text-align: justify;">This dataset provides sub-national indicators on 2030-2060 projections by scenario on air temperature, hot days, icing days, tropical nights, total precipitation and extreme precipitation days in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6">Projections are based on NASA NEX-GDDP CMIP6 data, which provides average air temperature projections at a 0.25&deg; spatial resolution for different scenarios - Shared Socioeconomic Pathways (SSPs).</div> <div> <ul class="list-disc px-10"> <li><strong> Hot days refer to days during which the maximum temperature is higher than 35&deg;C) </li> <li><strong> Tropical nights refer to nights during which the minimum temperature is higher than 20°C. </li> <li><strong> Icing days are defined as days during which the maximum temperature is lower than 0°C. </li> <li><strong>Extreme precipitation days are defined as days during which the total precipitation is higher than 20 mm. </li> </ul> </div> <div class="text-gray-500 px-6">&nbsp;</div> <div class="text-gray-500 px-6">SSPs are climate scenarios up to 2100 that model how socio‑economic factors may change over the next century. These scenarios are combined with Representative Concentration Pathways (RCPs), which outline different greenhouse gas (GHG) concentration levels and their radiative forcings. Radiative forcing quantifies how factors like GHGs, aerosols and solar changes affect Earth&rsquo;s atmospheric energy balance. This dataset covers highlights four scenarios:</div> <div class="text-gray-500 px-10"> <ul class="list-disc px-10"> <li><strong>SSP1-2.6</strong>: Sustainability. 2.6 watts per square metre (W/m2) radiative forcing, 1.8&deg;C warming by 2100.</li> <li><strong>SSP2-4.5</strong>: Middle-of-the-road. 4.5 W/m2 radiative forcing, 2.7&deg;C warming by 2100.</li> <li><strong>SSP3-7.0</strong>: Regional rivalry. 7.0 W/m2 radiative forcing, 3.6&deg;C warming by 2100.</li> <li><strong>SSP5-8.5</strong>: Fossil fuel development. 8.5 W/m2 radiative forcing, 4.4&deg;C warming by 2100.</li> </ul> </div> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p style="text-align: justify;">This dataset provides sub-national indicators on 2030-2060 projections by scenario on air temperature, hot days, icing days, tropical nights, total precipitation and extreme precipitation days in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6">Projections are based on NASA NEX-GDDP CMIP6 data, which provides average air temperature projections at a 0.25&deg; spatial resolution for different scenarios - Shared Socioeconomic Pathways (SSPs).</div> <div> <ul class="list-disc px-10"> <li><strong> Hot days refer to days during which the maximum temperature is higher than 35&deg;C) </li> <li><strong> Tropical nights refer to nights during which the minimum temperature is higher than 20°C. </li> <li><strong> Icing days are defined as days during which the maximum temperature is lower than 0°C. </li> <li><strong>Extreme precipitation days are defined as days during which the total precipitation is higher than 20 mm. </li> </ul> </div> <div class="text-gray-500 px-6">&nbsp;</div> <div class="text-gray-500 px-6">SSPs are climate scenarios up to 2100 that model how socio‑economic factors may change over the next century. These scenarios are combined with Representative Concentration Pathways (RCPs), which outline different greenhouse gas (GHG) concentration levels and their radiative forcings. Radiative forcing quantifies how factors like GHGs, aerosols and solar changes affect Earth&rsquo;s atmospheric energy balance. This dataset covers highlights four scenarios:</div> <div class="text-gray-500 px-10"> <ul class="list-disc px-10"> <li><strong>SSP1-2.6</strong>: Sustainability. 2.6 watts per square metre (W/m2) radiative forcing, 1.8&deg;C warming by 2100.</li> <li><strong>SSP2-4.5</strong>: Middle-of-the-road. 4.5 W/m2 radiative forcing, 2.7&deg;C warming by 2100.</li> <li><strong>SSP3-7.0</strong>: Regional rivalry. 7.0 W/m2 radiative forcing, 3.6&deg;C warming by 2100.</li> <li><strong>SSP5-8.5</strong>: Fossil fuel development. 8.5 W/m2 radiative forcing, 4.4&deg;C warming by 2100.</li> </ul> </div> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=NLD+NL001F+NL002F+NL003F+NL005F+NL006F+NL007F+NL008F+NL009F+NL010F+NL011F+NL012F+NL013F+NL014F+NL015F+NL016F+NL017F+NL018F+NL022F+NL025F+NL028F+NL029F+NL030F+NL031F+NL032F+NL033F+NL035F+NL037F+NL038F+NL039F+NL040F+NL041F+NL042F+NL043F+NL044F+NL047F,RET_PERIOD=Y_100,MEASURE=CF_POP_EXP,TIME_PERIOD_START=2000 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Coastal flooding - Cities and FUAs Inondations côtières - Villes et FUA <p align="justify">This dataset provides indicators of population and built-up exposure to coastal floods.</p> <h3>Data sources and methodology</h3> <p align="justify">Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al., 2016)</a>. This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. A return period corresponds to the estimated time interval between floods of similar intensity. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Harmonised international hazard models are used to ensure global comparability, consistent modelling assumptions across countries, and complete subnational coverage. These estimates may differ from official subnational flood risk statistics due to differences in methodological approaches - such as the use of global, modelled top down hazard maps versus national hydrological models or administrative flood zone delineations - as well as variations in input data sources, spatial resolution, and hydraulic modelling techniques.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1da">Coastal flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of population and built-up exposure to coastal floods.</p> <h3>Data sources and methodology</h3> <p align="justify">Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al., 2016)</a>. This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. A return period corresponds to the estimated time interval between floods of similar intensity. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1da">Coastal flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,UNIT_MEASURE=PC,MEASURE=LAND_MOIST_ANOM,TIME_PERIOD_START=2019 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Drought - Cities and FUAs Sécheresse - Villes et FUAs <p align="justify">This dataset provides regional statistics on estimate of soil moisture anomaly, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Drought is defined by the soil moisture change compared to the reference period 1981-2010. The soil moisture refers to the volume of water in the first soil layer (0 to 7 cm). This indicator is based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vc>Drought - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides regional statistics on estimate of soil moisture anomaly, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p>Drought intensity is here estimated in terms of soil moisture anomaly compared to the reference period 1981-2010. Soil moisture refers to the volume of water in the top soil layer (0 to 7 cm). This dataset provides annual soil moisture estimates in percentage points, along with changes in soil moisture. The data is based on <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land reanalysis</a> dataset.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vc>Drought - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=FIRE_LAND_EXP DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Wildfires - Cities and FUAs Feux de forêt - Villes et FUA <p align="justify">This dataset provides indicators of population and land exposure to wildfires.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use the JRC's Global wildfire dataset of fire regimes and fire behaviours <a href=https://doi.org/10.1038/s41597-019-0312-2>(Artés, T. et al., 2019)</a>, providing monthly individual fire perimeters for 2000-2023. Burnt areas are aggregated by year to obtain the total burnt land for each year. Built-up area exposure to wildfire is computed by intersecting the total burnt area with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a>. For population exposure, a 5-km buffer was added to the wildfire perimeters before intersecting with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d7">Wildfires - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of population and land exposure to wildfires.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use the JRC's Global wildfire dataset of fire regimes and fire behaviours <a href=https://doi.org/10.1038/s41597-019-0312-2>(Artés, T. et al., 2019)</a>, providing monthly individual fire perimeters for 2000-2023. Burnt areas are aggregated by year to obtain the total burnt land for each year. Built-up area exposure to wildfire is computed by intersecting the total burnt area with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a>. For population exposure, a 5-km buffer was added to the wildfire perimeters before intersecting with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d7">Wildfires - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,HEAT_STRESS=GE32 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Heat stress - Cities and FUAs Stress thermique - Villes et FUA <p align="justify">This dataset provides an indicator of population exposure to heat stress.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32°C to 38°C are considered as strong heat stress, from 38°C to 46°C as very strong heat stress, and above 46°C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store <a href=https://doi.org/10.24381/cds.553b7518>(Di Napoli C. et al.)</a>. For each 0.25° by 0.25° grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32°C, 38°C and 46°C) is computed. FUA and city level indicators correspond to the population-weighted average number of days above each heat stress threshold, obtained by intersecting the computed grid with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d8">Heat stress - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of population exposure to heat stress.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32°C to 38°C are considered as strong heat stress, from 38°C to 46°C as very strong heat stress, and above 46°C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store <a href=https://doi.org/10.24381/cds.553b7518>(Di Napoli C. et al.)</a>. For each 0.25° by 0.25° grid cell, the number of days for which the maximum UTCI value is above each heat stress threshold (32°C, 38°C and 46°C) is computed. FUA and city level indicators correspond to the population-weighted average number of days above each heat stress threshold, obtained by intersecting the computed grid with the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d8">Heat stress - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+BE001C+BE002C+BE003C+BE004C+NLD+NL001F+NL002F+NL003F+NL004F+NL001C+NL002C+NL003C+NL004C,UNIT_MEASURE=C,MEASURE=DAY_LAND_TEMP_YEARLY,TIME_PERIOD_START=2019 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Land surface temperature - Cities and FUAs Température à la surface du sol - Villes et FUAs <p style="text-align: justify;">This dataset provides sub-national indicators on land surface temperature in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <p style="text-align: justify;">Land surface temperature refers to the average temperature of the land surface within a local area, excluding water bodies. Data are available for both daytime and nighttime, as well as annually and by season (summer and winter). These temperatures are derived from MODIS Aqua and Terra satellite observations, which offer high-frequency measurements at a spatial resolution of 1 km.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ve>Land surface temperature - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p style="text-align: justify;">This dataset provides sub-national indicators on land surface temperature in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <p style="text-align: justify;">Land surface temperature refers to the average temperature of the land surface within a local area, excluding water bodies. Data are available for both daytime and nighttime, as well as annually and by season (summer and winter). These temperatures are derived from MODIS Aqua and Terra satellite observations, which offer high-frequency measurements at a spatial resolution of 1 km.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ve>Land surface temperature - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Precipitation - Cities and FUAs Précipitations - Villes et FUAs <p align="justify">This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d6">Precipitations - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of total precipitation and extreme precipitation days in Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">The indicators use <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d6">Precipitations - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,RET_PERIOD=Y_100,MEASURE=RF_POP_EXP,TIME_PERIOD_START=2000 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée River flooding - Cities and FUAs Inondations fluviales - Villes et FUA <p align="justify">This dataset provides indicators of population and built-up exposure to river floods.</p> <h3>Data sources and methodology</h3> <p align="justify"> River flooding indicators are estimated using the River Flood Hazard Maps at European and Global Scales datasets <a href=https://doi.org/10.2905/1D128B6C-A4EE-4858-9E34-6210707F3C81>(Dottori, F. et al., 2021)</a>, which provide the extent of river floods for different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. For OECD countries located in Europe and the Mediterranean Basin, the regional 250-metre resolution map was used. For the remaining OECD countries, the global map with a spatial granularity of 1 km was used. Built-up area exposure to river floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Harmonised international hazard models are used to ensure global comparability, consistent modelling assumptions across countries, and complete subnational coverage. </p> <p align="justify">These estimates may differ from official subnational flood risk statistics due to differences in methodological approaches - such as the use of global, modelled top down hazard maps versus national hydrological models or administrative flood zone delineations - as well as variations in input data sources, spatial resolution, and hydraulic modelling techniques. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d9 ">River flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of population and built-up exposure to river floods.</p> <h3>Data sources and methodology</h3> <p align="justify">River flooding indicators use the River Flood Hazard Maps at European and Global Scales datasets <a href=https://doi.org/10.2905/1D128B6C-A4EE-4858-9E34-6210707F3C81>(Dottori, F. et al., 2021)</a>, which provide the extent of river floods for different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. For OECD countries located in Europe and the Mediterranean Basin, the regional 250-metre resolution map was used. For the remaining OECD countries, the global map with a spatial granularity of 1 km was used. Built-up area exposure to river floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d9 ">River flooding - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Air temperature, hot days, tropical nights and icing days - Cities and FUAs Température de l'air, journées chaudes, nuits tropicales et jours de gel - Villes et FUA <p align="justify">This dataset provides indicators of air temperature, hot days, tropical nights and icing days.</p> <h3>Data sources and methodology</h3> <p align="justify">Indicators are estimated using <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Air temperature indicators correspond to the average annual air temperature at a height of 2 meters. Hot days correspond to the number of days when the maximum temperature exceeds 35°C. Tropical nights correspond to the days when the minimum temperature is above 20°C, and icing days to the number of days when the maximum temperature is below 0°C. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d5">Air temperature, hot days, tropical nights and icing days - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of air temperature, hot days, tropical nights and icing days.</p> <h3>Data sources and methodology</h3> <p align="justify">Indicators are estimated using <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Air temperature indicators correspond to the average annual air temperature at a height of 2 meters. Hot days correspond to the number of days when the maximum temperature exceeds 35°C. Tropical nights correspond to the days when the minimum temperature is above 20°C, and icing days to the number of days when the maximum temperature is below 0°C.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1d5">Air temperature, hot days, tropical nights and icing days - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+BE001C+BE002C+BE003C+BE004C+NLD+NL001F+NL002F+NL003F+NL004F+NL001C+NL002C+NL003C+NL004C,TIME_PERIOD_START=2021 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Wind threats - Cities and FUAs Risques liés au vent - Villes et FUAs <p align="justify">This dataset provides statistics on wind threats, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Wind threats are here defined as violent storms or worse (wind gust > 28.6 m/s). Areas are classified as exposed to violent storms or worse if at least once the hourly instantenous wind gust exceeds 28.6 m/s in the year.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database Wind threats - Cities and FUAs, <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides statistics on wind threats, in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Wind threats are here defined as violent storms or worse (wind gust > 28.6 m/s). Areas are classified as exposed to violent storms or worse if at least once the hourly instantenous wind gust exceeds 28.6 m/s in the year.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database Wind threats - Cities and FUAs, <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,AGE=_T,SEX=_T DEFAULT AGE:OECD.CFE.EDS:HCL_AGE(1.0).H HIER_CONTEXT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Population by age and sex - Cities and FUAs Population par sexe et groupe d'âges - Villes et FUA <p align="justify">This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by age and sex data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and four accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dr>Population by age and sex - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides population counts by 5-year age groups and sex for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by age and sex data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dr>Population by age and sex - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,AGE=_T,SEX=_T DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Population by citizenship - Cities and FUAs Population par nationalité - Villes et FUA <p align="justify">This dataset provides population counts by citizenship in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by citizenship data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides population counts by citizenship in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by citizenship data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Dependency ratio - Cities and FUAs Taux de dépendance - Villes et FUA <p align="justify">This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of dependency ratios for OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Dependency ratios are derived from population by age and sex data collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> When population by age and sex data is not available at such granular level, FUA and city level indicators are estimated by adjusting the regional (OECD TL3 regions) values to the FUA and city boundaries, based on the population distribution in each region. Regional values (population by age and sex) in TL3 regions are used as data inputs and combined with gridded total population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA and city boundaries are intersected with TL3 borders and coefficients are computed for each region, based on the share of the regional population that lives within the FUA/city. These coefficients are then applied to the variables of interest (e.g. population by age groups) and allocated to the FUA/city. In case several regions intersect the FUA/city, the adjusted values of intersecting regions are summed. This approach assumes that the variables of interest have the same spatial distribution as the total population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1ds>Dependency ratio - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <p align="justify">For any question or comment, please write to <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,AGE=_T,SEX=_T DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Foreign-born population - Cities and FUAs Population née à l'étranger - Villes et FUA <p align="justify">This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by origin data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. <br /><br /> For more details on data sources for each country, please see <a href=https://doi.org/10.1787/a79b007d-en>Astruc-Le Souder et al. (2024)</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides population counts for native and foreign-born population in OECD Functional Urban Areas (FUAs) and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Population by origin data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. The correspondence table between SAUs and FUAs/cities is available at <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> For more details on data sources for each country, please see <a href=https://doi.org/10.1787/a79b007d-en>Astruc-Le Souder et al. (2024)</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/yy">Foreign-born population - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=DOWN_SPEED DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Internet speed - Cities and FUAs Vitesse de connexion Internet - Villes et FUA <p align="justify">This dataset provides an indicator of internet speed (downloading and uploading speeds) in FUAs and cities compared to the national values.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses quarterly data from Speedtest® by Ookla® Global Fixed and Mobile Network Performance Maps, based on analysis by Ookla of Speedtest Intelligence® data for 2019-2024. The indicator is derived from internet speed tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet). Yearly values are based on the weighted average of quarterly values, using the number of speed tests performed.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1df">Internet speed - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of internet speed (downloading and uploading speeds) in FUAs and cities compared to the national values.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses quarterly data from Speedtest® by Ookla® Global Fixed and Mobile Network Performance Maps, based on analysis by Ookla of Speedtest Intelligence® data for 2019-2024. The indicator is derived from internet speed tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet). Yearly values are based on the weighted average of quarterly values, using the number of speed tests performed.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1df">Internet speed - Cities and FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,MEASURE=LAB_PROD DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Economy - FUAs Économie - FUA <p align="justify">This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.</p> <h3>Data sources and methodology</h3> <p align="justify"> When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. GDP) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (<a href=https://www.bea.gov/data/employment/employment-county-metro-and-other-areas>US Bureau of Economic Analysis</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e5">Economy - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides economic indicators for FUAs of more than 250 000 inhabitants, including GDP, GDP per capita, jobs and labour productivity.</p> <h3>Data sources and methodology</h3> <p align="justify"> When economic statistics are unavailable at a more granular level than the FUA (e.g. municipal level), indicators are estimated by adjusting regional (OECD TL2 and TL3 regions) values to FUA boundaries, based on the population distribution in each region. Regional values (GDP and jobs) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. GDP) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, GDP estimates are available at the county-level (<a href=https://www.bea.gov/data/employment/employment-county-metro-and-other-areas>US Bureau of Economic Analysis</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e5">Economy - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=HDD DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Cooling and heating degree days - Cities and FUAs Degrés-jours de chauffage et de refroidissement - Villes et FUA <p align="justify">This dataset provides indicators of Cooling and Heating Degree Days (CDDs and HDDs) for FUAs and cities. CDDs and HDDs are measurements used to estimate energy usage based on outdoor temperature. CDD measures the demand for cooling, while HDD measures the demand for heating, both calculated relative to a baseline temperature.</p> <h3>Data sources and methodology</h3> <p align="justify"> The indicators use 0.1-degree resolution grids from the <a href=https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR>ERA5-Land dataset</a>. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature when the outdoor temperature is above the threshold temperature. HDDs are the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature. Threshold temperatures are set to 22°C for CDDs and 15°C for HDDs.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. </p> The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dj">Cooling and heating degree days - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of Cooling and Heating Degree Days (CDDs and HDDs) for FUAs and cities. CDDs and HDDs are measurements used to estimate energy usage based on outdoor temperature. CDD measures the demand for cooling, while HDD measures the demand for heating, both calculated relative to a baseline temperature.</p> <h3>Data sources and methodology</h3> <p align="justify"> The indicators use 0.1-degree resolution grids from the <a href=https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR>ERA5-Land dataset</a>. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature when the outdoor temperature is above the threshold temperature. HDDs are the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature. Threshold temperatures are set to 22°C for CDDs and 15°C for HDDs.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dj">Cooling and heating degree days - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,UNIT_MEASURE=KT_CO2E,MEASURE=GHG_TOTAL,TIME_PERIOD_START=2019 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Greenhouse gas emissions - Cities and FUAs Émissions de gaz à effet de serre - Villes et FUAs <p align="justify">This dataset provides statistics on greenhouse gas emissions (GHG) in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">GHG emissions at the subnational level are estimated using the Emissions Database for Global Atmospheric Research (EDGAR) version 8.0 developed by the European Commission Joint Research Centre and the Internation Energy Agency (EC JRC/IEA, 2023). EDGAR provides annual sector-specific grid maps for four GHGs (carbon dioxide or CO2, methane or CH4, nitrous oxide or N2O and fluorinated gases or F-gases) at a 0.1° spatial resolution (approximately 11 km). The different sectors covered are: Energy, Industry, Transport, Building, Agriculture, Waste. Emissions from land use and land cover change are not included. In EDGAR, national GHG emissions are disaggregated at subnational level by using subsector-specific geospatial proxies. GHG emissions are expressed in CO2 equivalents using 100-year global warming potential from the IPCC 5th Assessment Report (AR5), i.e. 28 for CH4 and 265 for N2O. EDGAR is used to ensure global comparability, harmonised methods across countries, and complete subnational coverage, which is not always provided in national reporting. </p> <p align="justify"> These subnational estimates may differ from official subnational statistics. Differences may arise from variations in methodologies, particularly the use of top down spatial downscaling in EDGAR versus bottom up activity based approaches in official inventories, as well as the choice and availability of spatial proxies used to allocate emissions geographically. </p> <br /><br /> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vd>Greenhouse gas emissions - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides statistics on greenhouse gas emissions (GHG) in Functional Urban Areas (FUAs) and Cities.</p> <h3>Data sources and methodology</h3> <p align="justify">GHG are estimated by sector of origin at the subnational level are estimated using the Emissions Database for Global Atmospheric Research (EDGAR) (Joint Research Centre). See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&_csp_=355ee23bb469df35bc8b9adb40cbfd3d&itemIGO=oecd&itemContentType=book#section-d1e19964">methodology</a>. <br /><br /> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vd>Greenhouse gas emissions - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,UNIT_MEASURE=M2_PS DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Green areas - FUAs Espaces verts - FUA <p align="justify">This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">Green areas are estimated from the WorldCover global dataset and are defined as the sum of the following land cover classes: trees, shrubland and grassland. The indicators related to green areas are the share of green areas (in % of the total area) and green areas per capita (in m2 per capita). WorldCover is used as it provides harmonised, globally consistent coverage at very fine spatial resolution (10 m), enabling the production of comparable subnational indicators on land cover. To ensure comparability across FUAs, only urban centres as defined by the degree of urbanisation are considered. </p> <p align="justify">These estimates may differ from official subnational land cover statistics due to differences in methodologies, such as top down remote-sensing based estimation versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify land cover types.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1di">Green areas - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of the availability of green areas in urban centres of Functional Urban Areas (FUAs).</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses ESA Worldcover data <a href="https://zenodo.org/record/5571936">(Zanaga et al., 2021)</a>, providing worldwide land cover data for 2020 at a 10 metre resolution. Green areas include trees, shrublands and grasslands. To ensure comparability across FUAs, only urban centres as defined by the degree of urbanisation are considered.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1di">Green areas - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+BE001C+BE002C+BE003C+BE004C+NLD+NL001F+NL002F+NL003F+NL004F+NL001C+NL002C+NL003C+NL004C,UNIT_MEASURE=KM2,MEASURE=TOTAL_BUILT+LC_CRO,TIME_PERIOD_START=2021 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Land cover - Cities and FUAs Couverture du sol - Villes et FUAs <p style="text-align: justify;">This dataset provides sub-national indicators on land cover in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6"> The land use and land cover indicators are estimated from the WorldCover global dataset. WorldCover is a global land cover product at 10 m resolution for 2021 based on both Sentinel-1 and Sentinel-2 data. WorldCover is used as it provides harmonised, globally consistent coverage at very fine spatial resolution (10 m), enabling the production of comparable subnational indicators on land cover. These estimates may differ from official subnational land cover statistics due to differences in methodologies, such as top down remote-sensing based estimation versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify land cover types. The land cover classes available are: <ul> <li>Bare area - includes barren / sparse vegetation, moss and lichen, snow and ice.</li> <li>Inland water</li> <li>Natural and semi-natural vegetated land - includes trees, shrubland, grassland</li> <li>Agricultural area</li> <li>Wetland - includes herbaceous wetland and mangroves</li> <li>Total built-up area</li> </ul> </div> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p style="text-align: justify;">This dataset provides sub-national indicators on land cover in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6"> The land use and land cover indicators are based on the WorldCover dataset. WorldCover is a global land cover product at 10 m resolution for 2021 based on both Sentinel-1 and Sentinel-2 data. The land cover classes available are: <ul> <li>Bare area - includes barren / sparse vegetation, moss and lichen, snow and ice.</li> <li>Inland water</li> <li>Natural and semi-natural vegetated land - includes trees, shrubland, grassland</li> <li>Agricultural area</li> <li>Wetland - includes herbaceous wetland and mangroves</li> <li>Total built-up area</li> </ul> </div> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,UNIT_MEASURE=MCG_M3,MEASURE=PM25_POP_EXP DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Air pollution - Cities and FUAs Pollution de l'air - Villes et FUA <p align="justify">This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Air pollution exposure is estimated using Plume Labs air pollution exposure grids for 3 air pollutants: nitrogen dioxide (NO2), fine particulate matters (PM2.5) and coarse particulate matters (PM10). The OECD obtained this dataset thanks to the Development Data Partnership, a collaboration between international organisations and technology companies, facilitating the efficient and responsible use of third-party data in international development. Average population exposure to air pollution is estimated at the local scale by computing the population-weighted average air pollutant concentration, using the Global Human Settlement Layer population grid (GHS-POP). PlumeLabs is used as it provides global, harmonised air pollution grids ensuring international comparability, complete subnational coverage, and consistent measurement of multiple pollutants, including in areas where national monitoring networks are sparse or incomplete. </p> <p align="justify"> These estimates may differ from official subnational air quality statistics due to differences in methodological approaches, such as the use of modelled, top down pollution surfaces versus ground based monitoring networks, as well as variations in input data sources, spatial resolution, satellite retrieval methods, and the models used to simulate or interpolate pollutant concentrations. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p>The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.</p> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and four accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dg">Air pollution - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify">Air pollution indicators use PlumLabs ( “Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data.” Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/) gridded data. The available 0.1° by 0.1° resolution grids provide the estimated mean concentration of PM2.5, PM10, ozone and nitrogen dioxide. Indicators provide an estimate of the population-weighted average pollutant concentration and the share of the population living in areas where pollutant concentrations exceed World Health Organization guidelines (5 μg/m³ for PM2.5, 15 μg/m³ for PM10, 60 μg/m³ for ozone, and 10 μg/m³ for nitrogen dioxide).</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dg">Air pollution - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+BE001C+BE002C+BE003C+BE004C+NLD+NL001F+NL002F+NL003F+NL004F+NL001C+NL002C+NL003C+NL004C,UNIT_MEASURE=KM2,DESIGNATION=ALL_INC_P,MEASURE=TERRESTRIAL,TIME_PERIOD_START=2023 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Protected areas - Cities and FUAs Aires protégées - Villes et FUAs <p style="text-align: justify;">This dataset provides sub-national indicators on protected areas in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <p style="text-align: justify;"> Protected areas are estimated using the World Database on Protected Areas - WDPA (UNEP-WCMC and IUCN, 2024), a comprehensive global database on terrestrial and marine protected areas. It is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN), and is managed by UN Environment Programme World Conservation Monitoring Centre (UNEPWCMC), in collaboration with governments, non-governmental organisations, academia and industry. Protected areas are classified into 100% terrestrial, coastal: marine and terrestrial, and 100% marine. In this dataset, marine protected areas are excluded. WDPA is used to ensure globally consistent definitions and comparable cross country data, as national datasets vary widely in classification systems and reporting practices. </p> <p style="text-align: justify;">These estimates may differ from official subnational statistics due to differences in methodological approaches, including the use of global standardised classifications versus national designation systems of natural protected areas, variations in data submission frequency, data validation protocols, and differences in spatial boundaries or mapping accuracy.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> </p> <p>The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format.</p> <p>The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and four accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p style="text-align: justify;">This dataset provides sub-national indicators on protected areas in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <p style="text-align: justify;"> Protected areas are estimated using the World Database on Protected Areas - WDPA (UNEP-WCMC and IUCN, 2024), a comprehensive global database on terrestrial and marine protected areas. It is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN), and is managed by UN Environment Programme World Conservation Monitoring Centre (UNEPWCMC), in collaboration with governments, non-governmental organisations, academia and industry. Protected areas are classified into 100% terrestrial, coastal: marine and terrestrial, and 100% marine. In this dataset, marine protected areas are excluded. WDPA is used to ensure globally consistent definitions and comparable cross country data, as national datasets vary widely in classification systems and reporting practices. </p> <p style="text-align: justify;">These estimates may differ from official subnational statistics due to differences in methodological approaches, including the use of global standardised classifications versus national designation systems of natural protected areas, variations in data submission frequency, data validation protocols, and differences in spatial boundaries or mapping accuracy.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+BE001C+BE002C+BE003C+BE004C+NLD+NL001F+NL002F+NL003F+NL004F+NL001C+NL002C+NL003C+NL004C,UNIT_MEASURE=PT_TCAR_BP,MEASURE=LCC_FORELOSS,TIME_PERIOD_START=2023 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Tree cover loss - Cities and FUAs Perte du couvert forestier - Villes et FUAs <p style="text-align: justify;">This dataset provides sub-national indicators on forest cover loss in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6"> Tree cover loss is estimated using Hansen Global Forest Change v1.11 dataset, which provides global forest extent and change from 2000 to 2023 at 30m resolution based on Landsat satellite images. Tree cover loss is defined as a stand-replacement disturbance (a change from a forest to non-forest state). GHSL is used as it provides harmonised, globally consistent coverage at very fine spatial resolution (30 m), enabling the production of comparable subnational indicators on tree cover loss. </div> <p style="text-align: justify;">These estimates may differ from official subnational deforestation statistics due to differences in methodologies, such as top down remote-sensing based estimation versus bottom up data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify forest cover change.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p style="text-align: justify;">This dataset provides sub-national indicators on forest cover loss in FUAs and Cities.</p> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6"> Forest cover loss is obtained using Hansen Global Forest Change v1.11 dataset, which provides global forest extent and change from 2000 to 2023 at 30m resolution based on Landsat satellite images. Tree cover loss is defined as a stand-replacement disturbance (a change from a forest to non-forest state). </div> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vo >Climate projections by scenario, 2030-2060 – Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,TIME_SEASON=DAY_SUMMER DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Urban heat island - FUAs Îlot de chaleur urbain - FUA <p align="justify">This dataset provides an indicator of the urban heat island intensity in FUAs. Cities often record higher temperatures than their surrounding areas due to the urban heat island effect. This phenomenon results from high building density, heat generated by human activities, building materials and limited vegetation.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator is defined as the difference between the mean temperature for urban lands and the mean temperature for non-urban lands. Following the International Geoshpere-Biosphere Programme (IGBP) classification, urban lands correspond to the "urban and built-up lands" class from the <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1">MODIS yearly land cover data</a>, and non-urban lands correspond to the remaining classes, except "water bodies". Land surface temperature is derived from <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1">MODIS Terra</a> and <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1">Aqua</a> land surface temperature daily datasets. The mean temperature is computed for both urban and non-urban lands for the whole year and for summer only (1 June to 31 August for the Northern Hemisphere and 1 December to 28 February for the Southern hemisphere). More details can be found in <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2022_14108660-en/full-report/component-36.html#section-d1e18979">Regions and Cities at a Glance 2022</a>. MODIS is used because it offers globally consistent, high frequency land surface temperature observations for both daytime and nighttime at medium-high spatial resolution (1 km), enabling the production of harmonised and comparable subnational indicators across countries.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of top-down satellite measurement versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate land surface temperature estimates </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dh">Urban heat island - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of the urban heat island intensity in FUAs. Cities often record higher temperatures than their surrounding areas due to the urban heat island effect. This phenomenon results from high building density, heat generated by human activities, building materials and limited vegetation.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator is defined as the difference between the mean temperature for urban lands and the mean temperature for non-urban lands. Following the International Geoshpere-Biosphere Programme (IGBP) classification, urban lands correspond to the "urban and built-up lands" class from the <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1">MODIS yearly land cover data</a>, and non-urban lands correspond to the remaining classes, except "water bodies". Land surface temperature is derived from <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MOD11A1">MODIS Terra</a> and <a href="https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MYD11A1">Aqua</a> land surface temperature daily datasets. The mean temperature is computed for both urban and non-urban lands for the whole year and for summer only (1 June to 31 August for the Northern Hemisphere and 1 December to 28 February for the Southern hemisphere). More details can be found in <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2022_14108660-en/full-report/component-36.html#section-d1e18979">Regions and Cities at a Glance 2022</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dh">Urban heat island - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true TIME_PERIOD LAYOUT_COLUMN PATENT_TECH LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=DNK+DK001F+DK002F+DK003F+DK004 UNIT_MEASURE_CONCEPTS PATENT_TECH:OECD.CFE.EDS:HCL_PATENT_TECH(1.0).H HIER_CONTEXT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Total and environment-related patents - FUAs Brevets totaux et brevets liés à l'environnement - FUAs <p align="justify">This dataset provides indicators on total and environment-related patents in Functional Urban Areas (FUAs). The indicator is defined as the fractional count of (environment-related) patent applications.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses patent applications filled under the Patent Cooperation Treaty (PCT) at the World International Property Organisation (WIPO) from the OECD, STI Micro-data Lab Intellectual Property Database, <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a>. <br /><br /> Patents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed. <br /><br /> Patents are classified as environment-related following their technology domain, obtained from the methodology of the <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CScience%252C%20technology%20and%20innovation%23INT%23%7CIntellectual%20property%23INT_PRP%23&pg=0&fc=Topic&bp=true&snb=8&vw=ov&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_PATENTS%40DF_PATENTS_ENVIROMENT&df[ag]=OECD.STI.PIE&df[vs]=1.0&dq=.A...PRIORITY...INVENTOR..._T&pd=2020%2C2021&to[TIME_PERIOD]=false">Environment-related technologies patents</a> national-level dataset (<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=125cb3c8-3023-4ddc-940e-6ab627068740">database documentation</a>). Environment-related patents include patents on climate change mitigation, environmental management, sustainable ocean economy and climate change adaptation technologies. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dn>Environment-related patents - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators on total and environment-related patents in Functional Urban Areas (FUAs). The indicator is defined as the fractional count of (environment-related) patent applications.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses patent applications filled under the Patent Cooperation Treaty (PCT) at the World International Property Organisation (WIPO) from the OECD, STI Micro-data Lab Intellectual Property Database, <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a>. <br /><br /> Patents are allocated to FUAs based on the postal addresses of inventors. The year refers to the date the patent application was filed. <br /><br /> Patents are classified as environment-related following their technology domain, obtained from the methodology of the <a href="https://data-explorer.oecd.org/vis?lc=en&fs[0]=Topic%2C1%7CScience%252C%20technology%20and%20innovation%23INT%23%7CIntellectual%20property%23INT_PRP%23&pg=0&fc=Topic&bp=true&snb=8&vw=ov&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_PATENTS%40DF_PATENTS_ENVIROMENT&df[ag]=OECD.STI.PIE&df[vs]=1.0&dq=.A...PRIORITY...INVENTOR..._T&pd=2020%2C2021&to[TIME_PERIOD]=false">Environment-related technologies patents</a> national-level dataset (<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=125cb3c8-3023-4ddc-940e-6ab627068740">database documentation</a>). Environment-related patents include patents on climate change mitigation, environmental management, sustainable ocean economy and climate change adaptation technologies. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1dn>Environment-related patents - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AT001F+AT002F+AT003F+AT004F+AT005F+AT006F,MEASURE=EMP_RATIO,AGE=Y15T64 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Labour market - FUAs Marché du travail - FUA <p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides labour market indicators for FUAs of more than 250 000 inhabitants, including labour force, participation rate, employment, employment to population ratio, unemployment and unemployment rate.</p> <h3>Data sources and methodology</h3> <p align="justify"> When labour statistics are unavailable at a more granular level than FUAs (e.g. municipal level), the indicators are estimated by adjusting the regional (OECD TL2 and TL3 regions) values to the FUA boundaries, based on the population distribution in each region. Regional values (labour force, employment and unemployment) in TL3 regions are used as data inputs and combined with gridded population data <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. FUA boundaries are intersected with TL3 borders to compute the share of the regional population that lives within FUAs in each region. This share is then applied to the variable of interest (e.g. employment) and allocated to the FUA. In case several regions intersect the FUA, the adjusted values of intersecting regions are summed. For countries where TL3-level data is not available, data for TL2 regions is used. This approach assumes that the variable of interest has the same spatial distribution as population. Therefore, the modelled indicators should be interpreted with caution.<br /><br /> When a more granular level is available, data is aggregated for each FUA. For example in the United States, labour market data is available at the county-level (<a href=https://www.bls.gov/lau/#cntyaa>US Bureau of Labor Statistics</a>), and then aggregated by FUA. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dx">Labour market - FUAs</a>), <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BEL+BE001F+BE002F+BE003F+BE004F+BE001C+BE002C+BE003C+BE004C+NLD+NL001F+NL002F+NL003F+NL004F+NL001C+NL002C+NL003C+NL004C,UNIT_MEASURE=10P3HB,MEASURE=VEH_STOCK_TOTAL,TIME_PERIOD_START=2019 DEFAULT Private road vehicles - Cities and FUAs Véhicules - Villes et FUAs <p align="justify">This dataset provides statistics on passenger private road motor vehicles by type of engine, in FUAs and Cities. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vb>Private road vehicles - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides statistics on passenger private road motor vehicles by type of engine, in FUAs and Cities. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1vb>Private road vehicles - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=POP_DEN,TIME_PERIOD_START=2010 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Population and built-up density - Cities and FUAs Densité de population et de la surface bâtie - Villes et FUA <p align="justify">This dataset provides indicators of population density and built-up area in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHSL built-up surface grids <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Population counts are extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. GHSL is used as it provides harmonised, globally consistent coverage at fine spatial resolution (100 m), enabling the production of comparable subnational indicators on built-up areas. </p> <p align="justify"> These estimates may differ from official subnational built-up statistics due to differences in methodologies, such as top down remote-sensing based estimations versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify built up areas. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e6">Population and built-up density - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides indicators of population density and built-up area in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> FUA and city surfaces are calculated from FUA and city shapefiles, using GIS tools. Built-up data uses GHS built-up surface grids <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Population counts are extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e6">Population and built-up density - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT001F+AT002F+AT003F+AT004F+AT005F+AT006F+AT001C+AT002C+AT003C+AT004C+AT005C+AT006C,MEASURE=LAU_C DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Local administrative units - Cities and FUAs Collectivités locales - Villes et FUA <p align="justify">This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Local administrative units (LAUs) are mapped to FUAs and cities using GIS techniques. The correspondence table between LAUs and FUAs/cities is available following <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> Information on population is extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e4">Local administrative units - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of the number of local administrative units (LAUs) in FUAs and cities.</p> <h3>Data sources and methodology</h3> <p align="justify"> Local administrative units (LAUs) are mapped to FUAs and cities using GIS techniques. The correspondence table between LAUs and FUAs/cities is available following <a href=https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21612592-67a6-4718-baf5-23c7f832ffed>this link</a>.<br /><br /> Information on population is extracted from the <a href=https://data-explorer.oecd.org/vis?df[ds]=Design&df[id]=DSD_FUA_DEMO%40DF_AGE_SEX&df[ag]=OECD.CFE.EDS>Population by age and sex - FUAs and cities</a> dataset. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1e4">Local administrative units - Cities and FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS16F+AUS17F+AUS15F+AUS13F+AUS12F+AUS11F+AUS10F+AUS08F+AUS07F+AUS06F+AUS05F+AUS04F+AUS03F+AUS01F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Access to public transport - FUAs Accès aux transports publics - FUA <p align="justify">This dataset provides an indicator of accessibility to public transport stops in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population living within a specific walking travel time to the nearest public transport stop.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>public transport stops' location from General Transit Feed Specification (GTFS) data;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1db">Access to public transport - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of accessibility to public transport stops in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population living within a specific walking travel time to the nearest public transport stop.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>public transport stops' location from General Transit Feed Specification (GTFS) data;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1db">Access to public transport - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true SERVICE LAYOUT_COLUMN TRAVEL_TIME LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BE001F+BE002F+BE003F+BE004F+BE005F+BE006F+BE007F+BE009F+BE010F+BE011F+BE012F+BE013F+BE014F+BE015F,TRAVEL_TIME=MN_LE15 DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Access to services - FUAs Accès aux services - FUAs <p align="justify">This dataset provides an indicator of accessibility to essential services in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population that lives within a specific walking travel time to at least one pharmacy, primary school, or childcare facility.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>service location data from national sources;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dc">Access to services - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of accessibility to essential services in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population that lives within a specific walking travel time to at least one pharmacy, primary school, or childcare facility.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>service location data from national sources;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dc">Access to services - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true TRAN_MODE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=PT_WR,REF_AREA=CAN01F+CAN02F+CAN03F+CAN04F+CAN05F+CAN06F+CAN07F+CAN08F+CAN09F+CAN10F+CAN11F+CAN12F+CAN13F+CAN14F+CAN15F+CAN16F+CAN17F+CAN18F+CAN19F+CAN20F+CAN21F+CAN22F+CAN23F+CAN24F+CAN25F+CAN26F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Main mode of transport to work - Cities and FUAs Principal mode de transport pour se rendre au travail - Villes et FUA <p align="justify">This dataset provides an indicator of the main mode of transport to work in Functional Urban Areas (FUAs) and cities. The indicator is defined as the share of people using a given mode to commute to work. Modes of transport include car, scooter, public transport (including company buses), bicycle, walking and other. The indicator excludes employed people working from home.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses data extracted from the <a href="https://ec.europa.eu/eurostat/databrowser/view/urb_ltran__custom_9023242/default/table?lang=en">Eurostat database</a> for European countries. For non-European countries, data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. A detailed description of the data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#title-bbc272424c">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> <p> The correspondence table between SAUs and FUAs/cities is available in <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.parquet>parquet </a> and <a href=https://webfs-cfe.oecd.org/files/.Stat/cities_local_areas/fua_cities_sau_mapping.csv>csv</a> format. </p> The definition identifies 1 272 FUAs and 1 269 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dd">Main mode of transport to work - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of the main mode of transport to work in Functional Urban Areas (FUAs). The indicator is defined as the share of people using a given mode to commute to work. Modes of transport include car, scooter, public transport (including company buses), bicycle, walking and other. The indicator excludes employed people working from home.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses data extracted from the <a href="https://ec.europa.eu/eurostat/databrowser/view/urb_ltran__custom_9023242/default/table?lang=en">Eurostat database</a> for European countries. For non-European countries, data is collected at the level of small administrative units (e.g. municipalities) and aggregated at the FUA and city level. A detailed description of the data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#title-bbc272424c">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1dd">Main mode of transport to work - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=KOR01F+USA01F+USA02F+UK001F+FR001F+MEX01F+USA03F+USA04F+COL01F+CAN01F+ES001F+CL011F+DE006F+USA05F+DE001F+ES002F+IT002F+CAN02F+AUS01F+IT001F+DE002F+BE001F+PL001F+UK002F+SE001F+NL001F+DE003F+AT001F DEFAULT EXT_RESOURCE FUAs and cities' boundaries (GPKG file)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff Limites des FUAs et des villes (fichier GPKG)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3b18f993-eae9-4870-918c-e098d9fcd6ff COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Transport performance - FUAs Performance des transports - FUAs <p align="justify">This dataset provides an indicator of public transport performance in Functional Urban Areas (FUAs). The indicator is defined as the ratio of accessibility, defined as the number of people reachable within 30 minutes by public transport to proximity, defined as the number of people in the area that could be reached in a 30-minute traffic-free car journey.</p> <h3>Data sources and methodology</h3> <p align="justify">The methodology follows the OECD-International Transport Forum/European Commission Urban Access Framework (UAF) <a href=https://doi.org/10.1787/4b1f722b-en>(ITF, 2019)</a>. The indicator uses: <ul> <li>General Transit Feed Specification (GTFS) data on travel times and stops;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href=https://github.com/conveyal/r5>R5 routing engine</a> and its r5r R wrapper <a href=https://doi.org/10.32866/001c.21262>(Pereira et al., 2021)</a> and the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26205-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1de>Transport performance - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p align="justify">This dataset provides an indicator of public transport performance in Functional Urban Areas (FUAs). The indicator is defined as the ratio of accessibility, defined as the number of people reachable within 30 minutes by public transport to proximity, defined as the number of people in the area that could be reached in a 30-minute traffic-free car journey.</p> <h3>Data sources and methodology</h3> <p align="justify">The methodology follows the OECD-International Transport Forum/European Commission Urban Access Framework (UAF) <a href=https://doi.org/10.1787/4b1f722b-en>(ITF, 2019)</a>. The indicator uses: <ul> <li>General Transit Feed Specification (GTFS) data on travel times and stops;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href=https://github.com/conveyal/r5>R5 routing engine</a> and its r5r R wrapper <a href=https://doi.org/10.32866/001c.21262>(Pereira et al., 2021)</a> and the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href=https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE>(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26205-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>.</p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href=http://data-explorer.oecd.org/s/1de>Transport performance - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,POLLUTANT=PM2_5 DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Exposure to air pollution - Local areas Exposition à la pollution de l'air - Zones locales <p>This dataset provides estimates on the exposure to air pollution in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fce45f30-54a0-4847-9f7a-e1be9ef88c0d">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify">Air pollution exposure is estimated using Plume Labs air pollution exposure grids for 3 air pollutants: nitrogen dioxide (NO2), fine particulate matters (PM2.5) and coarse particulate matters (PM10). The OECD obtained this dataset thanks to the Development Data Partnership, a collaboration between international organisations and technology companies, facilitating the efficient and responsible use of third-party data in international development. Average population exposure to air pollution is estimated at the local scale by computing the population-weighted average air pollutant concentration, using the Global Human Settlement Layer population grid (GHS-POP). PlumeLabs is used as it provides global, harmonised air pollution grids ensuring international comparability, complete subnational coverage, and consistent measurement of multiple pollutants, including in areas where national monitoring networks are sparse or incomplete. </p> <p align="justify"> These estimates may differ from official subnational air quality statistics due to differences in methodological approaches, such as the use of modelled, top down pollution surfaces versus ground based monitoring networks, as well as variations in input data sources, spatial resolution, satellite retrieval methods, and the models used to simulate or interpolate pollutant concentrations. </p> <h3>Further information</h3> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T,MEASURE=AIR_TEMP2M DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Air temperature trends - Local areas Tendances de la température de l'air - Zones locales <p>This dataset provides air temperature trends in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=69f7c1f3-b0cf-4fdc-be9e-442e47da70fb">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify"> Temperature trends are estimated using ERA5-Land data and correspond to the average annual air temperature at a height of 2 meters in the past 5 years. Changes in air temperature (in °C) are calculated relative to the average air temperature over the period from 1981 to 2010. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Coastal flooding - Local areas Inondations côtières - Zones locales <p>This dataset provides estimates on the share of population exposed to coastal flooding in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=63d25327-49ea-47aa-8a8f-b05b0ef234d0">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify"> Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a href=https://doi.org/10.1038/ncomms11969>(Muis, S. et al., 2016)</a>. Population exposure to coastal flooding is assessed using a 100-year return period, which corresponds to the average duration between two flooding events of the same intensity. Harmonised international hazard models are used to ensure global comparability, consistent modelling assumptions across countries, and complete subnational coverage. </p> <p align="justify"> These estimates may differ from official subnational flood risk statistics due to differences in methodological approaches - such as the use of global, modelled top down hazard maps versus national hydrological models or administrative flood zone delineations - as well as variations in input data sources, spatial resolution, and hydraulic modelling techniques. </p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=HDD DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Cooling and heating degree days - Local areas Degrés-jours de refroidissement et de chauffage - Zones locales <p> This dataset provides municipal and local area statistics on Cooling and Heating Degree Days (CDDs and HDDs)</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=731a697d-185a-4da3-8272-3efd8d0421f2">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify"> CDDs and HDDs are measurements used to estimate energy usage based on outdoor temperature. CDD measures the demand for cooling, while HDD measures the demand for heating, both calculated relative to a baseline temperature. The indicators use 0.1-degree resolution grids from the <a href=https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR>ERA5-Land dataset</a>. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. Annual CDDs are the sum over a year of the differences between the daily mean outdoor air temperature and the threshold temperature when the outdoor temperature is above the threshold temperature. HDDs are the sum over a year of the differences between the threshold temperature and the daily mean outdoor air temperature when the outdoor temperature is below the threshold temperature. Threshold temperatures are set to 22°C for CDDs and 15°C for HDDs.</p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.. </p> See the <a href="https://localdatahub-pp.oecd.org/methodology.html?topic=energy&indicator=CDD_T_22C" >Local Data Portal</a> for more information. <h3>Further information</h3> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Degree of urbanisation - Local areas <p>This dataset provides the degree of urbanisation in OECD Local Areas. </p> <p> The Degree of Urbanisation classification is an international framework to categorise areas based on population density, contiguity, and settlement size, offering a consistent approach to defining cities, towns, suburbs and rural areas. The dataset presents this classification at Level 1. It distinguishes between three broad types: cities, towns and semi-dense areas, and rural areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 count. </p> <b>The full dataset can be downloaded here: <a href="">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=DEGURBA_L1&topic=ghsl" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Population density - Local areas <p>This dataset provides population density values in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 estimate. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3c865d8-ace7-4e3e-83b0-8bd7e0380f84">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=POP_DENS&topic=ghsl" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2020,DD_DIM=_T,SEX=_T,AGE=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,SEX,AGE,OBS_VALUE DRILLDOWN_CONCEPTS Population by age and sex - Local areas Population par âge et sexe - Zones locales <p>This dataset provides population counts by age and sex groups in OECD Local Areas. </p> <p>The population by age group is provided by sex for 3 age groups: younger than 14 years old, between 15 and 64 years old, and older than 65 years old.</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 estimate. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a088d14a-3c21-470d-908b-4ea0741dd550">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Cet ensemble de données fournit des chiffres de population par tranche d'âge dans les zones locales de l'OCDE. </p> <p>La population par tranche d'âge est fournie par sexe pour 3 tranches d'âge : moins de 14 ans, entre 15 et 64 ans et plus de 65 ans.</p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a088d14a-3c21-470d-908b-4ea0741dd550">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Green areas - Local areas Espaces verts - Zones locales <p>This dataset provides green areas estimates for OECD Local Areas. </p> <p>Green areas are defined as the sum of WorldCover land cover classes: trees, shrubland and grassland. The indicators displayed are the share of green areas (in % of the total area) and green areas per capita (in m2 per capita).</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=406372e4-a2fe-42ae-b1f3-8a5b0b8ec64d">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify">Green areas are estimated from the WorldCover global dataset and are defined as the sum of the following land cover classes: trees, shrubland and grassland. The indicators related to green areas are the share of green areas (in % of the total area) and green areas per capita (in m2 per capita). WorldCover is used as it provides harmonised, globally consistent coverage at very fine spatial resolution (10 m), enabling the production of comparable subnational indicators on land cover. To ensure comparability across FUAs, only urban centres as defined by the degree of urbanisation are considered. </p> <p align="justify">These estimates may differ from official subnational land cover statistics due to differences in methodologies, such as top down remote-sensing based estimation versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify land cover types.</p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> <p>Cet ensemble de données expérimentales fournit des estimations des zones vertes pour les zones locales de l'OCDE. </p> <p>Les zones vertes estimées sont définies comme la somme des classes de couverture terrestre WorldCover : arbres, arbustes et prairies. Les indicateurs affichés sont la part des espaces verts (en % de la superficie totale) et des espaces verts par habitant (en m2 par habitant)</p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=406372e4-a2fe-42ae-b1f3-8a5b0b8ec64d">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Land Cover - Local areas Couverture terrestre - Zones locales <p>This dataset provides land cover estimates for OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=56512f84-b55f-4e92-b7ff-e1c2822072ee">Download Microdata </a></b> <h3>Data sources and methodology</h3> <div class="text-gray-500 px-6"> The land use and land cover indicators are estimated from the WorldCover global dataset. WorldCover is a global land cover product at 10 m resolution for 2021 based on both Sentinel-1 and Sentinel-2 data. WorldCover is used as it provides harmonised, globally consistent coverage at very fine spatial resolution (10 m), enabling the production of comparable subnational indicators on land cover. These estimates may differ from official subnational land cover statistics due to differences in methodologies, such as top down remote-sensing based estimation versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify land cover types. The land cover classes available are: <ul> <li>Bare area - includes barren / sparse vegetation, moss and lichen, snow and ice.</li> <li>Inland water</li> <li>Natural and semi-natural vegetated land - includes trees, shrubland, grassland</li> <li>Agricultural area</li> <li>Wetland - includes herbaceous wetland and mangroves</li> <li>Total built-up area</li> </ul> </div> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34+AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,TIME_PERIOD_START=2023,DD_DIM=_T,MEASURE=HD DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Extreme temperatures - Local areas Températures extrêmes - Zones locales <p>This dataset provides extreme temperature trends, such as hot and icing days and tropical nights in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=386fd368-c006-45db-aa7b-45e25f9a0354">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify">Indicators are estimated using <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Air temperature indicators correspond to the average annual air temperature at a height of 2 meters. Hot days correspond to the number of days when the maximum temperature exceeds 35°C. Tropical nights correspond to the days when the minimum temperature is above 20°C, and icing days to the number of days when the maximum temperature is below 0°C. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Share of burned areas - Local areas Part des zones brûlées - Zones locales <p>This dataset provides estimates on the shared of burned areas in OECD Local Areas. </p> <p> Burned areas are identified using the Globfire Fire Perimeters dataset, derived from the MODIS MCD64A1 burned area data product. The data displays the share of area burned in the 5 years from the period 2019-2023. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="">Download Microdata </a></b> <h3>Data sources and methodology</h3> Burned areas are estimated using the Globfire Fire Perimeters dataset, derived from the MODIS MCD64A1 burned area data product. The OECD Local Data Portal displays the share of area burned in the last 5 years. MODIS provides globally consistent, high-frequency observations with both spatial and temporal continuity, allowing harmonised monitoring of burned areas across countries and regions. These estimates may differ from official subnational fire statistics due to differences in methodological approaches, such as the use of top-down satellite-based detection versus bottom-up administrative or field-reported fire records, as well as variations in spatial resolution, detection thresholds, and classification algorithms. <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,MEASURE=SURFACE,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Land cover built up area - Local areas Couverture terrestre zone bâtie - Zones locales <p>This dataset provides land cover built up area estimates for OECD Local Areas. </p> <p>The land cover built up area indicators are based on the Global Human Settlement Layer (GHSL) dataset. The following classes of surface and volume are available: <ul> <li>Residential built-up</li> <li>Non-residential built-up</li> <li>Total built-up</li> </ul> </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=26074925-ed9e-46f5-bf83-f73a80d42c80">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify"> Built-up surface indicators are comprised of total built-up surface, residential built-up surface, and non-residential built-up surface, all expressed in square meters (m2) per capita. These indicators are derived from grid-level population and built-up surface estimates from the Global Human Settlement Layer (GHSL). Built-up surface growth is computed by comparing the built-up surface at local level in 2020 and in 2000 (in %). GHSL is used as it provides harmonised, globally consistent coverage at fine spatial resolution (100 m), enabling the production of comparable subnational indicators on built-up areas. These estimates may differ from official subnational built-up statistics due to differences in methodologies, such as top down remote-sensing based estimations versus bottom up cadastral or administrative data, along with differences in satellite imagery sources, spatial resolution, and model accuracy used to detect and classify built up areas.</p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,UNIT_MEASURE,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,MEASURE=ELEC,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Energy used for heating in dwellings - Local areas <p>This dataset provides estimates on the energy used for heating in dwellings for OECD Local Areas. </p> <p>The energy sources used for heating in dwellings include electricity, natural gas, district heating, fuel oil, coal, biomass, and other sources. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=df1c8463-a5d5-49a2-8a5d-a5d923153f87">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_ENER_HEAT&topic=housing" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,SEX=_T,AGE=Y15T64,MEASURE=EMP_RATIO,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Employment by age group and sex - Local Areas Emploi par groupe d'âge et sexe - Zones locales <p>This dataset provides employment rates and number of employed people by age and sex for OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a97376ae-a556-42e5-8512-ba18f3f6b5a2">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Ce jeu de données contient les taux d'emploi et le nombre de personnes occupées par âge et sexe pour les zones locales de l'OCDE. </p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a97376ae-a556-42e5-8512-ba18f3f6b5a2">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_WORLDCOVER&topic=environment" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0,UNIT_MEASURE=MM NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=PRECIP_SUM DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Precipitation - Local areas Précipitations - Zones locales <p>This dataset provides trends on total precipitation and extreme precipitation days in OECD Local Areas. </p> <p> Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation. Changes in total precipitation and extreme precipitation days are reported relative to the 1981–2010 baseline average. All values are given in millimetres (mm). </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify">The indicators use <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a> data. Total precipitation is the sum of all liquid and frozen water—such as rain and snow—that reaches the Earth's surface each year. It excludes fog, dew, and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,UNIT_MEASURE=KM2 DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Protected areas - Local areas Aires protégées - Zones locales <p>This dataset provides estimates on the share and coverage of Protected Areas in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d9aad517-be11-4115-8980-8f292db6dcc0">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p> Protected areas are estimated using the World Database on Protected Areas - WDPA (UNEP-WCMC and IUCN, 2024), a comprehensive global database on terrestrial and marine protected areas. WDPA is a joint project between UN Environment Programme and the International Union for Conservation of Nature (IUCN), and is managed by the UN Environment Programme World Conservation Monitoring Centre (UNEPWCMC), in collaboration with governments, non-governmental organisations, academia and industry. Protected areas are classified into 100% terrestrial, coastal: marine and terrestrial, and 100% marine. In the OECD Local Data Portal, marine protected areas are excluded. WDPA is used to ensure globally consistent definitions and comparable cross country data, as national datasets vary widely in classification systems and reporting practices. These estimates may differ from official subnational statistics due to differences in methodological approaches, including the use of global standardised classifications versus national designation systems of natural protected areas, variations in data submission frequency, data validation protocols, and differences in spatial boundaries or mapping accuracy.</p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS River flooding - Local areas Inondations fluviales - Zones locales <p>This dataset provides estimates on the share of population exposed to river flooding in OECD Local Areas. </p> <p> Population exposure to river flooding is assessed using a 100-year return period, which corresponds to the average duration between two flooding events of the same intensity. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dbddc178-9a8b-42ee-ba2c-3cec23ff4047">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify"> River flooding indicators are estimated using the River Flood Hazard Maps at European and Global Scales datasets <a href=https://doi.org/10.2905/1D128B6C-A4EE-4858-9E34-6210707F3C81>(Dottori, F. et al., 2021)</a>, which provide the extent of river floods for different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. For OECD countries located in Europe and the Mediterranean Basin, the regional 250-metre resolution map was used. For the remaining OECD countries, the global map with a spatial granularity of 1 km was used. Built-up area exposure to river floods is computed by intersecting this map with Copernius annual land cover data <a href=https://doi.org/10.24381/cds.006f2c9a>(Copernicus Climate Change Service, Climate Data Store, 2019)</a> and population exposure is computed using the Global Human Settlement Population layer <a href=https://doi.org/10.2760/098587>(European Commission, GHSL Data Package 2023)</a>. Harmonised international hazard models are used to ensure global comparability, consistent modelling assumptions across countries, and complete subnational coverage. </p> <p align="justify">These estimates may differ from official subnational flood risk statistics due to differences in methodological approaches - such as the use of global, modelled top down hazard maps versus national hydrological models or administrative flood zone delineations - as well as variations in input data sources, spatial resolution, and hydraulic modelling techniques. </p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2022,DD_DIM=_T,MEASURE=HDD DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Soil moisture - Local areas Humidité du sol - Zones locales <p>This dataset provides soil moisture trends in OECD Local Areas. </p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Territorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6ae348a8-be2a-4a9c-a923-2e9f09a7be43">Download Microdata </a></b> <h3>Data sources and methodology</h3> <p align="justify"> The soil moisture refers to the volume of water in the first soil layer (0 to 7 cm). This indicator is based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. These soil moisture change estimates compares yearly data to the 1981-2010 reference period. </p> <p align="justify"> These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates. </p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION LOCAL_AREA_NAME,DD_ID,DD_DIM,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2019,MEASURE=COMMUT_PUBLIC_TRANSPORT,UNIT_MEASURE=PT_WR,DD_DIM=_T DEFAULT DD_DIM DRILLDOWN LOCAL_AREA_NAME,MEASURE,OBS_VALUE DRILLDOWN_CONCEPTS Main mode of transport to work - Local Areas Principal moyen de transport pour se rendre au travail - Zones locales <p>This dataset provides mode of transport to work estimates for OECD Local Areas. </p> <p>The main modes of transport used by workers for commuting to work are categorised into 5 types: car, scooter, public transport (including company buses), bicycle or walking. Workers working from home are excluded from this indicator.</p> <p style="color: #0965c1; font-weight: bold;"> The data is organized at Teritorial Level 2 (TL2). To visualize the data at Local Area level, click on the corresponding TL2 indicator. </p> <b>The full dataset can be downloaded here: <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdbc4949-8839-4572-8bd6-2c15cde3843d">Download Microdata </a></b> <h3>Data sources and methodology</h3> See the <a href="https://localdatahub-pp.oecd.org/index.html?indicator=WORKAGE_SH&topic=demography" >Local Data Portal</a> for more information. <h3>Further information</h3> For any question or comment, please write to <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> <p>Cet ensemble de données fournit des estimations du mode de transport pour se rendre au travail pour les zones locales de l'OCDE. </p> <p> Les principaux modes de transport utilisés par les travailleurs pour se rendre au travail sont classés en 5 types : voiture, scooter, transports en commun (y compris les bus d'entreprise), vélo ou marche. Les travailleurs travaillant à domicile sont exclus de cet indicateur.</p> <p style="color: #0965c1; font-weight: bold;"> Les données sont organisées au niveau territorial 2 (TL2). Pour visualiser les données au niveau de la Zone Locale, cliquez sur l'estimation TL2 correspondante. </p> <b>L'ensemble de données complet peut être téléchargé ici : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fdbc4949-8839-4572-8bd6-2c15cde3843d">Télécharger Microdonnées </a></b> <h3>Sources de données et méthodologie</h3> Consultez le <a href="https://localdatahub-pp.oecd.org/?indicator=MAIN_WORLDCOVER&topic=environment" >Local Data Portal</a> pour plus d'informations. <h3>Plus d'informations</h3> Pour toute question ou commentaire, veuillez écrire à <a href="mailto: RegionStat@oecd.org">RegionStat@oecd.org</a> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=AIR_TEMP2M,TIME_PERIOD=2030+2040+2050+2060,PROJ_SCENARIO=PROJ_SSP245,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Air temperature, hot days, tropical nights and icing days - Regions Température de l'air, jours chauds, nuits tropicales et jours de gel - Régions <p style="text-align: justify;">This dataset provides indicators on air temperature, hot days, tropical nights, and icing days, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Air temperature indicators correspond to the annual average air temperature at a height of 2 meters. Hot days refer to the number of days when the maximum temperature exceeds 35&deg;C. Tropical nights refer to days when the minimum temperature is above 20&deg;C, and icing days refer to the number of days when the maximum temperature is below 0&deg;C. The data is based on <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land reanalysis</a> dataset.</p> <p style="text-align: justify;">ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale.</p> <p style="text-align: justify;">These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis‑based top‑down modelling versus in‑situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur la température de l’air, les journées chaudes, les nuits tropicales et les jours de gel, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p style="text-align: justify;"><strong>Définition des données et source</strong><br />Les indicateurs de température de l’air correspondent à la température moyenne annuelle mesurée à 2 mètres de hauteur. Les journées chaudes désignent le nombre de jours où la température maximale dépasse 35 °C. Les nuits tropicales correspondent aux jours où la température minimale reste au-dessus de 20 °C. Les jours de gel sont ceux où la température maximale est inférieure à 0 °C. Les données proviennent du jeu de données de réanalyse <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land</a>.</p> <p style="text-align: justify;"><strong>Définition des régions</strong><br />Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE comportent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, consultez la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p style="text-align: justify;"><strong>À citer</strong><br />Base de données OCDE sur les régions, les villes et les zones locales <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p style="text-align: justify;"><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de données locales de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p style="text-align: justify;">Pour toute question ou tout commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8 DEFAULT Climate hazard statistics - Regions (for 'Developer API') Statistiques sur le changement climatique - Regions <p style="text-align: justify;">This dataset provides the whole set of <strong>OECD regional climate hazard indicators</strong> in large (TL2) and small (TL3) regions. It is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p style="text-align: justify;">This dataset provides data on:</p> <ul> <li style="text-align: justify;">Air temperature, hot days, tropical nights and icing days; Land surface temperature; Heat stress; Cooling and heating degree days&nbsp;</li> <li style="text-align: justify;">Climate projections by scenario, 2030&ndash;2060</li> <li style="text-align: justify;">Greenhouse gas emissions</li> <li style="text-align: justify;">Wildfires; River and coastal flooding; Drought; Precipitation</li> </ul> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit l’ensemble des <strong>indicateurs d’aléas climatiques régionaux de l’OCDE</strong> pour les grandes régions (TL2) et les petites régions (TL3). Il est recommandé aux utilisateurs souhaitant interroger un volume important de données. Il n’est pas conçu pour visualiser les résultats à l’aide des boutons Tableau et Graphique. Pour accéder au « Générateur de requêtes de l’API développeur », cliquez sur le bouton « API développeur » ci-dessus.</p> <p style="text-align: justify;">L’interface de programmation (API), basée sur la norme SDMX, permet à un développeur d’accéder aux données à l’aide d’URL RESTful simples et d’options d’en-tête HTTP, avec différents formats de réponse, y compris JSON. Le filtre de requête est généré selon la sélection de données actuelle. Pour modifier cette sélection, utilisez les filtres situés à gauche.<br /><br />Pour commencer, consultez la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation de l’API</a>.</p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p style="text-align: justify;">Ce jeu de données fournit des informations sur :</p> <ul> <li style="text-align: justify;">Température de l’air, journées chaudes, nuits tropicales et jours de gel ; Température de surface terrestre ; Stress thermique ; Degrés-jours de chauffage et de refroidissement</li> <li style="text-align: justify;">Projections climatiques par scénario, 2030–2060</li> <li style="text-align: justify;">Émissions de gaz à effet de serre</li> <li style="text-align: justify;">Feux de forêt ; Inondations fluviales et côtières ; Sécheresse ; Précipitations</li> </ul> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE comportent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour en savoir plus, consultez la grille territoriale de l’OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et le tableau de correspondance territoriale de l’OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>À citer</strong></p> <p>Base de données OCDE sur les régions, les villes et les zones locales&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de données locales de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED TIME_PERIOD=2020+2030+2040+2050+2060,MEASURE=AIR_TEMP2M_PROJ,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Climate projections by scenario, 2030–2060 - Regions Projections climatiques pour la période 2030-2060 - Régions <p>This dataset provides sub-national indicators on 2030-2060 projections by scenario on air temperature, hot days, icing days, tropical nights, total precipitation and extreme precipitation days in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Hot days</strong> refer to days during which the maximum temperature is higher than 35&deg;C).</li> <li><strong>Tropical nights</strong> refer to nights during which the minimum temperature is higher than 20&deg;C.</li> <li><strong>Icing days</strong> are defined as days during which the maximum temperature is lower than 0&deg;C.</li> <li><strong>Total precipitation&nbsp;</strong>in millimetres refers to the accumulated liquid and frozen water per year that falls to the Earth's surface.</li> <li><strong>Extreme precipitation</strong> days are defined as days during which the total precipitation is higher than 20 mm.</li> </ul> <p>Projections are based on NASA NEX-GDDP CMIP6 data, which provides average air temperature projections at a 0.25&deg; spatial resolution for different scenarios - Shared Socioeconomic Pathways (SSPs).</p> <p>SSPs are climate scenarios up to 2100 that model how socio‑economic factors may change over the next century. These scenarios are combined with Representative Concentration Pathways (RCPs), which outline different greenhouse gas (GHG) concentration levels and their radiative forcings. Radiative forcing quantifies how factors like GHGs, aerosols and solar changes affect Earth&rsquo;s atmospheric energy balance. This dataset highlights four scenarios (see the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e25873-2fdc5c3ec1">methodology</a>):</p> <ul> <li><strong>SSP1-2.6</strong>: Sustainability. 2.6 watts per square metre (W/m2) radiative forcing, 1.8&deg;C warming by 2100.</li> <li><strong>SSP2-4.5</strong>: Middle-of-the-road. 4.5 W/m2 radiative forcing, 2.7&deg;C warming by 2100.</li> <li><strong>SSP3-7.0</strong>: Regional rivalry. 7.0 W/m2 radiative forcing, 3.6&deg;C warming by 2100.</li> <li><strong>SSP5-8.5</strong>: Fossil fuel development. 8.5 W/m2 radiative forcing, 4.4&deg;C warming by 2100.</li> </ul> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des indicateurs sur les projections 2030–2060 concernant la température de l’air et les jours de chaleur, pour les grandes (TL2) et petites régions (TL3).</p> <p><strong>Définitions et sources des données</strong></p> <p>Les projections sont basées sur les données NASA NEX-GDDP CMIP6, avec une résolution spatiale de 0,25°, couvrant plusieurs scénarios appelés « Shared Socioeconomic Pathways » (SSP), combinés à des trajectoires d’émissions (RCP). Quatre scénarios sont présentés (<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e25873-2fdc5c3ec1">méthodologie</a>) :</p> <ul> <li><strong>SSP1-2.6</strong> : Durabilité (2,6 W/m², +1,8°C d'ici 2100)</li> <li><strong>SSP2-4.5</strong> : Tendance actuelle (4,5 W/m², +2,7°C)</li> <li><strong>SSP3-7.0</strong> : Rivalité régionale (7,0 W/m², +3,6°C)</li> <li><strong>SSP5-8.5</strong> : Développement fossile (8,5 W/m², +4,4°C)</li> </ul> <p><strong>Indicateurs climatiques</strong></p> <ul> <li><strong>Jours de chaleur</strong> : max. > 35°C</li> <li><strong>Nuits tropicales</strong> : min. > 20°C</li> <li><strong>Jours de gel</strong> : max. < 0°C</li> <li><strong>Précipitations totales</strong> : mm/an (eau liquide + neige)</li> <li><strong>Jours de précipitations extrêmes</strong> : > 20 mm/jour</li> </ul> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités infranationales. Les pays de l’OCDE sont divisés en deux niveaux : grandes régions (TL2) et petites régions (TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale OCDE (pdf)</a> et la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">table de correspondance (xlsx)</a>.</p> <p><strong>Source à citer</strong></p> <p>Base de données OCDE sur les régions, villes et zones locales&nbsp;: <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Pour en savoir plus</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de données locales OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-villes-2024_f42db3bf-fr.html">Panorama des régions et villes OCDE 2024</a></li> </ul> <p>Pour toute question, veuillez contacter <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=HDD+CDD,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Cooling and heating degree days - Regions Degrés-jours de chauffage et de refroidissement - Régions <p style="text-align: justify;">This dataset provides indicators on Cooling and Heating Degree Days, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li>Cooling Degree Days (CDD) quantify how hot a given period was, indicating the energy demand for cooling buildings. CDD is calculated as the sum of the differences between the daily mean temperature and a reference temperature of 22&deg;C, for all days when the mean temperature exceeds 22&deg;C.</li> <li>Heating Degree Days (HDD) quantify how cold a given period was, reflecting the energy demand for heating buildings. HDD is calculated as the sum of the differences between a reference temperature of 15&deg;C and the daily mean temperature, for all days when the mean temperature falls below 15&deg;C.</li> </ul> <div id="subgroup-hdd" class="flex flex-col gap-2"> <div class="flex items-start gap-2" style="text-align: justify;">Those indicators are based on Copernicus ERA5-Land. ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale.</div> <div class="flex items-start gap-2" style="text-align: justify;"><br />These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.</div> </div> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur les Degrés-Jours de Refroidissement (DJR) et de Chauffage (DJC), pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Définitions des données et source</strong></p> <p>&nbsp;</p> <ul> <li>Les Degrés-Jours de Refroidissement (DJR) mesurent l’intensité de la chaleur sur une période donnée, indiquant la demande énergétique pour le refroidissement des bâtiments. Les DJR sont calculés comme la somme des écarts entre la température moyenne quotidienne et une température de référence de 22&nbsp;°C, pour tous les jours où la température moyenne dépasse 22&nbsp;°C.</li> <li>Les Degrés-Jours de Chauffage (DJC) mesurent l’intensité du froid sur une période donnée, reflétant la demande énergétique pour le chauffage des bâtiments. Les DJC sont calculés comme la somme des écarts entre une température de référence de 15&nbsp;°C et la température moyenne quotidienne, pour tous les jours où la température moyenne est inférieure à 15&nbsp;°C.</li> </ul> <div id="subgroup-hdd" class="flex flex-col gap-2"> <div class="flex items-start gap-2">&nbsp;</div> <div class="flex flex-col gap-4"> <div class="flex flex-col gap-4"> <div class="text-gray-500 px-6">Ces indicateurs sont basés sur Copernicus ERA5-Land.</div> </div> </div> </div> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées sous les frontières nationales. Les pays de l’OCDE disposent de deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d'informations, consultez la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la Table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE sur les régions, villes et zones locales&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de données locales de l’OCDE</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=CROP_MOIST_ANOM,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Drought - Regions Sécheresse - Régions <p style="text-align: justify;">This dataset provides indicators on droughts in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>Drought intensity is estimated in terms of soil moisture anomaly compared to the reference period 1981-2010. Soil moisture refers to the volume of water in the top soil layer (0 to 7 cm). This dataset provides annual soil moisture estimates in percentage points, along with changes in soil moisture. The data is based on <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land reanalysis</a> dataset.</p> <p style="text-align: justify;">ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p style="text-align: justify;">These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur la sécheresse du sol dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <p>L'intensité de la sécheresse est ici estimée en termes d'anomalie de l'humidité du sol par rapport à la période de référence 1981-2010. L'humidité du sol fait référence au volume d'eau dans la couche supérieure du sol (0 à 7 cm). Ce jeu de données fournit des estimations annuelles de l'humidité du sol en points de pourcentage, ainsi que des changements dans l'humidité du sol. L'humidité du sol est estimée en utilisant la base de données ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=FIRE,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Wildfires - Regions Feux de forêts - Régions <p style="text-align: justify;">This dataset provides indicators on exposure to wildfires in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Exposure to wildfire is derived from the European Commission Joint Research Centre (JRC) Global wildfire dataset for the analysis of fire regimes and fire behaviours.See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19157">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques régionales sur l'exposition aux incendies de forêt, dans les régions de grande taille (TL2) et de petite taille (TL3).</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les indicateurs d'exposition aux incendies de forêt sont dérivés du jeu de données mondial sur les incendies de forêt du JRC pour l'analyse des régimes d'incendie et des comportements d'incendie. Voir la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19157">méthodologie</a>.</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=RF_AREA_EXP,CF_AREA_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée River and coastal flooding - Regions Inondations côtières et fluviales - Regions <p style="text-align: justify;">This dataset provides indicators on exposure to coastal and river flooding, in large (TL2) and small (TL3) regions.&nbsp;</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Exposure to flooding indicators are based on the extent of flood events of different return periods (10 to 100 years). A return period corresponds to the estimated time interval between floods of similar intensity. River flooding indicators are estimated using the River Flood Hazard Maps at European and Global Scales, see the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19190">methodology</a>. Coastal flooding indicators are estimated using the Global coastal flood hazard maps <a>(Muis, S. et al., 2016)</a>. This dataset provides the extent of coastal floods for different return periods (10 to 100 years) with a 1-kilometre resolution. Built-up area exposure to coastal floods is computed by intersecting this map with Copernius annual land cover data (Copernicus Climate Change Service, Climate Data Store, 2019) and population exposure is computed using the Global Human Settlement Population layer (European Commission, GHSL Data Package 2023).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques infranationales sur l'exposition aux inondations côtières et fluviales, dans les régions TL2 et TL3.&nbsp;</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les indicateurs d'exposition aux inondations sont basés sur l'ampleur des événements d'inondation de différents intervalles de retour (10 à 100 ans). Un intervalle de retour correspond à l'intervalle de temps estimé entre les inondations de similarité d'intensité. Les indicateurs d'inondation fluviale sont estimés à l'aide des cartes de risque d'inondation fluviale à l'échelle européenne et mondiale, voir la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19190">méthodologie</a>. Les indicateurs d'inondation côtière sont estimés à l'aide des cartes mondiales de risque d'inondation côtière <a>(Muis, S. et al., 2016)</a>. Ce jeu de données fournit l'étendue des inondations côtières pour différents intervalles de retour (10 à 100 ans) avec une résolution d'1 kilomètre. L'exposition des zones urbanisées aux inondations côtières est calculée en croisant cette carte avec les données annuelles de couverture terrestre Copernicus (Copernicus Climate Change Service, Climate Data Store, 2019) et l'exposition de la population est calculée en utilisant la couche de population des établissements humains mondiaux (Commission européenne, Ensemble de données GHSL 2023).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=GHG_REG_TOTAL,REF_AREA=AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+BE1+BE2+BE3 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Greenhouse gas emissions - Regions Émissions de gaz à effet de serre - Régions <p style="text-align: justify;">This dataset provides indicators on greenhouse gas emissions (GHG) in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>GHG are estimated by sector of origin at the subnational level using the Emissions Database for Global Atmospheric Research (EDGAR) <a>(Joint Research Centre)</a>. See the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e25901-2fdc5c3ec1">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des indicateurs sur les &eacute;missions de gaz &agrave; effet de serre (GES) dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">Les GES sont estim&eacute;s par secteur d&rsquo;origine au niveau infranational &agrave; partir de la base de donn&eacute;es EDGAR (Emissions Database for Global Atmospheric Research) du <a>Centre commun de recherche (JRC)</a>. Voir la <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e25901-2fdc5c3ec1">m&eacute;thodologie</a>.</p> <p style="text-align: justify;"><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE disposent de deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Pour plus d&rsquo;informations, consultez la grille territoriale de l&rsquo;OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et le tableau de correspondance territorial de l&rsquo;OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p style="text-align: justify;"><strong>&Agrave; citer</strong></p> <p style="text-align: justify;">Base de donn&eacute;es OCDE sur les r&eacute;gions, les villes et les zones locales <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p style="text-align: justify;"><strong>Informations compl&eacute;mentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de donn&eacute;es locales de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des r&eacute;gions et des villes de l&rsquo;OCDE</a></li> </ul> <p style="text-align: justify;">Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=UTCI_POP_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Heat stress - Regions Exposition au stress thermique - Régions <p style="text-align: justify;">This dataset provides indicators on population exposure to heat stress in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>Heat stress is estimated using the Universal Thermal Comfort Index (UTCI). The UTCI enables to assess the impact of atmospheric conditions on the human body by considering air temperature, wind, radiation and humidity. UTCI values from 32&deg;C to 38&deg;C are considered as strong heat stress, from 38&deg;C to 46&deg;C as very strong heat stress, and above 46&deg;C as extreme heat stress. Population exposure to heat stress was computed using the hourly thermal comfort indices grids from the Copernicus Climate Data Store. See the <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19204">methodology</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur l'exposition de la population au stress thermique, dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">Le stress thermique est estim&eacute; &agrave; l&rsquo;aide de l&rsquo;Indice Universel de Confort Thermique (UTCI). L&rsquo;UTCI permet d&rsquo;&eacute;valuer l&rsquo;impact des conditions atmosph&eacute;riques sur le corps humain en tenant compte de la temp&eacute;rature de l&rsquo;air, du vent, du rayonnement et de l&rsquo;humidit&eacute;. Les valeurs d&rsquo;UTCI comprises entre 32 &deg;C et 38 &deg;C correspondent &agrave; un stress thermique fort, entre 38 &deg;C et 46 &deg;C &agrave; un stress thermique tr&egrave;s fort, et au-del&agrave; de 46 &deg;C &agrave; un stress thermique extr&ecirc;me. L&rsquo;exposition de la population au stress thermique a &eacute;t&eacute; calcul&eacute;e &agrave; partir des grilles horaires des indices de confort thermique issues du Copernicus Climate Data Store. Voir la <a href="https://www.oecd-ilibrary.org/sites/14108660-en/1/4/3/index.html?itemId=/content/publication/14108660-en&amp;_csp_=355ee23bb469df35bc8b9adb40cbfd3d&amp;itemIGO=oecd&amp;itemContentType=book#section-d1e19204">m&eacute;thodologie</a>.</p> <p style="text-align: justify;"><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE disposent de deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l&rsquo;OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans le tableau de correspondance territorial de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p style="text-align: justify;"><strong>&Agrave; citer</strong></p> <p style="text-align: justify;">Base de donn&eacute;es OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p style="text-align: justify;"><strong>Informations compl&eacute;mentaires</strong></p> <ul> <li>L&rsquo;outil web interactif <a href="https://localdataportal.oecd.org/">Portail de donn&eacute;es locales de l&rsquo;OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des r&eacute;gions et des villes de l&rsquo;OCDE</a></li> </ul> <p style="text-align: justify;">Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=DAY_LAND_TEMP_YEARLY,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Land surface temperature - Regions Température à la surface du sol <p style="text-align: justify;">This dataset provides indicators on land surface temperature in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Land surface temperature refers to the average temperature of the land surface within a local area, excluding water bodies. Data are available for both daytime and nighttime, as well as annually and by season (summer and winter). These temperatures are derived from MODIS Aqua and Terra satellite observations, which offer high-frequency measurements at a spatial resolution of 1 km.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des indicateurs sur la temp&eacute;rature de surface terrestre dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>D&eacute;finition des donn&eacute;es</strong></p> <p style="text-align: justify;">La temp&eacute;rature de surface terrestre correspond &agrave; la temp&eacute;rature moyenne de la surface des terres dans une zone locale, &agrave; l&rsquo;exclusion des plans d&rsquo;eau. Les donn&eacute;es sont disponibles de jour comme de nuit, ainsi qu&rsquo;en moyenne annuelle et par saison (&eacute;t&eacute; et hiver). Ces temp&eacute;ratures sont d&eacute;riv&eacute;es des observations satellitaires MODIS Aqua et Terra, qui fournissent des mesures &agrave; haute fr&eacute;quence avec une r&eacute;solution spatiale de 1 km.</p> <p style="text-align: justify;"><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE comportent deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Pour plus d&rsquo;informations, consultez la grille territoriale de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territorial de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p style="text-align: justify;"><strong>&Agrave; citer</strong></p> <p style="text-align: justify;">Base de donn&eacute;es OCDE sur les r&eacute;gions, les villes et les zones locales <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p style="text-align: justify;"><strong>Informations compl&eacute;mentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de donn&eacute;es locales de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des r&eacute;gions et des villes de l&rsquo;OCDE</a></li> </ul> <p style="text-align: justify;">Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,CL_PROJ_SCENARIO=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=EXT_PRECIP_DAYS_DIFF_1981_2010,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Precipitation - Regions Précipitations - Régions <p style="text-align: justify;">This dataset provides indicators on total precipitation and the number of extreme precipitation days, in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>Precipitation is the sum of all liquid and frozen water - such as rain and snow - that reaches the Earth's surface each year. It excludes fog, dew and any precipitation that evaporates before reaching the ground. Extreme precipitation days are defined as days with more than 20 mm of total precipitation. Changes in precipitation and extreme precipitation days are referenced to the 1981-2010 baseline average. The estimates rely on the <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR">ERA5-Land reanalysis</a> dataset.</p> <p style="text-align: justify;">ERA5-Land is used as it provides harmonised, globally consistent coverage at fine spatial resolution (0.1 degree), enabling the production of comparable subnational indicators also where national meteorological data are not available at the required scale. </p> <p style="text-align: justify;">These estimates may differ from official subnational climate statistics due to differences in methodological approaches, such as the use of reanalysis based top down modelling versus in situ observations, along with variations in input data sources, spatial resolution, and the models and algorithms used to generate temperature estimates.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques infranationales sur les précipitations (en millimètres) et les jours de précipitations extrèmes dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <p>L'intensité de la sécheresse est ici estimée en termes d'anomalie de l'humidité du sol par rapport à la période de référence 1981-2010. L'humidité du sol fait référence au volume d'eau dans la couche supérieure du sol (0 à 7 cm). Ce jeu de données fournit des estimations annuelles de l'humidité du sol en points de pourcentage, ainsi que des changements dans l'humidité du sol. L'humidité du sol est estimée en utilisant la base de données ERA5-Land Monthly Aggregated - ECMWF Climate Reanalysis.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+DEPEND_RATIO,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Deaths by 5-year age groups - Regions Décès par tranche d'âge de 5 ans - Régions <p>This dataset provides indicators on deaths and mortality rates, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Deaths by 5-year age group</strong> are reported according to the last place of residence of the deceased person.</li> <li><strong>Crude death rate</strong> is the number of deaths per 1 000 population.</li> <li><strong>Age-adjusted mortality rates</strong> eliminate the difference in mortality rates due to a population&rsquo;s age profile and are comparable across countries and regions. Age-adjusted mortality rates are calculd by applying the age-specific death rates of one region to the age distribution of a standard population. Here, the standard population is represented by the OECD area population in 2010, and the adjusted mortality rate is based on deaths in five-year age groups.</li> </ul> <p>Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p>When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur les d&eacute;c&egrave;s et les taux de mortalit&eacute;, dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <ul> <li>Les<strong> d&eacute;c&egrave;s par tranche d'&acirc;ge quinquennale</strong> sont rapport&eacute;s en fonction du dernier lieu de r&eacute;sidence de la personne d&eacute;c&eacute;d&eacute;e.</li> <li>Le <strong>taux brut de mortalit&eacute;</strong> est le nombre de d&eacute;c&egrave;s pour 1 000 habitants.</li> <li style="text-align: justify;">Les<strong> taux de mortalit&eacute; ajust&eacute;s</strong> selon l'&acirc;ge sont calcul&eacute;s en appliquant les taux de mortalit&eacute; d'une population standard, ici repr&eacute;sent&eacute;e par la population de la zone de l'OCDE en 2010.</li> </ul> <p>Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">L'OCDE classifie les r&eacute;gions (unit&eacute;s subnationales) &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+DEPEND_RATIO,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Demography statistics - Regions (for 'Developer API') Statistiques démographiques - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides the full set of regional demographic indicators for large (TL2) and small (TL3) regions, including population and deaths counts by 5-year and aggregrated age groups, dependency rates, mortality and fertility rates, and measures of population mobility within and across countries.</p> <p style="text-align: justify;">This dataset is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above. See the <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>.</p> <p style="text-align: justify;"><strong>Data definition and sources</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and T&uuml;rkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. Data are collected from Eurostat (reg_dem) for EU countries and from the delegates of the OECD Working Party on Territorial Indicators (WPTI) for OECD non-EU countries. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The list and maps of regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit l&rsquo;ensemble des indicateurs d&eacute;mographiques r&eacute;gionaux pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3), notamment les effectifs de population et les d&eacute;c&egrave;s par groupe d&rsquo;&acirc;ge quinquennal et groupes d&rsquo;&acirc;ge agr&eacute;g&eacute;s, les taux de d&eacute;pendance, les taux de mortalit&eacute; et de f&eacute;condit&eacute;, ainsi que des mesures de la mobilit&eacute; de la population au sein des pays et entre pays.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es est recommand&eacute; aux utilisateurs souhaitant interroger un volume important de donn&eacute;es. Il n&rsquo;est pas con&ccedil;u pour visualiser les r&eacute;sultats &agrave; l&rsquo;aide des boutons &laquo; Tableau &raquo; et &laquo; Graphique &raquo;. Pour acc&eacute;der au &laquo; g&eacute;n&eacute;rateur de requ&ecirc;tes API d&eacute;veloppeur &raquo;, cliquez sur le bouton &laquo; API d&eacute;veloppeur &raquo; ci-dessus. Voir la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API</a>.</p> <p style="text-align: justify;"><strong>D&eacute;finition des donn&eacute;es et sources</strong></p> <p style="text-align: justify;">Les donn&eacute;es de population se r&eacute;f&egrave;rent &agrave; la population r&eacute;sidente habituelle au 1er janvier pour les pays de l&rsquo;UE, l&rsquo;Islande, Isra&euml;l, la Norv&egrave;ge, la Suisse et la T&uuml;rkiye. Elles correspondent &agrave; des estimations de population &agrave; mi-ann&eacute;e pour l&rsquo;Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Cor&eacute;e, le Mexique, la Nouvelle-Z&eacute;lande, le Royaume-Uni et les &Eacute;tats-Unis, et au 1er octobre pour le Japon. Les donn&eacute;es sont recueillies aupr&egrave;s d&rsquo;Eurostat pour les pays de l&rsquo;UE et aupr&egrave;s des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l&rsquo;OCDE sur les indicateurs territoriaux (WPTI) pour les pays de l&rsquo;OCDE hors UE. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de donn&eacute;es r&eacute;gionales</a>.</p> <p><strong>R&eacute;gions et niveaux territoriaux</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous le niveau national. Les pays de l&rsquo;OCDE disposent de deux niveaux de r&eacute;gion : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). La liste et les cartes des r&eacute;gions figurent dans la grille territoriale de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans le tableau de correspondance territoriale de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es des R&eacute;gions, Villes et Aires locales de l&rsquo;OCDE : <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED UNIT_MEASURE=PS_KM2,TERRITORIAL_LEVEL=CTRY+TL2+TL3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population density - Regions Densité de population - Régions <p>This dataset provides indicators on population density and land areas, in large (TL2) regions and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population density per land area excludes inland water bodies. This indicator measures the number of people residing in small TL3 and large TL2 regions per square kilometers. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des données régionales sur la densité de population et les superficies, pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Définition des données et source</strong></p> <p style=""text-align: justify;"">La densité de population par superficie exclut les étendues d'eau intérieures. Cet indicateur mesure le nombre de personnes résidant dans les petites régions TL3 et les grandes régions TL2 par kilomètre carré. Les données sur la population et les superficies sont collectées auprès d'Eurostat (reg_dem) pour les pays de l'UE, et complétées par des données recueillies par les délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des instituts nationaux de statistique.</p> <p><strong>Définition des régions</strong></p> <p style=""text-align: justify;"">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href=""https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf"">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href=""&quot;https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx"">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des données sur les petites régions (TL3)</strong></p> <p style=""text-align: justify;"">Lorsque les données démographiques sont analysées en conjonction avec des données économiques au niveau TL3, il est conseillé d'agrégater les données au niveau de la région métropolitaine lorsque plusieurs régions TL3 sont associées à la même région métropolitaine. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href=""&quot;https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx"">(xlsx)</a> et la méthodologie de l'UE <a href=""https://ec.europa.eu/eurostat/web/metropolitan-regions/background"">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p style=""text-align: justify;"">Les petites régions (TL3) sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés au niveau national selon la typologie territoriale d'accès de la population aux aires urbaines fonctionnelles (<a href=""https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0"">lien</a>) et selon la typologie urbaine-rurale (<a href=""https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0"">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href=""http://oe.cd/geostats"">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href=""https://regions-cities-atlas.oecd.org/"">Atlas statistique des régions et villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href=""https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html"">Panorama des Régions et Villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href=""mailto:RegionStat@oecd.org"">RegionStat@oecd.org</a></p>" NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED TERRITORIAL_LEVEL=CTRY+2+3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Dependency rates - Regions Taux de dépendance - Régions <p>This dataset provides indicators on dependency rates, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">The dependency ratio is a demographic indicator that measures the ratio of dependents (typically defined as those too young or too old to work) to the working-age population. The most common age ranges used for the working-age population are 20-64 and 15-64. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des donn&eacute;es r&eacute;gionales sur les taux de d&eacute;pendance, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p>Le ratio de d&eacute;pendance est un indicateur d&eacute;mographique qui mesure le rapport entre les personnes d&eacute;pendantes (g&eacute;n&eacute;ralement d&eacute;finies comme celles trop jeunes ou trop &acirc;g&eacute;es pour travailler) et la population en &acirc;ge de travailler. Les tranches d'&acirc;ge les plus couramment utilis&eacute;es pour la population en &acirc;ge de travailler sont de 20 &agrave; 64 ans et de 15 &agrave; 64 ans. Les donn&eacute;es de population sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p>Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques en utilisant le niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions (TL3) sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales. Consultez les indicateurs d&eacute;mographiques agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s de la population aux aires urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des R&eacute;gions et Villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true MEASURE,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN AGE,SEX,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Fertility - Regions Fécondité - Régions <p>This dataset provides indicators on births and fertility, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <ul> <li style="text-align: justify;">Fertility rates: the total fertility rate in a specific year is defined as the total number of children that would be born to each woman if she were to live to the end of her child-bearing years and give birth to children in alignment with the prevailing age-specific fertility rates. It is calculated by totalling the age-specific fertility rates as defined over five-year intervals for women aged 15 to 49.</li> <li>Live births are registered at the usual place fo residence of the mother. Crude live birth rate is expressed for 1000 population.</li> <li>Child-to-woman ratio&nbsp;is the number of children aged 0 to 4 in over women aged 15 to 49.</li> </ul> <p>Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p>When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur les naissances et la f&eacute;condit&eacute;, dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <ul> <li style="text-align: justify;"><strong>Taux de f&eacute;condit&eacute;</strong> : le taux de f&eacute;condit&eacute; total au cours d'une ann&eacute;e sp&eacute;cifique est d&eacute;fini comme le nombre total d'enfants qui na&icirc;traient &agrave; chaque femme si elle devait vivre jusqu'&agrave; la fin de ses ann&eacute;es de procr&eacute;ation et donner naissance &agrave; des enfants conform&eacute;ment aux taux de f&eacute;condit&eacute; sp&eacute;cifiques &agrave; chaque tranche d'&acirc;ge pr&eacute;valents. Il est calcul&eacute; en totalisant les taux de f&eacute;condit&eacute; sp&eacute;cifiques &agrave; chaque tranche d'&acirc;ge d&eacute;finis sur des intervalles de cinq ans pour les femmes &acirc;g&eacute;es de 15 &agrave; 49 ans.</li> <li><strong>Les naissances vivantes</strong> sont enregistr&eacute;es au lieu de r&eacute;sidence habituel de la m&egrave;re. Le taux brut de natalit&eacute; est exprim&eacute; pour 1000 habitants.</li> <li><strong>Le ratio enfant-femme</strong> est le nombre d'enfants de 0 &agrave; 4 ans par rapport aux femmes de 15 &agrave; 49 ans.</li> </ul> <p>Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED TERRITORIAL_LEVEL=CTRY+2+3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Life expectancy - Regions Espérance de vie - Régions <p>This dataset provides indicators on on life expectancy at birth, in large regions (TL2) and small regions (TL3) when available.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Life expectancy at birth is defined as how long, on average, a newborn can expect to live, if current death rates do not change. However, the actual age-specific death rate of any particular birth cohort cannot be known in advance. If rates fall (or rise), actual life expectancy will be higher (or lower) than the life expectancy calculated on the basis of current mortality rates. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des donn&eacute;es r&eacute;gionales sur l'esp&eacute;rance de vie &agrave; la naissance, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3) lorsque disponibles.</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">L'esp&eacute;rance de vie &agrave; la naissance est d&eacute;finie comme la dur&eacute;e moyenne qu'un nouveau-n&eacute; peut s'attendre &agrave; vivre, si les taux de mortalit&eacute; actuels ne changent pas. Cependant, le taux de mortalit&eacute; sp&eacute;cifique &agrave; chaque cohorte de naissance ne peut pas &ecirc;tre connu &agrave; l'avance. Si les taux baissent (ou augmentent), l'esp&eacute;rance de vie r&eacute;elle sera plus &eacute;lev&eacute;e (ou plus basse) que l'esp&eacute;rance de vie calcul&eacute;e sur la base des taux de mortalit&eacute; actuels. Les donn&eacute;es sur l'esp&eacute;rance de vie sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les grandes r&eacute;gions (TL2) des pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Typologies territoriales</strong></p> <p style=""text-align: justify;"">Les petites régions (TL3) sont catégorisées en fonction de caractéristiques communes en typologies régionales. Consultez les indicateurs démographiques agrégés au niveau national selon la typologie territoriale d'accès de la population aux aires urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des R&eacute;gions et Villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED TERRITORIAL_LEVEL=CTRY+TL2+TL3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8++AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée International migration flows - Regions Flux de migration internationale - Régions <p style="text-align: justify;">This dataset provides indicators on annual international population migration flows to and from sub-national regions, in large regions (TL2) and small regions (TL3).</p> <p style="text-align: justify;"><strong>Data source</strong></p> <p style="text-align: justify;">Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Cet ensemble de donn&eacute;es fournit des statistiques sur les migrations internationales de la population, en provenance ou &agrave; destination des grandes r&eacute;gions (TL2) et des petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es par l'interm&eacute;diaire des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et compl&eacute;t&eacute;es &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s de la population aux aires urbaines fonctionnelles <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=INMOB+OUTMOB+NETMOB,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population mobility within the country - Regions Mobilité de la population à l'intérieur du pays - Régions <p style="text-align: justify;">This dataset provides indicators on mobility of population within the same country, – from or to – large regions (TL2) and small regions (TL3).</p> <p style="text-align: justify;"><strong>Data source</strong></p> <p style="text-align: justify;">Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des statistiques r&eacute;gionales sur la mobilit&eacute; de la population &agrave; l'int&eacute;rieur du m&ecirc;me pays, depuis ou vers des r&eacute;gions subnationales, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es par l'interm&eacute;diaire des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et compl&eacute;t&eacute;es &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+DEPEND_RATIO,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population by 5-year age groups - Regions Population par tranche d'âge de 5 ans - Régions <p style="text-align: justify;">This dataset provides regional population indicators by sex and 5-year age groups, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and T&uuml;rkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des d&eacute;nombrements de la population par sexe et par tranches d'&acirc;ge quinquennales, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et sources</strong></p> <p style="text-align: justify;">Les donn&eacute;es de population se rapportent &agrave; la population r&eacute;sidente habituelle au 1er janvier pour les pays de l'UE, l'Islande, Isra&euml;l, la Norv&egrave;ge, la Suisse et la Turquie. Les estimations de la population &agrave; mi-ann&eacute;e pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Cor&eacute;e, le Mexique, la Nouvelle-Z&eacute;lande, le Royaume-Uni et les &Eacute;tats-Unis. Au 1er octobre pour le Japon. Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et aupr&egrave;s des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) pour les pays de l'OCDE hors UE.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true MEASURE,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP,TERRITORIAL_LEVEL=CTRY+TL2+TL3,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Population by broad age groups - Regions Population par grands groupes d'âge - Régions <p style="text-align: justify;">This dataset provides population indicators by broad age groups (0-14,15-64, 65 and older),&nbsp;in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and T&uuml;rkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(link)</a>.&nbsp;</p><p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des donn&eacute;es r&eacute;gionales sur le nombre de la population par groupes d'&acirc;ge larges (0-14, 15-64, 65 ans et plus), pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">Les donn&eacute;es de population se rapportent &agrave; la population r&eacute;sidente habituelle au 1er janvier, sauf&nbsp;pour l'Australie, le Canada, le Chili, la Colombie, le Costa Rica, la Cor&eacute;e, le Mexique, la Nouvelle-Z&eacute;lande, le Royaume-Uni et les &Eacute;tats-Unis (mi-ann&eacute;e), et le Japon (1er octobre). Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es dans les fronti&egrave;res nationales. L'OCDE classifie les r&eacute;gions &agrave; deux niveaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque les donn&eacute;es d&eacute;mographiques sont analys&eacute;es conjointement avec des donn&eacute;es &eacute;conomiques au niveau TL3, il est conseill&eacute; d'agr&eacute;g&eacute;rer les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Voir la liste des r&eacute;gions m&eacute;tropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la m&eacute;thodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Typologies territoriales</strong></p> <p>Les petites r&eacute;gions TL3 sont cat&eacute;goris&eacute;es en fonction de caract&eacute;ristiques communes en typologies r&eacute;gionales, avec des indicateurs agr&eacute;g&eacute;s au niveau national selon la typologie territoriale d'acc&egrave;s aux Villes <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a> et selon la typologie urbaine-rurale <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&amp;df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">(lien)</a>.&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et villes de l'OCDE</a></li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> NonProductionDataflow true REF_AREA,TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP+SURF,UNIT_MEASURE=PT_POP+PT_AR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Demographic indicators by territorial typology Indicateurs démographique par typologie territoriale <p>This dataset provides indicators on demography by territorial typology. The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries.</p> <p><strong>Data source and definition</strong></p> <p>The primary data are collected from Eurostat (reg_demo) for EU countries, and supplemented by data collected through delegates of the OECD Working Party on Territorial Indicators (WPTI) and from the websites of national statistical offices.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on access to functional urban areas</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p>The OECD territorial typology on access to functional urban areas uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Maps of For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>This dataset provides demographic indicators aggregated at country level by regional typology.</p> <p style="text-align: justify;">The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries.&nbsp;Data are collected from Eurostat (reg_dem) for EU countries, and supplemented by data collected through delegates of the OECD Working Party on Territorial Indicators (WPTI) and from the websites of national statistical offices.</p> <p><strong>Regional typologies</strong></p> <p>Regional typologies help to assess differences in socio-economic trends in regions, both within and across countries. The OECD categorizes small (TL3) regions into two different typologies:</p> <ul> <li style="text-align: justify;"><strong>The OECD Access to Cities typology</strong> uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions into metropolitan and non-metropolitan regions (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) according to the following criteria:<br /> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> </li> </ul> <p style="padding-left: 40px;">For the sake of simplicity, these can be grouped into three groups: <em>Metropolitan regions</em>, <em>Near a midsize/large FUA</em>, and <em>Far from a midsize/large FUA</em>.</p> <ul> <li><strong>The OECD typology based on urban-rural population</strong>: traditionally the OECD has classified small regions as <em>predominantly urban</em>, <em>intermediate</em>, or <em>predominantly rural regions</em>, which can be further broken down as <em>Close to city</em> and <em>Remote</em>. See the methodology <a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and maps in&nbsp;the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Ci NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP,UNIT_MEASURE=PT_POP DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Demographic indicators by access to city typology Indicateurs démographiques par typologie d'accès à la ville <p>This data set provides indicators on demography by territorial typology according to the population's access to cities.</p> <p><strong>Data source and definition</strong></p> <p>The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on population's access to cities</strong></p> <p style="text-align: justify;">Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions (<a>Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a>(xlsx)</a>. Maps of For more information, see the OECD Territorial grid <a>(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a>http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li><a>OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a>OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a>RegionStat@oecd.org</a></p> <p>Ce jeu de donn&eacute;es fournit des indicateurs d&eacute;mographiques agr&eacute;g&eacute;s au niveau national et d&eacute;taill&eacute;s par typologie territoriale selon l'acc&egrave;s à la ville.</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es d&eacute;mographiques par typologie comprennent la part de la population, les taux de d&eacute;pendance, les taux de f&eacute;condit&eacute; et de mortalit&eacute;, la mobilit&eacute; de la population &agrave; l'int&eacute;rieur et &agrave; l'ext&eacute;rieur des pays.&nbsp;Les donn&eacute;es des petites r&eacute;gions TL3 sont agr&eacute;g&eacute;es au niveau national selon la typologie d'acc&egrave;s de la population aux aires urbaines fonctionnelles</p> <p><strong>Typologie territoriale selon l'acc&egrave;s de la population aux aires urbaines fonctionnelles</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.</p> <p>La typologie territoriale de l'OCDE sur l'acc&egrave;s aux zones urbaines fonctionnelles utilise le concept de aires urbaines fonctionnelles et classe les petites r&eacute;gions (TL3) (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) selon les crit&egrave;res suivants :</p> <ul> <li>R&eacute;gions m&eacute;tropolitaines, si plus de la moiti&eacute; de la population vit dans une FUA. Les r&eacute;gions m&eacute;tropolitaines sont ensuite class&eacute;es en : <em><strong>m&eacute;tropolitaines de grande taille</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA d'au moins 1,5 million d'habitants ; et <em><strong>m&eacute;tropolitaines de taille moyenne</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA de 250 000 &agrave; 1,5 million d'habitants.</li> <li>R&eacute;gions non m&eacute;tropolitaines: <em><strong>pr&egrave;s d'une FUA de taille moyenne/grande</strong></em> si plus de la moiti&eacute; de la population vit &agrave; moins de 60 minutes en voiture d'une FUA de plus de 250 000 habitants ou si la r&eacute;gion TL3 contient plus de 80% de la superficie d'une FUA de taille moyenne/grande ; <em><strong>pr&egrave;s d'une petite FUA</strong></em> si la r&eacute;gion n'a pas acc&egrave;s &agrave; une FUA de taille moyenne/grande et que plus de la moiti&eacute; de sa population a acc&egrave;s &agrave; une FUA entre 50 000 et 250 000 habitants &agrave; moins de 60 minutes en voiture, ou si elle contient 80% de la superficie d'une petite FUA ; et <em><strong>&eacute;loign&eacute;es</strong></em>, sinon.</li> </ul> <p>La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></li> </ul> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED SEX=_T,AGE=_T,MEASURE=POP,UNIT_MEASURE=PT_POP DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Demographic indicators by urban-rural typology Indicateurs démographiques par typologie urbain-rurale <p>This dataset provides indicators on demogrpahy by regional urban-rural typology.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The data by typology includes share of population, dependency rates, fertility and mortality rates, population mobility within and outside countries. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions.</p> <p style="text-align: justify;"><strong> Territorial typology based on urban-rural population</strong></p> <p style="text-align: justify;">Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.</p> <p style="text-align: justify;">List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Maps of For more information, see the OECD Territorial grid&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Cite this dataset</strong></p> <p style="text-align: justify;">OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Further information</strong></p> <ul style="text-align: justify;"> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des indicateurs d&eacute;mographiques agr&eacute;g&eacute;s au niveau national et d&eacute;taill&eacute;s par typologie territoriale urbaine-rurale.</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es par typologie comprennent la part de la population, les taux de d&eacute;pendance, les taux de f&eacute;condit&eacute; et de mortalit&eacute;, la mobilit&eacute; de la population &agrave; l'int&eacute;rieur et &agrave; l'ext&eacute;rieur des pays. Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_dem) pour les pays de l'UE et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des instituts nationaux de statistique.</p> <p style="text-align: justify;">Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es au sein d'un pays en fonction de la typologie des petites r&eacute;gions (TL3) pour calculer un total ou une moyenne pour l'ensemble des r&eacute;gions principalement rurales, des r&eacute;gions interm&eacute;diaires ou des r&eacute;gions principalement urbaines.</p> <p style="text-align: justify;"><strong>Typologie territoriale bas&eacute;e sur la population urbaine-rurale</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.</p> <p style="text-align: justify;">Traditionnellement, l'OCDE a class&eacute; les petites r&eacute;gions (TL3) comme des r&eacute;gions principalement urbaines, interm&eacute;diaires ou principalement rurales. Les r&eacute;gions principalement rurales peuvent &ecirc;tre subdivis&eacute;es en 'Proches de la ville' et '&Eacute;loign&eacute;es', voir la m&eacute;thodologie <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. Cette typologie reste d'int&eacute;r&ecirc;t pour les utilisateurs, bien que la typologie territoriale selon l'Accès a la Ville soit d&eacute;sormais pr&eacute;f&eacute;r&eacute;e par les analystes territoriaux de l'OCDE.</p> <p style="text-align: justify;">La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Citer ce jeu de donn&eacute;es</strong></p> <p style="text-align: justify;">Bases de donn&eacute;es sur les r&eacute;gions et les villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Informations suppl&eacute;mentaires</strong></p> <ul style="text-align: justify;"> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l'OCDE</a></li> </ul> <p style="text-align: justify;">Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS+USD_PPP,PRICE=Q,'REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_REF_AREA:Zone géographique combinée Economic statistics - Regions (for 'Developer API') Statistiques économiques - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides regional economic accounts indicators for large (TL2) and small (TL3) regions, including gross domestic product (GDP) and GDP per capita; gross value added, employment and labour productivity by main economic activity; and income measures.</p> <p style="text-align: justify;">This dataset is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.&nbsp;To get started&nbsp;see the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>.</p> <p><strong>Data source and definition</strong></p> <p>Regional economic accounts&nbsp;data are collected from Eurostat for EU countries and from the OECD Working Party on Territorial Indicators (WPTI) delegates or national statistical offices for other countries. To ensure comparability across time and countries, current-price data are converted into constant prices and PPPs.&nbsp; National deflators are used in this dataflow, constant prices measures based on regional deflators are available in the ROPI dataflows. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>&nbsp;</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des indicateurs des comptes &eacute;conomiques r&eacute;gionaux pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3), notamment le produit int&eacute;rieur brut (PIB) et le PIB par habitant ; la valeur ajout&eacute;e brute, l&rsquo;emploi et la productivit&eacute; du travail par grande activit&eacute; &eacute;conomique ; ainsi que des mesures de revenu.</p> <p style="text-align: justify;">Il est recommand&eacute; aux utilisateurs qui souhaitent interroger un volume important de donn&eacute;es. Il n&rsquo;est pas con&ccedil;u pour visualiser les r&eacute;sultats &agrave; l&rsquo;aide des boutons &laquo; Tableau &raquo; et &laquo; Graphique &raquo;. Pour acc&eacute;der au &laquo; G&eacute;n&eacute;rateur de requ&ecirc;tes API &raquo;, cliquez sur le bouton &laquo; API d&eacute;veloppeur &raquo; ci-dessus. Voir la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation API</a>.</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es des comptes &eacute;conomiques r&eacute;gionaux proviennent d&rsquo;Eurostat pour les pays de l&rsquo;UE et des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l&rsquo;OCDE sur les indicateurs territoriaux (WPTI) ou des instituts nationaux de statistique pour les autres pays. Afin d&rsquo;assurer la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es en prix courants sont converties en prix constants et en PPA. Des d&eacute;flateurs nationaux sont utilis&eacute;s dans ce jeu de donn&eacute;es ; des mesures en prix constants fond&eacute;es sur des d&eacute;flateurs r&eacute;gionaux sont disponibles dans les flux de donn&eacute;es ROPI. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de donn&eacute;es r&eacute;gionales</a>.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous le niveau national. Les pays de l&rsquo;OCDE disposent de deux niveaux de r&eacute;gion : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques pour les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions TL3 sont regroup&eacute;es en typologies fond&eacute;es sur des caract&eacute;ristiques communes. Pour l&rsquo;analyse &eacute;conomique, les r&eacute;gions TL3 appartenant &agrave; la m&ecirc;me aire urbaine fonctionnelle (AUF) de plus de 250&nbsp;000 habitants sont agr&eacute;g&eacute;es en une seule r&eacute;gion m&eacute;tropolitaine afin de r&eacute;duire les distorsions li&eacute;es aux d&eacute;placements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es des R&eacute;gions, Villes et Aires Locales de l&rsquo;OCDE&nbsp;: <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> </ul> <p>Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS+USD_PPP,PRICE=Q,'REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_REF_AREA:Zone géographique combinée Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API') Statistiques économiques corrigées de l'inflation avec déflateurs régionaux, ROPI - Régions (pour 'Developer API') <p style="text-align: justify;">This dataset provides indicators on real GDP, GVA and labour productivity measures in large regions (TL2) and small regions (TL3).&nbsp;Real values are deflation-adjusted using Regional Producer Price Index (ROPI), where available.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur le produit int&eacute;rieur brut (PIB) r&eacute;el et le PIB r&eacute;el par habitant pour les grandes r&eacute;gions infranationales (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es en fonction de l'inflation en utilisant l'Indice des Prix &agrave; la Production R&eacute;gionale (ROPI), lorsque disponible.</p> <p>&nbsp;<strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es sur le produit int&eacute;rieur brut r&eacute;gional sont collect&eacute;es aux prix courants, en millions de monnaie nationale, &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'UE et via les d&eacute;l&eacute;gations du Groupe de Travail sur les Indicateurs Territoriaux (WPTI) de l'OCDE, ainsi que depuis les sites web des offices statistiques nationaux.</p> <p style="text-align: justify;">Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es aux prix courants sont transform&eacute;es en prix constants et en parit&eacute;s de pouvoir d'achat. Le PIB r&eacute;gional par habitant est calcul&eacute; en divisant le PIB r&eacute;gional par la population annuelle moyenne de la r&eacute;gion.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous les fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions</strong></p> <p style="text-align: justify;">Lorsque des analyses &eacute;conomiques sont men&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;ger les donn&eacute;es au niveau des r&eacute;gions m&eacute;tropolitaines lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; une m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines combinent les r&eacute;gions TL3 lorsque 50 % ou plus de la population r&eacute;gionale vit dans une zone urbaine fonctionnelle de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail. Correspondance entre TL3 et les r&eacute;gions m&eacute;tropolitaines : <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Les petites r&eacute;gions (TL3) sont class&eacute;es en fonction de caract&eacute;ristiques communes dans des typologies r&eacute;gionales. Voir les indicateurs &eacute;conomiques agr&eacute;g&eacute;s par typologie territoriale au niveau national sur l'acc&egrave;s &agrave; la typologie des villes (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>) et par typologie urbain-rural (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">lien</a>).&nbsp;</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es des R&eacute;gions et Villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cit NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=EMP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Employment by main economic activity - Regions Emploi selon l'activité économique - Régions <p>This dataset provides indicators on employment by 10 broad activities and labour utilisation, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Employment data is collected from Eurostat for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. Employment is measured at place of work. Labour utilisation is measured by the number of employment at place of work per capita, for total activity. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p>TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des indicateurs sur l&rsquo;emploi par 10 grands secteurs d&rsquo;activit&eacute; et sur l&rsquo;utilisation de la main-d&rsquo;&oelig;uvre, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es sur l&rsquo;emploi proviennent d&rsquo;Eurostat pour les pays de l&rsquo;UE et des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l&rsquo;OCDE sur les indicateurs territoriaux (WPTI), ainsi que des sites web des instituts nationaux de statistique. L&rsquo;emploi est mesur&eacute; sur le lieu de travail. L&rsquo;utilisation de la main-d&rsquo;&oelig;uvre est mesur&eacute;e par le nombre d&rsquo;emplois sur le lieu de travail par habitant, pour l&rsquo;ensemble des activit&eacute;s. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de donn&eacute;es r&eacute;gionales</a>.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous le niveau national. Les pays de l&rsquo;OCDE disposent de deux niveaux de r&eacute;gion : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques pour les petites r&eacute;gions</strong></p> <p>Les r&eacute;gions TL3 sont regroup&eacute;es en typologies fond&eacute;es sur des caract&eacute;ristiques communes. Pour l&rsquo;analyse &eacute;conomique, les r&eacute;gions TL3 appartenant &agrave; la m&ecirc;me aire urbaine fonctionnelle (AUF) de plus de 250&nbsp;000 habitants sont agr&eacute;g&eacute;es en une seule r&eacute;gion m&eacute;tropolitaine afin de r&eacute;duire les distorsions li&eacute;es aux d&eacute;placements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es des R&eacute;gions, Villes et Aires locales de l&rsquo;OCDE : <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Gross domestic product - Regions Produit intérieur brut - Régions <p>This dataset provides indicators on gross domestic product (GDP) and GDP per capita, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p>Regional GDP data are collected from Eurostat for EU countries and from the OECD Working Party on Territorial Indicators (WPTI) delegates or national statistical offices for other countries. To ensure comparability across time and countries, current-price data are converted into constant prices and PPPs. Regional GDP per capita is obtained by dividing regional GDP by the region&rsquo;s average annual population. National deflators are used in this dataflow, constant prices measures based on regional deflators are available in the ROPI dataflows. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>&nbsp;</p> <p>Ce jeu de donn&eacute;es fournit des indicateurs sur le produit int&eacute;rieur brut (PIB) et le PIB par habitant pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es de PIB r&eacute;gional proviennent d&rsquo;Eurostat pour les pays de l&rsquo;UE et des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l&rsquo;OCDE sur les indicateurs territoriaux (WPTI) ou des instituts nationaux de statistique pour les autres pays. Afin d&rsquo;assurer la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es en prix courants sont converties en prix constants et en PPA. Des d&eacute;flateurs nationaux sont utilis&eacute;s dans ce flux ; le PIB en prix constants fond&eacute; sur des d&eacute;flateurs r&eacute;gionaux est disponible dans les flux de donn&eacute;es ROPI. Le PIB r&eacute;gional par habitant est obtenu en divisant le PIB r&eacute;gional par la population moyenne annuelle de la r&eacute;gion. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de donn&eacute;es r&eacute;gionales</a>.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous le niveau national. Les pays de l&rsquo;OCDE disposent de deux niveaux de r&eacute;gion : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques pour les petites r&eacute;gions</strong></p> <p>Les r&eacute;gions TL3 sont regroup&eacute;es en typologies fond&eacute;es sur des caract&eacute;ristiques communes. Pour l&rsquo;analyse &eacute;conomique, les r&eacute;gions TL3 appartenant &agrave; la m&ecirc;me aire urbaine fonctionnelle (AUF) de plus de 250 000 habitants sont agr&eacute;g&eacute;es en une seule r&eacute;gion m&eacute;tropolitaine afin de r&eacute;duire les distorsions li&eacute;es aux d&eacute;placements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es des R&eacute;gions, Villes et Aires locales de l&rsquo;OCDE : <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real gross domestic product (ROPI-adjusted for inflation) - Regions Produit intérieur brut réel (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides indicators on real gross domestic product (GDP) and real GDP per capita for subnational large regions (TL2) and small regions (TL3). Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p>&nbsp;</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">To allow comparability over time and between countries, data at current prices are transformed into constant prices and purchasing power parity measures. Regional GDP per capita is calculated by dividing regional GDP by the average annual population of the region.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur le produit int&eacute;rieur brut (PIB) r&eacute;el et le PIB par habitant r&eacute;el pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur le produit int&eacute;rieur brut r&eacute;gional sont collect&eacute;es &agrave; des niveaux, &agrave; des prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>). Le PIB par habitant r&eacute;gional est calcul&eacute; en divisant le PIB r&eacute;gional par la population annuelle moyenne de la r&eacute;gion.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GVA,UNIT_MEASURE=USD_PPP,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Gross value added by main economic activity - Regions Valeur ajoutée par activité économique - Régions <p>This dataset provides indicators on gross value added by broad 10 activities, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p>Regional gross value added data are collected from Eurostat for EU countries and from the OECD Working Party on Territorial Indicators (WPTI) delegates or national statistical offices for other countries. To ensure comparability across time and countries, current-price data are converted into constant prices and PPPs. National deflators are used in this dataflow, constant prices measures based on regional deflators are available in the ROPI dataflows. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des indicateurs de valeur ajoutée brute pour 10 grands secteurs d’activité, dans les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Source des données et définition</strong></p> <p>Les données de valeur ajoutée brute régionale proviennent d’Eurostat pour les pays de l’UE et des délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI) ou des instituts nationaux de statistique pour les autres pays. Afin d’assurer la comparabilité dans le temps et entre les pays, les données en prix courants sont converties en prix constants et en PPA. Des déflateurs nationaux sont utilisés dans ce flux ; les données en prix constants fondées sur des déflateurs régionaux sont disponibles dans les flux de données ROPI. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de données régionales</a>.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités infranationales situées sous le niveau national. Les pays de l’OCDE disposent de deux niveaux de région : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l’OCDE</a>.</p> <p><strong>Utilisation des données économiques pour les petites régions</strong></p> <p>Les régions TL3 sont regroupées en typologies fondées sur des caractéristiques communes. Pour l’analyse économique, les régions TL3 appartenant à la même aire urbaine fonctionnelle (AUF) de plus de 250 000 habitants sont agrégées en une seule région métropolitaine afin de réduire les distorsions liées aux déplacements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l’OCDE</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données des Régions, Villes et Aires locales de l’OCDE : <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des Régions et des Villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des Régions et des Villes de l’OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GVA,UNIT_MEASURE=USD_PPP,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions Valeur ajoutée brute réelle par activité économique principale (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides indicators on real gross value added by broad 10 activities for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross value added data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur la valeur ajout&eacute;e brute r&eacute;elle par 10 grandes activit&eacute;s pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur la valeur ajout&eacute;e brute r&eacute;gionale sont collect&eacute;es &agrave; prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=B6N,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Income - Regions Revenu - Régions <p>This dataset provides indicators on disposable income and primary income, in large regions (TL2) and small regions (TL3) when available.&nbsp;</p> <p><strong>Data source and definition</strong></p> <p>Income here is measured from the macro perspective produced by the regional accounts. Income data is collected from Eurostat for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, income in current prices are transformed into constant prices and PPP measures. For the income series, the deflator retained is the national 'implicit national price index of households final consumption expenditure', which is the deflator used in SNA for the transaction P31S14. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>&nbsp;</p> <p>Ce jeu de données fournit des indicateurs sur le revenu disponible et le revenu primaire, pour les grandes régions (TL2) et, lorsque disponibles, les petites régions (TL3).</p> <p><strong>Source des données et définition</strong></p> <p>Le revenu est ici mesuré selon l’approche macroéconomique issue des comptes régionaux. Les données sur le revenu proviennent d’Eurostat pour les pays de l’UE, des délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI) ainsi que des sites web des instituts nationaux de statistique. Afin d’assurer la comparabilité dans le temps et entre les pays, les revenus en prix courants sont convertis en prix constants et en PPA. Pour les séries de revenu, le déflateur retenu est l’« indice implicite national des prix de la dépense finale de consommation des ménages », qui est le déflateur utilisé dans le SCN pour la transaction P31S14. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de données régionales</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées sous le niveau national. Les pays de l’OCDE disposent de deux niveaux de région : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l’OCDE</a>.</p> <p><strong>Utilisation des données économiques pour les petites régions</strong></p> <p style="text-align: justify;">Les régions TL3 sont regroupées en typologies fondées sur des caractéristiques communes. Pour l’analyse économique, les régions TL3 appartenant à la même aire urbaine fonctionnelle (AUF) de plus de 250&nbsp;000 habitants sont agrégées en une seule région métropolitaine afin de réduire les distorsions liées aux déplacements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l’OCDE</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données des Régions, Villes et Aires locales de l’OCDE&nbsp;: <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des Régions et des Villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des Régions et des Villes de l’OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=LAB_PROD,UNIT_MEASURE=USD_PPP_WR,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Labour productivity by main economic activity - Regions Productivité du travail par activité économique - Régions <p>This dataset provides indicators on labour productivity, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are collected from Eurostat for EU countries and from the OECD Working Party on Territorial Indicators (WPTI) delegates or national statistical offices for other countries. To ensure comparability across time and countries, current-price data are converted into constant prices and PPPs. National deflators are used in this dataflow, constant prices measures based on regional deflators are available in the ROPI dataflows. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p>TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>&nbsp;</p> <p>Ce jeu de donn&eacute;es fournit des indicateurs de productivit&eacute; du travail dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p>La productivit&eacute; du travail est mesur&eacute;e comme la valeur ajout&eacute;e brute par emploi sur le lieu de travail, par grande activit&eacute; &eacute;conomique. Les donn&eacute;es r&eacute;gionales de valeur ajout&eacute;e brute et d&rsquo;emploi proviennent d&rsquo;Eurostat pour les pays de l&rsquo;UE, et des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l&rsquo;OCDE sur les indicateurs territoriaux (WPTI) ou des instituts nationaux de statistique pour les autres pays. Afin d&rsquo;assurer la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es en prix courants sont converties en prix constants et en PPA. Les d&eacute;flateurs nationaux sont utilis&eacute;s dans ce flux ; la productivit&eacute; en prix constants bas&eacute;e sur des d&eacute;flateurs r&eacute;gionaux est disponible dans les flux de donn&eacute;es ROPI. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de donn&eacute;es r&eacute;gionales</a>.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous le niveau national. Les pays de l&rsquo;OCDE disposent de deux niveaux de r&eacute;gion : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques pour les petites r&eacute;gions</strong></p> <p>Les r&eacute;gions TL3 sont regroup&eacute;es en typologies fond&eacute;es sur des caract&eacute;ristiques communes. Pour l&rsquo;analyse &eacute;conomique, les r&eacute;gions TL3 appartenant &agrave; la m&ecirc;me aire urbaine fonctionnelle (AUF) de plus de 250 000 habitants sont agr&eacute;g&eacute;es en une seule r&eacute;gion m&eacute;tropolitaine afin de r&eacute;duire les distorsions li&eacute;es aux d&eacute;placements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l&rsquo;OCDE</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es des R&eacute;gions, Villes et Aires locales de l&rsquo;OCDE : <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des R&eacute;gions et des Villes de l&rsquo;OCDE</a></li> </ul> <p>Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=LAB_PROD,UNIT_MEASURE=USD_PPP_WR,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions Productivité réelle du travail par activité économique principale (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides indicators on labour productivity for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur la productivit&eacute; du travail, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>La productivit&eacute; du travail est mesur&eacute;e comme la valeur ajout&eacute;e brute par emploi sur le lieu de travail par grande activit&eacute; &eacute;conomique. Les donn&eacute;es r&eacute;gionales sur la valeur ajout&eacute;e brute et l'emploi sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,UNIT_MEASURE=XDC,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=X,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée International trade - Regions Commerce international - Régions <p style="text-align: justify;">This dataset provides indicators on international trade in goods, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional international trade in goods data is collected via the delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, trade data in current prices are transformed into constant prices and PPP measures and expressed a share of the regional gross domestic product. See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3).&nbsp;See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a>.</p> <p><strong>Use of economic data on small regions</strong></p> <p>TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur le commerce international de biens pour les grandes régions (TL2) et les petites régions (TL3).</p> <p><strong>Source des données et définition</strong></p> <p style="text-align: justify;">Les données régionales sur le commerce international de biens sont recueillies auprès des délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites web des instituts nationaux de statistique. Afin d’assurer la comparabilité dans le temps et entre les pays, les données commerciales en prix courants sont converties en prix constants et en PPA, puis exprimées en part du produit intérieur brut régional. Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">sources de données régionales</a>.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités infranationales situées sous le niveau national. Les pays de l’OCDE disposent de deux niveaux de région : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l’OCDE</a>.</p> <p><strong>Utilisation des données économiques pour les petites régions</strong></p> <p>Les régions TL3 sont regroupées en typologies fondées sur des caractéristiques communes. Pour l’analyse économique, les régions TL3 appartenant à la même aire urbaine fonctionnelle (AUF) de plus de 250&nbsp;000 habitants sont agrégées en une seule région métropolitaine afin de réduire les distorsions liées aux déplacements domicile-travail. Voir le <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">tableau de correspondance territoriale de l’OCDE</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données des Régions, Villes et Aires locales de l’OCDE : <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Pour aller plus loin</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des Régions et des Villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/fr/publications/panorama-des-regions-et-des-villes-de-l-ocde-2024_f42db3bf-fr.html">Panorama des Régions et des Villes de l’OCDE</a></li> </ul> <p>Pour toute question ou tout commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUT+BEL+CHE+CHL+COL+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HUN+IRL+ITA+JPN+KOR+LTU+LUX+LVA+NLD+NOR+NZL+POL+PRT+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic indicators by access to city typology Indicateurs économiques par typologie d'accès à la ville <p>This dataset provides economic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The indicators include GDP, GDP per capita, gross value added, employment at place of work and labour productivity by type of territory. Data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p>The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.</p> <p><strong> Territorial typology on the population's access to cities</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p>The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) &ndash; composed of urban centres and their commuting areas &ndash; and classifies small (TL3) regions (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) according to the following criteria:</p> <ul> <li>Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: <em><strong>metropolitan large</strong></em>, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and <em><strong>metropolitan midsize</strong></em>, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.</li> <li>Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: <em><strong>near a midsize/large FUA</strong></em> if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; <em><strong>near a small FUA</strong></em> if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and <em><strong>remote</strong></em>, otherwise.</li> </ul> <p>List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Maps of For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Cet ensemble de donn&eacute;es fournit des indicateurs &eacute;conomiques par typologie territoriale selon l'acc&egrave;s à la ville. Les indicateurs comprennent le PIB, le PIB par habitant, la valeur ajout&eacute;e brute, l'emploi sur le lieu de travail et la productivit&eacute; du travail.</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es collect&eacute;es par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des offices statistiques nationaux. Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es bas&eacute;es sur la typologie des petites r&eacute;gions (TL3) pour calculer un total ou une moyenne par type de territoire.</p> <p><strong>Typologie territoriale selon l'acc&egrave;s aux aires urbaines fonctionnelles</strong></p> <p>La typologie territoriale de l'OCDE sur l'acc&egrave;s aux villes utilise le concept des aires urbaines fonctionnelles (FUA) et classe les petites r&eacute;gions (TL3) en r&eacute;gions m&eacute;tropolitaines et non m&eacute;tropolitaines (<a href="https://doi.org/10.1787/b902cc00-en">Fadic et al., 2019</a>) selon les crit&egrave;res suivants :</p> <ul> <li>R&eacute;gions m&eacute;tropolitaines, si plus de la moiti&eacute; de la population vit dans une FUA. Les r&eacute;gions m&eacute;tropolitaines sont ensuite class&eacute;es en : <em><strong>m&eacute;tropolitaines grandes</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA d'au moins 1,5 million d'habitants ; et <em><strong>m&eacute;tropolitaines de taille moyenne</strong></em>, si plus de la moiti&eacute; de la population vit dans une FUA de 250 000 &agrave; 1,5 million d'habitants.</li> <li>R&eacute;gions non m&eacute;tropolitaines class&eacute;es en fonction de leur niveau d'acc&egrave;s aux FUA de diff&eacute;rentes tailles : <em><strong>proches d'une FUA de taille moyenne/grande</strong></em> si plus de la moiti&eacute; de la population vit dans un rayon de 60 minutes d'une ZUF de taille moyenne/grande (de plus de 250 000 habitants) ou si la r&eacute;gion TL3 contient plus de 80% de la superficie d'une FUA de taille moyenne/grande ; <em><strong>proches d'une FUA de petite taille&nbsp;</strong></em>si la r&eacute;gion n'a pas acc&egrave;s &agrave; une FUA de taille moyenne/grande et que au moins la moiti&eacute; de sa population a acc&egrave;s &agrave; une FUA de petite taille (c'est-&agrave;-dire entre 50 000 et 250 000 habitants) dans un rayon de 60 minutes, ou contient 80% de la superficie d'une FUA de petite taille ; et <em><strong>&eacute;loign&eacute;es</strong></em>, sinon.</li> </ul> <p>Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans le table de correspondance territoriale de l'OCDE <a href="&quot;https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer cet ensemble de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true TERRITORIAL_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,TERRITORIAL_LEVEL,MEASURE,ACTIVITY,UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUT+BEL+CHE+CHL+COL+CZE+DEU+DNK+ESP+EST+FIN+FRA+GBR+GRC+HUN+IRL+ITA+JPN+KOR+LTU+LUX+LVA+NLD+NOR+NZL+POL+PRT+SVK+SVN+SWE+TUR+USA DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_TERRITORIAL_TYPE:TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_TERRITORIAL_TYPE:Territorial typology;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_TERRITORIAL_TYPE:Typologie territoriale;COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic indicators by urban-rural territorial typology Indicateurs économiques par typologie urbaine-rurale <p>This dataset provides economic indicators aggregated at national level and broken down by urban-rural territorial typology.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The indicators include GDP, GDP per capita, gross value added, employment at place of work and labour productivity by type of territory. Data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions.</p> <p style="text-align: justify;"><strong> Territorial typology based on urban-rural population</strong></p> <p>Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.&nbsp;</p> <p style="text-align: justify;">Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.</p> <p style="text-align: justify;">List of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Maps of For more information, see the OECD Territorial grid&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Cite this dataset</strong></p> <p style="text-align: justify;">OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Further information</strong></p> <ul style="text-align: justify;"> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Cet ensemble de donn&eacute;es fournit des indicateurs &eacute;conomiques selon la typologie territoriale rurale/urbaine. Les indicateurs comprennent le PIB, le PIB par habitant, la valeur ajout&eacute;e brute, l'emploi sur le lieu de travail et la productivit&eacute; du travail par type de territoire.</p> <p style="text-align: justify;"><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p style="text-align: justify;">Les donn&eacute;es sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'UE, et compl&eacute;t&eacute;es par des donn&eacute;es collect&eacute;es par les d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et &agrave; partir des sites Web des offices statistiques nationaux.</p> <p style="text-align: justify;">Les indicateurs sont des donn&eacute;es agr&eacute;g&eacute;es au niveau d'un pays, bas&eacute;es sur la typologie des petites r&eacute;gions (TL3), afin de calculer un total ou une moyenne pour toutes les r&eacute;gions principalement rurales, les r&eacute;gions interm&eacute;diaires ou les r&eacute;gions principalement urbaines au sein d'un pays.</p> <p style="text-align: justify;"><strong>Typologie territoriale bas&eacute;e sur la population urbaine-rurale</strong></p> <p>Les typologies territoriales aident &agrave; &eacute;valuer les diff&eacute;rences dans les tendances socio-&eacute;conomiques dans les r&eacute;gions, &agrave; la fois au sein et entre les pays, et &agrave; mettre en &eacute;vidence les probl&egrave;mes sp&eacute;cifiques rencontr&eacute;s par chaque type de r&eacute;gion.&nbsp;</p> <p style="text-align: justify;">Traditionnellement, l'OCDE a class&eacute; les petites r&eacute;gions (TL3) en r&eacute;gions principalement urbaines, interm&eacute;diaires ou principalement rurales. Les r&eacute;gions principalement rurales peuvent &ecirc;tre d&eacute;compos&eacute;es davantage en 'Proches de la ville' et '&Eacute;loign&eacute;es', voir la m&eacute;thodologie <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>. Cette typologie reste d'int&eacute;r&ecirc;t pour les utilisateurs, bien que la typologie territoriale selon l'Accès a la Ville soit maintenant pr&eacute;f&eacute;r&eacute;e par les analystes de l'OCDE.</p> <p style="text-align: justify;">La liste des r&eacute;gions de l'OCDE et les typologies sont pr&eacute;sent&eacute;es dans le tableau de correspondance territoriale de l'OCDE <a href="&quot;https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. Les cartes des r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p style="text-align: justify;"><strong>Citer cet ensemble de donn&eacute;es</strong></p> <p style="text-align: justify;">Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p style="text-align: justify;"><strong>Informations suppl&eacute;mentaires</strong></p> <ul style="text-align: justify;"> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Les r&eacute;gions et les villes de l'OCDE en un coup d'&oelig;il</a></li> </ul> <p style="text-align: justify;">Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS+USD_PPP,PRICE=Q,'REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_REF_AREA:Zone géographique combinée Economic statistics ROPI-adjusted for inflation - Regions (for 'Developer API') Statistiques économiques corrigées de l'inflation avec déflateurs régionaux, ROPI - Régions (pour 'Developer API') <p style="text-align: justify;">This dataset provides indicators on real GDP, GVA and labour productivity measures in large regions (TL2) and small regions (TL3).&nbsp;Real values are deflation-adjusted using Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p>Regional economic accounts data are collected from the OECD Working Party on Territorial Indicators (WPTI) delegates and from Eurostat for EU countries or national statistical offices for other countries. To ensure comparability across time and countries, current-price data are converted into constant prices and PPPs using Regional Producer Price Index (ROPI) in this dataflow.</p> <p>See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Regional data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting.</p> <p style="text-align: justify;">See the&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid</a> and the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des indicateurs sur le PIB r&eacute;el, la VAB (valeur ajout&eacute;e brute) et les mesures de productivit&eacute; du travail dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de l&rsquo;inflation &agrave; l&rsquo;aide de l&rsquo;indice des prix &agrave; la production r&eacute;gionale (ROPI), lorsque disponible.</p> <p><strong>Source des donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es des comptes &eacute;conomiques r&eacute;gionaux sont collect&eacute;es aupr&egrave;s des d&eacute;l&eacute;gu&eacute;s du Groupe de travail de l&rsquo;OCDE sur les indicateurs territoriaux (WPTI), ainsi qu&rsquo;aupr&egrave;s d&rsquo;Eurostat pour les pays de l&rsquo;UE ou des offices statistiques nationaux pour les autres pays. Afin de garantir la comparabilit&eacute; dans le temps et entre pays, les donn&eacute;es en prix courants sont converties en prix constants et en PPA en utilisant l&rsquo;indice des prix &agrave; la production r&eacute;gionale (ROPI) dans ce flux de donn&eacute;es.</p> <p>Voir les <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_regional_metadata.xlsx">Sources des donn&eacute;es r&eacute;gionales</a>.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s infranationales situ&eacute;es sous les fronti&egrave;res nationales. Les pays de l&rsquo;OCDE disposent de deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions TL3 sont regroup&eacute;es selon des typologies bas&eacute;es sur des caract&eacute;ristiques communes. Pour les analyses &eacute;conomiques, les r&eacute;gions TL3 appartenant &agrave; la m&ecirc;me aire urbaine fonctionnelle (FUA) comptant plus de 250 000 habitants sont agr&eacute;g&eacute;es en une seule r&eacute;gion m&eacute;tropolitaine afin de r&eacute;duire les distorsions li&eacute;es aux migrations pendulaires.</p> <p style="text-align: justify;">Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">Grille territoriale de l'OCDE</a> et la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">Table de correspondance r&eacute;gionale de l'OCDE</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Base de donn&eacute;es des R&eacute;gions, Villes et Zones locales de l&rsquo;OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">L'Altas statistique OCDE des R&eacute;gions et des Villes</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des r&eacute;gions et des vilmles de l'OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire:<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GDP,UNIT_MEASURE=USD_PPP_PS,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real gross domestic product (ROPI-adjusted for inflation) - Regions Produit intérieur brut réel (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides indicators on real gross domestic product (GDP) and real GDP per capita for subnational large regions (TL2) and small regions (TL3). Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p>&nbsp;</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross domestic product data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;">To allow comparability over time and between countries, data at current prices are transformed into constant prices and purchasing power parity measures. Regional GDP per capita is calculated by dividing regional GDP by the average annual population of the region.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur le produit int&eacute;rieur brut (PIB) r&eacute;el et le PIB par habitant r&eacute;el pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur le produit int&eacute;rieur brut r&eacute;gional sont collect&eacute;es &agrave; des niveaux, &agrave; des prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat (<a href="https://data.oecd.org/conversion/purchasing-power-parities-ppp.htm">lien</a>). Le PIB par habitant r&eacute;gional est calcul&eacute; en divisant le PIB r&eacute;gional par la population annuelle moyenne de la r&eacute;gion.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=GVA,UNIT_MEASURE=USD_PPP,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real gross value added by main economic activity (ROPI-adjusted for inflation) - Regions Valeur ajoutée brute réelle par activité économique principale (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides indicators on real gross value added by broad 10 activities for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Regional gross value added data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur la valeur ajout&eacute;e brute r&eacute;elle par 10 grandes activit&eacute;s pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>Les donn&eacute;es sur la valeur ajout&eacute;e brute r&eacute;gionale sont collect&eacute;es &agrave; prix courants, en millions de monnaie nationale &agrave; partir d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,ACTIVITY LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MEASURE=IX,PRICES=_Z,CURRENCY=_Z,CURRENCY=USD,COUNTRY,REF_YEAR_PRICE=_Z,TERRITORIAL_LEVEL=CTRY,TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=LAB_PROD,UNIT_MEASURE=USD_PPP_WR,PRICES=Q,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,ACTIVITY;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICES,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Real labour productivity by main economic activity (ROPI-adjusted for inflation) - Regions Productivité réelle du travail par activité économique principale (corrigé de l'inflation avec déflateurs régionaux, ROPI) - Régions <p>This dataset provides indicators on labour productivity for large and small regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.</p> <p><strong>Data source and definition</strong></p> <p style="text-align: justify;">Labour productivity is measured as gross value added per employment at place of work by main economic activity. Regional gross value added and employment data are collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of economic data on small regions</strong></p> <p style="text-align: justify;">When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p style="text-align: justify;">Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_METRO&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>) and by urban-rural typology (<a href="https://data-explorer.oecd.org/vis?df[ds]=DisseminateFinal&amp;df[id]=DSD_REG_ECO%40DF_REGION_TYPE_RURB&amp;df[ag]=OECD.CFE.EDS&amp;df[vs]=1.0">link</a>).&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des statistiques sur la productivit&eacute; du travail, pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Les valeurs r&eacute;elles sont ajust&eacute;es de la d&eacute;flation en utilisant l'indice des prix de production r&eacute;gionaux (ROPI) lorsque ces series sont disponibles.</p> <p><strong>Source de donn&eacute;es et d&eacute;finition</strong></p> <p>La productivit&eacute; du travail est mesur&eacute;e comme la valeur ajout&eacute;e brute par emploi sur le lieu de travail par grande activit&eacute; &eacute;conomique. Les donn&eacute;es r&eacute;gionales sur la valeur ajout&eacute;e brute et l'emploi sont collect&eacute;es aupr&egrave;s d'Eurostat (reg_eco10) pour les pays de l'Union europ&eacute;enne, et compl&eacute;t&eacute;es par des donn&eacute;es recueillies par des d&eacute;l&eacute;gu&eacute;s du Groupe de travail sur les indicateurs territoriaux (WPTI) de l'OCDE et sur les sites Web des offices statistiques nationaux.</p> <p>Afin de permettre la comparabilit&eacute; dans le temps et entre les pays, les donn&eacute;es &agrave; prix courants sont transform&eacute;es en prix constants et en mesures de parit&eacute; de pouvoir d'achat.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l'OCDE ont deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Les r&eacute;gions de l'OCDE sont pr&eacute;sent&eacute;es dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Utilisation des donn&eacute;es &eacute;conomiques sur les petites r&eacute;gions (TL3)</strong></p> <p>Lorsque des analyses &eacute;conomiques sont effectu&eacute;es au niveau TL3, il est conseill&eacute; d'agr&eacute;gater les donn&eacute;es au niveau de la r&eacute;gion m&eacute;tropolitaine lorsque plusieurs r&eacute;gions TL3 sont associ&eacute;es &agrave; la m&ecirc;me r&eacute;gion m&eacute;tropolitaine. Les r&eacute;gions m&eacute;tropolitaines regroupent les r&eacute;gions TL3 lorsque 50% ou plus de la population r&eacute;gionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions cr&eacute;&eacute;es par les d&eacute;placements domicile-travail, voir la m&eacute;thodologie de l'UE appliqu&eacute;e aux r&eacute;gions TL3 de l'OCDE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de donn&eacute;es</strong></p> <p>Bases de donn&eacute;es de l'OCDE sur les r&eacute;gions et les villes&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations suppl&eacute;mentaires</strong></p> <ul> <li>L'outil Web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des r&eacute;gions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Regions and Cities at a Glance</a></li> </ul> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Educational attainment - Regions Niveau d'éducation - Régions <p>This dataset provides indicators on educational attainement in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Educational attainment is defined as the highest grade completed within the most advanced level attended in the educational system of the country where the education was received. Educational attainments are internationally standardised through the <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">ISCED 2011</a> classification used to define the levels of education:&nbsp;ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des statistiques sur le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale par la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a> utilisée pour définir les niveaux d'éducation : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,CL_AGGREGATION_OPERATION=MEAN DEFAULT Education statistics - Regions (for 'Developer API') Statistiques sur l'éducation - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides the whole set of OECD regional education indicators in large (TL2) regions. It is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p style="text-align: justify;">This dataset provides indicators on education in regions, it includes population by educational attainment, employment rate by level of education, enrolment rates by age, adult training, NEET and early leavers rates.</p> <p>The list and maps of regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit l'ensemble des données régionales de l'OCDE sur l'éducation et est recommandé pour les utilisateurs souhaitant interroger une grande quantité de données. Il n'est pas conçu pour visualiser les résultats à l'aide des boutons Table et Graphique. Pour accéder au &lsquo;Générateur de requêtes API développeur&rsquo;, cliquez sur le bouton &lsquo;API développeur&rsquo; ci-dessus.</p> <p style="text-align: justify;">L'interface de programmation d'application (API), basée sur la norme SDMX, permet à un développeur d'accéder aux données en utilisant une simple URL RESTful et des options d'en-tête HTTP pour divers formats de réponse, y compris JSON. Le filtre de requête est généré en fonction de la sélection de données actuelle. Pour changer la sélection de données, utilisez les filtres sur la gauche.<br /><br />Pour commencer, consultez la&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation de l'API</a></p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur l'éducation dans les régions, il inclut la population selon le niveau de formation, le taux d'emploi par niveau d'éducation, les taux de scolarisation par âge, la formation des adultes, les taux de NEET et d'abandon précoce.</p> <p>La liste et les cartes des régions sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <p>Les statistiques infranationales peuvent être explorées davantage avec :</p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Pour toute question ou tout commentaire, veuillez écrire à&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Employment by level of education - Regions Emploi par niveau d'éducation - Régions <p>This dataset provides indicators on employment rates by level of education in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Employment rate is measured by the number of persons employed aged 25 to 64 and 25-34 year-olds over the population of the respective age, broken down education level. The education level is defined as the highest grade completed within the most advanced level attended in the educational system of the country where the education was received. Educational attainments are internationally standardised with the <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">ISCED-2011</a> classification: ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).&nbsp;</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des statistiques sur les taux d'emploi selon le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le taux d'emploi est mesuré par le nombre de personnes employées âgées de 25 à 64 ans et de 25 à 34 ans par rapport à la population de chaque tranche d'âge, ventilé par niveau d'éducation. Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale avec la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE-2011</a> : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).&nbsp;</p><p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Students enrolment - Regions Inscription des étudiants - Régions <p>This dataset provides indicators on enrolment rates by age in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Enrolment rates are defined as the share of individuals of each age group enrolled in all types of schools and education institutions, including public, private and all other institutions that provide organised educational programmes according to the <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">ISCED 2011</a> classification, regardless of education level enrolled in (share of individuals enrolled over the population of the same age group). Age groups are defined as 3-5, 6-14, 15-19, 20-29, 30-39 and &gt;40 year-olds.&nbsp;</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des statistiques sur les taux d'inscription par âge dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Les taux d'inscription sont définis comme la proportion d'individus de chaque tranche d'âge inscrits dans tous types d'écoles et d'institutions éducatives, y compris publiques, privées et toutes les autres institutions fournissant des programmes éducatifs organisés selon la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a>, indépendamment du niveau d'éducation suivi (part d'individus inscrits par rapport à la population de la même tranche d'âge). Les tranches d'âge sont définies comme 3-5, 6-14, 15-19, 20-29, 30-39 et >40 ans.</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Youth exclusion from education - Regions Exclusion des jeunes de l'éducation - Régions <p>This dataset provides indicators on the exclusion of young people from education, NEETs and early leavers in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>NEET rate is measure as the rate of young people not in employment and not in any education and training. The rate of early leavers from education and training refers to young people who have finished no more than a lower secondary education and are not involved in further education or training. The NEET and early leavers rates generally refer to persons aged 18 to 24, expressed as a percentage of the total population of the same age.</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des statistiques sur le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale par la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a> utilisée pour définir les niveaux d'éducation : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p><p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,STATISTICAL_OPERATION=MEAN NOT_DISPLAYED CL_AGGREGATION_OPERATION=MEAN,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Adult training - Regions Formation des adultes - Régions <p>This dataset provides indicators on adult training in large regions (TL2).</p> <p><strong>Data definition and source</strong></p> <p>Adult training is measured here as a percentage of the population aged 25-64 participating in formal and/or non-formal education and training under two reference periods: in the past 4 weeks (source: Survey of Adult Skills PIAAC) and the past 12 months (source: Adult Education Survey (AES)).</p> <p>Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des statistiques sur le niveau d'éducation dans de grandes régions (TL2).</p> <p><strong>Définition des données et source</strong></p> <p>Le niveau d'éducation est défini comme le plus haut niveau scolaire atteint dans le système éducatif du pays où l'éducation a été reçue. Les niveaux d'éducation sont normalisés à l'échelle internationale par la classification <a href="http://www.uis.unesco.org/Education/Pages/international-standard-classification-of-education.aspx">CITE 2011</a> utilisée pour définir les niveaux d'éducation : CITE 0-2 (élémentaire), 3-4 (secondaire), 5-8 (tertiaire).</p> <p>Les données sont collectées auprès d'Eurostat (reg_educ) pour les pays de l'UE, et par l'intermédiaire des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et du Groupe de travail de l'OCDE sur les indicateurs du système éducatif (INES).</p> <p><strong>Définition des régions</strong></p></p><p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans la table de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et les villes de l'OCDE</a></li> </ul> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED REF_AREA=REF_AREA=AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+BE1+BE2+BE3 DEFAULT Energy statistics - Regions (for 'Developer API') Statistiques sur l'énergie - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides the whole set of <strong>OECD regional energy indicators</strong> in large (TL2) and small (TL3) regions. It is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p style="text-align: justify;">This dataset provides data on:</p> <ul> <li style="text-align: justify;">Electricity generation by source of energy</li> <li style="text-align: justify;">Final energy consumption by end-use sector and source of energy</li> </ul> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit l&rsquo;ensemble des <strong>indicateurs r&eacute;gionaux de l&rsquo;&eacute;nergie de l&rsquo;OCDE</strong> pour les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3). Il est recommand&eacute; aux utilisateurs souhaitant interroger un grand volume de donn&eacute;es. Ce jeu de donn&eacute;es n&rsquo;est pas con&ccedil;u pour visualiser les r&eacute;sultats &agrave; l&rsquo;aide des boutons Tableau et Graphique. Pour acc&eacute;der au &laquo; G&eacute;n&eacute;rateur de requ&ecirc;tes de l&rsquo;API d&eacute;veloppeur &raquo;, cliquez sur le bouton &laquo; API d&eacute;veloppeur &raquo; ci-dessus.</p> <p style="text-align: justify;">L&rsquo;interface de programmation (API), bas&eacute;e sur la norme SDMX, permet aux d&eacute;veloppeurs d&rsquo;acc&eacute;der aux donn&eacute;es via des URL RESTful simples et des options d&rsquo;en-t&ecirc;te HTTP, avec diff&eacute;rents formats de r&eacute;ponse disponibles, y compris JSON. Le filtre de requ&ecirc;te est g&eacute;n&eacute;r&eacute; en fonction de la s&eacute;lection de donn&eacute;es actuelle. Pour modifier cette s&eacute;lection, utilisez les filtres situ&eacute;s &agrave; gauche.<br /><br />Pour commencer, consultez la <a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">documentation de l&rsquo;API</a>.</p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des informations sur :</p> <ul> <li style="text-align: justify;">La production d&rsquo;&eacute;lectricit&eacute; par source d&rsquo;&eacute;nergie</li> <li style="text-align: justify;">La consommation finale d&rsquo;&eacute;nergie par secteur utilisateur final et par type de combustible</li> </ul> <p style="text-align: justify;"><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE disposent de deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Pour plus d&rsquo;informations, consultez la grille territoriale de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territorial de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p style="text-align: justify;"><strong>&Agrave; citer</strong></p> <p style="text-align: justify;">Base de donn&eacute;es OCDE sur les r&eacute;gions, les villes et les zones locales <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p style="text-align: justify;"><strong>Informations compl&eacute;mentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de donn&eacute;es locales de l&rsquo;OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des r&eacute;gions et des villes de l&rsquo;OCDE</a></li> </ul> <p style="text-align: justify;">Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,CL_END_USE_SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=ENE_CONS_T,REF_AREA=AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+BE1+BE2+BE3 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Final energy consumption - Regions Consommation d'énergie finale - Régions <p style="text-align: justify;">This dataset provides indicators on final energy consumption by end-user sectors and source of energy in large (TL2) regions.</p> <p><strong>Data definition and source</strong></p> <p>The final energy consumption is the total energy used directly by end users for all energy services (e.g. heating, cooling, lighting, transport, and industrial processes). It excludes energy used by the energy sector, including delivery and energy transformation. It is measured in megawatt hours (MWh) and can be broken down by sector (residential, industry, commercial and public services, transport, agriculture and other) and by fuel type (electricity, natural gas, oil, coal, renewables, biofuels and waste, heat and other). See the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#component-d1e13534-5bd726c153">data sources</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de donn&eacute;es fournit des indicateurs sur la consommation finale d&rsquo;&eacute;nergie par secteur utilisateur final et par source d&rsquo;&eacute;nergie, dans les grandes r&eacute;gions (TL2).</p> <p style="text-align: justify;"><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p style="text-align: justify;">La consommation finale d&rsquo;&eacute;nergie correspond &agrave; l&rsquo;&eacute;nergie totale utilis&eacute;e directement par les utilisateurs finaux pour tous les services &eacute;nerg&eacute;tiques (par exemple le chauffage, la climatisation, l&rsquo;&eacute;clairage, le transport ou les processus industriels). Elle exclut l&rsquo;&eacute;nergie consomm&eacute;e par le secteur de l&rsquo;&eacute;nergie lui-m&ecirc;me, notamment pour la livraison et la transformation de l&rsquo;&eacute;nergie. Elle est mesur&eacute;e en m&eacute;gawattheures (MWh) et peut &ecirc;tre ventil&eacute;e par secteur (r&eacute;sidentiel, industrie, services commerciaux et publics, transports, agriculture et autres) ainsi que par type de combustible (&eacute;lectricit&eacute;, gaz naturel, p&eacute;trole, charbon, &eacute;nergies renouvelables, biocarburants et d&eacute;chets, chaleur et autres). Voir les <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#component-d1e13534-5bd726c153">sources de donn&eacute;es</a>.</p> <p style="text-align: justify;"><strong>D&eacute;finition des r&eacute;gions</strong></p> <p style="text-align: justify;">Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE disposent de deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Pour plus d&rsquo;informations, consultez la grille territoriale de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territorial de l&rsquo;OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p style="text-align: justify;"><strong>&Agrave; citer</strong></p> <p style="text-align: justify;">Base de donn&eacute;es OCDE sur les r&eacute;gions, les villes et les zones locales <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p style="text-align: justify;"><strong>Informations compl&eacute;mentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de données locales de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des r&eacute;gions et des villes de l&rsquo;OCDE</a></li> </ul> <p style="text-align: justify;">Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,POLLUTANT_CONCENTRATION=_Z,TERRITORIAL_TYPE=(MR+MR_L+MR_M+NMR_M+NMR_FAR+NMR_S+NMR_R+_Z) NOT_DISPLAYED MEASURE=PROD_ELEC_CARBON_INTENSITY,REF_AREA=AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+BE1+BE2+BE3 DEFAULT MEASURE:MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL,TERRITORIAL_TYPE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS MEASURE:Measure;COMBINED_REF_AREA:Combined reference area;COMBINED_UNIT_MEASURE:Combined unit of measure MEASURE:Mesure;COMBINED_REF_AREA:Zone géographique combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Electricity generation - Regions Production d'électricité - Régions <p style="text-align: justify;">This dataset provides indicators on electricity generation by source of energy in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p>The electricity generation mix is based on both official subnational statistics and on estimates (see the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#component-d1e12963-5bd726c153">data sources</a>). The estimates for areas with missing official data are based on the electricity generation mix at the national level (based on the issued from the International Energy Agency (IEA) database, the location of electricity generation assets using the Global Power Plant Database (GPPD, Global Energy Observatory et al., 2018) and the harmonised global dataset on wind and solar installations (Dunnett et al., 2020). Electricity generation is estimated by matching energy sources across datasets, calculating each power plant's share of national capacity, and distributing the official regional and national generation accordingly across the different subnational areas.</p> <p>The carbon intensity of electricity generation is defined as the amount of CO2 equivalent emissions produced per unit of electricity generated (gCO2eq/kWh). It is obtained by applying emission factors to the different energy sources.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">OECD Local Data Portal</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de donn&eacute;es fournit des indicateurs sur la production d&rsquo;&eacute;lectricit&eacute; par source d&rsquo;&eacute;nergie dans les grandes r&eacute;gions (TL2) et les petites r&eacute;gions (TL3).</p> <p><strong>D&eacute;finition des donn&eacute;es et source</strong></p> <p>Le mix de production d&rsquo;&eacute;lectricit&eacute; est bas&eacute; &agrave; la fois sur des statistiques infranationales officielles et sur des estimations (voir les <a>sources de donn&eacute;es</a>). Les estimations pour les zones ne disposant pas de donn&eacute;es officielles s&rsquo;appuient sur le mix de production d&rsquo;&eacute;lectricit&eacute; au niveau national (issu de la base de donn&eacute;es de l&rsquo;Agence internationale de l&rsquo;&eacute;nergie - AIE), la localisation des installations de production via la base de donn&eacute;es mondiale des centrales &eacute;lectriques (Global Power Plant Database - GPPD, Global Energy Observatory et al., 2018), ainsi que le jeu de donn&eacute;es mondial harmonis&eacute; sur les installations &eacute;oliennes et solaires (Dunnett et al., 2020). La production d&rsquo;&eacute;lectricit&eacute; est estim&eacute;e en associant les sources d&rsquo;&eacute;nergie entre les bases de donn&eacute;es, en calculant la part de chaque centrale dans la capacit&eacute; nationale, et en r&eacute;partissant la production r&eacute;gionale et nationale officielle en cons&eacute;quence dans les diff&eacute;rentes zones infranationales.</p> <p>L&rsquo;intensit&eacute; carbone de la production d&rsquo;&eacute;lectricit&eacute; est d&eacute;finie comme la quantit&eacute; d&rsquo;&eacute;missions de CO₂ &eacute;quivalent produite par unit&eacute; d&rsquo;&eacute;lectricit&eacute; g&eacute;n&eacute;r&eacute;e (gCO₂&eacute;q/kWh). Elle est obtenue en appliquant des facteurs d&rsquo;&eacute;mission aux diff&eacute;rentes sources d&rsquo;&eacute;nergie.</p> <p><strong>D&eacute;finition des r&eacute;gions</strong></p> <p>Les r&eacute;gions sont des unit&eacute;s subnationales situ&eacute;es en dessous des fronti&egrave;res nationales. Les pays de l&rsquo;OCDE disposent de deux niveaux r&eacute;gionaux : les grandes r&eacute;gions (niveau territorial 2 ou TL2) et les petites r&eacute;gions (niveau territorial 3 ou TL3). Pour plus d&rsquo;informations, consultez la grille territoriale de l&rsquo;OCDE <a>(pdf)</a> et le tableau de correspondance territorial de l&rsquo;OCDE <a>(xlsx)</a>.</p> <p><strong>&Agrave; citer</strong></p> <p>Base de donn&eacute;es OCDE sur les r&eacute;gions, les villes et les zones locales <a>http://oe.cd/geostats</a>.</p> <p><strong>Informations compl&eacute;mentaires</strong></p> <ul> <li><a href="https://localdataportal.oecd.org/">Portail de données locales de l’OCDE</a></li> <li><a>Panorama des r&eacute;gions et des villes de l&rsquo;OCDE</a></li> </ul> <p>Pour toute question ou tout commentaire, veuillez &eacute;crire &agrave; <a>RegionStat@oecd.org</a>.</p> <p>"</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED MEASURE=PM25_POP_EXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Exposure to air pollution - Regions Pollution de l'air - Régions <p align="justify">This dataset provides measures of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in large (TL2) and small (TL3) regions. Indicators provide an estimate of the population-weighted average pollutant concentration and the share of the population living in areas where pollutant concentrations exceed World Health Organization guidelines (5 μg/m³ for PM2.5, 15 μg/m³ for PM10, 60 μg/m³ for ozone, and 10 μg/m³ for nitrogen dioxide).</p> <h3>Data sources and methodology</h3> <p align="justify">PM2.5 air pollution indicators are computed using PlumLabs ( “Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data.” Plume Labs by AccuWeather: Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/) gridded data. The available 0.1° by 0.1° resolution grids provide the estimated mean concentration of PM2.5, PM10, ozone and nitrogen dioxide.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/zt">Air pollution - Regions</a>), <a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Cet ensemble de données fournit des mesures de la pollution atmosphérique par les PM2,5, les PM10 (particules), l'ozone et le dioxyde d'azote dans les grandes (TL2) et petites (TL3) régions. Les indicateurs fournissent une estimation de la concentration moyenne de polluants pondérée par la population et de la part de la population vivant dans des zones où les concentrations de polluants dépassent les lignes directrices de l'Organisation mondiale de la santé (5 μg/m³ pour les PM2,5, 15 μg/m³ pour les PM10, 60 μg/m³ pour l'ozone et 10 μg/m³ pour le dioxyde d'azote).</p> <p><strong>Définition des données et source</strong></p> <p>Les indicateurs de pollution atmosphérique PM2.5 sont calculés à l'aide de PlumLabs ("Plume Labs by AccuWeather : Accurate Historical, Live, and Forecast Air Quality Data (données historiques, en direct et prévisionnelles précises sur la qualité de l'air). Plume Labs by AccuWeather : Accurate Historical, Live, and Forecast Air Quality Data, plumelabs.com/en/forecast-api/). Les grilles disponibles d'une résolution de 0,1° par 0,1° fournissent la concentration moyenne estimée de PM2,5, PM10, ozone et dioxyde d'azote.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données de l'OCDE des Régions, Villes et Aires locales (<a href="http://data-explorer.oecd.org/s/zt">Pollution de l'air - Regionss</a>), <a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Environment statistics - Regions Statistiques environementales - Régions <p style="text-align: justify;">This dataset provides subnationaltional statistics on environment, in small and large regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/zt">Environment - Regions</a>), <a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides subnationaltional statistics on environment and climate, in small and large regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>Base de données de l'OCDE des Régions, Villes et Aires locales (<a href="http://data-explorer.oecd.org/s/zt">Environnement - Régions</a>), <a href=\"http://oe.cd/geostats\">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED MEASURE=MWAS+POP_WATER_2ND_TREAT,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Waste treatment - Regions Traitement des déchets - Régions <p style="text-align: justify;">This dataset provides indicators on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Municipal waste</strong> data covers total amount municipal waste collected, recovered municipal waste and municipal waste used in controlled landfilling. Recovered municipal waste is defined as waste that undergoes material recycling or other forms of recovery (including energy recovery, composting), excluding landfilling.&nbsp;</li> <li><strong>Wasterwater treated</strong> is measured by the share of population connected to at least secondary wastewater treatment.</li> </ul> <p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les déchets municipaux et le traitement des eaux usées dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Déchets municipaux</strong> : les données couvrent la quantité totale de déchets municipaux collectés, les déchets municipaux récupérés et les déchets municipaux utilisés dans des sites d'enfouissement contrôlés. Les déchets municipaux récupérés sont définis comme des déchets qui font l'objet d'un recyclage matériel ou d'autres formes de valorisation (y compris la valorisation énergétique, le compostage), à l'exclusion de l'enfouissement.</li> <li><strong>Eaux usées traitées</strong> : mesurées par la part de la population connectée à au moins un traitement des eaux usées de niveau secondaire.</li> </ul> <p>Les données sont collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=DOC_RA,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Health care - Regions Soins de santé - Régions <p style="text-align: justify;">This dataset provides indicators on healthcare resources in large regions (TL2), and small regions (TL3) when data is available. Indicators include doctor, practising nurses, hospital beds and hospital discharges.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Doctors</strong> (physicians) are usually generalists who assume responsibility for the provision of continuing care to individuals and families, or specialists such as paediatricians, obstetricians/gynaecologists, psychiatrists, medical specialists and surgical specialists.&nbsp;</li> <li><strong>Practising nurses</strong> provide services directly to patients, it includes: professional nurses, associate professional nurses, foreign nurses licensed to practice and actively practising in the country. It excludes midwives unless they work most of the time as nurses.</li> <li><strong>Hospital beds </strong>are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They include beds in all hospitals, including general hospitals, mental health and substance abuse hospitals, and other specialty hospitals; occupied and unoccupied beds.</li> </ul> <p style="padding-left: 40px;">The three indicators above are measured per 1 000 inhabitants.</p> <ul> <li><strong>Hospital discharge</strong> is the formal release of a patient from a hospital, here for all causes of diseases (A00-Z99) and all hospitals. It includes discharges from all hospitals, including general hospitals (HP.1.1), mental health hospitals (HP.1.2), and other specialised hospitals (HP.1.3) ; Deaths in hospital ; Transfers to another hospital ; Discharges of healthy newborns. This indicator is measured per 100 000 inhabitants.</li> </ul> <p>Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les ressources en matière de santé dans de grandes régions (TL2) et de petites régions (TL3) lorsque les données sont disponibles. Les indicateurs comprennent les médecins, les infirmiers en exercice, les lits d'hôpital et les sorties d'hôpital.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Médecins</strong> (médecins) sont généralement des généralistes qui assument la responsabilité de la fourniture de soins continus aux individus et aux familles, ou des spécialistes tels que les pédiatres, les obstétriciens/gynécologues, les psychiatres, les spécialistes médicaux et les spécialistes chirurgicaux.</li> <li><strong>Infirmiers en exercice</strong> fournissent des services directement aux patients, cela inclut : les infirmiers professionnels, les infirmiers professionnels associés, les infirmiers étrangers autorisés à pratiquer et pratiquant activement dans le pays. Cela exclut les sages-femmes à moins qu'elles ne travaillent la plupart du temps comme infirmières.</li> <li><strong>Lits d'hôpital </strong>sont tous les lits d'hôpital qui sont régulièrement entretenus et dotés en personnel, et immédiatement disponibles pour les soins des patients admis. Ils comprennent les lits dans tous les hôpitaux, y compris les hôpitaux généraux, les hôpitaux de santé mentale et de toxicomanie, et les autres hôpitaux spécialisés ; lits occupés et lits inoccupés.</li> </ul> <p style="padding-left: 40px;">Les trois indicateurs ci-dessus sont mesurés par 1 000 habitants.</p> <ul> <li><strong>Sortie d'hôpital</strong> est la libération formelle d'un patient d'un hôpital, ici pour toutes les causes de maladies (A00-Z99) et tous les hôpitaux. Cela inclut les sorties de tous les hôpitaux, y compris les hôpitaux généraux (HP.1.1), les hôpitaux de santé mentale (HP.1.2) et les autres hôpitaux spécialisés (HP.1.3) ; Décès à l'hôpital ; Transferts vers un autre hôpital ; Sorties de nouveaux-nés en bonne santé. Cet indicateur est mesuré par 100 000 habitants.</li> </ul> <p>Les données sont collectées auprès d'Eurostat (reg_hlth) pour les pays de l'UE et avec des données collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=DOC_RA,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Ageing healthcare workforce - Regions Vieillissement du personnel de santé - Régions <p style="text-align: justify;">This dataset presents indicators on physicians ageing across large regions (TL2), and small regions (TL3) where available.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Doctors</strong> (physicians) are usually generalists who assume responsibility for the provision of continuing care to individuals and families, or specialists such as paediatricians, obstetricians/gynaecologists, psychiatrists, medical specialists and surgical specialists.</li> <li><strong>Age groups cover</strong>&nbsp;total, 55&ndash;64, and 65 years and over.&nbsp;</li> </ul> <p>Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données présente des indicateurs sur le vieillissement des médecins dans les grandes régions (TL2) et, lorsque les données sont disponibles, dans les petites régions (TL3).</p><p><strong>Définition des données et source</strong></p> <ul><li><strong>Médecins</strong> (physiciens) sont généralement des généralistes qui assurent la prise en charge continue des individus et des familles, ou des spécialistes tels que les pédiatres, les obstétriciens/gynécologues, les psychiatres, les spécialistes médicaux et les spécialistes chirurgicaux.</li> <li><strong>Les groupes d’âge couvrent</strong> le total, 55–64 ans et 65 ans et plus.</li> </ul> <p>Les données sont collectées auprès d’Eurostat (reg_hlth) pour les pays de l’UE, ainsi que via les délégués du groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI), et à partir des sites web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE disposent de deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données de l’OCDE sur les régions, villes et territoires locaux <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,SEX=_Z,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=DOC_RA,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT Health statistics - Regions (for 'Developer API') Statistiques sur la santé - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides the whole set of <strong>OECD regional health indicators</strong> in large (TL2) and small (TL3) regions. It is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <ul> <li style="text-align: justify;"><span style="text-decoration: underline;">Healthcare resources</span>: physicians, practising nurses, hospital beds and hospital discharges.</li> <li style="text-align: justify;"><span style="text-decoration: underline;">Health status</span>: life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate.</li> <li style="text-align: justify;"><span style="text-decoration: underline;">Health risks</span>: obesity, mortality due circulatory and respiratory diseases, air pollution.</li> </ul> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial Grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides statistics on health statistics in regions. Indicators include healthcare resources (physicians, practising nurses, hospital beds and hospital discharges), health status (life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate) and health risks (obesity, mortality due circulatory and respiratory diseases, air pollution).</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=PM25_POP_EXP+OBESITY,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Health risks - Regions Risques sur la santé <p>This dataset provides indicators on health risks in large regions (TL2), and small regions (TL3) when data is available. Indicators include obesity rates, air pollution exposure, mortality rates due to circulatory and respiratory diseases.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Obesity rate</strong> is the percentage of population 15 years old or more with a BMI&gt;30 kg/m². The Body Mass Index (BMI) is a single number that evaluates an individual's weight status in relation to height (weight/height²) with weight in kilograms and height in meters.</li> <li><strong>Population exposure to fine particule PM2.5</strong> provide an estimate of the population-weighted average of PM2.5 concentration.</li> <li><strong>Respiratory system diseases mortality rate</strong>&nbsp; is the number of deaths from diseases of the respiratory system (group J00-J99 of the International Classification of Deseases), for 100 000 inhabitants.</li> <li><strong>Circulatory system diseases mortality rate</strong> rate is the number of deaths from diseases of the circulatory system (group I00-I99) for 100 000 inhabitants.</li> </ul> <p>PM2.5 air pollution indicators are computed using geospatial data from the Global Burden of Disease (GBD) 2019 project. Respiratory and circulatory related mortality data are collected from Eurostat (reg_hlth) for EU regions and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.&nbsp;</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Use of data on small regions</strong></p> <p>When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des statistiques régionales sur les risques sanitaires dans de grandes régions (TL2) et de petites régions (TL3) lorsque les données sont disponibles. Les indicateurs comprennent les taux d'obésité, l'exposition à la pollution atmosphérique, les taux de mortalité dus aux maladies circulatoires et respiratoires.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Taux d'obésité</strong> : pourcentage de la population de 15 ans ou plus avec un IMC&gt;30 kg/m². L'indice de masse corporelle (IMC) est un nombre unique qui évalue le statut pondéral d'un individu par rapport à sa taille (poids/taille²) avec le poids en kilogrammes et la taille en mètres.</li> <li><strong>Exposition de la population aux particules fines PM2.5</strong> : fournit une estimation de la moyenne pondérée par la population de la concentration en PM2.5.</li> <li><strong>Taux de mortalité des maladies respiratoires</strong> : nombre de décès dus aux maladies du système respiratoire (groupe J00-J99 de la Classification internationale des maladies), pour 100 000 habitants.</li> <li><strong>Taux de mortalité des maladies circulatoires</strong> : nombre de décès dus aux maladies du système circulatoire (groupe I00-I99) pour 100 000 habitants.</li> </ul> <p>Les indicateurs de pollution atmosphérique PM2.5 sont calculés à partir de données géospatiales du projet Global Burden of Disease (GBD) 2019. Les données sur la mortalité liée aux maladies respiratoires et circulatoires sont collectées auprès d'Eurostat (reg_hlth) pour les régions de l'UE et via des délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Utilisation des données sur les petites régions</strong></p> <p>Lorsque des données socio-démographiques sont analysées avec des données économiques au niveau TL3, il est recommandé d'agrégater les données au niveau des régions métropolitaines lorsqu'elles sont associées à plusieurs régions TL3. Les régions métropolitaines regroupent les régions TL3 lorsque 50 % ou plus de la population régionale vit dans des zones urbaines fonctionnelles de plus de 250 000 habitants. Cette approche corrige les distorsions créées par les déplacements domicile-travail, voir la liste des régions métropolitaines de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la méthodologie de l'UE <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(lien)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des regions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=LEXP,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Health status - Regions Etat de santé <p style="text-align: justify;">This dataset provides indicators on health status in in large regions (TL2), and small regions (TL3) when data is available. Indicators include life expectancy, raw mortality rate, age-adjusted mortality rate and infant mortality rate.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Life expectancy at birth</strong> is defined as how long, on average, a newborn can expect to live, if current death rates do not change.&nbsp;</li> <li><strong>Crude mortality rate</strong>&nbsp;is defined as the ratio of the number of deaths during the year to the average population in that year. The indicator is expressed per 1 000 inhabitants.</li> <li><strong>Age-adjusted mortality rate</strong> represents the death rate that would be expected in a given region if its population had the same age distribution as the OECD average, enabling comparability across different countries and regions. For small TL3 regions, where this indicator may vary, it is advisable to calculate the average values over a minimum period of three years for a more reliable assessment.</li> <li><strong> Infant mortality rate</strong> is the number of deaths of children less than one year of age per 1 000 live births.</li> </ul> <p>Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur l'état de santé dans de grandes régions (TL2) et de petites régions (TL3) lorsque les données sont disponibles. Les indicateurs comprennent l'espérance de vie, le taux brut de mortalité, le taux de mortalité ajusté selon l'âge et le taux de mortalité infantile.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>L'espérance de vie à la naissance</strong> est définie comme la durée moyenne qu'un nouveau-né peut espérer vivre, si les taux de mortalité actuels ne changent pas.</li> <li><strong>Le taux brut de mortalité</strong> est défini comme le rapport entre le nombre de décès au cours de l'année et la population moyenne de cette année. L'indicateur est exprimé par 1000 habitants.</li> <li><strong>Le taux de mortalité ajusté selon l'âge</strong> représente le taux de mortalité qui serait attendu dans une région donnée si sa population avait la même distribution par âge que la moyenne de l'OCDE, permettant la comparabilité entre différents pays et régions. Pour les petites régions TL3, où cet indicateur peut varier, il est conseillé de calculer les valeurs moyennes sur une période minimale de trois ans pour une évaluation plus fiable.</li> <li><strong>Le taux de mortalité infantile</strong> est le nombre de décès d'enfants de moins d'un an pour 1000 naissances vivantes.</li> </ul> <p>Les données sont collectées auprès d'Eurostat (reg_hlth) pour les pays de l'UE et avec des données collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI) et à partir des sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SECT_PERF LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY, TERRITORIAL_TYPE=_Z NOT_DISPLAYED MEASURE=EMP_RD_T,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Innovation statistics - Regions (for 'Developer API') Statistiques d'innovation - Régions (pour 'Developer API') <p style="text-align: justify;">This dataset provides the whole set of OECD regional innovation - patent applications, R&amp;D personnel and R&amp;D expenditure data - and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left. To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a>.</p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <div>This table presents information on patent applications for selected technologies, along with data on research and development (R&amp;D) personnel and expenditure by sector of performance. The R&amp;D statistics are mainly available for large regions (TL2), and patent data is also available for small regions (TL3).&nbsp;</div> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table (xls)</a> and the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid (pdf)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">This dataset provides the whole set of OECD regional patent aplications, R&D personnel and R&D expenditure data and is recommended for users who wish to query a large amount of data. It is not designed for visualising results using the Table and Chart buttons. To access the &lsquo;Developer API query builder&rsquo;, click on the &lsquo;Developer API&rsquo; button above.</p> <p style="text-align: justify;">The application programming interface (API), based on the SDMX standard, allows a developer to access the data using simple RESTful URL and HTTP header options for various choices of response formats including JSON. The query filter is generated according to the current data selection. To change the data selection, use the filters on the left.<br /><br />To get started check the&nbsp;<a href="https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf">API documentation</a></p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p style="text-align: justify;">This table contains research and development (R&D) personnel and expenditure statistics in large (TL2) regions and by sector of performance (business enterprise, government, higher education, and private non-profit).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>Guidelines for Collecting and Reporting Data on Research and Experimental Development;<a href="https://www.oecd.org/en/publications/frascati-manual-2015_9789264239012-en.html">Frascati Manual 2015</a>&nbsp;</li> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_TYPE=_Z,SEX=_Z, TERRITORIAL_TYPE=_Z,PRICES=_Z,REF_YEAR_PRICE=_Z NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Patent applications - Regions Statistiques sur les brevets - Régions <p style="text-align: justify;">This dataset provides subnational statistics on patent applications, for large regions (TL2) and small regions (TL3). It covers patent applications at international filled under the Patent Cooperation Treaty (PCT) at the World International Property Organisation (WIPO). These indicators are derived from the OECD, STI Intellectual Property Database (http://oe.cd/ipstats).</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). TL3 regions are grouped into typologies based on shared characteristics. For economic analysis, TL3 regions belonging to the same Functional Urban Area (FUA) with more than 250,000 inhabitants are aggregated into a single metropolitan region to reduce distortions from commuting. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table (xls)</a> and the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid (pdf)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Cet ensemble de données fournit des statistiques infranationales sur les demandes de brevets, pour les grandes régions (TL2) et les petites régions (TL3). Il couvre les demandes de brevets au niveau international auprès de l'Organisation mondiale de la propriété intellectuelle (OMPI) selon le Traité de coopération en matière de brevets (PCT). Ces indicateurs sont dérivés de la base de données STI de l'OCDE sur la propriété intellectuelle (http://oe.cd/ipstats).</p> <p><strong>Régions et niveaux territoriaux</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées sous les limites nationales et correspondent à des divisions administratives définies de manière autonome par les pays selon des critères différents. L'OCDE classe les régions en deux niveaux régionaux : grandes régions (niveau territorial 2 ou TL2) et petites régions (niveau territorial 3 ou TL3). Cette classification facilite une plus grande comparabilité des unités géographiques au même niveau territorial.</p> <p>La liste et les cartes des régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Typologies régionales</strong></p> <p style="text-align: justify;">Les typologies régionales permettent d'évaluer les différences dans les tendances socio-économiques des régions, tant au sein des pays qu'entre eux. Les petites régions (TL3) sont classées en deux types de typologie selon des caractéristiques partagées :</p> <ul> <li style="text-align: justify;">Typologie basée sur la proximité des régions aux zones urbaines fonctionnelles de tailles différentes (les ZUF englobent l'étendue économique et fonctionnelle des villes en se basant sur les mouvements quotidiens des populations). Voir la méthodologie <a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typologie basée sur la population urbaine-rurale : traditionnellement, l'OCDE a classé les petites régions comme étant principalement urbaines, intermédiaires ou principalement rurales. Voir la méthodologie <a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">La liste des régions de l'OCDE et des typologies est présentée dans le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citez ce jeu de données</strong></p> <p>Bases de données sur les Régions et Villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations supplémentaires</strong></p> <p>Les statistiques infranationales peuvent être explorées davantage avec :</p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des Régions et Villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des Régions et Villes de l'OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SECT_PERF LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_TYPE=_Z,SEX=_Z NOT_DISPLAYED MEASURE=GERD,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée R&D expenditure by sector of performance - Regions Dépenses de R&D par secteur d'exécution - Régions <p style="text-align: justify;">This dataset provides indicators on research and development expenditures in large (TL2) regions.</p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p>R&amp;D expenditures are reported by sector of performance (business enterprise, government, higher education, and private non-profit), and measured both as annual spending and as a share of regional GDP.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). TL3 regions are grouped into typologies based on shared characteristics. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table (xls)</a> and the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid (pdf)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>Guidelines for Collecting and Reporting Data on Research and Experimental Development<a href="https://www.oecd.org/en/publications/frascati-manual-2015_9789264239012-en.html"> Frascati Manual 2015</a></li> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.&nbsp;</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur les dépenses de recherche et développement (R&amp;D) dans les grandes régions (TL2).</p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p>Les dépenses de R&amp;D sont présentées par secteur d’exécution (entreprises, administrations publiques, enseignement supérieur et secteur privé sans but lucratif), et mesurées à la fois en dépenses annuelles et en pourcentage du PIB régional.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE disposent de deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions TL3 sont regroupées en typologies selon des caractéristiques communes. Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">table de correspondance territoriale de l’OCDE (xls)</a> et la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l’OCDE (pdf)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données de l’OCDE sur les régions, villes et territoires locaux <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>Lignes directrices pour la collecte et la présentation des données sur la recherche et le développement expérimental <a href="https://www.oecd.org/en/publications/frascati-manual-2015_9789264239012-en.html">Manuel de Frascati 2015</a></li> <li>L’outil interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l’OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true COUNTRY,REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SECT_PERF LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_TYPE=_Z,PRICES=_Z,REF_YEAR_PRICE=_Z NOT_DISPLAYED MEASURE=EMP_RD_T,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée R&D personnel by sector of performance - Regions Personnel de R&D par secteur d'exécution - Régions <p style="text-align: justify;">This table contains research and development (R&amp;D) personnel statistics in large (TL2) regions.&nbsp;</p> <p style="text-align: justify;"><strong>Indicators covered</strong></p> <p>Number of R&amp;D personnel is provided in both headcounts and full-time equivalent on R&amp;D by sex, sector of&nbsp;performance (business enterprise, government, higher education, and private non-profit).&nbsp;</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). TL3 regions are grouped into typologies based on shared characteristics. See the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">OECD Territorial Correspondence Table (xls)</a> and the <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">OECD Territorial grid (pdf)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>Guidelines for Collecting and Reporting Data on Research and Experimental Development<a href="https://www.oecd.org/en/publications/frascati-manual-2015_9789264239012-en.html"> Frascati Manual 2015</a></li> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce tableau contient des statistiques sur le personnel de recherche et développement (R&amp;D) dans les grandes régions (TL2).</p> <p style="text-align: justify;"><strong>Indicateurs couverts</strong></p> <p>Le nombre de personnel de R&amp;D est fourni à la fois en effectifs et en équivalents temps plein (ETP), ventilé par sexe et par secteur d’exécution (entreprises, administrations publiques, enseignement supérieur et secteur privé sans but lucratif).</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE disposent de deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions TL3 sont regroupées en typologies selon des caractéristiques communes. Voir la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">table de correspondance territoriale de l’OCDE (xls)</a> et la <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">grille territoriale de l’OCDE (pdf)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données de l’OCDE sur les régions, villes et territoires locaux <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>Lignes directrices pour la collecte et la présentation des données sur la recherche et le développement expérimental <a href="https://www.oecd.org/en/publications/frascati-manual-2015_9789264239012-en.html">Manuel de Frascati 2015</a></li> <li>L’outil interactif en ligne <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l’OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question ou commentaire, veuillez écrire à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators levels - Regions Marché du travail (niveaux) - Régions <p>This dataset presents indicators on the size of the labour force, employment, and unemployment in large regions (TL2) and, where available, in small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p>The labour force status is presented by sex, for 15-64 year-olds and 15+ year-olds age ranges, the latter having less country coverage. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données présente des indicateurs sur la taille de la population active, l’emploi et le chômage dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p><strong>Définition des données et source</strong></p> <p>Le statut sur le marché du travail est présenté par sexe, pour les tranches d’âge 15-64 ans et 15 ans ou plus, cette dernière ayant une couverture pays plus limitée. Les données reposent sur une enquête sur la population active utilisant les lignes directrices de l’OIT et sont collectées auprès d’Eurostat (reg_lmk) pour les pays de l’UE ainsi que via les délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des Régions et Villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_PT,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Part-time employment - Regions Emploi à temps partiel - Régions <p>This dataset provides part-time employment incidence, in large regions (TL2) and, where available, in small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p>Part-time employment is defined as people in employment (whether employees or self-employed) who usually work less than 30 hours per week in their main job. Part-time employment incidence is the share of part-time employed over total employment. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des indicateurs sur la part de l’emploi à temps partiel dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p><strong>Définition des données et source</strong></p> <p>L’emploi à temps partiel est défini comme les personnes en emploi (salariées ou indépendantes) qui travaillent habituellement moins de 30 heures par semaine dans leur emploi principal. La part de l’emploi à temps partiel correspond à la proportion des personnes travaillant à temps partiel dans l’emploi total. Les données reposent sur une enquête sur la population active utilisant les lignes directrices de l’OIT et sont collectées auprès d’Eurostat (reg_lmk) pour les pays de l’UE ainsi que via les délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des Régions et Villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators rates - Regions Marché du travail (taux) - Régions <p>This dataset provides indicators on participation rate, employment to population ratio and unemployment rate, in large regions (TL2) and, where available, in small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">The labour force status is presented by sex, for 15-64 year-olds and 15+ year-olds age ranges, the latter having less country coverage. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des indicateurs sur le taux d’activité, le ratio emploi/population et le taux de chômage dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Le statut sur le marché du travail est présenté par sexe, pour les tranches d’âge 15-64 ans et 15 ans ou plus, cette dernière ayant une couverture pays plus limitée. Les données reposent sur une enquête sur la population active utilisant les lignes directrices de l’OIT et sont collectées auprès d’Eurostat (reg_lmk) pour les pays de l’UE ainsi que via les délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Temporary employees - Regions Salariés temporaires - Régions <p>This dataset provides the share of closed fixed term employment contracts in large regions (TL2) and, where available, in small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p>Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p>&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit la part des contrats de travail à durée déterminée clos dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p><strong>Définition des données et source</strong></p> <p>Les données sont collectées via les délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p>Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des Régions et Villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators by access to city typology Indicateurs sur le marché du travail par typologie d'accès à la ville <p>This dataset provides labour market indicators aggregated at national level and broken down by a territorial typology based on population access to cities.</p> <p style="text-align: justify;"><strong>Data definition and source</strong></p> <p style="text-align: justify;">The indicators describe labour market conditions at place of residence by type of territory. Data is based on labour force surveys using ILO methodology and is collected from Eurostat (reg_lmk) for EU countries, as well as via delegates of the OECD Working Party on Territorial Indicators (WPTI) and national statistical offices.</p> <p><strong>Territorial typology</strong></p> <p>The indicators are aggregated at the national level using the TL3 regional typology, distinguishing metropolitan regions, regions near functional urban areas (FUAs), and remote regions. This typology helps analyse socio-economic differences across types of regions. See the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des indicateurs du marché du travail agrégés au niveau national et ventilés selon une typologie territoriale basée sur l’accès de la population aux villes.</p> <p style="text-align: justify;"><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les indicateurs décrivent le marché du travail au lieu de résidence par type de territoire. Les données reposent sur une enquête sur la population active selon la méthodologie de l’OIT et sont collectées auprès d’Eurostat (reg_lmk) pour les pays de l’UE ainsi que via les délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI) et les offices statistiques nationaux.</p> <p><strong>Typologie territoriale</strong></p> <p>Les indicateurs sont agrégés au niveau national à partir de la typologie des régions TL3, distinguant les régions métropolitaines, proches de zones fonctionnelles urbaines (FUA) et les régions éloignées. Cette typologie permet d’analyser les différences socio-économiques entre types de régions. Voir la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des Régions et Villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour indicators by urban-rural territorial typology Indicateurs sur le marché du travail par typologie urbaine-rurale <p>This dataset provides labour market indicators aggregated at national level and broken down by urban-rural territorial typology.</p> <p style="text-align: justify;"><strong>Data source and definition</strong></p> <p style="text-align: justify;">The indicators include labour indicators at place of residence by type of territory. Data is based on a labor force survey using ILO methodology and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p style="text-align: justify;"><strong>Territorial typology</strong></p> <p style="text-align: justify;">The OECD classifies TL3 regions as predominantly urban, intermediate or predominantly rural; rural regions can be further split into &ldquo;close to city&rdquo; and &ldquo;remote&rdquo; (see methodology <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>). This typology supports analysis of socio-economic differences across regions. See also the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p>Ce jeu de données fournit des indicateurs du marché du travail agrégés au niveau national et ventilés selon une typologie territoriale urbain-rural.</p> <p style="text-align: justify;"><strong>Définition des données et source</strong></p> <p style="text-align: justify;">Les indicateurs décrivent le marché du travail au lieu de résidence par type de territoire. Les données reposent sur des enquêtes sur la population active selon la méthodologie de l’OIT et sont collectées auprès d’Eurostat (reg_lmk) pour les pays de l’UE, ainsi que via les délégués du Groupe de travail de l’OCDE sur les indicateurs territoriaux (WPTI) et les offices statistiques nationaux. Les indicateurs sont agrégés au sein des pays à partir de la typologie TL3 afin de produire des totaux ou moyennes pour les régions à prédominance urbaine, intermédiaires et à prédominance rurale.</p> <p style="text-align: justify;"><strong>Typologie territoriale</strong></p> <p style="text-align: justify;">L’OCDE classe les régions TL3 en régions à prédominance urbaine, intermédiaires ou à prédominance rurale ; ces dernières peuvent être subdivisées en régions « proches d’une ville » et « éloignées » (voir la méthodologie <a href="https://www.oecd.org/cfe/regionaldevelopment/OECD_regional_typology_Nov2012.pdf">(pdf)</a>). Cette typologie permet d’analyser les différences socio-économiques entre régions. Voir également la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> et la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des Régions et Villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY NOT_DISPLAYED MEASURE=EMP_RATIO,AGE=Y15T64,SEX=_T,=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Labour statistics - Regions (for 'Developer API') Statistiques sur le marché du travail - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides indicators on labour market, in large regions (TL2) and, where available, in small regions (TL3).</p> <p style="text-align: justify;"><strong>Data covered</strong></p> <p style="text-align: justify;">Indicators include labour force, participation rate, employment, employment to population ratio, part-time employment rate, unemployment, unemployment rate, long-term unemployment rate and share of fixed-term employment contracts. Indicators are available&nbsp;by sex, for 15-64 year-olds. 15-24 year-olds and 15 year-olds or more age ranges are also available.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur le marché du travail dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p style="text-align: justify;"><strong>Données couvertes</strong></p> <p style="text-align: justify;">Les indicateurs comprennent la population active, le taux d’activité, l’emploi, le ratio emploi/population, le taux d’emploi à temps partiel, le chômage, le taux de chômage, le taux de chômage de longue durée et la part des contrats de travail à durée déterminée. Les indicateurs sont disponibles par sexe pour les personnes âgées de 15 à 64 ans. Des tranches d’âge supplémentaires sont également disponibles pour les 15-24 ans et les 15 ans ou plus.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE des régions, villes et territoires locaux&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a></li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez envoyer un courriel à <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,EDUCATION_LEV,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED AGE=Y15T64,UNIT_MEASURE=PT_POP_SUB,SEX=_T,TERRITORIAL_LEVEL=CTRY+TL2,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_MEASURE:ORIGIN,MEASURE,EDUCATION_LEV,AGE,SEX;UNIT_MEASURE:UNIT_MEASURE;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unité de mesure;COMBINED_REF_AREA:Zone géographique de référence combinée Foreign-born population - Regions Personnes nées à l'étranger - Statistiques régionales <p style="text-align: justify;">This dataset provides statistics on foreign-born population, for large regions (TL2).</p> <p style="text-align: justify;"><strong>Data definiton</strong></p> <p style="text-align: justify;">The database presents the foreign-born data following the region where the measure is observed and the place of birth. The measure of the count and integration of migrants can be compared with to that of native born. The indicators include demographic characteristics, educational level and labour market integration.&nbsp;</p> <p style="text-align: justify;">For more details on data sources for each country, please see <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=488a2d36-6ed6-4c29-9878-4a2ce384fe2b">here</a>.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur la population née à l'étranger, pour les grandes régions (TL2).</p> <p style="text-align: justify;"><strong>Définition des données</strong></p> <p style="text-align: justify;">La base de données présente les données sur les personnes nées à l'étranger en fonction de la région où la mesure est observée et du lieu de naissance. La mesure du nombre et de l'intégration des migrants peut être comparée à celle des personnes nées dans le pays. Les indicateurs comprennent les caractéristiques démographiques, le niveau d'éducation et l'intégration sur le marché du travail.&nbsp;</p> <p style="text-align: justify;">Pour plus de détails sur les sources de données pour chaque pays, veuillez consulter <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=488a2d36-6ed6-4c29-9878-4a2ce384fe2b">ici</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales situées en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=cebce94d-9474-4ffc-b72a-d731fbdb75b9">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=db68c5c3-5fd5-465c-b25b-b50aa14c2da1">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données sur les régions et les villes de l'OCDE&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif&nbsp;<a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a>&nbsp;</li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et des villes de l'OCDE</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED MEASURE=MWAS+POP_WATER_2ND_TREAT,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Waste treatment - Regions Traitement des déchets - Régions <p style="text-align: justify;">This dataset provides statistics on municipal waste and wastewater treatment in large (TL2) and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Municipal waste</strong> data covers total amount municipal waste collected, recovered municipal waste and municipal waste used in controlled landfilling. Recovered municipal waste is defined as waste that undergoes material recycling or other forms of recovery (including energy recovery, composting), excluding landfilling.&nbsp;</li> <li><strong>Wasterwater treated</strong> is measured by the share of population connected to at least secondary wastewater treatment.</li> </ul> <p>Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and in the OECD Territorial correspondence table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions and Cities databases&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <ul> <li>The interactive web-tool&nbsp;<a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">OECD Regions and Cities at a Glance</a></li> </ul> <p>Contact:&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les déchets municipaux et le traitement des eaux usées dans les grandes (TL2) et petites (TL3) régions.</p> <p><strong>Définition des données et source</strong></p> <ul> <li><strong>Déchets municipaux</strong> : les données couvrent la quantité totale de déchets municipaux collectés, les déchets municipaux récupérés et les déchets municipaux utilisés dans des sites d'enfouissement contrôlés. Les déchets municipaux récupérés sont définis comme des déchets qui font l'objet d'un recyclage matériel ou d'autres formes de valorisation (y compris la valorisation énergétique, le compostage), à l'exclusion de l'enfouissement.</li> <li><strong>Eaux usées traitées</strong> : mesurées par la part de la population connectée à au moins un traitement des eaux usées de niveau secondaire.</li> </ul> <p>Les données sont collectées par l'intermédiaire de délégués du Groupe de travail de l'OCDE sur les indicateurs territoriaux (WPTI), ainsi que sur les sites Web des offices statistiques nationaux.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités subnationales en dessous des frontières nationales. Les pays de l'OCDE ont deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et dans le tableau de correspondance territoriale de l'OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Citer ce jeu de données</strong></p> <p>Bases de données des régions et des villes de l'OCDE <a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Informations complémentaires</strong></p> <ul> <li>L'outil web interactif <a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et des villes de l'OCDE</a></li> <li>Le rapport <a href="https://www.oecd.org/governance/oecd-regions-and-cities-at-a-glance-26173212.htm">Panorama des régions et villes de l'OCDE</a></li> </ul> <p>Contact : <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=BB_ACC,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Internet broadband access - Regions Logement - Régions <p style="text-align: justify;">This dataset provides indicators on the share of households with internet broadband access (in % of total households), in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides statistics on the share of households with internet broadband access (in % of total households), in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=ROOMS+HOUSE_COST+POP_WATER_2ND_TREAT,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Housing - Regions Logement - Régions <p style="text-align: justify;">This dataset provides indicators on the number of rooms per capita, the passenger private road motor vehicles by type of engine, in regions. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides statistics on the number of rooms per capita, the passenger private road motor vehicles by type of engine, in regions. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8,MEASURE=PR_INC_DISP_PL_50 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Income inequality - Regions Inégalité de revenu - Régions <p style="text-align: justify;">This dataset provides indicators on income inequalities in large regions (TL2). Indicators include relative poverty rate, S80/S20 income ratio, home ownership rate and housing costs as a percentage of disposable income.</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Relative poverty rate&nbsp;</strong>(by gender) is the share of people - as a percentage of the total population&nbsp;- living in households with a disposable income below the relative poverty line (50% of the national median disposable income).&nbsp;</li> <li><strong>S80/S20 ratio</strong>&nbsp;is the total income received by the 20% of the people with the highest income in a region divided by the total income received by the 20% of people with the lowest income in the same region.</li> <li><strong>Home ownership rate </strong>refers to the percentage of people who own the home where they live (own outright and with a morgage).</li> <li><strong>Housing costs as a percentage of disposable income</strong>&nbsp;considers the expenditure of households in housing - such as mortgages and rents - and maintenance of the house - including water, electricity, gas and other fuels, as well as furnishings, household equipment and routine maintenance of the house.</li> </ul> <p>Data sources are detailled in&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78.html#annex-d1e11923-5bd726c153">OECD Regions and Cities at a Glance 2024 - Annex B</a></p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/11w">Income inequalities - Regions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des statistiques sur les inégalités de revenus dans les grandes régions (TL2). Les indicateurs incluent le taux de pauvreté relative, le ratio de revenus S80/S20, le taux de propriété immobilière et les coûts liés au logement en pourcentage du revenu disponible.</p> <p><strong>Définition des données et sources</strong></p> <ul> <li><strong>Taux de pauvreté relative&nbsp;</strong>(par genre) : proportion de personnes, exprimée en pourcentage de la population totale, vivant dans des ménages avec un revenu disponible inférieur au seuil de pauvreté relative (50 % du revenu médian disponible national).</li> <li><strong>Ratio S80/S20</strong>&nbsp;: rapport entre le revenu total des 20 % des personnes les plus riches d’une région et le revenu total des 20 % des personnes les plus pauvres dans cette même région.</li> <li><strong>Taux de propriété immobilière&nbsp;</strong>: pourcentage de personnes possédant leur logement (propriété directe ou avec hypothèque).</li> <li><strong>Coûts liés au logement en pourcentage du revenu disponible&nbsp;</strong>: prise en compte des dépenses des ménages pour le logement - telles que les hypothèques et les loyers - ainsi que pour l’entretien du logement, y compris l’eau, l’électricité, le gaz, les autres combustibles, ainsi que les équipements et la maintenance de routine du logement.</li> </ul> <p>Les sources des données sont détaillées dans&nbsp;<a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/sources-and-data-description_1e03fb78-5bd726c153">Panorama des régions et des villes de l'OCDE 2024 - Annexe B</a>.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous des frontières nationales. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Les régions de l'OCDE sont présentées dans la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et le tableau de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données sur les régions, villes et zones locales de l'OCDE (<a href="http://data-explorer.oecd.org/s/11w">Inégalités de revenus - Régions</a>),&nbsp;<a href="\&quot;http://oe.cd/geostats\&quot;">http://oe.cd/geostats</a>.</p> <p>Contact :&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=HOMIC,UNIT_MEASURE=CS_10P5PS,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Safety - Regions Sécurité - Régions <p style="text-align: justify;">This dataset provides indicators on homicide rates, motor vehicle thefts and mortality rates due to transport in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides statistics on homicide rates, motor vehicle thefts and mortality rates due to transport in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY NOT_DISPLAYED REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Society statistics - Regions (for 'Developer API') Statistiques sur la société - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides social statistics in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides social statistics in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=VEH_STOCK_TOTAL,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Private road vehicles - Regions Véhicules - Régions <p style="text-align: justify;">This dataset provides indicators on passenger private road motor vehicles by type of engine, in regions. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides statistics on passenger private road motor vehicles by type of engine, in regions. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,COUNTRY,TERRITORIAL_LEVEL=CTRY,SEX=(_T+_Z),AGE=(_T+_Z) NOT_DISPLAYED MEASURE=VOTERS_RATE,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT111+AT112+AT113+AT12+AT121+AT122+AT123+AT124+AT125+AT126+AT127+AT13+AT130+AT21+AT211+AT212+AT213+AT22+AT221+AT222+AT223+AT224+AT225+AT226+AT31+AT311+AT312+AT313+AT314+AT315+AT32+AT321+AT322+AT323+AT33+AT331+AT332+AT333+AT334+AT335+AT34+AT341+AT342 DEFAULT COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_REF_AREA:Combined reference area COMBINED_REF_AREA:Zone géographique de référence combinée Civic engagement - Regions Engagement civique - Régions <p style="text-align: justify;">This dataset provides indicators on voter turnout to general elections (percentage of registered voters who voted), in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">This dataset provides statistics on voter turnout to general elections (percentage of registered voters who voted), in regions.</p> <p><strong>Regions and territorial levels</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.</p> <p>The list and maps of OECD regions are presented in the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a>.</p> <p><strong>Regional typologies</strong></p> <p style="text-align: justify;">Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:&nbsp;</p> <ul> <li style="text-align: justify;">Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people&rsquo;s movements). See the methodology&nbsp;<a href="https://doi.org/10.1787/b902cc00-en">(pdf)</a>.</li> <li style="text-align: justify;">Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology&nbsp;<a href="https://www.oecd-ilibrary.org/defining-regions-and-functional-urban-areas_5j8l8fgd288t.pdf?itemId=%2Fcontent%2Fcomponent%2Freg_cit_glance-2018-50-en&amp;mimeType=pdf">(pdf)</a>.</li> </ul> <p style="text-align: justify;">The list of OECD regions and typologies are presented in the OECD Territorial correspondence table&nbsp;<a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a></p> <p><strong>Further information</strong></p> <p>Subnational statistics can be further explored with:</p> <ul> <li>The interactive web-tool <a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li>The report <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For any question or comment, please write to&nbsp;<a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a></p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY NOT_DISPLAYED MEASURE=TOUR_NIGHTS,ACCOMODATION_TYPE=MARKET,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Tourism statistics - Regions (for 'Developer API') Statistiques du tourisme - Régions (pour 'dévelopeurs API') <p style="text-align: justify;">This dataset provides indicators on tourism occupancy and capacity in large regions (TL2) and, where available, in small regions (TL3).</p> <p style="text-align: justify;"><strong>Data covered</strong></p> <p style="text-align: justify;">Indicators include number of overnights and accommodation capacity broken down by visitor type (domestic, foreign) and by accommodation type: commercial (hotels, camping, short-term stays) and non-commercial.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur l’occupation et la capacité touristiques dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p style="text-align: justify;"><strong>Données couvertes</strong></p> <p style="text-align: justify;">Les indicateurs incluent le nombre de nuitées et la capacité d’hébergement, ventilés par type de visiteurs (nationaux, étrangers) et par type d’hébergement : marchand (hôtels, campings, locations de courte durée) et non marchand.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE Régions, villes et zones locales&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez contacter <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=TOUR_BEDS,ACCOMODATION_TYPE=MARKET,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Tourism accommodation capacity - Regions Capacité d’hébergement touristique - Régions <p style="text-align: justify;">This dataset provides indicators on tourism capacity in large regions (TL2) and, where available, in small regions (TL3).</p> <p style="text-align: justify;"><strong>Data covered</strong></p> <p style="text-align: justify;">Indicators include accommodation capacity broken down by visitor type (domestic, foreign) and by accommodation type: commercial (hotels, camping, short-term stays) and non-commercial.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur la capacité touristique dans les grandes régions (TL2) et, lorsque disponibles, dans les petites régions (TL3).</p> <p style="text-align: justify;"><strong>Données couvertes</strong></p> <p style="text-align: justify;">Les indicateurs incluent la capacité d’hébergement, ventilée par type de visiteurs (nationaux, étrangers) et par type d’hébergement : marchand (hôtels, campings, locations de courte durée) et non marchand.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE Régions, villes et zones locales&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez contacter <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,TERRITORIAL_LEVEL LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,COUNTRY,UNIT_MULT=0,TERRITORIAL_LEVEL=CTRY NOT_DISPLAYED MEASURE=TOUR_NIGHTS,ACCOMODATION_TYPE=MARKET,REF_AREA=AUS+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUT+AT11+AT12+AT13+AT21+AT22+AT31+AT32+AT33+AT34 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX;COMBINED_REF_AREA:REF_AREA,TERRITORIAL_LEVEL COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_REF_AREA:Combined reference area COMBINED_MEASURE:Mesure combinée;COMBINED_REF_AREA:Zone géographique de référence combinée Tourist overnight stays - Regions Nuitées touristiques - Régions <p style="text-align: justify;">This dataset provides indicators on tourism occupancy in large regions (TL2) and small regions (TL3).</p> <p style="text-align: justify;"><strong>Data covered</strong></p> <p style="text-align: justify;">Indicators include number of overnights broken down by visitor type (domestic, foreign) and by accommodation type: commercial (hotels, camping, short-term stays) and non-commercial.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> <p style="text-align: justify;">Ce jeu de données fournit des indicateurs sur l’occupation touristique dans les grandes régions (TL2) et les petites régions (TL3).</p> <p style="text-align: justify;"><strong>Données couvertes</strong></p> <p style="text-align: justify;">Les indicateurs incluent le nombre de nuitées, ventilé par type de visiteurs (nationaux, étrangers) et par type d’hébergement : marchand (hôtels, campings, locations de courte durée) et non marchand.</p> <p><strong>Définition des régions</strong></p> <p style="text-align: justify;">Les régions sont des unités infranationales situées en dessous du niveau national. Les pays de l’OCDE comptent deux niveaux régionaux : les grandes régions (niveau territorial 2 ou TL2) et les petites régions (niveau territorial 3 ou TL3). Pour plus d’informations, voir la grille territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> et la table de correspondance territoriale de l’OCDE <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>.&nbsp;</p> <p><strong>Citer ce jeu de données</strong></p> <p>Base de données OCDE Régions, villes et zones locales&nbsp;<a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Informations complémentaires</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">Atlas statistique des régions et villes de l’OCDE</a>&nbsp;</li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">Panorama des régions et des villes de l’OCDE</a></li> </ul> <p>Pour toute question et/ou commentaire, veuillez contacter <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p> NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,UNIT_MEASURE,COFOG LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024,UNIT_MEASURE=PT_EXP+PT_P5L,COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10+_TXGF01_04_05_06_09 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government expenditure by functional classification (COFOG) Dépenses des collectivités territoriales, par fonction de gouvernement (COFOG) This dataset includes data on both total expenditure and direct investment of subnational governments by functions, based on the Classification of the Functions of Government (COFOG). The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les dépenses des collectivités territoriales, par fonction, sur la base de la classification des fonctions des administrations publiques (COFOG). Le COFOG comprend dix catégories : services publics généraux ; défense ; ordre et sécurité publics ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; santé ; loisirs, culture et religion ; éducation ; et protection sociale.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous<br/><br/>.La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,UNIT_MEASURE,COFOG LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024,UNIT_MEASURE=PT_EXP+PT_P5L,COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10+_TXGF01_04_05_06_09 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government investment by functional classification (COFOG) Investissements des collectivités territoriales, par fonction de gouvernement (COFOG) This dataset includes data on both total expenditure and direct investment of subnational governments by functions, based on the Classification of the Functions of Government (COFOG). The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les investissements directs des collectivités territoriales, par fonction, sur la base de la classification des fonctions des administrations publiques (COFOG). Le COFOG comprend dix catégories : services publics généraux ; défense ; ordre et sécurité publics ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; santé ; loisirs, culture et religion ; éducation ; et protection sociale.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government budget balance and debt Solde budgétaire et dette des collectivités territoriales This dataset includes subnational government debt expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public debt.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend la dette totale des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage de ka dette publique totale.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2024 DEFAULT Subnational government structure and finance: socio-economic indicators Structure et Finances des Collectivités Territoriales : indicateurs socio-économiques This dataset includes overall socio-economic indicators such as GDP and GDP growth rate, population, and land area (corresponding to Total Surface Area).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend des indicateurs socio-économiques clés sur les pays de l’OCDE tels que le PIB, le taux de croissance du PIB, la population et la superficie (correspondant à la surface totale). Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government expenditure Dépenses des collectivités territoriales This dataset includes subnational government expenditure expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public expenditure.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les dépenses totales des collectivités territoriales exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des dépenses publiques totales. <br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,UNIT_MEASURE,MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024,MEASURE=E111+E112+E113+E116+E12+E14+E13,UNIT_MEASURE=PT_EXP DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government expenditure by economic classification Dépenses des collectivités territoriales, par classification économique This dataset includes sub-categories of expenditure by economic classification based on the System of National Accounts. It distinguishes between current expenditure (including compensation of employees, current social expenditures, subsidies and current transfers) and capital expenditure (including direct investment).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend des sous-catégories de dépenses par classification économique, suivant le système de comptabilité nationale. Il distingue les dépenses courantes (y compris la rémunération des salariés, les dépenses sociales courantes, les subventions et les transferts courants) et les dépenses en capital (y compris les investissements directs).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024,MEASURE=E121 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government investment Investissement des collectivités territoriales This dataset includes subnational government investment expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public investment.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les investissements totaux des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des investissements publics totaux.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SIZE_CLASS=S0T1999+S2000T4999+S5000T19999+S_GE20000 DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,SIZE_CLASS COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0)+SIZE_CLASS:OECD.CFE.RDG:HCL_SIZE_CLASS_DASHBOARD(1.0).H HIER_CONTEXT Municipal level government by population size - change Municipalités en fonction du nombre d'habitants - changement This dataset includes data on average and median municipal population size, and the share of municipalities by size classes, distinguishing between the following categories: less than 2 000 inhabitants, between 2 000 and 4 999 inhabitants, between 5 000 and 19 999 inhabitants, and more than 20 000 inhabitants.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2023 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les tailles moyenne et médiane du niveau municipal dans chaque pays en termes de population, et la répartition des municipalités selon leur nombre d’habitants (distinguant les municipalités de moins de 2 000 habitants, entre 2 000 et 4 999 habitants, entre 5 000 et 19 999 habitants, et de plus de 20 000 habitants).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour les pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données mises à jour au 1er janvier 2025 (sauf mention contraire), pour les 38 pays membres de l'OCDE.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government recurrent property tax revenue Recettes issues des impôts récurrents sur la propriété immobilière des collectivités territoriales This dataset includes subnational government recurrent property tax revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, percentage of subnational revenue, and percentage of subnational tax revenue.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les recettes des impôts récurrents sur la propriété immobilière des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, pourcentage des recettes fiscales des collectivités territoriales, et pourcentage des recettes totales des collectivités territoriales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government revenue Recettes des collectivités territoriales This dataset includes subnational government revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public revenue.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les recettes totales des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des recettes publiques totales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux).<br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024,MEASURE=R11+R12+R13+R14+R16 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government revenue by category Recettes des collectivités territoriales par catégories This dataset includes sub-categories of revenue based on the System of National Accounts, including tax revenue, grants and subsidies, tariffs and fees, property income, and social contributions.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries.<br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend plusieurs sous-catégories de recettes, suivant le système de comptabilité nationale. Elle distingue les recettes fiscales, les transferts et subventions, les tarifs et redevances, les revenus issus de la propriété et les cotisations sociales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2025,TIME_PERIOD_END=2025 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Number of subnational governments Nombre de collectivités territoriales This dataset includes data on the number of subnational governments in each country, distinguishing between municipal, intermediate and regional governments (when relevant).<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data as of end 2025 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend le nombre de collectivités territoriales dans chaque pays, en distinguant les gouvernements municipaux, intermédiaires et régionaux (le cas échéant).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données mises à jour fin 2025 (sauf mention contraire), pour les 38 pays membres de l'OCDE.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW COMBINED_MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SIZE_CLASS=_T+S0T1999+S2000T4999+S5000T19999+S_GE20000,TIME_PERIOD_START=2025,TIME_PERIOD_END=2025 DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION,SIZE_CLASS COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0)+SIZE_CLASS:OECD.CFE.RDG:HCL_SIZE_CLASS_DASHBOARD(1.0).H HIER_CONTEXT Municipal level government by population size Municipalités en fonction du nombre d’habitants This dataset includes data on average and median municipal population size, and the share of municipalities by size classes, distinguishing between the following categories: less than 2 000 inhabitants, between 2 000 and 4 999 inhabitants, between 5 000 and 19 999 inhabitants, and more than 20 000 inhabitants.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2025 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).<br/><br/>The data is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les tailles moyenne et médiane du niveau municipal dans chaque pays en termes de population, et la répartition des municipalités selon leur nombre d’habitants (distinguant les municipalités de moins de 2 000 habitants, entre 2 000 et 4 999 habitants, entre 5 000 et 19 999 habitants, et de plus de 20 000 habitants).<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données mises à jour en 2025 (sauf mention contraire), pour les 38 pays membres de l'OCDE.<br/><br/>Les données sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true REF_AREA,SECTOR LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED SECTOR=S13M+S1312+S1313,TIME_PERIOD_START=2020,TIME_PERIOD_END=2024,MEASURE=R11 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR_DASHBOARD(1.0).H HIER_CONTEXT Subnational government tax revenue Recettes fiscales des collectivités territoriales This dataset includes subnational government tax revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, percentage of total public tax revenue and percentage of total subnational revenue.<br/><br/>The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the time period 2000 - 2024 (based on data availability), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector, for both state and local government levels for some federal countries. <br/><br/>The data for the latest year available is also available in <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">PDF format</a> and via an <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">Interactive dashboard</a>. Cette base de données comprend les recettes fiscales totales des collectivités territoriales, exprimées en différentes unités : dollars US PPP, dollars US PPP par habitant, pourcentage du PIB, et pourcentage des recettes fiscales publiques totales.<br/><br/>Pour plus d'indicateurs, vous pouvez accéder aux autres bases de données listées ci-dessous.<br/><br/>La base de données « Structure et Finances des Collectivités Territoriales » fournit des données comparatives sur l'organisation institutionnelle et les finances publiques au niveau infranational dans l’OCDE (en distinguant les échelons fédéré et local pour certains pays fédéraux et quasi-fédéraux). <br/><br/>La base inclut des données pour les années 2000 à 2024 (selon les années disponibles), pour les 38 pays membres de l'OCDE, et la moyenne pour l'Union européenne.<br/><br/>Les données pour la dernière année disponible sont également disponibles en <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/subnational-finance-and-investment/subnational-governments-infrastructure-finance-2026.pdf">format PDF</a> et dans un <a href="https://www.oecd.org/en/data/dashboards/oecd-dashboard-on-subnational-government-structure-and-finance.html">tableau de bord</a>. NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,UNIT_MEASURE=XDC,COFOG=_Z DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H HIER_CONTEXT EXT_RESOURCE Disaggregated municipal finance data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1d74929b-d79e-4000-b448-d554d62737eb Disaggregated municipal finance data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1d74929b-d79e-4000-b448-d554d62737eb EXT_RESOURCE Disaggregated municipal finance data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e269b73b-f1b7-4426-b00a-0384ceae1c25 Disaggregated municipal finance data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e269b73b-f1b7-4426-b00a-0384ceae1c25 EXT_RESOURCE Disaggregated municipal finance data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b98af2c7-5e53-4d3a-ad44-82e889f30465 Disaggregated municipal finance data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b98af2c7-5e53-4d3a-ad44-82e889f30465 EXT_RESOURCE Disaggregated municipal finance data - Colombia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c735a60c-e4c0-4b5c-ab15-a9ba54c73bf6 Disaggregated municipal finance data - Colombia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c735a60c-e4c0-4b5c-ab15-a9ba54c73bf6 EXT_RESOURCE Disaggregated municipal finance data - Croatia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0866f3e3-f2cd-4a62-bfe0-3ee90fc9ec58 Disaggregated municipal finance data - Croatia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0866f3e3-f2cd-4a62-bfe0-3ee90fc9ec58 EXT_RESOURCE Disaggregated municipal finance data - Czechia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0579c66b-e48e-486c-af36-696660347736 Disaggregated municipal finance data - Czechia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0579c66b-e48e-486c-af36-696660347736 EXT_RESOURCE Disaggregated municipal finance data - Denmark|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ab4270-0436-41f0-8ef0-9fb7e2f6ef08 Disaggregated municipal finance data - Denmark|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=21ab4270-0436-41f0-8ef0-9fb7e2f6ef08 EXT_RESOURCE Disaggregated municipal finance data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6a24ba09-b594-49ca-a896-76cae11313d7 Disaggregated municipal finance data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6a24ba09-b594-49ca-a896-76cae11313d7 EXT_RESOURCE Disaggregated municipal finance data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=27b837b9-44c9-4a84-9759-b22fb7bd45d9 Disaggregated municipal finance data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=27b837b9-44c9-4a84-9759-b22fb7bd45d9 EXT_RESOURCE Disaggregated municipal finance data - France|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d1d29859-65e9-4ccb-98b3-eba27a7f4d15 Disaggregated municipal finance data - France|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d1d29859-65e9-4ccb-98b3-eba27a7f4d15 EXT_RESOURCE Disaggregated municipal finance data - Hungary|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=275170a8-a37a-4b9c-904a-e232017cca2c Disaggregated municipal finance data - Hungary|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=275170a8-a37a-4b9c-904a-e232017cca2c EXT_RESOURCE Disaggregated municipal finance data - Iceland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a328f9c6-40b4-4eeb-8c49-1bbfe748a2c0 Disaggregated municipal finance data - Iceland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a328f9c6-40b4-4eeb-8c49-1bbfe748a2c0 EXT_RESOURCE Disaggregated municipal finance data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34787821-5eb9-46c3-89bf-a4739865f88b Disaggregated municipal finance data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34787821-5eb9-46c3-89bf-a4739865f88b EXT_RESOURCE Disaggregated municipal finance data - Korea Republic|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec6e50e6-7259-4c60-9230-7623c05649b2 Disaggregated municipal finance data - Korea Republic|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ec6e50e6-7259-4c60-9230-7623c05649b2 EXT_RESOURCE Disaggregated municipal finance data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b0e7b26-51e2-491b-ae1c-125a4250999c Disaggregated municipal finance data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9b0e7b26-51e2-491b-ae1c-125a4250999c EXT_RESOURCE Disaggregated municipal finance data - Lithuania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=423562ae-b7b9-4967-a40b-3b15e3eeb49b Disaggregated municipal finance data - Lithuania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=423562ae-b7b9-4967-a40b-3b15e3eeb49b EXT_RESOURCE Disaggregated municipal finance data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b3f4e49a-17e9-44a5-bcc5-951393768efa Disaggregated municipal finance data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b3f4e49a-17e9-44a5-bcc5-951393768efa EXT_RESOURCE Disaggregated municipal finance data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2f22529f-2942-4579-9054-6f0bd241e2eb Disaggregated municipal finance data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2f22529f-2942-4579-9054-6f0bd241e2eb EXT_RESOURCE Disaggregated municipal finance data - Netherlands|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0594706-727e-453c-92e6-cbe51d7ff770 Disaggregated municipal finance data - Netherlands|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c0594706-727e-453c-92e6-cbe51d7ff770 EXT_RESOURCE Disaggregated municipal finance data - New Zealand|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b86339c3-9d87-41fe-92bf-3ba3f6ae7f0e Disaggregated municipal finance data - New Zealand|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b86339c3-9d87-41fe-92bf-3ba3f6ae7f0e EXT_RESOURCE Disaggregated municipal finance data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abf779ca-e776-4d06-9781-4f61ab8b379f Disaggregated municipal finance data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abf779ca-e776-4d06-9781-4f61ab8b379f EXT_RESOURCE Disaggregated municipal finance data - Poland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=0f6f56fe-32a6-4b9c-a97c-55f79c1b7d3a Disaggregated municipal finance data - Poland|https:/stats.oecd.org/wbos/fileview2.aspx?IDFile=0f6f56fe-32a6-4b9c-a97c-55f79c1b7d3a EXT_RESOURCE Disaggregated municipal finance data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6988403c-29aa-4223-a866-32a2381bb936 Disaggregated municipal finance data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6988403c-29aa-4223-a866-32a2381bb936 EXT_RESOURCE Disaggregated municipal finance data - Romania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff908b04-1844-4f36-a060-859d91edaec9 Disaggregated municipal finance data - Romania|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff908b04-1844-4f36-a060-859d91edaec9 EXT_RESOURCE Disaggregated municipal finance data - Slovenia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d53b0b0b-c43c-43b7-af43-f81ba22123ca Disaggregated municipal finance data - Slovenia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d53b0b0b-c43c-43b7-af43-f81ba22123ca EXT_RESOURCE Disaggregated municipal finance data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348d0431-bc1b-4356-9af2-fb998954ac52 Disaggregated municipal finance data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=348d0431-bc1b-4356-9af2-fb998954ac52 EXT_RESOURCE Disaggregated municipal finance data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4cb9f6d3-3366-4a23-9507-48d9cc6c3387 Disaggregated municipal finance data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4cb9f6d3-3366-4a23-9507-48d9cc6c3387 EXT_RESOURCE Disaggregated municipal finance data - Switzerland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=95d1c287-805b-42d5-866f-4079482aa160 Disaggregated municipal finance data - Switzerland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=95d1c287-805b-42d5-866f-4079482aa160 EXT_RESOURCE Disaggregated municipal finance data - United States|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6aa1b32b-88ed-4564-9a10-777492c06daa Disaggregated municipal finance data - United States|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6aa1b32b-88ed-4564-9a10-777492c06daa Aggregated and disaggregated municipal government finance Finances des gouvernements municipaux – agrégés et désagrégés The aggregated municipal government finance database (Aggregated MUNIFI) provides a selection of indicators on expenditure, revenue, and debt for the entire municipal government sector in OECD and EU countries. It is complemented by disaggregated data, that is data for each municipality in a given country, which can be downloaded directly from the links below. <br/><br/>The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a> with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/country-profiles/">World Observatory on Subnational Government Finance and Investment.</a> La base de données agrégée sur les finances des gouvernements municipaux (Aggregated MUNIFI) fournit une sélection d'indicateurs sur les dépenses, les recettes et la dette de l'ensemble du secteur des municipalités dans les pays de l'OCDE et de l'UE. Cette base est complétée par des données désagrégées, c'est-à-dire des données pour chaque municipalité d'un pays donné, qui peuvent être téléchargées directement à partir des liens ci-dessous. <br/><br/>La période couverte s'étend de 2010 à 2022 (en fonction de la disponibilité des données). Cette base de données a été créée dans le cadre du projet conjoint OCDE/CE <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm ">Renforcement des cadres analytiques et des données sur les finances publiques et l'emploi public au niveau infranational</a>, dont l'objectif est de collecter, standardiser et diffuser des données comparables de qualité sur les finances et l'emploi des collectivités locales.<br/><br/>Ces données fournissent des informations permettant d'évaluer les capacités et le pouvoir décisionnel des municipalités et des régions, dont le rôle est essentiel dans l'élaboration de politiques locales. Elles permettent également d'effectuer des comparaisons au sein d'un même pays et entre différents pays, mettant en lumière les disparités entre les municipalités en termes de mise en oeuvre de leurs mandats et de leur capacité à générer des recettes propres. Vous trouverez plus d'informations sur les compétences et l'organisation des collectivités territoriales selon les pays dans l'<a href="https://www.sng-wofi.org/country-profiles/">Observatoire mondial des finances et de l'investissements des collectivités territoriales.</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC,COFOG=_Z DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H HIER_CONTEXT Aggregated regional government finance Finances des gouvernements régionaux - agrégés The aggregated regional government finance database (Aggregated REGOFI) provides a selection of indicators on expenditure, revenue, and debt for the entire regional government sector in OECD and EU countries.<br/><br/>The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a> with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/country-profiles/">World Observatory on Subnational Government Finance and Investment.</a> La base de données agrégée sur les finances publiques régionales (Aggregated REGOFI) fournit une sélection d'indicateurs sur les dépenses, les recettes et la dette pour l'ensemble du secteur des gouvernements régionaux/des états fédérés dans les pays de l'OCDE et de l'UE. <br/><br/>La période couverte s'étend de 2010 à 2022 (en fonction de la disponibilité des données). Cette base de données a été créée dans le cadre du projet conjoint OCDE/CE <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm ">Renforcement des cadres analytiques et des données sur les finances publiques et l'emploi public au niveau infranational</a>, dont l'objectif est de collecter, standardiser et diffuser des données comparables de qualité sur les finances et l'emploi des collectivités locales.<br/><br/>Ces données fournissent des informations permettant d'évaluer les capacités et le pouvoir décisionnel des municipalités et des régions, dont le rôle est essentiel dans l'élaboration de politiques locales. Elles permettent également d'effectuer des comparaisons au sein d'un même pays et entre différents pays, mettant en lumière les disparités entre les régions, provinces et états fédérés en termes de mise en oeuvre de leurs mandats et de leur capacité à générer des recettes propres. Vous trouverez plus d'informations sur les compétences et l'organisation des collectivités territoriales selon les pays dans l'<a href="https://www.sng-wofi.org/country-profiles/">Observatoire mondial des finances et de l'investissements des collectivités territoriales.</a> NonProductionDataflow true REF_AREA,TIME_PERIOD,SECTOR LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN CONF_STATUS,OBS_STATUS,UNIT_MULT=0,UNIT_MEASURE=PT_OTE_S13M_TRANSACT NOT_DISPLAYED TIME_PERIOD_START=2023,TIME_PERIOD_END=2023,SECTOR=S1313+S1312,UNIT_MEASURE=XDC,PRICE_BASE=R+_Z,UNIT_MEASURE=USD_PPP+USD_PPP_PS+PT_B1GQ+PT_OTE_S13_TRANSACT DEFAULT COMBINED_UNIT_MEASURE:PRICE_BASE,BASE_PER,UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.CFE.RDG:HCL_SECTOR_SNCF(1.0).H HIER_CONTEXT Subnational government climate finance Flux financiers des Gouvernements Infranationaux en lien avec le climat The Subnational Government Climate Finance database provides comparable data on subnational public climate-significant expenditure and investment, covering the years from 2001 to 2023, for 33 OECD and EU countries. <br/><br/>This database was built using a pioneer methodology developed in the framework of the project “Financing Climate Action in Regions and Cities”, a joint 2022 project between the OECD and the European Commission Directorate-General for Regional and Urban Policy (DG REGIO). <br/><br/>The methodology relies on a refined approach to the COFOG classification from the System of National Accounts. Using the EU taxonomy for sustainability activities, three first-level COFOG functions (economic affairs and housing and community amenities) and 13 second-level COFOG functions (e.g. transport and energy, environmental protection, waste, water management, housing development) were identified as being “climate-significant”, meaning that expenditure and investment in these areas contributes, to some extent, to climate adaptation or mitigation objectives. <br/><br/>For more information on the methodology used and related work on climate finance tracking, please visit: <a href="https://www.oecd.org/en/about/projects/tracking-subnational-government-climate-expenditure.html">Tracking subnational government climate expenditure</a> <br/><br/> La base de données sur les Flux financiers des Gouvernements Infranationaux en lien avec le climat fournit des données comparables sur les dépenses et les investissements des collectivités territoriales ayant une incidence sur le climat. Elle couvre la période 2001–2023 pour 33 pays de l’OCDE et de l’Union européenne. <br/><br/>Cette base de données a été construite à partir d’une méthodologie pionnière développée dans le cadre du projet « Financing Climate Action in Regions and Cities », un projet conjoint mené en 2022 par l’OCDE et la Commission européenne – Direction générale de la politique régionale et urbaine (DG REGIO). <br/><br/>La méthodologie repose sur une approche affinée de la classification COFOG du Système de comptabilité nationale. En s’appuyant sur la Taxonomie Verte de l'UE, trois fonctions COFOG de niveau 1 (affaires économiques, protection de l'environnement, et logement et équipements collectifs) et 13 fonctions COFOG de niveau 2 (parmi lesquelles: transport et énergie, protection de l'environnement, déchets, gestion de l'eau, développement du logement, ...) ont été identifiées comme étant « significatives pour le climat ». Cela signifie que les dépenses et investissements dans ces domaines contribuent, dans une certaine mesure, aux objectifs d’adaptation au changement climatique ou d’atténuation. <br/><br/>Pour plus d'informations sur la méthodologie utilisée et les travaux connexes de l’OCDE sur la finance climat infranationale, vous pouvez visiter la page web : <a href="https://www.oecd.org/fr/about/projects/tracking-subnational-government-climate-expenditure.html">Suivi des dépenses des collectivités territoriales liées au climat</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD,SECTOR,UNIT_MEASURE,COFOG LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AT11+AT21+AT12+AT32+AT22+AT33+AT31+AT13+AT34,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,UNIT_MEASURE=XDC,COFOG=_Z DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,COFOG:OECD.CFE.RDG:HCL_COFOG(1.0).H HIER_CONTEXT Disaggregated regional government finance Finances des gouvernements régionaux – désagrégés The disaggregated regional government finance database (Disaggregated REGOFI) provides a selection of indicators on expenditure, revenue, and debt for individual regions in OECD and EU countries. <br/><br/>The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a> with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/country-profiles/">World Observatory on Subnational Government Finance and Investment.</a> La base de données désagrégées sur les finances publiques régionales (Disaggregated REGOFI) fournit une sélection d'indicateurs sur les dépenses, les recettes et la dette de chaque régions, province et état fédéré des pays de l'OCDE et de l'UE avec des données disponibles. <br/><br/>La période couverte s'étend de 2010 à 2022 (en fonction de la disponibilité des données). Cette base de données a été créée dans le cadre du projet conjoint OCDE/CE <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm ">Renforcement des cadres analytiques et des données sur les finances publiques et l'emploi public au niveau infranational</a>, dont l'objectif est de collecter, standardiser et diffuser des données comparables de qualité sur les finances et l'emploi des collectivités locales.<br/><br/>Ces données fournissent des informations permettant d'évaluer les capacités et le pouvoir décisionnel des municipalités et des régions, dont le rôle est essentiel dans l'élaboration de politiques locales. Elles permettent également d'effectuer des comparaisons au sein d'un même pays et entre différents pays, mettant en lumière les disparités entre les régions, provinces et états fédérés en termes de mise en oeuvre de leurs mandats et de leur capacité à générer des recettes propres. Vous trouverez plus d'informations sur les compétences et l'organisation des collectivités territoriales selon les pays dans l'<a href="https://www.sng-wofi.org/country-profiles/">Observatoire mondial des finances et de l'investissements des collectivités territoriales.</a> NonProductionDataflow true REG,REF_AREA LAYOUT_ROW COFOG,COMBINED_UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED COFOG=GF01+GF02+GF03+GF04+GF05+GF06+GF07+GF08+GF09+GF10,SECTOR=S13M,UNIT_MEASURE=USD_PPP_PS+PT_EXP_SECTOR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SNG-WOFI: Subnational government functional expenditure (COFOG) SNG-WOFI : Dépenses des collectivités territoriales par fonctions (COFOG) This dataset includes data on total expenditure of subnational governments by functions, based on the Classification of the Functions of Government (COFOG). The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données couvre les dépenses des gouvernements infranationaux par fonction, suivant la classification des fonctions des administrations publiques (COFOG), qui comprend dix catégories : services publics généraux ; défense ; ordre et sécurité publics ; affaires économiques ; protection de l'environnement ; logement et équipements collectifs ; santé ; loisirs, culture et religion ; éducation ; et protection sociale.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true REG,REF_AREA LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=E1+E111+E121+R1+R11+R12+D1,SECTOR=S13M,UNIT_MEASURE=USD_PPP_PS+PT_B1GQ+PT_OTE_S13_TRANSACT+PT_OTR_S13_CAT+PT_FD4_S13_INST DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SNG-WOFI: Subnational government expenditure, investment, revenue and debt SNG-WOFI : Dépenses, investissement, recettes et dette des collectivités territoriales This dataset includes data on the main public finance indicators at the subnational level, including expenditure by economic classification, revenue by category, and debt by instrument.<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données couvre les principaux indicateurs de finances publiques au niveau infranational, incluant les dépenses infranationales par classification économique, les recettes infranationales par catégorie (e.g. recettes fiscales, transferts et subventions) et la dette infranationale.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true REG,REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée SNG-WOFI: Number of subnational governments and municipality size SNG-WOFI : Structure des collectivités territoriales This dataset includes data on the size of municipalities and the number of subnational governments in each country, distinguishing between municipal, intermediate and regional governments (when relevant).<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données dénombre les gouvernements infranationaux dans les 135 pays couverts par l’Observatoire - en faisant la distinction entre les niveaux municipaux, intermédiaires et régionaux (le cas échéant) -, et fournit des données sur la taille moyenne des municipalités.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true REG,REF_AREA LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN INCOME,FORM LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SNG-WOFI: Basic socio-economic indicators SNG-WOFI : Indicateurs socio-économiques de base This dataset includes overall socio-economic indicators such as GDP, HDI, investment, unemployment, population, and land area (corresponding to Total Surface Area).<br/><br/>The OECD/UCLG World Observatory on Subnational Government Finance and Investment (SNG-WOFI) initiative is the world's leading source of internationally comparable data and analysis on multi-level governance and subnational finance frameworks. The 2022 edition includes data from 135 countries, covering almost 90% of the world surface area, 93% of the world population and 94% of global GDP.<br/><br/>For more information, please visit our website <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment</a>. Cette base de données comprend des indicateurs socio-économiques tels que la population, la superficie, la part et le taux de croissance de la population urbaine, le PIB, l'Indice de Développement Humain (IDH), ou encore la Formation Brute de Capital Fixe.<br/><br/>L'Observatoire mondial des finances et de l'investissement des collectivités territoriales (SNG-WOFI) de l'OCDE et de l'UCLG est l’une des plus grandes sources de données et d'analyses comparables sur la gouvernance pluri-niveaux et la décentralisation financière au niveau mondial.<br/><br/>L'édition 2022 comprend des données pour 135 pays, correspondant à près de 90 % de la superficie mondiale, 93 % de la population mondiale et 94 % du PIB mondial.<br/><br/>Pour plus d'informations, vous pouvez consulter le site web du SNG-WOFI : <a href="https://www.sng-wofi.org/fr">Observatoire Mondial des Finances et de l'Investissement des Collectivités Territoriales - Organisation de coopération et de développement économiques</a>. NonProductionDataflow true AGE,OCCUPATION,ATTAINMENT_LEV,CONTRACT,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN REF_AREA,SECTOR,COFOG LAYOUT_ROW_SECTION CONF_STATUS,OBS_STATUS,UNIT_MULT=0 NOT_DISPLAYED COFOG=_T,SEX=_T+F+M,MEASURE=SNPE,AGE=_T,ATTAINMENT_LEV=_T,OCCUPATION=_T,CONTRACT=_T,WORK_TIME_ARNGMNT=_T,TIME_PERIOD_START=2021,TIME_PERIOD_END=2021 DEFAULT SECTOR:OECD.CFE.RDG:HCL_SECTOR(1.0).H,WORK_TIME_ARNGMNT:OECD.CFE.RDG:HCL_WORK_TIME_ARNGMNT(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,AGE,OCCUPATION,ATTAINMENT_LEV,CONTRACT,WORK_TIME_ARNGMNT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée EXT_RESOURCE Disaggregated subnational public employment data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=32d751be-60dc-477b-9d77-aeb6b9dda1fc Disaggregated subnational public employment data - All countries|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=32d751be-60dc-477b-9d77-aeb6b9dda1fc EXT_RESOURCE Disaggregated subnational public employment data - Australia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3a560fa-42c3-4e4e-9c76-abd4bb573a13 Disaggregated subnational public employment data - Australia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d3a560fa-42c3-4e4e-9c76-abd4bb573a13 EXT_RESOURCE Disaggregated subnational public employment data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=77cdf521-361d-4d85-8e81-9d97195d5b39 Disaggregated subnational public employment data - Austria|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=77cdf521-361d-4d85-8e81-9d97195d5b39 EXT_RESOURCE Disaggregated subnational public employment data - Belgium|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6debee1e-fe8d-4a14-8539-47cadd30aede Disaggregated subnational public employment data - Belgium|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6debee1e-fe8d-4a14-8539-47cadd30aede EXT_RESOURCE Disaggregated subnational public employment data - Canada|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2565723-4422-4635-b79b-e664693e0a42 Disaggregated subnational public employment data - Canada|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2565723-4422-4635-b79b-e664693e0a42 EXT_RESOURCE Disaggregated subnational public employment data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6813bf18-9eb5-4ff2-ba6d-45ff06b91424 Disaggregated subnational public employment data - Chile|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=6813bf18-9eb5-4ff2-ba6d-45ff06b91424 EXT_RESOURCE Disaggregated subnational public employment data - Estonia|https:/stats.oecd.org/wbos/fileview2.aspx?IDFile=8820a7ed-83b4-4485-ad95-d3342e29256c Disaggregated subnational public employment data - Estonia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8820a7ed-83b4-4485-ad95-d3342e29256c EXT_RESOURCE Disaggregated subnational public employment data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ffe08f90-7452-4bc9-8943-d840ee8bf650 Disaggregated subnational public employment data - Finland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ffe08f90-7452-4bc9-8943-d840ee8bf650 EXT_RESOURCE Disaggregated subnational public employment data - Ireland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed162739-2076-43b0-bf57-7cf803954b57 Disaggregated subnational public employment data - Ireland|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ed162739-2076-43b0-bf57-7cf803954b57 EXT_RESOURCE Disaggregated subnational public employment data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=484405b1-fef9-4ba0-9daf-7ac514e1d799 Disaggregated subnational public employment data - Italy|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=484405b1-fef9-4ba0-9daf-7ac514e1d799 EXT_RESOURCE Disaggregated subnational public employment data - Korea|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=672d33aa-9cd5-4e9e-9d78-d2a22aa0a824 Disaggregated subnational public employment data - Korea|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=672d33aa-9cd5-4e9e-9d78-d2a22aa0a824 EXT_RESOURCE Disaggregated subnational public employment data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=854966a0-5ad6-49ab-96f8-68cf22f57789 Disaggregated subnational public employment data - Latvia|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=854966a0-5ad6-49ab-96f8-68cf22f57789 EXT_RESOURCE Disaggregated subnational public employment data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=91841b5a-ab44-444f-a124-8d039fc73d1c Disaggregated subnational public employment data - Malta|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=91841b5a-ab44-444f-a124-8d039fc73d1c EXT_RESOURCE Disaggregated subnational public employment data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e51a3fbb-49a7-43b9-9402-0c2ed8cf5f54 Disaggregated subnational public employment data - Mexico|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e51a3fbb-49a7-43b9-9402-0c2ed8cf5f54 EXT_RESOURCE Disaggregated subnational public employment data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=59303ad0-1033-4a34-b13e-8f1565d5feec Disaggregated subnational public employment data - Norway|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=59303ad0-1033-4a34-b13e-8f1565d5feec EXT_RESOURCE Disaggregated subnational public employment data - Portgual|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1ce970e2-23cf-4d13-8f42-ebea4925478d Disaggregated subnational public employment data - Portugal|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1ce970e2-23cf-4d13-8f42-ebea4925478d EXT_RESOURCE Disaggregated subnational public employment data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=befb9669-b383-4180-bc8f-d6abb862f3cc Disaggregated subnational public employment data - Spain|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=befb9669-b383-4180-bc8f-d6abb862f3cc EXT_RESOURCE Disaggregated subnational public employment data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7ccd0728-229a-42e1-8527-36a858af87ce Disaggregated subnational public employment data - Sweden|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7ccd0728-229a-42e1-8527-36a858af87ce Aggregated and disaggregated subnational public employment Emploi public des collectivités territoriales – agrégées et désagrégées The pilot database on aggregated subnational public employment (Aggregated SUBEMP) provides a selection of indicators on public employment with a gender perspective for subnational administrations in OECD and EU countries. It is complemented by disaggregated data, that is data for individual subnational governments in a given country, which can be downloaded directly from the links below.<br/><br/>Data was collected for the latest year available with the time coverage ranging from 2019 to 2023 (based on data availability). This database has been produced in the context of the OECD/EU joint project <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm">Strengthening analytical frameworks and data on subnational government finance and public employment</a>, with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment. <br/><br/>This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the <a href="https://www.sng-wofi.org/">World Observatory on Subnational Government Finance and Investment.</a> La base de données pilote sur l'emploi public infranational (Aggregated SUBEMP) fournit une sélection d'indicateurs sur l'emploi public dans les gouvernements infranationaux des pays de l'OCDE et de l'UE, avec une perspective axée sur le genre. La base de données fournit des données agrégées par niveau de gouvernement infranational, et est complétée par des données désagrégées, c'est-à-dire relatives à chaque collectivité territoriale d'un pays donné, qui peuvent être téléchargées directement à partir des liens ci-dessous. <br/><br/>Les données ont été collectées pour la dernière année disponible, la période couverte allant de 2019 à 2023 (en fonction de la disponibilité des données). Cette base de données a été produite dans le cadre du projet conjoint OCDE/UE <a href="https://www.oecd.org/regional/multi-level-governance/strengtheninganalyticalframeworksanddataonsubnationalgovernmentfinanceandpublicemployment.htm ">Renforcement des cadres analytiques et des données sur les finances publiques et l'emploi public au niveau infranational</a>, dont l'objectif est de collecter, standardiser et diffuser des données comparables de qualité sur les finances et l'emploi des collectivités locales. <br/><br/>Ces données fournissent des informations permettant d'évaluer les capacités et le pouvoir décisionnel des municipalités et des régions, dont le rôle est essentiel dans l'élaboration de politiques locales. Elles permettent également d'effectuer des comparaisons au sein d'un même pays et entre différents pays, mettant en lumière les disparités entre les collectivités territoriales en termes de mise en oeuvre de leurs mandats et de leur capacité à générer des recettes propres. Vous trouverez plus d'informations sur les responsabilités des collectivités territoriales dans l'<a href="https://www.sng-wofi.org/">Observatoire mondial des finances et de l'investissements des collectivités territoriales.</a> NonProductionDataflow true COMBINED_MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,UNIT_MEASURE=XDC,PRICES=_Z,COUNTRY NOT_DISPLAYED REF_AREA=AUS DEFAULT COMBINED_MEASURE:MEASURE,TRANSACTION_TYPE,ENTR_SIZE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICES COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Financing SMEs and Entrepreneurs: An OECD Scoreboard Le financement des PME et des entrepreneurs: tableau de bord de l'OCDE <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'>This dataset provides a framework to monitor trends in SMEs&rsquo; and entrepreneurs&rsquo; access to finance and supports the formulation and evaluation of policies in this domain.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'>The dataset presents time series data on SME financing for close to 50 countries. It includes information for a number of core indicators, including SME debt and equity financing, credit conditions, solvency, and policy measures. The set of indicators provides governments and other stakeholders with a consistent framework to evaluate whether SME financing needs are being met, support the design and evaluation of policy measures, and monitor the implications of financial reforms on SME access to finance.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'><strong>Further information:</strong></p> <ul style="margin-bottom:0cm;margin-top:0cm;" type="disc"> <li style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'><a href="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en/full-report/component-11.html#annex-d1e94725-cf7eecfcfa" target="_blank">Definitions and methodology for producing the national Scoreboards</a></li> <li style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'><a href="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en.html" target="_blank">Financing SMEs and Entrepreneurs 2024 | OECD</a></li> </ul> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'>Cet ensemble de donn&eacute;es fournit un cadre d&apos;analyse pour suivre les tendances de l&apos;acc&egrave;s des PME et des entrepreneurs au financement et soutient la formulation et l&apos;&eacute;valuation des politiques dans ce domaine.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'>L&apos;ensemble de donn&eacute;es pr&eacute;sente des s&eacute;ries chronologiques sur le financement des PME pour pr&egrave;s de 50 pays. Il comprend des informations pour un certain nombre d&apos;indicateurs de base, y compris le financement de la dette et des fonds propres des PME, les conditions de cr&eacute;dit, la solvabilit&eacute; et les mesures politiques. L&apos;ensemble des indicateurs fournit aux gouvernements et aux autres parties prenantes un cadre coh&eacute;rent pour &eacute;valuer si les besoins de financement des PME sont satisfaits, pour soutenir la conception et l&apos;&eacute;valuation des mesures politiques et pour suivre les implications des r&eacute;formes financi&egrave;res sur l&apos;acc&egrave;s des PME au financement.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'><strong>Pour en savoir plus :</strong></p> <ul style="margin-bottom:0cm;margin-top:0cm;" type="disc"> <li style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'><a href="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en/full-report/component-11.html#annex-d1e94725-cf7eecfcfa" target="_blank">D&eacute;finitions et m&eacute;thodologie pour l&apos;&eacute;laboration des tableaux de bord nationaux</a></li> <li style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;'><a href="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en.html">Financement des PME et des entrepreneurs 2024 | OCDE</a></li> </ul> NonProductionDataflow true MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SOURCE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A NOT_DISPLAYED SOURCE=TDS,REF_AREA=AUS DEFAULT Domestic tourism Tourisme intérieur Domestic tourism comprises the activities of a resident visitor within the country of reference. Tourisme intérieur comprend les activités d’un visiteur résident à l’intérieur du pays de référence. NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A NOT_DISPLAYED REF_AREA=AUS DEFAULT ACTIVITY:OECD.CFE.TOU:HCL_ACTIVITY(1.0).H HIER_CONTEXT Enterprises and employment in tourism Entreprises et emploi dans le tourisme Data on enterprises and employment in tourism industry. Cette base de données comprend les données sur les entreprises et l’emploi dans l’industrie du tourisme. NonProductionDataflow true PRODUCT LAYOUT_ROW TIME_PERIOD,MEASURE LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A, NOT_DISPLAYED REF_AREA=AUS DEFAULT PRODUCT:OECD.CFE.TOU:HCL_PRODUCT(1.0).H HIER_CONTEXT Internal tourism consumption Consommation du tourisme intérieur Internal Tourism Consumption data are shown as to reflect the structure of Table 4 of the Tourism Satellite Account (TSA). <br> <br> The TSA Framework makes a distinction between tourism expenditure and tourism consumption. Tourism expenditure refers to monetary transactions, whereas tourism consumption also includes other transactions: services associated with vacation accommodation on own account, tourism social transfers in kind and other imputed consumption. However, the latter transactions have to be separately evaluated. Therefore, the data might refer to either consumption or expenditure, depending on the country. <br> <br> Three forms of consumption are distinguished: <br> Domestic tourism consumption: the tourism consumption of a resident visitor within the economy of reference. <br> Inbound tourism consumption: the tourism consumption of a non-resident visitor within the economy of reference. <br> Internal tourism consumption: the tourism consumption of both resident and non-resident visitors within the economy of reference. It is the sum of domestic tourism consumption and inbound tourism consumption. Les données relatives à la consommation touristique interne sont présentées de manière à refléter la structure du tableau 4 du compte satellite du tourisme (CST).<br> <br>Le cadre du CST établit une distinction entre les dépenses touristiques et la consommation touristique. Les dépenses touristiques se réfèrent à des transactions monétaires, tandis que la consommation touristique inclut également d'autres transactions : les services associés à l'hébergement de vacances pour compte propre, les transferts sociaux touristiques en nature et d'autres consommations imputées. Toutefois, ces dernières transactions doivent être évaluées séparément. Par conséquent, les données peuvent se référer soit à la consommation, soit aux dépenses, selon le pays.<br> <br>On distingue trois formes de consommation : Consommation touristique intérieure : la consommation touristique d'un visiteur résident dans l'économie de référence. Consommation touristique entrante : la consommation touristique d'un visiteur non-résident dans l'économie de référence. Consommation touristique interne : la consommation touristique des visiteurs résidents et non-résidents dans l'économie de référence. C'est la somme de la consommation touristique intérieure et de la consommation touristique entrante. NonProductionDataflow true MEASURE,VISITOR_TYPE,ACCOMMODATION_TYPE,COUNTERPART_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,COUNTERPART_AREA=W NOT_DISPLAYED SOURCE=TDS,REF_AREA=AUS DEFAULT Inbound tourism Tourisme récepteur Inbound tourism comprises the activities of a non-resident visitor within the country of reference. Tourisme récepteur comprend les activités d’un visiteur non résident à l’intérieur du pays de référence. NonProductionDataflow true COUNTERPART_AREA,VISITOR_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,COUNTERPART_AREA=W NOT_DISPLAYED REF_AREA=AUS DEFAULT Outbound tourism Tourisme émetteur Outbound tourism comprises the activities of residents of a given country travelling to and staying in places outside their country of residence. Tourisme émetteur comprend les activités des résidents d’un pays donné qui voyagent et séjournent en dehors de leur pays de résidence. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A NOT_DISPLAYED Key tourism economic indicators Indicateurs clés du tourisme Tourism GDP corresponds to the part of GDP generated by all industries in response to internal tourism consumption. A further distinction must be made between direct tourism GDP and indirect tourism GDP. Put simply, tourism direct GDP is generated by industries directly in contact with visitors, while indirect tourism GDP is generated by industries supplying inputs to industries directly in contact with the visitors. The Tourism Staellite Account (TSA) Framework limits its recommendations to the evaluation of direct tourism GDP. Le PIB touristique correspond à la partie du PIB générée par toutes les industries en réponse à la consommation touristique interne. Une distinction supplémentaire doit être faite entre le PIB touristique direct et le PIB touristique indirect. En d'autres termes, le PIB touristique direct est généré par les industries directement en contact avec les visiteurs, tandis que le PIB touristique indirect est généré par les industries qui fournissent des intrants aux industries directement en contact avec les visiteurs. Le cadre du compte satellite du tourisme (CST) limite ses recommandations à l'évaluation du PIB touristique direct. NonProductionDataflow true SERVICE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A NOT_DISPLAYED REF_AREA=AUS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS SERVICE:OECD.CFE.TOU:HCL_SERVICE(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Receipts and expenditure Recettes et dépenses EBOPS 2010 classification for: 2008-onwards: OECD Members <br> <br> EBOPS 2002 methodology for: 2008-09: Belgium, Czech Republic, Denmark, Estonia, Germany, Greece, Hungary, Israël, Italy, Luxembourg, Poland, Portugal, Slovenia, Sweden, Turkey. <br> 2008-12: Finland, France, Iceland, Slovak Republic, Spain <br> 2008-11: Ireland <br> Classification EBOPS 2010 depuis 2008 : Les pays membres de l’OCDE<br> <br>Méthodologie EBOPS 2002 pour 2008-09 : Belgique, Tchèquie, Danemark, Estonie, Allemagne, Grèce, Hongrie, Israël, Italie, Luxembourg, Pologne, Portugal, Slovénie, Suède, Türkiye.<br> <br>2008-12 : Finlande, France, Islande, République slovaque, Espagne<br> <br>2008-11 : Irlande NonProductionDataflow true MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN REF_AREA=AUS+AUT DEFAULT Inventory of Tax Technology Initiatives Inventaire des initiatives de technologie fiscale The <b>Inventory of Tax Technology Initiatives</b> contains information on technology tools and digitalisation solutions implemented by more than 100 national level tax administrations.<br> Its primary purpose is to assist tax administrations in their considerations of possible domestic digitalisation and digital transformation reforms as well as to help identify where future collaboration between tax administrations might be of most value. The inventory seeks to achieve these aims by looking at (i) leading technology tools and digitalisation solutions implemented by tax administrations, and (ii) approaches that will help to advance the overall digital transformation of tax administrations.<br> The underlying data is collected through the <a href="https://www.oecd.org/content/dam/oecd/en/topics/policy-issue-focus/inventory-of-tax-technology-initiatives/global-survey-digitalisation-2024-en.pdf">2024 Global Survey on Digitalisation</a> which is completed by the participating tax administrations. <u>The data is self-reported by tax administrations and has not been reviewed.</u><br> The inventory has been developed by the OECD with the assistance of the Asian Development Bank, the African Tax Administration Forum, the Cercle de Reflexion et d’Echange des Dirigeants des Administrations Fiscale, the Commonwealth Association of Tax Administrators, the Inter-American Center of Tax Administrations, the International Monetary Fund, the Intra-European Organisation of Tax Administrations, the Pacific Islands Tax Administrators Association, and the Study Group on Asia-Pacific Tax Administration and Research.<br> <br> <b><i>Reference area:</b></i> Jurisdiction; <b><i>Measure:</b></i> Data points <b>L'Inventaire des initiatives de technologie fiscale</b> contient des informations sur les outils technologiques et les solutions de digitalisation mises en œuvre par plus de 100 administrations fiscales nationales.<br> Son objectif principal est d’aider les administrations fiscales dans leur réflexion sur d’éventuelles réformes nationales en matière de digitalisation et de transformation numérique, ainsi que d’aider à identifier les domaines dans lesquels une future collaboration entre les administrations fiscales pourrait être la plus utile. L'inventaire vise à atteindre ces objectifs en examinant (i) les principaux outils technologiques et solutions de digitalisation mis en œuvre par les administrations fiscales, et (ii) les approches qui contribueront à faire progresser la transformation numérique globale des administrations fiscales.<br> Les données sous-jacentes sont collectées dans le cadre de <a href="https://www.oecd.org/content/dam/oecd/fr/topics/policy-issue-focus/inventory-of-tax-technology-initiatives/global-survey-digitalisation-2024-fr.pdf">l’Enquête Mondiale sur la Digitalisation, millésime 2024</a>, qui est complétée par les administrations fiscales participantes. <u>Les données sont auto-déclarées par les administrations fiscales et n'ont pas été examinées.</u><br> L'inventaire a été élaboré par l'OCDE avec l'aide de la Banque asiatique de développement, du Forum africain sur l'administration fiscale, du Cercle de réflexion et d'échange des dirigeants des administrations fiscales, de l'Association des administrateurs fiscaux du Commonwealth, du Centre interaméricain des Administrations fiscales, du Fonds monétaire international, de l'Organisation intra-européenne des administrations fiscales, de l'Association des administrateurs fiscaux des îles du Pacifique et du Groupe d'étude sur l'administration et la recherche fiscales en Asie-Pacifique.<br> <br> <b><i>Zone de référence:</b></i> Jurisdiction; <b><i>Mesure:</b></i> Points de données NonProductionDataflow true PROFIT_GROUPING,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,STATISTICAL_OPERATION LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,PROFIT_GROUPING=_T,REF_AREA=AUS DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Country-by-country reporting (CbCR) - Aggregate totals by jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par juridiction - Statistiques de l’impôt sur les sociétés Table I - This table reports variable totals for all sub-groups, obtained by aggregating sub-group variables according to their jurisdiction of tax residence (or country groups,depending on confidentiality). The tables includes three panels aggregating all sub-groups, sub-groups with positive profits and sub-groups with negative profits. Tableau I - Ce tableau présente les totaux des variables pour tous les sous-groupes, obtenus en agrégeant les variables des sous-groupes en fonction de leur juridiction de résidence fiscale (ou des groupes de pays, en fonction de la confidentialité). Le tableau comprend trois panneaux regroupant tous les sous-groupes, les sous-groupes avec des bénéfices positifs et les sous-groupes avec des bénéfices négatifs. NonProductionDataflow true PROFIT_GROUPING,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,PROFIT_GROUPING=_T,REF_AREA=AUS DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Country-by-country reporting (CbCR) - Interquartile mean values by jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Valeurs moyennes interquartiles par juridiction - Statistiques de l’impôt sur les sociétés Table II - This table reports variable interquartile means, which are based on the number of CbCR sub-groups according to their jurisdiction of tax residence (or country groups,depending on confidentiality). The tables includes three panels aggregating all sub-groups, sub-groups with positive profits and sub-groups with negative profits. For the years 2016 and 2017 this table reported variable averages. Tableau II - Ce tableau présente les moyennes interquartiles des variables, qui sont basées sur le nombre de sous-groupes du CbCR en fonction de leur juridiction de résidence fiscale (ou des groupes de pays, en fonction de la confidentialité). Le tableau comprend trois panneaux agrégeant tous les sous-groupes, les sous-groupes avec des bénéfices positifs et les sous-groupes avec des bénéfices négatifs. Pour les années 2016 et 2017, ce tableau présente des moyennes variables. NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD,EFFECTIVE_TAX_RATE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,REF_AREA=AUS DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE group and by tax jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par taux d'imposition des groupes d'entreprises multinationales - Statistiques de l’impôt sur les sociétés Table III - This table reports data by the effective tax rate of the MNE group and by tax jurisdiction. The effective tax rate of an MNE Group is computed by summing Income Tax Accrued – Current Year across all subgroups reported on a CbCR. Then group-level profit (loss) is computed in a similar fashion. The MNE group tax rate is calculated by dividing the computed grouplevel income tax accrued by the computed group-level profit (loss). If the sum of an MNE group’s profits is zero or negative then the MNE group is categorised as having zero or negative profits. If the sum of an MNE group’s income tax accrued is negative and the sum of the MNE group’s profits is positive, then the MNE group is categorised in negative income tax accrued category. Tableau III - Ce tableau présente les données selon le taux d'imposition effectif du groupe d'entreprises multinationales et selon la juridiction fiscale. Le taux d'imposition effectif d'un groupe d'entreprises multinationales est calculé en additionnant l'impôt sur le revenu à payer pour l'année en cours dans tous les sous-groupes déclarés dans un RCCB. Le bénéfice (la perte) au niveau du groupe est ensuite calculé(e) de la même manière. Le taux d'imposition de l'EMN est calculé en divisant l'impôt sur le revenu accumulé au niveau du groupe calculé par le bénéfice (la perte) calculé(e) au niveau du groupe. Si la somme des bénéfices d'un groupe d'entreprises multinationales est nulle ou négative, le groupe d'entreprises multinationales est considéré comme ayant des bénéfices nuls ou négatifs. Si la somme de l'impôt sur le revenu accumulé d'un groupe d'entreprises multinationales est négative et que la somme des bénéfices du groupe d'entreprises multinationales est positive, le groupe d'entreprises multinationales est classé dans la catégorie de l'impôt sur le revenu accumulé négatif. NonProductionDataflow true EFFECTIVE_TAX_RATE,COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,COUNTERPART_AREA=W DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Country-by-country reporting (CbCR) - Aggregate totals by the effective tax rate of the MNE sub-group and by tax jurisdiction - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par taux d'imposition des sous-groupes d'entreprises multinationales - Statistiques de l’impôt sur les sociétés Table IV - This table reports data by the effective tax rate of the MNE sub-group and by tax jurisdiction. The effective tax rate of an MNE sub-group is computed by dividing the sub-group income tax accrued by the sub-group-profit (loss). If the sum of an MNE sub-group’s profits is zero or negative then the MNE sub-group is categorised as having zero or negative profits. If the sum of an MNE sub-group’s income tax accrued is negative and the sum of the MNE sub-group’s profits is positive, then the MNE sub-group is categorised in negative income tax accrued category. Tableau IV - Ce tableau présente les données selon le taux d'imposition effectif du sous-groupe d'entreprises multinationales et selon la juridiction fiscale. Le taux d'imposition effectif d'un sous-groupe d'entreprises multinationales est calculé en divisant l'impôt sur le revenu du sous-groupe par le bénéfice (la perte) du sous-groupe. Si la somme des bénéfices d'un sous-groupe d'entreprises multinationales est nulle ou négative, le sous-groupe d'entreprises multinationales est considéré comme ayant des bénéfices nuls ou négatifs. Si la somme de l'impôt sur le revenu accumulé par un sous-groupe d'entreprises multinationales est négative et que la somme des bénéfices du sous-groupe d'entreprises multinationales est positive, le sous-groupe d'entreprises multinationales est classé dans la catégorie de l'impôt sur le revenu accumulé négatif. NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0 DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Country-by-country reporting (CbCR) - Distribution points of MNE group size - Corporate tax statistics Country-by-country reporting (CbCR) - Points de distribution de la taille des groupes d'entreprises multinationales - Statistiques de l’impôt sur les sociétés Table V - This table reports information on the size of MNE groups filing CbCRs. For the purposes of Table V, the size of an MNE group is defined in terms of three variables: 1. Unrelated Party Revenues 2. Number of Employees 3. Tangible Assets other than Cash and Cash Equivalents. The total size of an MNE group is determined by summing over all sub-groups of an MNE group. Tableau V - Ce tableau fournit des informations sur la taille des groupes d'entreprises multinationales déclarant des RCCB. Aux fins du tableau V, la taille d'un groupe d'entreprises multinationales est définie en fonction de trois variables : 1. les revenus des parties non liées ; 2. le nombre d'employés ; 3. le nombre de salariés. Le nombre d'employés 3. Actifs corporels autres que les espèces et quasi-espèces. La taille totale d'un groupe d'entreprises multinationales est déterminée en additionnant tous les sous-groupes d'un groupe d'entreprises multinationales. NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_AREA,TIME_PERIOD,MNE_SIZE, LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=0,REF_AREA=AUS DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Country-by-country reporting (CbCR) - Aggregate totals by the size of the MNE group and by tax jurisdictions - Corporate tax statistics Country-by-country reporting (CbCR) - Totaux agrégés par taille des groupes d'entreprises multinationales et par juridiction fiscale - Statistiques de l’impôt sur les sociétés Table VI - This table reports data as shown by the size of the MNE group and by tax jurisdiction. The size of the MNE group is calculated by summing unrelated party revenues across the entire group. Tableau VI - Ce tableau présente des données classées par taille de groupe multinational et par juridiction fiscale. La taille du groupe multinational est calculée en additionnant les revenus provenant de transactions avec des parties non liées pour l'ensemble du groupe. NonProductionDataflow true REF_AREA LAYOUT_ROW PRICE_LEVEL LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,STATISTICAL_OPERATION NOT_DISPLAYED EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,LASTNPERIODS=1,PRICE_BASE=Q,MEASURE=CPS,PRICE_LEVEL=BEN_EUR_60 DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Carbon pricing score Score de tarification du carbone The Carbon Pricing Score (CPS) answers the question of how far countries have attained the goal of pricing all energy related carbon emissions in line with carbon costs. The carbon price signal stems from the Effective Carbon Rate (ECR) - the sum of fuel excise taxes, carbon taxes and tradeable permits that effectively put a price on carbon emissions. Progress with carbon pricing is discussed against three benchmarks. The more progress a country has made towards the relevant benchmark value, the higher the CPS. For example, a CPS of 100% against a EUR 60 per tonne CO2 benchmark (CPS60) means that a country or the group of countries prices all carbon emissions from energy use at EUR 60 or more. A CPS of 0% means that the country prices no emissions at all. An intermediate CPS between 0% and 100% means that some emissions are priced, but that not all emissions are priced at a level that equals or exceeds the benchmark.<p>Companion dataset to Effective Carbon Rates (ECR). ECRs measure carbon pricing of CO2-emissions from energy use in more than 70 countries, including 45 OECD and G20 countries, covering over 80% of world emissions. The dataset provides a comprehensive view on carbon pricing, including fuel excise taxes, carbon taxes and tradable emission permit prices. For additional information, see the <a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm">latest Effective Carbon Rates</a> report. Annex A of the first publication of <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> provides a detailed description of the methodology for calculating ECRs.</p> Le score de tarification du carbone (CPS) répond à la question de savoir dans quelle mesure les pays ont atteint l'objectif de tarification de toutes les émissions de carbone liées à l'énergie en fonction du coût du carbone. Le signal du prix du carbone provient du taux effectif sur le carbone (TEC) - la somme des droits d'accise sur sur les combustibles et les carburants, des taxes sur le carbone et des permis des systèmes d'échange de droits d'émission (SEDE) qui fixent effectivement un prix sur les émissions de carbone. Les progrès réalisés en matière de tarification du carbone sont examinés à l'aune de trois critères de référence. Plus un pays a progressé vers la valeur de référence correspondante, plus le CPS est élevé. Par exemple, un CPS de 100 % par rapport à une valeur de référence de 60 euros par tonne de CO2 (CPS60) signifie qu'un pays ou un groupe de pays fixe le prix de toutes les émissions de carbone provenant de l'utilisation de l'énergie à 60 euros ou plus. Un CPS de 0 % signifie que le pays ne fixe aucun prix pour les émissions. Un CPS intermédiaire entre 0 % et 100 % signifie que certaines émissions sont tarifées, mais que toutes les émissions ne sont pas tarifées à un niveau égal ou supérieur à la référence.<p>Donn&eacute;es compl&eacute;mentaires aux Taux Effectifs sur le Carbone (Effective Carbon Rates - ECR). ECRs mesure la tarification du carbone des &eacute;missions de CO2 li&eacute;es &agrave; la consommation d'&eacute;nergie dans plus de 70 pays, dont 45 pays de l'OCDE et du G20, couvrant 80% des &eacute;missions mondiales. L'ensemble de donn&eacute;es fournit une vue compl&egrave;te de la tarification du carbone, y compris lles droits d&rsquo;accise sur les combustibles et les carburants, les taxes sur le carbone et les prix des permis d'&eacute;mission n&eacute;gociables. Pour plus d'informations, consultez la&nbsp;<a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm"> nouvelle Effective Carbon Rates </a>&eacute;dition. Annexe A de la premi&egrave;re publication de <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> fournit une description d&eacute;taill&eacute;e de la m&eacute;thodologie de calcul des ECRs.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW PRICE_LEVEL LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,STATISTICAL_OPERATION NOT_DISPLAYED EMISSIONS_SOURCE=FFUEL,TIME_PERIOD_START=2021,LASTNPERIODS=1,MEASURE=SEP,SECTOR=ENE DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Shares of CO2 emissions from energy priced Part des émissions énergie CO2 tarifées The share of emissions priced indicator shows the share of CO2 emissions from energy within a country or sector with a carbon price that exceeds a certain level. The carbon price signal stems from the Effective Carbon Rate (ECR) - the sum of fuel excise taxes, carbon taxes and tradeable permits that effectively put a price on carbon emissions.<p>Companion dataset to Effective Carbon Rates (ECR). ECRs measure carbon pricing of CO2-emissions from energy use in more than 70 countries, including 45 OECD and G20 countries, covering over 80% of world emissions. The dataset provides a comprehensive view on carbon pricing, including fuel excise taxes, carbon taxes and tradable emission permit prices. For additional information, see the <a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm">latest Effective Carbon Rates</a> report. Annex A of the first publication of <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> provides a detailed description of the methodology for calculating ECRs.</p> L'indicateur de la part des émissions tarifées montre la part des émissions de CO2 provenant de l'utilisation de l'énergie dans un pays ou un secteur dont le prix du carbone dépasse un certain niveau. Le signal du prix du carbone provient du taux effectif sur le carbone (TEC) - la somme des droits d'accise sur les carburants, des taxes sur le carbone et des permis des systèmes d'échange de droits d'émission (SEDE) qui fixent effectivement un prix sur les émissions de carbone.<p>Donn&eacute;es compl&eacute;mentaires aux Taux Effectifs sur le Carbone (Effective Carbon Rates - ECR). ECRs mesure la tarification du carbone des &eacute;missions de CO2 li&eacute;es &agrave; la consommation d'&eacute;nergie dans plus de 70 pays, dont 45 pays de l'OCDE et du G20, couvrant 80% des &eacute;missions mondiales. L'ensemble de donn&eacute;es fournit une vue compl&egrave;te de la tarification du carbone, y compris lles droits d&rsquo;accise sur les combustibles et les carburants, les taxes sur le carbone et les prix des permis d'&eacute;mission n&eacute;gociables. Pour plus d'informations, consultez la&nbsp;<a href="https://www.oecd.org/tax/tax-policy/effective-carbon-rates-2023.htm"> nouvelle Effective Carbon Rates </a>&eacute;dition. Annexe A de la premi&egrave;re publication de <a href="https://www.oecd.org/tax/effective-carbon-rates-9789264260115-en.htm">Effective Carbon Rates (OECD, 2016)</a> fournit une description d&eacute;taill&eacute;e de la m&eacute;thodologie de calcul des ECRs.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE LAYOUT_COLUMN V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_XBRD,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA ETR_TAX_BASIS,REGIME,FREQ,UNIQUE_ID NOT_DISPLAYED ETR_SCENARIO=FIXED,ETR_TAX_TYPE=COMPOSITE,MEASURE=EATR+EMTR,LASTNPERIODS=5 DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Effective tax rates - Corporate tax statistics Taux d'imposition effectifs - Statistiques de l'impôt sur les sociétés This table reports synthetic tax policy indicators calculated on the basis of a prospective, hypothetical investment project. Unlike backward-looking ETRs, they do not incorporate any information about firms' actual tax payments.The OECD methodology has been described in detail in the OECD Taxation Working Paper No. 38 (Hanappi, 2018). Further methodological information is available in the explanatory annex. Ce tableau rapporte des indicateurs synthétiques de politique fiscale calculés sur la base d'un projet d'investissement prospectif et hypothétique. Contrairement aux ETR rétrospectifs, ils n'intègrent aucune information sur les paiements d'impôts effectifs des entreprises.La méthodologie de l'OCDE a été décrite en détail dans le Document de travail de l'OCDE sur la fiscalité n° 38 (Hanappi, 2018). Des informations méthodologiques supplémentaires sont disponibles dans l'annexe explicative. NonProductionDataflow true REF_AREA,REGIME LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN V2/structure/dataflow/OECD.CTP.TPS/DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_XBRD/latest RELATED_DATA ETR_TAX_BASIS,ETR_SCENARIO,FREQ,UNIQUE_ID NOT_DISPLAYED LASTNPERIODS=1 DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Effective tax rates for income based tax incentives - Corporate tax statistics Taux d'imposition effectifs pour les incitations fiscales basées sur les revenus - Statistiques de l'impôt sur les sociétés <p>This table reports synthetic tax policy indicators that capture the effect of income-based R&D tax incentives on firms’ investment costs:</p> <p><ul><li>The EATR for R&D measures the impact of taxation on R&D investments that earn an economic profit.</li> <li>the user cost of capital for R&D measures the return that a firm needs to realise on an R&D investment before tax to offset all costs and taxes that arise from the investment, making zero economic profit.</li></p> <p>Further methodological information is available in the explanatory annex.</p> <p>Ce tableau présente des indicateurs synthétiques de politique fiscale qui rendent compte de l'effet des incitations fiscales à la R&D basées sur les revenus sur les coûts d'investissement des entreprises :</p> <p><ul><li>L'EATR pour la R&D mesure l'impact de la fiscalité sur les investissements en R&D qui génèrent un profit économique.</li> <li>le coût d'usage du capital pour la R&D mesure le rendement qu'une entreprise doit réaliser sur un investissement en R&D avant impôt pour compenser tous les coûts et impôts qui découlent de l'investissement, afin de réaliser un profit économique nul.</li></ul></p> <p>Des informations méthodologiques supplémentaires sont disponibles dans l'annexe explicative.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN V2/structure/dataflow/,/DSD_RDTAX@DF_RDTAX,DSD_RDTAX@DF_RDSUB,DSD_ETR@DF_ETR_BASELINE,DSD_ETR@DF_ETR_IBRD/latest RELATED_DATA ETR_TAX_BASIS,ETR_SCENARIO,REGIME,FREQ,UNIQUE_ID NOT_DISPLAYED LASTNPERIODS=1 DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Effective tax rates for expenditure based tax incentives - Corporate tax statistics Taux d'imposition effectifs pour les incitations fiscales basées sur les dépenses - Statistiques de l'impôt sur les sociétés <p>This table reports synthetic tax policy indicators that capture the effect of expenditure-based R&D tax incentives on firms’ investment costs:</p> <p><ul><li>The EATR for R&D measures the impact of taxation on R&D investments that earn an economic profit.</li> <li>the user cost of capital for R&D measures the return that a firm needs to realise on an R&D investment before tax to offset all costs and taxes that arise from the investment, making zero economic profit.</li></ul></p> <p>Further methodological information is available in the explanatory annex.</p> <p>Ce tableau présente des indicateurs synthétiques de politique fiscale qui rendent compte de l'effet des incitations fiscales à la R&D basées sur les dépenses sur les coûts d'investissement des entreprises :</p> <p><ul><li>L'EATR pour la R&D mesure l'impact de la fiscalité sur les investissements en R&D qui génèrent un profit économique.</li> <li>le coût d'usage du capital pour la R&D mesure le rendement qu'une entreprise doit réaliser sur un investissement en R&D avant impôt pour compenser tous les coûts et impôts qui découlent de l'investissement, afin de réaliser un profit économique nul.</li></ul></p> <p>Des informations méthodologiques supplémentaires sont disponibles dans l'annexe explicative.</p> NonProductionDataflow true EXT_RESOURCE Download OECD ITID in Excel format|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg ITID de l'OCDE au format Excel|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg REF_AREA,INCENTIVE LAYOUT_ROW OBS_ATTRIBUTES LAYOUT_COLUMN TIME_PERIOD,INSTRUMENT LAYOUT_ROW_SECTION SOURCE_LEG,ADD_SOURCE_LEG,LEGAL_TEXT LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,INCENTIVE,MEASURE,QUALIFY_SPEC_EXP NOT_DISPLAYED LASTNPERIODS=1,TIME_PERIOD_START=2022,INSTRUMENT=CIT_EXM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée ACTIVITY:OECD.CTP.TPS:HCL_ACTIVITY_ITID(1.0).H,REF_AREA:OECD.CTP.TPS:HCL_AREA_ITID(1.0).H HIER_CONTEXT ITID - Design features ITID - Caractéristiques de conception <p><strong>Investment Tax Incentives Database (ITID)</strong></p> <p><strong>The complete dataset for all countries, dimensions and years can be downloaded here: <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">OECD Investment Tax Incentives Database</a></strong></p> <p>The OECD Investment Tax Incentives Database provides information on the design, targeting and governance of investment tax incentives in more than 70 economies, primarily developing and emerging. The database covers incentives provided through the corporate income tax (CIT) system at the central government level. Further details on the methodology, scope and data classification are available in <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Building an Investment Tax Incentives Database</a>. Key findings and cross-country comparisons can also be explored through the <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">interactive Dashboard.</a></p> <p>The ITID database is available for two reference years: 2022 (52 economies) and 2024 (71 economies).</p> <p><To facilitate exploration, the data are organised into five main dimensions:</p> <ul> <li>Design features describe how tax relief is provided, including the type of incentive, its duration and key characteristics.</li> <li>Eligibility conditions captures the eligibility criteria that investors or projects must meet to qualify for an incentive.</li> <li>Legal basis documents the legal provisions governing the incentive, including relevant dates.</li> <li>Sustainable development (SD) areas identify incentives whose design features are linked to specific SD areas.</li> <li>Sector targeting identifies when incentives target specific economic sectors.</li> </ul> <p><strong>Base de données sur les incitations fiscales à l'investissement (ITID)</strong></p> <p><strong>L'ensemble complet des données pour tous les pays, toutes les dimensions et toutes les années peut être téléchargé ici : <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">Base de données de l'OCDE sur les incitations fiscales à l'investissement</a></strong></p> <p>La base de données de l’OCDE sur les incitations fiscales à l’investissement fournit des informations sur la conception, le ciblage et la gouvernance des incitations fiscales à l’investissement dans plus de 70 économies, principalement en développement et émergentes. La base de données couvre les incitations accordées par le biais du régime de l’impôt sur les sociétés (IS) au niveau de l’administration centrale. De plus amples détails sur la méthodologie, le champ d’application et la classification des données sont disponibles dans <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Construire une base de données sur les incitations fiscales à l’investissement</a>. Les principales conclusions et les comparaisons entre pays peuvent également être consultées via le <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">tableau de bord interactif.</a></p> <p>La base de données ITID est disponible pour deux années de référence : 2022 (52 économies) et 2024 (71 économies).</p> <p><Afin de faciliter l'exploration, les données sont organisées en cinq dimensions principales :</p> <ul> <li>Les caractéristiques de conception décrivent les modalités d'octroi des allègements fiscaux, notamment le type de mesure incitative, sa durée et ses principales caractéristiques.</li> <li>Les conditions d'éligibilité recouvrent les critères auxquels les investisseurs ou les projets doivent satisfaire pour pouvoir bénéficier d'une mesure incitative.</li> <li>La base juridique présente les dispositions légales régissant l’incitation, y compris les dates pertinentes.</li> <li>Les domaines du développement durable (DD) identifient les incitations dont les caractéristiques de conception sont liées à des domaines spécifiques du DD.</li> <li>Le ciblage sectoriel identifie les cas où les incitations ciblent des secteurs économiques spécifiques.</li> </ul> NonProductionDataflow true EXT_RESOURCE Download OECD ITID in Excel format|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg ITID de l'OCDE au format Excel|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg REF_AREA,INCENTIVE,ACTIVITY LAYOUT_ROW OBS_ATTRIBUTES LAYOUT_COLUMN TIME_PERIOD,INSTRUMENT LAYOUT_ROW_SECTION SOURCE_LEG,ADD_SOURCE_LEG,LEGAL_TEXT LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,INCENTIVE,MEASURE,QUALIFY_SPEC_EXP NOT_DISPLAYED REF_AREA=AGO,LASTNPERIODS=1,ACTIVITY=A DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée ACTIVITY:OECD.CTP.TPS:HCL_ACTIVITY_ITID(1.0).H,REF_AREA:OECD.CTP.TPS:HCL_AREA_ITID(1.0).H HIER_CONTEXT ITID - Eligibility conditions ITID - Conditions d'éligibilité <p><strong>Investment Tax Incentives Database (ITID)</strong></p> <p><strong>The complete dataset for all countries, dimensions and years can be downloaded here: <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">OECD Investment Tax Incentives Database</a></strong></p> <p>The OECD Investment Tax Incentives Database provides information on the design, targeting and governance of investment tax incentives in more than 70 economies, primarily developing and emerging. The database covers incentives provided through the corporate income tax (CIT) system at the central government level. Further details on the methodology, scope and data classification are available in <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Building an Investment Tax Incentives Database</a>. Key findings and cross-country comparisons can also be explored through the <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">interactive Dashboard.</a></p> <p>The ITID database is available for two reference years: 2022 (52 economies) and 2024 (71 economies).</p> <p><To facilitate exploration, the data are organised into five main dimensions:</p> <ul> <li>Design features describe how tax relief is provided, including the type of incentive, its duration and key characteristics.</li> <li>Eligibility conditions captures the eligibility criteria that investors or projects must meet to qualify for an incentive.</li> <li>Legal basis documents the legal provisions governing the incentive, including relevant dates.</li> <li>Sustainable development (SD) areas identify incentives whose design features are linked to specific SD areas.</li> <li>Sector targeting identifies when incentives target specific economic sectors.</li> </ul> <p><strong>Base de données sur les incitations fiscales à l'investissement (ITID)</strong></p> <p><strong>L'ensemble complet des données pour tous les pays, toutes les dimensions et toutes les années peut être téléchargé ici : <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">Base de données de l'OCDE sur les incitations fiscales à l'investissement</a></strong></p> <p>La base de données de l’OCDE sur les incitations fiscales à l’investissement fournit des informations sur la conception, le ciblage et la gouvernance des incitations fiscales à l’investissement dans plus de 70 économies, principalement en développement et émergentes. La base de données couvre les incitations accordées par le biais du régime de l’impôt sur les sociétés (IS) au niveau de l’administration centrale. De plus amples détails sur la méthodologie, le champ d’application et la classification des données sont disponibles dans <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Construire une base de données sur les incitations fiscales à l’investissement</a>. Les principales conclusions et les comparaisons entre pays peuvent également être consultées via le <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">tableau de bord interactif.</a></p> <p>La base de données ITID est disponible pour deux années de référence : 2022 (52 économies) et 2024 (71 économies).</p> <p><Afin de faciliter l'exploration, les données sont organisées en cinq dimensions principales :</p> <ul> <li>Les caractéristiques de conception décrivent les modalités d'octroi des allègements fiscaux, notamment le type de mesure incitative, sa durée et ses principales caractéristiques.</li> <li>Les conditions d'éligibilité recouvrent les critères auxquels les investisseurs ou les projets doivent satisfaire pour pouvoir bénéficier d'une mesure incitative.</li> <li>La base juridique présente les dispositions légales régissant l’incitation, y compris les dates pertinentes.</li> <li>Les domaines du développement durable (DD) identifient les incitations dont les caractéristiques de conception sont liées à des domaines spécifiques du DD.</li> <li>Le ciblage sectoriel identifie les cas où les incitations ciblent des secteurs économiques spécifiques.</li> </ul> NonProductionDataflow true EXT_RESOURCE Download OECD ITID in Excel format|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg ITID de l'OCDE au format Excel|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg REF_AREA,INCENTIVE LAYOUT_ROW OBS_ATTRIBUTES LAYOUT_COLUMN TIME_PERIOD,INSTRUMENT LAYOUT_ROW_SECTION SOURCE_LEG,ADD_SOURCE_LEG,LEGAL_TEXT LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,INCENTIVE,MEASURE,QUALIFY_SPEC_EXP NOT_DISPLAYED LASTNPERIODS=1,TIME_PERIOD_START=2022,INSTRUMENT=CIT_EXM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée ACTIVITY:OECD.CTP.TPS:HCL_ACTIVITY_ITID(1.0).H,REF_AREA:OECD.CTP.TPS:HCL_AREA_ITID(1.0).H HIER_CONTEXT ITID - Legal basis ITID - Base juridique <p><strong>Investment Tax Incentives Database (ITID)</strong></p> <p><strong>The complete dataset for all countries, dimensions and years can be downloaded here: <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">OECD Investment Tax Incentives Database</a></strong></p> <p>The OECD Investment Tax Incentives Database provides information on the design, targeting and governance of investment tax incentives in more than 70 economies, primarily developing and emerging. The database covers incentives provided through the corporate income tax (CIT) system at the central government level. Further details on the methodology, scope and data classification are available in <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Building an Investment Tax Incentives Database</a>. Key findings and cross-country comparisons can also be explored through the <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">interactive Dashboard.</a></p> <p>The ITID database is available for two reference years: 2022 (52 economies) and 2024 (71 economies).</p> <p><To facilitate exploration, the data are organised into five main dimensions:</p> <ul> <li>Design features describe how tax relief is provided, including the type of incentive, its duration and key characteristics.</li> <li>Eligibility conditions captures the eligibility criteria that investors or projects must meet to qualify for an incentive.</li> <li>Legal basis documents the legal provisions governing the incentive, including relevant dates.</li> <li>Sustainable development (SD) areas identify incentives whose design features are linked to specific SD areas.</li> <li>Sector targeting identifies when incentives target specific economic sectors.</li> </ul> <p><strong>Base de données sur les incitations fiscales à l'investissement (ITID)</strong></p> <p><strong>L'ensemble complet des données pour tous les pays, toutes les dimensions et toutes les années peut être téléchargé ici : <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">Base de données de l'OCDE sur les incitations fiscales à l'investissement</a></strong></p> <p>La base de données de l’OCDE sur les incitations fiscales à l’investissement fournit des informations sur la conception, le ciblage et la gouvernance des incitations fiscales à l’investissement dans plus de 70 économies, principalement en développement et émergentes. La base de données couvre les incitations accordées par le biais du régime de l’impôt sur les sociétés (IS) au niveau de l’administration centrale. De plus amples détails sur la méthodologie, le champ d’application et la classification des données sont disponibles dans <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Construire une base de données sur les incitations fiscales à l’investissement</a>. Les principales conclusions et les comparaisons entre pays peuvent également être consultées via le <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">tableau de bord interactif.</a></p> <p>La base de données ITID est disponible pour deux années de référence : 2022 (52 économies) et 2024 (71 économies).</p> <p><Afin de faciliter l'exploration, les données sont organisées en cinq dimensions principales :</p> <ul> <li>Les caractéristiques de conception décrivent les modalités d'octroi des allègements fiscaux, notamment le type de mesure incitative, sa durée et ses principales caractéristiques.</li> <li>Les conditions d'éligibilité recouvrent les critères auxquels les investisseurs ou les projets doivent satisfaire pour pouvoir bénéficier d'une mesure incitative.</li> <li>La base juridique présente les dispositions légales régissant l’incitation, y compris les dates pertinentes.</li> <li>Les domaines du développement durable (DD) identifient les incitations dont les caractéristiques de conception sont liées à des domaines spécifiques du DD.</li> <li>Le ciblage sectoriel identifie les cas où les incitations ciblent des secteurs économiques spécifiques.</li> </ul> NonProductionDataflow true EXT_RESOURCE Download OECD ITID in Excel format|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg ITID de l'OCDE au format Excel|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg REF_AREA,INCENTIVE LAYOUT_ROW OBS_ATTRIBUTES LAYOUT_COLUMN TIME_PERIOD,INSTRUMENT LAYOUT_ROW_SECTION SOURCE_LEG,ADD_SOURCE_LEG,LEGAL_TEXT LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,INCENTIVE,MEASURE,QUALIFY_SPEC_EXP NOT_DISPLAYED LASTNPERIODS=1,TIME_PERIOD_START=2022,INSTRUMENT=CIT_EXM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée ACTIVITY:OECD.CTP.TPS:HCL_ACTIVITY_ITID(1.0).H,REF_AREA:OECD.CTP.TPS:HCL_AREA_ITID(1.0).H HIER_CONTEXT ITID - Sector targeting ITID - Cibles sectorielles <p><strong>Investment Tax Incentives Database (ITID)</strong></p> <p><strong>The complete dataset for all countries, dimensions and years can be downloaded here: <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">OECD Investment Tax Incentives Database</a></strong></p> <p>The OECD Investment Tax Incentives Database provides information on the design, targeting and governance of investment tax incentives in more than 70 economies, primarily developing and emerging. The database covers incentives provided through the corporate income tax (CIT) system at the central government level. Further details on the methodology, scope and data classification are available in <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Building an Investment Tax Incentives Database</a>. Key findings and cross-country comparisons can also be explored through the <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">interactive Dashboard.</a></p> <p>The ITID database is available for two reference years: 2022 (52 economies) and 2024 (71 economies).</p> <p><To facilitate exploration, the data are organised into five main dimensions:</p> <ul> <li>Design features describe how tax relief is provided, including the type of incentive, its duration and key characteristics.</li> <li>Eligibility conditions captures the eligibility criteria that investors or projects must meet to qualify for an incentive.</li> <li>Legal basis documents the legal provisions governing the incentive, including relevant dates.</li> <li>Sustainable development (SD) areas identify incentives whose design features are linked to specific SD areas.</li> <li>Sector targeting identifies when incentives target specific economic sectors.</li> </ul> <p><strong>Base de données sur les incitations fiscales à l'investissement (ITID)</strong></p> <p><strong>L'ensemble complet des données pour tous les pays, toutes les dimensions et toutes les années peut être téléchargé ici : <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">Base de données de l'OCDE sur les incitations fiscales à l'investissement</a></strong></p> <p>La base de données de l’OCDE sur les incitations fiscales à l’investissement fournit des informations sur la conception, le ciblage et la gouvernance des incitations fiscales à l’investissement dans plus de 70 économies, principalement en développement et émergentes. La base de données couvre les incitations accordées par le biais du régime de l’impôt sur les sociétés (IS) au niveau de l’administration centrale. De plus amples détails sur la méthodologie, le champ d’application et la classification des données sont disponibles dans <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Construire une base de données sur les incitations fiscales à l’investissement</a>. Les principales conclusions et les comparaisons entre pays peuvent également être consultées via le <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">tableau de bord interactif.</a></p> <p>La base de données ITID est disponible pour deux années de référence : 2022 (52 économies) et 2024 (71 économies).</p> <p><Afin de faciliter l'exploration, les données sont organisées en cinq dimensions principales :</p> <ul> <li>Les caractéristiques de conception décrivent les modalités d'octroi des allègements fiscaux, notamment le type de mesure incitative, sa durée et ses principales caractéristiques.</li> <li>Les conditions d'éligibilité recouvrent les critères auxquels les investisseurs ou les projets doivent satisfaire pour pouvoir bénéficier d'une mesure incitative.</li> <li>La base juridique présente les dispositions légales régissant l’incitation, y compris les dates pertinentes.</li> <li>Les domaines du développement durable (DD) identifient les incitations dont les caractéristiques de conception sont liées à des domaines spécifiques du DD.</li> <li>Le ciblage sectoriel identifie les cas où les incitations ciblent des secteurs économiques spécifiques.</li> </ul> NonProductionDataflow true EXT_RESOURCE Download OECD ITID in Excel format|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg ITID de l'OCDE au format Excel|https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx|https://upload.wikimedia.org/wikipedia/commons/3/31/Microsoft_Office_Excel_%282013%E2%80%932019%29.svg REF_AREA,INCENTIVE LAYOUT_ROW OBS_ATTRIBUTES LAYOUT_COLUMN TIME_PERIOD,INSTRUMENT LAYOUT_ROW_SECTION SOURCE_LEG,ADD_SOURCE_LEG,LEGAL_TEXT LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,INCENTIVE,MEASURE,QUALIFY_SPEC_EXP NOT_DISPLAYED LASTNPERIODS=1,TIME_PERIOD_START=2022,INSTRUMENT=CIT_EXM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée ACTIVITY:OECD.CTP.TPS:HCL_ACTIVITY_ITID(1.0).H,REF_AREA:OECD.CTP.TPS:HCL_AREA_ITID(1.0).H HIER_CONTEXT ITID - Sustainable development area ITID - Domaine du développement durable <p><strong>Investment Tax Incentives Database (ITID)</strong></p> <p><strong>The complete dataset for all countries, dimensions and years can be downloaded here: <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">OECD Investment Tax Incentives Database</a></strong></p> <p>The OECD Investment Tax Incentives Database provides information on the design, targeting and governance of investment tax incentives in more than 70 economies, primarily developing and emerging. The database covers incentives provided through the corporate income tax (CIT) system at the central government level. Further details on the methodology, scope and data classification are available in <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Building an Investment Tax Incentives Database</a>. Key findings and cross-country comparisons can also be explored through the <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">interactive Dashboard.</a></p> <p>The ITID database is available for two reference years: 2022 (52 economies) and 2024 (71 economies).</p> <p><To facilitate exploration, the data are organised into five main dimensions:</p> <ul> <li>Design features describe how tax relief is provided, including the type of incentive, its duration and key characteristics.</li> <li>Eligibility conditions captures the eligibility criteria that investors or projects must meet to qualify for an incentive.</li> <li>Legal basis documents the legal provisions governing the incentive, including relevant dates.</li> <li>Sustainable development (SD) areas identify incentives whose design features are linked to specific SD areas.</li> <li>Sector targeting identifies when incentives target specific economic sectors.</li> </ul> <p><strong>Base de données sur les incitations fiscales à l'investissement (ITID)</strong></p> <p><strong>L'ensemble complet des données pour tous les pays, toutes les dimensions et toutes les années peut être téléchargé ici : <a href="https://webfs-ctp.oecd.org/files/.Stat/DF_CTS/oecd_itid_database.xlsx">Base de données de l'OCDE sur les incitations fiscales à l'investissement</a></strong></p> <p>La base de données de l’OCDE sur les incitations fiscales à l’investissement fournit des informations sur la conception, le ciblage et la gouvernance des incitations fiscales à l’investissement dans plus de 70 économies, principalement en développement et émergentes. La base de données couvre les incitations accordées par le biais du régime de l’impôt sur les sociétés (IS) au niveau de l’administration centrale. De plus amples détails sur la méthodologie, le champ d’application et la classification des données sont disponibles dans <a href="https://www.oecd.org/en/publications/building-an-investment-tax-incentives-database_62e075a9-en.html">Construire une base de données sur les incitations fiscales à l’investissement</a>. Les principales conclusions et les comparaisons entre pays peuvent également être consultées via le <a href="https://www.oecd.org/en/data/dashboards/investment-tax-incentives.html">tableau de bord interactif.</a></p> <p>La base de données ITID est disponible pour deux années de référence : 2022 (52 économies) et 2024 (71 économies).</p> <p><Afin de faciliter l'exploration, les données sont organisées en cinq dimensions principales :</p> <ul> <li>Les caractéristiques de conception décrivent les modalités d'octroi des allègements fiscaux, notamment le type de mesure incitative, sa durée et ses principales caractéristiques.</li> <li>Les conditions d'éligibilité recouvrent les critères auxquels les investisseurs ou les projets doivent satisfaire pour pouvoir bénéficier d'une mesure incitative.</li> <li>La base juridique présente les dispositions légales régissant l’incitation, y compris les dates pertinentes.</li> <li>Les domaines du développement durable (DD) identifient les incitations dont les caractéristiques de conception sont liées à des domaines spécifiques du DD.</li> <li>Le ciblage sectoriel identifie les cas où les incitations ciblent des secteurs économiques spécifiques.</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS NOT_DISPLAYED EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,PRICE_BASE=Q,MEASURE=FUETAX+CARBTAX+MPERPRI+AVPERPRI+EACR+ECRATE+SUBSID+NETECR,SECTOR=_T DEFAULT UNIT_MEASURE,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Net effective carbon rates Taux nets effectifs sur le carbone The Effective Carbon Rate (ECR) is the sum of fuel excise taxes, carbon taxes and tradable emission permits. Together, these effectively put a price on carbon emissions. The Net ECR equals the ECR minus fossil fuel subsidies (i.e. budgetary transfers that decrease pre-tax fossil fuel prices).<p>A dataset of the Carbon Pricing and Energy Taxation (CPET) database.</p><p>Please cite the database as: OECD (2026), Carbon Pricing and Energy Taxation database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (accessed on Day Month Year)</p><p>The database is designed to track developments in energy taxation and carbon pricing across a broad set of countries. It spans 78 countries, covering approximately 70% of global greenhouse gas (GHG) emissions and energy use. Carbon pricing instruments, i.e. carbon taxes and emissions trading systems (ETSs), as well as energy taxes and subsidies, are detailed by country, sector and energy product. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross-country and cross-sector comparisons, helping policy makers keep track of progress made and identify opportunities for reform.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> Le taux effectif sur le carbone (TEC) est la somme des les droits d’accise sur les combustibles et les carburants, des taxes sur le carbone et des permis des systèmes d'échange de droits d'émission (SEDE) qui donnent un prix aux émissions de carbone. Le TEC net est égal à le TEC moins les subventions aux combustibles fossiles (c'est-à-dire les transferts budgétaires qui diminuent les prix des combustibles fossiles avant impôt).<p> Ensemble de données issues de la base de données sur la tarification du carbone et la fiscalité de l'énergie - (CPET) database </p><p> Veuillez citer la base de données comme suit : OCDE (2026), Base de données sur la tarification du carbone et la fiscalité de l’énergie - (CPET) database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (consulté le jour mois année)</p><p> La base de données est conçue pour suivre l’évolution de la fiscalité de l’énergie et de la tarification du carbone dans un large ensemble de pays. Il couvre 78 pays, représentant environ 70% des émissions mondiales de gaz à effet de serre (GES) et de la consommation mondiale d’énergie. Les instruments de tarification du carbone, c’est-à-dire les taxes sur le carbone et les systèmes d’échange de droits d’émission (SEDE), ainsi que les taxes et les subventions sur l’énergie, sont détaillés par pays, par secteur et par produit énergétique. L’utilisation d’une méthodologie commune garantit la comparabilité entre pays. Des indicateurs synthétiques facilitent les comparaisons internationales et intersectorielles, aidant les décideurs à suivre les progrès accomplis et à identifier des opportunités de réforme.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER NOT_DISPLAYED EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNOBSERVATIONS=2,STATISTICAL_OPERATION=MEANW,MEASURE=FUETAX+CARBTAX+MPERPRI+EXPCARB+ECRATE+SUBSID+NETECR,SECTOR=_T,PRICE_LEVEL=EUR_GT0 DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Shares of emissions priced Part des émissions de GES tarifées The share of emissions priced indicator shows the share of greenhouse gas (GHG) emissions within a country or sector with a carbon price that exceeds a certain level. The carbon price signal stems from the Net Effective Carbon Rate (ECR) - the sum of fuel excise taxes, carbon taxes and tradable emission permits that effectively put a price on carbon emissions, minus fossil fuel subsidies (i.e. budgetary transfers that decrease pre-tax fossil fuel prices).<p>A dataset of the Carbon Pricing and Energy Taxation (CPET) database.</p><p>Please cite the database as: OECD (2026), Carbon Pricing and Energy Taxation database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (accessed on Day Month Year)</p><p>The database is designed to track developments in energy taxation and carbon pricing across a broad set of countries. It spans 78 countries, covering approximately 70% of global greenhouse gas (GHG) emissions and energy use. Carbon pricing instruments, i.e. carbon taxes and emissions trading systems (ETSs), as well as energy taxes and subsidies, are detailed by country, sector and energy product. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross-country and cross-sector comparisons, helping policy makers keep track of progress made and identify opportunities for reform.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> L'indicateur de la part des émissions tarifées montre la part des émissions de gaz à effet de serre (GES) dans un pays ou un secteur dont le prix du carbone dépasse un certain niveau. Le signal du prix du carbone provient du taux effectif sur le carbone (TEC net) - la somme des droits d'accise sur les combustibles et les carburants, des taxes sur le carbone et des permis des systèmes d'échange de droits d'émission (SEDE) qui fixent effectivement un prix sur les émissions de carbone, moins les subventions aux combustibles fossiles (c'est-à-dire les transferts budgétaires qui diminuent les prix des combustibles fossiles avant impôt).<p> Ensemble de données issues de la base de données sur la tarification du carbone et la fiscalité de l'énergie - (CPET) database </p><p> Veuillez citer la base de données comme suit : OCDE (2026), Base de données sur la tarification du carbone et la fiscalité de l’énergie - (CPET) database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (consulté le jour mois année)</p><p> La base de données est conçue pour suivre l’évolution de la fiscalité de l’énergie et de la tarification du carbone dans un large ensemble de pays. Il couvre 78 pays, représentant environ 70% des émissions mondiales de gaz à effet de serre (GES) et de la consommation mondiale d’énergie. Les instruments de tarification du carbone, c’est-à-dire les taxes sur le carbone et les systèmes d’échange de droits d’émission (SEDE), ainsi que les taxes et les subventions sur l’énergie, sont détaillés par pays, par secteur et par produit énergétique. L’utilisation d’une méthodologie commune garantit la comparabilité entre pays. Des indicateurs synthétiques facilitent les comparaisons internationales et intersectorielles, aidant les décideurs à suivre les progrès accomplis et à identifier des opportunités de réforme.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,PRICE_BASE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE=_Z,BASE_PER=_Z NOT_DISPLAYED EMISSIONS_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,SECTOR=ENE,PRICE_LEVEL=BEN_EUR_0 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Revenue forgone and net effective carbon rates Recettes perdues et taux nets effectifs sur le carbone The revenue forgone indicator estimates the fiscal revenue that is forgone for not pricing carbon emissions at a given benchmark. This indicator, calculated at prevailing net effective carbon rates, can be used to approximate fossil fuel support provided by countries.<p>A dataset of the Carbon Pricing and Energy Taxation (CPET) database.</p><p>Please cite the database as: OECD (2026), Carbon Pricing and Energy Taxation database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (accessed on Day Month Year)</p><p>The database is designed to track developments in energy taxation and carbon pricing across a broad set of countries. It spans 78 countries, covering approximately 70% of global greenhouse gas (GHG) emissions and energy use. Carbon pricing instruments, i.e. carbon taxes and emissions trading systems (ETSs), as well as energy taxes and subsidies, are detailed by country, sector and energy product. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross-country and cross-sector comparisons, helping policy makers keep track of progress made and identify opportunities for reform.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> L'indicateur de recettes perdues estime le manque à gagner fiscal lié à l'absence de tarification des émissions de carbone à un certain niveau de référence. Cet indicateur, calculé sur la base des taux nets effectifs sur le carbone en vigueur, peut être utilisé pour estimer les aides aux combustibles fossiles accordées par les pays.<p> Ensemble de données issues de la base de données sur la tarification du carbone et la fiscalité de l'énergie - (CPET) database </p><p> Veuillez citer la base de données comme suit : OCDE (2026), Base de données sur la tarification du carbone et la fiscalité de l’énergie - (CPET) database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (consulté le jour mois année)</p><p> La base de données est conçue pour suivre l’évolution de la fiscalité de l’énergie et de la tarification du carbone dans un large ensemble de pays. Il couvre 78 pays, représentant environ 70% des émissions mondiales de gaz à effet de serre (GES) et de la consommation mondiale d’énergie. Les instruments de tarification du carbone, c’est-à-dire les taxes sur le carbone et les systèmes d’échange de droits d’émission (SEDE), ainsi que les taxes et les subventions sur l’énergie, sont détaillés par pays, par secteur et par produit énergétique. L’utilisation d’une méthodologie commune garantit la comparabilité entre pays. Des indicateurs synthétiques facilitent les comparaisons internationales et intersectorielles, aidant les décideurs à suivre les progrès accomplis et à identifier des opportunités de réforme.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,PRICE_LEVEL,CURRENCY,FREQ,DECIMALS NOT_DISPLAYED ENERGY_SOURCE=_T,TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,PRICE_BASE=Q,MEASURE=FUETAX+CARBTAX+ELETAX+MPERPRI+EER+SUBSID+ELESUBS+NETEER,SECTOR=ENE DEFAULT UNIT_MEASURE,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS ENERGY_SOURCE:OECD.CTP.TPS:HCL_ENERGY_SOURCE_TAXENV(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Net effective energy rates Taux nets effectifs sur l'énergie The Effective Energy Rate (EER) is the sum of fuel excise taxes, carbon taxes, electricity excise taxes and tradeable emission permits. Together, these effectively put a price on energy use. The Net EER equals the EER minus fossil fuel and electricity subsidies that decrease pre-tax energy prices. Electricity excise taxes and subsidies generally do not treat fossil fuels in a differential manner compared to clean sources and are therefore excluded from the other indicator (Net ECR).<p>A dataset of the Carbon Pricing and Energy Taxation (CPET) database.</p><p>Please cite the database as: OECD (2026), Carbon Pricing and Energy Taxation database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (accessed on Day Month Year)</p><p>The database is designed to track developments in energy taxation and carbon pricing across a broad set of countries. It spans 78 countries, covering approximately 70% of global greenhouse gas (GHG) emissions and energy use. Carbon pricing instruments, i.e. carbon taxes and emissions trading systems (ETSs), as well as energy taxes and subsidies, are detailed by country, sector and energy product. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross-country and cross-sector comparisons, helping policy makers keep track of progress made and identify opportunities for reform.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> Le taux effectif sur l'énergie (TEE) est la somme des taxes sur les combustibles et les carburants, des taxes sur le carbone, des taxes sur l'électricité et des permis des systèmes d'échange de droits d'émission (SEDE) qui donnent un prix sur la consommation d'énergie. Le TEE net est égal au TEE moins les subventions aux combustibles fossiles et à l'électricité qui diminuent les prix de l'énergie avant impôt. Les taxes d'accise sur l'électricité et les subventions ne traitent généralement pas les combustibles fossiles de manière différenciée par rapport aux sources propres et sont donc exclues de l'indicateur du TEE net.<p> Ensemble de données issues de la base de données sur la tarification du carbone et la fiscalité de l'énergie - (CPET) database </p><p> Veuillez citer la base de données comme suit : OCDE (2026), Base de données sur la tarification du carbone et la fiscalité de l’énergie - (CPET) database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (consulté le jour mois année)</p><p> La base de données est conçue pour suivre l’évolution de la fiscalité de l’énergie et de la tarification du carbone dans un large ensemble de pays. Il couvre 78 pays, représentant environ 70% des émissions mondiales de gaz à effet de serre (GES) et de la consommation mondiale d’énergie. Les instruments de tarification du carbone, c’est-à-dire les taxes sur le carbone et les systèmes d’échange de droits d’émission (SEDE), ainsi que les taxes et les subventions sur l’énergie, sont détaillés par pays, par secteur et par produit énergétique. L’utilisation d’une méthodologie commune garantit la comparabilité entre pays. Des indicateurs synthétiques facilitent les comparaisons internationales et intersectorielles, aidant les décideurs à suivre les progrès accomplis et à identifier des opportunités de réforme.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0,CURRENCY,FREQ,DECIMALS,PRICE_BASE,BASE_PER,PRICE_LEVEL,ENERGY_SOURCE,SECTOR NOT_DISPLAYED TIME_PERIOD_START=2021,LASTNPERIODS=1,STATISTICAL_OPERATION=MEANW,MEASURE=ETREV+FEXREV+CTAXREV+ETSREV+ELEREV+FSUBS+ELESUBS+NETREV+POTREV+NETCPREV+SUBRPOT+FPERMPOT+CBRPOT60+CBRPOT120+TREFPOT DEFAULT UNIT_MEASURE UNIT_MEASURE_CONCEPTS Net energy tax revenues and reform potential Recettes nettes des taxes sur l'énergie et potentiel de réforme Revenue potential from fossil fuel subsidy and carbon price reform shows how much revenues would increase if Net ECRs were raised to reach a carbon benchmark of EUR 120 per tonne of CO2 for all fossil fuels. Net energy tax revenues are a bottom-up estimate of the net revenues resulting from taxes and subsidies on energy, and the revenues from auctioning emissions permits for energy-related CO2.<p>A dataset of the Carbon Pricing and Energy Taxation (CPET) database.</p><p>Please cite the database as: OECD (2026), Carbon Pricing and Energy Taxation database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (accessed on Day Month Year)</p><p>The database is designed to track developments in energy taxation and carbon pricing across a broad set of countries. It spans 78 countries, covering approximately 70% of global greenhouse gas (GHG) emissions and energy use. Carbon pricing instruments, i.e. carbon taxes and emissions trading systems (ETSs), as well as energy taxes and subsidies, are detailed by country, sector and energy product. The use of a common methodology ensures comparability across countries. Summary indicators facilitate cross-country and cross-sector comparisons, helping policy makers keep track of progress made and identify opportunities for reform.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> Le potentiel de recettes découlant de la réforme des subventions aux combustibles fossiles et du prix du carbone montre l'augmentation des recettes si les TECs nets (Net ECRs) étaient augmentés pour atteindre un niveau de référence de 120 EUR par tonne de CO2 pour tous les combustibles fossiles. Les recettes fiscales nettes de l'énergie sont une estimation ascendante des recettes nettes résultant des taxes et des subventions sur l'énergie, ainsi que des recettes provenant de la mise aux enchères des permis d'émission de CO2 liés à l'énergie.<p> Ensemble de données issues de la base de données sur la tarification du carbone et la fiscalité de l'énergie - (CPET) database </p><p> Veuillez citer la base de données comme suit : OCDE (2026), Base de données sur la tarification du carbone et la fiscalité de l’énergie - (CPET) database, <a href="https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html">https://www.oecd.org/content/oecd/en/data/datasets/carbon-pricing-and-energy-taxation-database.html</a> (consulté le jour mois année)</p><p> La base de données est conçue pour suivre l’évolution de la fiscalité de l’énergie et de la tarification du carbone dans un large ensemble de pays. Il couvre 78 pays, représentant environ 70% des émissions mondiales de gaz à effet de serre (GES) et de la consommation mondiale d’énergie. Les instruments de tarification du carbone, c’est-à-dire les taxes sur le carbone et les systèmes d’échange de droits d’émission (SEDE), ainsi que les taxes et les subventions sur l’énergie, sont détaillés par pays, par secteur et par produit énergétique. L’utilisation d’une méthodologie commune garantit la comparabilité entre pays. Des indicateurs synthétiques facilitent les comparaisons internationales et intersectorielles, aidant les décideurs à suivre les progrès accomplis et à identifier des opportunités de réforme.</p><p><a href="https://doi.org/10.1787/279e049e-en">Net effective carbon rates</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Mandatory disclosure rules - Corporate tax statistics Règles de divulgation obligatoire - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>The 2015 BEPS Action 12 report identified the lack of timely, comprehensive and relevant information on aggressive tax planning strategies as one of the main challenges faced by tax authorities worldwide. The report recommended the design of rules requiring taxpayers and/or advisers to disclose aggressive tax planning arrangements. These mandatory disclosure rules (MDRs) are intended to provide tax administrations with early information about such schemes, enabling them to respond more rapidly to emerging risks and target resources more effectively. The OECD gathers information on progress related to the implementation of Action 12, namely, whether a jurisdiction has MDRs in place and, if so, the main details of the rules including:</p><ul><li>the types of taxes covered (e.g. CIT, personal income tax, capital gains tax, VAT)</li><li>the parties obliged to report</li><li>the reportable transactions, schemes or arrangements under the MDR</li><li>the information that must be disclosed to the tax authorities under the MDR</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/en/publications/mandatory-disclosure-rules-action-12-2015-final-report_9789264241442-en.html" target="_blank">Mandatory Disclosure Rules under Action 12 - 2015 Final Report</a></div> <div class="col-sm-12"><p>Le rapport BEPS Action 12 de 2015 a identifié le manque d'informations opportunes, complètes et pertinentes sur les stratégies de planification fiscale agressive comme l'un des principaux défis auxquels sont confrontées les autorités fiscales du monde entier. Le rapport recommandait l'élaboration de règles obligeant les contribuables et/ou les conseillers à divulguer les dispositifs de planification fiscale agressive. Ces règles de divulgation obligatoire (MDR) visent à fournir aux administrations fiscales des informations précoces sur ces mécanismes, leur permettant ainsi de réagir plus rapidement aux risques émergents et de cibler plus efficacement leurs ressources. L'OCDE recueille des informations sur les progrès réalisés dans la mise en œuvre de l'action 12, à savoir si une juridiction a mis en place des MDR et, dans l'affirmative, les principaux détails de ces règles, notamment :</ p><ul><li>les types d'impôts concernés (par exemple, l'impôt sur les sociétés, l'impôt sur le revenu des personnes physiques, l'impôt sur les plus-values, la TVA)</li><li>les parties tenues de déclarer</li><li>les transactions, montages ou arrangements à déclarer en vertu des MDR</li><li>les informations qui doivent être divulguées aux autorités fiscales en vertu des MDR</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/en/publications/mandatory-disclosure-rules-action-12-2015-final-report_9789264241442-en.html" target="_blank">Mandatory Disclosure Rules under Action 12 - 2015 Final Report</a></div> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Hybrid mismatch arrangements - Corporate tax statistics Dispositifs hybrides non concordants - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>The 2015 BEPS Action 2 Final report and the Branch Mismatch Arrangements Report sets out recommendations to neutralise the effects of hybrid mismatch arrangements that exploit differences in the tax treatment of instruments or entities between jurisdictions. Such arrangements can result in double non-taxation, double deductions or long-term deferral of tax. The Action recommends changes to domestic law and treaty provisions to ensure that payments are either included in the taxable income of the recipient or denied as a deduction to the payer. Recommendations in the branch report aimed to neutralise mismatches arising from differences in the way the branch and head office account for a payment made by or to the branch.The OECD gathers information on progress related to the implementation of Action 2, namely, whether a jurisdiction has hybrid mismatch arrangements in place and, if so, the types of measures in place in the jurisdiction including:</p><ul><li>hybrid financial instrument rules (denial of deduction or inclusion of income where mismatch arises)</li><li>hybrid entity rules (addressing payments by or to hybrid entities, including reverse hybrids)</li><li>imported mismatch rules (neutralising mismatches whose effect is imported into a third jurisdiction)</li><li>dual resident payer rules (denying duplicate deductions where an entity is resident in more than one jurisdiction)</li><li>treaty changes to ensure that benefits are only available where income is fully taxed in at least one jurisdiction</li><li>linking rules that coordinate the tax treatment in the payer and payee jurisdictions</li><li>branch recommendations (e.g. branch payee mismatch rule, deemed branch payment rule, branch double deduction rule)</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/en/publications/2015/10/neutralising-the-effects-of-hybrid-mismatch-arrangements-action-2-2015-final-report_g1g58cdf.html" target="_blank">BEPS Action 2 Final Report</a><br><a href="https://www.oecd.org/en/publications/2017/07/neutralising-the-effects-of-branch-mismatch-arrangements-action-2_g1g7b94b.html" target="_blank">Neutralising the Effects of Branch Mismatch Arrangements, Action 2</a></div> <div class="col-sm-12"><p>Le rapport final de l'action 2 du BEPS 2015 et le rapport sur les dispositifs de décalage entre succursales formulent des recommandations visant à neutraliser les effets des dispositifs hybrides qui exploitent les différences de traitement fiscal des instruments ou des entités entre les juridictions. De tels dispositifs peuvent entraîner une double non-imposition, des doubles déductions ou un report d'impôt à long terme. L'action recommande de modifier les dispositions du droit interne et des conventions fiscales afin de garantir que les paiements soient soit inclus dans le revenu imposable du bénéficiaire, soit refusés en tant que déduction au payeur. Les recommandations du rapport sur les succursales visaient à neutraliser les asymétries résultant des différences dans la manière dont la succursale et le siège social comptabilisent un paiement effectué par ou à la succursale. L'OCDE recueille des informations sur les progrès réalisés dans la mise en œuvre de l'action 2, à savoir si une juridiction a mis en place des dispositifs de traitement des asymétries hybrides et, dans l'affirmative, les types de mesures en vigueur dans la juridiction, notamment :</p><ul><li>règles relatives aux instruments financiers hybrides (refus de déduction ou inclusion du revenu en cas de décalage)</li><li>règles relatives aux entités hybrides (traitant des paiements effectués par ou à des entités hybrides, y compris les hybrides inversés)</li><li>règles relatives aux décalages importés (neutralisant les décalages dont l'effet est importé dans une troisième juridiction)</li><li>règles relatives aux payeurs à double résidence (refus de déductions doubles lorsqu'une entité est résidente dans plusieurs juridictions)</li><li>modifications des conventions fiscales visant à garantir que les avantages ne sont accordés que lorsque les revenus sont pleinement imposés dans au moins une juridiction</li><li>règles de liaison qui coordonnent le traitement fiscal dans les juridictions du payeur et du bénéficiaire</li><li>recommandations relatives aux succursales (par exemple, règle relative aux asymétries entre succursales bénéficiaires, règle relative aux paiements réputés effectués par les succursales, règle relative à la double déduction des succursales)</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/en/publications/2015/10/neutralising-the-effects-of-hybrid-mismatch-arrangements-action-2-2015-final-report_g1g58cdf.html" target="_blank">BEPS Action 2 Final Report</a><br><a href="https://www.oecd.org/en/publications/2017/07/neutralising-the-effects-of-branch-mismatch-arrangements-action-2_g1g7b94b.html" target="_blank">Neutralising the Effects of Branch Mismatch Arrangements, Action 2</a></div> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE LAYOUT_COLUMN Country-by-country reporting (CbCR) requirements - Corporate tax statistics Exigences de déclaration pays par pays - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>This table reports an overview for MNEs and tax administrations as to which members of the OECD/G20 Inclusive Framework on BEPS (Inclusive Framework) have introduced a CbC reporting obligation and basic facts concerning when these obligations come into effect and how they operate.<p>Under BEPS Action 13, all large multinational enterprises (MNEs) are required to prepare a country-by-country (CbC) report with aggregate data on the global allocation of income, profit, taxes paid and economic activity among tax jurisdictions in which it operates. This CbC report is shared with tax administrations in these jurisdictions, for use in high level transfer pricing and BEPS risk assessments.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action13/" target="_blank">BEPS Action 13 Country-by-Country Reporting</a></div> <div class="col-sm-12"><p>Dans le cadre de l'action 13 du BEPS, toutes les grandes entreprises multinationales (EMN) sont tenues de préparer un rapport pays par pays (CbC) contenant des données agrégées sur la répartition mondiale des revenus, des bénéfices, des impôts payés et de l'activité économique entre les juridictions fiscales dans lesquelles elles exercent leurs activités. This CbC report is shared with tax administrations in these jurisdictions, for use in high level transfer pricing and BEPS risk assessments. Cette base de données fournit aux entreprises multinationales et aux administrations fiscales une vue d'ensemble des membres du Cadre inclusif OCDE/G20 sur le BEPS (Cadre inclusif) qui ont introduit une obligation de déclaration CbC, ainsi que des informations de base concernant la date d'entrée en vigueur de ces obligations et leur mode de fonctionnement.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action13/" target="_blank">BEPS Action 13 Country-by-Country Reporting</a></div> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME,FREQ NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Controlled foreign company rules - Corporate tax statistics Règles relatives aux sociétés étrangères contrôlées - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>The 2015 BEPS Action 3 report set out recommended approaches to the development of controlled foreign company (CFC) rules to ensure the taxation of certain categories of MNE income in the jurisdiction of the parent company in order to counter certain offshore structures that result in no or indefinite deferral of taxation. Comprehensive and effective CFC rules have the effect of reducing the incentive to shift profits from a market jurisdiction into a low-tax jurisdiction.</p><p>The OECD gathers information on progress related to the implementation of Action 3, namely:</p><ul><li>whether a jurisdiction has CFC rules in place;</li><li>the definition of CFC income,</li><li>whether CFC rules include a substantial economic activity test and, if so, the nature of the test, and, finally, whether any exceptions apply.</li></ul><p>In general, a CFC is defined as a foreign company that is either directly or indirectly controlled by a resident taxpayer. Jurisdictions apply a variety of criteria to determine control. Some approaches make reference to voting rights held by resident taxpayers or to shareholder value held by resident taxpayers, while others stipulate that a foreign company is a CFC if it carries out its operations in a low-tax jurisdiction and others base CFC designation on a taxation test (i.e., if the foreign company does not pay tax in its jurisdiction of residence). Jurisdictions also vary in their definitions of CFC income, with some applying CFC rules to any type of income while others apply them to only passive income (i.e., income from interest, rental property, dividends, royalties or capital gains). Finally, jurisdictions also vary in the presence of substantial activity tests.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action3/" target="_blank">BEPS Action 3 Controlled Foreign Company</a></div> <div class="col-sm-12"><p>Le rapport BEPS Action 3 de 2015 a recommandé des approches pour l'élaboration de règles relatives aux sociétés étrangères contrôlées (SEC) visant à garantir l'imposition de certaines catégories de revenus des entreprises multinationales dans la juridiction de la société mère, afin de contrer certaines structures offshore qui entraînent un report d'imposition nul ou indéfini. Des règles complètes et efficaces en matière de CFC ont pour effet de réduire l'incitation à transférer les bénéfices d'une juridiction de marché vers une juridiction à faible taux d'imposition.</p><p> L'OCDE recueille des informations sur les progrès liés à la mise en œuvre de l'action 3, à savoir :</p><ul><li>l'existence ou non de règles relatives aux CFC dans une juridiction ;</li><li>la définition des revenus des CFC,</li><li>si les règles relatives aux CFC comprennent un test d'activité économique substantielle et, dans l'affirmative, la nature de ce test, et, enfin, si des exceptions s'appliquent</li></ul><p> En général, une CFC est définie comme une société étrangère contrôlée directement ou indirectement par un contribuable résident. Les juridictions appliquent divers critères pour déterminer le contrôle. Certaines approches font référence aux droits de vote détenus par les contribuables résidents ou à la valeur des actions détenues par les contribuables résidents, tandis que d'autres stipulent qu'une société étrangère est une CFC si elle exerce ses activités dans une juridiction à faible taux d'imposition et que d'autres encore fondent la désignation d'une CFC sur un critère fiscal (c'est-à-dire si la société étrangère ne paie pas d'impôt dans sa juridiction de résidence). Les juridictions varient également dans leur définition du revenu CFC, certaines appliquant les règles CFC à tout type de revenu tandis que d'autres ne les appliquent qu'aux revenus passifs (c'est-à-dire les revenus provenant d'intérêts, de biens locatifs, de dividendes, de redevances ou de plus-values). Enfin, les juridictions varient également en ce qui concerne l'existence de tests d'activité substantielle.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action3/" target="_blank">BEPS Action 3 Controlled Foreign Company</a></div> NonProductionDataflow true REF_AREA,REGIME LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Interest limitation rules - Corporate tax statistics Règles de limitation des intérêts - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>The OECD/G20 BEPS project identified the deductibility of interest as an important area of attention. In particular, profit shifting can arise from arrangements using third party debt (e.g., where one entity or jurisdiction bears an excessive proportion of the group’s total net third party interest expense) and intragroup debt (e.g., where a group uses intragroup interest expense to shift taxable income from high tax to low tax jurisdictions).</p><p>In response, the 2015 BEPS Action 4 report focused on the use of all types of debt giving rise to excessive interest expense or used to finance the production of exempt or deferred income. In particular, the Action 4 final report established rules that linked an entity’s net interest deductions to its level of economic activity within the jurisdiction, measured using taxable earnings before interest income, tax, depreciation and amortisation. This included three main elements:</p><ul><li>A fixed ratio rule based on a benchmark net interest/EBITDA ratio</li><li>A group ratio rule allowing an entity to deduct more interest expense based on the position of its worldwide group</li><li>Targeted rules to address specific risks not addressed by the general rule.</li></ul><p>Further work on two aspects of the approach outlined in the Action 4 report was completed in 2017. The first addressed key elements of the design and operation of the group ratio rule, focusing on the calculation of net third party interest expense, the calculation of group-EBITDA and approaches to address the impact of entities with negative EBITDA. The second identified features of the banking and insurance sectors which can constrain the ability of groups to engage in BEPS involving interest, together with limits on these constraints, and approaches to deal with risks posed by entities in these sectors.</p><p>The OECD gathers information on progress related to the implementation of Action 4, namely, whether a jurisdiction has an interest limitation rule in place and, if so, the main design features of the rule. Design features include:</p><ul><li>the type of rule (e.g., thin capitalisation, earnings stripping)</li><li>the financial ratio referenced</li><li>whether the rule is applicable to net or gross interest</li><li>whether the rule is applicable to related party debt and/or third party debt</li><li>whether a de minimus threshold is present</li><li>whether any exclusions apply</li><li>whether any loss carry-back or carry-forward provisions apply</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action4/" target="_blank">BEPS Action 4 Interest Limitation Rules</a></div> <div class="col-sm-12"><h3>A propos de la base de données Règles de limitation des intérêts (ILR)</h3><p>Le projet BEPS de l'OCDE/G20 a identifié la déductibilité des intérêts comme un domaine d'attention important. En particulier, le transfert de bénéfices peut résulter d'arrangements utilisant des dettes de tiers (par exemple, lorsqu'une entité ou une juridiction supporte une proportion excessive du total des charges nettes d'intérêts de tiers du groupe) et des dettes intragroupe (par exemple, lorsqu'un groupe utilise des charges d'intérêts intragroupe pour transférer des revenus imposables de juridictions à fiscalité élevée vers des juridictions à fiscalité faible).</p><p>En réponse, le rapport 2015 BEPS Action 4 s'est concentré sur l'utilisation de tous les types de dettes donnant lieu à des charges d'intérêts excessives ou utilisées pour financer la production de revenus exonérés ou différés. En particulier, le rapport final de l'Action 4 a établi des règles qui lient les déductions d'intérêts nets d'une entité à son niveau d'activité économique dans la juridiction, mesuré à l'aide des bénéfices imposables avant revenus d'intérêts, impôts, dépréciation et amortissement. Ces règles comportaient trois éléments principaux :</p><ul><li>Une règle de ratio fixe basée sur un ratio d'intérêt net/excédent brut d'exploitation de référence</li><li>Une règle de ratio de groupe permettant à une entité de déduire davantage de charges d'intérêt en fonction de la position de son groupe mondial.</li><li>Des règles ciblées pour faire face à des risques spécifiques non pris en compte par la règle générale.</li></ul><p>Des travaux supplémentaires sur deux aspects de l'approche décrite dans le rapport sur l'action 4 ont été menés à bien en 2017. Le premier a porté sur des éléments clés de la conception et du fonctionnement de la règle du ratio de groupe, en se concentrant sur le calcul des charges d'intérêt nettes des tiers, le calcul de l'EBITDA du groupe et les approches pour traiter l'impact des entités ayant un EBITDA négatif. La seconde a identifié les caractéristiques des secteurs de la banque et de l'assurance qui peuvent limiter la capacité des groupes à s'engager dans le BEPS impliquant des intérêts, ainsi que les limites de ces contraintes, et les approches pour traiter les risques posés par les entités de ces secteurs.</p><p>L'OCDE recueille des informations sur les progrès liés à la mise en œuvre de l'Action 4, à savoir si une juridiction a mis en place une règle de limitation des intérêts et, dans l'affirmative, les principales caractéristiques de la conception de la règle. Les caractéristiques de conception comprennent:</p><ul><li>le type de règle (par exemple, capitalisation restreinte, dépouillement des bénéfices)</li><li>le ratio financier auquel il est fait référence</li><li>si la règle s'applique aux intérêts nets ou bruts</li><li>si la règle s'applique à la dette d'une partie liée et/ou à la dette d'un tiers</li><li>l'existence ou non d'un seuil de minimus</li><li>si des exclusions s'appliquent</li><li>si des dispositions relatives au report de pertes en arrière ou en avant s'appliquent</li></ul><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/beps-actions/action4/" target="_blank">BEPS Action 4 Interest Limitation Rules</a></div> NonProductionDataflow true REF_AREA,REGIME LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION REGIME NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Intellectual properties regimes - Corporate tax statistics Régimes de propriété intellectuelle - Statistiques de l'impôt sur les sociétés <div class="col-sm-12"><p>This tables shows information on intellectual property (IP) regimes reviewed by the OECD’s Forum on Harmful Tax Practices (FHTP).IP regimes allow income from the exploitation of IP to be taxed at a lower rate than the standard statutory tax rate.</p><p>IP regimes can be regimes that exclusively provide benefits to income from IP, but some preferential regimes categorised as IP regimes are “dual category” regimes. These regimes also provide benefits to income from other geographically mobile activities or provide benefits to a wide range of activities and do not necessarily exclude income from IP. The table shows information both on regimes that narrowly target IP income and on regimes that offer reduced rates to IP income and other types of income.</p><p>As agreed as part of the BEPS Action 5 minimum standard, peer reviews are undertaken to identify features of IP regimes that can facilitate base erosion and profit shifting (BEPS) and therefore have the potential to unfairly impact the tax base of other jurisdictions. The Action 5 Report placed a renewed focus on requiring substantial activity for any preferential regime, and the “nexus approach” is the substantial activity requirement developed for IP regimes. The nexus approach requires a link between the income benefiting from the IP regime and the extent to which the taxpayer has undertaken the underlying R&D that generated the IP asset. In addition to the nexus approach, features of regimes such as ring-fencing from the domestic economy and a lack of transparency are also considered in the peer reviews.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/inclusive-framework-on-beps-progress-report-july-2018-may-2019.htm" target="_blank">OECD/G20 Inclusive Framework on BEPS: Progress Report July 2018-May 2019</a></div> <div class="col-sm-12"><p>Ce tableau présente des informations sur les régimes de propriété intellectuelle (PI) examinés par le Forum sur les pratiques fiscales dommageables (FHTP) de l'OCDE. Les régimes de PI permettent d'imposer les revenus tirés de l'exploitation de la PI à un taux inférieur au taux d'imposition légal normal. </p><p>Les régimes de PI peuvent être des régimes qui accordent des avantages exclusivement aux revenus tirés de la PI, mais certains régimes préférentiels classés comme régimes de PI sont des régimes "à double catégorie". Ces régimes profitent également aux revenus provenant d'autres activités géographiquement mobiles ou profitent à un large éventail d'activités et n'excluent pas nécessairement les revenus provenant de la propriété intellectuelle. Comme convenu dans le cadre de la norme minimale de l'Action 5 du BEPS, des examens par les pairs sont entrepris pour identifier les caractéristiques des régimes de propriété intellectuelle qui peuvent faciliter l'érosion de la base d'imposition et le transfert de bénéfices (BEPS) et qui sont donc susceptibles d'avoir un impact injuste sur la base d'imposition d'autres juridictions. Le rapport sur l'action 5 a remis l'accent sur l'exigence d'une activité substantielle pour tout régime préférentiel, et l'"approche nexus" est l'exigence d'une activité substantielle développée pour les régimes de propriété intellectuelle. L'approche nexus exige un lien entre le revenu bénéficiant du régime de propriété intellectuelle et la mesure dans laquelle le contribuable a entrepris la R&D sous-jacente qui a généré l'actif de propriété intellectuelle. Outre l'approche par le lien, les caractéristiques des régimes, telles que l'isolement de l'économie nationale et le manque de transparence, sont également prises en compte dans les évaluations par les pairs.</p><p><b>Contact: </b><a href="mailto:CorporateTaxStatistics@OECD.org">CorporateTaxStatistics@OECD.org</a></p></div><div class="col-sm-12"><h3>Related Document</h3><a href="https://www.oecd.org/tax/beps/inclusive-framework-on-beps-progress-report-july-2018-may-2019.htm" target="_blank">OECD/G20 Inclusive Framework on BEPS: Progress Report July 2018-May 2019</a></div> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in Africa - Reference series Séries de référence sur les statistiques des recettes publiques en Afrique <p>Includes Gross Domestic Product (GDP) for tax reporting years at market prices in national currency and in US dollars , and exchange rates in national currency per US dollar, for economies in Revenue Statistics in Africa.</p> <p>Comprend le produit intérieur brut (PIB) pour les années fiscales aux prix du marché en monnaie nationale et en dollars américains, ainsi que les taux de change en monnaie nationale par rapport au dollar américain, pour les économies figurant dans les statistiques sur les recettes en Afrique.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in Asia and the Pacific - Reference series une séries de référence sur les statistiques des recettes publiques en Asie et Pacifique <p>Includes Gross Domestic Product (GDP) for tax reporting years at market prices in national currency and in US dollars , and exchange rates in national currency per US dollar, for economies in Revenue Statistics in Asia and the Pacific.</p> <p>Comprend le produit intérieur brut (PIB) pour les années fiscales aux prix du marché en monnaie nationale et en dollars américains, ainsi que les taux de change en monnaie nationale par rapport au dollar américain, pour les économies figurant dans les statistiques sur les recettes en Asie et dans le Pacifique.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Global Revenue Statistics - Reference series Séries de référence des statistiques des recettes publiques mondiales <p>Includes Gross Domestic Product (GDP) for tax reporting years at market prices in national currency and in US dollars, and exchange rates in national currency per US dollar.</p> <p>Comprend le produit intérieur brut (PIB) pour les années fiscales aux prix du marché en monnaie nationale et en dollars américains, ainsi que les taux de change en monnaie nationale par rapport au dollar américain.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in Latin America and the Caribbean - Reference series Une séries de référence sur les statistiques des recettes publiques en Amérique latine et dans les Caraïbes <p>Includes Gross Domestic Product (GDP) for tax reporting years at market prices in national currency and in US dollars , and exchange rates in national currency per US dollar, for economies in Revenue Statistics in Latin America and the Caribbean.</p> <p>Comprend le produit intérieur brut (PIB) pour les années fiscales aux prix du marché en monnaie nationale et en dollars américains, ainsi que les taux de change en monnaie nationale par rapport au dollar américain, pour les économies figurant dans les statistiques sur les recettes en Amérique latine et dans les Caraïbes.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CURRENCY LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=B1GQ_V,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:MEASURE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in OECD member countries - Reference series Une série de référence pour les statistiques des recettes publiques pour les pays membres de l'OCDE <p>Includes Gross Domestic Product (GDP) for tax reporting years at market prices in national currency, and exchange rates in national currency per US dollar, for economies in Revenue Statistics in OECD member countries.</p> <p>Comprend le produit intérieur brut (PIB) pour les années fiscales aux prix du marché en monnaie nationale et les taux de change en monnaie nationale par rapport au dollar américain, pour les économies figurant dans les statistiques sur les recettes des pays membres de l'OCDE.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Burkina Faso - tax and non-tax revenues Burkina Faso - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Burkina Faso as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Burkina Faso, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Botswana - tax and non-tax revenues Botswana - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Botswana as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Botswana, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Côte d'Ivoire - tax and non-tax revenues Côte d'Ivoire - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Côte d'Ivoire as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Côte d'Ivoire, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Cameroon - tax and non-tax revenues Cameroun - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Cameroon as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Cameroun, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Democratic Republic of the Congo - tax and non-tax revenues République démocratique du Congo - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Democratic Republic of the Congo as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le République démocratique du Congo, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Republic of the Congo - tax and non-tax revenues République du Congo - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Republic of the Congo as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le République du Congo, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Cabo Verde - tax and non-tax revenues Cabo Verde - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Cabo Verde as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Cabo Verde, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Egypt - tax and non-tax revenues Égypte - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Egypt as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Égypte, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Gabon - tax and non-tax revenues Gabon - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Gabon as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Gabon, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Ghana - tax and non-tax revenues Ghana - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Ghana as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Ghana, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Guinea - tax and non-tax revenues Guinée - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Guinea as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Guinée, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Gambia - tax and non-tax revenues Gambie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Gambia as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Gambie, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Equatorial Guinea - tax and non-tax revenues Guinée équatoriale - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Equatorial Guinea as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Guinée équatoriale, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Kenya - tax and non-tax revenues Kenya - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Kenya as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Kenya, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Liberia - tax and non-tax revenues Libéria - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Liberia as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Libéria, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Lesotho - tax and non-tax revenues Lesotho - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Lesotho as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Lesotho, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Morocco - tax and non-tax revenues Maroc - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Morocco as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Maroc, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Madagascar - tax and non-tax revenues Madagascar - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Madagascar as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Madagascar, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Mali - tax and non-tax revenues Mali - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Mali as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Mali, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=11 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Mozambique - tax and non-tax revenues Mozambique - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Mozambique as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Mozambique, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Mauritania - tax and non-tax revenues Mauritanie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Mauritania as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Mauritanie, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Mauritius - tax and non-tax revenues Maurice - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Mauritius as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Maurice, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Malawi - tax and non-tax revenues Malawi - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Malawi as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Malawi, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Namibia - tax and non-tax revenues Namibie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Namibia as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Namibie, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Niger - tax and non-tax revenues Niger - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Niger as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Niger, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Nigeria - tax and non-tax revenues Nigéria - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Nigeria as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Nigéria, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Rwanda - tax and non-tax revenues Rwanda - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Rwanda as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Rwanda, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Senegal - tax and non-tax revenues Sénégal - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Senegal as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Sénégal, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Sierra Leone - tax and non-tax revenues Sierra Leone - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Sierra Leone as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Sierra Leone, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=11 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Somalia - tax and non-tax revenues Somalie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Somalia as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Somalie, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Eswatini - tax and non-tax revenues Eswatini - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Eswatini as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Eswatini, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Seychelles - tax and non-tax revenues Seychelles - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Seychelles as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Seychelles, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Chad - tax and non-tax revenues Tchad - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Chad as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Tchad, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Togo - tax and non-tax revenues Togo - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Togo as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Togo, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Tunisia - tax and non-tax revenues Tunisie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Tunisia as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Tunisie, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Uganda - tax and non-tax revenues Ouganda - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Uganda as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Ouganda, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure South Africa - tax and non-tax revenues Afrique du Sud - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for South Africa as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Afrique du Sud, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=11 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Zambia - tax and non-tax revenues Zambie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Zambia as shown in Revenue Statistics in Africa. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Zambie, telles qu'elles figurent dans les statistiques sur les recettes en Afrique. Les données sur les recettes sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et présentées en monnaie nationale et en dollars américains.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true Tax evenues, all AFRICA countries Tax evenues, all AFRICA countries NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Armenia - tax revenues Arménie - recettes fiscales <p>Internationally comparable data on tax revenues for Armenia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Arménie, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Australia - tax revenues in Revenue Statistics in Asia and the Pacific Australie - recettes fiscales dans Statistiques des recettes publiques en Asie et Pacifique <p>Internationally comparable data on tax revenues for Australia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Australie, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Azerbaijan - tax revenues Azerbaïdjan - recettes fiscales <p>Internationally comparable data on tax revenues for Azerbaijan as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Azerbaïdjan, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Bangladesh - tax revenues Bangladesh - recettes fiscales <p>Internationally comparable data on tax revenues for Bangladesh as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Bangladesh, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Bhutan - tax and non-tax revenues Bhoutan - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Bhutan as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Bhoutan, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf China - tax revenues Chine - recettes fiscales <p>Internationally comparable data on tax revenues for China as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Chine, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Cook Islands - tax and non-tax revenues Îles Cook - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Cook Islands as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour les Îles Cook, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Fiji - tax and non-tax revenues Fidji - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Fiji as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Fidji, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Georgia - tax revenues Géorgie - recettes fiscales <p>Internationally comparable data on tax revenues for Georgia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Géorgie, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Hong Kong, China - tax and non-tax revenues Hong Kong (Chine) - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Hong Kong, China as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Hong Kong (Chine), telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Indonesia - tax revenues Indonésie - recettes fiscales <p>Internationally comparable data on tax revenues for Indonesia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour l'Indonésie, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Japan - tax revenues in Revenue Statistics in Asia and the Pacific Japon - recettes fiscales dans Statistiques des recettes publiques en Asie et Pacifique <p>Internationally comparable data on tax revenues for Japan as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Japon, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Kazakhstan - tax and non-tax revenues Kazakhstan - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Kazakhstan as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Kazakhstan, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Kyrgyzstan - tax and non-tax revenues Kirghizistan - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Kyrgyzstan as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Kirghizistan, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Cambodia - tax and non-tax revenues Cambodge - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Cambodia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Cambodge, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Kiribati - tax revenues Kiribati - recettes fiscales <p>Internationally comparable data on tax revenues for Kiribati as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Kiribati, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Korea - tax revenues in Revenue Statistics in Asia and the Pacific Corée - recettes fiscales dans Statistiques des recettes publiques en Asie et Pacifique <p>Internationally comparable data on tax revenues for Korea as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Corée, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Lao PDR - tax and non-tax revenues RDP lao - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Lao PDR as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le RDP lao, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Sri Lanka - tax and non-tax revenues Sri Lanka - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Sri Lanka as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Sri Lanka, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Maldives - tax and non-tax revenues Maldives - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Maldives as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Maldives, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Marshall Islands - tax and non-tax revenues Îles Marshall - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Marshall Islands as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour les Îles Marshall, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Mongolia - tax and non-tax revenues Mongolie - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Mongolia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Mongolie, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Malaysia - tax revenues Malaisie - recettes fiscales <p>Internationally comparable data on tax revenues for Malaysia as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Malaisie, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Niue - tax and non-tax revenues Niue - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Niue as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Niue, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Nauru - tax and non-tax revenues Nauru - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Nauru as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Nauru, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf New Zealand - tax revenues in Revenue Statistics in Asia and the Pacific Nouvelle-Zélande - recettes fiscales dans Statistiques des recettes publiques en Asie et Pacifique <p>Internationally comparable data on tax revenues for New Zealand as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Nouvelle-Zélande, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Pakistan - tax and non-tax revenues Pakistan - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Pakistan as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Pakistan, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVPHL(1.0).H HIER_CONTEXT EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Philippines - tax and non-tax revenues Philippines - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Philippines as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Philippines, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Papua New Guinea - tax and non-tax revenues Papouasie-Nouvelle-Guinée - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Papua New Guinea as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Papouasie-Nouvelle-Guinée, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Singapore - tax and non-tax revenues Singapour - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Singapore as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Singapour, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Solomon Islands - tax and non-tax revenues Îles Salomon - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Solomon Islands as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour les Îles Salomon, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Thailand - tax and non-tax revenues Thaïlande - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Thailand as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Thaïlande, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Tokelau - tax and non-tax revenues Tokélaou - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Tokelau as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Tokélaou, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Timor-Leste - tax revenues Timor-Leste - recettes fiscales <p>Internationally comparable data on tax revenues for Timor-Leste as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour la Timor-Leste, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Tonga - tax and non-tax revenues Tonga - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Tonga as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour les Tonga, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Viet Nam - tax and non-tax revenues Viet Nam - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Viet Nam as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Viet Nam, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Vanuatu - tax and non-tax revenues Vanuatu - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Vanuatu as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Vanuatu, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Samoa - tax and non-tax revenues Samoa - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Samoa as shown in Revenue Statistics in Asia and the Pacific. Revenue data are classified according to the OECD classification of taxes and non-tax revenues and are shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales pour le Samoa, telles qu'elles figurent dans les statistiques des recettes publiques en Asie et dans le Pacifique. Les données sur les recettes publiques sont classées selon la classification des recettes fiscales et non fiscales de l'OCDE et sont présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine, recettes non fiscales, dons, redevances, amendes, pénalités, frais administratifs, rentes liées aux ressources naturelles, ventes de biens et services. </p> NonProductionDataflow true Tax revenues, all ASAP countries Tax revenues, all ASAP countries NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in Africa - Comparative tax and non-tax revenues Tableaux comparatifs des Statistiques des recettes publiques en Afrique <p>Internationally comparable tax and non-tax revenue data from Revenue Statistics in Africa countries presented as a percentage of GDP and as a share of total tax or non-tax revenue, as well as in national currency and US dollars. Tax revenues are harmonised according to the OECD classification of taxes.</p><p>Related topics: Tax-to-GDP, Taxation, Tax structure, Tax mix, Regional average – change for each region, Domestic resource mobilisation, Public finance, Income tax, Social security contributions, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales provenant des statistiques des recettes publiques des pays africains, présentées en pourcentage du PIB et en proportion du total des recettes fiscales ou du total des recettes non fiscales, ainsi qu'en monnaie nationale et en dollars américains. Les recettes fiscales sont harmonisées selon la classification des impôts de l'OCDE.</p><p>Sujets associés : Ratios Impôts/PIB, Fiscalité, Structure fiscale, composition fiscale, Moyenne Afrique, Mobilisation des ressources intérieures, Finances publiques, Impôt sur le revenu, Cotisations de sécurité sociale, impôts sur les biens et services, Taxe sur la valeur ajoutée, TVA, Droits d'accise, Douane, Impôts sur le patrimoine, Recettes non fiscales, Dons, Redevances, Amendes, Pénalités, Frais administratifs, Redevances sur les ressources, Ventes de biens et service.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in Asia and the Pacific - Comparative tax and non-tax revenues Tableaux comparatifs des Statistiques des recettes publiques en Asie et Pacifique <p>Internationally comparable tax and non-tax revenue data from Revenue Statistics in Asia and the Pacific economies presented as a percentage of GDP and as a share of total tax or non-tax revenues as well as in national currency and US dollars. Tax revenues are harmonised according to the OECD classification of taxes.</p><p>Related topics: Tax-to-GDP, Taxation, Tax structure, Tax mix, Regional average – change for each region, Domestic resource mobilisation, Public finance, Income tax, Social security contributions, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes fiscales et non fiscales provenant des statistiques des recettes publiques des économies d'Asie et du Pacifique, présentées en pourcentage du PIB et en proportion du total des recettes fiscales ou du total des recettes non fiscales, ainsi qu'en monnaie nationale et en dollars américains. Les recettes fiscales sont harmonisées selon la classification des impôts de l'OCDE.</p><p> Sujets associés : Ratios Impôts/PIB, Fiscalité, Structure fiscale, composition fiscale, Moyenne Afrique, Mobilisation des ressources intérieures, Finances publiques, Impôt sur le revenu, Cotisations de sécurité sociale, impôts sur les biens et services, Taxe sur la valeur ajoutée, TVA, Droits d'accise, Douane, Impôts sur le patrimoine, Recettes non fiscales, Dons, Redevances, Amendes, Pénalités, Frais administratifs, Redevances sur les ressources, Ventes de biens et service.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Global Revenue Statistics - Comparative tax revenues Tableaux comparatifs des statistiques des recettes publiques mondiales <p>Internationally comparable tax revenue data from countries included in Global Revenue Statistics, presented as a percentage of GDP and as a share of total tax revenue, as well as in national currency and US dollars. Tax revenues are harmonised according to the OECD classification of taxes.</p><p>Related topics: Tax-to-GDP, Taxation, Tax structure, Tax mix, Regional average – change for each region, Domestic resource mobilisation, Public finance, Income tax, Social security contributions, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales des pays inclus dans la base de données mondiale des statistiques des recettes publiques, présentées en pourcentage du PIB et en proportion des recettes fiscales totales, ainsi qu'en monnaie nationale et en dollars américains. Les recettes fiscales sont harmonisées selon la classification des impôts de l'OCDE.</p><p> Sujets associés : Ratios impôts/PIB, Fiscalité, Structure fiscale, Composition fiscale, Moyennes régionales, Mobilisation des ressources intérieures, Finances publiques, Impôt sur le revenu, Cotisations de sécurité sociale, impôts sur les Biens et services, Taxe sur la valeur ajoutée, TVA, Droits d'accise, Douane, Impôts sur le patrimoine.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in Latin America and the Caribbean - Comparative tax revenues Tableaux comparatifs des Statistiques des recettes publiques en Amérique latine et dans les Caraïbes <p>Internationally comparable tax revenue data from Revenue Statistics in Latin America and the Caribbean countries presented as a percentage of GDP and as a share of total tax revenues as well as in national currency and US dollars. Tax revenues are harmonised according to the OECD classification of taxes.</p><p>Related topics: Tax-to-GDP, Taxation, Tax structure, Tax mix, Regional average – change for each region, Domestic resource mobilisation, Public finance, Income tax, Social security contributions, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales provenant des statistiques des recettes publiques des pays d'Amérique latine et des Caraïbes, présentées en pourcentage du PIB et en proportion des recettes fiscales totales, ainsi qu'en monnaie nationale et en dollars américains. Les recettes fiscales sont harmonisées selon la classification des impôts de l'OCDE.</p><p>Sujets associés : Ratios Impôts/PIB, Fiscalité, Structure fiscale, Composition fiscale, Moyenne des pays d'Amérique latine et des Caraïbes, Mobilisation des ressources intérieures, Finances publiques, Impôt sur le revenu, Cotisations de sécurité sociale, impôts sur les biens et services, Taxe sur la valeur ajoutée, TVA, Droits d'accise, Douane, Impôts sur le patrimoine.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Financing of social security benefits in OECD member countries Financement des prestations de sécurité sociale dans les pays membres de l'OCDE <p>Compulsory payments conferring entitlement to future social benefits These are usually earmarked to finance social benefits and paid to institutions of general government.</p> <p>Paiements obligatoires donnant droit à des prestations sociales futures. Ils sont généralement affectés au financement des prestations sociales et versés aux administrations publiques.</p> NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Revenue Statistics in OECD member countries - Comparative tax revenues Tableaux comparatifs des Statistiques des recettes publiques pour les pays membres de l'OCDE <p>Internationally comparable tax revenue data for OECD countries presented as a percentage of GDP and as a share of total tax or non-tax revenues as well as in national currency and US dollars. Tax revenues are harmonised according to the OECD classification of taxes.</p><p>Related topics: Tax-to-GDP, Taxation, Tax structure, Tax mix, Regional average – change for each region, Domestic resource mobilisation, Public finance, Income tax, Social security contributions, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes publiques des pays de l'OCDE, présentées en pourcentage du PIB et en proportion des recettes fiscales totales, ainsi qu'en monnaie nationale et en dollars américains. Les recettes fiscales sont harmonisées selon la classification des impôts de l'OCDE.</p><p> Sujet associé :Ratios Impôts/PIB, Fiscalité, Structure fiscale, Composition fiscale, Moyenne des pays d'Amérique latine et des Caraïbes, Mobilisation des ressources intérieures, Finances publiques, Impôt sur le revenu, Cotisations de sécurité sociale, impôts sur les biens et services, Taxe sur la valeur ajoutée, TVA, Droits d'accise, Douane, Impôts sur le patrimoine.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A,MEASURE=TAX_REV,UNIT_MEASURE=XDC NOT_DISPLAYED STANDARD_REVENUE=_T,SECTOR=S13,UNIT_MEASURE=PT_B1GQ,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Social security contributions and payroll taxes paid by government in OECD member countries Cotisations de sécurité sociale et impôts sur les salaires payés par les administrations publiques dans les pays membres de l'OCDE <p>Compulsory payments made by general government in respect of their employees. These are levied on both employees and employers and include contributions for unemployment insurance, sickness benefits, pensions, family allowances, and medical services.</p> <p>Paiements obligatoires effectués par les administrations publiques au titre de leurs employés. Ils sont prélevés à la fois sur les employés et les employeurs et comprennent les cotisations pour l'assurance chômage, les prestations de maladie, les pensions, les allocations familiales et les services médicaux.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Bulgaria - tax revenues Bulgarie - recettes fiscales <p>Internationally comparable data on tax revenues for Bulgaria. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes publiques de la Bulgarie. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Croatia - tax revenues Croatie - recettes fiscales <p>Internationally comparable data on tax revenues for Croatia. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes publiques de la Croatie. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Liechtenstein - tax revenues Liechtenstein - recettes fiscales <p>Internationally comparable data on tax revenues for Liechtenstein. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes publiques de le Liechtenstein. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Moldova - tax and non-tax revenues Moldova - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for Moldova. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes publiques de le Moldova. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Malta - tax revenues Malte - recettes fiscales <p>Internationally comparable data on tax revenues for Malta. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes publiques de la Malte. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Romania - tax revenues Roumanie - recettes fiscales <p>Internationally comparable data on tax revenues for Romania. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes publiques de la Roumanie. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Ukraine - tax and non-tax revenues Ukraine - recettes fiscales et non fiscales <p>Internationally comparable data on tax and non-tax revenues for the Ukraine. Revenue data are classified according to the OECD classification of taxes and shown in national currency and US dollars.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax, non-tax revenues, grants, royalties, fines, penalties, administrative fees, resource rents, sales of goods and services.</p> <p>Données comparables au niveau international sur les recettes publiques de l'Ukraine. Les données relatives aux recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine.</p> NonProductionDataflow true Tax revenues, all GLOBAL countries Tax revenues, all GLOBAL countries NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Argentina - tax revenues Argentine - recettes fiscales <p>Internationally comparable data on tax revenues for Argentina as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Argentine, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Antigua and Barbuda - tax revenues Antigua-et-Barbuda - recettes fiscales <p>Internationally comparable data on tax revenues for Antigua and Barbuda as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Antigua-et-Barbuda, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Bahamas - tax revenues Bahamas - recettes fiscales <p>Internationally comparable data on tax revenues for the Bahamas as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Bahamas, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Belize - tax revenues Belize - recettes fiscales <p>Internationally comparable data on tax revenues for Belize as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Belize, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Bolivia - tax revenues Bolivie - recettes fiscales <p>Internationally comparable data on tax revenues for Bolivia as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Bolivie, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Brazil - tax revenues Brésil - recettes fiscales <p>Internationally comparable data on tax revenues for Brazil as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Brésil, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Barbados - tax revenues Barbade - recettes fiscales <p>Internationally comparable data on tax revenues for Barbados as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Barbade, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Chile - tax revenues in Revenue Statistics in Latin America and the Caribbean Chili - recettes fiscales dans Statistiques des recettes publiques en Amérique latine et dans les Caraïbes <p>Internationally comparable data on tax revenues for Chile as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Chili, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Colombia - tax revenues in Revenue Statistics in Latin America and the Caribbean Colombie - recettes fiscales dans Statistiques des recettes publiques en Amérique latine et dans les Caraïbes <p>Internationally comparable data on tax revenues for Colombia as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Colombie, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Costa Rica - tax revenues in Revenue Statistics in Latin America and the Caribbean Costa Rica - recettes fiscales dans Statistiques des recettes publiques en Amérique latine et dans les Caraïbes <p>Internationally comparable data on tax revenues for Costa Rica as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Costa Rica, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Cuba - tax revenues Cuba - recettes fiscales <p>Internationally comparable data on tax revenues for Cuba as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Cuba, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Dominican Republic - tax revenues République dominicaine - recettes fiscales <p>Internationally comparable data on tax revenues for the Dominican Republic as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la République dominicaine, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Ecuador - tax revenues Équateur - recettes fiscales <p>Internationally comparable data on tax revenues for Ecuador as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Équateur, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Grenada - tax revenues Grenada - recettes fiscales <p>Internationally comparable data on tax revenues for Venezuela as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Vénézuela, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Guatemala - tax revenues Guatemala - recettes fiscales <p>Internationally comparable data on tax revenues for Guatemala as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Guatemala, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Guyana - tax revenues Guyana - recettes fiscales <p>Internationally comparable data on tax revenues for Guyana as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Guyana, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Honduras - tax revenues Honduras - recettes fiscales <p>Internationally comparable data on tax revenues for Honduras as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Honduras, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Jamaica - tax revenues Jamaïque - recettes fiscales <p>Internationally comparable data on tax revenues for Jamaica as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Jamaïque, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Saint Lucia - tax revenues Sainte-Lucie - recettes fiscales <p>Internationally comparable data on tax revenues for Saint Lucia as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Sainte-Lucie, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Mexico - tax revenues in Revenue Statistics in Latin America and the Caribbean Mexique - recettes fiscales dans Statistiques des recettes publiques en Amérique latine et dans les Caraïbes <p>Internationally comparable data on tax revenues for Mexico as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Mexique, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Nicaragua - tax revenues Nicaragua - recettes fiscales <p>Internationally comparable data on tax revenues for Nicaragua as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Nicaragua, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Panama - tax revenues Panama - recettes fiscales <p>Internationally comparable data on tax revenues for Panama as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Panama, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Peru - tax revenues Pérou - recettes fiscales <p>Internationally comparable data on tax revenues for Peru as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Pérou, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Paraguay - tax revenues Paraguay - recettes fiscales <p>Internationally comparable data on tax revenues for Paraguay as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Paraguay, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure El Salvador - tax revenues El Salvador - recettes fiscales <p>Internationally comparable data on tax revenues for El Salvador as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'El Salvador, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Suriname - tax revenues Suriname - recettes fiscales <p>Internationally comparable data on tax revenues for Venezuela as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Vénézuela, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Trinidad and Tobago - tax revenues Trinité-et-Tobago - recettes fiscales <p>Internationally comparable data on tax revenues for Trinidad and Tobago as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Trinité-et-Tobago, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Uruguay - tax revenues Uruguay - recettes fiscales <p>Internationally comparable data on tax revenues for Uruguay as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Uruguay, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Venezuela - tax revenues Vénézuela - recettes fiscales <p>Internationally comparable data on tax revenues for Venezuela as shown in Revenue Statistics in Latin America and the Caribbean. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Vénézuela, telles qu'elles figurent dans les statistiques des recettes publiques en Amérique latine et dans les Caraïbes. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoinesur le patrimoine</p> NonProductionDataflow true Tax revenues, all LAC countries Tax revenues, all LAC countries NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVAUS(1.0).H HIER_CONTEXT Australia - tax revenues Australie - recettes fiscales <p>Internationally comparable data on tax revenues for Australia as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Australie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Austria - tax revenues Autriche - recettes fiscales <p>Internationally comparable data on tax revenues for Austria as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Autriche, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVBEL(1.0).H HIER_CONTEXT Belgium - tax revenues Belgique - recettes fiscales <p>Internationally comparable data on tax revenues for Belgium as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Belgique, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCAN(1.0).H HIER_CONTEXT Canada - tax revenues Canada - recettes fiscales <p>Internationally comparable data on tax revenues for Canada as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Canada, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Switzerland - tax revenues Suisse - recettes fiscales <p>Internationally comparable data on tax revenues for Switzerland as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Suisse, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Chile - tax revenues Chili - recettes fiscales <p>Internationally comparable data on tax revenues for Chile as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Chili, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Colombia - tax revenues Colombie - recettes fiscales <p>Internationally comparable data on tax revenues for Colombia as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Colombie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Costa Rica - tax revenues Costa Rica - recettes fiscales <p>Internationally comparable data on tax revenues for Costa Rica as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Costa Rica, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVCZE(1.0).H HIER_CONTEXT Czechia - tax revenues Tchéquie - recettes fiscales <p>Internationally comparable data on tax revenues for Czechia as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Tchéquie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Germany - tax revenues Allemagne - recettes fiscales <p>Internationally comparable data on tax revenues for Germany as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Allemagne, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Denmark - tax revenues Danemark - recettes fiscales <p>Internationally comparable data on tax revenues for Denmark as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Danemark, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Spain - tax revenues Espagne - recettes fiscales <p>Internationally comparable data on tax revenues for Spain as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Espagne, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Estonia - tax revenues Estonie - recettes fiscales <p>Internationally comparable data on tax revenues for Estonia as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Estonie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Finland - tax revenues Finlande - recettes fiscales <p>Internationally comparable data on tax revenues for Finland as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Finlande, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure France - tax revenues France - recettes fiscales <p>Internationally comparable data on tax revenues for France as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la France, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure United Kingdom - tax revenues Royaume-Uni - recettes fiscales <p>Internationally comparable data on tax revenues for the United Kingdom as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Royaume-Uni, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVGRC(1.0).H HIER_CONTEXT Greece - tax revenues Grèce - recettes fiscales <p>Internationally comparable data on tax revenues for Greece as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Grèce, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVHUN(1.0).H HIER_CONTEXT Hungary - tax revenues Hongrie - recettes fiscales <p>Internationally comparable data on tax revenues for Hungary as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Hongrie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Ireland - tax revenues Irlande - recettes fiscales <p>Internationally comparable data on tax revenues for Ireland as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Irlande, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Iceland - tax revenues Islande - recettes fiscales <p>Internationally comparable data on tax revenues for Iceland as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Islande, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Israel - tax revenues Israël - recettes fiscales <p>Internationally comparable data on tax revenues for Israel as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Israël, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OECD classification of taxes and Interpretative Guide|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf classification des impôts et le Guide interprétatif de l'OCDE|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/global-tax-revenues/oecd-classification-taxes-interpretative-guide.pdf Italy - tax revenues Italie - recettes fiscales <p>Internationally comparable data on tax revenues for Italy as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour l'Italie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Japan - tax revenues Japon - recettes fiscales <p>Internationally comparable data on tax revenues for Japan as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Japon, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Korea - tax revenues Corée - recettes fiscales <p>Internationally comparable data on tax revenues for Korea as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Corée, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Lithuania - tax revenues Lituanie - recettes fiscales <p>Internationally comparable data on tax revenues for Lithuania as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Lituanie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Luxembourg - tax revenues Luxembourg - recettes fiscales <p>Internationally comparable data on tax revenues for Luxembourg as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Luxembourg, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVLVA(1.0).H HIER_CONTEXT Latvia - tax revenues Lettonie - recettes fiscales <p>Internationally comparable data on tax revenues for Latvia as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Lettonie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Mexico - tax revenues Mexique - recettes fiscales <p>Internationally comparable data on tax revenues for Mexico as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Mexique, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Netherlands - tax revenues Pays-Bas - recettes fiscales <p>Internationally comparable data on tax revenues for the Netherlands as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour les Pays-Bas, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Norway - tax revenues Norvège - recettes fiscales <p>Internationally comparable data on tax revenues for Norway as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Norvège, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure New Zealand - tax revenues Nouvelle-Zélande - recettes fiscales <p>Internationally comparable data on tax revenues for New Zealand as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Nouvelle-Zélande, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure CTRY_SPECIFIC_REVENUE:OECD.CTP.TPS:HCL_REVPOL(1.0).H HIER_CONTEXT Poland - tax revenues Pologne - recettes fiscales <p>Internationally comparable data on tax revenues for Poland as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Pologne, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Portugal - tax revenues Portugal - recettes fiscales <p>Internationally comparable data on tax revenues for Portugal as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour le Portugal, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Slovak Republic - tax revenues République slovaque - recettes fiscales <p>Internationally comparable data on tax revenues for the Slovak Republic as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la République slovaque, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Slovenia - tax revenues Slovénie - recettes fiscales <p>Internationally comparable data on tax revenues for Slovenia as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Slovénie, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Sweden - tax revenues Suède - recettes fiscales <p>Internationally comparable data on tax revenues for Sweden as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Suède, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure Türkiye - tax revenues Türkiye - recettes fiscales <p>Internationally comparable data on tax revenues for Türkiye as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour la Türkiye, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION REVENUE_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,CTRY_SPECIFIC_TAX=_T,FREQ=A,MEASURE=TAX_REV NOT_DISPLAYED SECTOR=S13,LASTNPERIODS=10 DEFAULT COMBINED_MEASURE:STANDARD_REVENUE,CTRY_SPECIFIC_REVENUE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Tax category;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Catégorie fiscale;COMBINED_UNIT_MEASURE:Unité de mesure United States - tax revenues États-Unis - recettes fiscales <p>Internationally comparable data on tax revenues for the United States as shown in Revenue Statistics OECD. Revenue data are classified according to the OECD classification of taxes and shown in national currency.</p><p>Related topics: Tax level, tax structure, tax mix, Domestic resource mobilisation, Income tax, Social security, Payroll, Goods and services, Value added tax, VAT, Excise, Customs, Property tax.</p> <p>Données comparables au niveau international sur les recettes fiscales pour les États-Unis, telles qu'elles apparaissent dans les statistiques des recettes publiques de l'OCDE. Les données sur les recettes fiscales sont classées selon la classification des impôts de l'OCDE et présentées en monnaie nationale.</p><p>Sujets associés : Niveau des recettes fiscales, structure fiscale, composition fiscale, mobilisation des ressources intérieures, impôt sur le revenu, cotisations de sécurité sociale, masse salariale, impôts sur les biens et services, taxe sur la valeur ajoutée, TVA, accises, douane, impôts sur le patrimoine</p> NonProductionDataflow true UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED Tax revenues, all OECD countries Tax revenues, all OECD countries NonProductionDataflow true MEASURE,SECTOR LAYOUT_ROW TIME_PERIOD,REF_AREA,TARGETING LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS NOT_DISPLAYED SECTOR=S13+S1311+S13M,LASTNPERIODS=1,TARGETING=ST DEFAULT COMBINED_MEASURE:MEASURE,SECTOR COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Corporate income tax (CIT) - statutory and targeted small business rates L'impôt sur les sociétés (IS) - taux légaux et taux ciblés pour les petites entreprises <P>Statutory and targeted, sub-central and combined corporate income tax (CIT) rates. Targeted rates of 'small incorporated business' are on the basis of size alone (e.g. number of employees, amount of assets, turnover or taxable income) and not on the basis of expenditures or other targeting criteria. Targeted rates data are only available for OECD member countries.</p> <p>Taux légaux et ciblés, sous-centraux et combinés de l'impôt sur les sociétés (IS). Les taux ciblés des « petites entreprises constituées en société » sont basés uniquement sur la taille (par exemple, le nombre d'employés, le montant des actifs, le chiffre d'affaires ou le revenu imposable) et non sur les dépenses ou d'autres critères de ciblage. Les données relatives aux taux ciblés ne sont disponibles que pour les pays membres de l'OCDE.</p> NonProductionDataflow true REF_AREA,DIV_TREATMENT LAYOUT_ROW SECTOR,MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A,DECIMALS NOT_DISPLAYED LASTNPERIODS=1 DEFAULT EXT_RESOURCE Corporate tax statistics explanatory annex|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Annexe explicative des statistiques sur l'impôt sur les sociétés|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/corporate-taxation/explanatory-annex-corporate-tax-statistics.pdf Combined (corporate and shareholder) statutory tax rates on dividend income Taux légaux d'imposition combinés (sociétés et actionnaires) sur les revenus de dividendes <p>Combined corporate and shareholder statutory tax rates on distributions of domestic source income to a resident individual shareholder. Taking account of corporate income tax, personal income tax and any type of integration or relief to reduce the effects of double taxation.</p> <p>Taux d'imposition statutaire combiné de la société et de l'actionnaire sur les distributions de revenus de source nationale à un actionnaire individuel résident. Prise en compte de l'impôt sur le revenu des sociétés, de l'impôt sur le revenu des personnes physiques et de tout type d'intégration ou d'allègement visant à réduire les effets de la double imposition.</p> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW INCOME_PRINCIPAL LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M DEFAULT MEASURE:OECD.CTP.TPS:HCL_PIT_AVMR(1.0).H HIER_CONTEXT Personal income tax (PIT) and social security contributions (SSC) - average rates on gross wage earnings Impôt sur le revenu des personnes physiques (IRPP) et cotisations de sécurité sociale (CSS) - taux moyens sur les revenus salariaux bruts <p>The average personal income tax (PIT) and social security contribution (SSC) rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the average wage. </p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Les taux moyens de l'impôt sur le revenu des personnes physiques (IRPP) et des cotisations de sécurité sociale (CSS) pour un célibataire sans personne à charge, à différents multiples (67%, 100%, 133%, 167%) du salaire moyen.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW TRANSACTION,INCOME_PRINCIPAL LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M DEFAULT MEASURE:OECD.CTP.TPS:HCL_PIT_AVMR(1.0).H HIER_CONTEXT Personal income tax (PIT) and social security contributions (SSC) - average and marginal rates on gross wage and earnings Impôt sur le revenu des personnes physiques (IRPP) et cotisations de sécurité sociale (CSS) - taux moyens sur les revenus salariaux bruts <p>The average and marginal personal income tax (PIT) and social security contribution (SSC) rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the average wage. </p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Les taux moyens et les taux marginaux de l'impôt sur le revenu des personnes physiques (IRPP) et des cotisations de sécurité sociale (CSS) pour un célibataire sans personne à charge, à différents multiples (67%, 100%, 133%, 167%) du salaire moyen.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_SPOUSE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CIVIL_STATUS NOT_DISPLAYED LASTNPERIODS=1,SECTOR=S13,MEASURE=PIT_EESSC+PIT_EESSC_LCT,INCOME_SPOUSE=NOEARN_UNEMP+_Z,HOUSEHOLD_TYPE=S_C0+S_C2+C_C0+C_C2,CIVIL_STATUS=M+_Z DEFAULT Personal income tax (PIT) and social security contributions (SSC) - average combined rates Impôt sur le revenu des personnes physiques (IRPP) et cotisations de sécurité sociale (CSS) - taux moyens combinés <p>The average personal income tax (PIT) rates (exclusive and inclusive of universal family cash transfers) for single persons and one-earner married couples with and without children, calculated at the average wage (100% AW).</p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Les taux moyens de l'impôt sur le revenu des personnes physiques (IRPP) (hors et y compris les transferts familiaux universels en espèces) pour les personnes seules et les couples mariés à un seul revenu avec et sans enfants, calculés au salaire moyen (100 % AW).</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT,SECTOR=S1311 DEFAULT Personal income tax (PIT) - central government rates and thresholds Impôt sur le revenu des personnes physiques (IRPP) - taux et seuils d'imposition de l'administration centrale <p>Statutory central government personal income tax (PIT) rates for wage income plus the taxable income thresholds at which these statutory rates apply.</p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Taux légaux de l'impôt sur le revenu des personnes physiques (IRPP) de l'administration centrale pour les revenus salariaux, plus les seuils de revenu imposable auxquels ces taux légaux s'appliquent.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW INCOME_PRINCIPAL LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,SECTOR=S13+S1311+S13M DEFAULT MEASURE:OECD.CTP.TPS:HCL_PIT_AVMR(1.0).H HIER_CONTEXT Personal income tax (PIT) and social security contributions (SSC) - marginal rates on gross wage earnings Impôt sur le revenu des personnes physiques (IRPP) et cotisations de sécurité sociale (CSS) - taux marginaux sur les revenus salariaux bruts <p>Marginal personal income tax (PIT) and social security contribution (SSC) rates for a single person without dependent, at various multiples (67%, 100%, 133%, 167%) of the AW/APW.</p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Taux marginaux de l'impôt sur le revenu des personnes physiques (IRPP) et des cotisations de sécurité sociale (CSS) pour une personne seule sans personne à charge, à différents multiples (67%, 100%, 133%, 167%) de la moyenne des salaires.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA,TAX_BASE LAYOUT_ROW TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,SECTOR LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT DEFAULT Personal income tax (PIT) - sub-central rates for a non-progressive system Impôt sur le revenu des personnes physiques (IRPP) - taux d'imposition au niveau infranational pour un système non progressif <p>The representative sub-central rates, tax allowances and credits used in other related personal income tax tables. Additional details are provided in the table Personal income tax (PIT) - top statutory and marginal tax rate.</p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <Les taux sous-centraux représentatifs, les abattements fiscaux et les crédits utilisés dans d'autres tableaux relatifs à l'impôt sur le revenu des personnes physiques. Des détails supplémentaires sont fournis dans le tableau Impôt sur le revenu des personnes physiques (IRP) - taux d'imposition statutaire et marginal le plus élevé.</p> <p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,HOUSEHOLD_TYPE=S_C0,CIVIL_STATUS=S,MEASURE=PIT_PROG,SECTOR=S13M DEFAULT Personal income tax (PIT) - sub-central rates and thresholds for a progressive system Impôt sur le revenu des personnes physiques (IRPP) - taux et seuils d'imposition au niveau infranational pour un système progressif <p>Sub-central personal income tax (PIT) systems with progressive rate structures, based on the representative case that applies to wage income of a single person with no dependents.</p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Systèmes sous-centraux d'impôt sur le revenu des personnes physiques (IRPP) avec des structures de taux progressifs, basés sur le cas représentatif qui s'applique au revenu salarial d'une personne célibataire sans personne à charge.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1,SECTOR=S13 DEFAULT Personal income tax (PIT) - top statutory and marginal tax rate Impôt sur le revenu des personnes physiques (IRPP) - taux légal maximal et taux marginal d'imposition <p>A single person without dependants based on the earnings level where the top statutory personal income tax rate first applies. The marginal tax rates are derived on the basis of a unit increase in gross wage earnings at the threshold.</p><p>Related topics: Taxing Wages, Labour taxation, Tax wedge decomposition, Average wage, Income, Household</p> <p>Une personne seule sans personne à charge, sur la base du niveau de revenus auquel s'applique pour la première fois le taux légal le plus élevé de l'impôt sur le revenu des personnes physiques. Les taux marginaux d'imposition sont calculés sur la base d'une augmentation unitaire des revenus salariaux bruts au niveau du seuil.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Décomposition du coin fiscal, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA,SCHEDULE LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Social security contributions (SSC) - employee rates Cotisations de sécurité sociale (CSS) - taux des employés <p>Employee social security contribution (SSC) rates and related provisions. Income thresholds in national currency and marginal rates as a percentage of taxable income.</p><p>Related topics: Taxing Wages, Labour taxation, Employer, Self-employed, Average wage, Income, Household</p> <p>Les taux des cotisations de sécurité sociale des salariés (CSS) et les dispositions qui s'y rapportent. Seuils de revenus en monnaie nationale et taux marginaux en pourcentage du revenu imposable.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Employeur, travailleurs indépendants, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA,SCHEDULE LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Social security contributions (SSC) - employer rates Cotisations de sécurité sociale (CSS) - taux des employeurs <p>Employer social security contribution (SSC) rates and related provisions. Income thresholds in national currency and marginal rates as a percentage of taxable income.</p><p>Related topics: Taxing Wages, Labour taxation, Employee, Self-employed, Average wage, Income, Household</p> <p>Les taux de cotisation des employeurs à la sécurité sociale (CSS) et les dispositions qui s'y rapportent. Seuils de revenus en monnaie nationale et taux marginaux en pourcentage du revenu imposable.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Employés, travailleurs indépendants, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA,SCHEDULE LAYOUT_ROW LEVEL,TRANSACTION,UNIT_MEASURE LAYOUT_COLUMN TIME_PERIOD,TAX_BASE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=1 DEFAULT Social security contributions (SSC) - self-employed rates Cotisations de sécurité sociale (CSS) - taux des travailleurs indépendants <p>Self-employed social security contribution (SSC) rates and related provisions. Income thresholds in national currency and marginal rates as a percentage of taxable income.</p><p>Related topics: Taxing Wages, Labour taxation, Employer, Employee, Average wage, Income, Household</p> <p>Les taux de cotisation à la sécurité sociale des travailleurs indépendants (CSS) et les dispositions qui s'y rapportent. Seuils de revenus en monnaie nationale et taux marginaux en pourcentage du revenu imposable.</p><p>Sujets associés : Les impôts sur les salaires, Les impôts sur le travail, Employeur, Employés, Salaire moyen, Revenu, Ménage.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=AV_TW,HOUSEHOLD_TYPE=S_C0,INCOME_PRINCIPAL=AW100,INCOME_SPOUSE=_Z,LASTNPERIODS=10 DEFAULT COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE COMBINED_CONCEPTS COMBINED_HOUSEHOLD_TYPE:Household type COMBINED_HOUSEHOLD_TYPE:Type de ménage MEASURE:OECD.CTP.TPS:HCL_TAX_WAGES_COMP(2.1).H HIER_CONTEXT Labour taxation – OECD comparative country indicators Les impôts sur le travail - Indicateurs comparatifs par pays de l'OCDE <p>Comparative indicators available in the OECD Taxing Wages publication. Unique information for each of the OECD member countries on the income taxes paid by workers, their social security contributions (SSC), the family benefits they receive in the form of cash transfers as well as the social security contributions (SSC) and payroll taxes paid by their employers. The amounts are set out, programme by programme, for 8 different household types. The results reported include the average and marginal tax burden for each household type.</p><p>Related topics: PIT, SSC, Top statutory tax rate, Thresholds, Income, Household</p> <p>Indicateurs comparatifs disponibles dans la publication de l'OCDE Les impôts sur les salaires. Informations uniques pour chacun des pays membres de l'OCDE sur les impôts sur le revenu payés par les travailleurs, leurs cotisations de sécurité sociale (CSS), les prestations familiales qu'ils reçoivent sous forme de transferts en espèces ainsi que les cotisations de sécurité sociale (CSS) et les impôts sur les salaires payés par leurs employeurs. Les montants sont présentés, programme par programme, pour 8 types de ménages différents. Les résultats présentés incluent la charge fiscale moyenne et marginale pour chaque type de ménage</p><p>Sujets associés : IRPP, CSS, Taux d'imposition statutaire le plus élevé, Seuils, Revenu, Ménage.</p> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW CIVIL_STATUS,HOUSEHOLD_TYPE,INCOME_PRINCIPAL LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0+S_C2,INCOME_PRINCIPAL=AW100+AW67+AW167,INCOME_SPOUSE=_Z,LASTNPERIODS=1 DEFAULT COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE COMBINED_CONCEPTS COMBINED_HOUSEHOLD_TYPE:Household type COMBINED_HOUSEHOLD_TYPE:Type de ménage MEASURE:OECD.CTP.TPS:HCL_TAX_WAGES_COU(2.1).H HIER_CONTEXT Labour taxation – OECD member country tables Les impôts sur le travail - tableaux des pays membres de l'OCDE <p>Detailed individual country tables available in the OECD Taxing Wages publication. Unique information for each of the OECD member countries on the income taxes paid by workers, their social security contributions (SSC), the family benefits they receive in the form of cash transfers as well as the social security contributions (SSC) and payroll taxes paid by their employers. The amounts are set out, programme by programme, for 8 different household types. The results reported include the average and marginal tax burden for each household type.</p><p>Related topics: PIT, SSC, Top statutory tax rate, Thresholds, Income, Household</p> <p>Des tableaux détaillés par pays sont disponibles dans la publication de l'OCDE Les impôts sur les salaires. Informations uniques pour chacun des pays membres de l'OCDE sur les impôts sur le revenu payés par les travailleurs, leurs cotisations de sécurité sociale (CSS), les prestations familiales qu'ils reçoivent sous forme de transferts en espèces ainsi que les cotisations de sécurité sociale (CSS) et les charges sociales payées par leurs employeurs. Les montants sont présentés, programme par programme, pour 8 types de ménages différents. Les résultats présentés incluent la charge fiscale moyenne et marginale pour chaque type de ménage.</p><p>Sujets associés : IRPP, CSS, Taux d'imposition statutaire le plus élevé, Seuils, Revenu, Ménage.</p> NonProductionDataflow true INCOME_PRINCIPAL LAYOUT_ROW UNIT_MEASURE,MEASURE LAYOUT_COLUMN CIVIL_STATUS,HOUSEHOLD_TYPE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,HOUSEHOLD_TYPE=S_C0,LASTNPERIODS=1 DEFAULT COMBINED_HOUSEHOLD_TYPE:CIVIL_STATUS,HOUSEHOLD_TYPE COMBINED_CONCEPTS COMBINED_HOUSEHOLD_TYPE:Household type COMBINED_HOUSEHOLD_TYPE:Type de ménage MEASURE:OECD.CTP.TPS:HCL_TAX_WAGES_DECOMP(2.1).H HIER_CONTEXT Labour taxation – tax wedge decompositions Les impôts sur le travail - décompositions du coin fiscal <p>Tax wedge decomposition tables for average and marginal indicators available in the OECD Taxing Wages publication. Unique information for each of the OECD countries on the income taxes paid by workers, their social security contributions (SSC), the family benefits they receive in the form of cash transfers as well as the social security contributions (SSC) and payroll taxes paid by their employers. The amounts are set out, programme by programme, over a range of earnings levels between 50% and 250% of the averge wage for four different household types.</p><p>The results reported include the average and marginal tax burden for each household type .</p><p>Related topics: PIT, SSC, Top statutory tax rate, Thresholds, Income, Household.</p> <p>Tableaux de décomposition du coin fiscal pour les indicateurs moyens et marginaux disponibles dans la publication de l'OCDE Les impôts sur les salaires. Informations uniques pour chacun des pays de l'OCDE sur les impôts sur le revenu payés par les travailleurs, leurs cotisations de sécurité sociale (CSS), les prestations familiales qu'ils reçoivent sous forme de transferts en espèces ainsi que les cotisations de sécurité sociale (CSS) et les charges sociales payées par leurs employeurs. Les montants sont présentés, programme par programme, sur une fourchette de niveaux de revenus comprise entre 50 % et 250 % du salaire moyen pour quatre types de ménages différents.</p><p>Les résultats présentés comprennent la charge fiscale moyenne et marginale pour chaque type de ménage.</p><p>Sujets associés : IRPP, CSS, Taux d'imposition statutaire le plus élevé, Seuils, Revenu, Ménage.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION COUNTERPART_AREA,LEGAL_BASIS,TREATY_DATE,FREQ,UNIT_MEASURE NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=STA DEFAULT Standard withholding tax rates - Corporate tax statistics Taux de retenue à la source standard - Statistiques de l'impôt sur les sociétés This table shows standard withholding tax rates applicable to businesses when they make payments to other foreign or domestic business entities or individuals, e.g., in the form of dividends, interest, and royalties. Governments collect these taxes based on statutory tax rates requiring businesses to withhold a fraction of cross-border payments in scope of the withholding tax. Ce tableau présente les taux standard de retenue à la source applicables aux entreprises lorsqu'elles effectuent des paiements à d'autres entités commerciales étrangères ou nationales ou à des particuliers, par exemple sous forme de dividendes, d'intérêts et de redevances. Les gouvernements perçoivent ces impôts sur la base de taux d'imposition légaux qui obligent les entreprises à retenir une fraction des paiements transfrontaliers dans le cadre de la retenue à la source. NonProductionDataflow true COUNTERPART_AREA,TREATY_DATE LAYOUT_ROW MEASURE LAYOUT_COLUMN TIME_PERIOD,REF_AREA LAYOUT_ROW_SECTION LEGAL_BASIS,FREQ,UNIT_MEASURE NOT_DISPLAYED LASTNPERIODS=1,DECIMALS=2,LEGAL_BASIS=TRE,REF_AREA=AUS DEFAULT Treaty based withholding tax rates - Corporate tax statistics Taux de retenue à la source basés sur les traités - Statistiques de l'impôt sur les sociétés This table shows standard withholding tax rates under bilateral treaties applicable to businesses when they make payments to other foreign or domestic business entities or individuals, e.g., in the form of dividends, interest, and royalties. Governments collect these taxes based on statutory tax rates requiring businesses to withhold a fraction of cross-border payments in scope of the withholding tax. Ce tableau présente les taux de retenue à la source standard prévus par les conventions bilatérales et applicables aux entreprises lorsqu'elles effectuent des paiements à d'autres entités commerciales étrangères ou nationales ou à des particuliers, par exemple sous la forme de dividendes, d'intérêts et de redevances. Les gouvernements perçoivent ces impôts sur la base de taux d'imposition légaux qui obligent les entreprises à retenir une fraction des paiements transfrontaliers dans le cadre de la retenue à la source. NonProductionDataflow true DD_ID,REF_AREA,RECIPIENT_TYPE,TIME_PERIOD,FIN_TYPE,CURRENCY,INTEREST_RATE,INTEREST_RATE_TYPE,CLAIM_RANK LAYOUT_ROW Debt Transparency Individual Transactions The data shows the individual transactions’ level data that is also used for the aggregate measures. The amount shown is in US dollars. More information on the transaction can be seen on the asterisk on the right and the download of all data is possible by downloading the unfiltered data (CSV). The DD ID is an internal measure to identify the transactions. NonProductionDataflow true CURRENCY LAYOUT_ROW TIME_PERIOD,FREQ LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION DD_DIM DRILLDOWN TIME_PERIOD,FIN_TYPE,CURRENCY,INTEREST_RATE,INTEREST_RATE_TYPE,FREQ,TRANS_REPAY,GRACE_PERIOD,REPAY_PROFILE_TIME,RECIPIENT,GUARANTOR_NAME,GUARANTOR_BENEF,TRANS_INSUR,CREDIT_PROV,LEAD_PROV DRILLDOWN_CONCEPTS DD_ID,DD_DIM,RECIPIENT,CREDIT_PROV,LEAD_PROV,CURRENCY_MULTI,ORIG_CURR_VALUE,GRACE_PERIOD,TRANS_REPAY,FREQ,REPAY_PROFILE_TIME,REPO_COLL,FIN_PURPOSE,GUARANTOR_NAME,GUARANTOR_BENEF,FIN_DOC_LAW,WAIVER_IMMUN,DISPUTE_RES_MECH,EMBARGO_TIME,ISIN,DEF_EVENT_COND,TRANS_INSUR,SUSTAINABILITY,PRICE_ISSUANCE NOT_DISPLAYED TIME_PERIOD_START=2000,FREQ=M,DD_DIM=_T DEFAULT Debt Transparency Aggregates The aggregates include two measures of debt data. Gross debt outstanding (USD) comprises the internally calculated outstanding debt by country in US Dollars, while Gross amount of new financing includes the countries’ new financing amount for each year. The aggregates reflect the data available to the OECD and do not intend to reflect exactly the debt situation of the countries included. By clicking on the chosen datapoint, users will be able to see the underlying transactions constituting the aggregates. NonProductionDataflow true MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.03 SEARCH_WEIGHT Benefit payments and contributions to asset-backed pensions Paiements de prestations et cotisations de la retraite par capitalisation Benefits represent one of the sources of outflows from pension plans while contributions are one of the sources of inflows. Benefits are payments made to plan members (or dependants) after retirement, and can take the form of a lump sum or pension. Contributions are payments that can be made to a plan by the sponsors or members. Users can find the amount of benefits and contributions in several units (national currency, USD and as a percentage of GDP), as well as the split of contributions between employees and employers (in national currency, USD and as a percentage of total contributions) in this dataset. Les prestations représentent l'une des sources de sortie de fonds des plans de retraite, tandis que les cotisations sont l'une des sources de revenu. Les prestations sont des paiements versés aux adhérents (ou aux personnes à charge) après la retraite et peuvent prendre la forme d'une somme forfaitaire ou d'une rente. Les cotisations sont des paiements qui peuvent être effectués à un plan par les promoteurs ou les adhérents. Les utilisateurs peuvent trouver le montant des prestations et des cotisations dans plusieurs unités (monnaie nationale, dollar américain et en pourcentage du PIB), ainsi que la répartition des cotisations entre les employés et les employeurs (en monnaie nationale, dollar américain et en pourcentage des cotisations totales) dans cet ensemble de données. NonProductionDataflow true MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,PLAN_TYPE,DEFINITION_TYPE,VEHICLE_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=1000,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.07 SEARCH_WEIGHT Asset-backed pensions - main database Retraite par capitalisation - base de données principale This database on asset-backed pensions is based on data collected through the OECD Global Pension Statistics exercise. Data come from various administrative sources, mainly: pension supervisory authorities, financial market authorities, ministries of finance, or national statistical offices. Data cover all asset-backed pension arrangements where assets are accumulated to back future benefit payments, except reserves of public (pay-as-you-go) pension arrangements. Asset-backed pension plans may be financed through different vehicles (such as pension funds, pension insurance contracts, bank or investment company managed funds), publicly or privately administered, mandatory or voluntary, occupational or personal, defined benefit (DB) or defined contribution (DC), for public or private-sector workers. Employers’ book reserves are also in the scope. This database includes various statistics and indicators on asset-backed pensions such as the amount of assets earmarked for retirement, the liabilities of pension providers, their revenues, their expenditure, the number of funds and plans, as well as plan membership. These statistics and indicators can be split by type of financing vehicle and type of plan. Cette base de données sur la retraite par capitalisation est basée sur des données collectées dans le cadre de l’exercice des statistiques mondiales sur les pensions de l’OCDE. Les données proviennent de diverses sources administratives, principalement : autorités de contrôle des retraites, autorités des marchés financiers, ministères des finances ou offices nationaux de statistique. Les données couvrent tous les régimes de retraite par capitalisation dans lesquels des actifs sont accumulés pour garantir les paiements de prestations futures, à l’exception des réserves des régimes de retraite publics (par répartition). Les régimes de retraite par capitalisation peuvent être financés par différents véhicules (tels que des fonds de pension, des contrats d’assurance retraite, des fonds gérés par des banques ou des sociétés d’investissement), administrés par une institution publique ou privée, obligatoires ou volontaires, professionnels ou individuels, à prestations définies ou à cotisations définies, pour les travailleurs du secteur public ou privé. Les réserves comptables des employeurs sont également dans le champ d'étude. Cette base de données comprend diverses statistiques et indicateurs sur la retraite par capitalisation comme par exemple les actifs destinés à la retraite, les engagements des organismes de retraite, leurs revenus, leurs dépenses, le nombre de fonds et de plans, ainsi que le nombre d'adhérents. Ces statistiques et indicateurs peuvent être décomposés par type de financement et par type de plan. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 1.02 SEARCH_WEIGHT Pension plan membership Adhésion aux régimes de retraite Members of pension plans are those who are either active (working or contributing, and hence actively accumulating assets), passive (retired, and hence receiving benefits) or deferred (holding deferred benefits) participants in a pension plan. This dataset shows the proportion of active, deferred and passive members, as well as the proportion of men and women participant in a plan, as a percentage of total members. These indicators are available by type of pension plan (occupational or personal, defined benefit (DB) or defined contribution (DC)) and financing vehicle (e.g. pension funds, pension insurance contracts, other financing vehicle). Les adhérents des plans de retraite sont ceux qui sont soit actifs (travaillant ou cotisant, et donc accumulant activement des actifs), passifs (retraités, et donc recevant des prestations) ou titulaires de droits différés dans un plan de retraite. Cet ensemble de données montre la proportion d'adhérents actifs, titulaires de droits différés et passifs, ainsi que la proportion d'hommes et de femmes participant à un plan, en pourcentage du total des adhérents. Ces indicateurs sont disponibles par type de plan de retraite (professionnel ou individuel, à prestations définies ou à cotisations définies) et par financement (par exemple, fonds de pension, contrats d'assurance-retraite, autre véhicule de financement). NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 1.01 SEARCH_WEIGHT Operating costs of asset-backed pensions Coûts de fonctionnement de la retraite par capitalisation Operating costs include all costs of administration and investment management involved in the process of transforming pension contributions into retirement benefits. Indicators on operating costs also reflect the extent to which data are available in each jurisdiction for the different types of costs pension providers (such as pension funds, insurance companies, banks or investment funds offering pension arrangements) incur. This dataset shows the investment expenses and administrative expenses of pension providers expressed as a percentage of total assets. These indicators are available by type of pension plan (occupational or personal, defined benefit (DB) or defined contribution (DC)) and financing vehicle (e.g. pension funds, pesnion insurance contracts, other financing vehicle). Les coûts de fonctionnement comprennent tous les coûts d'administration et de gestion des investissements impliqués dans le processus de transformation des cotisations de retraite en prestations de retraite. Les indicateurs sur les coûts de fonctionnement reflètent également la mesure dans laquelle les données sont disponibles dans chaque juridiction pour les différents types de coûts supportés par les prestataires de retraite (tels que les fonds de pension, les compagnies d'assurance, les banques ou les fonds d'investissement proposant des régimes de retraite). Cet ensemble de données montre les dépenses d’investissement et les coûts d'administration des prestataires de retraite, exprimés en pourcentage du total des actifs. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=USD, VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.06 SEARCH_WEIGHT Assets earmarked for retirement Actifs destinés à la retraite Assets earmarked for retirement are assets accumulating to back future benefit payments. These assets may accumulate in pension funds, pension insurance contracts, bank or investment company managed funds. They may be in occupational or personal plans, defined benefit (DB) or defined contribution (DC) plans. This dataset shows the amount of assets - expressed in national currency, USD and as a percentage of GDP - by type of vehicle. Data cover employers’ book reserves but do not cover reserves of public (pay-as-you-go) pension arrangements. Les actifs destinés à la retraite sont des actifs accumulés pour couvrir les futurs versements de prestations. Ces actifs peuvent s’accumuler dans des fonds de pension, des contrats d’assurance retraite, des fonds gérés par des banques ou des sociétés d’investissement. Ils peuvent être dans des plans professionnels ou individuels, à prestations définies ou à cotisations définies. Cet ensemble de données montre le montant des actifs - exprimé en monnaie nationale, en dollar américain et en pourcentage du PIB - par type de véhicule. Les données couvrent les réserves comptables des employeurs, mais pas les réserves des régimes de retraite publics (par répartition). NonProductionDataflow true VEHICLE_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE,PLAN_TYPE,DEFINITION_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=AFV DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 1.05 SEARCH_WEIGHT Structure of asset-backed pensions Structure de la retraite par capitalisation The pension landscape includes various types of plans around the world. These plans may finance the future benefits of retirees through different vehicles (such as pension funds, reserves in employers' book, pension insurance contracts, bank or investment company managed funds). They may be publicly or privately administered, mandatory or voluntary, occupational or personal, defined benefit (DB) or defined contribution (DC), for public or private-sector workers. This dataset shows the split of assets by type of vehicle. It also includes the split of occupational pension assets between DB and DC plans. Users can also find the amount of assets in occupational and personal plans, as well as assets in DB and DC plans expressed as a percentage of GDP. Il y a différents types de plans dans le paysage des régimes de retraite à travers le monde. Ces plans peuvent financer les prestations futures des retraités par le biais de différents instruments (fonds de pension, réserves dans les comptes des employeurs, contrats d'assurance retraite, fonds gérés par des banques ou des sociétés d'investissement). Ils peuvent être administrés par une institution publique ou privée, obligatoires ou volontaires, professionnels ou individuels, à prestations définies ou à cotisations définies, destinés aux travailleurs du secteur public ou privé. Cet ensemble de données montre la répartition des actifs par type de véhicule. Il comprend également la répartition des actifs des plans de retraite professionnels entre les plans à prestations définies et les plans à cotisations définies. Les utilisateurs peuvent également trouver le montant des actifs des plans professionnels et individuels, ainsi que les actifs des plans à prestations définies et à cotisations définies exprimés en pourcentage du PIB. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=PT_AS,PLAN_TYPE=_T,DEFINITION_TYPE=_T,VEHICLE_TYPE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.04 SEARCH_WEIGHT Asset allocation of pension funds and other pension providers Répartition des actifs des fonds de pension et autres prestataires de retraite The way assets earmarked for retirement are invested in financial markets varies across jurisdictions. The OECD Global Pension Statistics exercise collects both direct investments in various instruments and vehicles and indirect investments through collective investment schemes. This dataset shows the asset allocation of pension providers (e.g. pension funds, insurance companies offering pension insurance contratcs, and other providers) by type of asset class or instrument, expressed in national currency, USD, as a percentage of total assets (and as a percentage of total holdings of a given instrument in some cases). La manière dont les actifs destinés à la retraite sont investis sur les marchés financiers varie selon les juridictions. L'exercice de l'OCDE sur les statistiques mondiales des pensions recueille à la fois des données sur les investissements directs dans divers instruments et véhicules et des données sur les investissements indirects par le biais de plans de placement collectif. Cet ensemble de données montre la répartition des actifs des fournisseurs de pensions (par exemple, les fonds de pension, les compagnies d'assurance proposant des contrats d'assurance pension et d'autres fournisseurs) par type de classe d'actifs ou d'instrument, exprimée en monnaie nationale, dollar américain, en pourcentage du total des actifs (et en pourcentage du total des avoirs d'un instrument donné dans certains cas). NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=INV+CASH+BOND+LOAN+SHARE+REST+CIS+PEQUF+HEDGE+STRPRDT+UNITLINK+INV_O,UNIT_MEASURE=USD,OWNERSHIP=UND_T,INSURANCE_TYPE=_T,INSURER_TYPE=DIR,DESTINATION=_T DEFAULT 1.011 SEARCH_WEIGHT Asset allocation of insurance companies Répartition des actifs des compagnies d'assurance This dataset shows the direct investments of insurers in a detailed list of financial instruments and their indirect investments through collective investment schemes. Users can find the asset allocation broken down by ownership of insurance companies (domestic undertakings, foreign controlled undertakings and branches and agencies), insurance type (life, non-life, composite), insurer type (direct insurer, reinsurer) and destination of investments (domestic or foreign). Cet ensemble de données présente les investissements directs des assureurs dans une liste détaillée d'instruments financiers et leurs investissements indirects par le biais d'organismes de placement collectif. Les utilisateurs peuvent trouver la répartition des actifs ventilée par propriété des compagnies d'assurance (entreprises nationales, les entreprises sous contrôle étranger et succursales et agences), type d'assurance (vie, non-vie, mixte), type d'assureur (assureur direct, réassureur) et destination des investissements (nationaux ou étrangers). NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=USD,INSURANCE_TYPE=_T,INSURER_TYPE=DIR DEFAULT 1.009 SEARCH_WEIGHT Balance sheet and income statement of insurance companies Bilan et compte de résultat des compagnies d'assurance This dataset covers multiple items pertaining to the balance sheet and income statement of direct insurers and reinsurers, such as assets, technical provisions, shareholders' equity, net income, gross claims paid, gross operating expenses, commissions and changes in outstanding claims provisions. Cet ensemble de données couvre plusieurs éléments relatifs au bilan et au compte de résultat des assureurs directs et des réassureurs, tels que les actifs, les provisions techniques, les capitaux propres, le résultat net, les sinistres bruts payés, les dépenses d'exploitation brutes, les commissions et les variations des provisions pour sinistres impayés. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=GRS,UNIT_MEASURE=USD,OWNERSHIP=BASUB_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,COUNTERPART_AREA=W DEFAULT 1.012 SEARCH_WEIGHT Insurance business written abroad Activité d'assurance souscrite à l'étranger This dataset covers insurance business written abroad by branches, agencies and subsidiaries. This information is available by home jurisdiction (reference area), and by foreign (host) jurisdiction in the OECD (counterpart area). The breakdown by counterpart area is only available for branches and agencies (Go to the “Ownership” filter). Cet ensemble de données couvre les activités d'assurance souscrites à l'étranger par des succursales, des agences et des filiales. Ces informations sont disponibles par juridiction d'origine (zone de référence) et par juridiction étrangère (d'accueil) dans la zone OCDE (zone de contrepartie). La répartition par zone de contrepartie n'est disponible que pour les succursales et les agences (Allez dans le filtre "Propriétaire"). NonProductionDataflow true INSURANCE_CLASS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=GRS,UNIT_MEASURE=USD,INSURANCE_BUSINESS=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA DEFAULT 1.013 SEARCH_WEIGHT Insurance business written by class of insurance Activité d'assurance souscrite par branche d'assurance This dataset covers the breakdown of premiums by insurance class for life and non-life insurance. Cet ensemble de données couvre la répartition des primes par catégorie d'assurance pour l'assurance vie et non-vie. NonProductionDataflow true MEASURE,PREMIUMS,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED INSURANCE_TYPE=_T DEFAULT 1.015 SEARCH_WEIGHT Insurance indicators Indicateurs d'assurance This dataset includes key indicators on the insurance industry, such as insurance penetration (gross written premiums as a percentage of GDP), insurance density (gross written premiums in USD per capita), the share of life and non-life insurance in the total insurance business (life and non-life gross written premiums as a percentage of gross premiums), the retention ratio (net written premiums as a percentage of gross premiums) and the reinsurance share (reinsurance accepted as a percentage of gross premiums). This dataset also shows the domestic market share of foreign-controlled undertakings and branches/agencies in each reporting jurisdiction, and the geographical distribution of premiums written within the OECD. Cet ensemble de données comprend des indicateurs clés sur le secteur de l'assurance, tels que la pénétration de l'assurance (primes brutes émises en pourcentage du PIB), la densité de l'assurance (primes brutes émises en dollars des États-Unis par habitant), la part de l'assurance vie et non-vie dans le total des activités d'assurance (primes brutes émises en assurance vie et non-vie en pourcentage des primes brutes), le ratio de rétention (primes nettes émises en pourcentage des primes brutes) et la part de réassurance (réassurance acceptée en pourcentage des primes brutes). Cet ensemble de données montre également la part de marché domestique des entreprises et des succursales/agences sous contrôle étranger dans chaque juridiction déclarante, ainsi que la répartition géographique des primes émises au sein de l'OCDE. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OWNERSHIP LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED MEASURE=UND,INSURANCE_TYPE=_T,EMPLOYER_TYPE=_Z DEFAULT 1.008 SEARCH_WEIGHT Insurance companies and employees Compagnies d'assurance et employés This dataset shows the number of insurance companies operating in the life sector, non-life sector and both (i.e. composite companies), as well as the number of reinsurance companies, broken down by domestic, foreign-controlled and branches/agencies. This dataset also includes the overall number of employees in insurance companies and intermediaries in each jurisdiction. Cet ensemble de données indique le nombre de compagnies d'assurance opérant dans le secteur de l'assurance vie, le secteur non-vie et les deux (c'est-à-dire des entreprises mixtes), ainsi que le nombre de sociétés de réassurance, ventilés entre compagnies nationales, sous contrôle étranger et des succursales/agences. Cet ensemble de données comprend également le nombre total d'employés dans les compagnies d'assurance et les intermédiaires dans chaque juridiction. NonProductionDataflow true MEASURE,CONTRACT_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,CONF_STATUS=F,UNIT_MULT=0 NOT_DISPLAYED UNIT_MEASURE=USD,OWNERSHIP=UND_T,INSURANCE_TYPE=_T,INSURANCE_BUSINESS=_T,CONTRACT_TYPE=_T+_Z,RISK_LOCATION=_Z DEFAULT 1.014 SEARCH_WEIGHT Premiums, claims and expenses of insurance companies Primes, sinistres et dépenses des compagnies d'assurance This dataset shows some of the main variables of the technical operations of insurance companies. It includes the amount of gross premiums written by insurance companies, the amount of reinsurance accepted, premiums ceded and net premiums written. This dataset also provides the amount of gross claims payments, gross operating expenses and commissions of insurers. This information is available by ownership (domestic undertakings, foreign-controlled undertakings and branches and agencies), insurance type (life, non-life, composite) and insurance business (direct business, reinsurance accepted). It also provides a breakdown between a single and regular premium payments, and coverage provided for domestic risks and risks situated outside the reporting jurisdiction. Cet ensemble de données présente certaines des principales variables des opérations techniques des compagnies d'assurance. Il comprend le montant des primes brutes souscrites par les compagnies d'assurance, le montant de la réassurance acceptée, les primes cédées ainsi que les primes nettes souscrites. Cet ensemble de données fournit également le montant des paiements bruts de sinistres, des dépenses d'exploitation brutes et des commissions des assureurs. Ces informations sont disponibles par type de propriété (entreprises nationales, entreprises sous contrôle étranger et succursales et agences), type d'assurance (vie, non-vie, mixte) et type d'activité d'assurance (activité directe, réassurance acceptée). Il fournit également une répartition entre les paiements de primes uniques et réguliers, ainsi que la couverture fournie pour les risques nationaux et les risques situés en dehors de la juridiction déclarante. NonProductionDataflow true CARTEL_NAME,BID_RIGGING,INDUSTRY,SANCTION_TYPE LAYOUT_ROW JURISDICTION LAYOUT_ROW_SECTION DD_DIM,DD_ID NOT_DISPLAYED DD_DIM=_T DEFAULT EXT_RESOURCE CARTEL database methodology|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/competition-and-international-co-operation/guide-to-the-oecd-international-cartels-database.pdf La méthodologie de la base de données CARTEL|https://www.oecd.org/content/dam/oecd/en/topics/policy-sub-issues/competition-and-international-co-operation/guide-to-the-oecd-international-cartels-database.pdf DD_DIM DRILLDOWN The OECD International Cartels Database (microdata) Base de données de l'OCDE sur les les ententes internationales <p><span>The OECD International Cartels Database aims at capturing information on international cartels, based on public sources. The OECD cannot guarantee that the OECD International Cartels Database is error-free and accepts no liability whatsoever for timeliness, correctness, and completeness.</span></p> <p><span>A Private international cartel is an anticompetitive agreement between two or more market players and is defined international if it: (i) has at least one participant whose headquarters, residency or nationality is outside the jurisdiction of the authority investigating the cartel; or (ii) includes members from at least two different nationalities. &nbsp;</span></p> <p><span>The OECD International Cartels Database is based on the first official decision issued by the relevant authority and information on appeal may not have been included in the OECD International Cartels Database. Therefore, a &ldquo;fine&rdquo; in the OECD International Cartels Database indicates the fine imposed by the relevant authority reported in the (first) decision. A &ldquo;fine after appeal&rdquo; indicates the fine imposed after a decision on appeal which is publicly released.</span></p> <p><span>The information in the OECD International Cartels Database does not necessarily reflect the official views of the OECD or of its member countries. The OECD International Cartels Database may be modified over time without notice as the OECD conducts periodic updates. The OECD would welcome any correction of typos or inaccuracies. Please e-mail&nbsp;</span><span><a href="mailto:ICSTATS@oecd.org\">ICSTATS@oecd.org</a></span><span>.</span></p> <p><strong>Note:</strong>&nbsp;Please be aware that this database will not be further updated and that the information available corresponds to the period 2010-2024.</p> <p><strong><span>Other relevant websites:</span></strong></p> <p><span><a href="https://www.oecd.org/competition/\">https://www.oecd.org/competition/</a></span></p> <p><span><a href="https://www.oecd.org/en/topics/competition-and-international-co-operation.html">https://www.oecd.org/en/topics/competition-and-international-co-operation.html</a></span></p> <p><span><a href="https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452\">https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452</a></span></p> <p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">La base de données de l'OCDE sur les ententes internationales vise à recueillir des informations sur les ententes internationales à partir de sources publiques. L'OCDE ne peut garantir l'absence d'erreurs dans cette base de données et décline toute responsabilité quant à son actualité, son exactitude et son exhaustivité.</span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">Un cartel international privé est un accord anticoncurrentiel entre deux ou plusieurs acteurs du marché et est défini comme international s'il : (i) compte au moins un participant dont le siège social, la résidence ou la nationalité se situe en dehors de la juridiction de l'autorité qui enquête sur le cartel ; ou (ii) comprend des membres d'au moins deux nationalités différentes.&nbsp; </span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">La base de données de l'OCDE sur les ententes internationales est basée sur la première décision officielle rendue par l'autorité compétente et les informations relatives aux recours peuvent ne pas y avoir été incluses. Par conséquent, une &ldquo;fine&rdquo; dans la base de données de l'OCDE sur les ententes internationales, indique l'amende imposée par l'autorité compétente signalée dans la (première) décision. Une &ldquo;fine after appeal&rdquo; indique l'amende imposée après une décision en appel rendue publique.</span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: #182026;\">Les informations contenues dans la base de données de l'OCDE sur les ententes internationales ne reflètent pas nécessairement les positions officielles de l'OCDE ou de ses pays membres. La base de données de l'OCDE sur les ententes internationales est susceptible d'être modifiée sans préavis, l'OCDE procédant à des mises à jour périodiques. Toute correction d'erreurs typographiques ou d'inexactitudes serait la bienvenue. Veuillez nous contacter par e-mail: l </span><span style=\"color: black;\"><a href="mailto:ICSTATS@oecd.org\">ICSTATS@oecd.org</a></span><span style=\"color: #182026;\">.</span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><strong><span style=\"color: #182026;\">Note</span></strong><span style=\"color: #182026;\">: Veuillez noter que la base de données de l'OCDE sur les ententes internationales est en cours de migration vers le nouveau site web de l'OCDE. Les informations disponibles à ce stade correspondent à la période 2010-2024. Les affaires des années précédentes seront mises en ligne dès que possible. </span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><strong><span style=\"font-family: 'Calibri',sans-serif; color: #182026;\">Autres sites Web pertinents:</span></strong></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: black;\"><a href="https://www.oecd.org/competition/\">https://www.oecd.org/competition/</a></span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: black;\"><a href="https://www.oecd.org/en/topics/competition-and-international-co-operation.html">https://www.oecd.org/en/topics/competition-and-international-co-operation.html</a></span></p><p style=\"text-align: justify; background: white; margin: 0cm 0cm 8.0pt 0cm;\"><span style=\"color: black;\"><a href="https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452\">https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0452</a></span></p> NonProductionDataflow true INFO LAYOUT_ROW JURISDICTION LAYOUT_COLUMN The Competition Enforcement Co-operation Database The Competition Enforcement Co-operation Database <p>This database was designed to help improve transparency and trust in international enforcement co-operation between competition authorities by sharing data provided by over 60 jurisdictions worldwide.</p> <p>It gives consistent information regarding the ability of competition authorities to co-operate on enforcement matters, and provide counterpart authorities with easy-to-access information about their co-operation practices, processes and preferences.</p> <p>Data is obtained by using the filters on the left side of the screen. You can filter the database by jurisdiction or survey topic, then click the Table button at the top of the page to view the output.</p> <p>5 sets of data are included:</p><div>1. Jurisdiction and authority general information<br/>2. Contacts in charge of international enforcement co-operation<br/>3. Practices in terms of international enforcement co-operation<br/>4. Legal Bases for international enforcement co-operation<br/>5. Availability of co-operation instruments<br/></div><p>The field &ldquo; Questions &rdquo; correspond to the online survey serving as a base to the collection of the data. The OECD Members appear first, followed by non-OECD Member countries.</p><h3>Background</h3><p>This Database is part of a workstream on international enforcement co-operation developed by the OECD Competition Committee through its Working Party 3 on Co-operation and Enforcement (<a href="https://www.oecd.org/competition/oecd-icn-report-on-international-cooperation-in-competition-enforcement-2021.htm" target=_blank>2021 OECD/ICN Report</a> and <a href="https://www.oecd.org/daf/competition/international-cooperation-on-competition-investigations-and-proceedings-progress-in-implementing-the-2014-recommendation.htm" target=_blank>Report to Council on the Implementation of the 2014 Recommendation</a>.</p><p>The CEC Database is meant to be updated annually and it is open to <b>all</b> competition agencies worldwide regardless if they are OECD Members or not. The current version dates from August 2022 and was built based on a template survey circulated online to all OECD and ICN jurisdictions (access a pdf copy of survey <a href="https://survey.oecd.org/upload/surveys/184439/files/CEC-Template-2022.pdf" target=_blank>here</a> for information). </p><p>If your authority wishes to participate in the next update, please contact <a href="mailto:Antonio.CAPOBIANCO@oecd.org">Antonio.CAPOBIANCO@oecd.org</a>. </p> <h3>Disclaimer</h3><p>The information is shown as provided by the contributing competition authorities. They were free to decide on the amount of information they wanted to submit and make publicly accessible. The accuracy of the information is within the sole responsibility of the contributing authorities.</p><p>Information contained in this database does not imply the expression of any opinion whatsoever on the part of the OECD Secretariat or its Members concerning the legal status of any country or of its authorities. Its content, as well as any data and any maps displayed are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.</p><p>The use of the OECD International Cartels Database is governed by the Terms and Conditions governing the <a href="https://www.oecd.org" target=_blank>OECD website</a>, which you can access via the link at the bottom of this webpage.</p> <h3>Related OECD work and work products</h3><ul><li><a href="https://www.oecd.org/competition/internationalco-operationandcompetition.htm" target=_blank>International Co-operation homepage</a></li><li><a href="https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0408" target=_blank>OECD Recommendation concerning International Co-operation on Competition Investigation NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE_PRINCIPLE,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION ACCOUNTING_ENTRY=NET_FDI,TYPE_ENTITY=_Z,FDI_COMP=D,SECTOR=S1,COUNTERPART_AREA=W,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=T_FA_F,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI main aggregates, BMD4 Principaux agrégats d'IDE, BMD4 <b>This dataset <i>FDI main aggregates, BMD4</i> is updated every quarter and includes quarterly and annual aggregate inward and outward Foreign Direct Investment (FDI) flows, positions and income for OECD reporting economies and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa).</b><p>It is a simplified dataset with fewer breakdowns compared to the other separate datasets specifically dedicated to FDI flows, FDI positions or FDI income aggregates. In this dataset, FDI statistics are presented on directional basis only (unless otherwise specified, see metadata attached at the reporting country level) and resident Special Purpose Entities (SPEs), when they exist, are excluded (unless otherwise stated, see metadata attached at the reporting country level).</p><p>FDI aggregates are measured in USD millions, in millions of national currency and as a share of GDP.</p><p> This dataset supports FDI aggregates indicators available from the <a href="https://data.oecd.org/searchresults/?q=FDI”>OECD Data Portal</a>, and also supports the OECD bi-annual publication <a href="https://www.oecd.org/investment/statistics.htm”>FDI in Figures</a>.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI aggregates under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=..&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS">FDI series of BOP and IIP aggregates</a></p> <b>Cet ensemble de données <i>Principaux agrégats d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les flux, positions et revenus d'investissements directs étrangers (IDE) trimestriels et annuels entrants et sortants, pour les économies déclarantes de l'OCDE et pour les pays non-OCDE du G20 (Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud).</b><p>Il s’agit d’un ensemble de données simplifié avec moins de ventilations par rapport aux autres ensembles de données respectivement dédiés aux flux d’IDE, aux positions d’IDE ou aux agrégats de revenus d’IDE. Dans cet ensemble de données, les statistiques d'IDE sont présentées sur une base directionnelle uniquement (sauf indication contraire, voir les métadonnées attachées au niveau du pays déclarant) et les Entités à Vocation Spéciales (EVS) résidentes, lorsqu'elles existent, sont exclues (sauf indication contraire, voir les métadonnées attachées au niveau du pays déclarant).</p><p>Les agrégats d'IDE sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p> Cet ensemble de données sous-tend les indicateurs d'IDE par zone de contrepartie et par activité économique disponibles à partir du <a href=" https://data.oecd.org/searchresults/?q=FDI”>Portail de données de l'OCDE</a>, et prend également en charge la publication semestrielle de l'OCDE <a href="https://www.oecd.org/ Investment/statistics.htm”>FDI in Figures</a>.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style=" liste-style-type=carré"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées d'agrégats d'IDE selon la précédente méthodologie BMD3 sont accessibles dans l'ensemble de données archivé <a href="https:/ /data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=..&to[TIME_PERIOD]=false&lo= 5&lom=LASTNPERIODS">IDE séries agrégées de BP et PEG</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION ACCOUNTING_ENTRY=NET_FDI,TYPE_ENTITY=_Z,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=_Z,FDI_COLLECTION_ID=CTRY_IND_HIST,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=LE_FA_F+T_FA_F+T_D4P_F,UNIT_MEASURE=USD_EXC+RC,MEASURE_PRINCIPLE=DI,MEASURE=T_FA_F,COUNTERPART_AREA=W,ACTIVITY=_T,TIME_PERIOD_START=2005 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI by counterpart area and by economic activity, BMD4 and historical BMD3 Statistiques d'IDE par zone de contrepartie et par activité économique, BMD4 et séries historiques BMD3 <b>This dataset <i>FDI by counterpart area and by economic activity, BMD4 and historical BMD3</i> includes long time series of FDI statistics by partner country and by industry. It uses available BMD4 series and combines them with BMD3 historical series (from the unrevised OECD FDI datasets according to BMD3) as far back as 2005 and identifies breaks in series.</b><p>For selected countries, breaks in series were removed as there was no significant impact of BMD4 implementation.</p><p>In this dataset, inward and outward FDI flows, positions and income include resident SPEs when they exist (unless otherwise stated, see metadata attached at the reporting country level); and they are allocated to the immediate counterpart country (unless otherwise specified, see metadata attached at the reporting country level).</p><p>Inward and outward FDI statistics in this datset are presented on a directional basis (unless otherwise stated, see metadata attached at the reporting country level); they are measured in USD millions, in millions of national currency and as a share of total (for FDI positions only).</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"><li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li><li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données combine les statistiques d'IDE selon BMD4 avec des séries historiques de statistiques d'IDE selon BMD3.</b><p><b>Cet sensemble de données <i>IDE par zone de contrepartie et par activité économique, BMD4 et séries historiques BMD3</i> inclut des séries longues de statistiques d’IDE par zone de contrepartie et par activité économique. Cet ensemble de données utilise les séries BMD4 disponibles combinées avec des séries historiques BMD3 (provenant des ensembles de données d’IDE non réviséesselon BMD3) jusque 2005 avec indication des coupures de séries.</b></p><p>Dans cet ensemble de données, les flux, positions et revenus d’IDE entrants et sortants incluent les Entités à Vocation Spéciale (EVS) résidentes lorsqu’elles existent (sauf indication contraire, se référer aux métadonées attachées au niveau du pays déclarant); et ils sont alloués à la zone de contrepartie immédiate (sauf indication contraire, se référer aux métadonées attachées au niveau du pays déclarant).</p><p>Les statistiques d’IDE entrant et sortant dans cet ensemble de données sont présentées selon une base directionnelle (sauf indication contraire, se référer aux métadonées attachées au niveau du pays déclarant); elles sont mesureés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du total (pour les données de positions d’IDE uniquement).</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière d'investissement direct étranger (IDE) statistiques :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données concernent d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION ACCOUNTING_ENTRY=NET_FDI,TYPE_ENTITY=_Z,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=_Z,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=LE_FA_F+T_FA_F+T_D4P_F,UNIT_MEASURE=USD_EXC+RC,COUNTERPART_AREA=W,ACTIVITY=_T,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H,ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI by counterpart area and by economic activity, BMD4 Statistiques d'IDE par zone de contrepartie et par activité économique, BMD4 <b>This dataset <i>FDI by counterpart area and by economic activity, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) flows, positions and income by partner country and by economic activity for OECD reporting economies.</b><p>It is a simplified dataset with fewer breakdowns compared to the other separate datasets specifically dedicated to FDI flows, FDI positions or FDI income by counterpart area, or by economic activity. In this dataset, FDI exclude resident SPEs, when they exist (unless otherwise stated, see metadata attached at the reporting country level); and inward FDI positions are allocated to the ultimate counterpart country when available (see metadata attached at the reporting country level). <p>Inward and outward FDI statistics in this dataset are presented on a directional basis (unless otherwise stated, see metadata attached at the reporting country level); they are measured in USD millions, in millions of national currency and as a share of total (for FDI positions only).</p><p> This dataset supports FDI indicators by counterpart area and by economic activity available from the <a href="https://data.oecd.org/searchresults/?q=FDI">OECD Data Portal</a>.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>IDE par zone de contrepartie et par activité économique, BMD4</i> comprend les flux, les positions et les revenus d’investissements directs étrangers (IDE) entrants et sortants par pays partenaire et par activité économique les économies déclarantes de l’OCDE.</b><p> Il s'agit d'un ensemble de données simplifié avec moins de ventilations par rapport aux autres ensembles de données distinctivement dédiés aux flux d'IDE, aux positions d'IDE ou aux revenus d'IDE par zone de contrepartie ou par activité économique. Dans cet ensemble de données, les entités à vocation spéciales (EVS) résidentes, lorsqu'elles existent, sont exclues (sauf indication contraire, voir les métadonnées attachées au niveau du pays déclarant) ; et les positions d'IDE entrants sont attribuées au pays de contrepartie ultime lorsque cette allocation est disponible (voir les métadonnées jointes au niveau du pays déclarant). <p>Les statistiques d’IDE entrants et sortants dans cet ensemble de données sont présentées sur une base directionnelle (sauf indication contraire, voir les métadonnées jointes au niveau du pays déclarant) ; elles sont mesurées en millions de dollars américains, en millions de monnaie nationale et en part du total (pour les positions d'IDE uniquement).</p><p> Cet ensemble de données sous-tend les indicateurs d'IDE par zone de contrepartie et par activité économique disponibles sur le <a href ="https://data.oecd.org/searchresults/?q=FDI">Portail de données de l'OCDE</a>.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière d'investissement direct étranger ( IDE) statistiques :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données concernent d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true REF_AREA,TYPE_ENTITY LAYOUT_ROW MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=T_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI flows main aggregates, BMD4 Flux d'IDE - Principaux agrégats, BMD4 <b>This dataset <i>FDI flows main aggregates, BMD4</i> is updated every quarter and includes annual and quarterly aggregate Foreign Direct Investment (FDI) flows for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in Balance of Payments (BOP) accounts.</b><p>FDI flows record the value of cross-border transactions related to direct investment during a given period of time, usually a quarter or a year, and consist of equity transactions, reinvestment of earnings, and intercompany debt transactions.</p><p>In this dataset, FDI flows are presented on two different basis:</p><ul style="list-style-type=square"><li><b>the asset/liability presentation</b>: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.</li><li><b>the directional presentation</b>: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.</li><p>For more details on the difference between the two presentations, see the OECD note <a href="http://www.oecd.org/daf/inv/FDI-statistics-asset-liability-vs-directional-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>FDI flows aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI flows aggregates under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=IN%2BOUT.USD.&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb">FDI series of BOP and IIP aggregates</a></p> <b>Cet ensemble de données <i>Principaux agrégats des flux d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les flux d'investissement direct étranger (IDE) agrégés annuels et trimestriels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 (Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la balance des paiements (BDP).</b><p>Les flux d'IDE enregistrent la valeur des transactions transfrontalières liées à l'investissement direct au cours d'une période de temps donnée, généralement un trimestre ou un an, et comprennent les acquisitions ou cessions de participations, le réinvestissement de bénéfices et les prêts interentreprises.</p><p> Dans cet ensemble de données, les flux d'IDE sont présentés sur deux bases différentes :</p><ul style="list-style-type=square"><li><b>le principe actif/passif</b> : les statistiques d'IDE sont organisées selon que l'investissement porte sur un actif ou un passif pour le pays qui établit les statistiques. La présentation selon le principe actif/passif ne reflète pas la direction d'influence comme le permet la présentation selon le principe directionnel.</li><li><b>le principe directionnel</b> : les statistiques d'IDE sont organisées en fonction de la direction de l'investissement de l’économie déclarante, sortant ou entrant.</li><p>Pour plus de détails sur la différence entre les deux présentations, voir la note de l'OCDE <a href="http://www.oecd.org/daf/inv/FDI- Statistics-asset-liability-vs-directionnel-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>Les agrégats de flux d'IDE dans cet ensemble de données sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été mise en place en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées d'agrégats de flux d'IDE selon la précédente méthodologie BMD3 sont accessibles dans l'ensemble de données archivé <a href="https : //data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=IN%2BOUT.USD.&to[ TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb">IDE séries agrégées de BP et PEG</a></p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_FA_F,ACCOUNTING_ENTRY=NET_FDI,LEVEL_COUNTERPART=IMC,COUNTERPART_AREA=W+W_X+OECD00+AUS+CAN+FRA+DEU+ITA+JPN+KOR+MEX+TUR+GBR+USA+E+F+ZAF+A+A7+ARG+BRA+S+S3+S35+SAU+S6+CHN+IND+IDN+O,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI flows by counterpart area, BMD4 Flux d'IDE par zone de contrepartie, BMD4 <b>This dataset <i>FDI flows by counterpart area, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) flows by partner country for OECD reporting economies:</b><ul style="list-style-type=square"><li>Inward FDI flows by partner country measure the value of cross-border direct investment transactions received by the reporting economy during a year, by source country, enabling, for example, the identification of the major sources of FDI for a specific OECD economy in that year. Inward FDI flows are allocated to the immediate investing country.</li><li>Outward FDI flows by partner country measure the value of cross-border direct investment transactions from the reporting economy during a year, by destination country or region, enabling, for example, the identification of the major destinations of FDI for a specific OECD economy in that year. Outward FDI flows are allocated to the immediate counterpart country for all OECD countries.</li></ul><p>Inward and outward FDI flows by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI flows by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">FDI flows by partner country</a>.</p> <b>Cet ensemble de données <i>Flux d'IDE par zone de contrepartie, BMD4</i> comprend les investissements directs étrangers entrants et sortants ( Flux d'IDE) par pays partenaire pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les flux d'IDE entrants par pays partenaire mesurent la valeur des transactions d’investissements directs transfrontalières reçues par l’économie déclarante au cours d’une année, par pays d’origine, permettant, par exemple, d’identifier les principales sources d’IDE pour une économie spécifique de l’OCDE au cours de cette année. Les flux d'IDE entrants sont attribués au pays investisseur immédiat.</li><li>Les flux d'IDE sortants par pays partenaire mesurent la valeur des transactions d'investissement direct transfrontalières de l'économie déclarante au cours d'une année, par pays ou région de destination, permettant par exemple l’identification des principales destinations des IDE pour une économie spécifique de l’OCDE au cours de cette année. Les flux d'IDE sortants sont attribués au pays de contrepartie immédiat pour tous les pays de l'OCDE.</li></ul><p>Les flux d'IDE entrants et sortants par pays partenaire sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées attachées au niveau du pays déclarant) ; ils sont mesurés en millions de dollars américains et en millions de monnaie nationale.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de flux d'IDE par zone de contrepartie selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">Flux d'IDE par pays partenaire</a>.</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_FA_F,ACCOUNTING_ENTRY=NET_FDI,COUNTERPART_AREA=W,LEVEL_COUNTERPART=IMC,ACTIVITY=_T+A_B+C+C10T12+C13T18X15+C19T22+C24T28X27+C29_30+C15_23_27_31T33+D+E+F+GTU+G+H+I+J+K+L+M+N+O_T_U+P+Q+R+S+_X+PRV_RE,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI flows by economic activity, BMD4 Flux d'IDE par activité économique, BMD4 <b>This dataset <i>FDI flows by economic activity, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) flows by economic activity for OECD reporting economies:</b><ul style="list-style-type=square"><li>Inward FDI flows by economic activity measure the value of cross-border direct investment transactions received by the reporting economy in a specific industry during a year, enabling, for example, the identification of the most attractive industries for FDI in each OECD economy in that year.</li><li>Outward FDI flows by economic activity measure the value of cross-border direct investment transactions from the reporting economy during a year, by industry. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for outward FDI flows are indicated in the metadata information attached at the country level).</li></ul><p>Inward and outward FDI flows by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency. A cross-classification of inward and outward FDI flows by major ISIC4 sections and by main geographic aggregates are also available for some OECD reporting economies.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>An OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI flows by economic activity under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9200%2B9997%2B9998%2B9996D%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">FDI flows by industry</a>.</p> <b>Cet ensemble de données <i>Flux d'IDE par activité économique, BMD4</i> comprend les investissements directs étrangers entrants et sortants ( IDE) par activité économique pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les flux d'IDE entrants par activité économique mesurent la valeur des transactions d'investissement direct transfrontalières reçues par l'économie déclarante dans un secteur spécifique au cours d'une année, permettant, par exemple, d'identifier les secteurs les plus attractifs pour l'IDE dans chaque économie de l'OCDE au cours de cette année.</li><li>Les flux d'IDE sortants par activité économique mesurent la valeur des transactions d’investissement direct transfrontalières de l’économie déclarante au cours d’une année, par secteur. Le secteur industriel correspond à l'activité de l'entreprise d'investissement direct ou à l'activité de l'investisseur direct (plus de détails sur la méthode d'allocation des activités pour les flux d'IDE sortants sont indiqués dans les métadonnées jointes au niveau du pays).</li></ul>< p>Les flux d'IDE entrants et sortants par activité économique sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau national) ; ils sont mesurés en millions de dollars américains et en milloins de monnaie nationale. Une classification croisée des flux d'IDE entrants et sortants par grandes sections de la CITI4 et par principaux agrégats géographiques est également disponible pour certaines économies déclarantes de l'OCDE.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de flux d'IDE par activité économique selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_FLOW_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9200%2B9997%2B9998%2B9996D%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">Flux d'IDE par industrie</a>.</p> NonProductionDataflow true REF_AREA,TYPE_ENTITY LAYOUT_ROW MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=T_D4P_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,UNIT_MEASURE=USD_EXC+RC,FREQ=Q,LASTNPERIODS=2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI income main aggregates, BMD4 Revenus d'IDE - Principaux agrégats, BMD4 <b>This dataset <i>FDI income main aggregates, BMD4</i> is updated every quarter and includes annual and quarterly aggregate Foreign Direct Investment (FDI) income for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in Balance of Payments (BOP) accounts.</b><p>FDI income record measure the total returns within a given period of time, usually a quarter or a year, on direct investment stocks.</p><p>In this dataset, FDI income are presented on two different basis:</p><ul style="list-style-type=square"><li><b>the asset/liability presentation</b>: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.</li><li><b>the directional presentation</b>: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.</li><p>For more details on the difference between the two presentations, see the OECD note <a href="http://www.oecd.org/daf/inv/FDI-statistics-asset-liability-vs-directional-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>FDI income aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>Principaux agrégats des revenus d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les revenus d'investissement direct étranger (IDE) agrégés annuels et trimestriels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 ( Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la balance des paiements (BDP).</b><p>Les revenus d'IDE mesurent les rendements totaux des stocks d'investissement direct étrangers, sur une période de temps donnée, généralement un trimestre ou un an.</p><p> Dans cet ensemble de données, les revenus d'IDE sont présentés sur deux bases différentes :</p><ul style="list-style-type=square"><li><b>le principe actif/passif</b> : les statistiques d'IDE sont organisées selon que l'investissement porte sur un actif ou un passif pour le pays qui établit les statistiques. La présentation selon le principe actif/passif ne reflète pas la direction d'influence comme le permet la présentation selon le principe directionnel.</li><li><b>le principe directionnel</b> : les statistiques d'IDE sont organisées en fonction de la direction de l'investissement de l’économie déclarante, sortant ou entrant.</li><p>Pour plus de détails sur la différence entre les deux présentations, voir la note de l'OCDE <a href="http://www.oecd.org/daf/inv/FDI- Statistics-asset-liability-vs-directionnel-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>Les agrégats de revenus d'IDE dans cet ensemble de données sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été mise en place en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY LAYOUT_COLUMN ACCOUNTING_ENTRY=NET_FDI,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_4P_F,LEVEL_COUNTERPART=IMC,COUNTERPART_AREA=W+W_X+OECD00+AUS+CAN+FRA+DEU+ITA+JPN+KOR+MEX+TUR+GBR+USA+E+F+ZAF+A+A7+ARG+BRA+S+S3+S35+SAU+S6+CHN+IND+IDN+O,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI income by counterpart area, BMD4 Revenus d'IDE par zone de contrepartie, BMD4 <b>This dataset <i>FDI income by counterpart area, BMD4</i> includes Foreign Direct Investment (FDI) payments and receipts by partner country for OECD reporting economies:</b> <ul style="list-style-type=square"><li>FDI income payments (or income on inward FDI) by partner country measure the total returns within a year on direct investment stocks paid by enterprises in the reporting economy to their foreign investors, by destination countries or regions, enabling, for example, the identification of the major destinations of FDI income payments for a specific OECD economy in that year. FDI income payments are allocated to the immediate counterpart country.</li><li>FDi income receipts (or income on outward FDI) by partner country measure the total returns within a year on direct investment stocks received by investors in the reporting economy from their direct investment enterprises abroad, by source countries or region, enabling, for example, the identification of the major sources of FDI income receipts for a specific OECD economy in that year.. FDI income receipts are allocated to the immediate counterpart country or region for all OECD countries.</li></ul><p>Income payments and receipts (or income on inward and outward FDI respectively) by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>Revenus d'IDE par zone de contrepartie, BMD4</i> inclut les paiements et les recettes d'investissements directs étrangers (IDE) par pays partenaire pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les paiements de revenus d'IDE (ou les revenus des IDE entrants) par pays partenaire mesurent les rendements totaux des stocks d'investissements directs, au cours d'une année, payés par les entreprises de l'économie déclarante à leurs investisseurs étrangers, par pays ou régions de destination. Ils permettent, par exemple, d'identifier les principales destinations des paiements de revenus d'IDE pour une économie spécifique de l'OCDE au cours de cette année. Les paiements de revenus d'IDE sont alloués au pays de contrepartie immédiat.</li><li>Les recettes de revenus d'IDE (ou les revenus sur les IDE sortants) par pays partenaire mesurent les rendements totaux des stocks d'investissement direct, au cours d'une année, reçus par les investisseurs dans l'économie déclarante de la part de leurs entreprises d’investissement direct à l’étranger, par pays ou région d’origine. Ils permettent, par exemple, d’identifier les principales sources de recettes d’IDE pour une économie spécifique de l’OCDE au cours de cette année. Les recettes d’IDE sont allouées au pays ou à la région de contrepartie immédiate pour tous les pays de l'OCDE.</li></ul><p>Les paimenst et recettes de revenus d’IDE (ou les revenus sur les IDE entrants et sortants respectivement) par pays partenaire sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau du pays) ; ils sont mesurés en millions de dollars américains et en millions de monnaie nationale.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de relations directes avec l'étranger. Statistiques d'investissement (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY LAYOUT_COLUMN ACCOUNTING_ENTRY=NET_FDI,FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=T_D4P_F,COUNTERPART_AREA=W,LEVEL_COUNTERPART=IMC,ACTIVITY=_T+A_B+C+C10T12+C13T18X15+C19T22+C24T28X27+C29_30+C15_23_27_31T33+D+E+F+GTU+G+H+I+J+K+L+M+N+O_T_U+P+Q+R+S+_X,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI income by economic activity, BMD4 Revenus d'IDE par activité économique, BMD4 <b>This dataset <i>FDI income by economic activity, BMD4</i> includes Foreign Direct Investment (FDI) payments and receipts by economic activity for OECD reporting economies:</b> <ul style="list-style-type=square"><li>FDI income payments (or income on inward FDI) by economic activity measure the total returns within a year on direct investment stocks paid by enterprises in the reporting economy, in a specific industry, to their foreign investors.</li><li>FDi income receipts (or income on outward FDI) by economic activity measure the total returns within a year on direct investment stocks received by investors in the reporting economy from their direct investment enterprises abroad, by industry. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for FDI income receipts are indicated in the metadata information attached at the country level).</li></ul><p>Income payments and receipts (or income on inward and outward FDI respectively) by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions and in millions of national currency.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p> <b>Cet ensemble de données <i>Revenus d'IDE par activité économique, BMD4</i> inclut les paiements et les recettes d'investissements directs étrangers (IDE) par activité économique pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les paiements de revenus d'IDE (ou revenus sur les IDE entrants) par activité économique mesurent les rendements totaux des stocks d'investissements directs, au cours d'une année, payés par les entreprises de l'économie déclarante, dans un secteur industriel spécifique, à leurs investisseurs étrangers.</li><li>Les recettes des revenus d'IDE (ou les revenus des IDE sortants) par activité économique mesurent les rendements totaux des stocks d'investissements directs étrangers, au cours d'une année, reçus par les investisseurs de l'économie déclarante de leurs entreprises d'investissement direct à l'étranger, par secteur industriel. Le secteur industriel correspond à l'activité de l'entreprise d'investissement direct ou à l'activité de l'investisseur direct (plus de détails sur la méthode d'allocation des activités économiques pour les recettes d'IDE sont indiqués dans les métadonnées jointes au niveau du pays).</li></ul>< p>Les revenus payés et reçus (ou les revenus sur les IDE entrants et sortants respectivement) par activité économique sont présentés selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau du pays) ; ils sont mesurés en millions de dollars et en millions de monnaie nationale.</p>mesurés en millions de dollars américains et en millions de monnaie nationale.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de relations directes avec l'étranger. Statistiques d'investissement (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p> NonProductionDataflow true REF_AREA,TYPE_ENTITY LAYOUT_ROW MEASURE_PRINCIPLE,ACCOUNTING_ENTRY,TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION SECTOR=S1,COUNTERPART_AREA=W,TYPE_ENTITY=_Z,LEVEL_COUNTERPART=IMC,ACTIVITY=_T,FDI_COLLECTION_ID=AGGR,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED MEASURE=LE_FA_F,FDI_COMP=D,TYPE_ENTITY=ALL+RSP,FREQ=A,LASTNPERIODS=2 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 8000 MAX_TABLE_DATA FDI positions main aggregates, BMD4 Positions d'IDE - Principaux agrégats, BMD4 <b>This dataset <i>FDI positions main aggregates, BMD4</i> is updated every quarter and includes annual aggregate Foreign Direct Investment (FDI) positions for OECD member countries and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa), which are included in International Investment Position (IIP) accounts.</b><p>FDI positions record the total level of direct investment at a given point in time, usually the end of a quarter or of a year.</p><p>In this dataset, FDI positions are presented on two different basis:</p><ul style="list-style-type=square"><li><b>the asset/liability presentation</b>: FDI statistics are organised according to whether the investment relates to an asset or a liability for the country compiling the statistics. The asset/liability presentation does not show the direction of influence as the directional presentation does.</li><li><b>the directional presentation</b>: FDI statistics are organised according to the direction of the investment for the reporting economy—either outward or inward.</li><p>For more details on the difference between the two presentations, see the OECD note <a href="http://www.oecd.org/daf/inv/FDI-statistics-asset-liability-vs-directional-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>FDI positions aggregates in this dataset are measured in USD millions, in millions of national currency and as a share of GDP.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI positions aggregates under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=INWARD%2BOUTWARD.USD.&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb&pg=0 ">FDI series of BOP and IIP aggregates</a></p> <b>Cet ensemble de données <i>Principaux agrégats des positions d'IDE, BMD4</i> est mis à jour chaque trimestre et comprend les positions d'investissement direct étranger (IDE) agrégés annuels pour les pays membres de l'OCDE et pour les pays non OCDE du G20 ( Argentine, Brésil, Chine, Inde, Indonésie, Arabie Saoudite et Afrique du Sud), qui sont inclus dans les comptes de la position extérieure globale (PEG).</b><p>Les positions d'IDE enregistrent le niveau total des investissements directs à un moment donné, généralement à la fin d'un trimestre ou d'une année.</p><p> Dans cet ensemble de données, les positions d'IDE sont présentés sur deux bases différentes :</p><ul style="list-style-type=square"><li><b>le principe actif/passif</b> : les statistiques d'IDE sont organisées selon que l'investissement porte sur un actif ou un passif pour le pays qui établit les statistiques. La présentation selon le principe actif/passif ne reflète pas la direction d'influence comme le permet la présentation selon le principe directionnel.</li><li><b>le principe directionnel</b> : les statistiques d'IDE sont organisées en fonction de la direction de l'investissement de l’économie déclarante, sortant ou entrant.</li><p>Pour plus de détails sur la différence entre les deux présentations, voir la note de l'OCDE <a href="http://www.oecd.org/daf/inv/FDI- Statistics-asset-liability-vs-directionnel-presentation.pdf">Implementing latest international standards-Asset liability versus directional presentation</a></p></ul><p>Les agrégats de positions d'IDE dans cet ensemble de données sont mesurés en millions de dollars américains, en millions de monnaie nationale et en pourcentage du PIB.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"> <li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li> <li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été mise en place en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées d'agrégats de positions d'IDE selon la précédente méthodologie BMD3 sont accessibles dans l'ensemble de données archivé <a href=" https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_BOP_IIP&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=INWARD%2BOUTWARD.USD.&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=SERIES_BOP%2CTIME_PERIOD&ly[rw]=COU&vw=tb&pg=0">IDE séries agrégées de BP et PEG</a></p> NonProductionDataflow true COUNTERPART_AREA LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,LEVEL_COUNTERPART,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,ACTIVITY=_T,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=LE_FA_F,ACCOUNTING_ENTRY=NET_FDI,COUNTERPART_AREA=W+W_X+OECD00+AUS+CAN+FRA+DEU+ITA+JPN+KOR+MEX+TUR+GBR+USA+E+F+ZAF+A+A7+ARG+BRA+S+S3+S35+SAU+S6+CHN+IND+IDN+O,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée COUNTERPART_AREA:OECD.DAF.INV:HCL_AREA(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI positions by counterpart area, BMD4 Positions d'IDE par zone de contrepartie, BMD4 <b>This dataset <i>FDI positions by counterpart area, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) positions by partner country for OECD reporting economies:</b><ul style="list-style-type=square"><li>Inward FDI positions by partner country measure the total level of direct investment in the reporting economy at the end of the year, by source countries, enabling, for example, the identification of the major sources of FDI for a specific OECD economy. Inward FDI positions are allocated to the immediate investing country but inward FDI positions allocated to the ultimate investing country are also available for some OECD economies.</li><li>Outward FDI positions by partner country measure the total level of direct investment from the reporting economy at the end of the year, by destination countries, enabling, for example, the identification of the major destinations of FDI for a specific OECD economy. Outward FDI positions are allocated to the immediate counterpart country for all OECD countries. </li></ul><p>Inward and outward FDI positions by partner country are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions, in millions of national currency and as a share of total FDI positions.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"> <li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li> <li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI positions by counterpart area under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">FDI positions by partner country</a>.</p> <b>Cet ensemble de données <i>Positions d'IDE par zone de contrepartie, BMD4</i> inclut les investissements directs étrangers entrants et sortants ( Positions d'IDE) par pays partenaire pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les positions d'IDE entrant par pays partenaire mesurent le niveau total d'investissement direct dans l’économie déclarante à la fin de l’année, par pays d’origine, ce qui permet, par exemple, d’identifier les principales sources d’IDE pour une économie spécifique de l’OCDE. Les positions d'IDE entrants sont alloués au pays investisseur immédiat, mais les positions d'IDE entrants allouées au pays investisseur final sont également disponibles pour certaines économies de l'OCDE.</li><li>Les positions d'IDE sortants par pays partenaire mesurent le niveau total d'investissement direct du pays l’économie déclarante à la fin de l’année, par pays de destination, permettant, par exemple, d’identifier les principales destinations des IDE pour une économie spécifique de l’OCDE. Les positions d’IDE sortants sont alloués au pays de contrepartie immédiat pour tous les pays de l’OCDE. </li></ul><p>Les positions d'IDE entrants et sortants par pays partenaire sont présentées selon le principe directionnel (sauf indication contraire dans les métadonnées attachées au niveau du pays); elles sont mesurées en millions de dollars américains, en millions de monnaie nationale et en pourcentage du total des positions d'IDE.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"><li>la <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE sur l'IDE, 4e édition (BMD4) ;</a> et< /li><li>le <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)< /a></li></ul><p>Cette base de données de l'OCDE a été publiée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de positions d'IDE par zone de contrepartie selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_PARTNER&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.V1%2BA1UN%2BA1%2BF7%2BIDN%2BIND%2BCHN%2BF6REC%2BSAU%2BF4%2BF2%2BBRA%2BARG%2BF1REC%2BF1%2BE7%2BZAF%2BE6%2BE4%2BE1%2BUSA%2BGBR%2BTUR%2BMEX%2BKOR%2BJPN%2BITA%2BDEU%2BFRA%2BCAN%2BAUS%2BA8.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=PC&vw=tb">Positions d'IDE par pays partenaire</a>.</p> NonProductionDataflow true ACTIVITY LAYOUT_ROW TIME_PERIOD,MEASURE_PRINCIPLE,MEASURE,TYPE_ENTITY,ACCOUNTING_ENTRY LAYOUT_COLUMN FDI_COMP=D,SECTOR=S1,LEVEL_COUNTERPART=IMC,FDI_COLLECTION_ID=CTRY_IND,OBS_STATUS=A,CONF_STATUS=F NOT_DISPLAYED REF_AREA=ITA,MEASURE=LE_FA_F,ACCOUNTING_ENTRY=NET_FDI,COUNTERPART_AREA=W,ACTIVITY=_T+A_B+C+C10T12+C13T18X15+C19T22+C24T28X27+C29_30+C15_23_27_31T33+D+E+F+GTU+G+H+I+J+K+L+M+N+O_T_U+P+Q+R+S+_X+PRV_RE+ATUXFPRV,LEVEL_COUNTERPART=IMC,UNIT_MEASURE=USD_EXC,LASTNPERIODS=2,DECIMALS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI positions by economic activity, BMD4 Positions d'IDE par activité économique, BMD4 <b>This dataset <i>FDI positions by economic activity, BMD4</i> includes inward and outward Foreign Direct Investment (FDI) positions by economic activity according to ISIC4 for OECD reporting economies:</b> <ul style="list-style-type=square"><li>Inward FDI positions by economic activity measure the total level of direct investment in a specific industry of the reporting economy at the end of the year, enabling, for example, the identification of the most attractive industry sectors for FDI in each OECD economy.</li><li>Outward FDI positions by economic activity measure the total level of direct investment from the reporting economy at the end of the year, by industry sector. The industry sector corresponds to the activity of the direct investment enterprise or to the activity of the direct investor (more details on the activity allocation method for outward FDI positions are indicated in the metadata information attached at the country level). </li></ul><p>Inward and outward FDI positions by economic activity are presented according to the directional principle (unless otherwise specified in the country level metadata); they are measured in USD millions, in millions of national currency and as a share of total FDI positions. A cross-classification of inward and outward FDI positions by major ISIC4 sections and by main geographic aggregates are also available for some OECD reporting economies.</p><p>In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:</p><ul style="list-style-type=square"><li>the <a href="http://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">OECD’s Benchmark Definition of FDI, 4th edition (BMD4);</a> and</li><li>the <a href="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)</a></li></ul><p>This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.</p><p>Historical and unrevised series of FDI positions by economic activity under the previous BMD3 methodology can be accessed in the archived dataset <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9998%2B9997%2B9996D%2B9995%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B1605%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">FDI positions by industry</a>.</p> <b>Cet ensemble de données <i>Positions d'IDE par activité économique, BMD4</i> comprend les investissements directs étrangers entrants et sortants ( Positions d'IDE) par activité économique selon la CITI4 pour les économies déclarantes de l'OCDE :</b> <ul style="list-style-type=square"><li>Les positions d'IDE entrant par activité économique mesurent le niveau total de l’investissement direct dans un secteur spécifique de l’économie déclarante à la fin de l’année, permettant, par exemple, d’identifier les secteurs industriels les plus attractifs pour l’IDE dans chaque économie de l’OCDE. </li><li>Les positions d'IDE sortant par activité économique mesurent le niveau total d'investissement direct de l'économie déclarante à la fin de l'année, par secteur industriel. Le secteur industriel correspond à l'activité de l'entreprise d'investissement direct ou à l'activité de l'investisseur direct (plus de détails sur la méthode d'allocation des activités pour les positions d'IDE sortants sont indiqués dans les métadonnées jointes au niveau du pays). </li></ul><p>Les positions d'IDE entrants et sortants par activité économique sont présentées selon le principe directionnel (sauf indication contraire dans les métadonnées au niveau du pays) ; ils sont mesurés en millions de dollars américains, en milloins de monnaie nationale et en proportion du total des positions d’IDE. Une classification croisée des positions d'IDE entrants et sortants par grandes sections de la CITI4 et par principaux agrégats géographiques est également disponible pour certaines économies déclarantes de l'OCDE.</p><p>En 2014, de nombreux pays ont mis en œuvre les dernières normes internationales en matière de statistiques sur les investissements directs étrangers (IDE) :</p><ul style="list-style-type=square"><li>le <a href="http ://www.oecd.org/daf/inv/investment-policy/fdibenchmarkdefinition.htm">Définition de référence de l'OCDE de l'IDE, 4e édition (BMD4) ;</a> et</li><li>le <a href ="http://www.imf.org/external/pubs/ft/bop/2007/bopman6.htm">Manuel de la balance des paiements et de la position extérieure globale du FMI, 6e édition (BPM6)</a></li></ul><p>Cette base de données de l'OCDE a été lancée en mars 2015 et comprend les séries de données rapportées par les experts nationaux selon BMD4. Les données sont pour l’essentiel basées sur les statistiques de balance des paiements publiées par les banques centrales et les offices statistiques suite aux recommandations du BPM6 du FMI et du BMD4 de l’OCDE. Cependant, certaines données se rapportent à d'autres sources telles que les notifications ou les approbations.</p><p>Les séries historiques et non révisées de positions d'IDE par activité économique selon l'ancienne méthodologie BMD3 sont accessibles dans l'ensemble de données archivé<a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateArchiveDMZ&df[id]=DF_FDI_POSITION_INDUSTRY&df[ag]=OECD&df[vs]=1.0&av=true&pd=%2C&dq=.0100%2B9999%2B9998%2B9997%2B9996D%2B9995%2B7395%2B6895%2B6495%2B5500%2B5295%2B5095%2B4500%2B4195%2B3595%2B3300%2B3295%2B2995%2B2595%2B2295%2B1605%2B3995%2B1495%2B0595.USD.ITA&to[TIME_PERIOD]=false&lo=5&lom=LASTNPERIODS&ly[cl]=FLOW%2CTIME_PERIOD&ly[rw]=ECOACT&vw=tb">Positions d'IDE par industrie</a>.</p> NonProductionDataflow true V2/structure/dataflow/,/DSD_FDIRRI_SCORES@DF_FDIRRI_SCORES/latest RELATED_DATA ACTIVITY,POL_CAT,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA,LASTNPERIODS=1,MEASURE=I11+I12+I13+I14+I15+I21+I22+I23+I24+I25+I31+I32+I33+I34+I35+I41+I42+I43+I44+I45+I51+I52+I53+I54+I55+I61+I62+I63+I64+I65+I71+I72+I73+I74+I75++II11+II21++III11+III21+III22+IV11+IV21+IV31+IV41+IV51+IV61+IV71+IV81+IV91+IV92+IV93 DEFAULT ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4_FDIRRI(1.0).H,MEASURE:OECD.DAF.INV:HCL_MEASURE_FDIRRI_POL(1.0).H HIER_CONTEXT OECD FDI Regulatory Restrictiveness Index - Regulatory Database L'Indice de l'OCDE de restrictivité de la réglementation de l'IDE - Base de données réglementaire The OECD FDI Regulatory Restrictiveness Index (FDIRRI) - Regulatory Database provides information on all regulatory measures underlying the FDIRRI, including extracts of key legislation, explanatory comments, sources, and links. The Regulatory Database also shows the scores associated with each individual regulatory measure. Please note, however, that these do not represent sector or economy-level scores. Note also that the horizontal (cross-sector) measures recorded in the database may not necessarily apply to all sectors or sub-sectors and may sometimes overlap with other sector-specific database entries. The overlap of horizontal and sector-specific entries does not affect FDIRRI scores, i.e., it does not result in double counting. For cross-country comparisons, users should refer to the <a href="http://data-explorer.oecd.org/s/uj">OECD FDI Regulatory Restrictiveness Index - Scores database</a>. <p>The OECD FDIRRI is a policy-based tool designed to measure statutory restrictions on foreign direct investment (FDI) across countries and over time. First established in 2003 and last revised in 2022, the FDIRRI serves as a benchmark for evaluating market access and other regulatory barriers to FDI, while also providing a means to monitor and promote FDI policy reforms. The FDIRRI assesses regulatory restrictions in 22 economic sectors, categorised into four policy areas: foreign equity limits, screening and approval, restrictions on key foreign personnel, and other restrictions. Only statutory measures that discriminate against foreign investors, or which are deemed particularly more burdensome to foreign investors, are accounted for as restrictions. Other important aspects of the investment climate (e.g., regulatory transparency, state monopolies, and any preferential treatment for selected investors, such as treaty-covered investors or those in special economic zones), as well as measures implemented for protecting the public order and essential security interests are not considered. Each policy measure is scored on a scale from 0 (fully open to FDI) to 1 (fully closed), with sectoral scores reflecting the sum across all policy categories, capped at 1. Standard sector weights are applied consistently across countries and over time to capture differences in the economic significance of sectors, ensuring that any variation in scores between countries is attributed to policy differences. Data are collected annually and reflect regulatory restrictions as of end December of the indicated year.<p><p>Please refer to the <a href="https://www.oecd.org/en/topics/sub-issues/sustainable-investment/fdi-regulatory-restrictiveness-index.html">FDIRRI webpage</a> for further details on the <a href="https://www.oecd.org/en/publications/oecd-fdi-regulatory-restrictiveness-index_6491e99d-en.html">methodology</a>.</p> La base de données réglementaire de l’Indice de restrictivité réglementaire de l’investissement direct étranger (FDIRRI) de l’OCDE fournit des informations sur l’ensemble des mesures réglementaires sous-jacentes à l’Indice, notamment des extraits de la législation pertinente, des commentaires explicatifs, des sources et des liens. La base de données réglementaire présente également les notes associées à chaque mesure réglementaire individuelle. Il convient toutefois de noter que ces notes ne représentent pas les scores au niveau sectoriel ou économique. Il convient également de noter que les mesures horizontales (transversales) enregistrées dans la base peuvent ne pas s’appliquer à tous les secteurs ou sous-secteurs et peuvent parfois se chevaucher avec d’autres entrées sectorielles spécifiques. Ce chevauchement entre mesures horizontales et sectorielles n’a aucun impact sur les scores du FDIRRI, c’est-à-dire qu’il ne conduit pas à un double comptage. Pour les comparaisons internationales, les utilisateurs sont invités à se référer à la <a href="http://data-explorer.oecd.org/s/uj">Base de données des scores de l’Indice de restrictivité réglementaire de l’investissement direct étranger de l’OCDE</a>. <p>L’**Indice de restrictivité réglementaire de l’investissement direct étranger (FDIRRI)** de l’OCDE est un outil fondé sur les politiques, conçu pour mesurer les restrictions légales applicables à l’investissement direct étranger (IDE) entre pays et dans le temps. Créé en 2003 et révisé pour la dernière fois en 2022, le FDIRRI sert de référence pour évaluer l’accès aux marchés et les autres obstacles réglementaires à l’IDE, tout en offrant un instrument de suivi et de promotion des réformes des politiques d’investissement. L’Indice évalue les restrictions réglementaires dans 22 secteurs économiques, regroupées en quatre catégories de politiques : limitations à la participation étrangère au capital, procédures d’examen et d’autorisation, restrictions concernant le personnel clé étranger, et autres restrictions. Seules les mesures légales discriminant à l’égard des investisseurs étrangers, ou considérées comme particulièrement plus contraignantes pour ceux-ci, sont comptabilisées comme des restrictions. D’autres aspects importants du climat d’investissement (par exemple, la transparence réglementaire, les monopoles d’État, ou les traitements préférentiels accordés à certains investisseurs, tels que ceux couverts par des traités ou établis dans des zones économiques spéciales), ainsi que les mesures destinées à la protection de l’ordre public et des intérêts essentiels de sécurité, ne sont pas pris en compte. Chaque mesure de politique publique est notée sur une échelle de 0 (entièrement ouvert à l’IDE) à 1 (entièrement fermé), les scores sectoriels correspondant à la somme de toutes les catégories de politiques, plafonnée à 1. Des pondérations sectorielles standard sont appliquées de manière cohérente entre les pays et au fil du temps afin de refléter les différences dans l’importance économique des secteurs et de garantir que toute variation des scores entre pays soit attribuable uniquement à des différences de politiques. Les données sont collectées chaque année et reflètent les restrictions réglementaires en vigueur à la fin décembre de l’année indiquée.</p> <p>Pour plus de détails, veuillez consulter la <a href="https://www.oecd.org/en/topics/sub-issues/sustainable-investment/fdi-regulatory-restrictiveness-index.html">page web du FDIRRI</a> ainsi que la <a href="https://www.oecd.org/en/publications/oecd-fdi-regulatory-restrictiveness-index_6491e99d-en.html">méthodologie</a>.</p> NonProductionDataflow true V2/structure/dataflow/,/DSD_FDIRRI_REG_DATABASE@DF_FDIRRI_REG_DATABASE/latest RELATED_DATA REF_AREA,ACTIVITY LAYOUT_ROW TIME_PERIOD,POL_CAT LAYOUT_COLUMN MEASURE,SAF,EU_EX,LEG_PROV,COMMENT,OFF_SOURCES,OTH_SOURCES,LINK_SOURCES,MEASURE_STATUS,MEASURE_ID_FDIRRI,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=1,ACTIVITY=_T,POL_CAT=ALL DEFAULT ACTIVITY:OECD.DAF.INV:HCL_ACTIVITY_ISIC4_FDIRRI(1.0).H HIER_CONTEXT OECD FDI Regulatory Restrictiveness Index - Scores L'Indice de l'OCDE de restrictivité de la réglementation de l'IDE - Scores The OECD FDI Regulatory Restrictiveness Index (FDIRRI) is a policy-based tool designed to measure statutory restrictions on foreign direct investment (FDI) across countries and over time. First established in 2003 and last revised in 2022, the FDIRRI serves as a benchmark for evaluating market access and other regulatory barriers to FDI, while also providing a means to monitor and promote FDI policy reforms. The FDIRRI assesses regulatory restrictions in 22 economic sectors, categorised into four policy areas: foreign equity limits, screening and approval, restrictions on key foreign personnel, and other restrictions. Other important aspects of the investment climate (e.g., regulatory transparency, state monopolies, and any preferential treatment for selected investors, such as treaty-covered investors or those in special economic zones), as well as measures implemented for protecting the public order and essential security interests are not considered. Each policy measure is scored on a scale from 0 (fully open to FDI) to 1 (fully closed), with sectoral scores reflecting the sum across all policy categories, capped at 1. Standard sector weights are applied consistently across countries and over time to capture differences in the economic significance of sectors, ensuring that any variation in scores between countries is attributed to policy differences. Data are collected annually and reflect regulatory restrictions as of end December of the indicated year.<p>Please refer to the <a href="https://www.oecd.org/en/topics/sub-issues/sustainable-investment/fdi-regulatory-restrictiveness-index.html">FDIRRI webpage</a> for further details on the <a href="https://www.oecd.org/en/publications/oecd-fdi-regulatory-restrictiveness-index_6491e99d-en.html">methodology</a>.</p></p> L'Indice de l'OCDE de restrictivité de la réglementation de l'IDE (FDIRRI) est un outil conçu pour mesurer les restrictions statutaires à l'investissement direct étranger (IDE) dans les différents pays et au fil du temps. Établi en 2003 et révisé pour la dernière fois en 2022, l'indice FDIRRI sert de référence pour évaluer l'accès au marché et les autres obstacles réglementaires à l'IDE, tout en fournissant un moyen de suivre et de promouvoir les réformes des politiques d'IDE. Le FDIRRI évalue les barrières réglementaires dans 22 secteurs économiques, répartis en quatre catégories de restrictions : les limites de participation étrangère, la filtrage et l'approbation de l'IDE, les restrictions sur le personnel étranger clé, et d'autres restrictions. Seules les mesures statutaires discriminatoires à l'égard des investisseurs étrangers ou jugées particulièrement contraignantes pour ces derniers sont considérées comme des restrictions. D'autres aspects importants du climat d'investissement (par exemple la transparence des réglementations, les monopoles d'État et tout traitement préférentiel accordé de manière selective à certains investisseurs, par exemple les investisseurs couverts par un traité et les investisseurs dans les zones économiques spéciales) ne sont pas pris en compte. Chaque mesure réglementaire est notée sur une échelle de 0 (totalement ouvert aux IDE) à 1 (totalement fermé), les scores sectoriels reflétant la somme des scores de toutes les catégories de restrictions, plafonnée à 1. Des pondérations sectorielles standard sont appliquées de manière cohérente entre les pays et au fil du temps pour refléter les différences générales dans l'importance économique des secteurs, tout en garantissant que les variations de scores entre les pays sont attribuées aux différences de politiques appliqué. Les données reflètent les restrictions réglementaires à la fin du mois de décembre. Pour plus d'informations sur la méthodologie, veuillez consulter la page web du FDIRRI. NonProductionDataflow true ITID Dashboard Visualisation (Comparator tab - Figure 4) NonProductionDataflow true MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN REF_AREA=IRL DEFAULT MEASURE:OECD.DAF.INV:HCL_MEASURE_QDD(1.0).H HIER_CONTEXT 8000 MAX_TABLE_DATA FDI statistics metadata, BMD4 Statistiques d'IDE, métadonnées selon BMD4 The qualitative database on FDI statistics according to the OECD Benchmark Definition, 4th edition (BMD4) includes information for OECD countries on methodology and practices underlying FDI statistics by partner country and by industry published by the OECD in the FDI statistics according to BMD4 database. <p>The FDI according to BMD4 metadata database includes a list of 80 questions, organised in nine main sections: </p> <ul style ="list-style-type=square"> <li><b>Section 1</b> relates to data and metadata dissemination by national sources;</li> <li><b>Section 2</b> relates to criteria and methods used for identifying direct investment enterprises;</li> <li><b>Section 3</b> on the coverage of FDI statistics is divided into three main sub-sections: <b>Section 3.A</b> relates to the general coverage of FDI statistics for example on the type of debt instruments covered; <b>Section 3.B</b> relates to the coverage of fellow enterprises specifically while <b>Section 3.C</b>relates to specific aspects of coverage for example the coverage of Collective Investment institutions;</li> <li><b>Section 4</b> relates to the valuation of FDI positions;</li> <li><b>Section 5</b> is divided into two sub-sections: Section 5.A relate to data sources used while Section 5.B relates to confidentiality management;</li> <li><b>Sections 6.A and 6.B</b> relate to the geographic and industry breakdown respectively of FDI;</li> <li><b>Section 7</b> covers Special Purpose Entities (SPEs);</li> <li><b>Section 8</b> covers FDI statistics by ultimate investing country;</li> <li><b>Section 9</b> covers the coherence of FDI statistics by partner country and industry published by the OECD with quarterly FDI aggregates published by the OECD, and with FDI CDIS positions published by the IMF.</li></p><p>For any questions, you can contact investment@oecd.org.</p> La base de données qualitatives concernant les statistiques d'IDE selon la 4ème édition de la Définition de Référence de l'OCDE pour les statistiques d'investissement direct international (BMD4) comprend, pour les pays de l'OCDE, des informations relatives à la méthodologie et aux pratiques sous-tendant les statistiques d'IDE par pays partenaire et par secteur, publiées par l'OCDE dans la base de données sur les statistiques d'IDE selon BMD4. <p>Cette base de métadonnées comprend une liste de 80 questions, organisées en neuf sections principales : </p> <ul style="list-style-type=square"> <li>La<b> Section 1</b> concerne la diffusion des données et des métadonnées par les sources nationales ;</li> <li>La<b> Section 2</b> concerne les critères et les méthodes utilisés pour identifier les entreprises d'investissement direct ;</li> <li>La<b> Section 3</b> concerne la couverture des statistiques d'IDE et est divisée en trois sous-sections principales : la <b>Section 3.A</b> concerne la couverture générale des statistiques d'IDE, par exemple sur le type de titres de créance couverts ; la <b>Section 3.B</b> concerne spécifiquement la couverture des entreprises sœurs, tandis que la <b>Section 3.C</b> se rapporte à des aspects spécifiques de la couverture, par exemple la couverture des institutions de placement collectif ;</li><li>La<b> Section 4</b> concerne la valorisation des positions d'IDE ;</li> <li>La<b>Section 5</b> est divisée en deux sous-sections : la section 5.A concerne les sources de données utilisées tandis que la section 5.B concerne la gestion de la confidentialité ;</li> <li>Les<b> Sections 6.A et 6.B</b> concernent respectivement la répartition géographique et sectorielle des IDE ;</li> <li>La<b> Section 7</b> couvre les entités ad hoc (SPE) ;</li> <li>La<b> Section 8</b> couvre les statistiques d'IDE par pays investisseur final ;</li> <li>La<b> Section 9</b> couvre la cohérence des statistiques d'IDE par pays partenaire et par secteur d'activité publiées par l'OCDE avec les agrégats trimestriels d'IDE publiés par l'OCDE et avec les positions CDIS sur les IDE publiées par le FMI.</li></p><p>Pour toute question, vous pouvez contacter investment@oecd.org.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 1.2 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=250,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE CRS CPA 2024 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2024 data.zip SNPC APP 2024 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2024 data.zip EXT_RESOURCE CRS CPA 2023 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2023 data.zip SNPC APP 2023 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2023 data.zip EXT_RESOURCE CRS CPA 2022 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2022 data.zip SNPC APP 2022 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2022 data.zip EXT_RESOURCE CRS CPA 2021 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2021 data.zip SNPC APP 2021 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2021 data.zip EXT_RESOURCE CRS CPA 2020 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2020 data.zip SNPC APP 2020 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2020 data.zip EXT_RESOURCE CRS CPA 2019 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2019 data.zip SNPC APP 2019 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2019 data.zip EXT_RESOURCE CRS CPA 2018 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2018 data.zip SNPC APP 2018 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2018 data.zip EXT_RESOURCE CRS CPA 2017 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2017 data.zip SNPC APP 2017 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2017 data.zip EXT_RESOURCE CRS CPA 2016 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2016 data.zip SNPC APP 2016 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2016 data.zip EXT_RESOURCE CRS CPA 2015 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2015 data.zip SNPC APP 2015 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2015 data.zip EXT_RESOURCE CRS CPA 2014 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2014 data.zip SNPC APP 2014 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2014 data.zip EXT_RESOURCE CRS CPA 2013 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2013 data.zip SNPC APP 2013 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2013 data.zip EXT_RESOURCE CRS CPA 2012 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2012 data.zip SNPC APP 2012 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2012 data.zip EXT_RESOURCE CRS CPA 2011 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2011 data.zip SNPC APP 2011 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2011 data.zip EXT_RESOURCE CRS CPA 2010 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2010 data.zip SNPC APP 2010 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRSCPA/CrsCPA 2010 data.zip 9000 MAX_TABLE_DATA Country Programmable Aid (CPA) SNPC: Aide programmable par pays (APP) <p>Country Programmable Aid (CPA) refers to official development assistance (ODA) that is subject to multi-year planning at the country or regional level. The OECD has published data on CPA at the aggregate level (provider-partner country) since 2007.</p><p>This data represents an update to the measurement of CPA. The main improvement is that this version is derived entirely from the OECD's aid activity database, the Creditor Reporting System (CRS). CPA is calculated by subtracting the following categories of aid from the total of gross bilateral ODA (category = 10):</p><ul><li>Debt relief (modality: F01 and sector: 600)</li><li>Humanitarian aid (sector codes: 720,730,740)</li><li>Administrative costs not included elsewhere (modality: G01 and sector: 910)</li><li>Scholarships/training in donor country (modality: E01)</li><li>Imputed student costs (modality: E02)</li><li>Promotion of development awareness (modality: H01)</li><li>Refugees in donor country (modality: H02-H06 and sector: 930)</li><li>Core support to NGOs (modality: B01)</li><li>Equity investments (measure: 5xx)</li><li>Other unallocated (sector code: 998 OR recipient: "Developing countries unspecified")</li><li>CPA = 1 (see "Agency" sheet in the 'DAC and CRS code lists', under <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">Resources and guidance material for reporters</a>)</li></ul><p>This measurement is an improvement from the previous CPA measure, which was derived from a combination of the OECD's aggregate aid tables and the CRS, resulting in an aggregate (provider-partner country) perspective on CPA. The result of the new measure is an activity-level perspective on CPA that provides much greater transparency on its composition and thereby allows users to conduct more granular analysis (e.g., by sector, channel, modality, etc.) on who is giving CPA where, how, and for what purpose. The measure is also therefore more replicable to users.</p><p>The time series of the CPA measure starts with 2022 in the “Table” view to differentiate it from the previous CPA measure, which was calculated at an aggregate level up to 2021. These two measures should not be presented together in a time series. For users who are interested in the time series using the new CPA measure, a version of the dataset that applies the new CPA measure retroactively from 2010 onwards has been produced and can be found under, “Related files”.</p><p>For more information on this measure, please see: <a href="https://www.oecd.org/en/data/insights/data-explainers/2025/02/country-programmable-aid-in-official-development-assistance.html">Country programmable aid in official development assistance (ODA)</a>. See also our <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p> <p>L'aide programmable par pays (APP) désigne l'aide publique au développement (APD) qui fait l'objet d'une planification pluriannuelle au niveau national ou régional. L'OCDE publie des données sur l'APP au niveau agrégé (pays fournisseur-partenaire) depuis 2007.</p><p>Ces données représentent une mise à jour de la mesure de l'APP. La principale amélioration est que cette version est entièrement dérivée de la base de données de l'OCDE sur les activités d'aide, le système de notification des pays créanciers (SNPC). L'APP est calculée en soustrayant les catégories d'aide suivantes du total de l'APD bilatérale brute (catégorie = 10) :</p><ul><li>Allégement de la dette (modalité : F01 et code secteur : 600)</li><li>Aide humanitaire (codes secteur : 720, 730, 740)</li><li>Coûts administratifs non inclus ailleurs (modalité : G01 et code secteur : 910)</li><li>Bourses/formations dans le pays donneur (modalité : E01)</li><li>Coûts imputés pour les étudiants (modalité : E02)</li><li>Sensibilisation au développement (modalité : H01)</li><li>Réfugiés dans le pays donneur (modalité : H02-H06 et code secteur : 930)</li><li>Soutien de base aux ONG (modalité : B01)</li><li>Prises de participation (mesure : 5xx)</li><li>Autres non alloués (code secteur : 998 OU bénéficiaire : « Pays en développement non spécifiés »)</li><li>CPA = 1 (voir la feuille « Agence » dans les « Listes des codes DAC et CRS », sous <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">Ressources et documentation pour les déclarants</a>)</li></ul><p>Cette mesure est une amélioration par rapport à la mesure précédente de l'APP, qui était dérivée d'une combinaison des tableaux agrégés de l'aide de l'OCDE et du SNPC, ce qui donnait une perspective agrégée (pays fournisseur-partenaire) de l'APP. Le résultat de la nouvelle mesure est une perspective de l'APP au niveau de l'activité qui offre une bien plus grande transparence sur sa composition et permet ainsi aux utilisateurs d'effectuer une analyse plus granulaire (par exemple, par secteur, canal, modalité, etc.) sur qui donne l'APP, où, comment et dans quel but. La mesure est donc également plus facile à reproduire pour les utilisateurs.</p><p>La série chronologique de la mesure CPA commence en 2022 dans la vue « Tableau » afin de la différencier de la mesure CPA précédente, qui était calculée à un niveau agrégé jusqu'en 2021. Ces deux mesures ne doivent pas être présentées ensemble dans une série chronologique. Pour les utilisateurs intéressés par la série chronologique utilisant la nouvelle mesure CPA, une version de l'ensemble de données qui applique rétroactivement la nouvelle mesure CPA à partir de 2010 a été produite et peut être consultée sous « Fichiers connexes ».</p><p>Pour plus d'informations sur cette mesure, veuillez consulter : <a href="https://www.oecd.org/fr/data/insights/data-explainers/2025/02/country-programmable-aid-in-official-development-assistance.html">Aide programmable par pays dans l’aide publique au développement (APD)</a>. Voir aussi notre <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DONOR,SECTOR,FLOW,CHANNEL,FLOWTYPE,AIDTYPE,AMOUNTTYPE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 1.4 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE CRS-README|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/crs readme_en.txt SNPC-LISEZMOI|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/crs readme_fr.txt EXT_RESOURCE CRS-Parquet-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS.parquet SNPC-parquet-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS.parquet EXT_RESOURCE CRS-reduced-parquet-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS-reduced.parquet SNPC-parquet-réduit-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS-reduced.parquet EXT_RESOURCE CRS 2024 (dotStat format)-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2024 data.zip SNPC 2024 (en format dotStat)-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2024 data.zip EXT_RESOURCE CRS 2023 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2023 data.zip SNPC 2023 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2023 data.zip EXT_RESOURCE CRS 2022 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2022 data.zip SNPC 2022 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2022 data.zip EXT_RESOURCE CRS 2021 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2021 data.zip SNPC 2021 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2021 data.zip EXT_RESOURCE CRS 2020 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2020 data.zip SNPC 2020 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2020 data.zip EXT_RESOURCE CRS 2019 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2019 data.zip SNPC 2019 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2019 data.zip EXT_RESOURCE CRS 2018 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2018 data.zip SNPC 2018 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2018 data.zip EXT_RESOURCE CRS 2017 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2017 data.zip SNPC 2017 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2017 data.zip EXT_RESOURCE CRS 2016 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2016 data.zip SNPC 2016 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2016 data.zip EXT_RESOURCE CRS 2015 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2015 data.zip SNPC 2015 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2015 data.zip EXT_RESOURCE CRS 2014 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2014 data.zip SNPC 2014 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2014 data.zip EXT_RESOURCE CRS 2013 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2013 data.zip SNPC 2013 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2013 data.zip EXT_RESOURCE CRS 2012 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2012 data.zip SNPC 2012 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2012 data.zip EXT_RESOURCE CRS 2011 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2011 data.zip SNPC 2011 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2011 data.zip EXT_RESOURCE CRS 2010 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2010 data.zip SNPC 2010 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2010 data.zip EXT_RESOURCE CRS 2009 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2009 data.zip SNPC 2009 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2009 data.zip EXT_RESOURCE CRS 2008 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2008 data.zip SNPC 2008 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2008 data.zip EXT_RESOURCE CRS 2007 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2007 data.zip SNPC 2007 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2007 data.zip EXT_RESOURCE CRS 2006 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2006 data.zip SNPC 2006 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2006 data.zip EXT_RESOURCE CRS 2004-05 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2004-05 data.zip SNPC 2004-05 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2004-05 data.zip EXT_RESOURCE CRS 2002-03 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2002-03 data.zip SNPC 2002-03 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2002-03 data.zip EXT_RESOURCE CRS 2000-01 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2000-01 data.zip SNPC 2000-01 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 2000-01 data.zip EXT_RESOURCE CRS 1995-99 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 1995-99 data.zip SNPC 1995-99 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 1995-99 data.zip EXT_RESOURCE CRS 1973-94 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 1973-94 data.zip SNPC 1973-94 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_CRS/CRS 1973-94 data.zip CRS: Creditor Reporting System (flows) SNPC: Système de notification des pays créanciers (flux) <p>This dataset provides readily available, granular data on who is giving what aid, to where, and for what purpose, on a flow basis. These data are comparable across all providers who report their activity-level statistics to the OECD.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>Users of the "related files", which contain the raw data by year (or altogether in .parquet format), may find descriptions of each column on the sheet "CRS bulk data – codebook" of <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">this Excel file</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p> <p>Cet ensemble de données fournit des données granulaires facilement accessibles sur qui donne quelle aide, à quel pays et dans quel objectif, sur la base des flux. Ces données sont comparables entre tous les fournisseurs qui notifient leurs statistiques au niveau d'activité à l'OCDE.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Les utilisateurs des « fichiers connexes », qui contiennent les données brutes par année (ou dans leur ensemble au format .parquet), peuvent trouver des descriptions de chaque colonne sur la feuille « CRS bulk data - codebook » dans <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">ce fichier Excel</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1.001 SEARCH_WEIGHT OBS_STATUS,TYING_STATUS,SECTOR NOT_DISPLAYED DONOR=DAC,FLOW_TYPE=1160,PRICE_BASE=V+Q,LASTNPERIODS=10,SECTOR=_Z DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC1 full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC1/Table1_Data.zip Données completes CAD1 (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC1/Table1_Data.zip DAC1: Flows by provider (ODA+OOF+Private) CAD1: Flux par fournisseur (APD+AASP+privé) <p>This dataset provides main aggregates of DAC members' and other provider countries' official development assistance (ODA) flows and grant equivalents, as well as other resource flows to developing countries.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC1.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute. We also have a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">codebook for the DAC and CRS tables</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit les principaux agrégats des flux d'aide publique au développement (APD) et des équivalents-dons des membres du CAD et d'autres pays fournisseurs, ainsi que d'autres flux de ressources vers les pays en développement.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC1.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut. Nous disposons également d'un <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">manuel des codes pour les tableaux du CAD et SNPC</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS,TYING_STATUS,FLOW_TYPE=_Z,SECTOR=_Z NOT_DISPLAYED DONOR=ALLD,MEASURE=528,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC5 full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC1/Table5_Data.zip Données completes CAD5 (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC1/Table5_Data.zip DAC5: Aid (ODA) by sector and provider CAD5: Aide (APD) par secteur et par fournisseur <p>This dataset provides aggregate statistics on the sectoral destination of bilateral official development assistance (ODA) flows and other official flows (OOF), excluding officially-supported export credits.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC5.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute. We also have a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">codebook for the DAC and CRS tables</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la destination sectorielle des flux bilatéraux d'aide publique au développement (APD) et des autres flux officiels (OOF), à l'exclusion des crédits à l'exportation bénéficiant d'un soutien public.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC5.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut. Nous disposons également d'un <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">manuel des codes pour les tableaux du CAD et SNPC</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true DONOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN TYING_STATUS LAYOUT_ROW_SECTION 1 SEARCH_WEIGHT OBS_STATUS,FLOW_TYPE=_Z,SECTOR=_Z NOT_DISPLAYED DONOR=ALLD+DAC+ALLM,MEASURE=74,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.1).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC7B full dataset (dotStat format)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b23e4a6a-2bb9-425e-b997-a2d1c28b33d1 Données completes CAD7B (formatté dotStat)|https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b23e4a6a-2bb9-425e-b997-a2d1c28b33d1 DAC7B: Aid (ODA) tying status DAC7B: Degré de liaison d'aide (APD) Table DAC 7b is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items should therefore not be included in the data reported in this table. Ce tableau vise à recueillir des informations sur le degré de liaison des engagements bilatéraux d'APD. Les Membres ont convenu d’ignorer les coûts administratifs et les dépenses de coopération technique dans l’évaluation du pourcentage de l’aide qui est respectivement, liée, partiellement déliée et non liée. Par conséquent, ces deux éléments ne seront pas pris en compte dans les données fournies dans ce tableau. NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FLOW_TYPE,MEASURE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=245,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=10 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.0).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.0).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure Country programmable aid (CPA) Aide programmable par pays (APP) <p>CPA is the proportion of aid that is subjected to multi-year programming at country level, and hence represent a subset of ODA outflows. It takes as a starting point data on gross ODA disbursements by recipient but excludes spending which is: 1. inherently unpredictable (humanitarian aid and debt relief); or 2. entails no flows to the recipient country (administration costs, student costs, development awareness and research and refugee spending in donor countries); or 3. is usually not discussed between the main donor agency and recipient governments (food aid, aid from local governments, core funding to NGOs, aid through secondary agencies, ODA equity investments and aid which is not allocable by country); 4. CPA does not net out loan repayments, as these are not usually factored into aid allocation decisions. CPA is therefore a gross concept.</p> <p>L'APP est la proportion d'aide soumise à une programmation pluriannuelle au niveau des pays et ainsi représente une sous-catégorie des flux d'APD. Elle prend, comme point de départ, les données sur les versements bruts APD par bénéficiaire mais déduit les dépenses qui: 1. sont imprévisibles par nature (aide humanitaire et allègement de dette) ; 2. n'entraînent pas de flux transfrontaliers (frais administratifs, coûts imputés des étudiants, sensibilisation aux questions de développement, recherche, et réfugiés dans les pays donneurs) ; 3. ne s'inscrivent pas dans le cadre d'accords de coopération entre l'agence principale d'aide et les gouvernements des pays receveurs d'aide (aide alimentaire, aide des collectivités locales des pays donateurs et contributions au budget central des ONG) ; 4. L'APP ne prend pas en compte les remboursements des prêts car ils ne sont pas habituellement pris en compte dans les décisions d'affectation d'aide. L'APP est ainsi un concept brut.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=206,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC2A full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table2a_Data.zip Données completes CAD2A (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table2a_Data.zip DAC2A: Aid (ODA) disbursements to countries and regions CAD2A: Versements d'aide (APD) vers les pays et régions <p>This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral disbursements of official development assistance (ODA) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible. These data are presented by provider and partner country. Data disaggregated by some types of aid (e.g., grants, loans, and technical co-operation) or flows from philanthropic foundations are also available.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC1.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute. We also have a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">codebook for the DAC and CRS tables</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des versements bilatéraux et multilatéraux d'aide publique au développement (APD) aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD et aux agences multilatérales éligibles à l'APD. Ces données sont présentées par fournisseur et par pays partenaire. Des données ventilées selon certains types d'aide (par exemple, les dons, les prêts et la coopération technique) ou les flux provenant de fondations philanthropiques sont également disponibles.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2a.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut. Nous disposons également d'un <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">manuel des codes pour les tableaux du CAD et SNPC</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,DONOR=DAC+AUS+AUT+BEL+CAN+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ITA+JPN+KOR+LVA+LTU+LUX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+GBR+USA,PRICE_BASE=Q,UNIT_MEASURE=USD DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC2B full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table2b_Data.zip Données completes CAD2B (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table2b_Data.zip DAC2B: Other official flows (OOF) and export credits CAD2B: Autres apports du secteur public (AASP) et crédits à l'exportation <p>This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral disbursements of other official flows (OOF) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible, including private sector instruments and officially-supported export credits.</p><p>OOF (excluding export credits) are transactions that do not meet the conditions for eligibility as ODA, either because they are not primarily aimed at development, or they are not sufficiently concessional. Further information on the criteria for OOF are available in Chapter 1 of the Converged Statistical Reporting Directives. Officially supported export credits are extended by government-owned or -controlled specialised export-financing agencies or institutions for commercial purposes to finance a specific purchase of goods or services from within the creditor country.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2b.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute. We also have a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">codebook for the DAC and CRS tables</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des versements bilatéraux et multilatéraux d'autres apports du secteur public (AASP) aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD et aux agences multilatérales éligibles à l'APD, y compris les instruments du secteur privé et les crédits à l'exportation bénéficiant d'un soutien public.</p><p>L'AASP (à l'exclusion des crédits à l'exportation) sont des transactions qui ne remplissent pas les conditions d'éligibilité à l'APD, soit parce qu'elles ne sont pas principalement destinées au développement, soit parce qu'elles ne sont pas suffisamment concessionnelles. De plus amples informations sur les critères de l'AASP sont disponibles dans le chapitre 1 des directives de notification statistique convergées. Les crédits à l'exportation bénéficiant d'un soutien public sont accordés par des agences ou institutions spécialisées dans le financement des exportations, détenues ou contrôlées par l'État, à des fins commerciales pour financer un achat spécifique de biens ou de services dans le pays créancier.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC2b.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut. Nous disposons également d'un <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">manuel des codes pour les tableaux du CAD et SNPC</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=305,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC3A full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table3a_Data.zip Données completes CAD3A (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table3a_Data.zip DAC3A: Aid (ODA) commitments to countries and regions CAD3A: Engagements d'aide (APD) vers les pays et régions <p>This dataset provides aggregate statistics on the geographical distribution of bilateral and multilateral commitments of official development assistance (ODA) to developing countries and territories on the DAC List of ODA Recipients and multilateral agencies that are ODA-eligible. These data are presented by provider and partner country.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC3a.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute. We also have a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">codebook for the DAC and CRS tables</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des engagements bilatéraux et multilatéraux d'aide publique au développement (APD) aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD et aux agences multilatérales éligibles à l'APD. Ces données sont présentées par fournisseur et par pays partenaire.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC3a.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut. Nous disposons également d'un <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">manuel des codes pour les tableaux du CAD et SNPC</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,MEASURE=490,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE DAC4 full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table4_Data.zip Données completes CAD4 (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/Table4_Data.zip DAC4: Private direct investment and other private capital CAD4: Investissements directs privés et autres apports de capitaux privés <p>This dataset provides aggregate statistics on the geographical distribution of bilateral disbursements of private flows to developing countries and territories on the DAC List of ODA Recipients. Private flows are flows undertaken by firms and individuals residing in the reporting country.</p><p>To assist with the transition between systems, we provide a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC4.csv">mapping of codes</a> between OECD.Stat (legacy) and the OECD Data Explorer. Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute. We also have a <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">codebook for the DAC and CRS tables</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur la répartition géographique des versements bilatéraux de flux privés aux pays et territoires en développement figurant sur la liste des bénéficiaires de l'APD du CAD. Les flux privés sont des flux entrepris par des entreprises et des individus résidant dans le pays de notification.</p><p>Pour faciliter la transition entre les systèmes, nous fournissons une <a href="https://webfs.oecd.org/oda/DataCollection/Resources/dotStat/Correspondences_DAC4.csv">correspondance des codes</a> entre OECD.Stat (ancien système) et OECD Data Explorer. Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut. Nous disposons également d'un <a href="https://webfs.oecd.org/oda/DataCollection/Resources/DAC-tables-CRS-codebook.xlsx">manuel des codes pour les tableaux du CAD et SNPC</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE,BASE_PER NOT_DISPLAYED DONOR=ALLD,MEASURE=510,UNIT_MEASURE=USD,LASTNPERIODS=5,RECIPIENT=DPGC+E+ALB+BLR+BIH+XKV+MDA+MNE+MKD+SRB+TUR+UKR+SFRY_X+E_X+F+F4+DZA+EGY+LBY+MAR+TUN+F4_X+F6+F3+BDI+COM+DJI+ERI+ETH+KEN+MDG+MWI+MUS+MOZ+RWA+SYC+SOM+SSD+SDN+TZA+UGA+ZMB+ZWE+F3_X+F5+AGO+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F5_X+F7+BWA+SWZ+LSO+NAM+ZAF+F7_X+F8+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+MRT+NER+NGA+SHN+SEN+SLE+TGO+F8_X+F6_X+F_X+A+A5+A4+ATG+CUB+DMA+DOM+GRD+HTI+JAM+MSR+LCA+VCT+A4_X+A3+BLZ+CRI+SLV+GTM+HND+MEX+NIC+PAN+A3_X+A5_X+A7+ARG+BOL+BRA+CHL+COL+ECU+GUY+PRY+PER+SUR+URY+VEN+A7_X+A_X+S+S97+KHM+CHN+PRK+IDN+LAO+MYS+MNG+PHL+THA+TLS+VNM+S97_X+S4_S7+AFG+ARM+AZE+BGD+BTN+GEO+IND+KAZ+KGZ+MDV+MMR+NPL+PAK+LKA+TJK+TKM+UZB+S4_X+S7_X+S4_S7_X+F97+IRN+IRQ+JOR+LBN+SYR+PSE+YEM+F97_X+S_X+O+O7+FJI+PNG+SLB+VUT+O7_X+O8+KIR+MHL+FSM+NRU+PLW+O8_X+O9+COK+NIU+WSM+TKL+TON+TUV+WLF+O9_X+O_X+DPGC_X DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure Geographical distribution of financial flows to developing countries Répartition géographique des flux vers les pays en développement <p>Comprehensive data on the volume, origin and types of aid and other resource flows to developing countries on the <a href="https://oe.cd/dac-list-oda-recipients">DAC List of ODA recipients</a>.<br/>DAC bilateral flow figures are drawn from Member countries replies to questionnaires issued by the OECD Secretariat.</p><p>The data show each country's receipts of official development assistance as well as other official and private flows from members of the Development Assistance Committee of the OECD, multilateral agencies and other key providers. This DataFlow replaces the publication, "Geographical Distribution of Financial Flows to Developing Countries" – see the <a href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/03/geographical-distribution-of-financial-flows-to-developing-countries-2024_33436c6e/fbd9569c-en-fr.pdf">2024 edition</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Des données complètes sur le volume, la provenance et les types d'aide et d'autres apports de ressources aux pays en développement sur la <a href="https://oe.cd/liste-cad">Liste du CAD des bénéficiaires de l'APD</a>.<br/>Les chiffres du CAD flux bilatéraux sont issus de pays membres des réponses aux questionnaires publiés par le Secrétariat de l'OCDE.</p><p>Ces données présentent les montants reçus par chaque pays au titre de l'aide publique au développement, ainsi que les autres flux officiels et privés provenant des membres du Comité d'aide au développement de l'OCDE, des agences multilatérales et d'autres bailleurs de fonds importants. Ce DataFlow remplace la publication intitulée « Répartition géographique des flux financiers vers les pays en développement » – voir <a href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/03/geographical-distribution-of-financial-flows-to-developing-countries-2024_33436c6e/fbd9569c-en-fr.pdf">la publication de 2024</a>.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED RECIPIENT=DPGC,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Total ODF full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/TotalODF_Data.zip Données completes Total ODF (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/TotalODF_Data.zip Official development financing (ODF) by country and region Financement public du développement (FPD) par pays et région <p>Official Development Financing (ODF), measured for recipient countries only, is defined as the sum of their receipts of bilateral ODA, concessional and non-concessional resources from multilateral sources, and bilateral other official flows made available for reasons unrelated to trade, in particular loans to refinance debt.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Financement public du développement (FPD) (agrégat calculé par bénéficiaires) : le total pour chaque bénéficiaire des apports d'APD bilatérale, des ressources mises à disposition par le secteur multilatéral, quelque soit l’élément de libéralité, et des AASP fournis pour des raisons n'ayant pas trait au commerce international, plus particulièrement les prêts dont l'objet est de refinancer l'endettement.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED DONOR=DAC,MEASURE=967,PRICE_BASE=Q,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Total Official full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/TotalOfficial_Data.zip Données completes Total Official (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/TotalOfficial_Data.zip Official flows by country and region Apports secteur public par pays et région <p>This dataset provides aggregate statistics on official flows, which are the sum of official development assistance (ODA) and other official flows (OOF) disbursements to the recipient country shown.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des statistiques agrégées sur les flux officiels, qui sont la somme des versements d'aide publique au développement (APD) et d'autres apports du secteur public (AASP) au pays bénéficiaire indiqué.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN 1 SEARCH_WEIGHT OBS_STATUS=A,FLOW_TYPE NOT_DISPLAYED DONOR=DAC,UNIT_MEASURE=USD,LASTNPERIODS=5 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE TotalReceipts full dataset (dotStat format)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/TotalReceipts_Data.zip Données completes TotalReceipts (formatté dotStat)|https://webfs-dcd.oecd.org/files/dotStat/DSD_DAC2/TotalReceipts_Data.zip Receipts by country and region Recettes par pays et région <p>This dataset provides information on partner countries' total net receipts of financial flows. These flows include official development assistance (ODA), other official flows (OOF), and changes in the bilateral long-term assets of the private non-monetary and monetary sectors (e.g., guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks).</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>. You may also be interested in our latest <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">dashboards</a>.</p><p>While you are here, please take a moment to <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">answer our short survey</a> to inform the next generation of dissemination tools of OECD development finance statistics.</p> <p>Cet ensemble de données fournit des informations sur les recettes nettes totales des flux financiers des pays partenaires. Ces flux comprennent l'aide publique au développement (APD), les autres apports du secteur public (AASP) et les variations des actifs bilatéraux à long terme des secteurs privés non monétaires et monétaires (par exemple, les crédits à l'exportation garantis, les investissements directs privés, les investissements de portefeuille et, dans la mesure où ils ne sont pas couverts par les rubriques précédentes, les prêts accordés par les banques privées).</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais). Nos derniers <a href="https://www.oecd.org/en/data/dashboards-and-tools.html?orderBy=mostRecent&page=0&facetTags=oecd-policy-areas%3Apa3">tableaux de bord</a> pourraient également vous intéresser.</p><p>Profitez de votre visite pour <a href="https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=1MdBrGEfDUaw9PySWitHHJlgUay9zUlGq1KOvaQB5e1UOFVZTERHQlIwWlo4MlE3UTdQUTZMNzVBRi4u&route=shorturl">répondre à notre brève enquête</a> (en anglais) afin de contribuer à l'élaboration de la prochaine génération d'outils de diffusion des statistiques de l'OCDE sur le financement du développement.</p> NonProductionDataflow true DONOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DEFL_BASE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,RECIPIENT,SECTOR,PRICE_BASE NOT_DISPLAYED LASTNPERIODS=5,DONOR=DAC+AUS+AUT+BEL+CAN+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ITA+JPN+KOR+LVA+LTU+LUX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+GBR+USA+4EU001,DEFL_BASE=2023 DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure ODA deflators by DAC member Déflateurs APD par membre du CAD <p>This table contains deflators for resource flows for individual DAC Members from 1966 as well as the TOTAL DAC deflator, and the deflator for the EURO (EC).</p><p>The deflators include the effect of exchange rate changes and are therefore only applicable to US dollar figures.</p><p>The OECD uses the latest deflator to convert current prices to constant prices. The latest available base year used is the base year equal to 100.</p><p>The OECD applies the total DAC deflator to individual recipient countries and multilateral donors to calculate their receipts or flows in constant prices.</p> <p>Ce tableau contient des déflateurs pour les flux de ressources pour les membres du CAD à partir de 1966 ainsi que le déflateur du total du CAD, et le déflateur de l'euro (CE).</p><p>Les déflateurs comprennent l'effet des variations des taux de change, et ne sont donc applicables aux montants en dollars des États-Unis.</p><p>L'OCDE utilise les dernières déflateur pour convertir des prix courants en prix constants. La dernière année de base utilisée est l'année égale à 100.</p><p>L'OCDE applique le déflateur du total du CAD aux pays bénéficiaires et donateurs multilatéraux pour calculer leurs recettes ou les flux en prix constants.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,DONOR,BASE_PER,SECTOR NOT_DISPLAYED RECIPIENT=DPGC+E+ALB+BLR+BIH+XKV+MDA+MNE+MKD+SRB+TUR+UKR+SFRY_X+E_X+F+F4+DZA+EGY+LBY+MAR+TUN+F4_X+F6+F3+BDI+COM+DJI+ERI+ETH+KEN+MDG+MWI+MUS+MOZ+RWA+SYC+SOM+SSD+SDN+TZA+UGA+ZMB+ZWE+F3_X+F5+AGO+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F5_X+F7+BWA+SWZ+LSO+NAM+ZAF+F7_X+F8+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+MRT+NER+NGA+SHN+SEN+SLE+TGO+F8_X+F6_X+F_X+A+A5+A4+ATG+CUB+DMA+DOM+GRD+HTI+JAM+MSR+LCA+VCT+A4_X+A3+BLZ+CRI+SLV+GTM+HND+MEX+NIC+PAN+A3_X+A5_X+A7+ARG+BOL+BRA+CHL+COL+ECU+GUY+PRY+PER+SUR+URY+VEN+A7_X+A_X+S+S97+KHM+CHN+PRK+IDN+LAO+MYS+MNG+PHL+THA+TLS+VNM+S97_X+S4_S7+AFG+ARM+AZE+BGD+BTN+GEO+IND+KAZ+KGZ+MDV+MMR+NPL+PAK+LKA+TJK+TKM+UZB+S4_X+S7_X+S4_S7_X+F97+IRN+IRQ+JOR+LBN+SYR+PSE+YEM+F97_X+S_X+O+O7+FJI+PNG+SLB+VUT+O7_X+O8+KIR+MHL+FSM+NRU+PLW+O8_X+O9+COK+NIU+WSM+TKL+TON+TUV+WLF+O9_X+O_X+DPGC_X,LASTNPERIODS=1 DEFAULT RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT GNI and population indicators by ODA recipient country Indicateurs du RNB et de la population par pays bénéficiaire de l'APD <p>This table provides information on the main relevant indicators. The data have mainly been supplied by the World Bank or the United Nations (WPP), and cover, where available:</p><ol><li>Current Gross National Income (GNI) in US $ millions;</li><li>GNI per capita (US $);</li><li>Population.</li></ol> <p>Ce tableau présente les principaux indicateurs utiles pour les pays bénéficiaires d’aide. Les données ont été fournies par la Banque Mondiale ou les Nations Unies (WPP) et couvrent, quand ils sont disponibles :</p><ol><li>le Revenu national brut (RNB) en millions de dollars US;</li><li>le RNB par habitant ($ US);</li><li>la population.</li></ol> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,MARKER NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,SCORE=2+1+10+0+99,FLOW_TYPE=C,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Gender 2023-24 data.zip (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2023-24 data.zip Gender 2023-24 data.zip (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2023-24 data.zip EXT_RESOURCE Gender 2019-22 data.zip (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2019-22 data.zip Gender 2019-22 data.zip (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2019-22 data.zip EXT_RESOURCE Gender 2015-18 data.zip (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2015-18 data.zip Gender 2015-18 data.zip (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2015-18 data.zip EXT_RESOURCE Gender 2011-14 data.zip (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2011-14 data.zip Gender 2011-14 data.zip (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2011-14 data.zip EXT_RESOURCE Gender 2007-10 data.zip (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2007-10 data.zip Gender 2007-10 data.zip (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2007-10 data.zip EXT_RESOURCE Gender 2002-06 data.zip (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2002-06 data.zip Gender 2002-06 data.zip (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_GNDR/Gender 2002-06 data.zip 9000 MAX_TABLE_DATA Gender Equality: Aid (ODA) activities in support of gender equality and women's empowerment Égalité des genres : Activités d'aide (APD) à l'appui de l'égalité des genres et l'autonomisation des femmes <p>This dataset contains data on bilateral allocable ODA in support of gender equality and women's empowerment, using the OECD DAC Gender Equality policy marker, from the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are available for commitments since 2002 and disbursements since 2009.</p><p>In their reporting to the CRS, providers are requested to indicate for each activity whether or not it includes gender equality as one of its policy objectives. An activity can include gender equality as its "principal" objective (score 2) or as a "significant" objective (score 1), or not at all "screened, not targeted" (score 0). An activity may also be "not screened" against the marker (blank or empty field). The column "Gender total" includes the activities marked as "principal" plus those marked as "significant".</p><p>For more information on the gender equality marker, see the <a href="https://one.oecd.org/document/DCD/DAC/GEN(2025)2/en/pdf">Handbook on the OECD-DAC Gender Equality Policy Marker</a>. Please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p><p>To view these data presented in ready-made charts, see the <a href="https://www.oecd.org/en/data/dashboards/development-finance-for-gender-equality.html">Dashboard on Development Finance for Gender Equality</a>.</p> <p>Cet ensemble de données contient des données sur l'APD bilatérale ventilable à l'appui de l'égalité des genres et de l'autonomisation des femmes, en utilisant le marqueur de l’orientation de la politique de coopération vers l'égalité des genres, provenant du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD). Ces données sont disponibles pour les engagements depuis 2002 et les versements depuis 2009.</p><p>Dans le cadre de la communication annuelle d'informations au SNPC, les membres du CAD doivent indiquer, pour chaque activité si celle-ci poursuit un objectif d'égalité des genres. Une activité peut poursuivre l'égalité des genres en tant qu'objectif « principal » (valeur 2) ou « significatif » (valeur 1), ou ne pas poursuivre l'égalité des genres du tout « examiné, non orienté » (valeur 0). Une activité peut aussi être « non examiné » au regard du marqueur (champ vide). La colonne « Gender total » comprend les activités marquées comme « principales » ainsi que celles marquées comme « significatives ».</p><p>Pour plus d'informations sur le marqueur Égalité des genres, veuillez consulter le <a href="https://one.oecd.org/document/DCD/DAC/GEN(2025)2/fr/pdf">Manuel relatif au marqueur Égalité des genres</a> du CAD de l'OCDE. Veuillez consulter la page sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/themes/finance-au-service-du-developpement-durable.html">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p><p>Pour consulter ces données présentées sous forme de graphiques prêts à l'emploi, consultez le <a href="https://www.oecd.org/en/data/dashboards/development-finance-for-gender-equality.html">Tableau de bord sur le financement du développement pour l'égalité des genres</a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MD_DIM DRILLDOWN 1.4 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=DAC,SECTOR=1000,MEASURE=100,CHANNEL=_T,MODALITY=_T,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure CRS: Creditor Reporting System grant equivalent SNPC: Système de notification des pays créanciers (équivalent-don) <p>This dataset provides readily available, granular data on who is giving what aid, to where, and for what purpose, on a grant equivalent basis, and are available for data from 2018 onwards. These data are comparable across all providers who report their activity-level statistics to the OECD.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p> <p>Cet ensemble de données fournit des données granulaires facilement accessibles sur qui donne quelle aide, à quel pays et dans quel objectif, sur la base des équivalents-dons. Ces données sont comparables entre tous les fournisseurs qui notifient leurs statistiques au niveau d'activité à l'OCDE.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p> NonProductionDataflow true EXT_RESOURCE Financements_par fournisseur_toutes les années (en anglais uniquement)|https://webfs.oecd.org/oda/DataExplorer/Mobilisation_Provider-perspective_2012-2024.zip Provider-perspective_All years|https://webfs.oecd.org/oda/DataExplorer/Mobilisation_Provider-perspective_2012-2024.zip EXT_RESOURCE Recipient-perspective_All years|https://webfs.oecd.org/oda/DataExplorer/Mobilisation_Recipient-perspective_2012-2024.zip Financements_par bénéficiaire_toutes les années (en anglais uniquement)|https://webfs.oecd.org/oda/DataExplorer/Mobilisation_Recipient-perspective_2012-2024.zip RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PROVIDER,SECTOR,MEASURE,FLOWTYPE LAYOUT_ROW_SECTION OBS_STATUS=A NOT_DISPLAYED LASTNPERIODS=10,PROVIDER=ALLD+DAC+WXDAC+ALLM,SECTOR=1000,MEASURE=_T,FLOW_TYPE=100,PRICE_BASE=V DEFAULT PROVIDER:OECD.DCD.FSD:HCL_MOBDONORS(1.1).H,RECIPIENT:OECD.DCD.FSD:HCL_MOBRECIPIENTS(1.0).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure ;COMBINED_UNIT_MEASURE:Unité de mesure 10000 MAX_TABLE_DATA CRS – Private: Mobilised private finance for development SNPC - Privé: Finance privée mobilisée pour le développement <p>This dataset presents information on amounts mobilised from the private sector from members' official sector interventions. The term "mobilisation" describes the causal link between private finance made available for a specific project and an official intervention.</p><p>Please also consult the <a href="https://www.oecd.org/en/data/dashboards/mobilisation-of-private-finance-for-development.html">OECD Dashboard on Mobilisation</a>, as well as our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a> and <a href="https://www.oecd.org/en/topics/leveraging-private-finance-for-development.html">Mobilising Private Finance</a>. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p>Cet ensemble de données présente des informations sur les montants mobilisés auprès du secteur privé pour les interventions des membres dans le secteur officiel. Le terme « mobilisation » décrit le lien de causalité entre le financement privé mis à disposition pour un projet spécifique et une intervention officielle.</p><p>Veuillez consulter également le <a href="https://www.oecd.org/fr/data/dashboards/mobilisation-of-private-finance-for-development.html">tableau de bord de l'OCDE sur la Mobilisation</a>, ainsi que notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a> et la <a href="https://www.oecd.org/fr/data/dashboards/mobilisation-of-private-finance-for-development.html">mobilisation des financements privés pour le développement</a>. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>.</p> NonProductionDataflow true CHANNEL LAYOUT_ROW MEASURE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 1.4 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MODALITY,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=1,DONOR=DAC,RECIPIENT=DPGC,SECTOR=1000,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Entire dataset (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_MULTI/MultiSystem entire dataset.zip La base entière (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_MULTI/MultiSystem entire dataset.zip Providers' total use of the multilateral system Utilisation du système multilatéral par les fournisseurs (SNPC) <p>This dataset presents providers' total use of the multilateral system, including their multilateral aid ("Core contributions to") and bilateral aid channelled through multilateral organisations ("Contributions through"). These data originate from members' reporting to the Development Assistance Committee (DAC) Creditor Reporting System (CRS). These data are published starting with 2011 data – activity-level data for multilateral aid is not complete in CRS for earlier years.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p><p><b>Please note</b>: the raw data, available under "Related files" below, has been updated on 06/02/2025 to reflect a correction related to the inclusion/exclusion of certain criteria, which affected the overall values for certain providers. Please refer to this file for the latest, corrected version.</p> <p>Cet ensemble de données présente l'utilisation totale du système multilatéral par les fournisseurs, y compris leur aide multilatérale (« Core contributions to ») et l'aide bilatérale acheminée par l'intermédiaire d'organisations multilatérales (« Contributions through »). Ces données proviennent des notifications des membres au Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD). Ces données sont publiées à partir de 2011 - les données au niveau de l'activité pour l'aide multilatérale ne sont pas complètes dans le SNPC pour les années antérieures.</p><p>Veuillez consulter notre base de données des <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p><p><b>Veuillez noter</b> que les données brutes, disponibles sous "Fichiers associés" ci-dessous, ont été mises à jour le 06/02/2025 pour refléter une correction liée à l'inclusion/exclusion de certains critères, ce qui a affecté les valeurs globales pour certains fournisseurs. Veuillez vous référer à ce fichier pour la dernière version corrigée.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY,ALLOCABLE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,MARKER=60,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE OtherMarkers 2023-24 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2023-24 data.zip OtherMarkers 2023-24 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2023-24 data.zip EXT_RESOURCE OtherMarkers 2019-22 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2019-22 data.zip OtherMarkers 2019-22 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2019-22 data.zip EXT_RESOURCE OtherMarkers 2015-18 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2015-18 data.zip OtherMarkers 2015-18 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2015-18 data.zip EXT_RESOURCE OtherMarkers 2002-14 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2002-14 data.zip OtherMarkers 2002-14 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_OTHR/OtherMarkers 2002-14 data.zip 9000 MAX_TABLE_DATA OtherMarkers: Aid (ODA) activities targeting other policy objectives OtherMarkers (SNPC): Activités d'aide (APD) visant d'autres objectifs politiques <p>This dataset contains bilateral commitment data on aid in support of five policy markers: 1) democratic and inclusive governance, 2) reproductive, maternal, newborn and child health (RMNCH), 3) nutrition, 4) inclusion and empowerment of persons with disabilities, and 5) disaster risk reduction (DRR) from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.</p><p>In their reporting to the DAC CRS, donors are requested to indicate, for each activity, whether it targets the above-mentioned markers or not. A scoring system of three values is used, in which aid activities are marked as targeting the policy objective as either as the "principal" or "significant" objective, or not at all. Reporting is voluntary for the nutrition and disability markers.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p> <p>Cet ensemble de données contient des données sur les engagements bilatéraux en matière d'aide en faveur de cinq marqueurs politiques : 1) la gouvernance démocratique et inclusive, 2) la santé reproductive, maternelle, néonatale et infantile (RMNCH), 3) la nutrition, 4) l'inclusion et l'autonomisation des personnes handicapées, et 5) la réduction des risques de catastrophe (RRC) à partir de la base de données du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD).</p><p>Dans leur notification au SNPC du CAD, les donateurs sont invités à indiquer, pour chaque activité, si elle cible ou non les marqueurs susmentionnés. Un système de notation à trois valeurs est utilisé, dans lequel les activités d'aide sont marquées comme ciblant l'objectif politique en tant qu'objectif « principal » ou « significatif », ou pas du tout. La notification est volontaire pour les marqueurs de la nutrition et du handicap.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MD_DIM DRILLDOWN 1.2 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,CHANNEL,MODALITY,ALLOCABLE,MARKER,SCORE NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=5,DONOR=9PRIV0,SECTOR=1000,MEASURE=_T,FLOW_TYPE=D,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE Entire dataset (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_PPFD/Philan entire dataset.zip La base entière (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_PPFD/Philan entire dataset.zip Private Philanthropy for Development Philanthropie privée pour le développement <p>This dataset provides project-level information for over 40 of the largest private philanthropic foundations working for development. The data is reported to the OECD's Development Co-operation Directorate, using the same statistical standards and definitions as for ODA.</p><p>For providers who are unable to share data on both commitments and disbursements, the missing flow type is proxied based on the one that is available. Explore profiles of private philanthropic providers <a href="https://www.oecd.org/en/topics/development-co-operation-profiles.html#private-philanthropic-providers">Development co-operation profiles</a>.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p> <p>Cet ensemble de données fournit des informations au niveau des projets pour plus de 40 des plus grandes fondations philanthropiques privées travaillant pour le développement. Les données sont notifiées à la Direction de la coopération pour le développement de l'OCDE en utilisant les mêmes normes et définitions statistiques que celles de l'APD.</p><p>Pour les fournisseurs qui ne sont pas en mesure de partager des données à la fois sur les engagements et les versements, le type de flux manquant est remplacé par celui qui est disponible. Découvrez les profils des organismes philanthropiques privés <a href="https://www.oecd.org/fr/themes/les-profils-de-cooperation-pour-le-developpement.html#private-philanthropic-providers">Les profils de coopération pour le développement</a>.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p> NonProductionDataflow true MEASURE LAYOUT_ROW DONOR LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 1.35 SEARCH_WEIGHT OBS_STATUS=A,FREQ,MD_DIM,MD_ID,FLOW_TYPE=1140 NOT_DISPLAYED MD_DIM=_T,LASTNOBSERVATIONS=1,DONOR=ALLD+DAC_EC+AUS+AUT+BEL+CAN+CZE+DNK+FIN+FRA+DEU+ITA+JPN+KOR+NLD+NOR+PRT+ESP+SWE+CHE+GBR+USA+4EU001,RECIPIENT=DPGC,FLOW_TYPE=1160,SECTOR=1000,MEASURE=PSI_OG_C+PSI_OG_A,FINANCE_TYPE=_T,CHANNEL=_T DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE PSI 2018-24 (dotStat format)-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_PSI/PSI%202018-24%20data.zip ISP 2018-24 (en format dotStat)-v20260803|https://webfs-dcd.oecd.org/files/dotStat/DSD_PSI/PSI%202018-24%20data.zip Private sector instruments (PSI) Instruments du secteur privé (ISP) <p>Private sector instruments (PSI) include loans to the private sector, guarantees, equity investments, mezzanine finance instruments, and reimbursable grants. In 2023, the Development Assistance Committee (DAC) revised its rules for treating PSI in Official Development Assistance (ODA). The agreed treatment of PSI aims to enhance the measurement of donor effort, stimulate innovation in development finance, and encourage the mobilisation of private finance. It also seeks to promote local private sector development and domestic resource mobilisation, while strengthening ODA integrity.</p><p>This dataset provides readily available, granular data on who is extending PSI, to where, using which financial instruments and for what purpose. The data is presented both on a flow and grant equivalent bases (the latter being the measurement basis for ODA since 2018) and includes information of the additionality of the transactions with the private sector. The data are comparable across all providers who report their activity-level statistics to the OECD.</p><p>Please consult our database of <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">development finance classifications</a> for further information on all possible codes for each attribute.</p><p>For more information on PSI, please see the OECD's pages on <a href="https://www.oecd.org/en/topics/oda-standards.html">ODA standards</a> and <a href="https://www.oecd.org/en/topics/sub-issues/oda-standards/modernising-official-development-assistance-oda.html">ODA modernisation</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2025/03/modernising-official-development-assistance-oda-frequently-asked-questions.html">frequently asked questions (FAQs)</a> on ODA modernisation and PSI. See also the <a href="https://one.oecd.org/document/DCD/DAC%282024%2940/ADD3/FINAL/en/pdf">addendum 3 of the converged statistical reporting directives</a> governing PSI data, the <a href="https://one.oecd.org/document/DCD/DAC/STAT(2024)15/en/pdf">Handbook on private sector instruments</a>, alongside <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>. You can also consult the dashboard on private sector instruments providing further data visualisations on PSI (forthcoming).</p> <p>Les instruments du secteur privé (ISP) comprennent les prêts au secteur privé, les garanties, les investissements en fonds propres, les instruments de financement mezzanine et les subventions remboursables. En 2023, le Comité d'aide au développement (CAD) a révisé ses règles concernant le traitement des ISP dans l'Aide publique au développement (APD). Le traitement convenu des ISP vise à améliorer la mesure de l'effort des bailleurs, à stimuler l'innovation dans le financement du développement et à encourager la mobilisation de financements privés. Il cherche également à promouvoir le développement du secteur privé local et la mobilisation des ressources nationales, tout en renforçant l'intégrité de l'APD.</p><p>Ce jeu de données fournit des données granulaires et facilement accessibles sur qui fournit des ISP, vers quelles destinations, à l'aide de quels instruments financiers et dans quel but. Les données sont présentées à la fois en termes de flux et en équivalent-don (ce dernier étant la base de mesure de l'APD depuis 2018) et incluent des informations sur l'additionnalité des transactions avec le secteur privé. Les données sont comparables entre tous les fournisseurs qui déclarent leurs statistiques au niveau des activités à l'OCDE.</p><p>Veuillez consulter notre base de données sur les <a href="https://development-finance-codelists.oecd.org/CodesList.aspx">classifications du financement du développement</a> pour plus d'informations sur tous les codes possibles pour chaque attribut.</p><p>Pour plus d'informations sur les ISP, veuillez consulter les pages de l'OCDE sur les <a href="https://www.oecd.org/fr/themes/normes-de-l-apd.html">normes de l'APD</a> et la <a href="https://www.oecd.org/fr/topics/sub-issues/oda-standards/modernising-official-development-assistance-oda.html">modernisation de l'APD</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2025/03/modernising-official-development-assistance-oda-frequently-asked-questions.html">foire aux questions (FAQ)</a> sur la modernisation de l'APD et les ISP. Voir également l'<a href="https://one.oecd.org/document/DCD/DAC%282024%2940/ADD3/FINAL/en/pdf">addendum 3 des directives statistiques</a> (en anglais) convergées régissant les données sur les ISP, le <a href="https://one.oecd.org/document/DCD/DAC/STAT(2024)15/en/pdf">Manuel sur les instruments du secteur privé</a> (en anglais), ainsi que d'<a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">autres orientations sur l'utilisation de nos données</a>. Vous pouvez également consulter le tableau de bord sur les instruments du secteur privé qui fournit des visualisations supplémentaires sur les ISP (à venir).</p> NonProductionDataflow true MEASURE LAYOUT_ROW DONOR LAYOUT_COLUMN OBS_STATUS=A,FREQ=OA,DONOR=ALLD+ALLM NOT_DISPLAYED LASTNPERIODS=5 DEFAULT DAC members’ methodologies for reporting in-donor refugee costs in ODA Méthodes des membres du CAD pour calculer le coût des réfugiés dans les pays donneurs dans l'APD <p>This dataset contains qualitative data on DAC members' methodologies for reporting in-donor refugee costs in ODA. It provides the possibility to gain insights in the various methodologies used, and to compare them among members.</p><p>The methodologies were collected and reviewed by the DAC Working Party on Development Finance Statistics between 2019 and 2021. Members may update their methodology if needed. To date, the data reflects the following updates: Sweden (2025).</p><p>Further information on the reporting rules as well as most members' entire methodologies can be found on the <a href="https://www.oecd.org/en/topics/sub-issues/oda-eligibility-and-conditions/in-donor-refugee-costs-in-official-development-assistance-oda.html">OECD webpage on in-donor refugee costs</a>.</p> <p>Cet ensemble de données contient des données qualitatives sur les méthodologies utilisées par les membres du CAD pour rapporter les coûts des réfugiés dans l'APD. Il permet de mieux comprendre les différentes méthodologies utilisées et de les comparer entre les membres.</p><p>Les méthodologies ont été collectées et examinées par le Groupe de travail du CAD sur les statistiques du financement du développement entre 2019 et 2021. Les membres peuvent mettre à jour leur méthodologie si nécessaire. À ce jour, les données reflètent les mises à jour suivantes : Suède (2025).</p><p>De plus amples informations sur les règles de déclaration ainsi que sur les méthodologies complètes de la plupart des membres sont disponibles sur la <a href="https://www.oecd.org/fr/topics/sub-issues/oda-eligibility-and-conditions/in-donor-refugee-costs-in-official-development-assistance-oda.html">page web de l'OCDE consacrée aux coûts des réfugiés dans les pays donneurs. </a>.</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD,SCORE LAYOUT_COLUMN DONOR,MARKER,SECTOR LAYOUT_ROW_SECTION MD_DIM DRILLDOWN 0.9999 SEARCH_WEIGHT OBS_STATUS=A,MD_DIM,MD_ID,MEASURE,CHANNEL,MODALITY NOT_DISPLAYED MD_DIM=_T,LASTNPERIODS=2,DONOR=DAC_EC,SECTOR=1000,ALLOCABLE=2,MARKER=10,PRICE_BASE=Q DEFAULT DONOR:OECD.DCD.FSD:HCL_DACDONORS(1.6).H,RECIPIENT:OECD.DCD.FSD:HCL_DACRECIPIENTS(1.5).H HIER_CONTEXT UNIT_MEASURE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure EXT_RESOURCE RioMarkers 2022-24 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2022-24 data.zip RioMarkers 2022-24 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2022-24 data.zip EXT_RESOURCE RioMarkers 2018-21 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2018-21 data.zip RioMarkers 2018-21 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2018-21 data.zip EXT_RESOURCE RioMarkers 2014-17 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2014-17 data.zip RioMarkers 2014-17 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2014-17 data.zip EXT_RESOURCE RioMarkers 2010-13 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2010-13 data.zip RioMarkers 2010-13 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2010-13 data.zip EXT_RESOURCE RioMarkers 2006-09 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2006-09 data.zip RioMarkers 2006-09 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2006-09 data.zip EXT_RESOURCE RioMarkers 2002-05 (dotStat format)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2002-05 data.zip RioMarkers 2002-05 (en format dotStat)-v20260710|https://webfs-dcd.oecd.org/files/dotStat/DSD_RIOM/RioMarkers 2002-05 data.zip 9000 MAX_TABLE_DATA RioMarkers: Aid (ODA) activities targeting global environmental objectives RioMarkers (SNPC): Activités d'aide (APD) visant les objectifs environmentaux mondiaux <p>This dataset contains bilateral commitment data on aid in support of environment sustainability and aid to biodiversity, climate change mitigation, climate change adaptation and desertification from the Development Assistance Committee (DAC) Creditor Reporting System (CRS) database.</p><p>In their reporting to the DAC CRS, donors are requested to indicate for each activity whether it targets environment and the Rio Conventions (biodiversity, climate change mitigation, climate change adaptation and desertification) or not. A scoring system of three values is used, in which aid activities are marked as targeting environment as the "principal" or "significant" objective, or not at all. For more information on the scoring and criteria, please <a href="https://one.oecd.org/document/DCD/DAC/STAT(2025)50/REV2/en/pdf">see here</a>. Please note that the same activity can be marked for several objectives, and therefore caution should be used to avoid double-counting.</p><p>For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a> and <a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including <a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a> on ODA. See also the <a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a> governing these data, alongside <a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>, and a <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">DE User guide for DAC/CRS statistics</a>.</p> <p>Cet ensemble de données contient des données sur les engagements bilatéraux concernant l'aide en faveur de la durabilité environnementale, l'aide à la biodiversité, l'atténuation du changement climatique, l'adaptation au changement climatique et la désertification, provenant de la base de données du Système de notification des pays créanciers (SNPC) du Comité d'aide au développement (CAD).</p><p>Dans leur notification au SNPC du CAD, les donateurs sont invités à indiquer pour chaque activité si elle cible ou non l'environnement et les conventions de Rio (biodiversité, atténuation du changement climatique, adaptation au changement climatique et désertification). Un système de notation à trois valeurs est utilisé, dans lequel les activités d'aide sont marquées comme ciblant l'environnement en tant qu'objectif « principal » ou « significatif », ou pas du tout. Pour plus d'informations sur la notation et les critères, <a href="https://one.oecd.org/document/DCD/DAC/STAT(2025)50/REV2/fr/pdf">voir ici</a>. Veuillez noter qu'une même activité peut être marquée pour plusieurs objectifs et qu'il convient donc de faire preuve de prudence pour éviter les doubles comptages.</p><p>Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au développement</a> et le <a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du développement durable</a>, y compris la <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a> sur l'APD. Voir également les <a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique convergées</a> (en anglais) régissant ces données, ainsi que d'autres <a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos données</a>, ainsi qu'un <a href="https://webfs.oecd.org/oda/DataExplorer/DE_User_Guide_for_DAC-CRS_statistics.pdf">guide d'utilisation de l'ED consacré aux statistiques du CAD et du CRS</a> (en anglais).</p> NonProductionDataflow true REF_AREA,MEASURE,SEX,DEG_URB,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE TABLE_ID=(TAB01+TAB02+TAB03+TAB04+TAB05+TAB06+TAB07+TAB08+TAB09+TAB10+TAB11+TAB12+TAB13+TAB14+TAB15+TAB16+TAB17+TAB18+TAB19+TAB20+TAB21+TAB22+TAB23+TAB24+TAB25+TAB26+TAB27+TAB28+TAB29+TAB30+TAB31+TAB32+TAB33+TAB34+TAB35+TAB36+TAB37+TAB38+TAB39),RESOURCERICH=(Z+N) NOT_DISPLAYED TIME_PERIOD_START=2015,TIME_PERIOD_END=2024,REF_AREA=EGY+ZAF+COD+ETH+TZA+NGA,MEASURE=POPULATION+GDP+GDPINC_RLPC+INFLATION+EMPLOYMENT DEFAULT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) - full historic data Dynamiques du développement en Afrique (DDAf) - toutes les données historiques The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These statistics are collected from a variety of reputable international sources and are reported at the national level or for aggregations of relevant country groupings on an annual basis. The Annex includes 39 tables of indicators presenting different development themes. <br><br> This table shows all indicators included in all tables in the Statistical Annex, for all years reported. Users can compare time series for different countries, geographic areas, and development indicators selected using the table filters. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces statistiques sont collectées auprès de diverses sources internationales réputées et sont rapportées au niveau national ou pour des agrégations de groupes de pays pertinents sur une base annuelle. L'Annexe comprend 39 tableaux d'indicateurs présentant différents thèmes de développement. <br><br> Ce tableau montre tous les indicateurs inclus dans tous les tableaux de l'Annexe statistique, pour toutes les années déclarées. Les utilisateurs peuvent comparer des séries chronologiques pour différents pays, zones géographiques et indicateurs de développement sélectionnés à l'aide des filtres du tableau. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2010,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=GDPINC_RL DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP growth rate Dynamiques du développement en Afrique (DDAf) Tableau 02 - Taux de croissance annuel du PIB réel The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 2 shows the full time series of annual real GDP growth, up to present, and including projected real GDP growth rates over the next five years. L'Annexe statistique du rapport annuel sur les Dynamique de développement de l'Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 2 présente la série chronologique complète de la croissance annuelle du PIB réel jusqu’à présent, y compris les taux de croissance projetés du PIB réel au cours des cinq prochaines années. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2010,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=POPGRWTH DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 03 - Annual population growth rate Dynamiques du développement en Afrique (DDAf) Tableau 03 - Taux de croissance annuel de la population The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 3 shows the full time series of annual population growth, up to present, and including projected population growth over the next five years according the medium fertility variant scenario in the World Population Prospects 2022 from the UN Department of Economic and Social Affairs. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 3 présente la série chronologique complète de la croissance démographique annuelle, jusqu'à présent, et y compris la croissance démographique projetée au cours des cinq prochaines années, selon le scénario de la variante de fécondité moyenne dans les Perspectives de la population mondiale 2022 du Département des affaires économiques et sociales des Nations Unies. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2010,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=GDPINC_RLPC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP growth per capita Dynamiques du développement en Afrique (DDAf) Tableau 04 - Taux de croissance annuelle du PIB réel par habitant The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 4 shows the full time series of annual real GDP growth per capta, up to present, and including projected real GDP growth rates over the next five years calculated using the real GDP growth and population growth figures reported in the AfDD Statistical Annex. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 4 présente la série chronologique complète de la croissance annuelle du PIB réel par habitant, jusqu'à présent, et y compris les taux de croissance du PIB réel projetés au cours des cinq prochaines années, calculés à l'aide des chiffres de croissance du PIB réel et de croissance démographique rapportés dans l'Annexe statistique de l'DDAf. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2023,TIME_PERIOD_END=2023,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates Dynamiques du développement en Afrique (DDAf) Tableau 05 - Estimations démographiques The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 5 shows figures on population, broken down by rural and urban population, as well as old-age and child-dependency ratios. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques de développement en Afrique en anglais et en français. <br><br> Le tableau 5 présente les chiffres de la population, ventilés par population rurale et urbaine, ainsi que les taux de vieillesse et de dépendance des enfants. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,MEASURE=COARENT+FORRENT+NGSRENT+OILRENT+MINRENT+TOTNRRENT+AGRFR+MNIND+CNSTR+TRDHS+TNSCM+OTHER+MANUF+AGREMPPERTOT+INDEMPPERTOT+SRVEMPPERTOT+MANPPERTOT DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 08 - Sectoral breakdown of the economy Dynamiques du développement en Afrique (DDAf) Tableau 08 - Ventilation sectorielle de l'économie The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 8 shows the breakdown of national economies by sectors of activity, looking at share of employment, contributions to GDP, along with the impact of natural resource extraction on the economy. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 8 montre la répartition des économies nationales par secteurs d'activité, en examinant la part de l'emploi, les contributions au PIB, ainsi que l'impact de l'extraction des ressources naturelles sur l'économie. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 13 - Basic health indicators Dynamiques du développement en Afrique (DDAf) Tableau 13 - Indicateurs de santé de base The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 13 shows a few indicators of basic health, including life expectancy, fertility, and mortality by sex, and the Global Hunger Index. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 13 présente quelques indicateurs de santé de base, notamment l'espérance de vie, la fécondité et la mortalité par sexe, ainsi que l'indice de la faim dans le monde. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 15 - Growth decomposition by expenditure Dynamiques du développement en Afrique (DDAf) Tableau 15 - Décomposition de la croissance par dépenses The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 15 shows growth decomposition by expenditure, including gross fixed capital formation, changes in inventories, foreign balances, and trade balance. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 15 montre la décomposition de la croissance par dépenses, y compris la formation brute de capital fixe, les variations des stocks, les balances extérieures et la balance commerciale. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2021,TIME_PERIOD_END=2021,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 16 - Public finances Dynamiques du développement en Afrique (DDAf) Tableau 16 - Finances publiques The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 16 shows data on public finance, including taxes, revenues, expenditure, and debt. Some of these figures are not available at the national level, but only for aggregations of groups of countries. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 16 présente des données sur les finances publiques, y compris les impôts, les recettes, les dépenses et la dette. Certains de ces chiffres ne sont pas disponibles au niveau national, mais uniquement pour des agrégations de groupes de pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 17 - Trade by manufacturing intensity Dynamiques du développement en Afrique (DDAf) Tableau 17 - Intensité du commerce dans l’industrie manufacturière The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 17 shows data on public finance, including taxes, revenues, expenditure, and debt. Some of these figures are not available at the national level, but only for aggregations of groups of countries. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 17 présente des données sur les finances publiques, y compris les impôts, les recettes, les dépenses et la dette. Certains de ces chiffres ne sont pas disponibles au niveau national, mais uniquement pour des agrégations de groupes de pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 18 - Export diversification Dynamiques du développement en Afrique (DDAf) Tableau 18 - Diversification des exportations The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 18 shows indicators of the degree of export diversification, including the five most exported products by year, along with their share of exports. Please click on the metadata buttons by the numbers in order to find the products being referred to. This table also includes the number of export products that amount to 75% and 90% of total exports. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 18 présente des indicateurs du degré de diversification des exportations, y compris les cinq produits les plus exportés par année, ainsi que leur part dans les exportations. Veuillez cliquer sur les boutons de métadonnées à côté des numéros afin de trouver les produits auxquels il est fait référence. Ce tableau comprend également le nombre de produits d'exportation qui représentent 75% et 90% des exportations totales. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 19 - Global and regional trade Dynamiques du développement en Afrique (DDAf) Tableau 19 - Commerce international et régional The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 19 shows indicators of the importance of global and regional trade in national imports and exports. Indicators include percentage of total imports and exports to and from China, the USA, and the EU, within the same continent, and the same region as well as the share of intra- and inter-continental trade which are intermediate goods. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 19 présente des indicateurs de l’importance du commerce mondial et régional dans les importations et exportations nationales. Les indicateurs incluent le pourcentage des importations et exportations totales vers et depuis la Chine, les États-Unis et l'UE, au sein du même continent et de la même région, ainsi que la part du commerce intra et intercontinental qui correspond à des biens intermédiaires. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 20 - External financial inflows Dynamiques du développement en Afrique (DDAf) Tableau 20 - Apports financiers extérieurs The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 20 shows indicators of external financial flows in US dollars and as a percentage of GDP, including foreign direct investment, portfolio investment, net official development assistance, and remittances. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 20 présente les indicateurs des flux financiers externes en dollars américains et en pourcentage du PIB, y compris les investissements directs étrangers, les investissements de portefeuille, l'aide publique nette au développement et les envois de fonds. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 21 - Investment and capital stock Dynamiques du développement en Afrique (DDAf) Tableau 21 - Investissement et stock de capital The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 21 shows indicators of investment flows and capital stocks, in US dollars and as a percentage of GDP, including general government investment, public-private partnerships, and private investment. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 21 présente des indicateurs de flux d'investissement et de stocks de capital, en dollars américains et en pourcentage du PIB, y compris l'investissement des administrations publiques, les partenariats public-privé et l'investissement privé. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 22 - Returns on direct investments Dynamiques du développement en Afrique (DDAf) Tableau 22 - Retours sur investissements directs The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 22 shows indicators of returns on direct investments, as a percentage of GDP and in US dollars. Includes investment liabilities, debit, assets, and credit, and returns on inward and outward flows of investments. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 22 présente des indicateurs de rendements sur les investissements directs, exprimés en pourcentage du PIB et en dollars américains. Il comprend les passifs d'investissement, les débits, les actifs et les crédits, ainsi que les rendements sur les flux entrants et sortants d'investissements. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 23 - Ecological sustainability Dynamiques du développement en Afrique (DDAf) Tableau 23 - Durabilité écologique The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 23 shows indicators of ecological sustainability, in terms of land use. This includes number of hectars of land allocated to different kinds of use, carbon stock in living biomass, and fertiliser use, and wood production. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 23 présente des indicateurs de durabilité écologique, en termes d'utilisation des terres. Cela comprend le nombre d'hectares de terres alloués à différents types d'utilisation, le stock de carbone dans la biomasse vivante, l'utilisation d'engrais et la production de bois. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 25 - GHG Emissions by sector Dynamiques du développement en Afrique (DDAf) Tableau 25 - Émissions de GES par secteur The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 25 shows statistics on GHG emissions from different sources. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 25 présente des statistiques sur les émissions de GES provenant de différentes sources. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 26 - Electricity production and sustainable energy Dynamiques du développement en Afrique (DDAf) Tableau 26 - Production d'électricité et énergie durable The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 26 shows statistics on access to electricity for rural and urban populations, as well as statistics on different sources of electricity, electricity generation and capacity and in terms of public investment. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 26 présente des statistiques sur l'accès à l'électricité pour les populations rurales et urbaines, ainsi que des statistiques sur les différentes sources d'électricité, la production et la capacité d'électricité et en termes d'investissement public. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 27 - Origin and destination of added value Dynamiques du développement en Afrique (DDAf) Tableau 27 - Origine et destination géographiques de la valeur ajoutée The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 27 shows statistics on the origin and destination of added value, whether it is domestic, in neighbouring countries, within the same continent, or outside the continent. This is an indication of the degree to which national economies participate in regional and global value chains. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 27 présente des statistiques sur l'origine et la destination de la valeur ajoutée, qu'elle soit nationale, dans les pays voisins, au sein d'un même continent ou en dehors du continent. Cela indique dans quelle mesure les économies nationales participent aux chaînes de valeur régionales et mondiales. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 28 - International trade costs Dynamiques du développement en Afrique (DDAf) Tableau 28 - Coûts du commerce international The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 28 shows the average cost of importing and exporting goods calculated as a percentage of the value of goods traded, broken down by the origin and destination of the trade, whether it is with bordering countries, with countries in the same region, or the same continent. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 28 montre le coût moyen de l'importation et de l'exportation de marchandises calculé en pourcentage de la valeur des marchandises échangées, ventilé par origine et destination des échanges, qu'il s'agisse de pays limitrophes, de pays de la même région ou de la même région ou continent. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2018,TIME_PERIOD_END=2018,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 29 - National wealth Dynamiques du développement en Afrique (DDAf) Tableau 29 - Richesse nationale The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 29 shows estimates of total national wealth, taking into account produced capital, human capital, and natural resources. These estimates were calculated in the World Bank publication The Changing Wealth of Nations 2021. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 29 présente des estimations de la richesse nationale totale, en tenant compte du capital produit, du capital humain et des ressources naturelles. Ces estimations ont été calculées dans la publication de la Banque mondiale The Changing Wealth of Nations 2021. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2019,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 30 - Environmental causes of premature deaths Dynamiques du développement en Afrique (DDAf) Tableau 30 - Causes environnementales des décès prématurés The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 30 shows the economic costs of premature deaths caused by various environmental hazards, such as air pollution, unsafe water, and high and low temperatures. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 30 montre les coûts économiques des décès prématurés causés par divers risques environnementaux, tels que la pollution de l'air, l'eau insalubre et les températures élevées et basses. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 32 - Employment by occupation Dynamiques du développement en Afrique (DDAf) Tableau 32 - Emploi par profession The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 32 shows total employment by sex and within 14 different economic sectors. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 32 montre l'emploi total par sexe et dans 14 secteurs économiques différents. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 37 - Migration by education level Dynamiques du développement en Afrique (DDAf) Tableau 37 - Migrants selon leur niveau d’éducation The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 37 shows the number of immigrants and emigrants by origin and destination and by level of education. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 37 présente le nombre d'immigrants et d'émigrants par origine et destination et par niveau d'éducation. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 38 - Projected education profiles Dynamiques du développement en Afrique (DDAf) Tableau 38 - Profils éducatifs projetés The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 38 shows the projected population in 2040 with different education levels, according to the medium and accelerated scenario as calculated by the Wittgenstein Centre for Demography and Global Human Capital in 2018. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 38 montre la population projetée en 2040 avec différents niveaux d'éducation, selon le scénario moyen et accéléré calculé par le Centre Wittgenstein pour la démographie et le capital humain mondial en 2018. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020,REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 39 - Projected youth education profiles Dynamiques du développement en Afrique (DDAf) Tableau 39 - Profils projetés d’éducation des jeunes The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 38 shows the projected youth population in 2040 with different education levels, according to the medium and accelerated scenario as calculated by the Wittgenstein Centre for Demography and Global Human Capital in 2018. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 38 montre la population de jeunes projetée en 2040 avec différents niveaux d'éducation, selon le scénario moyen et accéléré calculé par le Centre Wittgenstein pour la démographie et le capital humain mondial en 2018. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 01 - Indicators of growth, employment and inequality Dynamiques du développement en Afrique (DDAf) Tableau 01 - Indicateurs de croissance, d'emploi et d'inégalités The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 1 includes the main development indicators related to growth, employment, and inequality, the main overarching theme of the Africa's Development Dynamic series since its inaugural edition in 2018. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante : https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 1 comprend les principaux indicateurs de développement liés à la croissance, à l'emploi et aux inégalités, le principal thème général de la série Dynamique de développement en l'Afrique depuis son édition inaugurale en 2018. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 06 - Basic education indicators Dynamiques du développement en Afrique (DDAf) Tableau 06 - Indicateurs d'éducation de base The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 6 shows literacy rates by sex, for both youth and adults. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques de développement en Afrique en anglais et en français. <br><br> Le tableau 6 montre les taux d'alphabétisation par sexe, tant pour les jeunes que pour les adultes. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 07 - Labour force characteristics Dynamiques du développement en Afrique (DDAf) Tableau 07 - Caractéristiques de la population active The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 7 shows labour force indicators, showing how the labour force is broken down by gender, by type of employment (employers, employees, own-account workers, and contributing family workers), and by the presence of informal and vulnerable employment. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en l'Afrique en anglais et en français. <br><br> Le tableau 7 présente des indicateurs de main-d’œuvre, montrant comment la population active est répartie par sexe, par type d’emploi (employeurs, salariés, travailleurs à leur compte et travailleurs familiaux) et par présence d’emplois informels et vulnérables. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 09 - Indicators of inequality and poverty Dynamiques du développement en Afrique (DDAf) Tableau 09 - Indicateurs des inégalités et de la pauvreté The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 9 shows various indicators of inequality and poverty, showing different poverty thresholds and showing working poverty rates by sex for both the young population and the entire population 15+. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 9 présente divers indicateurs d'inégalité et de pauvreté, montrant différents seuils de pauvreté et montrant les taux de pauvreté au travail par sexe pour la population jeune et l'ensemble de la population de 15 ans et plus. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 10 - Gender indicators Dynamiques du développement en Afrique (DDAf) Tableau 10 - Indicateurs de genre The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 10 shows indicators of gender inequality, including the Social Institutions and Gender Index (SIGI) developed by the OECD Development Centre. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 10 présente des indicateurs d’inégalité entre les sexes, notamment l’Indice des institutions sociales et du genre (SIGI) élaboré par le Centre de développement de l’OCDE. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 11 - Communications infrastructure Dynamiques du développement en Afrique (DDAf) Tableau 11 - Infrastructure de communications The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 11 shows indicators of connectivity to communications infrastructure, including telephone, broadband internet, and mobile connectivity. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 11 présente les indicateurs de connectivité aux infrastructures de communication, notamment le téléphone, l'internet haut débit et la connectivité mobile. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 12 - Digitalisation Dynamiques du développement en Afrique (DDAf) Tableau 12 - Numérisation The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 12 shows indicators of the digitalisation of the economy, including statistics on usage of websites and email by companies, and the total trade in digital services. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 12 présente des indicateurs de la numérisation de l'économie, y compris des statistiques sur l'utilisation des sites web et des courriels par les entreprises, ainsi que le commerce total des services numériques. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 14 - Subjective well-being Dynamiques du développement en Afrique (DDAf) Tableau 14 - Bien-être subjectif The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 14 shows a measure of subjective well-being broken down into its main components: negative and positive affect, freedom to make life choices, generosity, and social support. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 14 présente une mesure du bien-être subjectif répartie en ses principaux composants : aspects négatif et positif, liberté de faire des choix de vie, générosité, et soutien social. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 24 - Sustainable public investments and adjusted net savings Dynamiques du développement en Afrique (DDAf) Tableau 24 - Investissements publics durables et épargne nette ajustée The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 24 shows indicators of investments in sustainable growth, and adjusted national net savings. This includes indicators of health and education expenditures, as well as the components of adjusted national savings, including education expenditure, depletion of energy, mineral, and forest resources, and carbon and other pollution damage. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 24 présente les indicateurs d’investissements dans la croissance durable et l’épargne nationale nette ajustée. Cela comprend des indicateurs de dépenses de santé et d’éducation, ainsi que les composantes de l’épargne nationale ajustée, y compris les dépenses d’éducation, l’épuisement des ressources énergétiques, minérales et forestières, ainsi que les dommages causés par le carbone et autres pollutions. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 31 - Informal economies and informal employment Dynamiques du développement en Afrique (DDAf) Tableau 31 - Économies informelles et emploi informel The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 31 shows indicators of informal work, and informal activities within national economies. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 31 présente les indicateurs du travail informel et des activités informelles au sein des économies nationales. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 33 - Education mismatch Dynamiques du développement en Afrique (DDAf) Tableau 33 - Inadéquation de l’éducation The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 33 shows the percentage of workers with education levels above and below employment requirements by sex, and by whether workers are self-employed or employees. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 33 montre le pourcentage de travailleurs ayant des niveaux d'éducation supérieurs et inférieurs aux exigences d'emploi, par sexe et selon que les travailleurs sont des travailleurs indépendants ou des employés. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 34 - Mean years of education Dynamiques du développement en Afrique (DDAf) Tableau 34 - Nombre moyen d’années de scolarisation The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 34 shows education attainment indicators by sex, including mean years of education for math and reading, and secondary school completion rates. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 34 présente les indicateurs de réussite scolaire par sexe, y compris la durée moyenne d'études en mathématiques et en lecture, ainsi que les taux d'achèvement des études secondaires. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 35 - Employment by occupation Dynamiques du développement en Afrique (DDAf) Tableau 35 - Emploi par secteur The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 35 shows employment by type of occupation, and by assessed skill level of the occupations. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 35 présente l'emploi par type de profession et par niveau de compétence évalué pour les professions. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE TIME_PERIOD,UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N),TABLE_ID NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) Table 36 - Employment by business activity and skill level Dynamiques du développement en Afrique (DDAf) Tableau 36 - Emploi par activité commerciale et niveau de compétence The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. <br><br> Table 36 includes the number of workers by country by business activity and skill level. The table reports the most recent year measured between 2014 and 2023 inclusive. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. <br><br> Le tableau 36 comprend le nombre de travailleurs par pays, par activité commerciale et par niveau de compétence. Le tableau présente l’année la plus récente mesurée entre 2014 et 2023 inclus. NonProductionDataflow true REF_AREA LAYOUT_ROW TABLE_ID,MEASURE,SEX,DEG_URB,UNIT_MEASURE,UNIT_MULT LAYOUT_COLUMN REF_PERIOD,RESOURCERICH,POINT_INFO LAYOUT_NOTE UNIT_MULT=0,SEX=_Z,DEG_URB=_Z,RESOURCERICH=(Z+N) NOT_DISPLAYED REF_AREA=AGO+BWA+SWZ+LSO+MWI+MOZ+NAM+ZAF+ZMB+ZWE+F4AU+BDI+CMR+CAF+TCD+COG+COD+GNQ+GAB+STP+F1AU+COM+DJI+ERI+ETH+KEN+MDG+MUS+RWA+SYC+SOM+SSD+SDN+TZA+UGA+F2AU+DZA+EGY+LBY+MRT+MAR+TUN+F3AU+BEN+BFA+CPV+CIV+GMB+GHA+GIN+GNB+LBR+MLI+NER+NGA+SEN+SLE+TGO+F5AU+F+WXF+A9+SXHICS+W+COMESA+CENSAD+EAC+ECCAS+ECOWAS+IGAD+SADC+UMA+PALOP+ASEAN+MERCOSUR+EU27+OECD+RRCF+RRCFWXF+NRRCF+NRRCFWXF+OLICWBF+OLICWBWXF+LMICWBF+LMICWBWXF+UMICWBF+UMICWBWXF+HICS+LDCF+LDCWXF+SIDSF+SIDSWXF+LLDCF+LLDCWXF+FSF+FSWXF,TABLE_ID=TAB01+TAB05+TAB06+TAB07 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS REF_AREA:OECD.DEV.EMEA:HCL_AREA(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SEX,DEG_URB COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Africa's Development Dynamics (AfDD) - all tables, all indicators Dynamiques du développement en Afrique (DDAf) - tous les tableaux, tous les indicateurs The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These statistics are collected from a variety of reputable international sources and are reported at the national level or for aggregations of relevant country groupings on an annual basis. The Annex includes 39 tables of indicators presenting different development themes. <br><br> This table shows the most recent figures collected between 2014 and 2023 for all indicators included in all tables in the Statistical Annex, which users can select for comparison using the table filters. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. L'Annexe statistique du rapport annuel sur les Dynamiques du développement en Afrique (DDAf) est une collection d'indicateurs de développement qui ont été rassemblés et analysés lors de la conduite des recherches qui ont servi à la rédaction du rapport. Ces statistiques sont collectées auprès de diverses sources internationales réputées et sont rapportées au niveau national ou pour des agrégations de groupes de pays pertinents sur une base annuelle. L'Annexe comprend 39 tableaux d'indicateurs présentant différents thèmes de développement. <br><br> Ce tableau présente les chiffres les plus récents collectés entre 2014 et 2023 pour tous les indicateurs inclus dans tous les tableaux de l'Annexe statistique, que les utilisateurs peuvent sélectionner pour comparaison à l'aide des filtres du tableau. Ces données sont également disponibles en ligne pour consultation ou téléchargement gratuit à l'adresse suivante: https://oe.cd/AFDD-2024-fr, un site bilingue qui renvoie à la version électronique du livre Dynamiques du développement en Afrique en anglais et en français. NonProductionDataflow true REF_AREA,DEG_URB,AGE LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED DEG_URB=_T,SEX=_T,AGE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée OECD Masculinities Index database Base de données de l'OCDE sur l'indice des masculinités <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>The OECD Masculinities Index Database for C&ocirc;te d&rsquo;Ivoire provides nationally representative data on masculine norms and their prevalence across the country. Developed by the OECD Development Centre and rooted in the OECD&rsquo;s <a href="https://www.oecd.org/en/about/programmes/social-institutions-and-gender-index-sigi.html">Social Institutions and Gender Index (SIGI)</a>, the database offers evidence on how masculine norms shape attitudes, behaviors and gender equality outcomes.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>The database is based on the methodological framework developed in the OECD Development Centre&rsquo;s publication <a href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2021/03/man-enough-measuring-masculine-norms-to-promote-women-s-empowerment_39aee6aa/6ffd1936-en.pdf">Man Enough? Measuring Masculine Norms to Promote Women&rsquo;s Empowerment</a> (2021)<strong>,&nbsp;</strong>which identifies ten norms of restrictive masculinities.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'>The data were collected through a nationally representative household survey conducted by C&ocirc;te d&rsquo;Ivoire&rsquo;s National Statistics Office (ANStat).</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>La base de donn&eacute;es de l&rsquo;Indice des masculinit&eacute;s de l&rsquo;OCDE pour la C&ocirc;te d&rsquo;Ivoire fournit des donn&eacute;es repr&eacute;sentatives au niveau national sur les normes de la masculinit&eacute; et leur pr&eacute;valence dans l&rsquo;ensemble du pays. &Eacute;labor&eacute;e par le Centre de d&eacute;veloppement de l&rsquo;OCDE et fond&eacute;e sur l&rsquo;<a href="https://www.oecd.org/fr/about/programmes/social-institutions-and-gender-index-sigi.html">Indice Institutions Sociales et &Eacute;galit&eacute; des Genres (SIGI)</a> de l&rsquo;OCDE, cette base de donn&eacute;es met en &eacute;vidence la mani&egrave;re dont les normes de la masculinit&eacute; influencent les attitudes, les comportements et les avanc&eacute;es en mati&egrave;re d&rsquo;&eacute;galit&eacute; entre les hommes et les femmes.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>La base de donn&eacute;es repose sur le cadre m&eacute;thodologique &eacute;labor&eacute; dans la publication du Centre de d&eacute;veloppement de l&rsquo;OCDE <a href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2021/03/man-enough-measuring-masculine-norms-to-promote-women-s-empowerment_39aee6aa/6ffd1936-en.pdf">Man Enough? Measuring Masculine Norms to Promote Women&rsquo;s Empowerment</a> (2021), qui identifie dix normes restrictives de la masculinit&eacute;.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Les donn&eacute;es ont &eacute;t&eacute; collect&eacute;es &agrave; travers une enqu&ecirc;te aupr&egrave;s des m&eacute;nages, repr&eacute;sentative au niveau national, men&eacute;e par l&rsquo;Agence Nationale de la Statistique de C&ocirc;te d&rsquo;Ivoire (ANStat).</p> NonProductionDataflow true RECIPIENT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FLOW_NATURE,SECTOR LAYOUT_ROW_SECTION OBS_STATUS=A,DD_DIM,MD_ID,CHANNEL,MODALITY,ALLOCABLE,MARKER,SCORE,DONOR_COUNTRY NOT_DISPLAYED DD_DIM=_T,LASTNPERIODS=5,DONOR=9_T,SECTOR=450 DEFAULT RECIPIENT:OECD.DEV.INDP:HCL_RECIPIENT(1.0).H HIER_CONTEXT DD_DIM DRILLDOWN 1.2 SEARCH_WEIGHT Total Private Philanthropy for Development Total philanthropie privée pour le développement <p style="text-align: justify;">This dataset provides project-level information for over 500 of the largest private philanthropic foundations working for development at the global level. It combines (i) primary data on more than 40 of the largest cross-border philanthropic foundations from OECD countries reported annually to the OECD Development Co-operation Directorate (Creditor Reporting System &ndash; CRS) (ii) primary data reported directly to the OECD Centre on Philanthropy and (iii) secondary data collected from publicly available sources. All data are compiled using statistical standards and definitions aligned with those applied to ODA.</p> <p style="text-align: justify;">Data cover both cross-border and domestic philanthropic flows. Domestic philanthropic flows refer to funding provided by organisations located in ODA-eligible countries to recipients within the same ODA-eligible country.</p> <p style="text-align: justify;">The dataset presents disbursements only and is expressed in constant 2023 US dollars (USD).</p> <p style="text-align: justify;">The dataset is currently collected and published every three years; it covers data for years 2020-2023. For the subset of some of the largest cross-border foundations based in OECD countries, data are collected and published annually through the CRS, covering the last decade up to 2024; see the following link for more details: <a href="https://data-explorer.oecd.org/vis?lc=en&amp;tm=philanthropy&amp;pg=0&amp;snb=1&amp;df%5bds%5d=dsDisseminateFinalDMZ&amp;df%5bid%5d=DSD_PPFD%40DF_PPFD&amp;df%5bag%5d=OECD.DCD.FSD&amp;df%5bvs%5d=1.6&amp;dq=9PRIV0..1000._T.D.Q._T..&amp;lom=LASTNPERIODS&amp;lo=5&amp;to%5bTIME_PERIOD%5d=false">OECD Data Explorer &bull; Private Philanthropy for Development</a></p> <p style="text-align: justify;">For more information on these flows, please see the OECD's main page on <a href="https://www.oecd.org/en/topics/philanthropy.html">Philanthropy | OECD</a>, <a href="https://www.oecd.org/en/topics/official-development-assistance-oda.html">official development assistance</a>&nbsp;and&nbsp;<a href="https://www.oecd.org/en/topics/finance-for-sustainable-development.html">finance for sustainable development</a>, including&nbsp;<a href="https://www.oecd.org/en/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">frequently asked questions (FAQs)</a>&nbsp;on ODA. See also the&nbsp;<a href="https://one.oecd.org/document/DCD/DAC(2024)40/FINAL/en/pdf">converged statistical reporting directives</a>&nbsp;governing these data, alongside&nbsp;<a href="https://www.oecd.org/content/oecd/en/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">other guidance on using our data</a>.</p> <p style="text-align: justify;">Cet ensemble de donn&eacute;es fournit des informations au niveau des projets concernant plus de 500 des plus grandes fondations philanthropiques priv&eacute;es qui soutiennent le d&eacute;veloppement &agrave; l'&eacute;chelle mondiale. Il combine (i) des donn&eacute;es primaires sur plus de 40 des plus grandes fondations philanthropiques transfrontali&egrave;res bas&eacute;es dans les pays&nbsp;de l&rsquo;OCDE, communiqu&eacute;es chaque ann&eacute;e &agrave; la Direction de la coop&eacute;ration pour le d&eacute;veloppement de l&rsquo;OCDE (Syst&egrave;me de d&eacute;claration des cr&eacute;anciers &ndash; CRS) ; (ii) des donn&eacute;es primaires communiqu&eacute;es directement au Centre de l&rsquo;OCDE sur la philanthropie ; et (iii) des donn&eacute;es secondaires issues de sources accessibles au public. Toutes les donn&eacute;es sont compil&eacute;es selon des normes et d&eacute;finitions statistiques align&eacute;es sur celles appliqu&eacute;es &agrave; l&rsquo;APD.</p> <p style="text-align: justify;">Le dataset&nbsp;inclut &agrave; la fois les flux philanthropiques transfrontaliers et nationaux. Les flux philanthropiques nationaux d&eacute;signent les financements fournis par des organisations situ&eacute;es dans des pays &eacute;ligibles &agrave; l&rsquo;APD &agrave; des b&eacute;n&eacute;ficiaires situ&eacute;s dans le m&ecirc;me pays &eacute;ligible &agrave; l&rsquo;APD.</p> <p style="text-align: justify;">L&rsquo;ensemble de donn&eacute;es ne pr&eacute;sent que les d&eacute;caissements et est exprim&eacute; en dollars am&eacute;ricains (USD) constants de 2023.</p> <p style="text-align: justify;">L'ensemble de donn&eacute;es est actuellement collect&eacute; et publi&eacute; tous les trois ans ; il couvre les donn&eacute;es des ann&eacute;es 2020 &agrave; 2023. Pour le sous-ensemble de certaines des plus grandes fondations transfrontali&egrave;res bas&eacute;es dans les pays de l'OCDE, les donn&eacute;es sont collect&eacute;es et publi&eacute;es annuellement par le biais du CRS, couvrant la derni&egrave;re d&eacute;cennie jusqu'en 2024 ; pour plus de d&eacute;tails, consultez le lien suivant : <a href="https://data-explorer.oecd.org/vis?lc=fr&amp;pg=0&amp;snb=1&amp;df%5bds%5d=dsDisseminateFinalDMZ&amp;df%5bid%5d=DSD_PPFD%40DF_PPFD&amp;df%5bag%5d=OECD.DCD.FSD&amp;df%5bvs%5d=1.6&amp;dq=9PRIV0..1000._T.D.Q._T..&amp;lom=LASTNPERIODS&amp;lo=5&amp;to%5bTIME_PERIOD%5d=false">Explorateur des donn&eacute;es de l&lsquo;OCDE &bull; Philanthropie priv&eacute;e pour le d&eacute;veloppement</a></p> <p style="text-align: justify;">Pour plus d'informations sur ces flux, veuillez consulter la page principale de l'OCDE sur <a href="https://www.oecd.org/fr/themes/philanthropie.html">Philanthropie</a>,&nbsp;<a href="https://www.oecd.org/fr/themes/aide-publique-au-developpement-apd.html">l'aide publique au d&eacute;veloppement</a>&nbsp;et le&nbsp;<a href="https://www.oecd.org/fr/cad/financementpourledeveloppementdurable/statistiques-financement-developpement/">financement du d&eacute;veloppement durable</a>, y compris la&nbsp;<a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/07/frequently-asked-questions-on-official-development-assistance-oda.html">foire aux questions (FAQ)</a>&nbsp;sur l'APD. Voir &eacute;galement les&nbsp;<a href="https://one.oecd.org/document/DCD/DAC/STAT(2023)9/FINAL/en/pdf">directives de notification statistique converg&eacute;es</a>&nbsp;(en anglais) r&eacute;gissant ces donn&eacute;es, ainsi que d'autres&nbsp;<a href="https://www.oecd.org/fr/data/insights/data-explainers/2024/10/resources-for-reporting-development-finance-statistics.html">conseils sur l'utilisation de nos donn&eacute;es</a>.</p> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Households with workers living with less than international poverty line by household formality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers living with less than the national poverty line by worker formality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,SEX,WORKER_STATUS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers living with less than the international poverty line by worker formality, gender and status in employment The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers covered by health insurance by worker formality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Households with at least one member benefiting from a pension by household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Health expenditure as share of household expenditure by household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Hourly earnings ratio of formal to informal employees The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF,DEPENDENT LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Dependents by household informality and age group The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,SEX,HOURS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers by formality status gender and hours worked The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW AGE,SEX LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and age group The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,EDUCATION LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and level of education The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,DEG_URB LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and location The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,WORKER_STATUS LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and status in employment The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,SEX LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers contributing to pension by worker formality and gender The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF,SEX LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Population living with less than the international poverty line by household formality and gender The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW SEX,HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Informal workers by gender and household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW URBANISATION,HOUSEHOLD_INF LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Population by urbanisation level and household informality The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW HOUSEHOLD_INF,INCOME LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Population by households informality and welfare quintile The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW WORKER_INF,FIRM_SIZE LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Workers by firm size and formality status The OECD Key Indicators of Informality based on Individuals and their Households (KIIbIH) database provides comparable indicators and harmonised data on informal employment, well-being of informal workers and their dependents. <p />It currently covers 42 countries across North and sub-Saharan Africa, Eastern Europe and Central Asia, Asia and the Pacific, Latin America and the Caribbean. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,UNIT_MEASURE,SEX LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T+F+M,LASTNOBSERVATIONS=1 DEFAULT REF_AREA:OECD.DEV.LAC:HCL_AREA_KIIBIH(1.0).H,SEX:OECD.DEV.LAC:HCL_SEX_KIIBIH(1.0).H,DEG_URB:OECD.DEV.LAC:HCL_DEG_URB_KIIBIH(1.0).H,ATTAINMENT_LEV:OECD.DEV.LAC:HCL_ATTAINMENT_KIIBIH(1.0).H,HOURS:OECD.DEV.LAC:HCL_HOURS_KIIBIH(1.0).H,OCCUPATION:OECD.DEV.LAC:HCL_OCCUPATION_KIIBIH(1.0).H HIER_CONTEXT Informal economy Economie informelle This dataset covers the informal economy and presents data disaggregated by key socio-demographic characteristics of the labour force. It includes indicators on informal employment, the informal sector and the informal economy as a whole, reporting both incidence rates and their composition. <p /> The OECD <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) database provides harmonised and comparable indicators on the informal economy for more than 80 developing and developed countries. Ce jeu de données couvre l’économie informelle et présente des données ventilées selon des caractéristiques sociodémographiques clés de la main-d’œuvre. Il inclut des indicateurs sur l’emploi informel, le secteur informel et l’économie informelle dans son ensemble, en fournissant à la fois des taux de prévalence et leur composition. <p /> La base de données <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) de l’OCDE fournit des indicateurs harmonisés et comparables sur l’économie informelle pour plus de 80 pays, développés et en développement. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,UNIT_MEASURE,AGE,INF_HH LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=POP+LF,INF_HH=_T+INFORMAL+FORMAL+MIXED+NO_WORKER,AGE=_T+Y_GE15,SEX=_T,LASTNOBSERVATIONS=1 DEFAULT REF_AREA:OECD.DEV.LAC:HCL_AREA_KIIBIH(1.0).H,SEX:OECD.DEV.LAC:HCL_SEX_KIIBIH(1.0).H,DEG_URB:OECD.DEV.LAC:HCL_DEG_URB_KIIBIH(1.0).H HIER_CONTEXT Household informality Informalité des ménages This dataset focuses on the household dimension of informality. It presents the distribution of the population and workers across different household types (fully informal, mixed, fully formal, and households with no working member), with results disaggregated by key socio-demographic characteristics. <p /> The OECD <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) database provides harmonised and comparable indicators on the informal economy for more than 80 developing and developed countries. Ce jeu de données porte sur la dimension ménage de l’informalité. Il présente la répartition de la population et des travailleurs selon différents types de ménages (entièrement informels, mixtes, entièrement formels et ménages sans aucun membre en emploi), avec des résultats ventilés selon des caractéristiques sociodémographiques clés. <p /> La base de données <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) de l’OCDE fournit des indicateurs harmonisés et comparables sur l’économie informelle pour plus de 80 pays, développés et en développement. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,UNIT_MEASURE,INF_EMP LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED INF_EMP=_T+INFORMAL+FORMAL,SEX=_T,N,LASTNOBSERVATIONS=1 DEFAULT REF_AREA:OECD.DEV.LAC:HCL_AREA_KIIBIH(1.0).H,SEX:OECD.DEV.LAC:HCL_SEX_KIIBIH(1.0).H,DEG_URB:OECD.DEV.LAC:HCL_DEG_URB_KIIBIH(1.0).H,ATTAINMENT_LEV:OECD.DEV.LAC:HCL_ATTAINMENT_KIIBIH(1.0).H HIER_CONTEXT Workers' profiles Profils des travailleurs This dataset describes the characteristics of informal and formal workers, with results disaggregated by key socio-demographic characteristics of the labour force. <p /> The OECD <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) database provides harmonised and comparable indicators on the informal economy for more than 80 developing and developed countries. Ce jeu de données décrit les caractéristiques des travailleurs informels et formels, avec des résultats ventilés selon des caractéristiques sociodémographiques clés de la main-d’œuvre. <p /> La base de données <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) de l’OCDE fournit des indicateurs harmonisés et comparables sur l’économie informelle pour plus de 80 pays, développés et en développement. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,UNIT_MEASURE,AGE,INF_EMP LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=WEL_POV_NAT+WEL_POV_INT_300+WEL_POV_INT_420,INF_EMP=_T+INFORMAL+FORMAL+_Z,SEX=_T,LASTNOBSERVATIONS=1 DEFAULT REF_AREA:OECD.DEV.LAC:HCL_AREA_KIIBIH(1.0).H,SEX:OECD.DEV.LAC:HCL_SEX_KIIBIH(1.0).H,DEG_URB:OECD.DEV.LAC:HCL_DEG_URB_KIIBIH(1.0).H,ATTAINMENT_LEV:OECD.DEV.LAC:HCL_ATTAINMENT_KIIBIH(1.0).H,OCCUPATION:OECD.DEV.LAC:HCL_OCCUPATION_KIIBIH(1.0).H HIER_CONTEXT Household and working poverty Pauvreté des ménages et des travailleurs This dataset provides information on the poverty status of informal and formal workers, as well as for the overall population, with results disaggregated by key socio-demographic characteristics. <p /> The OECD <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) database provides harmonised and comparable indicators on the informal economy for more than 80 developing and developed countries. Ce jeu de données fournit des informations sur la situation de pauvreté des travailleurs informels et formels, ainsi que de l’ensemble de la population, avec des résultats ventilés selon des caractéristiques sociodémographiques clés. <p /> La base de données <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) de l’OCDE fournit des indicateurs harmonisés et comparables sur l’économie informelle pour plus de 80 pays, développés et en développement. NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,UNIT_MEASURE,AGE,INF_EMP LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,LASTNOBSERVATIONS=1 DEFAULT REF_AREA:OECD.DEV.LAC:HCL_AREA_KIIBIH(1.0).H,SEX:OECD.DEV.LAC:HCL_SEX_KIIBIH(1.0).H,DEG_URB:OECD.DEV.LAC:HCL_DEG_URB_KIIBIH(1.0).H,ATTAINMENT_LEV:OECD.DEV.LAC:HCL_ATTAINMENT_KIIBIH(1.0).H HIER_CONTEXT Access to social protection Accès à la protection sociale This dataset provides information on social protection coverage of informal and formal workers, as well as for the overall population, with results disaggregated by key socio-demographic characteristics. It covers different branches and concepts of social protection (pensions, health insurance, social assistance, social insurance, etc.). <p /> The OECD <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) database provides harmonised and comparable indicators on the informal economy for more than 80 developing and developed countries. Ce jeu de données fournit des informations sur la couverture de la protection sociale des travailleurs informels et formels, ainsi que de l’ensemble de la population, avec des résultats ventilés selon des caractéristiques sociodémographiques clés. Il couvre différentes branches et composantes de la protection sociale (pensions, assurance maladie, assistance sociale, assurances sociales, etc.). <p /> La base de données <i >Key Indicators of Informality based on Individuals and their Households<i /> (KIIbIH) de l’OCDE fournit des indicateurs harmonisés et comparables sur l’économie informelle pour plus de 80 pays, développés et en développement. NonProductionDataflow true T2SEV4EYSJTJMT3HVC8I NonProductionDataflow true TIG8YUX3T8CSYX7HSAMZ TIG8YUX3T8CSYX7HSAMZ NonProductionDataflow true REF_AREA LAYOUT_ROW SIGI_FRAMEWORK,VARIABLE_CATEGORY,MEASURE,AGE,SEX,UNIT_MEASURE LAYOUT_COLUMN POP_BASE LAYOUT_FLAG CALC_METHOD,SDG_SERIES LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0,AGE=_X,SEX=_X NOT_DISPLAYED REF_AREA:OECD.DEV.NPG:HCL_AREA(1.0).H,UNIT_MEASURE:OECD.DEV.NPG:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,AGE,SEX,UNIT_MEASURE,POP_BASE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Measure combinée 11000 MAX_TABLE_DATA Gender, Institutions and Development Database (GID-DB) 2023 Base de données Égalité des genres, institutions et développement (GID-DB) 2023 The Gender Institutions and Development Database (GID-DB) provides policy makers, researchers and the public in general with key data on gender-based discrimination in social institutions. Data help analyse women's empowerment and understand gender gaps in key areas of development. <br/><br/> The GID-DB is produced on a regular basis, alongside the Social Institutions and Gender Index. Data from previous editions can be accessed for the following years: <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2019&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2019</a>, <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_GIDDB2014&df%5bag%5d=OECD" target="_blank">2014</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2012&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2012<a/> and <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GID2&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2009<a/>. The GID-DB 2023 covers 179 countries and territories and contains comprehensive information on legal, cultural and traditional practices that discriminate against women and girls. La base de données Égalité des genres, institutions et développement (GID-DB) fournit aux décideurs politiques, aux chercheurs et au public des données et statistiques clés portant sur les discriminations de genre dans les institutions sociales. Les données permettent d’analyser les défis liés à l'autonomisation des femmes et l’égalité des genres, et de comprendre les écarts entre les femmes et les hommes dans les domaines clés du développement. <br/><br/> La GID-DB est produite régulièrement, parallèlement à Institutions sociales et égalité des genres (SIGI). Les données des éditions précédentes sont accessibles pour les années suivantes : <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2019&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2019</a>, <a href= "https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_GIDDB2014&df%5bag%5d=OECD" target="_blank">2014</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GIDDB2012&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2012<a/> et <a href="https://data-explorer.oecd.org/vis?tenant=archive&df[ds]=DisseminateArchiveDMZ&df[id]=DF_GID2&df[ag]=OECD&dq=...&lom=LASTNPERIODS&lo=5&to[TIME_PERIOD]=false" target="_blank">2009<a/>. La GID-DB 2023 couvre 179 pays et territoires et contient des informations détaillées sur les pratiques légales, culturelles et traditionnelles discriminatoires à l'égard des femmes et des filles. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA:OECD.DEV.NPG:HCL_AREA(1.0).H HIER_CONTEXT Social Institutions and Gender Index (SIGI) 2023 Indice Institutions sociales et égalité des genres (SIGI) 2023 The Social Institutions and Gender Index (SIGI) is a composite index measuring discriminatory social institutions. The SIGI is produced on a regular basis and data from previous editions can be accessed for the following years: <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2019&df%5bag%5d=OECD" target="_blank">2019</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2014&df%5bag%5d=OECD" target="_blank">2014</a>, 2012 and 2009. <br/><br/> The SIGI 2023 builds on 25 variables measuring discrimination in social institutions that can be accessed in the GID-DB 2023, and which are grouped into four dimensions: discrimination in the family, restricted physical integrity, restricted access to productive and financial resources, and restricted civil liberties. The SIGI 2023 seeks to provide an in-depth and global look at how laws, attitudes and practices create gaps between women and men in terms of opportunities and outcomes. <br/><br/>The SIGI and its dimensions range from 0 to 100, with 0 indicating no discrimination and 100 indicating absolute discrimination against women. <br/><br/> The SIGI 2023 covers 179 countries, but due to data gaps in one or more of the 25 variables used to compute the index, SIGI scores could only be calculated for 140 countries and territories. <br/><br/> Additionally, the SIGI framework can be used to conduct country studies in order to assess gender-based discrimination at the sub-national level. Recent SIGI country studies include <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_CIV_SIGI&df%5bag%5d=OECD" target="_blank">Côte d’Ivoire</a> and <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_TZ_SIGI&df%5bag%5d=OECD" target="_blank">Tanzania</a>. L'indice Institutions sociales et égalité des genres (SIGI selon son acronyme anglais - Social Institutions and Gender Index) est un indice composite qui mesure les discriminations de genre au sein des institutions sociales. Le SIGI est publié régulièrement et les données des éditions précédentes sont accessibles pour les années suivantes : <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2019&df%5bag%5d=OECD" target="_blank">2019</a>, <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_SIGI2014&df%5bag%5d=OECD" target="_blank">2014</a>, 2012 et 2009. <br/><br/> Le SIGI 2023 est construit à partir de 25 variables mesurant le niveau de discrimination au sein des institutions sociales et qui peuvent être consultées dans le GID-DB 2023. Ces variables sous-jacentes du SIGI sont regroupées en quatre dimensions : discriminations au sein de la famille, atteintes à l'intégrité physique, accès restreint aux ressources productives et financières, et atteintes aux libertés civiles. Le SIGI 2023 cherche à offrir un examen approfondi de la façon dont les lois, les attitudes et les pratiques créent des écarts entre les femmes et les hommes en termes d’opportunités et d'autonomisation. <br/><br/>Les valeurs du SIGI et de ses dimensions sont comprises entre 0 et 100, 0 correspondant à l’absence de discrimination et 100 à une discrimination absolue à l’égard des femmes. <br/><br/> Le SIGI 2023 couvre 179 pays, mais en raison de lacunes dans les données relatives à une ou plusieurs des 25 variables utilisées pour calculer l'indice, les scores du SIGI n'ont pu être calculés que pour 140 pays et territoires. <br/><br/> En outre, le cadre du SIGI peut être utilisé pour mener des études pays afin d'évaluer la discrimination fondée sur le genre au niveau infranational. Parmi les études pays SIGI récentes, on peut citer <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_CIV_SIGI&df%5bag%5d=OECD" target="_blank">la Côte d’Ivoire</a> et <a href="https://data-explorer.oecd.org/vis?tenant=archive&df%5bds%5d=DisseminateArchiveDMZ&df%5bid%5d=DF_TZ_SIGI&df%5bag%5d=OECD" target="_blank">la Tanzanie</a>. NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=ALB,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE,AGE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans - Albania Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux - Albanie <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=BIH+BA01+BA02+BA03,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans - Bosnia and Herzegovina Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux - Bosnie-Herzégovine <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=MKD+MK008,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans - North Macedonia Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux - Macédoine du Nord <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=MNE,ME000,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans - Montenegro Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux - Monténégro <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=SRB+RS110+RS123,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans - Serbia Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux - Serbie <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=ALB+BIH+BA01+BA02+BA03+XKV+XK001+MNE+ME000+MKD+SRB+RS110+RS123,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true INSTRUMENT,ENERGY_CAT,ENERGY_TYPE,IND_SECTOR,BENEFICIARY,SECTOR,STAGE,VALUE_TYPE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MECHANISM LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=XKV+XK001+XK007,SECTOR=S11001+S1311+S1313,ENERGY_TYPE=PET_PROD+NATGAS+COAL+ELECTRICITY+BIOMASS+HEAT+SV,TIME_PERIOD_START=2018 DEFAULT EXT_RESOURCE database documentation|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf documentation de base de données|https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/05/energy-prices-and-subsidies-in-the-western-balkans_41eed42b/Western_Balkans_inventory_database%20documentation_FINAL.pdf Inventory of Energy Subsidies and Support Measures in the Western Balkans - Kosovo Inventaire des subventions énergétiques et des mesures de soutien dans les Balkans occidentaux - Kosovo <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory of Energy Subsidies and Support Measures in the Western Balkans presents information on subsidies and other support measures to the production, processing, marketing and consumption of energy products in the Western Balkans. It builds on and expands the methodology and structure of the OECD Inventory of Support Measures for Fossil Fuels and expands its coverage to the Western Balkans. The Inventory covers the six economies of the Western Balkans (Albania, Bosnia and Herzegovina, Kosovo^*, Montenegro, North Macedonia, and Serbia). This inventory follows the methodological approach of the OECD FFS inventory but expands upon it by broadening the scope to include induced and financial support for both fossil fuels and renewable sources of energy.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>This Inventory was developed as part of the OECD project on <a href="https://doi.org/10.1787/082ea26a-en">Energy Prices and Subsidies in the Western Balkans: Reforms for a Fair and Green Future</a>. The Inventory formed the report&apos;s primary analytical basis, and the report presents further details on the construction of the inventory data.&nbsp;</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'>The Inventory identifies individual support schemes and provides detailed information and corresponding values for each, similarly to the OECD FFS inventory.<strong>&nbsp;</strong>The number of schemes identified ranges between 18 in Montenegro and 40 in Bosnia and Herzegovina. These schemes support both fossil fuel and renewable energy production and consumption. The Inventory covers subsidies and support measures identified over the period 2018-2023.</p> <p style='margin-top:6.0pt;margin-right:0cm;margin-bottom:6.0pt;margin-left:0cm;text-align:justify;line-height:13.0pt;font-size:13px;font-family:"Arial",sans-serif;color:black;'><em>*This designation is without prejudice to positions on status, and is in line with United Nations Security Council Resolution 1244/99 and the Advisory Opinion of the International Court of Justice on Kosovo&rsquo;s declaration of independence.</em>&nbsp;</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=TARIFFS+FDI_INDEX+TFI+BARRIER_TRADE+BARRIER_SECT+SERVBARRIER+BARRIER_DOM+COMMANDSIMPLIF_BURDEN+ADBURDEN+ADREG_BURDEN+BARRIER_ENTRY+STAKEHOLDER_ENGAG+IMPACT_ASSESSMENT+REGULATIONS+PUBLIC_PROCUREMENT+INV_BUS_SER+INV_BUS_NET+PRICE+INVOL_BUSINESS+GOVERNANCE+DISTORT_PUBLIC+STATE_INVOL+PMR,TIME_PERIOD_START=2018,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée Product market regulation Réglementation du marché des produits Competition and pro-competition regulations are vital to foster innovation, business dynamism, productivity, investment, and employment. For 25 years, the OECD Product Market Regulation (PMR) indicators have been the leading metric of pro-competitive regulatory settings. These indicators assess the alignment of a country’s regulatory framework with international best practices, measuring both economy-wide and sector-specific regulatory barriers to entry and competition. La concurrence et les réglementations favorables à la concurrence sont essentielles pour favoriser l'innovation, le dynamisme des entreprises, la productivité, les investissements et l'emploi. Depuis 25 ans, les indicateurs de l'OCDE sur la réglementation des marché de produits (PMR) constituent la mesure principale des cadres réglementaires favorables à la concurrence. Ces indicateurs évaluent la conformité du cadre réglementaire d'un pays par rapport aux meilleures pratiques internationales, en mesurant les obstacles réglementaires à l'entrée et à la concurrence, à la fois pour l'ensemble de l'économie et pour chaque secteur. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2018,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE;COMBINED_MEASURE:MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée Product market regulation OECD-WBG (World Bank Group) Réglementation du marché des produits OECD-WBG Competition and pro-competition regulations are vital to foster innovation, business dynamism, productivity, investment, and employment. For 25 years, the OECD Product Market Regulation (PMR) indicators have been the leading metric of pro-competitive regulatory settings. These indicators assess the alignment of a country’s regulatory framework with international best practices, measuring both economy-wide and sector-specific regulatory barriers to entry and competition. The countries covered in the OECD-WBG PMR database have been done in collaboration with the World Bank Group La concurrence et les réglementations favorables à la concurrence sont essentielles pour favoriser l'innovation, le dynamisme des entreprises, la productivité, les investissements et l'emploi. Depuis 25 ans, les indicateurs de l'OCDE sur la réglementation des marchés de produits (PMR) constituent la mesure principale des cadres réglementaires favorables à la concurrence. Ces indicateurs évaluent la conformité du cadre réglementaire d'un pays par rapport aux meilleures pratiques internationales, en mesurant les obstacles réglementaires à l'entrée et à la concurrence, à la fois pour l'ensemble de l'économie et pour chaque secteur. Les pays figurant dans la base de données PMR de l'OCDE-WBG ont été évalués en collaboration avec le Groupe de la Banque mondiale. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE: unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Climate Policy Uncertainty Incertitude sur les politiques climatique The CPU database proposes a new indicator of Climate Policy Uncertainty (CPU) based on newspaper coverage frequency. The indicator spikes near major political events and during major discussions around potentially significant climate policy changes. Using a global firm-level dataset, the empirical analysis shows that Climate Policy Uncertainty is associated with economically and statistically significant decreases in investment, particularly in pollution-intensive sectors that are most exposed to climate policies, and among capital intensive companies.</br>More information : Berestycki, C., et al. (2022), "Measuring and assessing the effects of climate policy uncertainty", OECD Economics Department Working Papers, No. 1724, OECD Publishing, Paris. .<br/> <a href= “https://doi.org/10.1787/34483d83-en”> https://doi.org/10.1787/34483d83-en </a>.<br/> Contact : eco.contact@oecd.org La base de données CPU contient un nouvel indicateur d'incertitude sur les politiques climatiques (CPU) basé sur la couverture de ce thème dans la presse. L'indicateur couvre actuellement 12 pays membres de l'OCDE pour la période 1990-2018. Les données fournies sont annuelles et comprennent des sous-indices qui capture la direction de le CPU associée à un renforcement (CPU_POSITIVE) ou un affaiblissement (CPU_NEGATIVE) des politiques climatiques pour un sous-ensemble de pays. Plus d’information : Berestycki, C., et al. (2022), "Measuring and assessing the effects of climate policy uncertainty", OECD Economics Department Working Papers, No. 1724, OECD Publishing, Paris.<br/> <a href= “https://doi.org/10.1787/34483d83-en”> https://doi.org/10.1787/34483d83-en </a>.<br/> Contact : eco.contact@oecd.org NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook 119 Perspectives Economiques 119 <div> The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br /> OECD (2026), OECD Economic Outlook No 119 (Edition 2026/1) </div> <ul> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO119/EO119_Database_documentation.pdf">EO119 Database documentation</a> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO119/Last_Historical_observation_EO_119.xlsx">EO119 Last historical points</a> </ul> <div style='visibility:hidden'>gdp inflation cpi population unemployment real gdp gdp per capita employment</div> <div> OECD Economic Outlook website: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a><br /> <b><i>Contact</i></b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a><br /> <b><i>Keywords</i></b>: Outlook, forecasts, forecast, GDP </div> <div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales.<br /> OCDE (2026), Perspectives économiques de l'OCDE No 119 (Edition 2026/2) </div> <ul> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO119/EO119_Database_documentation.pdf">Documentation de la base de données EO119</a> (en anglais uniquement) <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO119/Last_Historical_observation_EO_119.xlsx">Derniers points historiques EO119</a> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href="https://www.oecd.org/fr/themes/perspectives-economiques.html">https://www.oecd.org/fr/themes/perspectives-economiques.html</a><br /> <b><i>Contact</i></b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a><br /> <b><i>Keywords</i></b>: Perspectives, prévisions, projections, PIB </div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS Economic Outlook No 114 Perspectives Economiques No 114 The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br> <ul> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO114/EO114_Database_Inventory.pdf">EO114 Database inventory</a> </li> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO114/Last Historical observation EO114.XLSX">EO114 Last historical points</a> </li> </ul> <div> OECD Economic Outlook website: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a> <br/> Contact: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a> </div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales. <br> <ul> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO114/EO114_Database_Inventory.pdf">EO114 Database inventory</a> </li> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO114/Last Historical observation EO114.XLSX">EO114 Last historical points</a> </li> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a> <br/> Contact: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a> </div> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook No 115 Perspectives Economiques No 115 <div> May 2024 - The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br /> OECD (2024), OECD Economic Outlook No 115 (Edition 2024/1) </div> <ul> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO115/EO115_Database_documentation.pdf">EO115 Database documentation</a> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO115/Last_Historical_observation_EO115.XLSX">EO115 Last historical points</a> </ul> <div style='visibility:hidden'>gdp inflation cpi population unemployment real gdp gdp per capita employment</div> <div> OECD Economic Outlook website: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a><br /> <b><i>Contact</i></b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a><br /> <b><i>Keywords</i></b>: Outlook, forecasts, forecast, GDP </div> <div> Mai 2024 - Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales.<br /> OCDE (2024), Perspectives économiques de l'OCDE No 115 (Edition 2024/1) </div> <ul> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO115/EO115_Database_documentation.pdf">Documentation de la base de données EO115</a> (en anglais uniquement) <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO115/Last_Historical_observation_EO115.XLSX">Derniers points historiques EO115</a> </ul> <div style='visibility:hidden'>pib inflation population chomage pib réel pib par tête emploi</div> <div> Site internet des Perspectives économiques de l’OCDE: <a href="https://www.oecd.org/fr/themes/perspectives-economiques.html">https://www.oecd.org/fr/themes/perspectives-economiques.html</a><br /> <b><i>Contact</i></b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a><br /> <b><i>Keywords</i></b>: Perspectives, prévisions, projections, PIB </div> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook No 116 Perspectives Economiques No 116 <div> The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br/>OECD (2024), OECD Economic Outlook No 116 (Edition 2024/2) </div> <ul> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO116/EO116_Database_documentation.pdf">EO116 Database documentation</a> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO116/Last Historical observation EO116.XLSX">EO116 Last historical points</a> </ul> <div> OECD Economic Outlook website: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a> <br/> Contact: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a> </div> <div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales. <br/>OCDE (2024), Perspectives économiques de l'OCDE No 116 (Edition 2024/2) </div> <ul> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO116/EO116_Database_documentation.pdf">Documentation de la base de données EO116</a> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO116/Last Historical observation EO116.XLSX">Derniers points historiques EO116</a> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a> <br/> Contact: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a> </div> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook No 117 Perspectives Economiques No 117 <div> The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br/> OECD (2025), OECD Economic Outlook No 117 (Edition 2025/1) </div> <ul> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO117/EO117_Database_documentation.pdf">EO117 Database documentation</a> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO117/Last Historical observation EO117.XLSX">EO117 Last historical points</a> </ul> <div style="visibility:hidden">gdp inflation cpi population unemployment real gdp gdp per capita employment</div> <div> OECD Economic Outlook website: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a> <br/> <b> <i>Contact</i> </b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a> <br/> <b> <i>Keywords</i> </b>: Outlook, forecasts, forecast, GDP </div> <div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales.<br/> OCDE (2025), Perspectives économiques de l'OCDE No 117 (Edition 2025/1) </div> <ul> <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO117/EO117_Database_documentation.pdf">Documentation de la base de données EO117</a> (en anglais uniquement) <li> <a href="https://webfs-eco.oecd.org/files/.Stat/EO117/Last Historical observation EO117.XLSX">Derniers points historiques EO117</a> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href="https://www.oecd.org/fr/themes/perspectives-economiques.html">https://www.oecd.org/fr/themes/perspectives-economiques.html</a> <br/> <b> <i>Contact</i> </b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a> <br/> <b> <i>Keywords</i> </b>: Perspectives, prévisions, projections, PIB </div> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0,METHODOLOGY=_Z,FREQ=A NOT_DISPLAYED MEASURE=GDPV_ANNPCT,FREQ=A DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,ADJUSTMENT,METHODOLOGY,BASE_PER,CURRENCY COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Economic Outlook No 118 Perspectives Economiques No 118 <div> The OECD Economic Outlook presents the OECD’s analysis of the major global economic trends and prospects for the next two years. The Outlook puts forward a consistent set of projections for output, employment, government spending, prices and current balances based on a review of each member country and of the induced effect on each of them on international developments. <br /> OECD (2025), OECD Economic Outlook No 118 (Edition 2025/2) </div> <ul> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO118/EO118_Database_documentation.pdf">EO118 Database documentation</a> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO118/Last%20Historical%20observation%20EO118.xlsx">EO118 Last historical points</a> </ul> <div style='visibility:hidden'>gdp inflation cpi population unemployment real gdp gdp per capita employment</div> <div> OECD Economic Outlook website: <a href="https://www.oecd.org/economic-outlook/">https://www.oecd.org/economic-outlook/</a><br /> <b><i>Contact</i></b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a><br /> <b><i>Keywords</i></b>: Outlook, forecasts, forecast, GDP </div> <div> Les Perspectives économiques de l’OCDE présentent l'analyse de l'OCDE sur les principales tendances économiques mondiales et les prévisions pour les deux prochaines années. Il propose un ensemble cohérent de projections pour la production, l'emploi, les dépenses gouvernementales, les prix et les balances courantes, basées sur un examen de chaque pays membre et de l'effet induit sur chacun d'eux dans le cadre des évolutions internationales.<br /> OCDE (2025), Perspectives économiques de l'OCDE No 118 (Edition 2025/2) </div> <ul> <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO118/EO118_Database_documentation.pdf">Documentation de la base de données EO118</a> (en anglais uniquement) <li><a href="https://webfs-eco.oecd.org/files/.Stat/EO118/Last%20Historical%20observation%20EO118.xlsx">Derniers points historiques EO118</a> </ul> <div> Site internet des Perspectives économiques de l’OCDE: <a href="https://www.oecd.org/fr/themes/perspectives-economiques.html">https://www.oecd.org/fr/themes/perspectives-economiques.html</a><br /> <b><i>Contact</i></b>: <a href="mailto:eco.outlook@oecd.org">eco.outlook@oecd.org</a><br /> <b><i>Keywords</i></b>: Perspectives, prévisions, projections, PIB </div> NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION DECIMALS LAYOUT_NOTE UNIT_MULT=0 NOT_DISPLAYED MEASURE=GDPVTRD_CAP,FREQ=A,TIME_PERIOD_START=2026,TIME_PERIOD_END=2030 DEFAULT OECD Economic Outlook 117 long-term scenarios Perspectives Economiques 117: scenarios long terme Long-run economic scenarios (to 2100) are produced every 2-3 years to look at factors influencing the global economy that play out over many decades. Different vintages look at a different set of scenarios described in an associated publication. Selected series from these scenarios are available here for individual OECD, accession and G20 economies. A breakdown of the global economy by regions (following World Bank definitions) is also provided. Des scénarios économiques à long terme (jusqu'en 2100) sont produits tous les 2 à 3 ans afin d'analyser les facteurs influençant l'économie mondiale sur plusieurs décennies. Chaque millésime examine un ensemble de scénarios différents, décrits dans une publication associée. Une sélection de séries est disponible ici pour les économies de l'OCDE, les pays candidats et le G20. Une ventilation de l'économie mondiale par régions (selon les définitions de la Banque mondiale) est également fournie. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CLIM_POL LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED CLIM_POL=EPS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE: unit of measure COMBINED_UNIT_MEASURE:Unité de mesure OECD Environmental Policy Stringency Index Degré d'exigence des politiques environnementales The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally comparable measure of the stringency of environmental policy ranging from zero (least stringent) to six (most stringent). The index covers the years from 1990 to 2020, across 40 countries and 13 policy instruments, focusing on climate change and air pollution mitigation policies. The structure of the EPS, its components and the index construction can be accessed in the related 2022 OECD working paper: <a href= "https://doi.org/10.1787/90ab82e8-en"> https://doi.org/10.1787/90ab82e8-en </a>. This paper updates the 2014 working paper and index: <a href= "https://doi.org/10.1787/5jxrjnc45gvg-en"> https://doi.org/10.1787/5jxrjnc45gvg-en </a>. The OECD Environmental Policy Stringency Index (EPS) is a country-specific and internationally comparable measure of the stringency of environmental policy ranging from zero (least stringent) to six (most stringent). The index covers the years from 1990 to 2020, across 40 countries and 13 policy instruments, focusing on climate change and air pollution mitigation policies. The structure of the EPS, its components and the index construction can be accessed in the related 2022 OECD working paper: <a href= "https://doi.org/10.1787/90ab82e8-en"> https://doi.org/10.1787/90ab82e8-en </a>. This paper updates the 2014 working paper and index: <a href= "https://doi.org/10.1787/5jxrjnc45gvg-en"> https://doi.org/10.1787/5jxrjnc45gvg-en </a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=RHP,FREQ=Q,LASTNPERIODS=20 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,ADJUSTMENT,BASE_PER,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Analytical house prices indicators Indicateurs analytiques des prix des logements <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>Residential Property Prices Indices (RPPIs) &ndash; also named House price indices (HPIs), are index numbers that measure the prices of residential properties over time. RPPIs are key statistics not only for citizens and households across the world, but also for economic and monetary policy makers. They can help, for example, to monitor potential macroeconomic imbalances and the risk exposure of the household and financial sectors.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>This dataset covers the OECD member countries and some non-member countries. In addition to the nominal RPPIs it contains information on real house prices, rental prices, and the ratios of nominal prices to rents and to disposable household income per capita. This dataset contains quarterly and annual statistics for each country. Annual figures refer to the average of the year.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>Les Indices de Prix des Propri&eacute;t&eacute;s R&eacute;sidentielles (RPPIs) - &eacute;galement appel&eacute;s indices de prix des Logements (HPIS), Propri&eacute;t&eacute; r&eacute;sidentielle Indices des prix (RPPIs) - sont les indices qui mesurent les prix des propri&eacute;t&eacute;s r&eacute;sidentielles au cours du temps. Les RPPIs sont des statistiques cl&eacute;s non seulement pour les citoyens et les m&eacute;nages &agrave; travers le monde, mais aussi pour les d&eacute;cideurs &eacute;conomiques et mon&eacute;taires. Ils peuvent vous aider, par exemple, pour surveiller les d&eacute;s&eacute;quilibres macro&eacute;conomiques potentiels et l&apos;exposition au risque des m&eacute;nages et du secteur financier.</p><p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Calibri",sans-serif;'>Cette base de donn&eacute;es couvre les pays membres de l&apos;OCDE et certains pays non-membres. En plus des RPPIs nominaux, il contient des informations sur les prix r&eacute;els des logements, les prix de location et les ratios de prix nominaux aux loyers et aux revenus des m&eacute;nages par habitant. Cette base de donn&eacute;es contient des statistiques trimestrielles et annuelles pour chaque pays. Les donn&eacute;es annuelles se r&eacute;f&egrave;rent &agrave; des moyennes des donn&eacute;es trimestrielles.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,AGE=Y_LT30 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey Enquête internationale sur l’enseignement et l’apprentissage The world's largest international survey about teachers and school leaders. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,AGE=Y_LT30 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey by age Enquête internationale sur l’enseignement et l’apprentissage par âge The world's largest international survey about teachers and school leaders, presenting results by age group. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement, présentant les résultats par groupe d’âge. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,INSTITUTION_TYPE=INST_EDU_PUB DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey by institution type Enquête internationale sur l’enseignement et l’apprentissage par type d’établissement The world's largest international survey about teachers and school leaders, presenting results by type of institution. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement, présentant les résultats par type d’établissement. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,SEX=F DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey by sex Enquête internationale sur l’enseignement et l’apprentissage par sexe The world's largest international survey about teachers and school leaders, presenting results by gender. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement, présentant les résultats par genre. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,STUDENTS_CHARACTERISTICS=D_GAP_10_30 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey by students characteristics Enquête internationale sur l’enseignement et l’apprentissage selon les caractéristiques des élèves The world's largest international survey about teachers and school leaders, presenting results by students’ characteristics. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement, présentant les résultats selon les caractéristiques des élèves. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,TEACHER_PROFILE=Y_GT10 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey by teachers profile Enquête internationale sur l’enseignement et l’apprentissage selon le profil des enseignants The world's largest international survey about teachers and school leaders, presenting results by teachers’ profile. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement, présentant les résultats selon le profil des enseignants. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,URBANISATION=CITY DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey by urbanisation Enquête internationale sur l’enseignement et l’apprentissage selon le niveau d’urbanisation The world's largest international survey about teachers and school leaders, presenting results by level of urbanisation. La plus grande enquête internationale au monde sur les enseignants et les chefs d’établissement, présentant les résultats selon le niveau d’urbanisation. NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,AGE=Y_LT30 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement Estimates for the general sample of principals Estimations pour l’échantillon général des chefs d’établissement NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,AGE=Y_LT30 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals by age Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement selon l’âge Estimates for the general sample of principals segmented by age Estimations pour l’échantillon général des chefs d’établissement segmenté par âge NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,INSTITUTION_TYPE=INST_EDU_PUB DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals by institution type Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement selon le type d’établissement Estimates for the general sample of principals segmented by institution type Estimations pour l’échantillon général des chefs d’établissement segmenté par type d’établissement NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,SEX=F DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals by sex Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement selon le sexe Estimates for the general sample of principals segmented by sex Estimations pour l’échantillon général des chefs d’établissement segmenté par sexe NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,STUDENTS_CHARACTERISTICS=D_GAP_10_30 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals by students characteristics Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement selon les caractéristiques des élèves Estimates for the general sample of principals segmented by students characteristics Estimations pour l’échantillon général des chefs d’établissement segmenté selon les caractéristiques des élèves NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,URBANISATION=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,TEACHER_PROFILE=Y_GT10 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals by teachers profile Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement selon le profil des enseignants Estimates for the general sample of principals segmented by teacher profile Estimations pour l’échantillon général des chefs d’établissement segmenté selon le profil des enseignants NonProductionDataflow true REF_AREA LAYOUT_ROW STATISTICAL_OPERATION,EDUCATION_LEV LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=_Z,AGE=_T,SEX=_T,STUDENT_CHARACTERISTICS=_T,INSTITUTION_TYPE=_T,TEACHER_PROFILE=_T NOT_DISPLAYED MEASURE=Q2+Q2_1,URBANISATION=CITY DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Teaching and Learning International Survey on principals by urbanisation Enquête internationale sur l’enseignement et l’apprentissage concernant les chefs d’établissement selon le degré d’urbanisation Estimates for the general sample of principals segmented by level of urbanization Estimations pour l’échantillon général des chefs d’établissement segmenté selon le niveau d’urbanisation NonProductionDataflow true REF_AREA LAYOUT_ROW SUBJ_TYPE,AGE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 0.999999997 SEARCH_WEIGHT Instruction time in compulsory general education by age Temps d'instruction dans l'enseignement général obligatoire par âge <p>This dataset presents the number of hours of statutory instruction time in full-time compulsory education by age. It covers all ages in primary, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire à temps plein, par âge. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true EDUCATION_LEV LAYOUT_ROW REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED REF_AREA=OECD,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999997 SEARCH_WEIGHT Student instruction time - full dataset Temps d'instruction - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the students' instruction time in compulsory general education.</p><p>It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur le temps d'instruction des l'élèves. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,UNIT_MEASURE,SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT SUBJ_TYPE:SUBJ_TYPE COMBINED_CONCEPTS SUBJ_TYPE:Subject SUBJ_TYPE:Matière Instruction time in compulsory general education Temps d'instruction dans l'enseignement général obligatoire <p>This dataset presents the number of hours of statutory instruction time in full-time compulsory education. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire à temps plein. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,UNIT_MEASURE,SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT SUBJ_TYPE:SUBJ_TYPE COMBINED_CONCEPTS SUBJ_TYPE:Subject SUBJ_TYPE:Matière 0.999999997 SEARCH_WEIGHT Instruction time in compulsory general education - Subnational entities Temps d'instruction dans l'enseignement général obligatoire (données infranationales) <p>This dataset presents the number of hours of statutory instruction time in full-time compulsory education for some subnational entities. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le nombre d'heures d'instruction statutaires dans l'enseignement obligatoire à temps plein pour certaines entités infranationales. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MEASURE=GRDS,AGE,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Organisation of compulsory general education Organisation de la filière générale de l’enseignement obligatoire <p>This dataset presents how full-time compulsory education is organised, such as number of grades. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente la manière dont l'enseignement obligatoire à temps plein est organisé, par exemple le nombre d’années d’études. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MEASURE=GRDS,AGE,UNIT_MULT NOT_DISPLAYED REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 0.999999997 SEARCH_WEIGHT Organisation of compulsory general education - Subnational entities Organisation de la filière générale de l’enseignement obligatoire (données infranationales) <p>This dataset presents how full-time compulsory education is organised, such as number of grades, for some subnational entities. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente la manière dont l'enseignement obligatoire à temps plein est organisé, par exemple le nombre d’années d’études, pour certaines entités infranationales. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED AGE=Y10 DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure 0.999999997 SEARCH_WEIGHT Instruction time per subject by age Temps d'instruction par matière et par âge <p>This dataset presents the percentage of total compulsory instruction time spent on different subjects by age. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le pourcentage du temps total d'enseignement obligatoire consacré à différentes matières par âge. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW SUBJ_TYPE LAYOUT_COLUMN REF_PERIOD=2025,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS UNIT_MEASURE:Unit of measure UNIT_MEASURE:Unité de mesure Instruction time per subject by level of education Temps d'instruction par matière et par niveau d'enseignement <p>This dataset presents the percentage of total compulsory instruction time spent on different subjects by level of education. It covers primary education, lower secondary general education and compulsory upper secondary general education, but excludes pre-primary education, even if compulsory. Data refers to the reference year 2025 (school year 2024/25 or 2025), unless stated otherwise.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Education at a Glance 2025 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente le pourcentage du temps total d'enseignement obligatoire consacré à différentes matières par niveau d'enseignement. Il couvre l'enseignement primaire, le premier cycle de l'enseignement secondaire général et le deuxième cycle de l'enseignement secondaire général obligatoire, mais exclut l'enseignement préprimaire, même s'il est obligatoire. Les données se réfèrent à l'année de référence 2025 (année scolaire 2024/25 ou 2025), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://doi.org/10.1787/fcfaf2d1-en"><i>Regard sur l'éducation 2025 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,AGE,INCOME LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Education and earnings (EARNINGS) (full dataset) Éducation et revenus (EARNINGS) (ensemble de données complet) This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. This dataset includes the distribution of workers based on the level of their earnings with respect to the median earnings as well as indicators of relative earnings based on the following baselines: the earnings of workers with below upper secondary attainment, of those with upper secondary attainment, of tertary-educated workers, of male workers, of 25-34 year-old workers, and of native-born workers. This dataset combines data disseminated with the all the dataflows that present indicators from the Education and Earnings data collection: default tables are optimised in the specific dataflows. Filter the Unit of measure and the other available dimensions to visualise specific indicators and use the time period filter to visualise historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les revenus relatifs des travailleurs, ventilées par tranche d'âge, sexe, niveau d'instruction et modalités du temps de travail. Il présente la répartition des travailleurs selon leur niveau de revenu par rapport au revenu médian, ainsi que des indicateurs de revenu relatif fondés sur les références suivantes : les revenus des travailleurs ayant un niveau d'instruction inférieur au deuxième cycle du secondaire, ceux ayant atteint ce niveau, ceux ayant fait des études supérieures, les hommes, les travailleurs âgés de 25 à 34 ans et les travailleurs nés dans le pays. Cet ensemble de données regroupe les informations diffusées dans le cadre de tous les flux de données présentant des indicateurs issus de la collecte « Éducation et revenus » ; les tableaux par défaut sont optimisés dans chaque flux spécifique. Filtrez l'Unité de mesure et les autres dimensions disponibles pour visualiser des indicateurs spécifiques et utilisez le filtre temporel pour afficher les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,INCOME LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,INCOME=MILE_50+MIGT_50_LE100+MIGT_100_LE150+MIGT_150_LE200+MIGT_200,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earners distribution based on their level of earnings relative to the overall median, by age group, gender and educational attainment level Répartition des actifs en fonction de leur niveau de revenus par rapport à la médiane globale, par groupe d'âge, sexe et niveau d'études This dataset contains data on the distribution of workers based on their level of earnings relative to the overall median, by educational attainment level, gender and age group. The default table displays 2024 data (or the latest available year) on the distribution of 25-64 year-old workers, for a given level of the three aggregated levels of educational attainment. The selection can be changed to display data by gender and by age group. Overall median refers the median earnings from work for 25-64 year-olds with income from employment (full- and part-time workers) for all levels of educational attainment. Data refer to gross earnings except for Argentina and Türkiye. Filter the time period to visualise historical data. </p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des travailleurs en fonction de leur niveau de revenu par rapport à la médiane générale, par niveau d'études, sexe et tranche d'âge. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur la répartition des travailleurs âgés de 25 à 64 ans, pour un niveau donné parmi les trois niveaux d'études agrégés. La sélection peut être modifiée pour afficher les données par sexe et par tranche d'âge. La médiane générale correspond au revenu médian du travail des 25-64 ans ayant un revenu d'emploi (travailleurs à temps plein et à temps partiel), tous niveaux d'études confondus. Les données se réfèrent aux revenus bruts, sauf pour l'Argentine et la Turquie. Filtrez la période pour visualiser les données historiques. </p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T34,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings differences by field of study among tertiary-educated workers, by age group, gender and level of tertiary educational attainment Différences de revenus par domaine d'études parmi les actifs diplômés de l'enseignement supérieur, par groupe d'âge, sexe et niveau de diplôme de l'enseignement supérieur This dataset contains data on the differrences in earnings from employment by field of study, age group, educational attainment level and work time arrangement. The baseline is the earnings of tertiary-educated full-time workers from all fields of study. The default table displays 2023 data (or the latest available year). The selection can be changed to display data by more detailed educational attainment level, age group, gender and by work time arrangement (e.g. full- or part-time employment). </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les différences de revenus d'emploi selon le domaine d'études, la tranche d'âge, le niveau de formation et l'aménagement du temps de travail. La base de référence est constituée des revenus des travailleurs à temps plein diplômés de l'enseignement supérieur, tous domaines d'études confondus. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible). La sélection peut être modifiée pour afficher les données par niveau de formation plus détaillé, tranche d'âge, sexe et aménagement du temps de travail (par exemple, temps plein ou partiel). </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T34,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_34_44+ISCED11A_35_45+ISCED11A_6,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings of workers relative to the earnings of workers with below upper secondary educational attainment, by age group, gender and educational attainment level Revenus des actifs occupés par rapport aux revenus des actifs occupés ayant un niveau d'études inférieur au deuxième cycle de l'enseignement secondaire, par groupe d'âge, sexe et niveau d'études This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of workers with below upper secondary attainment, and it is primarily served to analyse the earnings difference by programme orientation. The default table displays 2024 data (or the latest available year) on the earnings of 25-34 year-old full-time workers with general or vocational upper secondary or post-secondary non-tertiary attainment, or bachelor's or equivalent degree as a percentage of the earnings of their peers with below upper secondary attainment. The selection can be changed to display data by gender, by level of educational attainment, by age group and by work time arrangement (e.g. full- or part-time employment). Data refer to gross earnings except for Argentina and Türkiye. Data on full-time workers are recommended because of better comparability. Filter the time period to visualise historical data. </p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les revenus relatifs des travailleurs, par groupe d'âge, sexe, niveau d'études et aménagement du temps de travail. La base de référence est constituée des revenus des travailleurs n'ayant pas terminé le deuxième cycle du secondaire, et il sert principalement à analyser les différences de revenus selon la filière d'études. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur les revenus des travailleurs à temps plein âgés de 25 à 34 ans titulaires d'un diplôme d'enseignement secondaire supérieur général ou professionnel ou d'un diplôme postsecondaire non tertiaire, ou d'une licence ou d'un diplôme équivalent, en pourcentage des revenus de leurs pairs ayant un niveau inférieur au deuxième cycle du secondaire. La sélection peut être modifiée pour afficher les données par sexe, par niveau d'études, par tranche d'âge et par aménagement du temps de travail (par exemple, emploi à temps plein ou partiel). Les données se réfèrent aux revenus bruts, sauf pour l'Argentine et la Turquie. Il est recommandé de fournir des données sur les travailleurs à temps plein pour une meilleure comparabilité. Filtrez la période pour visualiser les données historiques. </p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,WORK_TIME_ARNGMNT=FT,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings differences by gender, by age group and educational attainment level Différences de revenus par sexe, par groupe d'âge et par niveau d'études This dataset contains data on the gender differrences in earnings from employment, by age group, educational attainment level and work time arrangement. The baseline is men's earnings. The default table displays 2024 data (or the latest available year) on the earnings of 25-64 year-old full-time female workers as a percentage of the earnings of their male counterparts, by the three aggregated levels of educational attainment. The selection can be changed to display data by educational attainment, by age group and by work time arrangement (e.g. full- or part-time employment).</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les différences de revenus du travail entre les sexes, par groupe d'âge, niveau de formation et aménagement du temps de travail. La base de référence est le revenu des hommes. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur les revenus des femmes de 25 à 64 ans travaillant à temps plein en pourcentage de ceux de leurs homologues masculins, selon les trois niveaux de formation agrégés. La sélection peut être modifiée pour afficher les données par niveau d'éducation, par groupe d'âge et par aménagement du temps de travail (par exemple, emploi à temps plein ou à temps partiel). </p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,MIGRATION_AGE=_T,BIRTH_PLACE=FB,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings differences by country of birth and age at migration, by age group, gender and educational attainment level Différences de revenus selon le pays de naissance et l'âge au moment de la migration, par groupe d'âge, sexe et niveau d'études This dataset contains data on the differrences in earnings from employment between native- and foreign-born adults, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of native-born workers. The default table displays 2022 data (or the latest available year) on the earnings of 25-64 year-old native-born full-time workers as a percentage of the earnings of their foreign-born counterparts, by the three aggregated levels of educational attainment. The selection can be changed to display data by educational attainment level, age group, gender, age at migration and by work time arrangement (e.g. full- or part-time employment). </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les différences de revenus d'emploi entre les adultes nés dans le pays et ceux nés à l'étranger, par groupe d'âge, sexe, niveau d'études et aménagement du temps de travail. La base de référence est constituée par les revenus des travailleurs nés dans le pays. Le tableau par défaut affiche les données de 2022 (ou de la dernière année disponible) sur les revenus des travailleurs à temps plein âgés de 25 à 64 ans nés dans le pays, exprimés en pourcentage des revenus de leurs homologues nés à l'étranger, selon les trois niveaux de formation agrégés. La sélection peut être modifiée pour afficher les données par niveau de formation, tranche d'âge, sexe, âge à la migration et aménagement du temps de travail (par exemple, temps plein ou partiel). </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_5+ISCED11A_6+ISCED11A_7_8+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings of workers relative to the earnings of workers with upper secondary educational attainment, by age group, gender and educational attainment level Revenus des actifs occupés par rapport aux revenus des actifs occupés ayant un niveau d'éducation secondaire supérieur, par groupe d'âge, sexe et niveau d'éducation This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of workers with upper secondary attainment. The default table displays 2024 data (or the latest available year) on the earnings of 25-64 year-old full-time workers with below upper secondary attainment or teritary attainment as a percentage of the earnings of their peers with upper secondary attainment. The selection can be changed to display data by gender, educational attainment level, age group and work time arrangement (e.g. full- or part-time employment). Note that the baseline is the earnings of workers with upper secondary or post-secondary non-tertiary attainment for Colombia, France, Italy, Peru and Swizterland. Data refer to gross earnings except for Argentina and Türkiye. Data on full-time workers are recommended because of better comparability. Filter the time period to visualise historical data. </p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les revenus relatifs des travailleurs, par groupe d'âge, sexe, niveau d'études et aménagement du temps de travail. La base de référence est constituée des revenus des travailleurs titulaires d'un diplôme du deuxième cycle de l'enseignement secondaire. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur les revenus des travailleurs à temps plein âgés de 25 à 64 ans n'ayant pas terminé le deuxième cycle du secondaire ou l'enseignement supérieur, exprimés en pourcentage des revenus de leurs pairs ayant terminé le deuxième cycle du secondaire. La sélection peut être modifiée pour afficher les données par sexe, niveau d'études, tranche d'âge et aménagement du temps de travail (par exemple, emploi à temps plein ou partiel). Veuillez noter que la base de référence correspond aux revenus des travailleurs ayant terminé le deuxième cycle du secondaire ou l'enseignement postsecondaire non tertiaire pour la Colombie, la France, l'Italie, le Pérou et la Suisse. Les données se réfèrent aux revenus bruts, sauf pour l'Argentine et la Turquie. Il est recommandé d'utiliser les données sur les travailleurs à temps plein pour une meilleure comparabilité. Filtrez la période pour visualiser les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,AGE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y35T44+Y45T54+Y55T64,WORK_TIME_ARNGMNT=FT,SEX=_T,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,LABOUR_FORCE_STATUS=EMP,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2018,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Earnings of workers relative to the earnings of 25-34 year-olds, by age group, gender and educational attainment level Revenus des actifs occupés par rapport aux revenus des 25-34 ans, par groupe d'âge, sexe et niveau d'études This dataset contains data on the relative earnings of workers, by age group, gender, educational attainment level and work time arrangement. The baseline is the earnings of 25-34 year-old workers. The default table displays 2024 data (or the latest available year) on the earnings of 35-44, 45-54 and 55-64 year-old full-time workers as a percentage of the earnings of their 25-34 year-old peers, by the three aggregated levels of educational attainment. The selection can be changed to display data by gender, by educational attainment level, by age group and by work time arrangement (e.g. full- or part-time employment). </p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les revenus relatifs des travailleurs, par tranche d'âge, sexe, niveau de scolarité et aménagement du temps de travail. La base de référence est constituée des revenus des travailleurs âgés de 25 à 34 ans. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur les revenus des travailleurs à temps plein âgés de 35 à 44 ans, 45 à 54 ans et 55 à 64 ans, exprimés en pourcentage des revenus de leurs homologues âgés de 25 à 34 ans, selon les trois niveaux de scolarité agrégés. La sélection peut être modifiée pour afficher les données par sexe, niveau de scolarité, tranche d'âge et aménagement du temps de travail (par exemple, temps plein ou partiel). </p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2025,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT National Educational Attainment Classification (NEAC) and labour market status (full dataset) Classification nationale des niveaux d'études (NEAC) et situation sur le marché du travail (ensemble de données complet) This dataset contains data on the distribution of adults with a given age group and gender by educational attainment level, their employment rate, their unemployment rate, the share of adults who are unemployed and outside the labour force, their distribution by gender, field of study, migration status, and duration of unemployment . This dataset combines data disseminated with the all the dataflows that present indicators from the National Educational Attainment Classification (NEAC) data collection: default tables are optimised in the specific dataflows. Filter Measure, Unit of measure and the other available dimensions to visualise specific indicators and use the time period filter to visualise historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des adultes d'une tranche d'âge et d'un sexe donnés selon le niveau d'instruction, ainsi que sur leur taux d'emploi, leur taux de chômage, la part des adultes au chômage ou inactifs, et leur répartition selon le sexe, le domaine d'études, le statut migratoire et la durée du chomage. Il regroupe les données diffusées via l'ensemble des flux de données présentant des indicateurs issus de la collecte relative à la Classification nationale du niveau d'instruction (NEAC) ; les tableaux par défaut sont optimisés pour chaque flux spécifique. Filtrez les indicateurs (mesure), l'unité de mesure et les autres dimensions disponibles pour afficher des données précises, et utilisez le filtre temporel pour visualiser les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,MEASURE,DURATION_UNEMP LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,DURATION_UNEMP=_T+M_LT3+M3T11+M_GE12,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Duration of unemployment distribution among unemployed adults, by educational attainment, age group and gender Répartition de la durée du chômage chez les adultes au chômage, par niveau d'études, groupe d'âge et sexe This dataset contains data on the duration of unemployment distribution among unemployed adults, by educational attainment, age group and gender. The default table displays 2024 data (or the latest available year) on the distribution of unemployed 25-64 year-olds by duration of unemployment. The selection can be changed to display data by more detailed educational attainment level, by by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition de la durée du chômage chez les adultes au chômage, par niveau d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur la répartition des chômeurs de 25 à 64 ans selon la durée du chômage. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2025,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' educational attainment distribution, by age group and gender Répartition du niveau d'études des adultes, par groupe d'âge et par sexe This dataset contains data on the distribution of adults with a given age group and gender by educational attainment level. The default table displays 2025 data (or the latest available year) on the distribution of 25-64 year-olds by educational attainment. The selection can be changed to display data by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des adultes d'une tranche d'âge et d'un sexe donnés, par niveau d'études. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur la répartition des 25-64 ans par niveau d'études. La sélection peut être modifiée pour afficher les données par orientation de programme, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,SEX=_T,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Field of study distribution of tertiary-educated adults, by level of tertiary educational attainment, age group and gender Répartition des domaines d'études des adultes diplômés de l'enseignement supérieur, par niveau d'études, groupe d'âge et sexe This dataset contains data on the distribution of tertiary-educated adults with a given age group and gender by field of study. The default table displays 2024 data (or the latest available year) on the distribution of tertiary-educated 25-64 year-olds by field of study. The selection can be changed to display data by more detailed educational attainment level, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des adultes diplômés de l'enseignement supérieur, par tranche d'âge et par sexe, par domaine d'études. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur la répartition des 25-64 ans diplômés de l'enseignement supérieur par domaine d'études. Vous pouvez modifier la sélection pour afficher les données par niveau d'études plus détaillé, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MIGR_STATUS,ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' educational attainment distribution, by country of birth, age group and gender Répartition du niveau d'études des adultes, par pays de naissance, groupe d'âge et sexe This dataset contains data on the distribution of native- and foreign-born adults with a given age group and gender by educational attainment level. The default table displays 2023 data (or the latest available year) on the distribution of native- and foreign-born 25-64 year-olds by educational attainment. The selection can be changed to display data by age at migration, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des adultes nés au pays et à l'étranger, par tranche d'âge et par sexe, selon le niveau d'études. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur la répartition des 25-64 ans nés au pays et à l'étranger, selon le niveau d'études. La sélection peut être modifiée pour afficher les données par âge à la migration, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,SEX LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=F+M,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' gender distribution, by educational attainment level and age group Répartition des adultes par sexe, par niveau de formation et par groupe d'âge This dataset contains data on the gender distribution of adults with a given age group and educational attainment level. The default table displays 2025 data (or the latest available year) on the gender distribution of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by educational attainment, by programme orientation and by age group. Filter the time period to visualise historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition par sexe des adultes d'une tranche d'âge et d'un niveau d'éducation donnés. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur la répartition par sexe des 25-64 ans ayant un niveau d'études inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou de l'enseignement post-secondaire non tertiaire, ou de l'enseignement tertiaire. La sélection peut être modifiée pour afficher les données par niveau d'études, par orientation et par tranche d'âge. Filtrez la période pour visualiser les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Adults' migration status distribution, by educational attainment level, age group and gender Répartition du statut migratoire des adultes, par niveau d'éducation, par groupe d'âge et par sexe This dataset contains data on the distribution of adults with a given age group, gender, educational attainment level and migration status. The default table displays 2023 data (or the latest available year) on the share of native- and foreign-born 25-64 year-olds with a given level of educational attainment. The selection can be changed to display data by age at migration, by gender and by age group. Filter the time period to display historical data. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des adultes selon une tranche d'âge, un sexe, un niveau d'études et un statut migratoire donnés. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur la part des personnes de 25 à 64 ans, nées au pays ou à l'étranger, ayant un niveau d'études donné. La sélection peut être modifiée pour afficher les données par âge à la migration, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Employment rates of adults, by educational attainment, age group and gender Taux d'emploi des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on employment rates by educational attainment level, age group and gender. The default table displays 2025 data (or the latest available year) on the employment rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'emploi par niveau d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur les taux d'emploi des 25-64 ans titulaires d'un diplôme inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou de l'enseignement postsecondaire non supérieur, ou de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Employment rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender Taux d'emploi des adultes diplômés de l'enseignement supérieur, par domaine d'études, par niveau d'études, par groupe d'âge et par sexe This dataset contains data on employment rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2024 data (or the latest available year) on the employment rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'emploi des diplômés de l'enseignement supérieur, par niveau d'études, domaine d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur les taux d'emploi de tous les diplômés de l'enseignement supérieur âgés de 25 à 64 ans. Vous pouvez modifier la sélection pour afficher les données par niveau d'études plus détaillé, par domaine d'études, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Employment rates of adults, by educational attainment, age group, gender, country of birth and age at migration Taux d'emploi des adultes, par niveau d'études, groupe d'âge, sexe, pays de naissance et âge au moment de la migration This dataset contains data on employment rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the employment rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'emploi par niveau d'études, statut migratoire, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) concernant les taux d'emploi des personnes de 25 à 64 ans, nées dans le pays ou à l'étranger, titulaires d'un diplôme inférieur au deuxième cycle du secondaire, d'un diplôme d'études secondaires supérieures ou post-secondaires non tertiaires, ou d'un diplôme tertiaire. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par âge à la migration, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Inactivity rates of adults, by educational attainment, age group and gender Taux d'inactivité des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on inactivity rates by educational attainment level, age group and gender. The default table displays 2025 data (or the latest available year) on the inactivity rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data. </p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'inactivité par niveau d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur les taux d'inactivité des 25-64 ans ayant un niveau d'études inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou de l'enseignement postsecondaire non supérieur, ou de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Inactivity rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender Taux d'inactivité des adultes diplômés de l'enseignement supérieur, par domaine d'études, par niveau d'études, par groupe d'âge et par sexe This dataset contains data on inactivity rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2024 data (or the latest available year) on the inactivity rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'inactivité des adultes diplômés de l'enseignement supérieur, par niveau d'études, domaine d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur les taux d'inactivité de tous les diplômés de l'enseignement supérieur âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par domaine d'études, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Inactivity rates of adults, by educational attainment, age group, gender, country of birth and age at migration Taux d'inactivité des adultes, par niveau d'études, groupe d'âge, sexe, pays de naissance et âge au moment de la migration This dataset contains data on inactivity rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the inactivity rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'inactivité par niveau d'études, statut migratoire, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) concernant les taux d'inactivité des personnes de 25 à 64 ans, nées dans le pays ou à l'étranger, titulaires d'un diplôme inférieur au deuxième cycle du secondaire, d'un diplôme d'études secondaires supérieures ou post-secondaires non tertiaires, ou d'un diplôme tertiaire. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par âge à la migration, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Labour force participation rates of adults, by educational attainment, age group and gender Taux d'activité des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on labour force participation rates by educational attainment level, age group and gender. The default table displays 2025 data (or the latest available year) on the labour force participation rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux d'activité par niveau d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) concernant les taux d'activité des 25-64 ans titulaires d'un diplôme inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou de l'enseignement postsecondaire non supérieur, ou de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Unemployment rates of adults, by educational attainment, age group and gender Taux de chômage des adultes, par niveau d'études, groupe d'âge et sexe This dataset contains data on unemployment rates by educational attainment level, age group and gender. The default table displays 2025 data (or the latest available year) on the unemployment rates of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to display historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux de chômage par niveau d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) concernant les taux de chômage des 25-64 ans ayant un niveau d'études inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou de l'enseignement postsecondaire non supérieur, ou de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2020,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Share of unemployed adults among all adults, by educational attainment level, age group and gender Part des adultes au chômage parmi l'ensemble des adultes, par niveau de formation, groupe d'âge et sexe This dataset contains data on the share of unemployed adults by educational attainment level, age group and gender. The default table displays 2025 data (or the latest available year) on the share of 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment who are unemployed among all 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by gender and by age group. Filter the time period to visualise historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la part des adultes au chômage par niveau d'études, groupe d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur la proportion de chômeurs âgés de 25 à 64 ans ayant un niveau d'études inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou de l'enseignement postsecondaire non tertiaire, ou de l'enseignement tertiaire, parmi l'ensemble des 25 à 64 ans. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par sexe et par tranche d'âge. Filtrez la période pour visualiser les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_5T8,EDUCATION_FIELD=F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,STATISTICAL_OPERATION=OBS,TIME_PERIOD_END=2025,TIME_PERIOD_START=2017,SEX=_T,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Unemployment rates of tertiary-educated adults, by field of study, tertiary educational attainment, age group and gender Taux de chômage des adultes diplômés de l'enseignement supérieur, par domaine d'études, par niveau d'études, par groupe d'âge et par sexe This dataset contains data on unemployment rates of tertiary-educated adults by educational attainment level, field of study, age group and gender. The default table displays 2024 data (or the latest available year) on the unemployment rates of all tertiary-educated 25-64 year-olds. The selection can be changed to display data by more detailed educational attainment level, by filed of study, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux de chômage des diplômés de l'enseignement supérieur, par niveau d'études, domaine d'études, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur les taux de chômage de tous les diplômés de l'enseignement supérieur âgés de 25 à 64 ans. Vous pouvez modifier la sélection pour afficher les données par niveau d'études plus détaillé, par domaine d'études, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ATTAINMENT_LEV,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,EDU_STATUS,LABOUR_FORCE_STATUS NOT_DISPLAYED AGE=Y25T64,ATTAINMENT_LEV=ISCED11A_0T2+ISCED11A_3_4+ISCED11A_5T8,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Unemployment rates of adults, by educational attainment, age group, gender, country of birth and age at migration Taux de chômage des adultes, par niveau d'études, groupe d'âge, sexe, pays de naissance et âge au moment de la migration This dataset contains data on unemployment rates by educational attainment level, migration status, age group and gender. The default table displays 2023 data (or the latest available year) on the unemployment rates of native- and foreign-born 25-64 year-olds with below upper secondary, upper secondary or post-secondary non-tertiary, or tertiary attainment. The selection can be changed to display data by more detailed educational attainment level, by programme orientation, by age at migration, by gender and by age group. Filter the time period to display historical data.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur les taux de chômage par niveau d'études, statut migratoire, tranche d'âge et sexe. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) concernant les taux de chômage des personnes de 25 à 64 ans, nées dans le pays ou à l'étranger, titulaires d'un diplôme inférieur au deuxième cycle du secondaire, du deuxième cycle du secondaire ou d'un diplôme post-secondaire non tertiaire, ou d'un diplôme tertiaire. La sélection peut être modifiée pour afficher les données par niveau d'études plus détaillé, par orientation, par âge à la migration, par sexe et par tranche d'âge. Filtrez la période pour afficher les données historiques.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDU_STATUS,LABOUR_FORCE_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE,LABOUR_FORCE_STATUS=LF NOT_DISPLAYED AGE=Y18T24,ATTAINMENT_LEV=_T,SEX=_T,EDU_STATUS=ED+ED_WS+ED_E_O+NED,LABOUR_FORCE_STATUS=POP+EMP+NE+UNE+OLF,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H,LABOUR_FORCE_STATUS:OECD.EDU.IMEP:HCL_LF_STATUS(1.0).H HIER_CONTEXT Distribution of young adults' education and work status, for a given level of educational attainment, age group and gender Répartition de l'éducation et de la situation professionnelle des jeunes adultes, pour un niveau d'éducation donné, par groupe d'âge et par sexe This dataset contains data on the distribution of young adults by education and work status. The default table displays 2025 data (or the latest available year) on the distribution of 18-24 year-olds in education/not in education, by their work status (e.g. employed or not employed). Young adults who are neither employed nor in formal education and training are also called NEET. The selection can be changed to display data by educational attainment, by detailed education and work status and by age group. </p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des jeunes adultes selon leur situation au regard du niveau d'éducation et de l'emploi. Le tableau par défaut affiche les données de 2024 (ou de la dernière année disponible) sur la répartition des 18-24 ans scolarisés/non scolarisés, selon leur situation au regard de l'emploi (par exemple, avec ou sans emploi). Les jeunes adultes qui ne sont ni en emploi ni en formation formelle sont également appelés NEET. La sélection peut être modifiée pour afficher les données par niveau de formation, par situation détaillée au regard de l'éducation et de l'emploi, et par groupe d'âge. </p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDU_STATUS,LABOUR_FORCE_STATUS,COMBINED_MIGR_STATUS LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y18T24+Y15T29,ATTAINMENT_LEV=_T,SEX=_T,EDU_STATUS=ED+ED_WS+ED_E_O+NED,LABOUR_FORCE_STATUS=POP+EMP+NE+UNE+OLF,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2020,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H,LABOUR_FORCE_STATUS:OECD.EDU.IMEP:HCL_LF_STATUS(1.0).H HIER_CONTEXT Youth's transition from education to work (TRANS) (full dataset) Transition des jeunes de l'éducation au travail (TRANS) (ensemble de données complet) This dataset contains data on the distribution of young adults by education and work status, by duration of unemployment, and by migration status. This dataset combines data disseminated with the all the dataflows that present indicators from the Youth's transition from education to work (TRANS) data collection: default tables are optimised in the specific dataflows. Filter the available dimensions to visualise specific indicators and use the time period filter to visualise historical data.</p><p>Data for the latest available year are preliminary. Final data will be released on September 29, 2026.</p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des jeunes adultes selon le niveau d'instruction et la situation vis-à-vis de l'emploi, la durée du chômage et le statut migratoire. Il regroupe des données issues de l'ensemble des flux présentant des indicateurs de la collecte relative à la Transition des jeunes de l'éducation au travail (TRANS) ; les tableaux par défaut sont optimisés pour chaque flux spécifique. Filtrez les dimensions disponibles pour afficher des indicateurs précis et utilisez le filtre temporel pour visualiser les données historiques.</p><p>Les données pour la dernière année disponible sont préliminaires. Les données finales seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW BIRTH_PLACE LAYOUT_COLUMN TIME_PERIOD LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC UNIT_MULT=0,OBS_STATUS=A,QUESTIONNAIRE NOT_DISPLAYED AGE=Y15T29,ATTAINMENT_LEV=_T,SEX=_T,BIRTH_PLACE=FB+NB,MIGRATION_AGE=_Z+_T,EDU_STATUS=NED,LABOUR_FORCE_STATUS=NE,STATISTICAL_OPERATION=OBS,TIME_PERIOD_START=2017,TIME_PERIOD_END=2025,LASTNOBSERVATIONS=1,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD+ARG+BRA+BGR+HRV+IND+IDN+PER+ROU+SAU+ZAF DEFAULT COMBINED_MIGR_STATUS:BIRTH_PLACE,MIGRATION_AGE COMBINED_CONCEPTS COMBINED_MIGR_STATUS:Migration status COMBINED_MIGR_STATUS:Statut migratoire ATTAINMENT_LEV:OECD.EDU.IMEP:HCL_ISCED11A(1.0).H HIER_CONTEXT Share of young adults who are not employment nor in formal education or training (NEET), by country of birth and age at migration Part des jeunes adultes qui n'ont pas d'emploi et ne suivent pas d'enseignement ou de formation formels (NEET), par pays de naissance et âge au moment de la migration This dataset contains data on the distribution of young adults who are native- and foreign-born, by education and work status. The default table displays 2023 data (or the latest available year) on share of native- and foreign-born 15-29 year-olds, who are neither employed nor in formal education and training (e.g. NEET). The selection can be changed to display data by educational attainment, by education and work status, by age group and by age at migration. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des informations sur la répartition des jeunes adultes nés dans le pays et à l'étranger, selon leur niveau de formation et leur situation au regard de l'emploi. Le tableau par défaut affiche les données de 2023 (ou de la dernière année disponible) sur la part des 15-29 ans, nés dans le pays ou à l'étranger, qui ne sont ni employés ni en formation formelle (par exemple, NEET). La sélection peut être modifiée pour afficher les données par niveau de formation, par situation d'études et d'emploi, par groupe d'âge et par âge à la migration. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation</i></a>. NonProductionDataflow true AGE,SEX LAYOUT_ROW PERS_TYPE,EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION REF_PERIOD=2023,OBS_STATUS=A,UNIT_MULT,STATISTICAL_OPERATION=OBS NOT_DISPLAYED REF_AREA=OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999990 SEARCH_WEIGHT Actual salaries of teachers and school heads - full dataset Salaires effectifs des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the actual salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD average.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur les salaires réels des enseignants et des chefs d'établissement.</p><p>Il couvre les enseignants et les chefs d'établissement travaillant à temps plein dans des établissements publics, travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles). La sélection par défaut affiche toutes les mesures disponibles de la moyenne de l'OCDE.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW PERS_TYPE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Actual salary of teachers and school heads - full dataset Salaire effectif des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the actual salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les salaires effectif des enseignants et des chefs d'établissements. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants et les chefs d'établissements travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe School heads' actual salary Salaire effectif des chefs d’établissement <p>This dataset presents data on actual salaries of school heads (including additional work-related payments). It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires effectifs des chefs d'établissement (y compris les paiements supplémentaires liés au travail). Il couvre les chefs d'établissement âgés de 25 à 64 ans, travaillant à plein temps dans des établissements publics et travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=BEL+BFL+BFR+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe School heads' actual salary (subnational data) Salaire effectif des chefs d’établissement (données infranationales) <p>This dataset presents data on actual salaries of school heads (including additional work-related payments) for some subnational entities. It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires effectifs des chefs d'établissement (y compris les paiements supplémentaires liés au travail) pour certaines entités infranationales. Il couvre les chefs d'établissement âgés de 25 à 64 ans, travaillant à plein temps dans des établissements publics et travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_AGE_SEX:AGE,SEX;COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER COMBINED_CONCEPTS COMBINED_AGE_SEX:Age group and sex;COMBINED_REF_PERIOD:Reference years of salaries data and of wages of tertiary workers COMBINED_AGE_SEX:Groupe d'âge et sexe;COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des enseignants et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire School heads' actual salary relative to earnings of tertiary-educated workers Salaire effectif des chefs d’établissement relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares actual salaries of school heads (including additional work-related payments) with earnings of tertiary-educated workers. It covers school heads aged 25-64, working full time in public institutions, and working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires effectifs des chefs d'établissement (y compris les paiements supplémentaires liés au travail) relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les chefs d'établissement âgés de 25 à 64 ans, travaillant à plein temps dans des établissements publics et travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe Teachers' actual salary Salaire effectif des enseignants <p>This dataset presents data on actual salaries of teachers (including additional work-related payments). It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente des les salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail). Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED UNIT_MEASURE=USD_PPP,AGE=Y25T64,SEX=_T,REF_AREA=BEL+BFL+BFR+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe Teachers' actual salary (subnational data) Salaire effectif des enseignants (données infranationales) <p>This dataset presents data on actual salaries of teachers (including additional work-related payments) for some subnational entities. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail) pour certaines entités infranationales. Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED AGE=Y25T64,SEX=_T,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_AGE_SEX:AGE,SEX;COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER COMBINED_CONCEPTS COMBINED_AGE_SEX:Age group and sex;COMBINED_REF_PERIOD:Reference years of salaries data and of wages of tertiary workers COMBINED_AGE_SEX:Groupe d'âge et sexe;COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des enseignants et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire Teachers' actual salary relative to earnings of tertiary-educated workers Salaire effectif des enseignants relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares actual salaries of teachers (including additional work-related payments) with earnings of tertiary-educated workers. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail) relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_AGE_SEX:Age group and sex COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' actual salaries Salaires effectifs des chefs d’établissement <p>This dataset contains data on actual salaries of school heads (including additional work-related payments). It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for school heads aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency)</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires réels des chefs d'établissement (y compris les paiements supplémentaires liés au travail). Il couvre les chefs d'établissement à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les chefs d'établissement âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par groupe d'âge, par sexe (pour les enseignants âgés de 25 à 64 ans uniquement) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'âge et sexe 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' actual salaries - Subnational entities Salaires effectifs des chefs d’établissement - Entités infranationales <p>This dataset contains data on actual salaries of school heads (including additional work-related payments) in subnational entities of some countries. It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for school heads aged 25-64. The selection can be changed to display data in national currency.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires réels des chefs d'établissement (y compris les paiements supplémentaires liés au travail) dans les entités infranationales de certains pays. Il couvre les chefs d'établissement à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les chefs d'établissement âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données en monnaie nationale.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;COMBINED_AGE_SEX:AGE,SEX;BASE_PER:BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_AGE_SEX:Age group and sex;BASE_PER:Reference year of earnings data COMBINED_MEASURE:Mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe;BASE_PER:Année de référence utilisée pour les rémunérations d'actifs occupés 0.999999999 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' actual salaries relative to workers' earnings Salaires effectifs des chefs d’établissement relatif à la rémunération des actifs occupés <p>This dataset compares actual salaries of school heads (including additional work-related payments) with earnings of tertiary-educated workers. It covers full-time school heads in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data for school heads aged 25-64. The default table displays data on actual salaries relative to earnings of tertiary-educated workers. The selection can be changed to display data by age group or by gender (for teachers aged 25-64 only).</p><p>The selection can also be changed to display data on actual salaries of teachers relative to earnings of similarly-educated workers.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données compare les salaires réels des chefs d'établissement (y compris les paiements supplémentaires liés au travail) avec les revenus des travailleurs diplômés de l'enseignement supérieur. Il couvre les chefs d'établissement à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données des chefs d'établissement âgés de 25 à 64 ans. Le tableau par défaut affiche les données sur les salaires réels par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par groupe d'âge ou par sexe (pour les enseignants âgés de 25 à 64 ans uniquement).</p><p>La sélection peut également être modifiée pour afficher les données sur les salaires réels des enseignants par rapport aux revenus des travailleurs ayant suivi un enseignement similaire.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,COMBINED_UNIT_MEASURE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'âge et sexe EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual salaries Salaires effectifs des enseignants <p>This dataset contains data on actual salaries of teachers (including additional work-related payments). It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>For historical data, see <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_ACT&df[ag]=OECD.EDU.IMEP&lc=en"><b>Trends in teachers’ actual salaries since 2000</b></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires réels des enseignants (y compris les paiements supplémentaires liés au travail). Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par groupe d'âge, par sexe (pour les enseignants âgés de 25 à 64 ans uniquement) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Pour les données historiques, voir <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_ACT&df[ag]=OECD.EDU.IMEP&lc=fr"><b>Évolution des salaires effectifs des enseignants depuis 2000</b></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE;COMBINED_AGE_SEX:AGE,SEX COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base;COMBINED_AGE_SEX:Age group and sex COMBINED_CURRENCY:Devise et base de prix;COMBINED_AGE_SEX:Groupe d'âge et sexe 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual salaries - Subnational entities Salaires effectifs des enseignants - Entités infranationales <p>This dataset contains data on actual salaries of teachers (including additional work-related payments) in subnational entities of some countries. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers aged 25-64. The selection can be changed to display data by age group, by gender (for teachers aged 25-64 only), and by currency unit (equivalent USD or national currency)</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires réels des enseignants (y compris les paiements supplémentaires liés au travail) dans les entités infranationales de certains pays. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par groupe d'âge, par sexe (pour les enseignants âgés de 25 à 64 ans uniquement) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV LAYOUT_COLUMN COMBINED_AGE_SEX LAYOUT_ROW_SECTION REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,AGE=Y25T64,SEX=_T DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;COMBINED_AGE_SEX:AGE,SEX;BASE_PER:BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_AGE_SEX:Age group and sex;BASE_PER:Reference year of earnings data COMBINED_MEASURE:Mesure combinée;COMBINED_AGE_SEX:Groupe d'âge et sexe;BASE_PER:Année de référence utilisée pour les rémunérations d'actifs occupés 0.999999999 SEARCH_WEIGHT EXT_RESOURCE Full dataset on actual salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires effectifs des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_ACT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual salaries relative to workers' earnings Salaires effectifs des enseignants relatif à la rémunération des actifs occupés <p>This dataset compares actual salaries of teachers (including additional work-related payments) with earnings of workers. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education. The default table displays data for teachers aged 25-64.</p><p>The default table displays data on actual salaries of teachers relative to earnings of tertiary-educated workers. The selection can be changed to display data by age group or by gender (for teachers aged 25-64 only).</p><p>The selection can also be changed to display data on actual salaries of teachers relative to earnings of similarly-educated workers.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données compare les salaires réels des enseignants (y compris les paiements supplémentaires liés au travail) avec les revenus des travailleurs. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles). Le tableau par défaut affiche les données pour les enseignants âgés de 25 à 64 ans.</p><p>Le tableau par défaut affiche les données sur les salaires réels des enseignants par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par groupe d'âge ou par sexe (pour les enseignants âgés de 25 à 64 ans uniquement).</p><p>La sélection peut également être modifiée pour afficher les données sur les salaires réels des enseignants par rapport aux revenus des travailleurs ayant suivi un enseignement similaire.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true PERS_QUAL_LEV,PERS_EXP_LEV LAYOUT_ROW PERS_TYPE,EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION REF_PERIOD=2023,OBS_STATUS=A,UNIT_MULT,STATISTICAL_OPERATION=OBS NOT_DISPLAYED REF_AREA=OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999990 SEARCH_WEIGHT Statutory salaries of teachers and school heads - full dataset Salaires statutaires des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the statutory salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD average.</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur les salaires statutaires des enseignants et des chefs d'établissement.</p><p>Il couvre les enseignants et les chefs d'établissement travaillant à temps plein dans des établissements publics, travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles). La sélection par défaut affiche toutes les mesures disponibles de la moyenne de l'OCDE.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,UNIT_MULT NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,MEASURE=SAL_STA,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Statutory salary of teachers and school heads - full dataset Salaire statutaire des enseignants et des chefs d'établissement - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the statutory salaries of teachers and school heads.</p><p>It covers teachers and school heads working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les salaires statutaires des enseignants et des chefs d'établissements. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants et les chefs d'établissements travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,STATISTICAL_OPERATION LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,PRICE_BASE NOT_DISPLAYED UNIT_MEASURE=USD_PPP+FCTR_SAL_EXP0,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE;COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base;COMBINED_MEASURE:Combined measure COMBINED_CURRENCY_PRICE:Devise et base de prix;COMBINED_MEASURE:Mesure combinée School heads' statutory salary Salaire statutaire des chefs d’établissement <p>This dataset presents data on statutory salaries of school heads. It covers school heads working full time in public institutions, in pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires statutaires des chefs d'établissement. Il couvre les chefs d'établissement travaillant à temps plein dans des établissements publics, travaillant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,MEASURE,STATISTICAL_OPERATION LAYOUT_COLUMN OBS_STATUS=A,PERS_TYPE,PERS_QUAL_LEV,PRICE_BASE,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER;COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_REF_PERIOD:Reference years used for salaries of school heads and earnings of tertiary-educated workers;COMBINED_MEASURE:Combined measure COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des chefs d'établissement et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire;COMBINED_MEASURE:Mesure combinée School heads' statutory salary relative to earnings of tertiary-educated workers Salaire statutaire des chefs d'établissement relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares statutory salaries of school heads with earnings of tertiary-educated workers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires statutaires des chefs d'établissement relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les chefs d'établissements travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU25+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Teachers' statutory salary Salaire statutaire des enseignants <p>This dataset presents data on statutory salaries of teachers at different points of their careers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires statutaires des enseignants à différents stades de leur carrière. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,STATISTICAL_OPERATION,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,PERS_EXP_LEV=(EXP15+EXPMAX),PRICE_BASE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,STATISTICAL_OPERATION;UNIT_MEASURE:UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;UNIT_MEASURE:Unit of measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;UNIT_MEASURE:Unit of measure;EDUCATION_LEV:Niveau de l'enseignement Comparison of teachers' statutory salary Comparaison des salaires statutaires des enseignants <p>This dataset presents comparative indicators on statutory salaries of teachers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente des indicateurs comparatifs sur les salaires statutaires des enseignants. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD=2022,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,UNIT_MEASURE=USD_PPP,REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+GBR+UKB+UKL+UKM+UKN+USA+US01+US02+US04+US05+US06+US08+US09+US10+US11+US12+US13+US15+US16+US17+US18+US19+US20+US21+US22+US23+US24+US25+US26+US27+US28+US29+US30+US31+US32+US33+US34+US35+US36+US37+US38+US39+US40+US41+US42+US44+US45+US46+US47+US48+US49+US50+US51+US53+US54+US55+US56,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Teachers' statutory salary (subnational data) Salaire statutaire des enseignants (données infranationales) <p>This dataset presents data on statutory salaries of teachers at different points of their careers for some subnational entities. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente les salaires statutaires des enseignants à différents stades de leur carrière pour certaines régions infranationales. entités. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,PRICE_BASE,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_REF_PERIOD:REF_PERIOD,BASE_PER COMBINED_CONCEPTS COMBINED_REF_PERIOD:Reference years used for salaries of teachers and earnings of tertiary-educated workers COMBINED_REF_PERIOD:Années de référence utilisées pour les salaires des enseignants et les rémunérations d'actifs occupés diplômés de l’enseignement tertiaire Teachers' statutory salary relative to earnings of tertiary-educated workers Salaire statutaire des enseignants relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire <p>This dataset compares statutory salaries of teachers with earnings of tertiary-educated workers. It covers teachers working full time in public institutions, teaching pre-primary, primary and (lower and upper) secondary general education. Data refers to the reference year 2022 (school year 2021/22 or 2022), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données compare les salaires statutaires des enseignants relatif à la rémunération des actifs occupés diplômés de l’enseignement tertiaire. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2022 (année scolaire 2021/22 ou 2022), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW EDUCATION_LEV,MEASURE,COMBINED_UNIT_MEASURE LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,PERS_TYPE,UNIT_MULT,CURRENCY=_Z NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,UNIT_MEASURE=USD_PPP+FCTR_SAL_MIN DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE;COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_CURRENCY_PRICE:Devise et base de prix;COMBINED_UNIT_MEASURE:Unité de mesure combinée UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H HIER_CONTEXT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' statutory salaries Salaires statutaires des chefs d’établissement <p>This dataset contains data on statutory salaries of school heads. It covers full-time school heads with the minimum qualification, working in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD. The selection can be changed by currency unit (equivalent USD or national currency).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires statutaires des chefs d'établissement. Il couvre les chefs d'établissement à temps plein ayant la qualification minimale, travaillant dans des établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données en équivalent USD. La sélection peut être modifiée par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,BASE_PER LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV,STATISTICAL_OPERATION LAYOUT_COLUMN REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,OBS_STATUS=A,PERS_TYPE,CURRENCY,PRICE_BASE,UNIT_MULT,PERS_QUAL_LEV,PERS_EXP_LEV NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée 0.999999998 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP School heads' statutory salaries relative to workers' earnings Salaires statutaires des chefs d'établissement relatif à la rémunération des actifs occupés <p>This dataset compares statutory salaries of school heads with earnings of tertiary-educated workers. It covers full-time school heads with the minimum qualification, working in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The table displays data on statutory salaries of school heads relative to earnings of tertiary-educated workers.</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données compare les salaires statutaires des chefs d'établissement avec les revenus des travailleurs diplômés de l'enseignement supérieur. Il couvre les chefs d'établissement à temps plein ayant la qualification minimale, travaillant dans des établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau présente des données sur les salaires statutaires des chefs d'établissement par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,STATISTICAL_OPERATION,PERS_TYPE,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base COMBINED_CURRENCY:Devise et base de prix EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory salaries Salaires statutaires des enseignants <p>This dataset contains data on statutory salaries of teachers at different points of their careers (starting salary, salaries after 10 and 15 years of experience, and salary at the top of the salary scale). It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers with the most prevalent qualification at each stage of career (in the reference year). The selection can be changed to display data by qualification level of teachers (minimum, most prevalent or maximum) and by currency unit (equivalent USD or national currency).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>For historical data, see <a href="https://data-explorer.oecd.org/vis?fs[0]=Topic%2C1%7CEducation%20and%20skills%23EDU%23%7CTeachers%23EDU_TEA%23&pg=20&fc=Topic&bp=true&snb=26&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_STA&df[ag]=OECD.EDU.IMEP&lc=en"><b>Trends in teachers’ statutory salaries since 2000</b></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires statutaires des enseignants à différents moments de leur carrière (salaire de départ, salaires après 10 et 15 ans d'expérience et salaire au sommet de l'échelle salariale). Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants ayant la qualification la plus répandue à chaque stade de carrière (dans l'année de référence). La sélection peut être modifiée pour afficher les données par niveau de qualification des enseignants (minimum, le plus répandu ou maximum) et par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Pour les données historiques, voir <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=26&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_SAL_TREND%40DF_TCH_STA&df[ag]=OECD.EDU.IMEP&lc=fr"><b>Évolution des salaires statutaires des enseignants depuis 2000</b>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,COMBINED_UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,OBS_STATUS=A,UNIT_MEASURE,STATISTICAL_OPERATION=OBS,UNIT_MULT,CURRENCY,PRICE_BASE,PERS_TYPE,PERS_EXP_LEV NOT_DISPLAYED PERS_QUAL_LEV=TYP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Change in teachers' statutory salaries over the career Évolution du salaire statutaire des enseignants au cours de la carrière <p>This dataset contains indicators to change in statutory salaries of teachers over the career. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data the ratio of salary at the top of scale to salary at the start of the career and on the years to reach salary at the top of scale with the most prevalent qualification to enter the profession. The selection can be changed to display data by qualification level of teachers (minimum qualification to enter the profession or the most prevalent to enter the profession).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des indicateurs sur l'évolution des salaires statutaires des enseignants au cours de la carrière. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données sur le ratio du salaire au sommet de l'échelle au salaire en début de carrière et sur les années nécessaires pour atteindre le salaire au sommet de l'échelle avec la qualification la plus répandue pour accéder à la profession. La sélection peut être modifiée pour afficher les données par niveau de qualification des enseignants (qualification minimale pour accéder à la profession ou la plus répandue pour accéder à la profession).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY LAYOUT_ROW EDUCATION_LEV,PERS_EXP_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,CURRENCY=_Z,MEASURE NOT_DISPLAYED UNIT_MEASURE=USD_PPP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP DEFAULT COMBINED_CURRENCY:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY:Currency and price base COMBINED_CURRENCY:Devise et base de prix 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory salaries - Subnational entities Salaires statutaires des enseignants - Entités infranationales <p>This dataset contains data on statutory salaries of teachers with the most prevalent qualification at different points of their careers in subnational entities of some countries. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data in equivalent USD for teachers at each stage of career. The selection can be changed by currency unit (equivalent USD or national currency).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les salaires statutaires des enseignants ayant la qualification la plus répandue à différents moments de leur carrière dans les entités infranationales de certains pays. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données en équivalent USD pour les enseignants à chaque stade de carrière. La sélection peut être modifiée par unité monétaire (équivalent USD ou monnaie nationale).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW COMBINED_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD,BASE_PER LAYOUT_NOTE REF_PERIOD=2023,BASE_PER=2022,OBS_STATUS=A,PERS_TYPE,CURRENCY,PRICE_BASE,UNIT_MULT,STATISTICAL_OPERATION NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,PERS_QUAL_LEV=TYP_EXP,PERS_EXP_LEV=EXP15 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV;BASE_PER:BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level;BASE_PER:Reference year of earnings data COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement;BASE_PER:Année de référence utilisée pour les rémunérations d'actifs occupés 0.999999998 SEARCH_WEIGHT EXT_RESOURCE Full dataset on statutory salaries of teachers and school heads|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de salaires statutaires des enseignants et des chefs d'établissement|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_SAL_STA%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory salaries relative to workers' earnings Salaires statutaires des enseignants relatif à la rémunération des actifs occupés <p>This dataset compares statutory salaries of teachers with earnings of workers. It covers full-time teachers, in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays data on statutory salaries of teachers (with the most prevalent qualification after 15 years of experience) relative to earnings of tertiary-educated workers. The selection can be changed to display data by qualification level of teachers (the most prevalent qualification <b>to enter the profession</b> or the most prevalent qualification <b>after 15 years of experience</b>), by experience level (only for the most prevalent qualification to enter the profession) and by comparison group (tertiary-educated workers or similarly educated workers).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données compare les salaires statutaires des enseignants avec les revenus des travailleurs. Il couvre les enseignants à temps plein, dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (inférieur et supérieur).</p><p>Le tableau par défaut affiche les données sur les salaires statutaires des enseignants (avec la qualification la plus répandue après 15 ans d'expérience) par rapport aux revenus des travailleurs diplômés de l'enseignement supérieur. La sélection peut être modifiée pour afficher les données par niveau de qualification des enseignants (la qualification la plus répandue <b>pour accéder à la profession</b> ou la qualification la plus répandue <b>après 15 ans d'expérience</b>), par niveau d'expérience (uniquement pour la qualification la plus répandue pour accéder à la profession) et par groupe de comparaison (travailleurs diplômés de l'enseignement supérieur ou travailleurs ayant suivi une formation similaire).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE NOT_DISPLAYED REF_AREA=OECD+OECD_REP,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT 0.999999990 SEARCH_WEIGHT Trends in teachers' salaries - full dataset Évolution des salaires des enseignants - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on salaries of teachers since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education. The default selection shows all available measures of the OECD averages.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur les salaires des enseignants depuis 2000. Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycles). La sélection par défaut affiche toutes les mesures disponibles des moyennes de l'OCDE.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ actual salary since 2000 Évolution des salaire effectif des enseignants depuis 2000 <p>This dataset presents a trend of actual salaries of teachers (including additional work-related payments) since 2000. It covers teachers aged 25-64, working full time in public institutions, and teaching in pre-primary, primary and (lower and upper) secondary general education.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente une tendance des salaires effectifs des enseignants (y compris les paiements supplémentaires liés au travail) depuis 2000. Il couvre les enseignants âgés de 25 à 64 ans, travaillant à temps plein dans des établissements publics et enseignant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle).</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book #"><i>Regard sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT Trends in teachers' salary - full dataset Évolution des salaire des enseignants - ensemble de données complet <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on the trend data for salaries of teachers.</p><p>It covers teachers working full time in public institutions, working in pre-primary, primary and (lower and upper) secondary general education. Data is available from the reference year 2000.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les évolutions des salaires des enseignants. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données sont disponible depuis l'année de référence 2000.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org /sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE NOT_DISPLAYED PERS_QUAL_LEV=TYP_EXP,EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ statutory salary since 2000 Évolution des salaire statutaire des enseignants depuis 2000 <p>This dataset presents a trend of statutory salaries of teachers since 2000. It covers teachers working full time in public institutions, teaching in pre-primary, primary and (lower and upper) secondary general education.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2023</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html?itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. <p>Cet ensemble de données présente une tendance des salaires statutaires des enseignants depuis 2000. Il couvre les enseignants travaillant à plein temps dans des établissements publics, enseignant dans l'enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle).</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary. org/sites/e13bef63-en/1/3/5/2/index.html?itemId=/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book#"><i>Regards sur l'éducation 2023</i ></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd-ilibrary.org/sites/d30f0e42-en/index.html? itemId=/content/component/d30f0e42-en#section-d1e12827-cde8c64f06"><i>Regard sur l'éducation 2023 Sources, méthodologies et notes techniques</i> (en anglais)</a>. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE,MEASURE,PERS_QUAL_LEV,PERS_EXP_LEV NOT_DISPLAYED EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ actual salaries since 2000 Évolution des salaires effectifs des enseignants depuis 2000 <p>This dataset contains a trend of actual salaries of teachers (including additional work-related payments) since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays index of change in actual salaries of teachers in primary education aged 25-64. The selection can be changed to display data by education level, and data in national currency.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données présente l'évolution des salaires réels des enseignants (y compris les paiements supplémentaires liés au travail) depuis 2000. Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche l'indice de variation des salaires réels des enseignants de l'enseignement primaire âgés de 25 à 64 ans. La sélection peut être modifiée pour afficher les données par niveau d'éducation et les données en monnaie nationale.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA,COMBINED_CURRENCY_PRICE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT,PERS_TYPE,MEASURE,PERS_EXP_LEV NOT_DISPLAYED EDUCATION_LEV=ISCED11_1,UNIT_MEASURE=IX,PERS_QUAL_LEV=TYP_EXP DEFAULT COMBINED_CURRENCY_PRICE:CURRENCY,PRICE_BASE COMBINED_CONCEPTS COMBINED_CURRENCY_PRICE:Currency and price base COMBINED_CURRENCY_PRICE:Devise et base de prix Trends in teachers’ statutory salaries since 2000 Évolution des salaires statutaires des enseignants depuis 2000 <p>This dataset contains a trend of statutory salaries of teachers since 2000. It covers full-time teachers in public institutions in pre-primary, primary and (lower and upper) secondary general education.</p><p>The default table displays index of change in statutory salaries of teachers in primary education after 15 years of experience with the most prevalent qualification at this stage of the career. The selection can be changed to display data by education level and by qualification level, and data in national currency.</p>><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données présente l'évolution des salaires statutaires des enseignants depuis 2000. Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire et secondaire général (premier et deuxième cycles).</p><p>Le tableau par défaut affiche l'indice de variation des salaires statutaires des enseignants de l'enseignement primaire après 15 ans d'expérience avec la qualification la plus répandue à ce stade de la carrière. La sélection peut être modifiée pour afficher les données par niveau d'éducation et par niveau de qualification, ainsi que les données en monnaie nationale.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EDUCATION_LEV LAYOUT_COLUMN COUNTRY LAYOUT_ROW_SECTION LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_1T3+ISCED11_1T8+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_5T8+ISCED11_5T8+ISCED11_6T8,TIME_PERIOD_START=2022,TIME_PERIOD_END=2022,EXP_SOURCE=_T,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V,UNIT_MEASURE=USD_PPP_ST DEFAULT COMBINED_REF_AREA:REF_AREA,COUNTRY COMBINED_CONCEPTS COMBINED_REF_AREA:Reference area COMBINED_REF_AREA:Area combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT REF_AREA:OECD.EDU.IMEP:HCL_SUBNAT(1.0).H_EN REF_AREA:OECD.EDU.IMEP:HCL_SUBNAT(1.0).H_FR 1.00015 SEARCH_WEIGHT Subnational total expenditure on educational institutions per full-time equivalent student Dépenses unitaires d'éducation en équivalents temps plein This dataset contains subnational data on expenditure per full-time equivalent student. The default table displays data for lastest data collection reference year in current USD PPP, from all expenditure sources. The selection can be changed to display data by year. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category. </p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données infranationales sur les dépenses par étudiant équivalent temps plein. Le tableau par défaut affiche les données pour l'année qui correspond à la collecte de données la plus récente en dollars courants des É-U PPA convertis et provenant de toutes les sources de dépenses. La sélection peut être modifiée pour afficher les données par année. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie. </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW Q_SHEET,TIME_PERIOD,EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,Q_SHEET,Q_SHEET_ROW_ID,LAST_MODIFIED,LAST_UPDATE,NUMERATOR_CATEGORY,NUMERATOR_VALUE,DENOMINATOR_CATEGORY,DENOMINATOR_VALUE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8+ISCED11_1T4+ISCED11_5T8,EXP_SOURCE=S13,PRICE_BASE=_Z,TIME_PERIOD_START=2015,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H HIER_CONTEXT 1.00013 SEARCH_WEIGHT Share of total government expenditure on education Part des dépenses publiques totales consacrées à l’éducation This dataset contains data on the share of total government expenditure devoted to education. The default table displays the total government expenditure on education as a share of the total government expenditure on all services by level of education. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://doi.org/10.1787/c00cad36-en"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données sur la part des dépenses publiques totales consacrées à l'éducation. Le tableau par défaut affiche les dépenses publiques totales pour l'éducation en proportion des dépenses publiques totales pour tous les services par niveau d'éducation. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie.</p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,Q_SHEET_ROW_ID,LAST_MODIFIED,LAST_UPDATE,NUMERATOR_CATEGORY,NUMERATOR_VALUE,DENOMINATOR_CATEGORY,DENOMINATOR_VALUE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8+ISCED11_1T4+ISCED11_5T8,MEASURE=EXP,EXP_SOURCE=S13,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V,Q_SHEET=SOURCE,TIME_PERIOD_START=2023,TIME_PERIOD_END=2023,UNIT_MEASURE=XDC DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.0001 SEARCH_WEIGHT Full dataset - Indicators, source, destination and nature of expenditure on education Ensemble de données complet - Indicateurs, source, destination et nature des dépenses d'éducation The purpose of this dataset is for download in CSV format. A default selection shows government expenditure on educational institutions simply to accelerate the display and loading of the data.</p><p> The dataset contains all indicators as well as the full raw data on the source, destination and nature of expenditure on education in local currency and in USD PPP, in constant and current prices. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données a pour objectif le téléchargement au format CSV. Une sélection par défaut affiche les dépenses publiques consacrées aux établissements d'enseignement simplement pour accélérer l'affichage et le chargement des données. </p><p> L'ensemble de données contient tous les indicateurs ainsi que les données brutes complètes sur la source, la destination et la nature des dépenses d'éducation en monnaie locale et en USD PPA, en prix constants et courants. </p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true 1.00009 SEARCH_WEIGHT Allocation of expenditure (from all sources) - full dataset Nature des dépenses (toutes sources confondues) - ensemble de données complet The purpose of this dataset is for download in CSV format. It contains the full raw data on the allocation of expenditure in local currency and in USD PPP, in constant and current prices. There is no filter nor default view for this dataset, browsing the data may therefore be slow.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/4/index.html?itemId=%20/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book"><i>Education at a Glance 2023</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur la répartition des dépenses en monnaie locale et en dollars des É-U PPA convertis, en prix constants et courants. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/education/regards-sur-education/"><i>Regards sur l'éducation 2023</i></a>. De plus amples détails sur la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles sur <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Regards sur l'éducation 2023 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW TIME_PERIOD,EXPENDITURE_TYPE LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,Q_SHEET_ROW_ID,LAST_MODIFIED,LAST_UPDATE,NUMERATOR_CATEGORY,NUMERATOR_VALUE,DENOMINATOR_CATEGORY,DENOMINATOR_VALUE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,UNIT_MEASURE=USD_PPP,PRICE_BASE=Q,INST_TYPE_EDU=_T,EXPENDITURE_TYPE=CUR+CAP,EXP_DESTINATION=INST_EDU,TIME_PERIOD_START=2015,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00012 SEARCH_WEIGHT Capital and total current expenditure on education (from all sources) Dépenses en capital et dépenses courantes totales d'éducation (toutes sources confondues) This dataset contains data on capital and current expenditure on education. The default table displays data in 2020 constant USD PPP, for the combined primary to tertiary levels of education, and for both public and private educational institutions combined. This can be changed to display data by: level of education, type of educational institution, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données sur les dépenses en capital et courantes en matière d'éducation. Le tableau par défaut affiche les données en dollars des É-U PPA convertis constants de 2020, pour les niveaux d'enseignement primaire à tertiaire combinés et pour les établissements d'enseignement publics et privés combinés. Cela peut être modifié pour afficher les données par : niveau d'éducation, type d'établissement d'enseignement, devise locale/dollars des É-U PPA convertis et prix courants/constants. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie.</p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA,EDUCATION_LEV LAYOUT_ROW TIME_PERIOD,EXPENDITURE_TYPE LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,Q_SHEET_ROW_ID,Q_SHEET,LAST_MODIFIED,LAST_UPDATE,NUMERATOR_CATEGORY,NUMERATOR_VALUE,DENOMINATOR_CATEGORY,DENOMINATOR_VALUE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,UNIT_MEASURE=USD_PPP,PRICE_BASE=Q,EXPENDITURE_TYPE=CUR_LC+CUR_RET+CUR_NLC,EXP_DESTINATION=INST_EDU_PUB+INST_EDU_PRIV_GOV,TIME_PERIOD_START=2015,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00011 SEARCH_WEIGHT Expenditure on staff compensation in educational institutions (from all sources) Dépenses de rémunération du personnel en éducation (toutes sources confondues) This dataset contains data on staff compensation in educational institutions. The default table displays information on expenditure for salaries, pensions and other non-salary benefits in 2020 constant USD PPP, for the combined primary to tertiary levels of education, for public and government dependent private institutions. This can be changed to display data by: level of education, type of institution, type of expenditure, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données sur la rémunération du personnel dans les établissements d'enseignement. Le tableau par défaut affiche des informations sur les dépenses en salaires, pensions et autres avantages non salariaux en dollars des É-U PPA convertis constants de 2020, pour les niveaux combinés d'enseignement primaire et supérieur, pour les établissements publics et privés dépendant du gouvernement. Cela peut être modifié pour afficher les données par : niveau d'éducation, type d'établissement, type de dépense, monnaie locale/USD PPA et prix courants/constants. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie.</p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true 1.00010 SEARCH_WEIGHT Source and destination of expenditure - full dataset Source et destination des dépenses - ensemble de données complet The purpose of this dataset is for download in CSV format. It contains the full raw data on the source and destination of expenditure in local currency and in USD PPP, in constant and current prices. There is no filter nor default view for this dataset, browsing the data may therefore be slow.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/4/index.html?itemId=%20/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book"><i>Education at a Glance 2023</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur la source et la destination des dépenses en monnaie locale et en dollars des É-U PPA convertis, en prix constants et courants. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/education/regards-sur-education/"><i>Regards sur l'éducation 2023</i></a>. De plus amples détails sur la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles sur <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Regards sur l'éducation 2023 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EXP_SOURCE LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT,Q_SHEET_ROW_ID,Q_SHEET=(_Z+SOURCE+NATURE),LAST_MODIFIED,LAST_UPDATE,NUMERATOR_CATEGORY,NUMERATOR_VALUE,DENOMINATOR_CATEGORY,DENOMINATOR_VALUE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,EXP_SOURCE=_T+S13+S1D_NON_EDU+S2,EXP_DESTINATION=INST_EDU,PRICE_BASE=Q+_Z,BASE_PER=2015,UNIT_MEASURE=USD_PPP+PT_EXP+PT_B1GQ,TIME_PERIOD_START=2015,TIME_PERIOD_END=2023 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00014 SEARCH_WEIGHT Distribution of government, private and non-domestic expenditure on educational institutions Répartition des dépenses gouvernementales, privées et internationales consacrées aux établissements d'enseignement This dataset contains data on government, private and expenditure on educational institutions. Government expenditure can be brokendown by central, regional (state) and local levels of government. Private sector can also be brokendown by households and other non-educational private sector. Expenditure are reported after transfers between entities, transfers can be from higher to lower levels of government, from the government to the private sector, or from non-domestic source to the government. The default table displays expenditure for the general government, the private sector and non-domestic sources in 2020 constant USD PPP (top section), in percentage of GDP (middle section), and in percentage (distribution by sector, in the bottom section), for the combined primary to tertiary levels of education, and for all public and private educational institutions. This can be changed to display data by: level of education, type of educational institution, level of financing source, local currency/USD PPP, and current/constant prices. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category. </p><p> Please note that non-domestic expenditure is labelled "Rest of the world".</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données sur les dépenses publiques, privées et internationales consacrées aux établissements d'enseignement. Les dépenses publiques peuvent être ventilées par niveaux de gouvernement central, régional et local. Le secteur privé peut également être ventilé entre les ménages et les autres secteurs privés non éducatifs. Les dépenses sont déclarées après transferts entre entités, les transferts peuvent provenir des niveaux supérieurs de gouvernement vers les niveaux inférieurs de gouvernement, du gouvernment vers le secteur privé, ou d'une source internationale vers le gouvernement. Le tableau par défaut affiche les dépenses gouvernementales, du secteur privé et des sources internationales en dollars des É-U PPA constants de 2020 (section supérieure), en pourcentage du PIB (section centrale), et en pourcentage (répartition par secteur, dans la section inférieure), pour les niveaux d'enseignement primaire à tertiaire combinés, et pour les établissements d’enseignement publics et privés combinés. Cela peut être modifié pour afficher les données par : niveau d'éducation, type d'établissement d'enseignement, source de financement plus détaillée, devise locale/dollars des É-U PPA convertis et prix courants/constants. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie </p><p> Veuillez noter que les dépenses internationales sont identifiées comme « Reste du monde ».</p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EXP_SOURCE LAYOUT_COLUMN LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8,EXP_SOURCE=_T+S13+S1D_NON_EDU+S2,EXP_DESTINATION=INST_EDU,TIME_PERIOD_START=2015,TIME_PERIOD_END=2020 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00011 SEARCH_WEIGHT Expenditure on educational institutions as a percentage of GDP Dépenses d'éducation en pourcentage du PIB This dataset contains data on expenditure on educational institutions as a percentage of GDP. The default table displays expenditure for the general government, the private sector and non-domestic sources, for the combined primary to tertiary levels of education, and for all public and private educational institutions. This can be changed to display data by: level of education, and type of educational institution.</p><p> Please note that non-domestic expenditure is labelled "Rest of the world".</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/e13bef63-en/1/3/4/index.html?itemId=%20/content/publication/e13bef63-en&_csp_=a4f4b3d408c9dd70d167f10de61b8717&itemIGO=oecd&itemContentType=book"><i>Education at a Glance 2023</i></a>. Additional details regarding the methodology used, references to the sources, and specific notes for each country can be found in <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Education at a Glance 2023 Sources, Methodologies and Technical Notes</i></a>. Cet ensemble de données contient des données sur les dépenses consacrées aux établissements d'enseignement en pourcentage du PIB. Le tableau par défaut affiche les dépenses pour les administrations publiques, le secteur privé et les sources internationales, pour les niveaux d'enseignement primaire à tertiaire combinés et pour tous les établissements d'enseignement publics et privés combinés. Cela peut être modifié pour afficher les données par : niveau d'éducation et type d'établissement d'enseignement.</p><p> Veuillez noter que les dépenses de source internationale sont identifiées comme « Reste du monde ».</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/education/regards-sur-education/"><i>Regards sur l'éducation 2023</i></a>. De plus amples détails sur la méthodologie utilisée, les références aux sources et les notes spécifiques à chaque pays sont disponibles sur <a href="https://www.oecd-ilibrary.org/sites/301fa18e-en/index.html?itemId=/content/component/301fa18e-en"><i>Regards sur l'éducation 2023 Sources, méthodologies et notes techniques</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EDUCATION_LEV LAYOUT_COLUMN COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,Q_SHEET_ROW_ID,LAST_MODIFIED,LAST_UPDATE,NUMERATOR_CATEGORY,NUMERATOR_VALUE,DENOMINATOR_CATEGORY,DENOMINATOR_VALUE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_5T8+ISCED11_6T8+ISCED11_1T8,TIME_PERIOD_START=2023,TIME_PERIOD_END=2023,EXP_SOURCE=_T,EXP_DESTINATION=INST_EDU,EXPENDITURE_TYPE=DIR_EXP,PRICE_BASE=V+_Z,UNIT_MEASURE=USD_PPP_ST+PT_B1GQ_POP DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée EXP_SOURCE:OECD.EDU.IMEP:HCL_SECTOR_EDU(1.0).H,EDUCATION_LEV:OECD.EDU.IMEP:HCL_ISCED(1.0).H,EXPENDITURE_TYPE:OECD.EDU.IMEP:HCL_RD(1.0).H HIER_CONTEXT 1.00015 SEARCH_WEIGHT Expenditure on educational institutions per full-time equivalent student Dépenses unitaires d'éducation en équivalents temps plein This dataset contains data on expenditure per full-time equivalent student and per full-time equivalent student as a percentage of GPD per capita. The default table displays data for lastest data collection reference year in current USD PPP and as a percentage of GDP per capita, from all expenditure sources, and unfiltered by type of expenditure. The selection can be changed to display data: by year, by source of expenditure, by destination of expenditure and by type of expenditure. Please note that the filters are inter related, meaning that selection in one category may impact the possibility to select options in another category. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données sur les dépenses par étudiant équivalent temps plein et par étudiant équivalent temps plein en pourcentage du PIB par habitant. Le tableau par défaut affiche les données pour l'année qui correspond à la collecte de données la plus récente en dollars courants des É-U PPA convertis et en pourcentage du PIB par habitant, provenant de toutes les sources de dépenses, et non filtrées par type de dépenses. La sélection peut être modifiée pour afficher les données : par année, par source de dépenses, par destination de dépenses et par type de dépenses. Veuillez noter que les filtres sont interdépendants, ce qui signifie que la sélection dans une catégorie peut avoir un impact sur la possibilité de sélectionner des options dans une autre catégorie. </p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,SOURCE_DATA,LAST_MODIFIED,LAST_UPDATE NOT_DISPLAYED COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Reference statistics for education finance indicators Statistiques de référence pour les indicateurs de dépenses d'éducation This dataset contains reference statistics that are used in the calculation of education expenditure data. This dataset includes information on Gross domestic product (GDP), GDP per capita, GDP adjusted to the education finance data, on Purchasing Power Parities for GDP, on GDP deflator, on population, and on government expenditure on all services. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p> For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des statistiques de référence qui sont utilisées dans le calcul des données sur les dépenses d'éducation. Cet ensemble de données comprend des informations sur le produit intérieur brut (PIB), le PIB par habitant, le PIB ajusté aux données de financement de l'éducation, sur les parités de pouvoir d'achat pour le PIB, sur le PIB. déflateur, sur la population et sur les dépenses publiques pour tous les services. </p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,INTENSITY LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3 LAYOUT_FLAG LAYOUT_TIME_PERIOD_DESC LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,OBS_STATUS_2=A,OBS_STATUS_3=A,UNIT_MULT=0,Q_SHEET_ROW_ID,LAST_MODIFIED,LAST_UPDATE NOT_DISPLAYED EDUCATION_LEV=ISCED11_1T8 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Enrolment data adjusted to the financial year Nombre d'élèves inscrits ajusté à l'exercice financier This dataset contains data on enrolment data adjusted to the financial year. This information is only used to calculate the expenditure per student and is provided as a reference statistics. It should NOT be used as the official enrolment figures. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026.</p><p>For more information, please consult the <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a> web page. Cet ensemble de données contient des données sur le nombre d'élèves inscrits ajustés à l'exercice financier. Ces informations sont utilisées uniquement pour calculer les dépenses par élève et sont fournies à titre de statistiques de référence. Elles ne doivent PAS être utilisées comme chiffres officiels du nombre d'élèves inscrits. </p><p>Les données pour l'année la plus récente sont préliminaires. Les données finales seront publiées le 29 septembre 2026 </p><p>Pour plus d'informations, veuillez consulter la page web <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regard sur l'éducation</i></a> et le <a href="https://doi.org/10.1787/9789264305380-fr"><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=Y_LT30+Y30T49+Y_GE50 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Share of teachers by age range Répartition d’enseignants par groupe d’âge This dataset contains data on the share of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by age range. The default table displays data for the latest available year and a subset of education levels. The selection can be changed to display data: by year, other levels of education and sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des enseignants (CITE 0-4) et du personnel académique (CITE 5-8) par groupe d'âge. Le tableau par défaut affiche les données de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement et sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW INST_TYPE_EDU LAYOUT_COLUMN EDUCATION_LEV LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T DEFAULT Average class size Taille moyenne des classes This dataset contains data on the average class size by type of institution. The default table displays data for the latest available year. The selection can be changed to display data by year. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la taille moyenne des classes par type d'établissement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=_T+Y_LT25+Y25T29+Y30T34+Y35T39+Y40T44+Y45T49+Y50T54+Y55T59+Y60T64+Y_GE65+_U,UNIT_MEASURE=PS DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of classroom teachers and academic staff by age Nombre d'enseignants et du personnel académique par âge This dataset contains data on the number of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by age. The default table displays data for the latest available year and for a subset of education levels. The selection can be changed to display data: by year, other levels of education and sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'enseignants (CITE 0-4) et de personnel académique (CITE 5-8) par âge. Le tableau par défaut affiche les données de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement et sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW INST_TYPE_EDU LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,INTENSITY=_T DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of classroom teachers and academic staffs by type of institution Nombre d'enseignants et du personnel académique selon le type d’établissement This dataset contains data on the number of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by type of institution. The default table displays data for the latest available year and a subset of education levels. The selection can be changed to display data: by year, other levels of education, intensity and sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'enseignants (CITE 0-4) et de personnel académique (CITE 5-8) par type d'établissement. Le tableau par défaut affiche les données de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, intensité et sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,INTENSITY LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,UNIT_MEASURE=PS DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of teacher aides Nombre des aides-enseignants This dataset contains data on the number of teacher aides (ISCED 0-3). The default table displays data for the latest available year. The selection can be changed to display data: by year and sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre des aides-enseignants (CITE 0-3). Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8,AGE=Y_LT30+Y30T49+Y_GE50,SEX=F DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Share of teachers by gender and age range Part d’enseignants selon le sexe et par groupe d'âge This dataset contains data on the share of classroom teachers (ISCED 0-4) and academic staff (ISCED 5-8) by gender and age range. The default table displays data for the latest available year, for women and for a subset of education levels and age groups. The selection can be changed to display data: by year, other levels of education/age groups and men. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des enseignants (CITE 0-4) et du personnel académique (CITE 5-8) par sexe et groupe d'âge. Le tableau par défaut affiche les données de 2022 pour les femmes et pour un sous-ensemble de niveaux d'éducation et de groupes d'âge. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'éducation/groupes d'âge et hommes. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6T8+ISCED11_5T8 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Ratio of students to teaching staff by type of institution Nombre d’élèves/étudiants par enseignant selon le type d’établissement This dataset contains data on the ratio of students to classroom teachers (ISCED 0-4) or academic staff (ISCED 5-8) by type of institution. The default table displays data for the latest available year. The selection can be changed to display data by year. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves/enseignants (CITE 0-4) ou personnel académique (CITE 5-8) par type d'établissement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,INTENSITY=_T,UNIT_MEASURE=PS DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV_PERS(1.0).H HIER_CONTEXT Number of students adjusted to classroom teachers and academic staffs by type of institution Nombre d'élèves ajustés pour les enseignants et du personnel académique selon le type d’établissement This dataset contains data on the number of students adjusted to classroom teachers and academic staffs by type of institution. The default table displays 2022 data. The selection can be changed to display data by year. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves ajustés pour les enseignants et du personnel académique selon le type d’établissement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true Teachers (full database) NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_5T8+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=GRAD,TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10+_TX_U,SEX=_T,MOBILITY=_T DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV(1.0).H HIER_CONTEXT Distribution of enrolled students, new entrants and graduates by field of education Répartition des élèves inscrits, des nouveaux inscrits (entrants) et des diplômés par domaine d'études This dataset contains data on the distribution of enrolled students, new entrants and graduates by field of education. The default table displays graduates data for the latest available year and for the main fields of education and tertiary levels of education. The selection can be changed to display data: by year, other education levels, subset of fields of education, mobility status, sex and measure (students enrolled, new entrants). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la répartition des élèves inscrits, des nouveaux inscrits (entrants) et des diplômés par domaine d'études. Le tableau par défaut affiche les données sur les diplômés de 2022 pour les principaux domaines d'études et les niveaux d'enseignement supérieur. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, sous-ensemble de domaines d'études, statut de mobilité, sexe et mesure (étudiants inscrits, nouveaux inscrits). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026.</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,SEX LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T+F+M,MEASURE=RPTR,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Repetition rate by level of education Taux de redoublement par niveau d'enseignement This dataset contains data on the repetition rate by level of education. The default table displays data for the latest available year. The selection can be changed to display data by year. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le taux de redoublement par niveau d'enseignement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_25+ISCED11_35+ISCED11_45+ISCED11_55 DEFAULT Distribution of students in vocational education and training programmes by level of education Répartition des étudiants dans les programmes d'enseignement et de formation professionnels (EFP) par niveau d'enseignement This dataset contains data on the distribution of students in vocational education and training programmes by level of education. The default table displays data for the latest available year. The selection can be changed to display data: by year and by sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la répartition des étudiants dans les programmes d'enseignement et de formation professionnels (EFP) par niveau d'enseignement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW AGE LAYOUT_COLUMN OBS_STATUS=A,FREQ,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED EDUCATION_LEV=_T,AGE=Y_LT3+Y3T5+Y6T14+Y15T19+Y20T24+Y25T29,TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T DEFAULT Enrolment rate by age Taux de scolarisation par âge This dataset contains data on enrolment rate by age. The default table displays data for all levels of education, for the the latest available year and for a subset of age groups. The selection can be changed to display data: by year, sex and other age groups. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le taux de scolarisation par âge. Le tableau par défaut affiche les données pour tous les niveaux d'enseignement, pour l'année 2022 et pour un sous-ensemble de groupes d'âge. La sélection peut être modifiée pour afficher les données : par année, par sexe et par autres groupes d'âge. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=NENT+GRAD,SEX=_T,MOBILITY=_T DEFAULT Mean age of enrolled students, new entrants and graduates Âge moyen des élèves/étudiants inscrits, des nouveaux inscrits (entrants) et des diplômés This dataset contains data on mean age of enrolled students, new entrants and graduates. The default table displays graduates and new entrants data for the latest available year and for diferent tertiary levels of education. The selection can be changed to display data: by year, other levels of education, sex, mobility status and measure (enrolments). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur l'âge moyen des élèves/étudiants inscrits, des nouveaux inscrits (entrants) et des diplômés. Le tableau par défaut affiche les données sur les diplômés et les nouveaux inscrits de 2022 pour différents niveaux d'enseignement supérieur. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, sexe, statut de mobilité et mesure (inscriptions). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ORIGIN LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,EDUCATION_LEVEL,ORIGIN,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T DEFAULT Share of national tertiary students enrolled abroad Part d'étudiants nationaux mobiles à l'étranger This dataset contains data on the share of national students going abroad. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part d'étudiants nationaux mobiles à l'étranger. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ORIGIN LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,EDUCATION_LEVEL,ORIGIN,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2023,SEX=_T DEFAULT Number of national tertiary students enrolled abroad Nombre d'étudiants nationaux mobiles à l'étranger This dataset contains data on the total number of mobile national students abroad. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'étudiants nationaux mobiles à l'étranger. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T DEFAULT Number of enrolled adults by age and level of education Nombre d'adultes inscrits par âge et niveau d'enseignement This dataset contains data on the number of enrolled adults by age and level of education. The default table displays data for the latest available year and all men and women. The selection can be changed to display data: by year and by sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'adultes inscrits par âge et par niveau d'enseignement. Le tableau par défaut affiche les données de 2022 pour tous les hommes et toutes les femmes. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true AGE LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,REF_AREA=AUS DEFAULT Number of enrolled students, new entrants and graduates by age Nombre d'élèves/étudiants inscrits, de nouvel inscrits (entrants) et de diplômés par âge This dataset contains data on the number of enrolled students, new entrants and graduates by age. The default table displays data on enrolled students in Australia for the latest available year and for a subset of education levels. The selection can be changed to display data: by year, reference area, mobility status, sex, age and measure (graduates, new entrants). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves/étudiants inscrits, de nouvel inscrits (entrants) et de diplômés par âge. Le tableau par défaut affiche les données sur les étudiants inscrits en Australie pour 2022 et pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, zone de référence, statut de mobilité, sexe, âge et mesure (diplômés, nouveaux inscrits). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_746_756_766+ISCED11_8,MEASURE=GRAD,SEX=_T,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10,MOBILITY=_T DEFAULT Number of enrolled students, graduates and new entrants by field of education Nombre d'élèves inscrits, de diplômés et de nouveaux inscrits (entrants) par domaine d’études This dataset contains data on the number of enrolled students, new entrants and graduates by field of education. The default table displays graduates data for the latest available year, for the main fields of education and tertiary levels of education. The selection can be changed to display data: by year, other education levels, subset of fields of education, mobility status, sex and measure (students enrolled, new entrants). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves inscrits, de diplômés et de nouveaux inscrits (entrants) par domaine d’études. Le tableau par défaut affiche les données sur les diplômés de 2022 pour les principaux domaines d'études et les niveaux d'enseignement supérieur. La sélection peut être modifiée pour afficher les données : par année, autres niveaux d'enseignement, sous-ensemble de domaines d'études, statut de mobilité, sexe et mesure (étudiants inscrits, nouveaux inscrits). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. <</p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,INTENSITY=_T DEFAULT Number of enrolled students and graduates by type of institution Nombre d’élèves/étudiants scolarisés selon le type d’établissement This dataset contains data on the number of enrolled students and graduates by type of institution. The default table displays data on enrolled students for the latest available year and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d’élèves/étudiants scolarisés selon le type d’établissement. Le tableau par défaut affiche les données sur les élèves/étudiants inscrits en 2022 et pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, par intensité, par sexe et par mesure (diplômés). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true ORIGIN LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8+ISCED11_5T8,MEASURE=ENRL,SEX=_T,REF_AREA=AUS DEFAULT Number of mobile students enrolled and graduated by country of origin Nombre d'élèves/étudiants inscrits et diplômés mobiles par pays d'origine This dataset contains data on the number of mobile students enrolled and graduated by country of origin. The default table displays data on enrolled students in Australia for the latest available year. The selection can be changed to display data: by year, reference area, sex and measure (graduates). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves/étudiants inscrits et diplômés mobiles par pays d'origine. Le tableau par défaut affiche les données sur les étudiants inscrits en Australie pour 2022. La sélection peut être modifiée pour afficher les données : par année, zone de référence, sexe et mesure (diplômés). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV,GRADE LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Number of students and repeaters by grade and level of education Nombre d'élèves et de redoublants par année d'études et niveau d'enseignement This dataset contains data on the number of students (initial education only) and repeaters by grade and level of education. The default table displays data for the latest available year and for all ages. The selection can be changed to display data: by year, by age (only for the number of students by grade) and sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre d'élèves (formation initiale uniquement) et de redoublants par année d'études et niveau d'enseignement. Le tableau par défaut affiche les données de 2022 pour tous les âges. La sélection peut être modifiée pour afficher les données : par année, par âge (uniquement pour le nombre d'élèves par année d'études) et par sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_FIELD LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED EDUCATION_LEV=ISCED11_5T8,MEASURE=GRAD,TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_FIELD=F00+F01+F02+F03+F04+F05+F06+F07+F08+F09+F10+_T,SEX=F+M,MOBILITY=_T DEFAULT Share of new entrants and graduates in each field of education by gender Part des nouveaux inscrits (entrants) et des diplômés dans chaque domaine d'études selon le sexe This dataset contains data on the share of new entrants and graduates in each field of education by gender. The default table displays tertiary graduates data for the latest available year. The selection can be changed to display data: by year, specific education levels, mobility status, sex and measure (new entrants). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des nouveaux inscrits (entrants) et des diplômés dans chaque domaine d'études selon le sexe. Le tableau par défaut affiche les données sur les diplômés de l'enseignement supérieur pour 2022. La sélection peut être modifiée pour afficher les données : par année, niveaux d'études spécifiques, statut de mobilité, sexe et mesure (nouveaux inscrits). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7,SEX=_T,MOBILITY=_T DEFAULT Share of new entrants to and first-time graduates at tertiary education Part de nouveaux inscrits (première inscription) et de diplômés (premier diplôme) de l'enseignement supérieur This dataset contains data on the share of new entrants to and first-time graduates at tertiary education. The default table displays tertiary new entrants and graduates data for the latest available year. The selection can be changed to display data: by year, sex and mobility status. Data correspond to the concept of first-time tertiary, i.e. person who has enter (new entrants) or successfully completed (graduates) an education programme at the tertiary level for the first time. The student may have entered / completed the programme at either ISCED level 5 (short-cyle tertiary) , 6 (bachelor) or 7 (master long first degree). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part de nouveaux inscrits (première inscription) et de diplômés (premier diplôme) de l'enseignement supérieur. Le tableau par défaut affiche les données sur les nouveaux inscrits et les diplômés de l'enseignement supérieur pour 2022. La sélection peut être modifiée pour afficher les données : par année, sexe et statut de mobilité. Les données correspondent au concept de premier entrant dans l'enseignement supérieur, c'est-à-dire une personne qui est entrée (nouveaux inscrit) ou a terminé avec succès (diplômé) un programme d'enseignement au niveau tertiaire pour la première fois. L'étudiant peut avoir commencé/achevé le programme au niveau CITE 5 (enseignement supérieur de cycle court), 6 (licence) ou 7 (master de premier cycle). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=F+M,MOBILITY=_T,MEASURE=GRAD,EDUCATION_LEV=ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8 DEFAULT EDUCATION_LEV:OECD.EDU.IMEP:HCL_EDUCATION_LEV(1.0).H HIER_CONTEXT Share of enrolled students, new entrants and graduates by gender Part d'élèves/étudiants inscrits, des nouveaux inscrits (entrants) et des diplômés selon le sexe This dataset contains data on the share of enrolled students, new entrants and graduates by gender. The default table displays graduates data for the latest available year and for a subset of education levels. The selection can be changed to display data: by year, mobility status, sex and measure (enrolled students, new entrants). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des étudiants inscrits, des nouveaux inscrits et des diplômés par sexe. Le tableau par défaut affiche les données sur les diplômés de 2022 pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, statut de mobilité, sexe et mesure (étudiants inscrits, nouveaux inscrits). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INST_TYPE_EDU LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,MEASURE=ENRL,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_5++ISCED11_6+ISCED11_7+ISCED11_8,INST_TYPE_EDU=INST_EDU_PUB+INST_EDU_PRIV+INST_EDU_PRIV_GOV+INST_EDU_PRIV_IND DEFAULT Distribution of enrolled students and graduates by type of institution Répartition d’élèves/étudiants scolarisés selon le type d’établissement This dataset contains data on the distribution of enrolled students and graduates by type of institution. The default table displays data on enrolled students the latest available year and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la répartition d’élèves/étudiants scolarisés selon le type d’établissement. Le tableau par défaut affiche les données sur les élèves/étudiants inscrits en 2022 et pour un sous-ensemble de niveaux d'enseignement. La sélection peut être modifiée pour afficher les données : par année, par intensité, par sexe et par mesure (diplômés). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,MEASURE=GRAD,SEX=_T,EDUCATION_LEV=ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8 DEFAULT Share of mobile enrolments, new entrants and graduates Part des nouveaux inscrits (entrants) et des diplômés mobiles This dataset contains data on the share of mobile new entrants and graduates by tertiary levels. The default table displays tertiary graduates data for the latest available year. The selection can be changed to display data: by year, sex and measure (new entrants). Data for short-cyle tertiary, bachelor's, master's combined correspond to the concept of first-time tertiary, i.e. person who has enter (new entrants) or successfully completed (graduates) an education programme at the tertiary level for the first time. The student may have entered / completed the programme at either ISCED level 5 (short-cyle tertiary) , 6 (bachelor) or 7 (master long first degree). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des nouveaux inscrits (entrants) et des diplômés mobiles. Le tableau par défaut affiche les données sur les diplômés de l'enseignement supérieur pour 2022. La sélection peut être modifiée pour afficher les données : par année, sexe et mesure (nouveaux inscrits). Les données pour l'enseignement supérieur de cycle court, la licence et le master combinés correspondent au concept de premier cycle supérieur, c'est-à-dire une personne qui est entrée (nouveaux inscrits) ou a terminé avec succès (diplômé) un programme d'enseignement au niveau tertiaire pour la première fois. L'étudiant peut avoir commencé/achevé le programme au niveau CITE 5 (enseignement supérieur de cycle court), 6 (licence) ou 7 (master long premier diplôme). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW DESTINATION LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,MEASURE,EDUCATION_LEVEL NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,DESTINATION=E+F+A2+A9+O+S+W DEFAULT Share of mobile students enrolled at tertiary level by country of destination Part d’étudiants en mobilité internationale par pays d’accueil This dataset contains data on the share of mobile students by country of destination. The default table displays data by region of destination the latest available year. The selection can be changed to display data: by year and by country of destination. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des étudiants mobiles par pays de destination. Le tableau par défaut affiche les données par région de destination pour 2022. La sélection peut être modifiée pour afficher les données : par année et par pays de destination. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW ORIGIN LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,MOBILITY,UNIT_MULT=0,MEASURE,EDUCATION_LEVEL NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,ORIGIN=E+F+A2+A9+O+S+W DEFAULT Share of mobile students enrolled at tertiary level by country of origin Part d’étudiants en mobilité internationale par pays d’origine This dataset contains data on the share of mobile students by country of origin. The default table displays data by region of origin for the latest available year. The selection can be changed to display data: by year and by country of origin. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part d’étudiants en mobilité internationale par pays d’origine. Le tableau par défaut affiche les données par région d'origine pour 2022. La sélection peut être modifiée pour afficher les données : par année et par pays d'origine. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN INTENSITY LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=_T,EDUCATION_LEV=ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8 DEFAULT Share of enrolled part-time and full-time students Part d'élèves/étudiants inscrits à temps partiel et à temps plein This dataset contains data on the share of enrolled part-time and full-time students. The default table displays data for the latest available year. The selection can be changed to display data: by year and by sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part d'élèves/étudiants inscrits à temps partiel et à temps plein. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,SEX=F+M,MEASURE=RPTR,AGE=_T,EDUCATION_LEV=ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT Share of repeaters by gender and level of education Part des redoublants selon le sexe et le niveau d'enseignement This dataset contains data on the share of repeaters by gender and level of education. The default table displays data for the latest available year. The selection can be changed to display data by year. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part des redoublants par sexe et niveau d'enseignement. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données par année. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,INST_TYPE_EDU,UNIT_MULT=0,MEASURE NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_35SW+ISCED11_45SW+ISCED11_55SW,SEX=_T DEFAULT Share of students enrolled in school and work-based programmes Part d'élèves/étudiants scolarisés dans des programmes emploi-études parmi les étudiants scolarisés dans des programmes d'EFP This dataset contains data on the share of students enrolled in school and work-based programmes. The default table displays data for the latest available year. The selection can be changed to display data: by year and by sex. </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur la part d'élèves/étudiants scolarisés dans des programmes emploi-études parmi les étudiants scolarisés dans des programmes d'EFP. Le tableau par défaut affiche les données de 2022. La sélection peut être modifiée pour afficher les données : par année et par sexe. </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true Student (full database) NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN OBS_STATUS=A,FREQ,EDUCATION_TYPE,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2025,EDUCATION_LEV=ISCED11_0+ISCED11_01+ISCED11_02+ISCED11_1+ISCED11_2+ISCED11_3+ISCED11_34+ISCED11_35+ISCED11_4+ISCED11_5+ISCED11_6+ISCED11_7+ISCED11_8,MEASURE=ENRL,SEX=_T,INTENSITY=_T,EDUCATION_FIELD=_T DEFAULT Total number of enrolled students, new entrants and graduates Nombre total d’élèves/étudiants inscrits, de nouveaux entrants et de diplômés This dataset contains data on the number of new entrants, enrolled students and graduates . The default table displays data on enrolled students for the latest year available and for a subset of education levels. The selection can be changed to display data: by year, by intensity, by sex and measure (graduates). </p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. </p><p>For more information, please consult the <a href=https://www.oecd.org/en/publications/education-at-a-glance_19991487.html><i>Education at a Glance</i></a> web page and the <a href=https://doi.org/10.1787/9789264304444-en><i>OECD Handbook for Internationally Comparative Education Statistics: Concepts, Standards, Definitions and Classifications</i></a>. Cet ensemble de données contient des données sur le nombre de nouveaux entrants, d’élèves/étudiants inscrits et de diplômés. Le tableau par défaut affiche les données sur les élèves/étudiants inscrits pour la dernière année disponible et pour un sous-ensemble de niveaux d’enseignement. La sélection peut être modifiée pour afficher les données : par année, par intensité, par sexe et par mesure (diplômés). </p><p>Les données de la dernière année disponible sont provisoires. Les données définitives seront publiées le 29 septembre 2026. </p><p>Pour plus d'informations, veuillez consulter la page web <a href=https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html><i>Regard sur l'éducation</i></a> et le <a href=https://doi.org/10.1787/9789264305380-fr><i>Guide de l'OCDE pour l'établissement de statistiques internationalement comparables dans le domaine de l'éducation 2018</i></a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD LAYOUT_NOTE REF_PERIOD=2022,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35 DEFAULT COMBINED_UNIT_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 0.999999995 SEARCH_WEIGHT EXT_RESOURCE Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' actual teaching time Temps d'enseignement annuel effectif des enseignants <p>This dataset contains data on actual teaching time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). The table displays data in hours per year.</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur le temps d'enseignement réel des enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels). Le tableau affiche les données en heures par an.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35,REF_AREA=OECD DEFAULT 0.999999990 SEARCH_WEIGHT Teaching and working time of teachers - full dataset Temps d'enseignement et de travail des enseignants - ensemble complet de données <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on teaching and working time of teachers.</p><p>It covers full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). The default selection shows all available measures of the OECD average.</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données est téléchargeable au format CSV. Il contient les données brutes complètes sur le temps d'enseignement et de travail des enseignants.</p><p>Il couvre les enseignants à temps plein dans les établissements publics de l'enseignement préprimaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels). La sélection par défaut affiche toutes les mesures disponibles de la moyenne de l'OCDE.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2020,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Teachers' actual annual teaching time Temps d'enseignement annuel effectif des enseignants <p>This dataset presents data on actual teaching time of full-time teachers (including overtime) in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2020 (school year 2019/20 or 2020), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente le temps d'enseignement réel des enseignants à temps plein (y compris les heures supplémentaires) dans les établissements publics en l'enseignement préprimaire, primaire et secondaire (programmes généraux et professionnels). Les données se réfèrent à l'année de référence 2020 (année scolaire 2019/20 ou 2020), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW EDUCATION_LEV LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2021,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED PERS_TYPE=TE,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34,UNIT_MEASURE=H_Y,MEASURE=WKT_STA_TCH+WKT_STA_WKT+WKT_STA_WKS DEFAULT Teaching and working time of teachers and school heads - full dataset Temps d'enseignement et de travail des enseignants et des chefs d'établissement - ensemble complet de données <p>The purpose of this dataset is for download in CSV format. It contains the full raw data on teaching and working time of teachers and school heads.</p><p>It covers full-time teachers and school heads in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données a pour objectif le téléchargement au format CSV. Il contient les données brutes complètes sur les temps d'enseignement et de travail des enseignants et des chefs d'établissement. Il n'y a pas de filtre ni de vue par défaut pour cet ensemble de données, la navigation dans les données peut donc être lente.</p><p>Il couvre les enseignants et les chefs d'établissement travaillant à plein temps dans des établissements publics, travaillant dans l’enseignement préprimaire, primaire et secondaire général (premier et deuxième cycle). Les données se réfèrent à l'année de référence 2020 (année scolaire 2019/20 ou 2020), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H HIER_CONTEXT School heads' working time Temps de travail des chefs d'établissement <p>This dataset presents data on statutory requirement on working time (and teaching time, if applicable) of full-time school heads in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente des données sur les exigences légales en matière de temps de travail (et de temps d'enseignement) des chefs d'établissement travaillant à temps plein dans les établissements publics, dans l'enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels). Les données se réfèrent à l'année de référence 2021 (année scolaire 2020/21 ou 2021), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=AUS+AUT+BEL+BFL+BFR+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+UKB+UKM+USA+ARG+BRA+BGR+CHN+HRV+IND+IDN+PER+ROU+SAU+ZAF+EU22+OECD,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H HIER_CONTEXT Teachers' statutory teaching and working time Temps d'enseignement et de travail statutaire des enseignants <p>This dataset presents data on statutory requirement on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes). Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente des données sur les exigences légales en matière de temps d'enseignement et temps de travail des enseignants travaillant à temps plein dans les établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels). Les données se réfèrent à l'année de référence 2021 (année scolaire 2020/21 ou 2021), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2021,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED REF_AREA=BEL+BFL+BFR+CAN+CA10+CA11+CA12+CA13+CA24+CA35+CA46+CA47+CA48+CA59+CA60+CA61+CA62+KOR+KR011+KR012+KR013+KR021+KR022+KR023+KR031+KR032+KR041+KR042+KR043+KR051+KR052+KR053+KR054+KR061+KR071+GBR+UKB+UKL+UKM+UKN,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_34 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE;EDUCATION_LEV:EDUCATION_LEV COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;EDUCATION_LEV:Education level COMBINED_MEASURE:Mesure combinée;EDUCATION_LEV:Niveau de l'enseignement UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(1.0).H HIER_CONTEXT Teachers' statutory teaching and working time (subnational data) Temps d'enseignement et de travail statutaire des enseignants (données infranationales) <p>This dataset presents data on statutory requirement on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes) for some subnational entities. Data refers to the reference year 2021 (school year 2020/21 or 2021), unless stated otherwise.</p><p>For more information, please consult <a href="https://www.oecd-ilibrary.org/sites/3197152b-en/1/3/5/2/index.html?itemId=/content/publication/3197152b-en&_csp_=7702d7a2844b0c49180e6b095bf85459&itemIGO=oecd&itemContentType=book#"><i>Education at a Glance 2022</i></a>. Further detail as to the methodology used, the references to the sources and the specific notes for each country are available in <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209.15661913.1694419564-1098612334.1635497562">Annex 3 of <i>Education at a Glance 2022</i></a>. <p>Cet ensemble de données présente des données sur les exigences légales en matière de temps d'enseignement et temps de travail des enseignants travaillant à temps plein dans les établissements publics, enseignant dans l’enseignement préprimaire, primaire et secondaire (premier et deuxième cycles de programmes généraux et professionnels) pour certaines entités infranationales. Les données se réfèrent à l'année de référence 2021 (année scolaire 2020/21 ou 2021), sauf indication contraire.</p><p>Pour plus d'informations, veuillez consulter <a href="https://www.oecd-ilibrary.org/sites/4d8c8801-fr/index.html?itemId=/content/component/4d8c8801-fr#"><i>Regards sur l'éducation 2022</i></a>. Plus de détails sur les définitions, méthodologies, sources de données et notes spécifiques pour chaque pays sont disponibles dans <a href="https://www.oecd.org/education/EAG2022_X3-D.pdf?_ga=2.253643209. 15661913.1694419564-1098612334.1635497562">Annexe 3 de <i>Regards sur l'éducation 2022</i> (en anglais)</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD,STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED MEASURE=WKT_STA_TCH,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35 DEFAULT UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H HIER_CONTEXT EXT_RESOURCE Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory teaching and working time Temps d'enseignement et de travail statutaire des enseignants <p>This dataset contains data on statutory requirements on teaching and working time of teachers. It covers requirements for full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes).</p><p>The default table displays data on teaching time (in hours, days and weeks per year). The selection can be changed to display data in working time (total working time or working time required at school, in hours per year).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>For historical data on statutory teaching hours, see <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=2&tm=teaching%20time%20trend%20teacher&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_WT_TREND%40DF_ALL&df[ag]=OECD.EDU.IMEP&lc=en"><b>Trends in teachers' statutory teaching time since 2000</b></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les exigences légales en matière de temps d'enseignement et de travail des enseignants. Il couvre les exigences pour les enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels).</p><p>Le tableau par défaut affiche les données sur le temps d'enseignement (en heures, jours et semaines par an). La sélection peut être modifiée pour afficher les données sur le temps de travail (temps de travail total ou temps de travail requis à l'école, en heures par an).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Pour des données historiques sur le temps d'enseignement statutaires, voir <a href="https://data-explorer.oecd.org/vis?pg=0&bp=true&snb=2&tm=teaching%20time%20trend%20teacher&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_EAG_WT_TREND%40DF_ALL&df[ag]=OECD.EDU.IMEP&lc=fr"><b>Évolution du temps d'enseignement statutaire des enseignants depuis 2000</b></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE,EDUCATION_LEV LAYOUT_COLUMN REF_PERIOD,STATISTICAL_OPERATION LAYOUT_NOTE REF_PERIOD=2023,PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED MEASURE=WKT_STA_TCH,EDUCATION_LEV=ISCED11_02+ISCED11_1+ISCED11_24+ISCED11_25+ISCED11_34+ISCED11_35 DEFAULT UNIT_MEASURE:OECD.EDU.IMEP:HCL_UNIT_MEASURE_NESLI(2.0).H HIER_CONTEXT 0.999999997 SEARCH_WEIGHT EXT_RESOURCE Full dataset on teaching and working time of teachers|https://data-explorer.oecd.org/vis?lc=en&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Toutes les données de temps d'enseignement et de travail des enseignants|https://data-explorer.oecd.org/vis?lc=fr&df[ds]=DisseminateFinal&df[id]=DSD_EAG_WT%40DF_ALL&df[ag]=OECD.EDU.IMEP Teachers' statutory teaching and working time - Subnational entities Temps d'enseignement et de travail statutaire des enseignants - Entités infranationales <p>This dataset contains data on statutory requirements on teaching and working time of full-time teachers in public institutions at pre-primary, primary and (lower and upper) secondary education (general and vocational programmes) in subnational entities of some countries.</p><p>The default table displays data on teaching time (in hours, days and weeks per year). The selection can be changed to display data on working time (total working time or working time required at school, in hours per year).</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données contient des données sur les exigences réglementaires en matière de temps d'enseignement et de travail des enseignants à temps plein dans les établissements publics de l'enseignement préscolaire, primaire et secondaire (premier et deuxième cycles) (programmes généraux et professionnels) dans les entités infranationales de certains pays.</p><p>Le tableau par défaut affiche les données sur le temps d'enseignement (en heures, jours et semaines par an). La sélection peut être modifiée pour afficher les données sur le temps de travail (temps de travail total ou temps de travail requis à l'école, en heures par an).</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN STATISTICAL_OPERATION LAYOUT_NOTE PERS_TYPE,OBS_STATUS=A,STATISTICAL_OPERATION=OBS,UNIT_MULT NOT_DISPLAYED EDUCATION_LEV=ISCED11_1 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Trends in teachers' statutory teaching time since 2000 Évolution du temps d'enseignement statutaire des enseignants depuis 2000 <p>This dataset contains a trend of statutory teaching time requirement since 2000. It covers full-time teachers in public institutions in pre-primary, primary, lower secondary education (general programmes) and upper secondary general programmes.</p><p>The default table displays data in hours per year for teachers at the primary level. The selection can be changed to display data on different years and on different levels of education.</p><p>Additional details regarding sources for data and the methodology used and specific notes for countries can be found in the accompanying document <b>Sources, Methodologies and Technical Notes</b>. For more information, please consult <a href="https://www.oecd.org/en/publications/education-at-a-glance_19991487.html"><i>Education at a Glance</i></a>.</p><p>Data for the latest available year are preliminary. Final data will be released on 29 September 2026. <p>Cet ensemble de données présente l'évolution du temps d'enseignement réglementaire depuis 2000. Il couvre les enseignants à temps plein des établissements publics de l'enseignement préscolaire, primaire, secondaire inférieur (programmes généraux) et secondaire supérieur (programmes généraux).</p><p>Le tableau par défaut affiche les données en heures par an pour les enseignants du primaire. La sélection peut être modifiée pour afficher les données sur différentes années et sur différents niveaux d'enseignement.</p><p>Plus de détails sur les sources de données, les définitions, les méthodologies, et des notes spécifiques pour chaque pays sont disponibles dans le document annexe <b>Sources, méthodologies et notes techniques</b> (en anglais). Pour plus d'informations, veuillez consulter <a href="https://www.oecd.org/fr/publications/regards-sur-l-education_19991495.html"><i>Regards sur l'éducation</i></a>.</p><p>Les données pour la dernière année disponible sont provisoires. Les données définitives seront disponibles le 29 septembre 2026. NonProductionDataflow true HEALTH_SUBSECTOR LAYOUT_ROW UNIT_MEASURE, TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2018,EMISSIONS_ORIGIN_ACTIVITY=_T,EMISSIONS_ORIGIN=_T,EMISSIONS_SCOPE=_T,MEASURE=GHG,UNIT_MEASURE=KG_CO2E_PS+PT_EM_GHG DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00040 SEARCH_WEIGHT Greenhouse gas emissions in the healthcare sector Émissions de gaz à effet de serre dans le secteur de la santé The health system, like all industries, emits millions of tons of greenhouse gases (GHG) each year in the production and consumption of healthcare services and medical goods. Many OECD countries have made the decarbonisation of health systems a priority but to evaluate any progress in moving towards net-zero health systems, robust models to estimate GHG emissions associated with the health sector are needed. <p />This dataset presents the results of a model developed by the OECD Health Division in collaboration with the OECD Directorate of Science, Technology and Innovation (STI) to measure GHG emissions associated with healthcare demand. The analysis is based on an environmental extension of the OECD’s Inter-Country Input-Output (ICIO) database, which includes estimates of carbon dioxide, as well as CO2-equivalents for methane, nitrous oxide, and fluorinated gases and granular health spending data from OECD’s health spending data collection based on the <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2017/03/a-system-of-health-accounts-2011_g1g75c9d/9789264270985-en.pdf">System of Health Accounts</a>. <p />Please refer to the <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/09/measuring-greenhouse-gas-emissions-in-the-health-sector_5977afc4/4d15c6ef-en.pdf">Working Paper</a> for detailed information of the model and its methodology. <p />In this dataset all Scope 3 emissions are grouped into the category “Other indirect upstream emissions” although some downstream Scope 3 emissions are also included. Comme tous les autres secteurs, le système de santé émet chaque année des millions de tonnes de gaz à effet de serre (GES) dans le cadre de la production et de la consommation de services de santé et de produits médicaux. De nombreux pays de l'OCDE ont fait de la décarbonisation des systèmes de santé une priorité, mais pour évaluer les progrès accomplis vers des systèmes de santé à zéro émission nette, il est nécessaire de disposer de modèles fiables permettant d'estimer les émissions de GES associées au secteur de la santé. <p />Cet ensemble de données présente les résultats d'un modèle développé par la Division de la santé de l'OCDE en collaboration avec la Direction de la science, de la technologie et de l'innovation (STI) de l'OCDE afin de mesurer les émissions de GES associées à la demande de soins de santé. L'analyse repose sur une extension environnementale de la base de données Inter-Country Input-Output (ICIO) de l'OCDE, qui comprend des estimations des émissions de dioxyde de carbone, ainsi que les équivalents CO2 pour le méthane, l'oxyde nitreux et les gaz fluorés, et des données granulaires sur les dépenses de santé issues de la collecte de données de l'OCDE sur les dépenses de santé basée sur le <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2017/03/a-system-of-health-accounts-2011_g1g75c9d/9789264270985-en.pdf">Système de comptabilité de la santé</a>. <p />Veuillez-vous reporter au <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/09/measuring-greenhouse-gas-emissions-in-the-health-sector_5977afc4/4d15c6ef-en.pdf">document de travail</a> pour obtenir des informations détaillées sur le modèle et sa méthodologie. <p />Dans cet ensemble de données, toutes les émissions de scope 3 sont regroupées dans la catégorie « Autres émissions indirectes en amont », bien que certaines émissions de scope 3 en aval soient également incluses. NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Acute care Soins aigus <strong>Acute Care (AC)</strong> is a subgroup of indicators within the HCQO database and provides data on the quality of hospital-based care for acute conditions. The database includes indicators on 30-day mortality following acute myocardial infarction, haemorrhagic and ischaemic stroke and hip surgery initiation within 2 days. Mortality rates following hospital admission for these conditions capture the quality of pre-hospital factors including timely access and coordinated emergency care as well as the quality of in-hospital care including timely treatment and access to specialised facilities. Acute care indicators are age- and sex-standardised. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>Sources and Methods surveys on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20acute%20care%20indicators%20(AC)%202024-25.xlsx">Acute Care (AC)</a> and <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20general%20survey%20on%20hospital%20data%202024-25.xlsx">Hospital Data</+G3+G4 NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE,SEX LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2004,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Cancer care Soins du cancer <strong>Cancer care (CC)</strong> is a subgroup of indicators within the HCQO database. Effective cancer care such as early diagnosis, improved surgical techniques, radiation therapy and combined chemotherapy and their wider and timelier access contributes to increased survival of cancer patients. <p /> Five-year net survival is the cumulative probability that cancer patients survive their cancer for at least five years following diagnosis, after controlling for the risks of death from other causes, and taking into account that competing risks of deaths are higher among elderly people. The period approach is used to allow estimation of five-year survival when five years of follow-up are not available. Cancer survival estimates are age-standardised with the International Cancer Survival Standard weights. <p /> Quality control and analysis for age standardised five year net survival were performed centrally as part of the <a target="_blank" href="https://csg.lshtm.ac.uk/research/themes/concord-programme/">CONCORD Programme</a>, the global programme for the surveillance of cancer survival, led by the London School of Hygiene and Tropical Medicine. NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT End-of-life care Soins de fin de vie <strong>End of Life Care (EC)</strong> is a subgroup of indicators within the HCQO database and provides data on the quality of care provided to people who are near the end of life. End of life care is a key indicator of healthcare quality, as high rates of hospital or acute care deaths, and frequent unplanned hospital readmissions in the final months of life may reflect gaps in access to and adequacy of community-based or palliative care. The database includes indicators on deaths occurring in inpatient acute care and hospital settings, and on the proportion of patients with unplanned readmissions during the last 30 or 180 days of life. These indicators focus on individuals who die due to conditions such as cancer, cardiovascular disease, chronic respiratory disease, and dementia. Indicators are reported as crude rates. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods survey on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20end-of-life%20care%20indicators%20(EC)%202024-25.xlsx">End of Life Care (EC)</a> provides detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true SEX,REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2014,SEX=_T+F,STATISTICAL_OPERATION=OBS+VALUEW,MEASURE=ADMRASTH+ADMRCOPD+ASCOCOMP+ADMRCHFL+ADMRHYPT+CHHYCOMP+ADMRDBUC+PATRDBLE+ADMRDBLE,INCOME_GROUP=_T DEFAULT 10000 MAX_TABLE_DATA Healthcare quality and outcomes Qualité et résultats des soins de santé The <strong>Healthcare Quality and Outcomes (HCQO)</strong> indicators provide a systematic overview of the quality in healthcare – a core dimension of health system performance. This master HCQO dataset includes subgroups of indicators including the quality of Primary Care (Avoidable Admissions), Safe Prescribing in Primary Care, Acute Care, Integrated Care, Cancer Care, Mental Healthcare, Patient Safety, Patient Safety Culture, Patient Experiences, Mental Health Patient’s Experiences, Hip and Knee Patient-Reported Outcome Measures (PROMS), and End-of-life Care. <p /> The indicators reported allow for assessment of whether the care provided is: <ul> <li>Effective: achieving desirable outcomes, given the provision of evidence-based healthcare services to all who could benefit, but not to those who would not benefit</li> <li>Safe: reducing the risk of unnecessary harm associated with healthcare to an acceptable minimum </li> <li>Person-centred: tailoring healthcare based on the individual needs, preferences and values of the patient </li> </ul> <p /> HCQO indicators evaluate Access, Quality and People’s needs and preferences domains of OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a>. <p /> Indicator definitions and calculation methodology of the HCQO indicators are available in the <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document.</a> <p /> Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20surveys%202024-25.xlsx">Sources and Methods surveys for all HCQO indicator groups</a> for detailed country-specific information. NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Hip and Knee Patient-Reported Outcome Measures Mesures de résultats rapportés par les patients pour la hanche et le genou <strong>Hip and Knee Patient-Reported Outcome Measures (PROMS) (HKP)</strong> is a subgroup of indicators within the HCQO database and provide patient-reported data on the perceived pain, physical functioning and quality of life of people who underwent hip or knee replacement surgery. The database includes condition-specific indicators measuring pain and function and generic indicators measuring quality of life reported before and after surgery. The Oxford Hip and Knee Score (OHS/OKS) and the EuroQol 5 Dimensional tool (EQ 5D) are used for data collection. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods survey on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20Hip%20and%20Knee%20PROMs%20(HKP)%202024-25.xlsx"> Hip and Knee Patient-Reported Outcome Measures (PROMS) (HKP)</a> provides detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Integrated care Soins intégrés Fragmented care across providers and settings can lead to poor health outcomes, unmet needs and unnecessary costs. <strong>Integrated Care (IC)</strong> is a subgroup of indicators within the HCQO database, and the indicators measure how effectively countries deliver coordinated care for people with chronic conditions. When hospital, primary care and community services are well integrated, health systems can reduce avoidable readmissions and premature mortality, while supporting adherence to treatment. To track this, the HCQO database monitors outcomes for first-time patients with stroke and chronic heart failure one year after discharge, as these patients are particularly sensitive to the quality of care integration. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods surveys on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20integrated%20care%20indicators%20(IC)%202024-25.xlsx">Integrated Care (IC)</a> and <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20general%20survey%20on%20hospital%20data%202024-25.xlsx">Hospital Data</a> provide detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> <li>The working paper <a target="_blank" href="https://www.oecd.org/en/publications/international-comparisons-of-the-quality-and-outcomes-of-integrated-care_480cf8a0-en.html">International comparisons of the quality and outcomes of integrated care</a> describes the creation and background of integrated care indicators</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Mental healthcare Soins en santé mental <strong>Mental Healthcare (MH)</strong> is a subgroup of indicators within the HCQO database and provides data on the quality of mental healthcare. The database includes indicators on deaths from suicide among patients discharged with a mental disorder, and excess mortality among people with schizophrenia and bipolar disorder. Suicide rates reflect the quality of follow-up and continuity of care after discharge, while excess mortality captures overall health outcomes among people who had lived with severe mental illness compared to the general population. Indicators are age- and sex-standardised. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods surveys on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20mental%20healthcare%20indicators%20(MH)%202024-25.xlsx">Mental Healthcare (MH)</a> and <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20general%20survey%20on%20hospital%20data%202024-25.xlsx">Hospital Data</a> provide detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Mental health - patient reported experience measures Santé mentale - Mesures de l'expérience rapportée par les patients <strong>Mental Health Patient-Reported Experience Measures (PREMs) (MP)</strong> is a subgroup of indicators within the HCQO database and provide data on patient experiences with inpatient and community-based mental health services. PREMs are a key dimension of healthcare quality, capturing how individuals living with mental health conditions experience care and promoting the delivery of person-centred care. The database includes indicators on patients’ experiences of being treated with courtesy and respect, having enough time with care providers, receiving easy-to-understand explanations, and being involved in the decision-making of their care and treatment. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods survey on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20mental%20health%20PREMS%20(MP)%202024-25.xlsx">Mental Health – Patient Reported Experience Measures (MP)</a> provides detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Primary care Soins primaires <strong>Primary Care – Avoidable Hospital Admissions (AA)</strong> is a subgroup of indicators within the HCQO database and provides data on hospital admissions for chronic admissions that could be avoided though better management in primary care. Conditions like asthma, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF) and diabetes can largely be treated in primary care. Admission rates for these conditions may therefore signal quality issues in primary care. Indicators are reported as age- and sex-standardised rates. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods surveys on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20avoidable%20hospital%20admissions%20indicators%20(AA)%202024-25.xlsx">Primary Care (AA)</a> and <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20general%20survey%20on%20hospital%20data%202024-25.xlsx">Hospital Data</a> provide detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,INCOME_GROUP=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Patient experiences Expériences des patients <strong>Patient Experiences (PE)</strong> is a subgroup of indicators within the HCQO database and provides data on how patients perceive the care they receive. Incorporating person’s and patient’s perspectives is a key dimension of healthcare quality, promoting improved health system performance and people-centred care. The database includes indicators on unmet care needs – such as skipping consultations, treatments, or prescribed medicines due to costs – and on people-centredness, including whether doctors spend enough time with patients, provide easy-to-understand explanations, offer opportunities to ask questions or raise concerns, and involve patients in decisions about their care. Indicators are disaggregated by sex and income quintile to provide a granular view of patient experiences. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods survey on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20patient%20experiences%20indicators%20(PE)%202024-25.xlsx">Patient Experiences (PE)</a> provides detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD,SEX LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Prescribing in primary care Prescription en soins primaires <strong>Prescribing in Primary Care (PR)</strong> is a subgroup of indicators within the HCQO database and provides data on the quality and safety of prescribing practices in primary care settings. Safe prescribing is a key dimension of healthcare quality, as the overuse, underuse or misuse of medications can lead to adverse health outcomes and higher healthcare expenditure. The database includes indicators on prescribing rates of cholesterol-lowering and anti-hypertensive drugs (among people with diabetes), benzodiazepines, antipsychotics, antibiotics, and opioids, as well as polypharmacy. Depending on the indicator, results are reported as crude or standardised rates. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods survey on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20primary%20care%20-%20prescribing%20indicators%20(PR)%202024-25.xlsx">Prescribing in Primary Care (PR)</a> provides detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION,SEX LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE,AGE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Patient safety Sécurité des patients <strong>Patient Safety (PS)</strong> is a subgroup of indicators within the HCQO database and provides data on adverse events during healthcare activities. Patient safety is a key dimension of healthcare quality, as harm resulting from care can lead to complications, death, and significant healthcare costs – much of which are avoidable through adherence to safety protocols and clinical guidelines. The database includes indicators on obstetric trauma during vaginal delivery as well as postoperative pulmonary embolism, deep vein thrombosis and sepsis. Indicators are reported as crude rates. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods surveys on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20patient%20safety%20indicators%20(PS)%202024-25.xlsx">Patient Safety (PS)</a> and <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20general%20survey%20on%20hospital%20data%202024-25.xlsx">Hospital Data</a> provide detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA,STATISTICAL_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,TIME_RANGE LAYOUT_FLAG METHODOLOGY LAYOUT_NOTE OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF=_T,STATISTICAL_OPERATION=OBS+VALUEW DEFAULT Patient Safety Culture <strong>Patient Safety Culture (PSC)</strong> is a subgroup of indicators within the HCQO database and provides data on how health workers perceive the organisational culture around patient safety in hospital settings. A positive patient safety culture – characterised by shared perceptions of the importance of safety, transparency, trust, and collective responsibility – is associated with better health outcomes, higher staff satisfaction, and improved organisational productivity. The database includes indicators on staff perceptions of effective teamwork, adequate staffing levels, open communication, response to error, managerial commitment to patient safety, staff workload, and information exchanges during shift changes. Indicators are disaggregated by job category (physicians, nursing staff, other clinical staff, support staff and management staff) to provide a granular view of patient safety culture across hospital staff roles. <p /> For further information, please consult: <ul> <li>The <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/HCQO%20Indicator%20Specifications%20(update%20July%202026).pdf">HCQO Definitions document</a> provides indicator definitions and calculation methodologies of HCQO indicators</li> <li>The Sources and Methods survey on <a target="_blank" href="https://webfs-els.oecd.org/files/HCQO/OECD%20Sources%20and%20Methods%20survey%20for%20patient%20safety%20culture%20indicators%20(PSC)%202024-25.xlsx">Patient Safety Culture (PSC)</a> provides detailed country-specific information</li> <li>The OECD’s <a target="_blank" href="https://www.oecd.org/en/publications/2024/01/rethinking-health-system-performance-assessment_c9e8ce53.html">Health System Performance Assessment (HSPA) Framework</a> outlines how HCQO indicators relate to the OECD’s HSPA domains of Access, Quality and People’s needs and preferences</li> </ul> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P DEFAULT SEARCH_WEIGHT 1.00170 1.00170 Physicians Médecins <p>This dataset provides data on the number of physicians by <strong>status</strong> (<em>ie.</em> practising physicians, professionally active physicians, and physicians licenced to practice).</p> <p><strong>Practising physicians</strong> provide services for individual patients.</p> <p><strong>Professionally active physicians</strong> include practising physicians and other physicians for whom their medical education is a prerequisite for the execution of the job.</p> <p><strong>Physicians licensed to practice</strong> include practising and other (non-practising) physicians who are registered and entitled to practice as healthcare professionals.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a6de7262-e58b-4a39-9f3e-315f5001200b">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de médecins par statut (à savoir médecins en exercice, médecins professionnellement actifs et médecins habilités à exercer).</p> <p><strong>Les médecins en exercice</strong> dispensent des services à des patients individuels.</p> <p><strong>Les médecins professionnellement actifs</strong> comprennent les médecins en exercice et les autres médecins pour lesquels la formation médicale est une condition préalable à l'exercice de leur profession.</p> <p><strong>Les médecins habilités à exercer</strong> comprennent les médecins en exercice et les autres médecins (non en exercice) inscrits et autorisés à exercer en tant que professionnels de santé.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a6de7262-e58b-4a39-9f3e-315f5001200b">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,AGE=_T,SEX=M+F,UNIT_MEASURE=PS+PT_WR_PRF DEFAULT SEARCH_WEIGHT 1.00160 1.00160 Physicians by age and sex Médecins par âge et sexe <p>This dataset provides data on the number of physicians by <strong>age groups and gender</strong>. Age groups include less than 35, 35-44, 45-54, 55-64, 65-74, 75+, for total, female and male physicians.</p> <p>The breakdown by age and gender is provided for practising physicians. If not available, the data are reported for professionally active physicians or physicians licensed to practise.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d5a1d43e-2585-4f05-b347-e2860e2a7145">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de médecins par <strong>groupes d'âge et par sexe</strong>. Les groupes d'âge comprennent les moins de 35 ans, les 35-44 ans, les 45-54 ans, les 55-64 ans, les 65-74 ans et les 75 ans et plus, pour le total, les médecins femmes et hommes.</p> <p>La répartition par âge et par sexe est fournie pour les médecins en exercice. En l'absence de données disponibles, les données sont présentées pour les médecins professionnellement actifs ou les médecins habilités à exercer.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=d5a1d43e-2585-4f05-b347-e2860e2a7145">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=PS+10P3HB DEFAULT SEARCH_WEIGHT 1.00150 1.00150 Physicians by categories Médecins par catégories <p>This dataset provides data on the number of <strong>physicians</strong> by three main categories and eight sub-categories, which are defined as follows:</p> <p>Generalist medical practitioners (ISCO-08 code: 2211)</p> <ul> <li>General practitioners</li> <li>Other generalist (non-specialist) medical practitioners</li> </ul> <p>Specialist medical practitioners (ISCO-08 code: 2212)</p> <ul> <li>General paediatricians</li> <li>Obstetricians and gynaecologists</li> <li>Psychiatrists</li> <li>Medical group of specialists</li> <li>Surgical group of specialists</li> <li>Other specialists not elsewhere classified</li> </ul> <p>Medical doctors not further defined (ISCO-08 code: 2210)</p> <p>The breakdown by categories is provided for <strong>practising physicians</strong> where possible. If not possible, the data are reported for professionally active physicians or physicians licensed to practise.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9381619e-e1a0-4700-9449-4f6c1f6d6e5d">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de <strong>médecins</strong> répartis en trois catégories principales et huit sous-catégories, définies comme suit :</p> <p>Praticiens en médecine générale (code CITP-08 : 2211)</p> <ul> <li>Médecins généralistes</li> <li>Autres praticiens en médecine générale (non-spécialistes)</li> </ul> <p>Praticiens en médecine spécialisée (code CITP-08 : 2212)</p> <ul> <li>Pédiatres généraux</li> <li>Gynécologues et obstétriciens</li> <li>Psychiatres</li> <li>Groupe de spécialistes médicaux</li> <li>Groupe de spécialistes chirurgicaux</li> <li>Autres spécialistes non classés ailleurs</li> </ul> <p>Docteurs en médecine non définis (code CITP-08 : 2210)</p> <p>La ventilation par catégories est fournie pour les médecins en exercice, dans la mesure du possible. Dans le cas contraire, les données sont présentées pour les médecins professionnellement actifs ou les médecins autorisés à exercer.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9381619e-e1a0-4700-9449-4f6c1f6d6e5d">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED MEASURE=HSE,UNIT_MEASURE=PT_EMP DEFAULT SEARCH_WEIGHT 1.00200 1.00200 Healthcare human resources Ressources humaines en santé This dataset provides data on the number of health professionals and graduates across the health sector. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=52112707-c689-4cc8-a923-8d15edcc7017">Sources and Methods</a> for detailed country-specific information.</p> Cet ensemble de données fournit des données sur les professionnels de la santé et les diplômés de l’ensemble du secteur de la santé. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=52112707-c689-4cc8-a923-8d15edcc7017">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=10P3HB DEFAULT SEARCH_WEIGHT 1.00180 1.00180 Health and social employment Emploi en santé et action sociale This dataset provides data on the number of persons (headcounts) working in healthcare and social work, based on the International Standard Industrial Classification (ISIC, rev.4). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=84a46c25-1d90-4cbd-8503-5e0949e859d2">Sources and Methods</a> for detailed country-specific information.</p> Cet ensemble de données fournit des données sur le nombre de personnes (effectifs) travaillant dans le secteur de la santé et du travail social, sur la base de la Classification internationale type des industries (CITI, rév. 4). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=84a46c25-1d90-4cbd-8503-5e0949e859d2">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,WORK_TIME_ARNGMNT,WORKER_STATUS,ATTAINMENT_LEV,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,ATTAINMENT_LEV=_Z,WORKER_STATUS=_Z,WORK_TIME_ARNGMNT=_Z,MODE_PROVISION=_Z NOT_DISPLAYED LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:PRICE_BASE,UNIT_MEASURE;COMBINED_MEASURE:MEASURE,REF_SECTOR COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure;COMBINED_MEASURE:Combined measure COMBINED_UNIT_MEASURE:Unité de mesure combinée;COMBINED_MEASURE:Mesure combinée Long-term care resources and utilisation Ressources et utilisation des soins de longue durée This dataset presents key indicators on long-term care, covering formal LTC workers at home or in institutions, as well as their working conditions (part-time or full-time status, fixed-term or permanent employment, and by level of education); beds in residential long-term care facilities; LTC recipients in institutions (other than hospitals) or at home; and data on the public/private split for LTC facilities, LTC recipients and LTC beds. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/Long-term-Care.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur les soins de longue durée, couvrant l'emploi formel en soins de longue durée (en institution ou à domicile), ainsi que les conditions de travail (statut à temps partiel ou à temps plein, emploi à durée déterminée ou permanent, et par niveau d'éducation) ; lits dans les établissements résidentiels de soins de longue durée ; bénéficiaires de soins de longue durée dans des établissements (autres que les hôpitaux) ou à domicile ; et des données sur la répartition public/privé pour les établissements, les bénéficiaires et les lits de soins de longue durée. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/Long-term-Care.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,ATTAINMENT_LEV=_Z,WORKER_STATUS=_Z,WORK_TIME_ARNGMNT=_Z,MODE_PROVISION=_Z NOT_DISPLAYED LASTNPERIODS=5,MEASURE=LTCB,UNIT_MEASURE=10P3HB_Y_GE65 DEFAULT Long-term care resources and utilisation - beds Ressources et utilisation des soins de longue durée - lits This dataset presents key indicators on beds in residential long-term care facilities. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/2_Beds-in-residential-long-term-care-facilities.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur les lits dans les établissements résidentiels de soins de longue durée. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/2_Beds-in-residential-long-term-care-facilities.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,ATTAINMENT_LEV=_Z,WORKER_STATUS=_Z,WORK_TIME_ARNGMNT=_Z,MODE_PROVISION=_Z NOT_DISPLAYED LASTNPERIODS=5,MEASURE=LTCR,AGE=Y_GE65,SEX=_T,UNIT_MEASURE=PT_POP_Y_GE65 DEFAULT Long-term care resources and utilisation - recipients Ressources et utilisation des soins de longue durée - bénéficiaires This dataset presents key indicators on LTC recipients in institutions (other than hospitals) or at home, by gender and age groups. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/3_Long-term-care-recipients.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur les bénéficiaires de soins de longue durée en établissements (autres que les hôpitaux) ou à domicile, par sexe et par groupe d'âge. <p />Veuillez vous référer aux <a target=""_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/3_Long-term-care-recipients.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,WORK_TIME_ARNGMNT,WORKER_STATUS,ATTAINMENT_LEV,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED LASTNPERIODS=5,MEASURE=FTE_FLTE,MODE_PROVISION=_T,HEALTH_PROF=_T,UNIT_MEASURE=10P2HB_Y_GE65 DEFAULT Long-term care resources and utilisation - workers Ressources et utilisation des soins de longue durée - emploi This dataset presents key indicators on formal LTC workers at home or in institutions, covering nurses and personal carers, by gender. It also covers their working conditions (part-time or full-time status, fixed-term or permanent employment, and by level of education). <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/1_Long-term-care-workers.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur l'emploi formel en soins de longue durée (en institution ou à domicile), couvrant le personnel infirmier et les aides-soignants, par sexe. Il couvre également leurs conditions de travail (statut à temps partiel ou à temps plein, emploi à durée déterminée ou permanent, et par niveau d'éducation). <p />Veuillez vous référer aux <a target="_blank"" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/1_Long-term-care-workers.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,OWNERSHIP_TYPE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED LASTNPERIODS=5,MEASURE=LTCF DEFAULT Long-term care resources and recipients by facility ownership Ressources et bénéficiaires de soins de longue durée par statut de propriété This dataset presents key indicators on the public/private split for LTC facilities, LTC recipients and LTC beds. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/4_Long-term-care-resources-and-recipients-by-facility-ownership.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs clés sur la répartition public/privé pour les établissements de soins de longue durée, ainsi que pour les bénéficiaires et les lits de soins de longue durée. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LTCR_Long-term-Care/4_Long-term-care-resources-and-recipients-by-facility-ownership.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED MEASURE=TBC+SP_DS,TIME_PERIOD_START=2010,UNIT_MEASURE=PT_POP+CG_SM_D DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00010 1.00010 Risk factors for health Facteurs de risque pour la santé Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for tobacco consumption (including daily smokers by age and sex), vaping (by age and sex), alcohol consumption, fruits and vegetables consumption, as well as measured and self-reported data on overweight and obesity. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/Risk-Factors-for-Health.pdf">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation de tabac (y compris les fumeurs quotidiens par âge et sexe), le vapotage (par âge et sexe), la consommation d'alcool, la consommation de fruits et légumes, ainsi que des données mesurées et autodéclarées sur le surpoids et l'obésité. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/Risk-Factors-for-Health.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00040 1.00040 Alcohol consumption Consommation d'alcool Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for alcohol consumption. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/3_Alcohol-consumption-in-litres-per-capita.pdf">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation d'alcool. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/3_Alcohol-consumption-in-litres-per-capita.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN METHODOLOGY,MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00060 1.00060 Body weight Masse pondérale Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for overweight and obesity (measured and self-reported data). <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/5_Overweight-or-obese-population_Self-reported-and-Measured-data.pdf">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente des données mesurées et autodéclarées sur le surpoids et l'obésité. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/5_Overweight-or-obese-population_Self-reported-and-Measured-data.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00050 1.00050 Food supply and consumption Approvisionnement et consommation alimentaire Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for fruits and vegetables consumption (survey data), as well as for key food supply (fat, calories, protein, sugar, etc.). <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/4_Food-supply-and-consumption.pdf">Sources and Methods</a> for detailed country-specific information on food supply. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/4_5_Consumption-of-vegetables-and-fruits-daily_Survey-data.pdf">Sources and Methods</a> for detailed country-specific information on survey data for consumption of vegetables and fruits. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation de fruits et légumes (données d'enquête), ainsi que sur l'approvisionnement alimentaire clé (graisses, calories, protéines, sucre, etc.). <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/4_Food-supply-and-consumption.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays concernant l'approvisionnement. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/4_5_Consumption-of-vegetables-and-fruits-daily_Survey-data.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays concernant les données d'enquête sur la consommation de fruits et légumes. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00020 1.00020 Tobacco consumption Consommation de tabac Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for tobacco consumption (including daily smokers by age and sex). <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/1_Tobacco-consumption.pdf">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur la consommation de tabac (y compris les fumeurs quotidiens par âge et sexe). <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/1_Tobacco-consumption.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H,AGE:OECD.ELS.HD:HCL_AGE_LVNG(1.0).H,UNIT_MEASURE:OECD.ELS.HD:HCL_UOM_LVNG(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00030 1.00030 Use of vaping products Utilisation de produits de vapotage Unhealthy lifestyles and poor environments cause millions of people to die prematurely. Smoking, harmful alcohol use, physical inactivity and obesity are the root cause of many chronic conditions. <p />This dataset presents the latest data for vaping (by age and sex). <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/2_Use-of-vaping-products.pdf">Sources and Methods</a> for detailed country-specific information. Des modes de vie malsains et des environnements néfastes entraînent la mort prématurée de millions de personnes. Le tabagisme, la consommation nocive d’alcool, la sédentarité et l’obésité sont à l’origine de nombreuses maladies chroniques. <p />Cet ensemble de données présente les dernières données sur le vapotage (par âge et sexe). <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_LVNG_Risk-Factors-for-Health/2_Use-of-vaping-products.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED AGE=_T,SEX=_T,MEASURE=M,TIME_PERIOD_START=2023-W01 DEFAULT Mortality by week Mortalité hebdomadaire This dataset presents the latest data on all-cause death statistics, excess mortality and COVID-19 deaths, by week, for all OECD countries for which data are available. Please refer to the Methodological Note below for details on methods of calculation and caution regarding cross-country comparisons. Sources by country are available in a separate file in Excel format. <p /><ul> <li>Read the Methodological Note <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/Methodology_All-cause-Excess-and-COVID-19-deaths_OECD.pdf">All-cause, Excess and COVID-19 deaths</a></li> <li>Access <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/df_excess_death_week_metadata.xlsx">additional information on sources by country</a></li> </ul> <p />WARNING: Reporting of the number of All-cause and COVID-19 deaths particularly for the most recent weeks may be only partial and subject to significant revision. The calculated values for excess deaths for the most recent weeks are therefore also subject to significant revision. Cet ensemble de données présente les chiffres les plus récents sur les statistiques de mortalité toutes causes confondues, la surmortalité et les décès dus au COVID-19, par semaine, pour tous les pays de l'OCDE pour lesquels des données sont disponibles. Veuillez vous référer à la note méthodologique ci-dessous pour plus de détails sur les méthodes de calcul et les précautions concernant les comparaisons entre pays. Les sources par pays sont disponibles dans un fichier séparé au format Excel. <p /><ul> <li>Lire la note méthodologique <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/Methodology_All-cause-Excess-and-COVID-19-deaths_OECD.pdf">All-cause, Excess and COVID-19 deaths</a></li> <li>Accédez à des <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/df_excess_death_week_metadata.xlsx">informations supplémentaires sur les sources par pays</a></li> </ul> <p />AVERTISSEMENT : La déclaration du nombre de décès toutes causes confondues et dus au COVID-19, en particulier au cours des semaines les plus récentes, peut n'être que partielle et sujette à des révisions significatives. Les valeurs calculées pour la surmortalité pour les semaines les plus récentes sont donc également sujettes à des révisions significatives. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED AGE=_T,SEX=_T,MEASURE=MCVD19,TIME_PERIOD_START=2023-W01 DEFAULT COVID-19 mortality by week Mortalité hebdomadaire due à la COVID-19 This dataset presents the latest data on COVID-19 deaths by week, for all OECD countries for which data are available. Please refer to the Methodological Note below for details on methods of calculation and caution regarding cross-country comparisons. Sources by country are available in a separate file in Excel format. <p /><ul> <li>Read the Methodological Note <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/Methodology_All-cause-Excess-and-COVID-19-deaths_OECD.pdf">All-cause, Excess and COVID-19 deaths</a></li> <li>Access <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/df_excess_death_week_metadata.xlsx">additional information on sources by country</a></li> </ul> <p />WARNING: Reporting of the number of All-cause and COVID-19 deaths particularly for the most recent weeks may be only partial and subject to significant revision. The calculated values for excess deaths for the most recent weeks are therefore also subject to significant revision. Cet ensemble de données présente les chiffres les plus récents sur les décès hebdomadaires dus au COVID-19, pour tous les pays de l'OCDE pour lesquels des données sont disponibles. Veuillez vous référer à la note méthodologique ci-dessous pour plus de détails sur les méthodes de calcul et les précautions concernant les comparaisons entre pays. Les sources par pays sont disponibles dans un fichier séparé au format Excel. <p /><ul> <li>Lire la note méthodologique <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/Methodology_All-cause-Excess-and-COVID-19-deaths_OECD.pdf">All-cause, Excess and COVID-19 deaths</a></li> <li>Accédez à des <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/df_excess_death_week_metadata.xlsx">informations supplémentaires sur les sources par pays</a></li> </ul> <p />AVERTISSEMENT : La déclaration du nombre de décès toutes causes confondues et dus au COVID-19, en particulier au cours des semaines les plus récentes, peut n'être que partielle et sujette à des révisions significatives. Les valeurs calculées pour la surmortalité pour les semaines les plus récentes sont donc également sujettes à des révisions significatives. NonProductionDataflow true TIME_PERIOD LAYOUT_ROW REF_AREA,UNIT_MEASURE LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED AGE=_T,SEX=_T,MEASURE=EM,TIME_PERIOD_START=2023-W01 DEFAULT Excess mortality by week Surmortalité hebdomadaire This dataset presents the latest data on excess mortality by week, for all OECD countries for which data are available. Please refer to the Methodological Note below for details on methods of calculation and caution regarding cross-country comparisons. Sources by country are available in a separate file in Excel format. <p /><ul> <li>Read the Methodological Note <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/Methodology_All-cause-Excess-and-COVID-19-deaths_OECD.pdf">All-cause, Excess and COVID-19 deaths</a></li> <li>Access <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/df_excess_death_week_metadata.xlsx">additional information on sources by country</a></li> </ul> <p />WARNING: Reporting of the number of All-cause and COVID-19 deaths particularly for the most recent weeks may be only partial and subject to significant revision. The calculated values for excess deaths for the most recent weeks are therefore also subject to significant revision. Cet ensemble de données présente les chiffres les plus récents sur la surmortalité hebdomadaire, pour tous les pays de l'OCDE pour lesquels des données sont disponibles. Veuillez vous référer à la note méthodologique ci-dessous pour plus de détails sur les méthodes de calcul et les précautions concernant les comparaisons entre pays. Les sources par pays sont disponibles dans un fichier séparé au format Excel. <p /><ul> <li>Lire la note méthodologique <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/Methodology_All-cause-Excess-and-COVID-19-deaths_OECD.pdf">All-cause, Excess and COVID-19 deaths</a></li> <li>Accédez à des <a href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_MORTALITY/df_excess_death_week_metadata.xlsx">informations supplémentaires sur les sources par pays</a></li> </ul> <p />AVERTISSEMENT : La déclaration du nombre de décès toutes causes confondues et dus au COVID-19, en particulier au cours des semaines les plus récentes, peut n'être que partielle et sujette à des révisions significatives. Les valeurs calculées pour la surmortalité pour les semaines les plus récentes sont donc également sujettes à des révisions significatives. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG MEASURE=DISCHARGE,MODE_PROVISION=_T+HBEDT,FUNCTION=_T+HC1,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Hospital aggregates Agrégats hospitaliers This dataset reports data for key hospital aggregates: inpatient care discharges and average length of stay; and curative care discharges, bed-days, average length of stay and occupancy rate. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/4_Hospital-aggregates.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur les principaux agrégats hospitaliers : sorties de soins hospitaliers et durée moyenne de séjour ; et sorties de soins curatifs, jours-lits, durée moyenne de séjour et taux d'occupation. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/4_Hospital-aggregates.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OCCUPATION,CONSULTATION_TYPE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG MEDICAL_PROCEDURE,DIAGNOSTIC_TYPE,HEALTH_CARE_PROVIDER,FUNCTION,MODE_PROVISION,CARE_TYPE,HEALTH_FACILITY,AGE,SEX,DATA_SRCE,MARKET_TYPE,PHARMACEUTICAL,WAITING_TIME NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Consultations Consultations This dataset reports data for doctors consultations and dentists consultations (in all settings). The data refer to the average number of consultations/visits with a physician or a dentist per person per year. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/1_Consultations.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente les données relatives aux consultations de médecins et de dentistes (tous lieux confondus). Les données se rapportent au nombre moyen de consultations/visites chez un médecin ou un dentiste par personne et par an. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/1_Consultations.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA,PROVIDER LAYOUT_ROW TIME_PERIOD,HEALTH_FACILITY LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2015,UNIT_MEASURE=EXM_10P3PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Diagnostic exams Examens diagnostiques An exam is defined as a medical imaging session to study one (or more than one) body part that yields one or more views for diagnostic purposes. <p />Data are collected for Computed Tomography (CT) exams, Magnetic Resonance Imaging (MRI) exams, and Positron Emission Tomography (PET) exams. Data are collected for the total number of exams and for the breakdown between hospitals and ambulatory care providers. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/6_Diagnostic-exams.pdf">Sources and Methods</a> for detailed country-specific information. Un examen est défini comme une séance d'imagerie médicale visant à étudier une ou plusieurs parties du corps et permettant d'obtenir une ou plusieurs vues à des fins diagnostiques. <p />Les données sont collectées pour les examens de tomodensitométrie (TDM), d'imagerie par résonance magnétique (IRM) et de tomographie par émission de positons (TEP). Les données sont collectées pour le nombre total d'examens et pour leur répartition entre les hôpitaux et les prestataires de soins ambulatoires. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/6_Diagnostic-exams.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG DIAGNOSTIC_TYPE=DICDA100,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Hospital average length of stay by diagnostic categories Durée moyenne de séjour en hôpital par catégories de diagnostic Average length of stay (ALOS) is calculated by dividing the number of bed-days by the number of discharges during the year. <p />The list of diagnostic categories is based on the International Shortlist for Hospital Morbidity Tabulation (ISHMT). Click <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_2_International-Shortlist-for-Hospital-Morbidity-Tabulation-ISHMT.xlsx">here</a> to see the complete shortlist with ICD-10 and ICD-9 codes. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_1_Hospital-discharges-and-ALOS-by-diagnostic-categories.pdf">Sources and Methods</a> for detailed country-specific information. La durée moyenne de séjour (DMS) est calculée en divisant le nombre de jours d'hospitalisation par le nombre de sorties au cours de l'année. <p />La liste des catégories diagnostiques est basée sur la Liste restreinte internationale pour la tabulation de la morbidité hospitalière (ISHMT). Cliquez <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_2_International-Shortlist-for-Hospital-Morbidity-Tabulation-ISHMT.xlsx">ici</a> pour consulter la liste restreinte complète avec les codes CIM-10 et CIM-9. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_1_Hospital-discharges-and-ALOS-by-diagnostic-categories.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DIAGNOSTIC_TYPE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2010,SEX=_T,DIAGNOSTIC_TYPE=DICDA100,UNIT_MEASURE=DSC_10P5PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Hospital discharges by diagnostic categories Sorties d'hôpital par catégories de diagnostic A hospital discharge is the formal release of a patient from a hospital. <p />The list of diagnostic categories is based on the International Shortlist for Hospital Morbidity Tabulation (ISHMT). Click <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_2_International-Shortlist-for-Hospital-Morbidity-Tabulation-ISHMT.xlsx">here</a> to see the complete shortlist with ICD-10 and ICD-9 codes. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_1_Hospital-discharges-and-ALOS-by-diagnostic-categories.pdf">Sources and Methods</a> for detailed country-specific information. Une sortie d'hôpital est la sortie officielle d'un patient de l'hôpital. <p />La liste des catégories diagnostiques est basée sur la Liste restreinte internationale pour la tabulation de la morbidité hospitalière (ISHMT). Cliquez <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_2_International-Shortlist-for-Hospital-Morbidity-Tabulation-ISHMT.xlsx">ici</a> pour consulter la liste restreinte complète avec les codes CIM-10 et CIM-9. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/5_1_Hospital-discharges-and-ALOS-by-diagnostic-categories.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DISEASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Immunisations Vaccination This dataset reports data on children immunisation, for immunisation against Diphtheria, Tetanus and Pertussis, immunisation against Measles and immunisation against Hepatitis B, as well as immunisation against influenza among the population aged 65 and over. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/2_Immunisation.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur la vaccination des enfants, contre la diphtérie, le tétanos et la coqueluche, contre la rougeole et contre l'hépatite B, ainsi que contre la grippe parmi la population âgée de 65 ans et plus. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/2_Immunisation.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE,DISEASE,PROVIDER,MEDICAL_PROCEDURE,DIAGNOSTIC_TYPE,FUNCTION,MODE_PROVISION,PROVIDER,OCCUPATION,CARE_TYPE,CONSULTATION_TYPE,HEALTH_FACILITY,DATA_SRCE,WAITING_TIME LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG DISEASE=_Z,CANCER_SITE=_Z,PROVIDER=_Z,HEALTH_FACILITY=_Z NOT_DISPLAYED MEASURE=IMMUN,TIME_PERIOD_START=2010 DEFAULT COMBINED_MEASURE:MEASURE,SEX,AGE,DISEASE,PROVIDER,MEDICAL_PROCEDURE,DIAGNOSTIC_TYPE,FUNCTION,MODE_PROVISION,PROVIDER,OCCUPATION,CARE_TYPE,CONSULTATION_TYPE,HEALTH_FACILITY,DATA_SRCE,WAITING_TIME;COMBINED_UNIT_MEASURE:UNIT_MEASURE,ADJUSTMENT COMBINED_CONCEPTS COMBINED_MEASURE:Measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure;COMBINED_UNIT_MEASURE:Unité de mesure Healthcare utilisation Utilisation des ressources en santé This dataset reports data on key aspects of the utilisation of healthcare, such as consultations with doctors and dentists, immunisation of children and the population aged 65+, cancer screening, hospital indicators such as discharges or average length of stay, diagnostic exams, surgical procedures and waiting times. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/Healthcare-Utilisation.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur des aspects clés de l'utilisation des soins de santé, tels que les consultations chez les médecins et les dentistes, la vaccination des enfants et de la population âgée de 65 ans et plus, le dépistage du cancer, les indicateurs hospitaliers tels que les sorties ou la durée moyenne de séjour, les examens diagnostiques, les interventions chirurgicales et les temps d'attente. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/Healthcare-Utilisation.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA,SEX LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CANCER_SITE,DATA_SRCE,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG MEDICAL_PROCEDURE,OCCUPATION,DIAGNOSTIC_TYPE,FUNCTION,AGE,WAITING_TIME NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure CANCER_SITE:OECD.ELS.HD:HCL_CANCER_SITE_SCREEN(1.0).H HIER_CONTEXT Screening Dépistage This dataset reports survey data and programme data for three types of cancer screening: breast cancer, cervical cancer and colorectal cancer. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/3_Screening_Survey-and-programme-data.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données d’enquête et des données de programme pour trois types de dépistage du cancer : le cancer du sein, le cancer du col de l’utérus et le cancer colorectal. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/3_Screening_Survey-and-programme-data.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG TIME_PERIOD_START=2010,MEDICAL_PROCEDURE=CM131_138 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Surgical procedures Procédures chirurgicales This dataset reports data for a selection of surgical procedures (by ICD-9-CM). <p />Surgical procedures are medical interventions involving an incision with instruments usually performed in an operating theatre and normally involving anaesthesia and/or respiratory assistance. Surgical procedures can be performed either as inpatient cases, day cases or, in certain instances, as outpatient cases. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/7_Surgical-procedures.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente les données relatives à une sélection d'interventions chirurgicales (selon la CIM-9-CM). <p />Les interventions chirurgicales sont des interventions médicales impliquant une incision avec des instruments, généralement réalisées au bloc opératoire et impliquant généralement une anesthésie et/ou une assistance respiratoire. Les interventions chirurgicales peuvent être réalisées en hospitalisation, en ambulatoire ou, dans certains cas, pour des patients de jour. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/7_Surgical-procedures.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,MEDICAL_PROCEDURE,WAITING_TIME,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OCCUPATION,DIAGNOSTIC_TYPE,FUNCTION,AGE,SEX,MODE_PROVISION,CARE_TYPE,HEALTH_FACILITY,DATA_SRCE NOT_DISPLAYED TIME_PERIOD_START=2010,MEDICAL_PROCEDURE=CM131_138,WAITING_TIME=WTSP,UNIT_MEASURE=PT_PAT_WAIT_M_GT3 DEFAULT COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Measure COMBINED_MEASURE:Mesure Waiting times Temps d'attente This dataset reports data on waiting times for selected elective surgeries (by ICD-9-CM). <p />Waiting times from specialist assessment to treatment includes the time elapsed for patients on the non-emergency (elective) surgery waiting list from the date they were added to the waiting list for the procedure (following specialist assessment) to the date they were admitted for treatment. <p />Waiting times of patients on the list includes the time elapsed for patients on the non-emergency (elective) surgery waiting list from the date they were added to the waiting list for the procedure (following specialist assessment) to a designated census date. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/8_Waiting-times-for-selected-elective-surgeries.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente les temps d'attente pour certaines interventions chirurgicales électives (selon la CIM-9-CM). <p />Les temps d'attente entre l'évaluation par un spécialiste et le traitement incluent le temps écoulé pour les patients inscrits sur la liste d'attente pour une intervention chirurgicale non urgente (élective) entre la date d'inscription sur la liste d'attente pour l'intervention (suite à l'évaluation par un spécialiste) et la date d'admission pour le traitement. <p />Les temps d'attente des patients inscrits sur la liste incluent le temps écoulé pour les patients inscrits sur la liste d'attente pour une intervention chirurgicale non urgente (élective) entre la date d'inscription sur la liste d'attente pour l'intervention (suite à l'évaluation par un spécialiste) et une date de recensement déterminée. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROC_Healthcare-Utilisation/8_Waiting-times-for-selected-elective-surgeries.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3,OBS_STATUS4 LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT Healthcare coverage Couverture des soins de santé The share of a population covered for a core set of health services offers an initial measure of access to care and financial protection. Most OECD countries have achieved universal or near-universal coverage for a core set of health services, which usually include consultations with doctors, tests and examinations, and hospital care. <p />This dataset presents the latest data for government (compulsory) health insurance, and for the various types of voluntary health insurance coverage. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROT_Healthcare-Coverage/Healthcare-Coverage.pdf">Sources and Methods</a> for detailed country-specific information. La part d’une population couverte par un ensemble de services de santé de base offre une première mesure de l’accès aux soins et à la protection financière. La plupart des pays de l’OCDE ont atteint une couverture universelle ou quasi universelle pour un ensemble de services de santé de base, qui comprennent généralement des consultations avec des médecins, des tests et examens et des soins hospitaliers. <p />Cet ensemble de données présente les dernières données sur l'assurance maladie gouvernementale (obligatoire) et sur les différents types de couverture d'assurance maladie volontaire. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PROT_Healthcare-Coverage/Healthcare-Coverage.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P DEFAULT SEARCH_WEIGHT 1.00120 1.00120 Caring personnel (personal care workers) Aides-soignants <p>This dataset provides data on the number of <strong>caring personnel (personal care workers) by status</strong> (<em>ie.</em> <strong>practising caring personnel or professionally active caring personnel</strong>).</p> <p><strong>Caring personnel (personal care workers)</strong> include both Healthcare assistants in institutions (ISCO-08 5321) and Home-based personal care workers (ISCO-08 5322).</p> <p><strong>Practising caring personnel (personal care workers)</strong> provide direct personal care and assistance with activities of daily living.</p> <p><strong>Professionally active caring personnel (personal care workers)</strong> include practising caring personnel and other caring personnel for whom their education is a prerequisite for the execution of the job.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=140ce391-7f8b-4d31-9458-be57e1ca7bdc">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre d'<strong>aides-soignants par statut</strong> (à savoir aides-soignants en exercice ou aides-soignants professionnellement actifs).</p> <p><strong>Les aides-soignants</strong> comprennent les aides-soignants en établissement (CITP-08 5321) et les aides-soignants à domicile (CITP-08 5322).</p> <p><strong>Les aides-soignants en exercice</strong> fournissent des soins personnels directs et une assistance aux activités de la vie quotidienne.</p> <p><strong>Les aides-soignants professionnellement actifs</strong> comprennent les aides-soignants en exercice et les aides-soignants pour lesquels la formation est une condition préalable à l'exercice de leur profession.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=140ce391-7f8b-4d31-9458-be57e1ca7bdc">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P DEFAULT SEARCH_WEIGHT 1.00110 1.00110 Dentists Dentistes <p>This dataset provides data on the number of <strong>dentists by status</strong> (<em>ie.</em> practising dentists, professionally active dentists, and dentists licenced to practice).</p> <p><strong>Practising dentists</strong> provide services for patients. They include stomatologists, dental and maxillofacial surgeons.</p> <p><strong>Professionally active dentists</strong> are practising dentists and other dentists for whom their education in dentistry / stomatology is a prerequisite for the execution of the job.</p> <p><strong>Dentists licensed to practice</strong> include practising and other (non-practising) dentists, who are registered and entitled to practice as healthcare professionals in the field of dentistry. They include stomatologists, dental and maxillofacial surgeons.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c6f11454-feff-4fd3-b267-38035e61603e">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de <strong>dentistes par statut</strong> (à savoir dentistes en exercice, dentistes professionnellement actifs et dentistes habilités à exercer).</p> <p><strong>Les dentistes en exercice</strong> fournissent des services aux patients. Ils comprennent les stomatologues, les chirurgiens-dentistes et les chirurgiens maxillo-faciaux.</p> <p><strong>Les dentistes professionnellement actifs</strong> sont les dentistes en exercice et les autres dentistes pour lesquels la formation en dentisterie/stomatologie est une condition préalable à l'exercice de la profession.</p> <p><strong>Les dentistes habilités à exercer</strong> comprennent les dentistes en exercice et les autres dentistes (non en exercice), qui sont inscrits et autorisés à exercer en tant que professionnels de santé dans le domaine de la dentisterie. Ils comprennent les stomatologues, les chirurgiens-dentistes et les chirurgiens maxillo-faciaux.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c6f11454-feff-4fd3-b267-38035e61603e">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF=PHYS+MIDW+MINU+DNST+PHST,UNIT_MEASURE=PS+10P5HB DEFAULT HEALTH_PROF:OECD.ELS.HD:HCL_HEALTH_PROF_HOSP_GRAD(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00070 1.00070 Graduates Diplômés <p>This dataset provides data on <strong>graduates</strong> by category:</p> <li>Medical graduates</li> <li>Dentists graduates</li> <li>Pharmacists graduates</li> <li>Midwives graduates</li> <li>Nursing graduates</li> <li>Professional nursing graduates</li> <li>Associate professional nursing graduates</li> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2e4edb4-1d56-4763-9020-32da290bd528">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur les <strong>diplômés</strong> par catégorie :</p> <li>Diplômés en médecine</li> <li>Diplômés en odontologie</li> <li>Diplômés en pharmacie</li> <li>Diplômés en études de sage-femme</li> <li>Diplômés en études d'infirmier</li> <li>Diplômés en études d'infirmier qualifié</li> <li>Diplômés en études d'infirmier auxiliaire qualifié</li> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2e4edb4-1d56-4763-9020-32da290bd528">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PS,HEALTH_PROF=_T DEFAULT HEALTH_PROF:OECD.ELS.HD:HCL_HEALTH_PROF_HOSP_EMP(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00080 1.00080 Hospital employment Emploi à l'hôpital <p>This dataset provides data on <strong>total hospital employment</strong> (<em>ie.</em> persons employed in general and specialty hospitals) by category:</p> <ul> <li>Physicians</li> <li>Professional nurses and midwives</li> <li>Associate professional nurses</li> <li>Healthcare assistants</li> <li>Other health service providers</li> <li>Other staff</li> </ul> <p>Data are presented by number of persons employed (head counts), and number of full-time equivalent (FTE) persons.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=451cea97-3f37-4e7c-b287-27c10df4ce33">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur l'<strong>emploi hospitalier total</strong> (c'est-à-dire les personnes employées dans les hôpitaux généraux et spécialisés) par catégorie :</p> <ul> <li>Médecins</li> <li>Infirmiers qualifiés et sages-femmes</li> <li>Infirmiers auxiliaires</li> <li>Aides-soignants</li> <li>Autres prestataires de services de santé</li> <li>Autres personnels</li> </ul> <p>Les données sont présentées en nombre de personnes employées (effectifs) et en équivalent temps plein (ETP).</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=451cea97-3f37-4e7c-b287-27c10df4ce33">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=PS+10P3HB,HEALTH_PROF=EMPLGENE+EMPLSPMP DEFAULT SEARCH_WEIGHT 1.00140 1.00140 Midwives Sages-femmes <p>This dataset provides data on the number of midwives by status (<em>ie.</em> practising midwives, professionally active midwives, and midwives licenced to practice).</p> <p><strong>Practising midwives</strong> provide services directly to patients.</p> <p><strong>Professionally active midwives</strong> include practising and other (non-practising) midwives for whom their education is a prerequisite for the execution of the job.</p> <p><strong>Midwives licensed to practice</strong> have acquired the requisite education and qualifications to be registered and/or legally licensed to practice midwifery. They include both practising and other (non-practising) midwives.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=efe22f54-fc67-48a2-80fa-9a0e433c67a5">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de sages-femmes par statut (à savoir sages-femmes en exercice, sages-femmes professionnellement actives et sages-femmes habilitées à exercer).</p> <p><strong>Les sages-femmes en exercice</strong> fournissent des services directement aux patientes.</p> <p><strong>Les sages-femmes professionnellement actives</strong> comprennent les sages-femmes en exercice et les autres sages-femmes (non en exercice) pour lesquelles la formation est une condition préalable à l'exercice de la profession.</p> <p><strong>Les sages-femmes habilitées à exercer</strong> ont acquis la formation et les qualifications requises pour être enregistrées et/ou légalement autorisées à exercer la profession de sage-femme. Elles comprennent à la fois les sages-femmes en exercice et les autres sages-femmes (non en exercice).</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=efe22f54-fc67-48a2-80fa-9a0e433c67a5">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=PS+10P3HB,HEALTH_PROF=MINU DEFAULT SEARCH_WEIGHT 1.00130 1.00130 Nurses Personnel infirmier <p>This dataset provides data on the number of nurses by status (<em>ie.</em> practising nurses, professionally active nurses, and nurses licenced to practice) and category (<em>ie.</em> Professional nurses and associate professional nurses).</p> <p><strong>Practising nurses</strong> provide services directly to patients.</p> <p><strong>Professionally active nurses</strong> include practising nurses and other nurses for whom their education is a prerequisite for the execution of the job.</p> <p><strong>A nurse licensed to practice</strong> has completed a programme of nursing education and is qualified and authorised in his/her country to practice nursing. They include practising and other (non-practising) nurses.</p> <p><strong>Professional nurses</strong> assume responsibility for the planning and management of the care of patients, including the supervision of other healthcare workers, working autonomously or in teams with medical doctors and others in the practical application of preventive and curative measures.</p> <p><strong>Associate professional nurses</strong> generally work under the supervision of, and in support of implementation of healthcare, treatment and referrals plans established by medical, nursing and other health professionals.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=605ac40f-d44f-4253-a0e3-073aa2282149">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre d'infirmiers par statut (personnel infirmier en exercice, personnel infirmier professionnellement actif et personnel infirmier habilité à exercer) et par catégorie (personnel infirmier qualifié et personnel infirmier auxiliaire qualifié).</p> <p><strong>Les infirmiers en exercice</strong> fournissent des services directement aux patients.</p> <p><strong>Les infirmiers professionnellement actifs</strong> comprennent les infirmiers en exercice et les autres infirmiers pour lesquels la formation est une condition préalable à l'exercice de la profession.</p> <p><strong>Les infirmiers autorisés à exercer</strong> ont suivi un programme de formation en soins infirmiers et sont qualifiés et autorisés dans leur pays à exercer la profession d'infirmier. Ils comprennent les infirmiers en exercice et les autres infirmiers (non en exercice).</p> <p><strong>Les infirmiers qualifiés</strong> assument la responsabilité de la planification et de la gestion des soins aux patients, y compris la supervision des autres professionnels de santé, travaillant de manière autonome ou en équipe avec des médecins et d'autres professionnels à l'application pratique des mesures préventives et curatives.</p> <p><strong>Les infirmiers auxiliaires qualifiés</strong> travaillent généralement sous la supervision et en soutien à la mise en œuvre des plans de soins, de traitement et d'orientation établis par des médecins, des infirmiers et d'autres professionnels de la santé.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=605ac40f-d44f-4253-a0e3-073aa2282149">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P,UNIT_MEASURE=PS+10P3HB,HEALTH_PROF=MINU DEFAULT SEARCH_WEIGHT 1.00130 1.00130 Nurses by age and sex Personnel infirmier par âge et sexe <p>This dataset provides data on the number of nurses by <strong>age groups and sex</strong>. Age groups include less than 25, 25-34, 35-44, 45-54, 55-64, 65-74, 75+, for total, female and male nurses.</p> <p>The breakdown by age and gender is provided for practising nurses. If not available, the data are reported for professionally active nurses or nurses licensed to practise.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fcd75661-2b56-4eba-a255-21d8b7726292">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre d'infirmiers par <strong>groupes d'âge et sexe</strong>. Les groupes d'âge comprennent les moins de 25 ans, les 25-34 ans, les 35-44 ans, les 45-54 ans, les 55-64 ans, les 65-74 ans et les 75 ans et plus, pour le total, les infirmières et les infirmiers.</p> <p>La répartition par âge et par sexe est fournie pour le personnel infirmier en exercice. En l'absence de données disponibles, les données sont présentées pour les infirmiers professionnellement actifs ou les infirmiers habilités à exercer.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fcd75661-2b56-4eba-a255-21d8b7726292">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P DEFAULT SEARCH_WEIGHT 1.00100 1.00100 Pharmacists Pharmaciens <p>This dataset provides data on the number of <strong>pharmacists by status</strong> (<em>ie.</em> practising pharmacists, professionally active pharmacists, and pharmacists licenced to practice).</p> <p><strong>Practising pharmacists</strong> prepare, dispense or sell medicaments and drugs for patients and provide advice.</p> <p><strong>Professionally active pharmacists</strong> are practising pharmacists and other pharmacists for whom their education in pharmacy is a prerequisite for the execution of the job.</p> <p><strong>Pharmacists licensed to practice</strong> include practising and other (non-practising) pharmacists who are registered and entitled to practice.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=74b03a34-fc9e-4c7b-a1b2-63ff44b31adc">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de <strong>pharmaciens par statut</strong> (à savoir pharmaciens en exercice, pharmaciens professionnellement actifs et pharmaciens habilités à exercer).</p> <p><strong>Les pharmaciens en exercice</strong> préparent, délivrent ou vendent des médicaments aux patients et prodiguent des conseils.</p> <p><strong>Les pharmaciens professionnellement actifs</strong> sont les pharmaciens en exercice et les autres pharmaciens pour lesquels la formation en pharmacie est une condition préalable à l'exercice de la profession.</p> <p><strong>Les pharmaciens habilités à exercer</strong> comprennent les pharmaciens en exercice et les autres pharmaciens (non en exercice) inscrits et autorisés à exercer.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=74b03a34-fc9e-4c7b-a1b2-63ff44b31adc">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_PROF_ACTIVITY_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_PROF_ACTIVITY_STATUS=P DEFAULT SEARCH_WEIGHT 1.00090 1.00090 Physiotherapists Physiothérapeutes <p>This dataset provides data on the number of <strong>practising physiotherapists</strong>.</p> <p><strong>Practising physiotherapists</strong> provide services for patients.</p> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=36abbb86-b2ae-44dc-9daf-b4933efaffb2">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de <strong>physiothérapeutes en exercice</strong>.</p> <p><strong>Les physiothérapeutes en exercice</strong> fournissent des services aux patients.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=36abbb86-b2ae-44dc-9daf-b4933efaffb2">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,WORKER_STATUS=ICSE93_1,PRICE_BASE=V,UNIT_MEASURE=XDC DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SEARCH_WEIGHT 1.00060 1.00060 Remuneration of health professionals Rémunération des professionnels de santé <p>This dataset provides data on the remuneration of health professionals <strong>by category</strong> (<em>ie.</em> general practitioners, specialists, and hospital nurses) and <strong>by status </strong>(<em>ie.</em> salaried and self-employed).</p> <p><strong>General practice</strong> includes fully-qualified general practitioners (GPs). Physicians in training should normally be excluded.</p> <p><strong>Specialists </strong>include fully-qualified physicians who have specialised and work primarily in areas other than general practice. Physicians in training should normally be excluded.</p> <p><strong>Salaried hospital nurses </strong>include registered nurses actively practising in public and private hospitals and who receive most of their income via a salary.</p> <p><strong>Salaried:</strong> Employees and who receive most of their income via a salary.</p> <p><strong>Self-employed</strong>: Physicians who are primarily non-salaried. That is, they are either self-employed, or operate independently, usually receiving (mainly) either capitation or fee-for-service reimbursement.</p> <p>For physicians who are both salaried and operate in a self-employed or independent capacity, they are presented in the category under which they receive the majority of their compensation.</p> <p>Remuneration is defined as the average gross annual income, including social security contributions and income taxes payable by the employee.</p> <p><strong>NOTE:<strong> Average salaries for healthcare professionals are now converted to USD PPPs using PPPs for private consumption to bring them in line with average earnings calculations across the OECD.</p> <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_REAC_Healthcare-Resources/13_Remuneration-of-health-professionals.pdf">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur la rémunération des professionnels de santé par catégorie (médecins généralistes, spécialistes et personnel infirmier en hôpitaux) et par statut (salariés et libéraux).</p> <p>La <strong>médecine générale</strong> comprend les médecins généralistes diplômés. Les médecins en formation doivent normalement être exclus.</p> <p>Les <strong>spécialistes<strong> comprennent les médecins diplômés qui se sont spécialisés et exercent principalement dans des domaines autres que la médecine générale. Les médecins en formation doivent normalement être exclus.</p> <p>Le <strong>personnel infirmier salarié en hôpitaux comprend le personnel infirmier diplômé exerçant activement dans les hôpitaux publics et privés et dont la majeure partie des revenus provient d'un salaire.</p> <p><strong>Salariés<strong> : Employés dont la majeure partie des revenus provient d'un salaire.</p> <p><strong>Indépendants<strong> : Médecins principalement non salariés. Autrement dit, ils sont soit libéraux soit indépendants, généralement rémunérés à la capitation ou à l'acte.</p> <p>Les médecins à la fois salariés et exerçant à titre libéral ou en indépendant sont classés dans la catégorie qui leur permet de percevoir la majeure partie de leur rémunération.</p> <p>La rémunération est définie comme le revenu annuel brut moyen, incluant les cotisations de sécurité sociale et l'impôt sur le revenu dus par le salarié.</p> <p><strong>REMARQUE<strong> : Les salaires moyens des professionnels de santé sont désormais convertis en USD PPA, en utilisant les PPA pour la consommation privée, afin de les aligner sur le calcul des revenus moyens dans les pays de l'OCDE.</p> <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_REAC_Healthcare-Resources/13_Remuneration-of-health-professionals.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,CARE_TYPE=_T,UNIT_MEASURE=BD+10P3HB DEFAULT HEALTH_FUNCTION:OECD.ELS.HD:HCL_HEALTH_FUNCTION_REAC(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00030 1.00030 Hospital beds by function of healthcare Lits en hôpitaux par fonction de soins de santé <p>This dataset provides data on the number of <strong>total hospitals beds by function of healthcare</strong> and by <strong>type of care</strong> (<em>ie.</em> somatic or psychiatric care).</p> <p>Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:</p> <li><strong>Curative care (acute care) beds in hospitals</strong></li> <li><strong>Rehabilitative care beds in hospitals</strong></li> <li><strong>Long-term care beds in hospitals</strong></li> <li>All <strong>other beds in hospitals</strong> not elsewhere classified</li> <p>Bed numbers according to these functional categories are also broken down between:</p> <li><strong>Somatic care beds</strong> in hospitals</strong></li> <li><strong>Psychiatric care beds</strong> in hospitals</strong></li> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=261f59d6-0bbe-4c86-ae5c-0dccd5f59f3e">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre total de lits d'hôpital par fonction de soins de santé et par type de soins (soins somatiques ou psychiatriques).</p> <p>Le nombre total de lits d'hôpital correspond à tous les lits d'hôpital (HP.1) régulièrement entretenus et dotés en personnel et immédiatement disponibles pour la prise en charge des patients admis. Il s'agit de la somme des catégories suivantes :</p> <li><strong>Lits de soins curatifs (soins aigus) dans les hôpitaux</strong></li> <li><strong>Lits de soins de réadaptation dans les hôpitaux</strong></li> <li><strong>Lits de soins de longue durée dans les hôpitaux</strong></li> <li>Tous les <strong>autres lits d'hôpitaux</strong> non classés ailleurs</li> <p>Le nombre de lits selon ces catégories fonctionnelles est également réparti entre :</p> <li><strong>Lits de soins somatiques</strong> dans les hôpitaux</strong></li> <li><strong>Lits de soins psychiatriques</strong> dans les hôpitaux</strong></li> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=261f59d6-0bbe-4c86-ae5c-0dccd5f59f3e">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,STATISTICAL_OPERATION LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,MEASURE=HBU_ICU_A,STATISTICAL_OPERATION=MEAN+_Z,UNIT_MEASURE=10P5HB+BD+PT_BD_AV_ICU DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,STATISTICAL_OPERATION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SEARCH_WEIGHT 1.00020 1.00020 Intensive care unit (ICU) beds and use Unités de soins intensifs - lits et utilisation <p>This dataset provides data on the number of <strong>intensive care unit (ICU)</strong> beds and use.</p> <p>Data are provided as follows:</p> <li><strong>Total ICU beds</strong> (intensive care of Levels 1 to 3), including all adult, neonatal and paediatric ICU beds</li> <li><strong>Total adult ICU beds</strong> (intensive care of Levels 1 to 3)</li> <li><strong>Critical care adult beds</strong> (intensive care of Levels 2 and 3)</li> <li><strong>Total neonatal ICU beds</strong></li> <li><strong>Total paediatric ICU beds</strong></li> <li><strong>Total adult ICU bed-days</strong></li> <li><strong>Total adult ICU occupancy rate</strong></li> <li><strong>Days with total adult ICU occupancy rate over 80% and over 95%</strong></li> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=70b46458-9ac4-4a31-943e-f5ee50e9dbef">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre de lits en <strong>unité de soins intensifs</strong> et leur utilisation.</p> <p>Les données sont présentées comme suit :</p> <li><strong>Nombre total de lits en soins intensifs</strong> (de niveaux 1 à 3), incluant tous les lits de soins intensifs pour adultes, nouveau-nés et enfants.</li> <li><strong>Nombre total de lits en soins intensifs pour adultes</strong> (de niveaux 1 à 3)</li> <li><strong>Nombre total de lits en soins critiques pour adultes</strong> (de niveaux 2 et 3)</li> <li><strong>Nombre total de lits en soins intensifs néonatals</strong></li> <li><strong>Nombre total de lits en soins intensifs pédiatriques</strong></li> <li><strong>Nombre total de jours de lit en soins intensifs, adultes</strong></li> <li><strong>Taux d'occupation en soins intensifs, adultes</strong></li> <li><strong>Nombre de jours avec un taux d'occupation en soins intensifs supérieur à 80 % et supérieur à 95 %, adultes</strong></li> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=70b46458-9ac4-4a31-943e-f5ee50e9dbef">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,OWNERSHIP_TYPE=_T,UNIT_MEASURE=BD+10P3HB DEFAULT SEARCH_WEIGHT 1.00040 1.00040 Hospital beds by sector Lits en hôpitaux par secteur <p>This dataset provides data on the number of <strong>total hospitals beds by sector</strong>.</p> <p>Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:</p> <li><strong>Beds in publicly owned hospitals:</strong></li> <li><strong>Beds in not-for-profit privately owned hospitals</strong></li> <li><strong>Beds in for-profit privately owned hospitals:</strong></li> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a5ead0f2-6fdd-46ce-a3de-9cef5e594446">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre total de <strong>lits d'hôpitaux par secteur</strong>.</p> <p>Le nombre total de lits d'hôpitaux correspond à tous les lits d'hôpitaux (HP.1) régulièrement entretenus et dotés en personnel, et immédiatement disponibles pour la prise en charge des patients admis. Il correspond à la somme des catégories suivantes :</p> <li><strong>Lits dans les hôpitaux publics :</strong></li> <li><strong>Lits dans les hôpitaux privés à but non-lucratif</strong></li> <li><strong>Lits dans les hôpitaux privés à but lucratif :</strong></li> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a5ead0f2-6fdd-46ce-a3de-9cef5e594446">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,OWNERSHIP_TYPE=_T,UNIT_MEASURE=HSPTL+10P6HB DEFAULT SEARCH_WEIGHT 1.00050 1.00050 Hospitals Hôpitaux <p>This dataset provides data on the number of <strong>hospitals by sector</strong>:</p> <li>Publicly owned hospitals</li> <li>Not-for-profit privately owned hospitals</li> <li>For-profit privately owned hospitals</li> <li>General hospitals</li> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b18404ad-1c20-48db-85f1-6ebc8a50c496">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur le nombre d'<strong>hôpitaux par secteur</strong>:</p> <li>Hôpitaux publics</li> <li>Hôpitaux privés à but non-lucratif</li> <li>Hôpitaux privés à but lucratif</li> <li>Hôpitaux généraux</li> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=b18404ad-1c20-48db-85f1-6ebc8a50c496">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,MEASURE=H,UNIT_MEASURE=10P6HB DEFAULT HEALTH_FUNCTION:OECD.ELS.HD:HCL_HEALTH_FUNCTION_REAC(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00190 1.00190 Healthcare provider resources Ressources physiques et techniques en santé This dataset provides data on physical resources and technology in the health sector. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=72b4250a-b036-4655-9294-edb7ef4d33ee">Sources and Methods</a> for detailed country-specific information.</p> Cet ensemble de données fournit des données sur les ressources physiques et technologiques dans le secteur de la santé. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=72b4250a-b036-4655-9294-edb7ef4d33ee">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A NOT_DISPLAYED TIME_PERIOD_START=2015,HEALTH_CARE_PROVIDER=_T,UNIT_MEASURE=10P6HB DEFAULT HEALTH_CARE_PROVIDER:OECD.ELS.HD:HCL_HEALTH_CARE_PROVIDER_REAC(1.0).H HIER_CONTEXT SEARCH_WEIGHT 1.00010 1.00010 Medical technology availability Disponibilité des technologies médicales <p>This dataset provides data on the availability of <strong>medical technology by equipment</strong> in hospitals (HP.1) and outside hospitals (HP.3-HP.4).</p> <p>Data are provided for:</p> <li><strong>Computed Tomography scanners (CT units)</strong></li> <li><strong>Magnetic Resonance Imaging units (MRI units)</strong></li> <li><strong>Positron Emission Tomography scanner units (PET units)</strong></li> <li>A <strong>Gamma camera</strong> (including Single Photon Emission Computed Tomography, SPECT)</li> <li><strong>Mammography machines</strong></li> <li><strong>Radiation therapy equipment</strong></li> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc1f6025-a243-4452-9b37-27dfa6e7cdca">Sources and Methods</a> for detailed country-specific information.</p> <p>Cet ensemble de données fournit des données sur la disponibilité des technologies médicales par équipement, dans les hôpitaux (HP.1) et hors hôpitaux (HP.3-HP.4).</p> <p>Les données concernent :</p> <li><strong>Les scanners de tomodensitométrie (TDM)</strong></li> <li><strong>Les appareils d'imagerie par résonance magnétique (IRM)</strong></li> <li><strong>Les appareils de tomographie par émission de positons (TEP)</strong></li> <li><strong>Les gamma-caméras</strong> (y compris les appareils de tomographie par émission monophotonique, SPECT)</li> <li><strong>Les appareils de mammographie</strong></li> <li><strong>Les équipements en radiothérapie</strong></li> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=fc1f6025-a243-4452-9b37-27dfa6e7cdca">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays.</p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Avoidable mortality Mortalité évitable This dataset presents data on <b>preventable, treatable and avoidable (preventable + treatable) causes of mortality.</b> Preventable and treatable causes of mortality are defined as follows: <p />- <b><u>Preventable mortality</u></b>: Causes of death that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of diseases/injuries, to reduce incidence). <br />- <b><u>Treatable (or amenable) mortality</u></b>: Causes of death that can be mainly avoided through timely and effective healthcare interventions, including secondary prevention such as screening, and treatment (i.e. after the onset of diseases, to reduce case-fatality). <p />Both indicators refer to premature mortality (under age 75). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=41dfcc30-110a-4b7a-ac94-d6b8874e27cd">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur les <b>causes de mortalité évitable grâce à la prévention et évitable grâce aux traitements - la mortalité évitable totale étant la somme de ces deux mesures (traitements + prévention).</b> Les causes de mortalité évitable grâce à la prevention et grâce aux traitements sont définies comme suit : <p />- <b><u>Mortalité évitable par la prévention</u></b> : causes de décès qui peuvent être principalement évitées grâce à des interventions efficaces de santé publique et de prévention primaire (c'est-à-dire avant l'apparition de maladies/blessures, pour réduire l'incidence). <br />- <b><u>Mortalité évitable par traitements</u></b> : causes de décès qui peuvent être principalement évitées grâce à des interventions de soins de santé rapides et efficaces, y compris la prévention secondaire telle que le dépistage et le traitement (c'est-à-dire après l'apparition des maladies, pour réduire la létalité). <p />Les deux indicateurs font référence à une mortalité prématurée (moins de 75 ans). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=41dfcc30-110a-4b7a-ac94-d6b8874e27cd">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Sickness absences from work Absences au travail pour cause de maladie This dataset presents time series on sickness absences of full-time dependent employees, annual averages. Data are expressed in number of weeks of sickness absences per year, self-reported, covering both full and part-week absences. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3802cd9f-93d2-4f3a-98af-96d1a86b2512">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur les absences pour maladie des salariés à temps plein, en moyennes annuelles. Les données sont exprimées en nombre de semaines d'absence pour maladie par an, autodéclarées, couvrant les absences d'une semaine complète et partielle. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3802cd9f-93d2-4f3a-98af-96d1a86b2512">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,CANCER_SITE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Cancer Cancer This dataset presents time series on selected cancer incidence rates, per 100 000 population. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2e1edee-6282-4c31-b6e2-543851d8012a">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur les taux d'incidence de certains cancer, pour 100 000 habitants. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2e1edee-6282-4c31-b6e2-543851d8012a">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DISEASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Communicable diseases Maladies transmissibles This dataset presents time series on Acquired Immunodeficiency Syndrome (AIDS), for the number of AIDS cases and incidence rates per 100 000 population at year of diagnosis. It also includes data on incidence of pertussis, measles, and hepatitis B, in terms of rates of reported cases per 100 000 population. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d07cc8b-05c9-4cd6-aedf-6eba3fe2be7b">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur le syndrome d'immunodéficience acquise (SIDA), pour le nombre de cas de SIDA et les taux d'incidence pour 100 000 habitants à l'année du diagnostic. Il comprend également des données sur l'incidence de la coqueluche, de la rougeole et de l'hépatite B, en termes de taux de cas signalés pour 100 000 habitants. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8d07cc8b-05c9-4cd6-aedf-6eba3fe2be7b">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DEATH_CAUSE,SEX,AGE,CALC_METHODOLOGY LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,DEATH_CAUSE=_T,CALC_METHODOLOGY=STANDARD DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Causes of mortality Causes de mortalité This dataset presents the number of deaths and age-standardised death rates by causes of deaths. The number of deaths according to sex and selected causes are extracted from the <b>World Health Organization Mortality Database</b> available at https://www.who.int/data/data-collection-tools/who-mortality-database. Detailed information on the coverage and reliability of the cause-of-death data is regularly published in World Health Statistics Annuals. <p />The selected <b>causes of death</b> presented in the OECD Health Statistics database are detailed in an Excel file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">available for download</a>, with codes according to the <b>Tenth revision of the International Classification of Diseases (ICD) along with codes from other ICD revisions used in the WHO Mortality Database.</b> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9070932a-1129-450f-8170-65fc13edcd62">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente le nombre de décès et les taux de mortalité standardisés selon l'âge, par cause de décès. Le nombre de décès selon le sexe et les causes sélectionnées est extrait de la <b>Base de données sur la mortalité de l'Organisation mondiale de la Santé</b> disponible à l'adresse https://www.who.int/data/data-collection-tools/who-mortality-database. Des informations détaillées sur la couverture et la fiabilité des données sur les causes de décès sont régulièrement publiées dans les Annuaires des statistiques sanitaires mondiales. <p />Les <b>causes de décès</b> sélectionnées présentées dans la base de données des statistiques de la santé de l'OCDE sont détaillées dans un fichier Excel <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">disponible en téléchargement</a>, avec des codes selon les <b>Dixième révision de la Classification internationale des maladies (CIM) ainsi que les codes d'autres révisions de la CIM utilisés dans la base de données de mortalité de l'OMS.</b> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9070932a-1129-450f-8170-65fc13edcd62">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,GESTATION_THRESHOLD,HEALTH_STATUS,SEX,AGE,SOCIO_ECON_STATUS,DISEASE,CANCER_SITE,CALC_METHODOLOGY LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SEX=_T,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=LFEXP,AGE=Y0,TIME_PERIOD_START=2015,UNIT_MEASURE=Y DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Health status État de santé This dataset presents core population health indicators, covering life expectancy; mortality indicators such as causes of mortality (by ICD codes), maternal and infant mortality, avoidable (preventable + treatable) mortality; potential years of life lost; perceived health status (also disaggregated by socio-economic status and education level); low birthweight; incidence of key communicable diseases; cancer incidence; injuries in road traffic accidents; and sickness absences from work. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc6e690-fa1d-40fa-a279-b726e2616433">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des indicateurs de santé de base de la population, couvrant l'espérance de vie ; des indicateurs de mortalité tels que les causes de mortalité (par codes CIM), la mortalité maternelle et infantile, la mortalité évitable (évitable + traitable) ; les années potentielles de vie perdues ; l'état de santé perçu (également ventilé par statut socio-économique et niveau d'éducation) ; le faible poids à la naissance ; l'incidence des principales maladies transmissibles ; l'incidence du cancer ; les blessures dans les accidents de la route ; et l'absence au travail pour cause de maladie. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc6e690-fa1d-40fa-a279-b726e2616433">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SEX=_T,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Injuries Accidents This dataset presents time series on injuries in road traffic accidents (number of people injured in road traffic accidents per million population.) <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2057d8ba-4e8b-4adf-b65b-7f4be8fac837">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur les blessures causées par les accidents de la route (nombre de personnes blessées dans les accidents de la route par million d'habitants). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=2057d8ba-4e8b-4adf-b65b-7f4be8fac837">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Infant health: low birthweight Santé du nourrisson : faible poids à la naissance This dataset presents time series on the number of live births weighing less than 2500 grams as a percentage of the total number of live births. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f1351f9-95d4-4ede-8118-bace54051bc0">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur le nombre de naissances vivantes pesant moins de 2 500 grammes en pourcentage du nombre total de naissances vivantes. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8f1351f9-95d4-4ede-8118-bace54051bc0">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,AGE=Y0 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Life expectancy Espérance de vie This dataset presents data on life expectancy at birth, and at ages 40, 60, 65 and 80 years old. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3607ac98-7466-4ea2-9f96-5410382b1497">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur l'espérance de vie à la naissance et à 40, 60, 65 et 80 ans. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3607ac98-7466-4ea2-9f96-5410382b1497">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,GESTATION_THRESHOLD LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG GESTATION_THRESHOLD=_Z,HEALTH_STATUS=_Z,SEX=_T,AGE=_T,SOCIO_ECON_STATUS=_Z,DISEASE=_Z,CANCER_SITE=_Z,HEALTH_STATUS=_Z,CALC_METHODOLOGY=_Z,OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=INM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Maternal and infant mortality Mortalité infantile et maternelle This dataset presents time series on infant, neonatal, perinatal and maternal mortality. Data for infant and neonatal mortality are presented either with no minimum threshold of gestation period or birthweight, or following the minimum threshold of 22 weeks (or 500 grams birthweight) <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc8f6ca-5c8d-4352-b81d-3baa28fdd000">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des séries chronologiques sur la mortalité infantile, néonatale, périnatale et maternelle. Les données sur la mortalité infantile et néonatale sont présentées soit sans seuil minimum de durée de gestation ni de poids à la naissance, soit en suivant le seuil minimum de 22 semaines (ou 500 grammes de poids à la naissance). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9dc8f6ca-5c8d-4352-b81d-3baa28fdd000">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true MEASURE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_STATUS,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,HEALTH_STATUS=G,SEX=_T,AGE=Y_GE15 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Perceived health status Perception de l'état de santé This dataset presents data on <b>perceived health status</b> (percentage of the population, aged 15 years old and over who report their health to be ‘good/very good' (or excellent) (all positive response categories), ‘fair’ (not good, not bad), ‘bad/very bad’ (all negative response categories). It also includes data on <b>perceived health status by age and gender</b> (percentage of the population who report their health to be 'good/very good' (or excellent), for various age groups). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3627d99d-fb9f-40e1-98a0-20f19c80ac5f">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur l'<b>état de santé perçu</b> (pourcentage de la population âgée de 15 ans et plus qui déclare que son état de santé est « bon/très bon » (ou excellent) (toutes les catégories de réponses positives), « passable » (ni bon ni mauvais), « mauvais/très mauvais » (toutes les catégories de réponses négatives). Il comprend également des données sur l'<b>état de santé perçu selon l'âge et le sexe</b> (pourcentage de la population qui déclare que son état de santé est « bon/très bon » (ou excellent), pour différentes tranches d'âge). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=3627d99d-fb9f-40e1-98a0-20f19c80ac5f">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true MEASURE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HEALTH_STATUS,SEX,AGE,SOCIO_ECON_STATUS LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,HEALTH_STATUS=G,SEX=_T,AGE=Y_GE15,SOCIO_ECON_STATUS=Q1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Perceived health status by socio-economic status Perception de l'état de santé selon le statut socio-économique This dataset presents data on <b>perceived health status by income quintile</b> (the proportion of persons aged 15 years old and over within the highest and lowest income quintiles who report their health to be ‘good/very good’). <b>Quintile 1 (Lowest 20% of income group)</b> and <b>Quintile 5 (Highest 20% of income group)</b> are taken into account. <p />This dataset also includes data on <b>perceived health status by education level</b> (proportion of persons aged 15 years old and over by level of education who report their health to be “good” or “better”.) The following education levels are taken into account: Low education (ISCED 0 to 2), Medium education (ISCED 3 and 4), and High education (ISCED 5 to 8). <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8a7730a3-44ce-46d0-b736-e8dc255d654d">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données présente des données sur <b>l'état de santé perçu par quintile de revenu</b> (la proportion de personnes âgées de 15 ans et plus dans les quintiles de revenu le plus élevé et le plus bas qui déclarent que leur santé est « bonne/très bonne »). Le <b>Quintile 1 (20 % du groupe de revenu le plus bas)</b> et le <b>Quintile 5 (20 % du groupe de revenu le plus élevé)</b> sont pris en compte. <p />Cet ensemble de données comprend également des données sur <b>l'état de santé perçu par niveau d'éducation</b> (proportion de personnes âgées de 15 ans et plus par niveau d'éducation qui déclarent que leur santé est « bonne » ou « meilleure ».) Les niveaux d'éducation suivants sont pris en compte : faible niveau d'éducation (CITE 0 à 2), niveau d'éducation moyen (CITE 3 et 4) et niveau d'éducation élevé (CITE 5 à 8). <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=8a7730a3-44ce-46d0-b736-e8dc255d654d">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true MEASURE,REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN DEATH_CAUSE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG OBS_STATUS=A,OBS_STATUS2=A,OBS_STATUS3=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,DEATH_CAUSE=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.HD:HCL_SEX_HEALTH(1.0).H HIER_CONTEXT Potential years of life lost Années potentielles de vie perdues <b>Potential Years of Life Lost (PYLL)</b> is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit. The <b>limit of 75 years</b> has been chosen for the calculations in OECD Health Statistics. <p />The selected <b>ICD categories</b> presented in the OECD Health Statistics database are detailed in an Excel file <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">available for download</a>, with codes according to the <b>Tenth revision of the International Classification of Diseases (ICD) along with codes from other ICD revisions used in the WHO Mortality Database.</b> <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2b922b3-19f8-4454-b74f-5184c034c6f8">Sources and Methods</a> for detailed country-specific information. Les <b>Années potentielles de vie perdues (APVP)</b> sont une mesure synthétique de la mortalité prématurée qui fournit un moyen explicite de pondérer les décès survenant à des âges plus jeunes, qui sont, a priori, évitables. Le calcul des APVP consiste à additionner les décès survenus à chaque âge et à multiplier ce résultat par le nombre d'années restantes pour vivre jusqu'à une limite d'âge sélectionnée. La <b>limite de 75 ans</b> a été choisie pour les calculs dans la base de données des statistiques de la santé de l'OCDE. <p />Les <b>catégories CIM</b> sélectionnées présentées dans la base de données des statistiques de la santé de l'OCDE sont détaillées dans un fichier Excel <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=9506bbe9-c549-4951-8410-757676477e2c" target="_blank">disponible en téléchargement</a>, avec les codes selon les <b>Dixième révision de la Classification internationale des maladies (CIM) ainsi que les codes d'autres révisions de la CIM utilisés dans la base de données de mortalité de l'OMS.</b> <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=c2b922b3-19f8-4454-b74f-5184c034c6f8">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW HEALTH_PROF,TIME_PERIOD LAYOUT_COLUMN MEASURE,COMBINED_UNIT_MEASURE,TRAINING_PLACE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG LASTNPERIODS=5,UNIT_MEASURE=PT_WR_PRF_HLTH DEFAULT UNIT_MULT=0 NOT_DISPLAYED COMBINED_MEASURE:MEASURE,UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure COMBINED_MEASURE:Mesure combinée Health workforce migration Migration du personnel de santé Internationally comparable statistics on medical staff (doctors and nurses) and whether they are domestically-trained or foreign-trained. <p />Data on the native-born but foreign-trained persons are available when selecting 1) Origin: all, 2) Unit of measure: Persons, and 3) Measure: Health workforce, native-born stock. <p />Please refer to the <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a79329aa-765c-4c8e-a989-51bff25ad471">Sources and Methods</a> for detailed country-specific information. Statistiques comparables au niveau international sur le personnel médical (médecins et personnel infirmier), et indiquant s'il est formé dans le pays ou à l'étranger. <p />Des données sur les personnes nées dans le pays mais formées à l'étranger sont disponibles avec la selection suivante : 1) Origine : toutes, 2) Unité de mesure : Personnes, et 3) Mesure : Personnel de santé, stock né dans le pays. <p />Veuillez vous référer aux <a target="_blank" href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=a79329aa-765c-4c8e-a989-51bff25ad471">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN MEASURE=PART_I+PART_II+PART_III NOT_DISPLAYED MEASURE=Q1ITEM1+Q1ITEM2+Q1ITEM3+Q1ITEM4+Q2+Q2SUBITEM1+Q3+Q4+Q5+Q6+Q7 DEFAULT Health System Characteristics Survey - 2023 Round Enquête sur les caractéristiques des systèmes de santé - cycle 2023 <div class="col-sm-6"> <h3>The 2023 round of the OECD Health Committee survey on Health System Characteristics</h3> <p> The main characteristics of health systems of OECD countries and accession countries are available in one dataset on a dedicated webpage. The dataset consists of results for the 2023 round of the Health System Characteristics survey as provided by countries, between July - Novemeber 2023. </p> <h3>How to access the data</h3> <p> Depending on the query of interest, the user can “select all” filters or refine the search according to the following criteria: </p> <ul> <li>Country (32 member countries and one accession country)</li> <li>Questions (by domain: health financing, health care delivery, governance)</li> </ul> <p> Please note that when the user creates a table, active filters are shown in bold. After a selection is made in one filter, the other filters automatically display only elements where data are available in bold. The data can be displayed online or downloaded in an excel format file. If there is any inconsistency in the results shown, the user could inform the OECD Secretariat by sending a message at the following address: <a href="mailto:HSCS.health@oecd.org">HSCS.health@oecd.org</a> </p> </div> <div class="col-sm-6"> <h3>Links</h3> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2023-Questionnaire.pdf" target="_blank">Survey PDF - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/characteristics.htm" target="_blank">Health Systems Characteristics</a></p> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE LAYOUT_COLUMN ROUND_HSCS LAYOUT_ROW_SECTION MEASURE=PARTONE+PARTTWO+PARTTHREE NOT_DISPLAYED MEASURE=Q1ITEM1+Q1ITEM2+Q1ITEM3+Q1ITEM4+Q2+Q2SUBITEM1+Q3+Q4+Q5+Q6+Q7+Q9+Q10 DEFAULT Health System Characteristics Survey 2012, 2016 and 2018(LAC) Rounds Enquête sur les caractéristiques des systèmes de santé 2012, 2016 et 2018 <div class="col-sm-6"> <h3>The first Health System Characteristics online database</h3> <p> For the first time, the main characteristics of health systems of OECD countries and key partners and accession countries are available in one dataset on a dedicated webpage. The dataset consists of results for the 2016 round of the Health System Characteristics survey as provided by countries, as well as results for the 2012 round of the survey. A new round of survey for Latin-American countries has been held in 2018. </p> <h3>How to access the data</h3> <p> Depending on the query of interest, the user can “select all” filters or refine the search according to the following criteria: </p> <ul> <li>Country (35 member countries and two key partner countries and 21 Latin-American countries)</li> <li>Version of the survey (2016 and 2012 for the OECD, key partners and accession countries, 2018 for the Latin-American countries)</li> <li>Questions (by domain: health financing, health care delivery, governance)</li> </ul> <p> Please note that when the user creates a table, active filters are shown in bold. After a selection is made in one filter, the other filters automatically display only elements where data are available in bold. The data can be displayed online or downloaded in an excel format file. If there is any inconsistency in the results shown, the user could inform the OECD Secretariat by sending a message at the following address: <a href="mailto:HSCS.health@oecd.org">HSCS.health@oecd.org</a> </p> </div> <div class="col-sm-6"> <h3>Methodology</h3> <p> The 2016 wave of the Health System Characteristics Survey has been designed following three guiding principles: </p><ul> <li>Reduce the data collection burden on countries;</li> <li>Facilitate the data collection process and exchange with countries; and</li> <li>Shorten the delay to publish collected data</li> </ul> The 2018 data collection, following the same principles, has been made in cooperation with the InterAmerican Development Bank. <p></p> <p> Through an online platform Health System Characteristics Community, national correspondents had access to all relevant information concerning the 2016 survey, were able to communicate directly with the Secretariat and other national correspondents as well as download the Data Survey Tool. To reduce the data collection burden on countries, the Data Survey Tool consisted of tables pre-filled with responses from 2012. Countries could either validate the response given in 2012 or update responses if changes have occurred since the previous round of data collection. Responses were submitted to the OECD Secretariat by uploading tables on to the online Community. </p> <h3>Links</h3> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2016-Project-outline.pdf" target="_blank">Project outline - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2012-Questionnaire.pdf" target="_blank">2012 Survey PDF - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2016-Questionnaire.pdf" target="_blank">2016 Survey PDF - OECD</a></p> <p><a href="http://www.oecd.org/els/health-systems/HSC_LAC2018.xlsm" target="_blank">2018 Survey XLSM – Latin-American Countries</a></p> <p><a href="http://www.oecd.org/els/health-systems/OECD-HSC-Survey-2016-Glossary.pdf" target="_blank">Glossary</a></p> <p><a href="http://www.oecd.org/els/health-systems/characteristics.htm" target="_blank">Health Systems Characteristics</a></p> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,UNIT_MEASURE LAYOUT_COLUMN SEX=_T,AGE=_T,ATTAINMENT_LEV=_T,PATIENT_STATUS=CHRONIC DEFAULT Patient-Reported Indicator Surveys (PaRIS) Enquêtes PaRIS sur les indicateurs fondés sur les déclarations des patients <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title></title> <style> body { font-family: Arial, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; line-height: 1.6; color: #333; } h1 { color: #0066cc; border-bottom: 2px solid #0066cc; padding-bottom: 10px; } h2 { color: #0066cc; margin-top: 30px; } ul { margin: 15px 0; } li { margin: 10px 0; } a { color: #0066cc; text-decoration: none; } a:hover { text-decoration: underline; } strong { color: #000; } .intro { background-color: #f5f5f5; padding: 15px; border-left: 4px solid #0066cc; margin: 20px 0; } </style> </head> <body> <h1></h1> <div class="intro"> <p>This dataset contains country aggregate results using the PaRIS International Dataset. Results are age- and sex-standardised, and account for distinct variance at country, primary care practice, and patient levels.</p> </div> <ul> <li>Target population: people <strong>aged 45 and over</strong> who had at least one contact with a primary care practice in the six months preceding the sampling date.</li> <li>PaRIS uses two questionnaires: one for patients – <strong>PaRIS Patient Questionnaire (PaRIS-PQ)</strong> – and one for primary care practices – <strong>PaRIS Primary Care Practice Questionnaire (PaRIS-PCPQ)</strong>.</li> </ul> <ul> <li><a href="https://www.oecd.org/content/dam/oecd/en/about/programmes/patient-reported-indicator-surveys/PaRIS%20patient%20questionnaire.pdf" target="_blank">PaRIS Patient Questionnaire (PaRIS-PQ)</a></li> <li><a href="https://www.oecd.org/content/dam/oecd/en/about/programmes/patient-reported-indicator-surveys/PaRIS%20provider%20questionnaire.pdf" target="_blank">PaRIS Primary Care Practice Questionnaire (PaRIS-PCPQ)</a></li> </ul> <p>PaRIS aims to improve healthcare by assessing and publishing patient-reported measures across OECD and participating countries to facilitate international comparison and cross-country learning.</p> <hr> <p>Read the report here: <a href="https://www.oecd.org/en/publications/does-healthcare-deliver_c8af05a5-en.html" target="_blank">Does Healthcare Deliver?</a></p> <p>For a detailed description of the PaRIS 10 key indicators presented in this dataset, see <a href="https://www.oecd.org/en/publications/does-healthcare-deliver_c8af05a5-en/full-report/paris-key-indicators-how-do-countries-compare_efb26e2a.html#title-053394c062" target="_blank">Table 2.1</a> of the report.</p> <p>For a complete description of the methods and data behind the results, see <a href="https://www.oecd.org/en/publications/does-healthcare-deliver_c8af05a5-en/full-report/paris-data-and-methods_bd499979.html#chapter-d1e6120-ccd4e987d1" target="_blank">Chapter 7: PaRIS Data and Methods</a> of the report.</p> <p>Visit the PaRIS website: <a href="https://www.oecd.org/en/about/programmes/patient-reported-indicator-surveys-paris.html" target="_blank"> Patient-Reported Indicator Surveys | OECD </a> </p> <p>Check out PaRIS public use files: <a href="https://www.oecd.org/en/data/datasets/paris-public-use-files.html" target="_blank"> PaRIS Public Use Files | OECD </a> </p> </body> </html> <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title></title> <style> body { font-family: Arial, sans-serif; max-width: 800px; margin: 0 auto; padding: 20px; line-height: 1.6; color: #333; } h1 { color: #0066cc; border-bottom: 2px solid #0066cc; padding-bottom: 10px; } h2 { color: #0066cc; margin-top: 30px; } ul { margin: 15px 0; } li { margin: 10px 0; } a { color: #0066cc; text-decoration: none; } a:hover { text-decoration: underline; } strong { color: #000; } .intro { background-color: #f5f5f5; padding: 15px; border-left: 4px solid #0066cc; margin: 20px 0; } </style> </head> <body> <h1></h1> <div class="intro"> <p>This dataset contains country aggregate results using the PaRIS International Dataset. Results are age- and sex-standardised, and account for distinct variance at country, primary care practice, and patient levels.</p> </div> <ul> <li>Target population: people <strong>aged 45 and over</strong> who had at least one contact with a primary care practice in the six months preceding the sampling date.</li> <li>PaRIS uses two questionnaires: one for patients – <strong>PaRIS Patient Questionnaire (PaRIS-PQ)</strong> – and one for primary care practices – <strong>PaRIS Primary Care Practice Questionnaire (PaRIS-PCPQ)</strong>.</li> </ul> <ul> <li><a href="https://www.oecd.org/els/health-systems/PaRIS-patient-questionnaire.pdf" target="_blank">PaRIS Patient Questionnaire (PaRIS-PQ)</a></li> <li><a href="https://www.oecd.org/els/health-systems/PaRIS-provider-questionnaire.pdf" target="_blank">PaRIS Primary Care Practice Questionnaire (PaRIS-PCPQ)</a></li> </ul> <p>PaRIS aims to improve healthcare by assessing and publishing patient-reported measures across OECD and participating countries to facilitate international comparison and cross-country learning.</p> <hr> <p>Read the report here: <a href="https://www.oecd.org/en/publications/does-healthcare-deliver_c8af05a5-en.html" target="_blank">Does Healthcare Deliver?</a></p> <p>For a detailed description of the PaRIS 10 key indicators presented in this dataset, see <a href="https://www.oecd.org/en/publications/does-healthcare-deliver_c8af05a5-en/full-report/paris-key-indicators-how-do-countries-compare_efb26e2a.html#title-053394c062" target="_blank">Table 2.1</a> of the report.</p> <p>For a complete description of the methods and data behind the results, see <a href="https://www.oecd.org/en/publications/does-healthcare-deliver_c8af05a5-en/full-report/paris-data-and-methods_bd499979.html#chapter-d1e6120-ccd4e987d1" target="_blank">Chapter 7: PaRIS Data and Methods</a> of the report.</p> <p>Visit the PaRIS website: <a href="https://www.oecd.org/en/about/programmes/patient-reported-indicator-surveys-paris.html" target="_blank"> Patient-Reported Indicator Surveys | OECD </a> </p> </body> </html> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,FINANCING_SCHEME=_T,PROVIDER=_T,FUNCTION=_T,MEASURE=EXP_HEALTH,UNIT_MEASURE=PT_B1GQ DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00040 SEARCH_WEIGHT Health expenditure and financing Dépenses de santé et financement <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2017/03/a-system-of-health-accounts-2011_g1g75c9d/9789264270985-en.pdf">A System of Health Accounts</a> provides an updated and systematic description of the financial flows related to the consumption of healthcare goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. It builds on the original OECD Manual, published in 2000 to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. It is the result of a collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to healthcare systems around the globe – from the simplest to the more complicated. The accounting framework is organised around a tri-axial system for the recording of healthcare expenditure, namely classifications of the functions of healthcare (ICHA-HC), healthcare provision (ICHA-HP), and financing schemes (ICHA-HF). Le <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2017/03/a-system-of-health-accounts-2011_g1g75c9d/9789264270985-en.pdf">Système de Comptes de la Santé</a> fournit une description actualisée et systématique des flux financiers liés à la consommation de biens et de services de santé. À mesure que la demande d’informations augmente et que davantage de pays mettent en œuvre et institutionnalisent les comptes de la santé conformément au système, les données produites devraient être plus comparables, plus détaillées et plus pertinentes pour l’élaboration des politiques. Il s’appuie sur le manuel original de l’OCDE, publié en 2000, afin de créer un cadre mondial unique pour la production de comptes de dépenses de santé, permettant de suivre les flux de ressources de leur origine à leur utilisation. Il est le fruit d’un effort de collaboration entre l’OCDE, l’OMS et la Commission européenne, et définit plus en détail les frontières, les définitions et les concepts – en réponse aux systèmes de santé du monde entier – des plus simples aux plus complexes. Le cadre comptable est organisé autour d’un système tri-axial pour l’enregistrement des dépenses de santé, à savoir les classifications des fonctions de soins de santé (ICHA-HC), de la prestation de soins de santé (ICHA-HP), et des régimes de financement (ICHA-HF). NonProductionDataflow true FUNCTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,FINANCING_SCHEME=_T,PROVIDER=_T,FUNCTION=HCCOV1+HCCOV2+HCCOV3+HCCOV4+HCCOV5,MEASURE=EXP_COVID,UNIT_MEASURE=PT_EXP_HLTH DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00020 SEARCH_WEIGHT COVID-19 expenditure Dépenses liées à la COVID-19 This dataset provides information on COVID-19 related health spending within the <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2017/03/a-system-of-health-accounts-2011_g1g75c9d/9789264270985-en.pdf">System of Health Accounts</a> framework. It identifies spending linked to the health system response to the pandemic, including treatment of COVID-19 patients, testing and contact tracing, vaccination against SARS-CoV-2, COVID-19 related medical goods, and other current health expenditure associated with the pandemic response. The dataset also captures selected policy-relevant items outside current health expenditure, notably provider support related to COVID-19 revenue losses, as well as COVID-19 related investments in health infrastructure, medical equipment, facilities and information systems. By documenting the scale and composition of COVID-19 related health spending, this dataset provides evidence on the impact of an acute pandemic crisis on health systems and on how countries respond, helping to inform future analyses of health system preparedness and resilience. Cet ensemble de données fournit des informations sur les dépenses de santé liées à la COVID-19 dans le cadre du <a target="_blank" href="https://www.oecd.org/content/dam/oecd/en/publications/reports/2017/03/a-system-of-health-accounts-2011_g1g75c9d/9789264270985-en.pdf">Système de Comptes de la Santé</a>. Il recense les dépenses liées à la réponse du système de santé à la pandémie, notamment le traitement des patients atteints de la COVID-19, le dépistage et le traçage des contacts, la vaccination contre le SARS-CoV-2, les biens médicaux liés à la COVID-19, ainsi que les autres dépenses courantes de santé associées à la réponse à la pandémie. Cet ensemble de données couvre également certains postes pertinents pour l’action publique en dehors des dépenses courantes de santé, notamment le soutien aux prestataires lié aux pertes de recettes dues à la COVID-19, ainsi que les investissements liés à la COVID-19 dans les infrastructures de santé, les équipements médicaux, les établissements et les systèmes d’information. En documentant l’ampleur et la composition des dépenses de santé liées à la COVID-19, cet ensemble de données apporte des éléments probants sur l’impact d’une crise pandémique aiguë sur les systèmes de santé et sur la manière dont les pays y répondent, contribuant ainsi aux futures analyses de la préparation et de la résilience des systèmes de santé. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2010,PROVIDER=HP1,FACTOR_PROVISION=FP1,UNIT_MEASURE=PT_EXP_PRV DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00020 SEARCH_WEIGHT Input costs for healthcare providers Coût des intrants de prestations de soins de santé This dataset shows how much health providers spend on the inputs needed to produce healthcare goods and services (factors of provision). This information is typically tracked at national aggregate levels to meet the need to ensure an efficient, appropriate allocation of resources in the production of healthcare services. Specific policy needs may require information regarding total payments for human resources, expenditure on pharmaceuticals, and other significant inputs. Furthermore, the financial planning of health programmes and services often relies on information about the volume and mixture of factor spending. Ce jeu de données montre combien les prestataires de soins dépensent pour les intrants nécessaires à la production de biens et services de santé (facteurs de prestation). Ces informations sont généralement suivies aux niveaux agrégés nationaux pour répondre au besoin d’assurer une allocation efficace et appropriée des ressources dans la production des services de santé. Certains besoins spécifiques de politique publique peuvent exiger des informations sur le montant total des paiements destinés aux ressources humaines, les dépenses pharmaceutiques et d’autres intrants importants. Par ailleurs, la planification financière des programmes et services de santé repose souvent sur des informations concernant le volume et la répartition des dépenses liées aux facteurs de production. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD,FINANCING_SCHEME_REV LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PT_EXP_FS,FINANCING_SCHEME=_T,FINANCING_SCHEME_REV=FS1+FS3,MEASURE=REVENUE DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00030 SEARCH_WEIGHT Revenues of healthcare financing schemes Recettes des régimes de financement des soins A key set of information for policy analysis is i) how much revenue is collected; ii) in what ways is it collected; iii) from which institutional units of the economy are revenues raised for each particular financing scheme; and iv) which financing schemes receive those revenues. This dataset provides information about the contribution mechanisms the particular financing schemes use to raise their revenues. Understanding the nature of the flows is of importance from the perspective of both health and public finance policy. For example, the classification of revenues makes it possible to distinguish between public and private funding of healthcare finance. Understanding how resources are raised by financing schemes is important for many countries, as many health systems are struggling with the issue of funding. The classification of revenues of financing schemes is suitable for tracking the collection mechanisms of a financing framework. Furthermore, the new classification makes it possible to analyse the contribution of the institutional units to health financing. Un ensemble d’informations clés pour l’analyse des politiques concerne : i) le montant des recettes collectées ; ii) les modalités de leur collecte ; iii) les unités institutionnelles de l’économie auprès desquelles les recettes sont prélevées pour chaque régime de financement particulier ; et iv) les régimes de financement qui reçoivent ces recettes. Ce jeu de données fournit des informations sur les mécanismes de contribution utilisés par les différents régimes de financement pour lever leurs recettes. Comprendre la nature de ces flux est important tant du point de vue de la politique de santé que de la politique des finances publiques. Par exemple, la classification des recettes permet de distinguer le financement public du financement privé des soins de santé. Comprendre comment les ressources sont mobilisées par les régimes de financement est crucial pour de nombreux pays, car beaucoup de systèmes de santé sont confrontés à la question du financement. La classification des recettes des régimes de financement est adaptée au suivi des mécanismes de collecte d’un cadre de financement. De plus, la nouvelle classification permet d’analyser la contribution des unités institutionnelles au financement de la santé. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PRICE_BASE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3 LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,UNIT_MEASURE=XDC NOT_DISPLAYED TIME_PERIOD_START=2015,UNIT_MEASURE=PT_B1GQ,PROVIDER=_T,ASSET_TYPE=_T,MEASURE=CAPITAL_FORM DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00010 SEARCH_WEIGHT Gross fixed capital formation in the healthcare system Formation brute de capital fixe dans le système de santé Gross fixed capital formation in the healthcare system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. While human resources are essential to the health and long-term care sector, physical resources are also a key factor in the production of health services. How much a country invests in new health facilities, diagnostic and therapeutic equipment, and information and communications technology (ICT) can have an important impact on the capacity of a health system to meet the healthcare needs of the population. Having sufficient equipment in intensive care units and other health settings helps to avoid potentially catastrophic delays in diagnosing and treating patients. Non-medical equipment is also important, notably the IT infrastructure needed to better monitor population health, both in acute situations and in the long term. Investing in capital equipment is therefore a prerequisite to strengthening overall health system resilience. La formation brute de capital fixe dans le système de santé est mesurée par la valeur totale des actifs fixes acquis par les prestataires de soins de santé au cours de la période comptable (moins la valeur des cessions d’actifs) et utilisés de façon répétée ou continue pendant plus d’un an dans la production de services de santé. Si les ressources humaines sont essentielles pour le secteur de la santé et des soins de longue durée, les ressources matérielles constituent également un facteur clé dans la production des services de santé. Le niveau d’investissement d’un pays dans de nouveaux établissements de santé, dans des équipements de diagnostic et de traitement, ainsi que dans les technologies de l’information et de la communication (TIC), peut avoir un impact important sur la capacité d’un système de santé à répondre aux besoins de la population. Disposer d’un équipement suffisant dans les unités de soins intensifs et autres structures de santé permet d’éviter des retards potentiellement catastrophiques dans le diagnostic et le traitement des patients. Les équipements non médicaux sont également importants, en particulier les infrastructures informatiques nécessaires pour mieux suivre la santé de la population, tant dans les situations aiguës que sur le long terme. Investir dans les équipements de capital est donc une condition préalable au renforcement de la résilience globale du système de santé. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MARKET_TYPE=_T,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Generic market Marché des génériques A generic is a pharmaceutical product which has the same qualitative and quantitative composition in active substances and the same pharmaceutical form as the reference medicinal product, and whose bioequivalence with the reference medicinal product has been demonstrated by appropriate bioavailability studies. Generics can be classified in branded generics (generics with a specific trade name) and unbranded generics (which use the international non-proprietary name and the name of the company). <p />Data are reported for the Third-party-payer market (sub-market in which a third-party payer reimburses medicines); the Community pharmacy market (healthcare facility dispensing medicines, i.e. prescription-only medicines, i.e. POM, and OTC, reimbursable and non-reimbursable medicines, to out-patients); and the Hospital pharmaceutical market (see SHA definition for H.P.1.). <p />Data are collected as a share expressed in value and in volume. Values can for instance be the turnover of pharmaceutical companies, the amount paid for pharmaceuticals by third-party payers, or the amount paid by all payers (third-party and consumers). Market value are most often at ex-factory prices, while amounts paid by third-party payers (and consumers) are in general at retails prices. Volumes can be expressed in DDDs or as a number of packages/boxes or standard units. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/3_Generic-drug-market.pdf">Sources and Methods</a> for detailed country-specific information. Un générique est un produit pharmaceutique qui présente la même composition qualitative et quantitative en substances actives et la même forme pharmaceutique que le médicament de référence, et dont la bioéquivalence avec le médicament de référence a été démontrée par des études de biodisponibilité appropriées. Les génériques peuvent être classés en génériques de marque (génériques avec un nom commercial spécifique) et en génériques sans marque (qui utilisent la dénomination commune internationale et le nom de la société). <p />Les données sont reportées pour le marché du tiers payant (sous-marché dans lequel un tiers payant rembourse les médicaments) ; le marché des pharmacies de ville (établissements de santé délivrant des médicaments, c'est-à-dire des médicaments délivrés uniquement sur ordonnance, à savoir des médicaments POM, et des médicaments OTC, remboursables et non-remboursables, à des patients ambulatoires) ; et le marché pharmaceutique hospitalier (voir la définition SHA pour H.P.1.). <p />Les données sont collectées sous forme de part exprimée en valeur et en volume. Les valeurs peuvent par exemple être le chiffre d'affaires des sociétés pharmaceutiques, le montant payé pour les produits pharmaceutiques par les tiers payants ou le montant payé par tous les payeurs (tiers et consommateurs). La valeur marchande est le plus souvent aux prix départ usine, tandis que les montants payés par les tiers payants (et les consommateurs) sont généralement aux prix de détail. Les volumes peuvent être exprimés en DQD ou en nombre de colis/boîtes ou d'unités standards. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/3_Generic-drug-market.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2010,PHARMACEUTICAL=N06A,UNIT_MEASURE=DDD_10P3HB DEFAULT Pharmaceutical market Marché pharmaceutique This dataset reports data on pharmaceutical consumption and sales, according to the Anatomical Therapeutic Chemical (ATC) classification, and on the share of generics in the pharmaceutical market. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/Pharmaceutical-Market.pdf">Sources and Methods</a> for detailed country-specific information. Cet ensemble de données rapporte des données sur la consommation et les ventes de produits pharmaceutiques, selon la classification Anatomique, Thérapeutique et Chimique (ATC), et sur la part des génériques dans le marché pharmaceutique. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/Pharmaceutical-Market.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE,UNIT_MULT LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED PHARMACEUTICAL=J01,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure Pharmaceutical consumption Consommation de médicaments Total pharmaceutical consumption according to the Anatomical Therapeutic Chemical (ATC) classification/Defined Daily Dose (DDD) system, created by the WHO Collaborating Centre for Drug Statistics Methodology. The unit of measurement is Defined Daily Dose (DDD), defined as the assumed average maintenance dose per day for a drug used on its main indication in adults. <p />The Anatomical Therapeutic Chemical classification system divides drugs into different groups according to the organ system on which they act and/or therapeutical, pharmacological and chemical characteristics. The main principles for the classification of medicinal substances according to the ATC is presented in the publication “Guidelines for ATC classification and DDD assignment”, WHO Collaborating Centre for Drug Statistics Methodology, Oslo. The publication “ATC Index with DDDs” lists all assigned ATC codes and DDD values. Both these publications are updated annually. <p />The ATC codes are based on the 2026 version of the ATC Index. All alterations implemented from January 2026 are available on the WHO Collaborating Centre for Drug Statistics Methodology website at https://www.whocc.no/lists_of__temporary_atc_ddds_and_alterations/. <p />Data should reflect, where possible, the total consumption for each pharmaceutical drug category, i.e. including consumption in hospitals. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/1_Total-pharmaceutical-consumption-by-DDDs.pdf">Sources and Methods</a> for detailed country-specific information. Consommation pharmaceutique totale selon le système de classification Anatomique, Thérapeutique et Chimique (ATC)/Dose Quotidienne Définie (DQD), créé par le Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques. L'unité de mesure est la Dose Quotidienne Définie (DQD), définie comme la dose d'entretien moyenne supposée par jour pour un médicament utilisé dans son indication principale chez l'adulte. <p />Le système de classification Anatomique, Thérapeutique et Chimique divise les médicaments en différents groupes selon le système organique sur lequel ils agissent et/ou leurs caractéristiques thérapeutiques, pharmacologiques et chimiques. Les grands principes de la classification des substances médicamenteuses selon l'ATC sont présentés dans la publication « Guidelines for ATC classification and DDD assignment », Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques, Oslo. La publication « ATC Index with DDD » répertorie tous les codes ATC et valeurs DQD attribués. Ces deux publications sont mises à jour chaque année. <p />Les codes ATC sont basés sur la version 2026 de l'index ATC. Toutes les modifications mises en œuvre à partir de janvier 2026 sont disponibles sur le site web du Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques à l'adresse https://www.whocc.no/lists_of__temporary_atc_ddds_and_alterations/. <p />Les données doivent refléter, dans la mesure du possible, la consommation totale pour chaque catégorie de médicaments pharmaceutiques, c'est-à-dire y compris la consommation dans les hôpitaux. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/1_Total-pharmaceutical-consumption-by-DDDs.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA,UNIT_MULT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS2,OBS_STATUS3,PHARMACEUTICAL_CODE LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED PHARMACEUTICAL=_T,UNIT_MEASURE=USD_PPP_PS,TIME_PERIOD_START=2010 DEFAULT Pharmaceutical sales Ventes de médicaments Total sales of pharmaceutical products on the domestic market, in total and by selected Anatomical Therapeutic Chemical (ATC) classification groups, based on retail prices (i.e. the final price paid by the customer). <p />The ATC codes are based on the 2026 version of the ATC Index. All alterations implemented from January 2026 are available on the WHO Collaborating Centre for Drug Statistics Methodology website at http://www.whocc.no/atc/lists_of_new_atc_ddds_and_altera/alterations_in_atc_ddd/. <p />Note: There are at least three possible sources of under-reporting of drug sales in different countries: 1) sales data may only cover those drugs that are reimbursed by public insurance schemes; 2) they may be based on ex-factory or wholesale prices rather than retail prices; and 3) sales data may exclude drug consumption in hospitals. Data should reflect total sales for each drug category, based on retail prices, and including sales in hospitals where possible. Also, sales data should include all drugs regardless of whether they are reimbursed or not. <p />Please refer to the <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/2_Total-pharmaceutical-sales.pdf">Sources and Methods</a> for detailed country-specific information. Ventes totales de produits pharmaceutiques sur le marché intérieur, pour le total et par certains groupes selon la classification Anatomique, Thérapeutique et Chimique (ATC), sur la base des prix de détail (c'est-à-dire le prix final payé par le client). <p />Les codes ATC sont basés sur la version 2026 de l'indice ATC. Toutes les modifications mises en œuvre à partir de janvier 2026 sont disponibles sur le site web du Centre collaborateur de l'OMS pour la méthodologie sur les statistiques pharmaceutiques à l'adresse http://www.whocc.no/atc/lists_of_new_atc_ddds_and_altera/alterations_in_atc_ddd/. <p />Remarque : Il existe au moins trois sources possibles de sous-déclaration des ventes de médicaments dans différents pays : 1) les données sur les ventes peuvent couvrir uniquement les médicaments remboursés par les régimes d'assurance publics ; 2) ils peuvent être basés sur les prix départ usine ou prix de gros plutôt que sur les prix de détail ; et 3) les données sur les ventes peuvent exclure la consommation de médicaments dans les hôpitaux. Les données doivent refléter les ventes totales pour chaque catégorie de médicaments, sur la base des prix de détail, et inclure les ventes dans les hôpitaux lorsque cela est possible. En outre, les données sur les ventes doivent inclure tous les médicaments, qu’ils soient remboursés ou non. <p />Veuillez vous référer aux <a target="_blank" href="https://webfs-els.oecd.org/files/Health-Statistics/HEALTH_PHMC_Pharmaceutical-Market/2_Total-pharmaceutical-sales.pdf">Sources et Méthodes</a> pour des informations détaillées spécifiques à chaque pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=B11,CITIZENSHIP=W,TIME_PERIOD_START=2012,SEX=_T DEFAULT International migration database Base de données sur les migrations internationales This dataset includes annual series on flows of foreign population and of asylum seekers by nationality, stocks of foreign population by nationality, as well as acquisitions of nationality by former nationality. Most of these data have been provided by national correspondents of the OECD Expert Group on Migration. They are based on national concepts and definitions and therefore are not fully comparable across countries. Cet ensemble de données comprend des séries annuelles sur les flux entrants de population étrangère et de demandeurs d'asile par nationalité, les effectifs de la population étrangère ainsi que les acquisitions de nationalité par nationalité antérieure. La plupart de ces données ont été fournies par les correspondants nationaux du Groupe d'experts de l'OCDE sur les migrations. Elles reposent sur des concepts et définitions nationaux et ne sont donc pas entièrement comparables entre les pays. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,EDUCATION_LEV,BIRTH_PLACE LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=2 DEFAULT EDUCATION_LEV:OECD.ELS.IMD:HCL_EDU_LEVEL(1.0).H HIER_CONTEXT Labour market outcomes of immigrants - Employment rates by educational attainment Résultats des immigrés sur le marché du travail - Taux d'emploi par niveau d’éducation This database presents immigrant employment rates by education level. Cette base de données présente de taux d'emploi des immigrés par niveau d’éducation. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,SEX,BIRTH_PLACE LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=2,MEASURE=EMP_WAP DEFAULT Labour market outcomes of immigrants - Employment, unemployment, and participation rates by sex Résultats des immigrés sur le marché du travail - Taux d'emploi, de chômage et de participation par sexe This database presents the labour market outcomes of immigrants in terms of employment, unemployment, and participation rates, disaggregated by gender. Cette base de données présente les résultats des immigrés sur le marché du travail en termes de taux d'emploi, de chômage et de participation, désagrégés par sexe. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED BIRTH_COUNTRY=AUS,TIME_PERIOD_START=2012,SEX=_T DEFAULT International migration database - stocks of foreign-born population Base de données sur les migrations internationales - stock de population étrangère This dataset includes annual series on stocks of the total immigrant population (foreign-born population by country of birth). Most of these data have been provided by national correspondents of the OECD Expert Group on Migration. They are based on national concepts and definitions and therefore are not fully comparable across countries. Cet ensemble de données comprend des séries annuelles sur les effectifs de la population immigrée totale (population née à l'étranger par pays de naissance). La plupart de ces données ont été fournies par les correspondants nationaux du Groupe d'experts de l'OCDE sur les migrations. Elles reposent sur des concepts et définitions nationaux et ne sont donc pas entièrement comparables entre les pays. NonProductionDataflow true MIGRATION_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=10 DEFAULT Harmonised flows - internal database Flux harmonisés - base de données interne NonProductionDataflow true MIGRATION_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=10 DEFAULT Standardised inflows of permanent-type migrants Flux standardisés de migrants de type permanent This database provides annual estimates of permanent migration inflows to OECD countries by category of migration. The estimates are mainly based on the number of newly granted permits/visas issued to foreign citizens, provided by NSOs or Ministerial statistical services.New permanent migrants are classified into 5 categories of migration depending on the grounds for approval of their permit/visa (labour, accompanying family of workers, family reunification, humanitarian reasons and other national cases).In addition, the database provides annual estimates of the number of individuals who migrated long-term under a free-mobility agreement based on alternative sources. Cette base de données fournit des estimations annuelles des flux migratoires permanents vers les pays de l'OCDE, par catégorie de migration. Ces estimations reposent principalement sur le nombre de nouveaux permis/visas délivrés à des ressortissants étrangers, fourni par les INS ou les services statistiques ministériels. Les nouveaux migrants permanents sont classés en cinq catégories de migration selon le motif de leur permis/visa (travail, accompagnement de la famille de travailleurs, regroupement familial, raisons humanitaires et autres cas nationaux). De plus, la base de données fournit des estimations annuelles du nombre de personnes ayant migré de longue durée dans le cadre d'un accord de libre circulation, basées sur d'autres sources. NonProductionDataflow true MIGRATION_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED LASTNPERIODS=10 DEFAULT Standardised inflows of temporary migrants Flux standardisés de migrants temporaires <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>This database provides estimates of annual temporary migration flows to OECD countries. The estimates are mainly based on the number of newly granted permits/visas issued to foreign citizens, provided by NSOs or Ministerial statistical services.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Temporary migration flows are classified into 6 groups: international students newly registered in a tertiary education programme; migrants participating in a work-travel exchange programs; intra-corporate transferees; trainees; seasonal foreign workers; and other foreign workers participating in national temporary migration programmes.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Note that selected temporary movements are excluded from our estimates of temporary migration inflows.</strong> These are: tourists; crews; persons in transit; business visitors; diplomats; journalists; job-search visa holders; religious workers; sportspersons; artists; performers; posted workers.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Short-term movements under free-movement agreements are not included in this dataset. Asylum seekers are not included in this data set. See the following <a href="https://stat.link/og27ea">tables</a>.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Ukrainians under the Temporary Protection Directive are not included in this data set.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Further information:</strong> <a href="https://www.oecd.org/en/publications/international-migration-outlook-2023_b0f40584-en.html">International Migration Outlook</a></p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Cette base de données fournit des estimations des flux migratoires temporaires annuels vers les pays de l'OCDE. Français Les estimations sont principalement basées sur le nombre de permis/visas nouvellement accordés à des citoyens étrangers, fournis par les INS ou les services statistiques ministériels.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Les flux migratoires temporaires sont classés en 6 groupes : les étudiants internationaux nouvellement inscrits dans un programme d'enseignement supérieur ; les migrants participant à un programme d'échange travail-voyage ; les personnes transférées au sein d'une entreprise ; les stagiaires ; les travailleurs étrangers saisonniers ; et d'autres travailleurs étrangers participant à des programmes nationaux de migration temporaire.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Notez que certains mouvements temporaires sont exclus de nos estimations des flux migratoires temporaires.</strong> Il s'agit des suivants : touristes ; équipages ; personnes en transit ; visiteurs d'affaires ; diplomates ; journalistes ; titulaires d'un visa de recherche d'emploi ; travailleurs religieux ; sportifs ; artistes ; interprètes ; Les travailleurs détachés.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Les mouvements de courte durée dans le cadre d'accords de libre circulation ne sont pas inclus dans cet ensemble de données. Les demandeurs d'asile ne sont pas inclus dans cet ensemble de données. Voir les <a href="https://stat.link/og27ea">tableaux</a> suivants.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>&nbsp;</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'>Les Ukrainiens relevant de la Directive sur la protection temporaire ne sont pas inclus dans cet ensemble de données.</p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><strong>Informations complémentaires :</strong> <a href="https://www.oecd.org/en/publications/international-migration-outlook-2023_b0f40584-en.html">Perspectives des migrations internationales</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,VERSION LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,CONF_STATUS=F,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2000,MEASURE=EPL_OV,VERSION=VERSION4 DEFAULT Strictness of employment protection Rigueur de la protection emploi The OECD indicators of employment protection are synthetic indicators of the strictness of regulation on dismissals and the use of temporary contracts. For each year, indicators refer to regulation in force on the 1st of January. <br><br>For more information and full methodology, see<br><a href="https://www.oecd.org/employment/emp/oecdindicatorsofemploymentprotection.htm">OECD Indicators of Employment Protection webpage</a><br><b>Last data update: May 2022</b><br><br>OECD statistics contact: <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> Les indicateurs de l'OCDE de la protection de l'emploi sont des indicateurs synthétiques de la rigueur de la réglementation sur les licenciements et l'utilisation des contrats temporaires. Pour chaque année, les indicateurs portent sur la réglementation en vigueur le 1er janvier. <br><br>Pour plus d'informations et la méthodologie complète, voir<br><a href="https://www.oecd.org/employment/emp/oecdindicatorsofemploymentprotection.htm">Page web OECD Indicators of Employment Protection</a><br><b>Dernière mise à jour : Mai 2022</b><br><br>OECD statistics contact: <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> NonProductionDataflow true PROGRAMME LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MULT LAYOUT_ROW_SECTION CONF_STATUS=F,FREQ=A,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,MEASURE=EXP,UNIT_MEASURE=PT_B1GQ DEFAULT Labour Market Programmes Programmes du marché du travail Labour market policy (LMP) database provides information on active labour market policies and social security systems explicitly targeted to people with difficulties in the labour market: the unemployed, people at risk of involuntary job loss and inactive people who would like to enter the labour market. <br><br>For more information, see <a href="https://web-archive.oecd.org/2022-09-16/120573-Coverage-and-classification-of-OECD-data.pdf">Coverage and classification of the OECD data on labour market programmes</a><br><b>Last data update: October 2023</b><br><br>OECD statistics contact: <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> La base de données sur les politiques du marché du travail (PMT) fournit des informations sur les politiques actives du marché du travail et les systèmes de sécurité sociale explicitement destinés aux personnes ayant des difficultés sur le marché du travail : les chômeurs, les personnes risquant de perdre involontairement leur emploi et les personnes inactives qui souhaiteraient entrer sur le marché du travail. <br><br>Pour plus d'information, voir (en anglais) <a href="https://web-archive.oecd.org/2022-09-16/120573-Coverage-and-classification-of-OECD-data.pdf">Coverage and classification of the OECD data on labour market programmes</a><br><b>Dernière mise à jour : Octobre 2023</b><br><br>Contact pour les statistiques de l'OCDE : <a href="mailto:ELS.Contact@oecd.org">ELS.Contact@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED LASTNOBSERVATIONS=5 DEFAULT Historical gross replacement rates of unemployment benefits Taux de remplacement bruts historiques des allocations de chômage Gross replacement rates (GRR) measure gross unemployment benefit levels as a percentage of the previous gross earnings. <p /> The index available here is defined as the average of the gross unemployment benefit replacement rates for two earnings levels (67 and 100% of the Average Production Worker wages), three family situations (single person, one-earner couple and two-earner couple), and three durations of unemployment (1 year, 2 to 3 years, and 4 to 5 years). <p /> For further details, see OECD (1994), The OECD Jobs Study (chapter 8) and Martin J. (1996), “Measures of Replacement Rates for the Purpose of International Comparisons: A Note”, OECD Economic Studies, No. 26. Pre-2003 data have been revised. <p /> Please note: Net Replacement Rates (NRR) provide a more complete measure of benefit generosity and income maintenance, especially when compared over longer periods of unemployment. <p /> Updating and maintainenance of the gross replacement rate (GRR) index, originally constructed as part of the OECD Jobs Study (1994), was reliant on access to Average Production Worker (APW) wages. These data have not been collected by the OECD since 2005 and the Historical GRR series has been dismissed. Instead, the OECD provides annually since 2001 the NRR indicator based on a slightly different definition of the reference wage, the Average Wage (AW), for most OECD and EU countries. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Les taux de remplacement bruts (GRR) mesurent les niveaux de prestations de chômage brutes en pourcentage des revenus bruts antérieurs. <L'indice disponible ici est défini comme la moyenne des taux de remplacement des prestations de chômage brutes pour deux niveaux de rémunération (67 et 100 % du salaire moyen des ouvriers de production), trois situations familiales (personne seule, couple à un seul revenu et couple à deux revenus) et trois durées de chômage (1 an, 2 à 3 ans et 4 à 5 ans). <p /> Pour plus de détails, voir OCDE (1994), L'étude de l'OCDE sur l'emploi (chapitre 8) et Martin J. (1996), « Measures of Replacement Rates for the Purpose of International Comparisons : Note », Études économiques de l'OCDE, n° 26. Les données antérieures à 2003 ont été révisées. <p /> Veuillez noter que les taux de remplacement nets (NRR) fournissent une mesure plus complète de la générosité des prestations et du maintien du revenu, en particulier lorsqu'ils sont comparés sur des périodes de chômage plus longues. <p /> La mise à jour et le maintien de l'indice du taux de remplacement brut (GRR), construit à l'origine dans le cadre de l'étude de l'OCDE sur l'emploi (1994), dépendaient de l'accès aux salaires moyens des travailleurs de la production (APW). Ces données n'ont pas été collectées par l'OCDE depuis 2005 et la série historique du GRR a été abandonnée. Au lieu de cela, l'OCDE fournit chaque année depuis 2001 l'indicateur NRR basé sur une définition légèrement différente du salaire de référence, le salaire moyen (AW), pour la plupart des pays de l'OCDE et de l'UE. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_PART LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+AW100,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Hours of work needed to escape poverty Heures de travail nécessaires pour sortir de la pauvreté This indicator measures the working hours needed to escape poverty for a jobless family claiming minimum income benefits. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure le nombre d'heures de travail nécessaires pour échapper à la pauvreté pour une famille sans emploi demandant des allocations de revenu minimum. <Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,HOUSE_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,UNIT_MEASURE=PT_INC_DISP_HH_MEDIAN,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT INCOME_PART NOT_INDEXED Adequacy of minimum income benefits Adéquation des prestations de revenu minimum This indicator measures the income of selected jobless families receiving Minimum Income benefits. Values are expressed both in national currency and as a percentage of the median disposable income in the country. When the country's poverty line is defined as a fixed percentage of the median disposable income, the normalization of benefit amounts in terms of the median disposable income allows measuring the gap between benefit entitlements and the poverty line. For instance, if the poverty threshold is 50% of the median disposable income, a value of the indicator of 30% means that benefit entitlements are 20 percentage points below the poverty line. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure le revenu de certaines familles sans emploi qui perçoivent des allocations de revenu minimum. Les valeurs sont exprimées à la fois en monnaie nationale et en pourcentage du revenu disponible médian du pays. Lorsque le seuil de pauvreté du pays est défini comme un pourcentage fixe du revenu disponible médian, la normalisation des montants des prestations en termes de revenu disponible médian permet de mesurer l'écart entre les droits aux prestations et le seuil de pauvreté. Par exemple, si le seuil de pauvreté est de 50 % du revenu disponible médian, une valeur de l'indicateur de 30 % signifie que les droits aux prestations sont inférieurs de 20 points de pourcentage au seuil de pauvreté. <p /> Les calculs pour les familles avec enfants supposent deux enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW MEASURE LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_PART,HOUSE_BENEFIT,SOC_ASS_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=GFE+NFI,UNIT_MEASURE=XDC+PT_INC_DISP_HH_TP_REF_WG_A,HOUSEHOLD_TYPE=S_C0+C_C2,SOC_ASS_BENEFIT=YES+NO,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=1,STAT_REF_POP=FT_ISICCK,METHOD_MIN_WAGE=MW_DATE,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Annual net and gross earnings of minimum wage earners Salaires annuels nets et bruts des salariés au salaire minimum Gross and net earninigs of full-time minimum wage workers and their families. Calculations based on the OECD Tax-Benefit model (TaxBEN). Income values are available either in national currency (gross/net annual incomes), or divided by the corresponding net/gross income of an otherwise identical familiy where the reference person works full time at the average or medium wage. These ratios can be interpreted as net/gross Kaitz indices for selected family types. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Revenus bruts et nets des travailleurs à temps plein au salaire minimum et de leurs familles. Calculs basés sur le modèle d'imposition et de prestations de l'OCDE (TaxBEN). Les valeurs des revenus sont disponibles soit en monnaie nationale (revenus annuels bruts/nets), soit divisées par le revenu net/brut correspondant d'une famille identique où la personne de référence travaille à temps plein au salaire moyen. Ces ratios peuvent être interprétés comme des indices de Kaitz net/brut pour certains types de familles. <Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,WORKING_HOURS_INCREASE,INCOME_PART,HOUSE_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+MINW,WORKING_HOURS_INCREASE=PTFTW50T100+PTFTW67T100,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,SOC_ASS_BENEFIT=YES,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on additional working hours Taux d'imposition effectif sur les heures de travail supplémentaires This indicator measures the fraction of additional earnings that is lost to either higher taxes or lower benefits when an employee increases their working hours. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure la fraction des revenus supplémentaires qui est perdue en raison d'une augmentation des impôts ou d'une diminution des prestations lorsqu'un salarié augmente ses heures de travail. <p /> Les calculs pour les familles avec enfants supposent deux enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW CHILDCARE_COST LAYOUT_COLUMN HOUSE_BENEFIT,INCOME_CURR LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=NCF,UNIT_MEASURE=XDC+PT_WG_A_SAL,HOUSEHOLD_TYPE=C_C2,INCOME_PART=_Z+AW67,INCOME_CURR=AW100+AW67,SOC_ASS_BENEFIT=YES,HOUSE_BENEFIT=YES+NO,LASTNPERIODS=1,CHILDCARE_COST=_T+CF+CB+TAX+_O DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Net childcare cost for parents using centre-based childcare Coût net de la garde d'enfants pour les parents utilisant une structure d'accueil The Net Childcare Cost (NCC) indicator measures the net reduction in family income resulting from the use of full-time centre-based care. It is calculated by comparing net income of a family that uses childcare and an otherwise identical family where no childcare services are used (for example, if the family can use unpaid informal care). <p />The calculations assume 2 children aged 2 and 3, both attending a childcare centre full-time. L'indicateur du coût net de la garde d'enfants (Net Childcare Cost - NCC) mesure la réduction nette du revenu familial résultant de l'utilisation de services de garde d'enfants à temps plein. Il est calculé en comparant le revenu net d'une famille qui utilise des services de garde d'enfants et celui d'une famille identique qui n'utilise pas de services de garde d'enfants (par exemple, si la famille peut utiliser des services informels non rémunérés). <Les calculs reposent sur l'hypothèse de deux enfants âgés de 2 et 3 ans, qui fréquentent tous deux une garderie à temps plein. NonProductionDataflow true REF_AREA LAYOUT_ROW UNEMP_DURATION LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_PREV,HOUSE_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNEMP_DURATION=M2+M4+M6+M12+M24+M36,HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,INCOME_PREV=AW67+AW100,LASTNPERIODS=1,HOUSE_BENEFIT=YES+NO,SOC_ASS_BENEFIT=YES DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Net replacement rates in unemployment Taux de remplacement net en cas de chômage Net Replacement Rates in unemployment measure the net proportion of income that is maintained after 1, 2, …, T months of unemployment. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Les taux de remplacement nets en cas de chômage mesurent la proportion du revenu net qui est maintenue après 1, 2, ..., T mois de chômage. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'ont pas recours à des services de garde formelle. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT,CONTRIBUTION LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=C_C2+S_C2,INCOME_CURR=AW67+MINW,INCOME_PART=AW67+MINW+_Z,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=5,CONTRIBUTION=_T,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT;COMBINED_MEASURE:MEASURE,CONTRIBUTION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure;COMBINED_MEASURE:Measure COMBINED_UNIT_MEASURE:Unité de mesure;COMBINED_MEASURE:Mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on taking up work when claiming minimum income and using childcare services Taux d'imposition effectif sur la reprise d'un emploi en cas de perception d'un revenu minimum et d'utilisation de services de garde d'enfants This indicator measures the financial disincentives to participate in the labour market. It calculates the proportion of earnings in the new job that would be lost to either higher taxes, lower benefits and net childcare costs when a parent with young children takes up full-time employment and uses full-time centre-based childcare. This indicators is calculated assuming that the family claims social assitance and/or Guaranteed Minimum Income (GMI) benefits but not unemployment benefits. <p />The calculations assume 2 children aged 2 and 3, both attending a childcare centre full-time. Cet indicateur mesure les désincitations financières à participer au marché du travail. Il calcule la proportion des revenus du nouvel emploi qui serait perdue en raison d'une augmentation des impôts, d'une diminution des prestations et des coûts nets de garde d'enfants lorsqu'un parent ayant de jeunes enfants prend un emploi à temps plein et utilise des services de garde d'enfants à temps plein. Ces indicateurs sont calculés en supposant que la famille bénéficie de l'aide sociale et/ou du revenu minimum garanti, mais pas des allocations de chômage. <p /> Les calculs se fondent sur l'hypothèse de deux enfants âgés de 2 et 3 ans, qui fréquentent tous deux un centre d'accueil à temps plein. NonProductionDataflow true REF_AREA LAYOUT_ROW UNEMP_DURATION LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT,CONTRIBUTION LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=C_C2+S_C2,INCOME_CURR=AW67+MINW,INCOME_PART=AW67+MINW+_Z,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,UNEMP_DURATION=M2+M6+M12+M24+M36,CONTRIBUTION=_T,SOC_ASS_BENEFIT=YES,LASTNPERIODS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT;COMBINED_MEASURE:MEASURE,CONTRIBUTION COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure;COMBINED_MEASURE:Measure COMBINED_UNIT_MEASURE:Unité de mesure;COMBINED_MEASURE:Mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on taking up work when claiming unemployment benefits and using childcare services Taux d'imposition effectifs sur l'acceptation d'un emploi en cas de perception d'allocations de chômage et d'utilisation de services de garde d'enfants This indicator measures the financial disincentives to participate in the labour market for a jobseeker claiming unemployment benefits. It calculates the proportion of earnings that are lost to either higher taxes, lower benefits and net childcare costs when a parent with young children takes up full-time employment and uses full-time centre-based childcare. This indicators is calculated assuming that the jobseeker claims unemployment insurance and/or unemployment assistance benefits when s/he is out of work. <p />The calculations assume 2 children aged 2 and 3, both attending a childcare centre full-time. Cet indicateur mesure les désincitations financières à participer au marché du travail pour un demandeur d'emploi bénéficiant d'allocations de chômage. Il calcule la proportion des revenus perdus en raison de l'augmentation des impôts, de la diminution des prestations et des coûts nets de garde d'enfants lorsqu'un parent de jeunes enfants prend un emploi à temps plein et utilise des services de garde d'enfants à temps plein dans des centres. Ces indicateurs sont calculés en supposant que le demandeur d'emploi fait appel à l'assurance chômage et/ou aux prestations d'assistance chômage lorsqu'il est sans emploi. <Les calculs se fondent sur l'hypothèse de deux enfants âgés de 2 et 3 ans, qui fréquentent tous deux un centre d'accueil à temps plein. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+AW100,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=5 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rates on taking up work when claiming minimum income benefits Taux d'imposition effectif sur la reprise d'un emploi pour les bénéficiaires de minima sociaux This indicator measures the financial disincentives to participate in the labour market. It shows the proportion of earnings in the new job that are lost to either higher tax liabilities and/or lower benefit entitlements when a jobless person takes up employment and their family claims social assistance and/or Guaranteed Minimum Income (GMI) benefits. Higher values means higher financial disincentives. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure les désincitations financières à participer au marché du travail. Il montre la proportion des revenus du nouvel emploi qui sont perdus en raison d'une augmentation des impôts et/ou d'une diminution des prestations lorsqu'une personne sans emploi prend un emploi et que sa famille demande une aide sociale et/ou des prestations de revenu minimum garanti. Des valeurs plus élevées signifient des désincitations financières plus importantes. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'ont pas recours à des services de garde formelle. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN HOUSEHOLD_TYPE,INCOME_CURR,INCOME_PART,HOUSE_BENEFIT,TEMP_INTOWORK_BENEFIT LAYOUT_ROW_SECTION FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED HOUSEHOLD_TYPE=S_C0+C_C2,INCOME_CURR=AW67+AW100,INCOME_PART=_Z+NOEARN_UNEMP_WO_CONBEN,UNEMP_DURATION=M2+M6+M12+M24+M36,SOC_ASS_BENEFIT=YES,HOUSE_BENEFIT=YES+NO,TEMP_INTOWORK_BENEFIT=YES+NO,LASTNPERIODS=1 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Unit of measure COMBINED_UNIT_MEASURE:Unité de mesure HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Effective tax rate on taking up work when claiming unemployment benefits Taux d'imposition effectif sur la reprise d'un emploi pour les bénéficiaires d'allocations de chômage This indicator measures the financial disincentives to participate in the labour market. It calculates the proportion of earnings in the new job that are lost to either higher taxes or lower benefit entitlements when a jobless person takes up employment and claims unemployment benefits. Higher values means higher financial disincentives. <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure les désincitations financières à participer au marché du travail. Il calcule la proportion des revenus du nouvel emploi qui sont perdus en raison d'une augmentation des impôts ou d'une diminution des droits aux prestations lorsqu'une personne sans emploi reprend un emploi et demande des allocations de chômage. Des valeurs plus élevées signifient des désincitations financières plus importantes. <p />Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'ont pas recours à des services de garde formelle. NonProductionDataflow true REF_AREA, MEASURE LAYOUT_ROW BENEFIT_TIER LAYOUT_COLUMN FREQ=A,UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=OVER+AVAIL+JSR+SAN,BENEFIT_TIER=FT+FLT+SLT,LASTNPERIODS=1 DEFAULT HOUSEHOLD_TYPE:OECD.ELS.JAI:HCL_HOUSEHOLD_TYPE(1.0).H HIER_CONTEXT Strictness of activation requirements for benefit recipients Rigueur des conditions d'activation pour les bénéficiaires de prestations This indicator measures the strictness of activity-related eligibility criteria for recipients of unemployment and related benefits. It considers (1) the strictness of job-search and monitoring procedures, (2) the strictness of work-availability requirements and suitable job criteria, and (3) the strictness of sanctions for those not complaying with the requirements. The data include information for first and lower tier benefits. The list of programmes and their classification into first and lower tier benefits is available in the project webpage (https://oe.cd/taxben). <p />Calculations for families with children assume 2 children aged 4 and 6 who do not use formal childcare. Cet indicateur mesure la rigueur des critères d'éligibilité liés à l'activité pour les bénéficiaires de prestations de chômage et d'autres prestations connexes. Il prend en compte (1) la rigueur des procédures de recherche d'emploi et de suivi, (2) la rigueur des exigences en matière de disponibilité du travail et des critères d'emploi adéquats, et (3) la rigueur des sanctions pour ceux qui ne se conforment pas aux exigences. Les données comprennent des informations sur les prestations de premier niveau et de niveau inférieur. La liste des programmes et leur classification en prestations de premier et de second niveau est disponible sur la page web du projet (https://oe.cd/taxben). <Les calculs pour les familles avec enfants supposent 2 enfants âgés de 4 et 6 ans qui n'utilisent pas de services de garde formels. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T DEFAULT 10000 MAX_TABLE_DATA Average duration of unemployment Durée moyenne du chômage This table contains data on the average duration of unemployment (reported in number of months) by sex and standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Ce tableau contient des données sur la durée moyenne du chômage (exprimée en nombre de mois) par sexe et groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,DURATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T DEFAULT 10000 MAX_TABLE_DATA Unemployment by duration Chômage selon la durée This table contains data on the level of the five durations - less than 1 month, >1 month and < 3 months, >3 months and <6 months, >6 months and <1 year, 1 year and over - of unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Ce tableau contient des données sur le niveau des cinq durées - moins d'un mois, >1 mois et < 3 mois, >3 mois et <6 mois, >6 mois et <1 an, 1 an et plus - du chômage par sexe et par groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,DURATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T DEFAULT 10000 MAX_TABLE_DATA Incidence of unemployment by duration Incidence du chômage selon la durée This table contains data on the share of the five durations - less than 1 month,>1 month and < 3 months,>3 months and <6 months,>6 months and <1 year, 1 year and over - of unemployment among total unemployment by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Ce tableau contient des données sur la part des cinq durées - moins d'un mois, > 1 mois et < 3 mois, > 3 mois et < 6 mois, > 6 mois et < 1 an, 1 an et plus - du chômage parmi le chômage total par sexe et par groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,AGGREGATION_OPERATION LAYOUT_ROW_SECTION UNIT_MEASURE,PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,AGGREGATION_OPERATION=MEAN,MEASURE=S_PA_WP,TIME_PERIOD_START=2015 DEFAULT Wage gap by age Écart salarial selon l'âge This dataset contains age wage gaps defined as the difference between mean (median) earnings of 25-54 year-olds and that of 15-24 year-olds (respectively 55-64 year-olds) relative to mean (median) earnings of 25-54 year-olds. Earnings refer to gross earnings of full-time dependent employees unless otherwise indicated. Cet ensemble de données contient les écarts salariaux selon l'âge définis comme la différence entre les revenus moyens (médians) des 25-54 ans et ceux des 15-24 ans (respectivement 55-64 ans) par rapport aux revenus moyens (médians) des 25 ans. -54 ans. Les gains font référence aux gains bruts des employés à charge à temps plein, sauf indication contraire. NonProductionDataflow true REF_AREA,PRICE_BASE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,PAY_PERIOD,AGGREGATION_OPERATION,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Average annual wages Salaire annuel moyen This dataset contains data on average annual wages per employee in full-time equivalent unit in the total economy. Average annual wages per full-time equivalent dependent employee are obtained by dividing the national-accounts-based total wage bill by the average number of employees in the total economy, which is then converted in full-time equivalent unit by applying the ratio of average usual weekly hours per full-time employee to that of all employees. For more details, see: <a href="http://www.oecd.org/els/oecd-employment-outlook-19991266.htm">http://www.oecd.org/els/oecd-employment-outlook-19991266.htm</a> and <a href="http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm">http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm</a> The data are available in Current prices in NCU, in 2025 constant prices and NCU, in 2025 USD PPPs for private consumption expenditure and 2025 constant prices. NCU: National currency units. For further details on these estimates, please see <a href="http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf">http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf</a> Cet ensemble de données contient des données sur les salaires annuels moyens par employé en unité équivalente temps plein dans l'économie totale. Les salaires annuels moyens par employé dépendant équivalent temps plein sont obtenus en divisant la masse salariale totale basée sur les comptes nationaux par le nombre moyen d'employés dans l'économie totale, qui est ensuite convertie en unité équivalent temps plein en appliquant le ratio du salaire moyen. heures hebdomadaires habituelles par salarié à temps plein à celle de l’ensemble des salariés. Pour plus de détails, voir : <a href="http://www.oecd.org/els/oecd-employment-outlook-19991266.htm">http://www.oecd.org/els/oecd-employment- Outlook-19991266.htm</a> et <a href="http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase.htm">http://www.oecd.org/employment/emp/onlineoecdemploymentdatabase. htm</a> Les données sont disponibles en prix courants en NCU, en prix constants de 2025 et NCU, en PPA USD des dépenses de consommation privés de 2025 et en prix constants de 2025. NCU : unités monétaires nationales. Pour plus de détails sur ces estimations, veuillez consulter <a href="http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf">http://www.oecd.org/els/emp/AVERAGE_WAGES.pdf </a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT Full earnings dataset Ensemble de données complet sur les revenus This dataset contains all earnings data Cet ensemble de données contient toutes les données sur les revenus NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE,AGGREGATION_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,TIME_PERIOD_START=2015 DEFAULT Decile ratios of gross earnings Ratios déciles des gains bruts This dataset contains three earnings-dispersion measures - ratio of 9th-to-1st, 9th-to-5th and 5th-to-1st - where 9th, 5th (median) and 1st deciles are upper-earnings decile limits, unless otherwise indicated, of gross earnings of full-time dependent employees. Cet ensemble de données contient trois mesures de dispersion des revenus - ratio du 9e au 1er, du 9e au 5e et du 5e au 1er - où le 9e, le 5e (médiane) et le 1er déciles sont les limites des déciles de revenus supérieurs, sauf indication contraire, des gains bruts des salariés dépendants à temps plein. NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE,AGGREGATION_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,TIME_PERIOD_START=2015 DEFAULT Gender wage gap Écart salarial entre hommes et femmes This dataset contains gender wage gaps defined as: 1) the unadjusted difference between median wages of men and women relative to the median wages of men, 2) the unadjusted difference between mean wages of men and women relative to the mean wages of men, 3) at the 1st decile and 4) at the 9th decile. Cet ensemble de données contient les écarts salariaux entre les sexes définis comme : 1) la différence non ajustée entre les salaires médians des hommes et des femmes par rapport aux salaires médians des hommes, 2) la différence non ajustée entre les salaires moyens des hommes et des femmes par rapport aux salaires moyens des hommes, 3) au 1er décile et 4) au 9e décile. NonProductionDataflow true REF_AREA,AGGREGATION_OPERATION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,UNIT_MEASURE,PAY_PERIOD,PRICE_BASE,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT Minimum relative to average wages of full-time workers Salaire minimum par rapport au salaire moyen des travailleurs à temps plein For cross-country comparisons, data on minimum wage levels are further supplemented with another measure of minimum wages relative to average wages, that is, the ratio of minimum wages to median earnings of full-time employees. Median rather than mean earnings provide a better basis for international comparisons as it accounts for differences in earnings dispersion across countries. However, while median of basic earnings of full-time workers - i.e. excluding overtime and bonus payments - are ideally, the preferred measure of average wages for international comparisons of minimum-to-median earnings, they are not available for a large number of countries. Minimum relative to mean earnings of full-time workers are also provided. "Pour les comparaisons entre pays, les données sur les niveaux de salaire minimum sont complétées par une autre mesure du salaire minimum par rapport au salaire moyen, à savoir le rapport entre le salaire minimum et les gains médians des salariés à temps plein. Les gains médians plutôt que moyens fournissent une Cependant, la médiane des revenus de base des travailleurs à temps plein - c'est-à-dire hors heures supplémentaires et primes - constitue, idéalement, la mesure privilégiée des salaires moyens pour les comparaisons internationales. Si l’on considère les revenus minimum ou médians, ils ne sont pas disponibles dans un grand nombre de pays. Des minimums relatifs aux gains moyens des travailleurs à temps plein sont également fournis. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PAY_PERIOD LAYOUT_ROW_SECTION MEASURE,PRICE_BASE,AGGREGATION_OPERATION,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED PAY_PERIOD=A,TIME_PERIOD_START=2010 DEFAULT Minimum wages at current prices in national currency units (NCU) Salaire minimum aux prix courants en unités monétaires nationales (NCU) This dataset contains statutory and national minimum wages in 30 OECD Member countries, Brazil, Bulgaria, Croatia, Malta, Peru, Romania and the Russian Federation. For detailed country notes: see <a href="http://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/Minimum-wages.pdf">Minimum wages metadata</a>. Cet ensemble de données contient les salaires minimums légaux et nationaux dans 30 pays membres de l'OCDE, le Brésil, la Bulgarie, la Croatie, Malte, le Pérou, la Roumanie et la Fédération de Russie. Pour des notes détaillées par pays : voir <a href="http://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/Minimum-wages.pdf">Minimum wages metadonnées</a>. NonProductionDataflow true REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX LAYOUT_ROW_SECTION PAY_PERIOD,PRICE_BASE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,TIME_PERIOD_START=2015 DEFAULT Incidence of low and high pay Incidence des salaires bas et élevés This dataset contains series on the incidence of low-paid workers defined as the share of full-time workers earning less than two-thirds of gross median earnings of all full-time workers; the incidence of high-paid workers defined as the share of full-time workers earning more than one-and-half time gross median earnings of all full-time workers. Cet ensemble de données contient des séries sur l'incidence des travailleurs à faible salaire, définis comme la part des travailleurs à temps plein gagnant moins des deux tiers des gains médians bruts de tous les travailleurs à temps plein ; l'incidence des travailleurs bien rémunérés est définie comme la part des travailleurs à temps plein gagnant plus d'une fois et demie le salaire médian brut de l'ensemble des travailleurs à temps plein. NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN PAY_PERIOD LAYOUT_ROW_SECTION MEASURE,PRICE_BASE,AGGREGATION_OPERATION,SEX,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED PAY_PERIOD=A,TIME_PERIOD_START=2001 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Real minimum wages at constant prices Salaire minimum réel à prix constants Real minimum wages are statutory minimum wages converted into a common hourly and annual pay period for the 30 OECD countries and two other non-member countries for which they are available. Real hourly and annual minimum wages are calculated first by deflating the series using the consumer price index taking 2025 as the base year then converted into common currency units 1) US dollars (USD) and 2) USD using Purchasing Power Parities (PPPs) for private consumption expenditures in 2025. es salaires minimum réels sont des salaires minimum légaux convertis en une période de paie horaire et annuelle commune pour les 30 pays de l'OCDE et deux autres pays non membres pour lesquels ils sont disponibles. Les salaires minimum horaires et annuels réels sont d'abord calculés en déflatant la série en utilisant l'indice des prix à la consommation en prenant 2025 comme année de base, puis convertis en unités monétaires communes 1) dollars américains (USD) et 2) USD en utilisant les parités de pouvoir d'achat (PPA) pour le secteur privé. dépenses de consommation en 2025. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Full-time and part-time employment Emploi à temps plein et à temps partiel This dataset contains data on full-time and part-time employment according to: <ul> <li>a common definition of 30-usual weekly hours of work in the main job</li> <li>national definitions</li> </ul> Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total) <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur l'emploi à temps plein et à temps partiel selon : <ul> <li>une définition commune des 30 heures de travail hebdomadaires habituelles pour l'emploi principal</li> <li>définitions nationales</li> </ul> Les données sont ventilées par statut professionnel - salariés, emploi total - sexe et tranches d'âge standardisées (15-24, 25-54, 55+, total) <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=Y25T54,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Full-time and part-time employment based on OECD-harmonized definition Emploi à temps plein et à temps partiel selon la définition harmonisée de l'OCDE This dataset based on so-called OECD harmonized definition contains data on full-time and part-time employment according to a common definition of 30-usual weekly hours of work in the main job. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total) <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données basé sur la définition harmonisée de l'OCDE contient des données sur l'emploi à temps plein et à temps partiel selon une définition commune de 30 heures de travail hebdomadaires habituelles pour l'emploi principal. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe et tranches d'âge standardisées (15-24, 25-54, 55+, total). <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=Y15T64,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Incidence of full-time and part-time employment based on OECD-harmonized definition Fréquence de l’emploi à temps plein et à temps partiel selon la définition harmonisée de l’OCDE This dataset contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on a common 30-usual-hour cut-off in the main job. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. L'emploi à temps partiel est basé sur une coupure habituelle de 30 heures pour l'emploi principal. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=M+F,UNIT_MEASURE=PT_POP_SUB,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP_PT,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Gender share of part-time employment Part des sexes dans l'emploi à temps partiel This dataset contains gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données présente la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Full-time and part-time employment based on national definition Emploi à temps plein et à temps partiel selon la définition nationale This dataset contains data on full-time and part-time employment based on national definition. Data are broken down by professional status - employees, total employment - sex and standardised age groups (15-24, 25-54, 55+, total). <p /> National definitions of part-time work vary considerably across OECD countries. Essentially three main approaches can be distinguished: i) a classification based on the worker’s perception of his/her employment situation; ii) a cut-off (generally 30 or 35 hours per week) based on usual working hours, with persons usually working fewer hours being considered part-timers; iii) a comparable cut-off based on actual hours worked during the reference week. A criterion based on actual hours will generally yield a part-time rate higher than one based on usual hours, particularly if there are temporary reductions in working time as a result of holidays, illness, short-timing, etc. On the other hand, it is not entirely clear whether a classification based on the worker’s perception will necessarily yield estimates of part-time work that are higher or lower than one based on a fixed cut-off. In one country (France) which changed from 1981 to 1982 from a definition based on an actual hours cut-off (30 hours) to one based on the respondent’s perception, the latter criterion appeared to produce slightly higher estimates. <p /> Other factors as well affect the international comparability of the estimates. In some countries, the hours’ cut-off is based on hours for the main job, in others on total hours for all jobs. Certain countries do not consider unpaid family workers to be employed unless they work more than a minimum number of hours, so that such workers do not enter into counts for part-time workers. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur l'emploi à temps plein et à temps partiel selon la définition nationale. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe et groupes d'âge standardisés (15-24, 25-54, 55+, total). <p /> Les définitions nationales du travail à temps partiel varient considérablement selon les pays de l'OCDE. Essentiellement, trois approches principales peuvent être distinguées : i) une classification basée sur la perception qu’a le travailleur de sa situation d’emploi ; ii) un seuil (généralement de 30 ou 35 heures par semaine) basé sur les heures de travail habituelles, les personnes travaillant habituellement moins d'heures étant considérées comme des travailleurs à temps partiel ; iii) un seuil comparable basé sur les heures réellement travaillées au cours de la semaine de référence. Un critère basé sur la durée réelle donnera généralement un taux de temps partiel supérieur à celui basé sur la durée habituelle, notamment s'il y a des réductions temporaires du temps de travail dues à des vacances, une maladie, un chômage partiel, etc. il n'est pas tout à fait clair si une classification basée sur la perception du travailleur donnera nécessairement des estimations du travail à temps partiel supérieures ou inférieures à une classification basée sur un seuil fixe. Dans un pays (la France) qui est passé entre 1981 et 1982 d’une définition basée sur une limite d’heures réelle (30 heures) à une définition basée sur la perception de l’enquêté, ce dernier critère semble produire des estimations légèrement plus élevées. <p /> D'autres facteurs affectent également la comparabilité internationale des estimations. Dans certains pays, la limite d’heures est basée sur les heures consacrées à l’emploi principal, dans d’autres sur le nombre total d’heures pour tous les emplois. Certains pays ne considèrent pas les travailleurs familiaux non rémunérés comme employés à moins qu'ils ne travaillent plus qu'un nombre minimum d'heures, de sorte que ces travailleurs ne sont pas comptabilisés dans les travailleurs à temps partiel. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,WORK_TIME_ARNGMNT LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE,WORKER_STATUS,UNIT_MEASURE LAYOUT_ROW_SECTION LABOUR_FORCE_STATUS,JOB_COVERAGE,OBS_STATUS=A,UNIT_MULT=0,WORK_TIME_ARNGMNT=_T NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,UNIT_MEASURE=PS,WORKER_STATUS=_T,AGE=_T,WORK_TIME_ARNGMNT=FT+PT,LABOUR_FORCE_STATUS=EMP,MEASURE=EMP,JOB_COVERAGE=MAIN DEFAULT 10000 MAX_TABLE_DATA Incidence of full-time and part-time employment based on national definitions Fréquence de l'emploi à temps plein et à temps partiel selon les définitions nationales This dataset contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on national definitions. <p /> The definition of part-time work varies considerably across OECD countries Essentially three main approaches can be distinguished: i) a classification based on the worker's perception of his/her employment situation; ii) a cut-off (generally 30 or 35 hours per week) based on usual working hours, with persons usually working fewer hours being considered part-timers; iii) a comparable cut-off based on actual hours worked during the reference week. A criterion based on actual hours will generally yield a part-time rate higher than one based on usual hours, particularly if there are temporary reductions in working time as a result of holidays, illness, short-timing, etc. On the other hand, it is not entirely clear whether a classification based on the worker's perception will necessarily yield estimates of part-time work that are higher or lower than one based on a fixed cut-off. In one country (France) which changed from 1981 to 1982 from a definition based on an actual hours cut-off (30 hours) to one based on the respondent's perception, the latter criterion appeared to produce slightly higher estimates. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> For detailed information on labour force surveys for all countries please see <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. L'emploi à temps partiel est basé sur des définitions nationales. <p /> La définition du travail à temps partiel varie considérablement selon les pays de l'OCDE. On peut essentiellement distinguer trois approches principales : i) une classification basée sur la perception qu'a le travailleur de sa situation d'emploi ; ii) un seuil (généralement de 30 ou 35 heures par semaine) basé sur les heures de travail habituelles, les personnes travaillant habituellement moins d'heures étant considérées comme des travailleurs à temps partiel ; iii) un seuil comparable basé sur les heures réellement travaillées au cours de la semaine de référence. Un critère basé sur la durée réelle donnera généralement un taux de temps partiel supérieur à celui basé sur la durée habituelle, notamment s'il y a des réductions temporaires du temps de travail dues à des vacances, une maladie, un chômage partiel, etc. il n'est pas tout à fait clair si une classification basée sur la perception du travailleur donnera nécessairement des estimations du travail à temps partiel supérieures ou inférieures à une classification basée sur un seuil fixe. Dans un pays (la France) qui est passé entre 1981 et 1982 d'une définition basée sur une limite d'heures réelle (30 heures) à une définition basée sur la perception de l'enquêté, ce dernier critère semble produire des estimations légèrement plus élevées. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE,SEX,AGE,HOUR_BANDS NOT_DISPLAYED TIME_PERIOD_START=2010,WORKER_STATUS=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Average annual hours actually worked per worker Nombre moyen d’heures annuelles ouvrées par personne ayant un emploi The concept used is the total number of hours worked over the year divided by the average number of people in employment. The data are intended for comparisons of trends over time; they are unsuitable for comparisons of the level of average annual hours of work for a given year, because of differences in their sources. Part-time workers are covered as well as full-time workers. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Le concept utilisé est celui du nombre d'heures totales travaillées pendant l'année divisé par le nombre moyen de personnes ayant un emploi. Ces données visent à effectuer des comparaisons de tendances dans le temps ; en revanche, à cause de la disparité des sources, elles ne permettent pas des comparaisons de niveaux pour une année donnée. Les chiffres portent sur le travail à temps partiel et à temps complet. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE,HOUR_BANDS NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=ICSE93_1,WORK_TIME_ARNGMNT=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Average usual weekly hours worked on the main job Nombre moyen d’heures hebdomadaires habituelles travaillées dans le cadre de l'emploi principal This dataset contains data on average usual weekly hours worked in the main job broken down by total employment, full-time employment and part-time employment. Actual hours of work, instead of usual hours of work, are only available in some countries (Mexico and Korea). Data are further broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55-64, 65+ and total) . <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at: <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur les heures hebdomadaires moyennes travaillées dans l'emploi principal, réparties par emploi total, emploi à temps plein et emploi à temps partiel. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Mexique et Corée). Les données sont ensuite ventilées par statut professionnel - employés, emploi total - par sexe et groupes d'âge standardisés (15-24, 25-54, 55-64, 65+ et total) . <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=Y15T64,WORKER_STATUS=_T,HOUR_BANDS=H_GE50,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Incidence of employment by long usual weekly hours worked Incidence de l'emploi selon les longues heures hebdomadaires habituelles travaillées This dataset contains the share of employment by long hour bands (50 and over, 60 and over) for usual weekly hours worked in the main job. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and age groups. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient la part de l'emploi par tranches d'heures longues (50 ans et plus, 60 ans et plus) pour les heures hebdomadaires habituelles travaillées dans l'emploi principal. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Japon et Corée). Les données sont ventilées par statut professionnel - salariés, emploi total - par sexe et tranches d'âge. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=_T,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Incidence of employment by usual weekly hours worked Incidence de l'emploi selon les heures hebdomadaires habituelles travaillées This dataset contains data on the cross-country distribution of employment by hour bands for declared hour bands, broken down by professional status - employees, total employment - sex and detailed age groups. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur la répartition de l'emploi par tranches horaires déclarées dans plusieurs pays, ventilées par statut professionnel - salariés, emploi total - sexe et groupes d'âge détaillés. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=Y15T64,WORKER_STATUS=ICSE93_1,HOUR_BANDS=H_GE60,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Long usual weekly working hours Horaires de travail hebdomadaires habituels longs This dataset contains data on employment by long hour bands (50 and over, 60 and over) for usual weekly hours worked in the main job. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and age groups. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur l'emploi par tranches d'heures longues (50 ans et plus, 60 ans et plus) pour les heures hebdomadaires habituelles travaillées dans l'emploi principal. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Japon et Corée). Les données sont ventilées par statut professionnel - salariés, emploi total - par sexe et tranches d'âge. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true HOUR_BANDS LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,WORKER_STATUS LAYOUT_ROW_SECTION MEASURE,OBS_STATUS=A,UNIT_MULT=0,LABOUR_FORCE_STATUS,AGGREGATION_OPERATION,PAY_PERIOD,HOURS_TYPE,JOB_COVERAGE NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=Y15T64,WORKER_STATUS=ICSE93_1,HOUR_BANDS=H_GE60,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Usual hours worked by weekly hour bands Heures habituelles travaillées par tranches horaires hebdomadaires This dataset contains data on employment by hour bands for usual weekly hours worked in the main job. Standard hour bands are reported for most countries. Actual hours of work instead of usual hours of work are only available in some countries (Japan and Korea). Data are broken down by professional status - employees, total employment - by sex and standardised age groups (15-24, 25-54, 55+, total). <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur l'emploi par tranches horaires pour les heures hebdomadaires habituelles travaillées dans l'emploi principal. Les tranches horaires standard sont indiquées pour la plupart des pays. Les heures de travail réelles au lieu des heures de travail habituelles ne sont disponibles que dans certains pays (Japon et Corée). Les données sont ventilées par statut professionnel - salariés, emploi total - par sexe et groupes d'âge standardisés (15-24, 25-54, 55+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=_T DEFAULT Involuntary part time employment Emploi à temps partiel involontaire This dataset contains incidences and gender composition of part-time employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). Part-time employment is based on national definitions. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des groupes d'âge standardisés (15-24, 25-54, 55-64, 65+, total). Le travail à temps partiel et à temps partiel involontaire sont basées sur les définitions nationales. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,SEX=_T,AGE=_T,WORKER_STATUS=_T DEFAULT Incidence of involuntary part time employment Fréquence de l emploi à temps partiel involontaire This dataset contains incidences and gender composition of part-time employment with standardised (15-24, 25-54, 55-64, 65+, total) and detailed age groups. Data are further broken down by professional status - employees, total employment. Part-time employment is based on national definitions. <p /> Detailed notes and sources can be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient l'incidence et la répartition par sexe de l'emploi à temps partiel avec des tranches d'âge standardisées (15-24, 25-54, 55-64, 65+, total) et détaillées. Les données sont ensuite ventilées par statut professionnel – salariés, emploi total. Le travail à temps partiel et à temps partiel involontaire sont basées sur les définitions nationales. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,LABOUR_FORCE_STATUS=EMP,AGE=Y15T64,REF_AREA=AUS+AUT+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+OECD DEFAULT Employment and unemployment by five-year age group and sex - levels Emploi et chômage par groupe d'âge quinquennal et par sexe - niveaux This dataset contains labour force data on labour market status - population, labour force, unemployment and employment - by sex and by detailed age groups and standard age groups (15-24, 25-54, 55-64, 65+, total). <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient des données sur la population active concernant la situation du marché du travail - population, population active, chômage et emploi - par sexe et par groupes d'âge détaillés et groupes d'âge standard (15-24, 25-54, 55-64, 65+, total). <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUS,SEX=_T DEFAULT Employment and unemployment by five-year age group and sex - composition Emploi et chômage par groupe d'âge quinquennal et par sexe - composition This dataset contains the composition by age groups of labour force data on labour market status - population, labour force, unemployment and employment - by sex. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient la composition par groupes d'âge des données sur la population active concernant le statut du marché du travail - population, population active, chômage et emploi - par sexe. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,AGE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN LABOUR_FORCE_STATUS,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,REF_AREA=AUS,SEX=_T, AGE=Y15T64 DEFAULT Employment and unemployment by five-year age group and sex - indicators Emploi et chômage par groupe d'âge quinquennal et par sexe - indicateurs This dataset contains employment population ratios, unemployment rates and labour force participation rates by sex and by 5-year age groups and aggregated age groups. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. Cet ensemble de données contient les ratios de population en emploi, les taux de chômage et les taux de participation au marché du travail par sexe et par groupes d'âge de 5 ans et groupes d'âge agrégés. <p /> Des notes détaillées et des sources peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. NonProductionDataflow true REF_AREA,TIME_HORIZ LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED SEX=_T,AGE=_T,TIME_PERIOD_START=2010,TIME_PERIOD_END=2030 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Population data Données démographiques NonProductionDataflow true MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SEX LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,SEX=_T,TIME_PERIOD_START=2014,TIME_PERIOD_END=2024,UNIT_MEASURE=PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Historical population data Données démographiques historiques This dataset presents annual population data from 1961 by sex and five year age groups as well as the share of children, youth, the elderly, old-age and total dependency ratios. The data is available for all member countries as well as for the EU27 and G20 countries, Argentina, Brazil, China, India, Indonesia, Russia, Saudi Arabia, Singapore, South Africa and the World total. <p /> The data refer to mid-year estimates of the population. <p /> See country details in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPHIST.xlsx">Historical population metadata</a>. Cet ensemble de données présente des données démographiques annuelles de 1961 par sexe et tranches d'âge de cinq ans, ainsi que la part des enfants, des jeunes, des personnes âgées, des personnes âgées et les taux de dépendance totale. Les données sont disponibles pour tous les pays membres ainsi que pour les pays de l'UE27 et du G20, l'Afrique du sud, l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie, la Russie, le Arabie saoudite, Singapour et le total mondial. <p /> Les données se réfèrent à des estimations de population en milieu d'année. <p /> Voir le détail par pays : <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPHIST.xlsx">Historical population metadata</a>. NonProductionDataflow true MEASURE,AGE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,SEX LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,SEX=_T,TIME_PERIOD_START=2024,TIME_PERIOD_END=2040,UNIT_MEASURE=PS DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Population projections Projections démographiques This dataset presents annual population projections data up to 2070 by sex and five year age groups as well as the share of children, youth, the elderly, old-age and total dependency ratios. The data is available for all member countries as well as for the EU27 and G20 countries, Argentina, Brazil, China, India, Indonesia, Russia, Saudi Arabia, Singapore, South Africa and the World total. <p /> The data refer to mid-year estimates of the population. <p /> Population projections are, in most countries, according to medium variant. See country details for the variants retained for each demographic component of total fertility, life expectancy at birth and net annual migration) in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPPROJ.xlsx">Population projection metadata</a>. Cet ensemble de données présente des projections démographiques annuelles jusqu'en 2070 par sexe et tranches d'âge de cinq ans, ainsi que la part des enfants, des jeunes, des personnes âgées, des personnes âgées et les taux de dépendance totale. Les données sont disponibles pour tous les pays membres ainsi que pour les pays de l'UE27 et du G20, l'Afrique du sud, l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie, la Russie, le Arabie saoudite, Singapour et le total mondial. <p /> Les projections démographiques sont, dans la plupart des pays, selon une variante moyenne. Voir le détail par pays pour les variantes retenues pour chaque composante démographique de la fécondité totale, de l'espérance de vie à la naissance et du solde migratoire annuel : <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/MD_POPPROJ.xlsx">Population projection metadata</a>. <p /> Les données se réfèrent à des estimations de population en milieu d'année. NonProductionDataflow true REF_AREA,WORKER_STATUS,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,SEX=_T,AGE=_T,WORKER_STATUS=ICSE93_1+ICSE93_1_U+_U DEFAULT 10000 MAX_TABLE_DATA Employment by permanency of the job Emploi par permanence de l'emploi This dataset contains data on permanent and temporary workers based on the type of work contract of their main job. Data are further broken down by professional status - employees, total employment - by sex and by standardised age groups (15-19, 15-24, 20-24, 25-54, 55-64, 65+, total). <p /> Data are reported for employees. <p /> Temporary employees are wage and salary workers whose job has a pre-determined termination date as opposed to permanent employees whose job is of unlimited duration. They include: i) persons with a seasonal job; ii) persons engaged by an employment agency or business and hired out to a third party for carrying out a “work mission”; iii) persons with specific training contracts (including apprentices, trainees, research assistants, probationary period of a contract, etc.). Country-specific exceptions to this generic definition may be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a> Cet ensemble de données contient des données sur les travailleurs permanents et temporaires en fonction du type de contrat de travail de leur emploi principal. Les données sont ensuite ventilées par statut professionnel - employés, emploi total - par sexe et par groupes d'âge standardisés (15-19, 15-24, 20-24, 25-54, 55-64, 65+, total). <p /> Les données sont rapportées pour les employés. <p /> Les salariés temporaires sont des salariés dont l’emploi a une date de fin prédéterminée, contrairement aux salariés permanents dont l’emploi est à durée indéterminée. Ils comprennent : i) les personnes ayant un emploi saisonnier ; ii) les personnes engagées par une agence de placement ou une entreprise et confiées à un tiers pour effectuer une « mission de travail » ; iii) les personnes ayant des contrats de formation spécifiques (y compris les apprentis, les stagiaires, les assistants de recherche, la période probatoire d’un contrat, etc.). Les exceptions spécifiques à chaque pays à cette définition générique peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a> NonProductionDataflow true REF_AREA,WORKER_STATUS,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,AGE=_T,WORKER_STATUS=ICSE93_1+ICSE93_1_TEMP DEFAULT 10000 MAX_TABLE_DATA Employment by permanency of the job - Incidence Emploi par permanence de l'emploi - Incidence This dataset contains incidences and gender composition of temporary employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). Data are further broken down by professional status - employees, total employment. <p /> Data are reported for employees. <p /> Temporary employees are wage and salary workers whose job has a pre-determined termination date as opposed to permanent employees whose job is of unlimited duration. They include: i) persons with a seasonal job; ii) persons engaged by an employment agency or business and hired out to a third party for carrying out a “work mission”; iii) persons with specific training contracts (including apprentices, trainees, research assistants, probationary period of a contract, etc.). Country-specific exceptions to this generic definition may be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a> Cet ensemble de données contient les incidences et la composition par sexe de l'emploi temporaire avec des groupes d'âge standardisés (15-24, 25-54, 55-64, 65+, total). Les données sont ensuite ventilées par statut professionnel - employés, emploi total. <p /> Les données sont rapportées pour les employés. <p /> Les employés temporaires sont des travailleurs salariés dont l'emploi a une date de fin prédéterminée par opposition aux employés permanents dont l'emploi est à durée indéterminée. Ils comprennent : i) les personnes ayant un emploi saisonnier ; ii) les personnes engagées par une agence d'emploi ou une entreprise et louées à un tiers pour effectuer une « mission de travail » ; iii) les personnes ayant des contrats de formation spécifiques (y compris les apprentis, les stagiaires, les assistants de recherche, la période d'essai d'un contrat, etc.). Des exceptions spécifiques à chaque pays à cette définition générique peuvent être trouvées dans <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a> NonProductionDataflow true REF_AREA,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2015,AGE=_T,SEX=F,WORKER_STATUS=ICSE93_1_TEMP DEFAULT 10000 MAX_TABLE_DATA Share of women in temporary employment by permanency of the job Part des femmes dans l'emploi temporaire selon la permanence de l'emploi This dataset contains the share of women in temporary employment with standardised age groups (15-24, 25-54, 55-64, 65+, total). <p /> Data are reported for employees. <p /> Temporary employees are wage and salary workers whose job has a pre-determined termination date as opposed to permanent employees whose job is of unlimited duration. They include: i) persons with a seasonal job; ii) persons engaged by an employment agency or business and hired out to a third party for carrying out a “work mission”; iii) persons with specific training contracts (including apprentices, trainees, research assistants, probationary period of a contract, etc.). Country-specific exceptions to this generic definition may be found in <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a> Cet ensemble de données contient la part des femmes occupant un emploi temporaire avec des groupes d'âge standardisés (15-24, 25-54, 55-64, 65+, total). <p /> Les données sont rapportées pour les salariés. <p /> Les salariés temporaires sont des salariés dont l'emploi a une date de fin prédéterminée, par opposition aux salariés permanents dont l'emploi est à durée indéterminée. Ils comprennent : i) les personnes ayant un emploi saisonnier ; ii) les personnes engagées par une agence de placement ou une entreprise et confiées à un tiers pour effectuer une « mission de travail » ; iii) les personnes ayant des contrats de formation spécifiques (y compris les apprentis, les stagiaires, les assistants de recherche, la période d'essai d'un contrat, etc.). Des exceptions spécifiques à chaque pays à cette définition générique peuvent être trouvées dans<a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a> NonProductionDataflow true REF_AREA,TENURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2016,SEX=_T,AGE=_T, JOB_TENURE=M_LT12 DEFAULT Employment by job tenure intervals - average job tenure Emploi par intervalles d'ancienneté - ancienneté moyenne dans l'emploi This dataset contains data on the average job tenure of workers by job tenure intervals (in years). Data are broken down by professional status - employees, total employment – sex, five-year and broad age groups (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> Job tenure is measured by the length of time workers have been in their current or main job or with their current employer and are expressed in numbers of years. They can be converted in months by multiplying by a factor of 12 (months). <p /> This information is valuable for estimating the degree of fluidity in the labour market and in identifying the areas of economic activity where the turnover of labour is rapid or otherwise. Data are so far reported for a number of European countries and will be expanded to cover a greater number of countries. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur l'ancienneté moyenne des travailleurs par intervalles d'ancienneté (en années). Les données sont ventilées par statut professionnel - salariés, emploi total - sexe, quinquennat et grands groupes d'âge (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> L'ancienneté est mesurée par la durée pendant laquelle les travailleurs occupent leur emploi actuel ou principal ou travaillent pour leur employeur actuel et est exprimée en nombre d'années. Elle peut être convertie en mois en multipliant par un facteur de 12 (mois). <p /> Ces informations sont utiles pour estimer le degré de fluidité du marché du travail et pour identifier les domaines d'activité économique où la rotation de la main-d'œuvre est rapide ou non. Les données sont jusqu'à présent rapportées pour un certain nombre de pays européens et seront étendues pour couvrir un plus grand nombre de pays. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,TENURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2016,SEX=_T,AGE=_T, JOB_TENURE=M_LT12 DEFAULT Employment by job tenure intervals - persons Emploi par intervalles d'ancienneté - personnes This dataset contains data on job tenure composition (in persons) by job tenure intervals. Data are broken down by professional status - employees, total employment – sex, five-year and broad age groups (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> Job tenure is measured by the length of time workers have been in their current or main job or with their current employer. <p /> This information is valuable for estimating the degree of fluidity in the labour market and in identifying the areas of economic activity where the turnover of labour is rapid or otherwise. Data are so far reported for a number of European countries and will be expanded to cover a greater number of countries. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient des données sur la composition de l'ancienneté (en personnes) par intervalles d'ancienneté. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe, quinquennat et grands groupes d'âge (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> L'ancienneté est mesurée par la durée pendant laquelle les travailleurs occupent leur emploi actuel ou principal ou travaillent pour leur employeur actuel. <p /> Ces informations sont utiles pour estimer le degré de fluidité du marché du travail et pour identifier les domaines d'activité économique où la rotation de la main-d'œuvre est rapide ou non. Les données sont jusqu'à présent rapportées pour un certain nombre de pays européens et seront étendues pour couvrir un plus grand nombre de pays. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true REF_AREA,TENURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN SEX,AGE LAYOUT_ROW_SECTION OBS_STATUS=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2016,SEX=_T,AGE=_T, JOB_TENURE=M_LT12 DEFAULT Employment by job tenure intervals - frequency Emploi par intervalles d'ancienneté - fréquence This dataset contains the tenure composition (as a percentage of all job tenures) by job tenure intervals. Data are broken down by professional status - employees, total employment – sex, five-year and broad age groups (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> Job tenure is measured by the length of time workers have been in their current or main job or with their current employer. <p /> This information is valuable for estimating the degree of fluidity in the labour market and in identifying the areas of economic activity where the turnover of labour is rapid or otherwise. Data are so far reported for a number of European countries and will be expanded to cover a greater number of countries. <p /> In order to facilitate analysis and comparisons over time, historical data for OECD members have been provided over as long a period as possible, often even before a country became a member of the Organisation. Information on the membership dates of all OECD countries can be found at <a href="http://www.oecd.org/about/membersandpartners/list-oecd-member-countries.htm">OECD Ratification Dates</a>. <p /> Information for all countries and all LFS subjects may be found in the attached file <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. Cet ensemble de données contient la composition de l'ancienneté (en pourcentage de toutes les anciennes fonctions) par intervalles d'ancienneté. Les données sont ventilées par statut professionnel - salariés, emploi total - sexe, quinquennat et grands groupes d'âge (15-24, 25-54, 55-64, 15-64, total, etc.). <p /> L'ancienneté est mesurée par la durée pendant laquelle les travailleurs occupent leur emploi actuel ou principal ou travaillent pour leur employeur actuel. <p /> Ces informations sont utiles pour estimer le degré de fluidité du marché du travail et pour identifier les domaines d'activité économique où la rotation de la main-d'œuvre est rapide ou non. Les données sont jusqu'à présent rapportées pour un certain nombre de pays européens et seront étendues pour couvrir un plus grand nombre de pays. <p /> Afin de faciliter les analyses statistiques et les comparaisons dans le temps, l'OCDE s'efforce de présenter la série temporelle la plus longue possible pour chaque pays membre. C'est ainsi que sont souvent présentées des données correspondant à des périodes antérieures à l'adhésion du pays à l'Organisation. On trouvera des précisions sur la date exacte d'adhésion des différents pays de l'OCDE à l'adresse suivante : <a href="http://www.oecd.org/fr/apropos/membresetpartenaires/liste-des-pays-de-l-ocde.htm">Dates d'adhésion à l'OCDE</a>. <p /> Pour des informations détaillées sur les enquêtes sur la population active pour tous les pays, veuillez consulter le fichier <a href="https://www.oecd.org/content/dam/oecd/en/data/datasets/employability-data/LFSNOTES_SOURCES.pdf">LFS_NOTES_SOURCES</a>. NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Collective bargaining coverage Couverture conventionnelle The database on Institutional Characteristics of Trade Unions, Wage Setting, State Intervention and Social Pacts (ICTWSS) was developed by Prof. Jelle Visser at the University of Amsterdam. It was first released in May 2007. In its initial form, the ICTWSS database combined data from various sources and projects with a main focus on trade union in EU and OECD countries, collective bargaining and employment relations in Europe, and social pacts. In 2021, the ICTWSS database was rebranded as the OECD/AIAS ICTWSS database to reflect the joint effort by the OECD and AIAS-HSI to ensure the continuation of the database following Prof. Visser’s retirement. The OECD/AIAS ICTWSS database is publicly available at: <a href="http://www.oecd.org/employment/ictwss-database.htm" target="_blank"> http://www.oecd.org/employment/ictwss-database.htm</a> La base de données sur les caractéristiques institutionnelles des syndicats, la fixation des salaires, l'intervention de l'État et les pactes sociaux (ICTWSS) a été développée par le professeur Jelle Visser de l'université d'Amsterdam. Elle a été publiée pour la première fois en mai 2007. Dans sa forme initiale, la base de données ICTWSS combinait des données provenant de diverses sources et projets, en mettant l'accent sur les syndicats dans les pays de l'UE et de l'OCDE, les négociations collectives et les relations de travail en Europe, et les pactes sociaux. En 2021, la base de données ICTWSS a été rebaptisée base de données ICTWSS de l'OCDE/AIAS. Ce nouveau nom reflète l'effort conjoint de l'OCDE et de l'AIAS-HSI pour assurer la continuité de la base de données après le départ à la retraite du professeur Visser. La base de données ICTWSS de l'OCDE/AIAS est accessible en ligne à : <a href=https://www.oecd.org/fr/emploi/ictwss-database.htm" target="_blank"> http://www.oecd.orgfr/emploi/ictwss-database.htm</a> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2000 DEFAULT Trade union density Taux de syndicalisation The database on Institutional Characteristics of Trade Unions, Wage Setting, State Intervention and Social Pacts (ICTWSS) was developed by Prof. Jelle Visser at the University of Amsterdam. It was first released in May 2007. In its initial form, the ICTWSS database combined data from various sources and projects with a main focus on trade union in EU and OECD countries, collective bargaining and employment relations in Europe, and social pacts. In 2021, the ICTWSS database was rebranded as the OECD/AIAS ICTWSS database to reflect the joint effort by the OECD and AIAS-HSI to ensure the continuation of the database following Prof. Visser’s retirement. The OECD/AIAS ICTWSS database is publicly available at: <a href="http://www.oecd.org/employment/ictwss-database.htm" target="_blank"> http://www.oecd.org/employment/ictwss-database.htm</a> La base de données sur les caractéristiques institutionnelles des syndicats, la fixation des salaires, l'intervention de l'État et les pactes sociaux (ICTWSS) a été développée par le professeur Jelle Visser de l'université d'Amsterdam. Elle a été publiée pour la première fois en mai 2007. Dans sa forme initiale, la base de données ICTWSS combinait des données provenant de diverses sources et projets, en mettant l'accent sur les syndicats dans les pays de l'UE et de l'OCDE, les négociations collectives et les relations de travail en Europe, et les pactes sociaux. En 2021, la base de données ICTWSS a été rebaptisée base de données ICTWSS de l'OCDE/AIAS. Ce nouveau nom reflète l'effort conjoint de l'OCDE et de l'AIAS-HSI pour assurer la continuité de la base de données après le départ à la retraite du professeur Visser. La base de données ICTWSS de l'OCDE/AIAS est accessible en ligne à : <a href=https://www.oecd.org/fr/emploi/ictwss-database.htm" target="_blank"> http://www.oecd.orgfr/emploi/ictwss-database.htm</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2024 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.SPD:HCL_PAG_SEX(1.0).H HIER_CONTEXT 12000 MAX_TABLE_DATA Demographic and economic context Contexte démograpique et économique The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> La base de données « Panorama des pensions » de l'OCDE a été développée afin de répondre à un besoin croissant en matière d'indicateurs sur les retraites. Elle comprend des statistiques fiables et comparables au niveau international sur les retraites publiques, obligatoires et volontaires. Elle couvre les pays de l'OCDE et vise à couvrir tous les pays du G20. « Panorama des pensions » examine et analyse les mesures prises ou légiférées dans les pays de l'OCDE en matière de retraite pour les travailleurs entrant sur le marché du travail à l'âge de 22 ans au cours de l'année spécifiée. Elle fournit une analyse approfondie du premier niveau de protection des personnes âgées, les pensions de premier niveau dans les différents pays, et propose une sélection complète d'indicateurs de politique de retraite pour tous les pays de l'OCDE et du G20. <a href=""http://oe.cd/pag« »>OCDE Pensions at a Glance - Indicateurs de l'OCDE et du G20</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2024,TIME_PERIOD_END=2024 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.SPD:HCL_PAG_SEX(1.0).H HIER_CONTEXT 12000 MAX_TABLE_DATA Design of pension systems Architecture des systèmes de retraite The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> La base de données « Panorama des pensions » de l'OCDE a été développée afin de répondre à un besoin croissant en matière d'indicateurs sur les retraites. Elle comprend des statistiques fiables et comparables au niveau international sur les retraites publiques, obligatoires et volontaires. Elle couvre les pays de l'OCDE et vise à couvrir tous les pays du G20. « Panorama des pensions » examine et analyse les mesures prises ou légiférées dans les pays de l'OCDE en matière de retraite pour les travailleurs entrant sur le marché du travail à l'âge de 22 ans au cours de l'année spécifiée. Elle fournit une analyse approfondie du premier niveau de protection des personnes âgées, les pensions de premier niveau dans les différents pays, et propose une sélection complète d'indicateurs de politique de retraite pour tous les pays de l'OCDE et du G20. <a href=""http://oe.cd/pag« »>OCDE Pensions at a Glance - Indicateurs de l'OCDE et du G20</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2020,TIME_PERIOD_END=2020 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.SPD:HCL_PAG_SEX(1.0).H HIER_CONTEXT 12000 MAX_TABLE_DATA Income and poverty of older people Revenus et pauvreté des personnes âgées The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> La base de données « Panorama des pensions » de l'OCDE a été développée afin de répondre à un besoin croissant en matière d'indicateurs sur les retraites. Elle comprend des statistiques fiables et comparables au niveau international sur les retraites publiques, obligatoires et volontaires. Elle couvre les pays de l'OCDE et vise à couvrir tous les pays du G20. « Panorama des pensions » examine et analyse les mesures prises ou légiférées dans les pays de l'OCDE en matière de retraite pour les travailleurs entrant sur le marché du travail à l'âge de 22 ans au cours de l'année spécifiée. Elle fournit une analyse approfondie du premier niveau de protection des personnes âgées, les pensions de premier niveau dans les différents pays, et propose une sélection complète d'indicateurs de politique de retraite pour tous les pays de l'OCDE et du G20. <a href=""http://oe.cd/pag« »>OCDE Pensions at a Glance - Indicateurs de l'OCDE et du G20</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2024,MEASURE=CRPLF22+FRPLF22+GPRR100+ATRW+ATRAEP+ATRPPAE+NPRR100+GPW100+NPW100+FR+LE+ER+OAWAR+ELMEA+EYLME+EDIOP+PTOP+OCOP+CIOP+EIOP+AWGW+OAIP+PEP+PPEP DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.SPD:HCL_PAG_SEX(1.0).H HIER_CONTEXT 12000 MAX_TABLE_DATA Pensions at a glance Panorama des pensions The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> La base de données « Panorama des pensions » de l'OCDE a été développée afin de répondre à un besoin croissant en matière d'indicateurs sur les retraites. Elle comprend des statistiques fiables et comparables au niveau international sur les retraites publiques, obligatoires et volontaires. Elle couvre les pays de l'OCDE et vise à couvrir tous les pays du G20. « Panorama des pensions » examine et analyse les mesures prises ou légiférées dans les pays de l'OCDE en matière de retraite pour les travailleurs entrant sur le marché du travail à l'âge de 22 ans au cours de l'année spécifiée. Elle fournit une analyse approfondie du premier niveau de protection des personnes âgées, les pensions de premier niveau dans les différents pays, et propose une sélection complète d'indicateurs de politique de retraite pour tous les pays de l'OCDE et du G20. <a href=""http://oe.cd/pag« »>OCDE Pensions at a Glance - Indicateurs de l'OCDE et du G20</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2024 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.SPD:HCL_PAG_SEX(1.0).H HIER_CONTEXT 12000 MAX_TABLE_DATA Pension replacement rates Taux de remplacement des pensions The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> La base de données « Panorama des pensions » de l'OCDE a été développée afin de répondre à un besoin croissant en matière d'indicateurs sur les retraites. Elle comprend des statistiques fiables et comparables au niveau international sur les retraites publiques, obligatoires et volontaires. Elle couvre les pays de l'OCDE et vise à couvrir tous les pays du G20. « Panorama des pensions » examine et analyse les mesures prises ou légiférées dans les pays de l'OCDE en matière de retraite pour les travailleurs entrant sur le marché du travail à l'âge de 22 ans au cours de l'année spécifiée. Elle fournit une analyse approfondie du premier niveau de protection des personnes âgées, les pensions de premier niveau dans les différents pays, et propose une sélection complète d'indicateurs de politique de retraite pour tous les pays de l'OCDE et du G20. <a href=""http://oe.cd/pag« »>OCDE Pensions at a Glance - Indicateurs de l'OCDE et du G20</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SEX,AGE,OPTIONALITY,UNIT_MEASURE LAYOUT_COLUMN 1 LAYOUT_TIME_PERIOD_DESC OBS_STATUS=A,FREQ=A,UNIT_MULT=0,SEX=_Z,AGE=_Z NOT_DISPLAYED TIME_PERIOD_START=2019,TIME_PERIOD_END=2024 DEFAULT COMBINED_MEASURE:MEASURE,AGE,SEX,OPTIONALITY;COMBINED_UNIT_MEASURE:UNIT_MEASURE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure SEX:OECD.ELS.SPD:HCL_PAG_SEX(1.0).H HIER_CONTEXT 12000 MAX_TABLE_DATA Pension wealth Patrimoine pensions The OECD Pensions at a Glance Database has been developed in order to serve a growing need for pensions indicators. It includes reliable and internationally comparable statistics on public and mandatory and voluntary pensions. It covers OECD countries and aims to cover all G20 countries. Pensions at a Glance reviews and analyses the pension measures enacted or legislated in OECD countries for workers entering the labour market at age 22 in the specified year. It provides an in-depth review of the first layer of protection of the elderly, first-tier pensions across countries and provideds a comprehensive selection of pension policy indicators for all OECD and G20 countries.</p> <a href="http://oe.cd/pag">OECD Pensions at a Glance - OECD and G20 indicators</a> La base de données « Panorama des pensions » de l'OCDE a été développée afin de répondre à un besoin croissant en matière d'indicateurs sur les retraites. Elle comprend des statistiques fiables et comparables au niveau international sur les retraites publiques, obligatoires et volontaires. Elle couvre les pays de l'OCDE et vise à couvrir tous les pays du G20. « Panorama des pensions » examine et analyse les mesures prises ou légiférées dans les pays de l'OCDE en matière de retraite pour les travailleurs entrant sur le marché du travail à l'âge de 22 ans au cours de l'année spécifiée. Elle fournit une analyse approfondie du premier niveau de protection des personnes âgées, les pensions de premier niveau dans les différents pays, et propose une sélection complète d'indicateurs de politique de retraite pour tous les pays de l'OCDE et du G20. <a href=""http://oe.cd/pag« »>OCDE Pensions at a Glance - Indicateurs de l'OCDE et du G20</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,UNIT_MEASURE=PT_B1GQ,PROGRAMME_TYPE=_T DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Net total social expenditure in % GDP Dépenses sociales totales nettes, en % du PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under <a href="https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html">www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb">net total social spending</a> for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2021/23 pour les 38 pays de l'OCDE et certains pays en voie d'adhésion et des estimations pour les agrégats pour 2022-24. Un point sur les dépenses sociales est disponible sous <a href=" https://www.oecd.org/fr/data/datasets/social-expenditure-database-socx.html "> www.oecd.org/fr/data/datasets/social-expenditure-database-socx.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb&pg=0">dépenses totales nettes</a>pour 2021 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public expenditure on disability and sickness cash benefits in % GDP Dépenses publiques de prestations en espèces d'invalidité et maladie, en % PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under <a href="https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html">www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb">net total social spending</a> for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2021/23 pour les 38 pays de l'OCDE et certains pays en voie d'adhésion et des estimations pour les agrégats pour 2022-24. Un point sur les dépenses sociales est disponible sous <a href=" https://www.oecd.org/fr/data/datasets/social-expenditure-database-socx.html "> www.oecd.org/fr/data/datasets/social-expenditure-database-socx.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb&pg=0">dépenses totales nettes</a>pour 2021 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public expenditure on family by type of expenditure (cash and in kind) in % GDP Dépenses publiques pour la famille selon le type de dépense (en espèces et en nature), en % du PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under <a href="https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html">www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb">net total social spending</a> for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2021/23 pour les 38 pays de l'OCDE et certains pays en voie d'adhésion et des estimations pour les agrégats pour 2022-24. Un point sur les dépenses sociales est disponible sous <a href=" https://www.oecd.org/fr/data/datasets/social-expenditure-database-socx.html "> www.oecd.org/fr/data/datasets/social-expenditure-database-socx.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb&pg=0">dépenses totales nettes</a>pour 2021 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public expenditure on old-age and survivors cash benefits in % GDP Dépenses publiques de prestations en espèces de retraite et de réversion, en % PIB The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under <a href="https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html">www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb">net total social spending</a> for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2021/23 pour les 38 pays de l'OCDE et certains pays en voie d'adhésion et des estimations pour les agrégats pour 2022-24. Un point sur les dépenses sociales est disponible sous <a href=" https://www.oecd.org/fr/data/datasets/social-expenditure-database-socx.html "> www.oecd.org/fr/data/datasets/social-expenditure-database-socx.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb&pg=0">dépenses totales nettes</a>pour 2021 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES50,SPENDING_TYPE=_T,PROGRAMME_TYPE=_T,UNIT_MEASURE=PT_B1GQ DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Public and private social expenditure Dépenses sociales publiques et privées par pays The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under <a href="https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html">www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb">net total social spending</a> for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2021/23 pour les 38 pays de l'OCDE et certains pays en voie d'adhésion et des estimations pour les agrégats pour 2022-24. Un point sur les dépenses sociales est disponible sous <a href=" https://www.oecd.org/fr/data/datasets/social-expenditure-database-socx.html "> www.oecd.org/fr/data/datasets/social-expenditure-database-socx.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb&pg=0">dépenses totales nettes</a>pour 2021 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN EXPEND_SOURCE,SPENDING_TYPE,PROGRAMME_TYPE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,EXPEND_SOURCE=ES10,SPENDING_TYPE=_T,UNIT_MEASURE=PT_B1GQ,PROGRAMME_TYPE=_T DEFAULT PROGRAMME_TYPE:OECD.ELS.SPD:HCL_PROGRAMME_TYPE(1.0).H,SPENDING_TYPE:OECD.ELS.SPD:HCL_SPENDING_TYPE(1.0).H,PRICE_BASE:OECD.ELS.SPD:HCL_PRICE_BASE(1.0).H,UNIT_MEASURE:OECD.ELS.SPD:HCL_UNIT_MEASURE(1.0).H HIER_CONTEXT Social expenditure aggregates Agrégats de dépenses sociales The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under <a href="https://www.oecd.org/en/data/datasets/social-expenditure-database-socx.html">www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm</a>. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of <a href="https://data-explorer.oecd.org/vis?lc=en&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb">net total social spending</a> for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database</a>. La base de données des dépenses sociales de l'OCDE (SOCX) a été développée pour servir un besoin grandissant d'indicateurs de politique sociale. Elle contient des données fiables et comparables internationalement sur les dépenses sociales publiques et privées obligatoires et volontaires par programmes de dépenses. SOCX a ainsi été constituée dans le but de disposer d’un instrument permettant de suivre l’évolution des dépenses sociales dans son ensemble et d’analyser les changements se produisant dans leur composition. Elle contient des séries chronologiques pour la période 1980-2021/23 pour les 38 pays de l'OCDE et certains pays en voie d'adhésion et des estimations pour les agrégats pour 2022-24. Un point sur les dépenses sociales est disponible sous <a href=" https://www.oecd.org/fr/data/datasets/social-expenditure-database-socx.html "> www.oecd.org/fr/data/datasets/social-expenditure-database-socx.htm </a>Les dépenses sont réparties entre 9 domaines de la protection sociale : Vieillesse, Survie, Incapacité, Santé, Famille, Programmes actifs du marché du travail, Chômage, Logement et Autres domaines de politique sociale. Cette version comprend aussi des estimations de <a href="https://data-explorer.oecd.org/vis?lc=fr&df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_SOCX_AGG%40DF_NET_GDP&df[ag]=OECD.ELS.SPD&df[vs]=1.0&dq=.A..PT_B1GQ.ES50._T._T.&pd=2010%2C&to[TIME_PERIOD]=false&vw=tb&pg=0">dépenses totales nettes</a>pour 2021 pour 38 pays. Les données agrégées de SOCX ainsi que les sources et la méthodologie sont présentées dans <a href="http://www.oecd.org/social/soc/SOCX_Manuel_2019.pdf">Le Manuel SOCX de l'OCDE– Edition 2019 - Un guide de la base de la Base de données de l'OCDE</a> (en anglais uniquement) NonProductionDataflow true GHG LAYOUT_ROW TIME_PERIOD,PLASTIC_LIFEC_S LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED TIME_PERIOD_START=2015 DEFAULT REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Greenhouse gas emissions from Plastic Lifecycle from 2015 to 2019 Émissions de gaz à effet de serre de l’ensemble du cycle de vie des plastiques de 2015 à 2019 <p>The dataset displays greenhouse gas emissions from the plastic lifecycle, in million tonnes of CO2 equivalent (MtCO2e). The dataset provides information at the global level. Details can be found in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><span style="text-decoration: underline;"><em>Aggregation &amp; consolidation:</em></span> Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995).&nbsp;</p> <p><span style="text-decoration: underline;"><em>Other manipulations:</em></span> Emission coefficients by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model.</p> <p>&nbsp;</p> <p><strong>Contact:</strong>&nbsp;<a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.nature.com/articles/s41558-019-0459-z">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>La base de donn&eacute;es affiche les &eacute;missions de gaz &agrave; effet de serre provenant de l'ensemble du cycle de vie des plastiques, en millions de tonnes d&apos;&eacute;quivalent CO2 (MtCO2e). La base de donn&eacute;es fournit des informations au niveau mondial. Les informations peuvent &ecirc;tre trouv&eacute;es dans l&apos;Annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><em>Agr&eacute;gation et consolidation :</em> Les &eacute;missions de gaz &agrave; effet de serre sont agr&eacute;g&eacute;es en utilisant le potentiel de r&eacute;chauffement global sur 100 ans (PRG) de l&apos;AR2 (GIEC, 1995).</p> <p><em>Autres manipulations :</em> Les coefficients d&apos;&eacute;mission par &eacute;tape et par polym&egrave;re ou destin&eacute;e en fin de vie sont extrapol&eacute;s &agrave; partir des donn&eacute;es de 2015 en utilisant des indices. Ces indices sont bas&eacute;s sur l&apos;intensit&eacute; des &eacute;missions de scope 2 de la production de plastiques primaires et secondaires (y compris les secteurs amont) du mod&egrave;le ENV-Linkages de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact : </strong> <a href="">env.linkages@oecd.org</a></p> <p><strong>Sources utilisées :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> NonProductionDataflow true TIME_PERIOD LAYOUT_ROW PLASTIC_LIFEC_S,SCENARIO,GHG LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED TIME_PERIOD_START=2019 DEFAULT REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Greenhouse Gas Emissions from Plastic Lifecycle Projections des émissions de gaz à effet de serre de l’ensemble du cycle de vie des plastiques <p>The dataset displays projections of greenhouse gas emissions from primary plastics, in million tonnes of CO2 equivalent (t CO2 eq). The dataset provides estimates at the global level under different scenarios. Details can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon of the projections is 2060.</p> <p><span style="text-decoration: underline;"><em>Aggregation &amp; consolidation:</em></span> Greenhouse gases emissions are aggregated using 100-year global warming potential (GWP) from AR2 (IPCC, 1995).&nbsp;</p> <p><span style="text-decoration: underline;"><em>Other manipulations:</em></span> Emission coefficients by stage and polymer or end-of-life fate are extrapolated from 2015 data using indexes. These indexes are built on scope-2 emissions intensity of primary and secondary plastics production (incl. upstream sectors) from the OECD ENV-Linkages model.</p> <p>&nbsp;</p> <p><strong>Contact:</strong>&nbsp;<a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:</strong> <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>,&nbsp;<a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.nature.com/articles/s41558-019-0459-z">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> <p>La base de donn&eacute;es affiche les projections des &eacute;missions de gaz &agrave; effet de serre provenant des plastiques primaires, en millions de tonnes d'&eacute;quivalent CO2 (t CO2 eq). La base de donn&eacute;es fournit des&nbsp;estimations au niveau mondial pour diff&eacute;rents sc&eacute;narios d&eacute;taill&eacute;s dans l'Annexe des Perspectives Mondiales des Plastiques de l'OCDE: Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><em>Agr&eacute;gation et consolidation :</em> Les &eacute;missions de gaz &agrave; effet de serre sont agr&eacute;g&eacute;es en utilisant le potentiel de r&eacute;chauffement global sur 100 ans (PRG) de l'AR2 (GIEC, 1995).</p> <p><em>Autres manipulations :</em> Les coefficients d'&eacute;mission par &eacute;tape et par polym&egrave;re ou destin&eacute;e en fin de vie sont extrapol&eacute;s &agrave; partir des donn&eacute;es de 2015 en utilisant des indices. Ces indices sont bas&eacute;s sur l'intensit&eacute; des &eacute;missions de scope 2 de la production de plastiques primaires et secondaires (y compris les secteurs amont) du mod&egrave;le ENV-Linkages de l'OCDE.</p> <p>&nbsp;</p> <p><strong>Contact : </strong> <a>env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>,</strong> <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>,&nbsp;<a href="https://www.nature.com/articles/s41558-019-0459-z">Zheng and Suh (2019)</a></p> <p>&nbsp;</p> <p>&nbsp;</p> NonProductionDataflow true REF_AREA,PLASTIC_WATER,MISMANAGED_LITTERED_PLASTIC LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PL_MLW,TIME_PERIOD_START=1990 DEFAULT COMBINED_CONCEPT:PLASTIC_WATER,MISMANAGED_LITTERED_PLASTIC COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Leakage - Estimations from 1990 to 2019 Rejets de plastiques de 1990 à 2019 <p>The dataset displays estimations of plastic leakage from mismanaged and littered waste and plastic leakage to aquatic environments, in million tonnes (Mt) of plastic. This dataset provides estimates of plastics leakage for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.</p> <p><em>Additional information:</em> Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> <p>La base de donn&eacute;es affiche les estimations de rejets de plastiques provenant de la mauvaise gestion des d&eacute;chets et de rejets de plastique dans les environnements aquatiques, en millions de tonnes (t) de plastique. Cette base de donn&eacute;es fournit des estimations de rejets de plastique pour les 15 r&eacute;gions globales du model ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;s dans l&apos;Annexe des Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires&nbsp;:</em> Les estimations de rejets de plastique provenant de la mauvaise gestion des d&eacute;chets correspondent &agrave; la moyenne des estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont &eacute;t&eacute; appliqu&eacute;es aux r&eacute;sultats du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les rejets de plastiques provenant de toutes les autres sources correspondent aux estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-cat&eacute;gorie du transport vers les oc&eacute;ans sont estim&eacute;es en appliquant la m&eacute;thodologie adapt&eacute;e de Lebreton et Andrady (2019), sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE et les rejets de plastique issues de la mauvaise gestion et des d&eacute;chets. Le stock accumul&eacute; de rejets de plastique dans les rivi&egrave;res et les lacs correspond &agrave; la somme cumulative nette des rejets dans les rivi&egrave;res et les lacs &agrave; partir de 1951. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;Annexe de la Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact :&nbsp;</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : &nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW PLASTIC_CATEGORY,PLASTIC_SOURCE LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Leakage in 2019 Rejets de plastiques en 2019 <p>The dataset displays estimations of plastic leakage plastic leakage to the environment in 2019, in million tonnes (Mt) of plastic for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.</p> <p><em>Additional information:</em> Plastic leakage to the environment include estimates of plastic leakage from various sources. Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates caclulated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in rivers and lakes corresponds to the net cumulative sum of leakages in rivers and lakes from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> <p>La base de donn&eacute;es affiche les rejets de plastiques dans l&apos;environnement en 2019, en millions de tonnes (t) de plastique pour les 15 r&eacute;gions globales du model ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;es dans l&apos;Annexe des Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires&nbsp;:</em> Les rejets de plastique dans l&apos;environment incluent les estimations de rejets de plastiques provenant de diff&eacute;rentes sources. Les estimations des rejets de plastique provenant de la mauvaise gestion des d&eacute;chets correspondent &agrave; la moyenne des estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont &eacute;t&eacute; appliqu&eacute;es aux r&eacute;sultats du mod&egrave;le OECD ENV-Linkages. Les rejets de plastique provenant de toutes les autres sources correspondent aux estimations calcul&eacute;es en utilisant la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-cat&eacute;gorie du transport vers les oc&eacute;ans sont estim&eacute;es en appliquant la m&eacute;thodologie adapt&eacute;e de Lebreton et Andrady (2019), sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE et les rejets de plastique issues de la mauvaise gestion et des d&eacute;chets. Le stock accumul&eacute; de rejets de plastique dans les rivi&egrave;res et les lacs correspond &agrave; la somme cumulative nette des rejets dans les rivi&egrave;res et les lacs &agrave; partir de 1951. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;Annexe de la Perspective Mondiale des Plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact :&nbsp;</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : &nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> NonProductionDataflow true REF_AREA,SCENARIO,PLASTIC_CATEGORY,PLASTIC_WATER LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PL_PROJECTION,TIME_PERIOD_START=2019 DEFAULT COMBINED_CONCEPT:PLASTIC_CATEGORY,PLASTIC_WATER COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Plastic Leakage Projections des rejets de plastiques <p>The dataset displays projections of plastic leakage to aquatic environments and plastic leakage to the environment overall, in million tonnes (t) of plastic. This dataset provides projections of plastics leakage at the global level and by region for different scenarios detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><em>Additional information:</em> Plastic leakage estimates from mismanaged waste and litter correspond to the average of the estimates caclulated using the methodology adapted from (Ryberg et al., 2019) and (Cottom, Cook and Velis, 2020) that were applied on OECD ENV-Linkages model outputs. Plastics leakages from all other sources correspond to the estimates calculated using the methodology adapted from (Ryberg et al., 2019). Plastic leakages to aquatic environments and the subcategory trasport to oceans are estimated by applying the methodology adapted from Lebreton and Andrady (2019), on OECD ENV-Linkages model outputs and plastic leakage from mismanaged and litter. The accumulated stock of plastics leakages in oceans corresponds to the net cumulative sum of leakages to oceans from 1951 onwards. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> <p>La base de donn&eacute;es affiche des projections de rejets de plastique dans les environnements aquatiques et de rejets de plastiques dans l&apos;environnement en g&eacute;n&eacute;ral, en millions de tonnes (t) de plastique. Cette base de donn&eacute;es fournit des projections de rejets de plastiques au niveau mondial et par r&eacute;gion, sous diff&eacute;rents sc&eacute;narios d&eacute;taill&eacute;s dans l&apos;annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><em>Informations compl&eacute;mentaires&nbsp;:</em> Les estimations des rejets de plastiques provenant des d&eacute;chets mal g&eacute;r&eacute;s et des d&eacute;chets sauvages correspondent &agrave; la moyenne des estimations calcul&eacute;es &agrave; l&apos;aide de la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019) et (Cottom, Cook et Velis, 2020) qui ont &eacute;t&eacute; appliqu&eacute;es sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les rejets de plastique provenant de toutes les autres sources correspondent aux estimations calcul&eacute;es &agrave; l&apos;aide de la m&eacute;thodologie adapt&eacute;e de (Ryberg et al., 2019). Les rejets de plastique vers les milieux aquatiques et la sous-cat&eacute;gorie du transport vers les oc&eacute;ans sont estim&eacute;es en appliquant la m&eacute;thodologie adapt&eacute;e de Lebreton et Andrady (2019), sur les sorties du mod&egrave;le ENV-Linkages de l&apos;OCDE et les rejets de plastique issues de la mauvaise gestion et des d&eacute;chets. Le stock accumul&eacute; de rejets de plastique dans les rivi&egrave;res et les lacs correspond &agrave; la somme cumulative nette des rejets dans les rivi&egrave;res et les lacs &agrave; partir de 1951. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;annexe des Perspectives Mondiales des plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><strong>Contact :</strong> <a>env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://plasticpollution.leeds.ac.uk/home/toolkits/spot/">Cottom, Cook and Velis (2020)</a>, <a href="https://www.nature.com/articles/s41599-018-0212-7">Lebreton and Andrady (2019)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al. (2019)</a></p> NonProductionDataflow true REF_AREA,PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PU_APP,TIME_PERIOD_START=1990 DEFAULT COMBINED_CONCEPT:PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastics Use - Estimations from 1990 to 2019 Utilisation des plastiques de 1990 à 2019 <p>The dataset displays estimations of plastic use by application, polymer, type and region, in million tonnes (t) of plastic. This dataset provides estimates of plastic use at the global level and for the 15 global regions of the OECD ENV-Linkages model. Details can be found in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer and by application is made that it is homogenous to the global values. Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> <p>La base de donn&eacute;es affiche les estimations de l&apos;utilisation des plastiques par application, par polym&egrave;re, par type de plastique et par r&eacute;gion, en millions de tonnes (Mt) de plastique. Cette base de donn&eacute;es fournit des estimations de l&apos;utilisation des plastiques au niveau mondial et pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les informations peuvent &ecirc;tre trouv&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p>Informations compl&eacute;mentaires&nbsp;: L&apos;utilisation primaire des plastiques est estim&eacute;e en utilisant les donn&eacute;es de consommation r&eacute;gionale par application de Ryberg et al. (2019). Une hypoth&egrave;se de r&eacute;partition par polym&egrave;re et par application est faite en supposant qu&apos;elle est homog&egrave;ne aux valeurs mondiales. Les valeurs historiques (donn&eacute;es ant&eacute;rieures &agrave; 2015) sont extrapol&eacute;es &agrave; partir des donn&eacute;es de 2015 en utilisant l&apos;&eacute;volution mondiale contenue dans Geyer, Jambeck et Law (2017). L&apos;utilisation secondaire des plastiques est d&eacute;riv&eacute;e en utilisant les taux de recyclage et les taux de perte de recyclage, comme d&eacute;crit dans l&apos;annexe de la Perspectives mondiales sur les plastiques de l&apos;OCDE. Les donn&eacute;es sur l&apos;utilisation des plastiques sont associ&eacute;es aux flux &eacute;conomiques dans le mod&egrave;le ENV-Linkages de l&apos;OCDE pour estimer les changements au fil du temps. L&apos;utilisation totale des plastiques est &eacute;gale &agrave; la somme de l&apos;utilisation primaire et de l&apos;utilisation secondaire des plastiques. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans les annexes de la Perspectives mondiales sur les plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW PLASTIC_POLYMER,PLASTIC_APP LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastics Use in 2019 Utilisation des plastiques en 2019 <p>The dataset displays estimations of plastic use &nbsp;in 2019, in million tonnes (t) of plastic for the 15 global regions of the OECD ENV-Linkages model. Details can be found in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). An assumption of the split by polymer and by application is made that it is homogenous to the global values. Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> <p>La base de donn&eacute;es affiche les estimations de l&apos;utilisation des plastiques en 2019, en millions de tonnes (Mt) de plastique pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE. Les informations peuvent &ecirc;tre trouv&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p>Informations compl&eacute;mentaires&nbsp;: L&apos;utilisation primaire des plastiques est estim&eacute;e en utilisant les donn&eacute;es de consommation r&eacute;gionale par application de Ryberg et al. (2019). Une hypoth&egrave;se de r&eacute;partition par polym&egrave;re et par application est faite en supposant qu&apos;elle est homog&egrave;ne aux valeurs mondiales. Les valeurs historiques (donn&eacute;es ant&eacute;rieures &agrave; 2015) sont extrapol&eacute;es &agrave; partir des donn&eacute;es de 2015 en utilisant l&apos;&eacute;volution mondiale contenue dans Geyer, Jambeck et Law (2017). L&apos;utilisation secondaire des plastiques est d&eacute;riv&eacute;e en utilisant les taux de recyclage et les taux de perte de recyclage, comme d&eacute;crit dans l&apos;annexe de la Perspectives mondiales sur les plastiques de l&apos;OCDE. Les donn&eacute;es sur l&apos;utilisation des plastiques sont associ&eacute;es aux flux &eacute;conomiques dans le mod&egrave;le ENV-Linkages de l&apos;OCDE pour estimer les changements au fil du temps. L&apos;utilisation totale des plastiques est &eacute;gale &agrave; la somme de l&apos;utilisation primaire et de l&apos;utilisation secondaire des plastiques. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans les annexes de la Perspectives mondiales sur les plastiques de l&apos;OCDE.</p> <p>&nbsp;</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> NonProductionDataflow true REF_AREA,SCENARIO,PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PU_APP_PROJECTION,TIME_PERIOD_START=2019 DEFAULT COMBINED_CONCEPT:PLASTIC_POLYMER,PLASTIC_APP,PLASTIC_TYPE COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Plastics Use Projections des utilisations de plastiques <p>The dataset displays projections of plastic use by application, polymer, type, region and of plastic use overall, in million tonnes (t) of plastic. This dataset provides estimates of plastic use at the global level and for the 15 global regions of the OECD ENV-Linkages model under different scenarios, detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon of the projections is 2060.</p> <p><em>Additional information:</em> Primary plastics use is estimated using regional consumption by application data from Ryberg et al. (2019). Historical values (pre-2015 data) is extrapolated from 2015 data using the global evolution contained in Geyer, Jambeck and Law (2017). Secondary plastics use is derived using recycling rates and recycling loss rates, as described in the Annex of the OECD Global Plastics Outlook. The plastics use data is associated with the economic flows in the OECD ENV-Linkages model to estimate changes over time. The total plastics use is equal to the sum of primary and secondary plastics use. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> <p>La base de donn&eacute;es affiche les projections de l&apos;utilisation du plastique par application, par polym&egrave;re, par type de plastique, par r&eacute;gion et de l&apos;utilisation des plastiques en g&eacute;n&eacute;ral, en millions de tonnes (t) de plastique. Cette base de donn&eacute;es fournit des estimations de l&apos;utilisation du plastique au niveau mondial et pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE selon diff&eacute;rents sc&eacute;narios, d&eacute;taill&eacute;s dans l&apos;Annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060. L&apos;horizon des projections est 2060.</p> <p><em>Informations compl&eacute;mentaires&nbsp;</em>: L&apos;utilisation principale des plastiques est estim&eacute;e en utilisant les donn&eacute;es de consommation r&eacute;gionale par application de Ryberg et al. (2019). Les valeurs historiques (donn&eacute;es ant&eacute;rieures &agrave; 2015) sont extrapol&eacute;es &agrave; partir des donn&eacute;es de 2015 en utilisant l&apos;&eacute;volution mondiale contenue dans Geyer, Jambeck et Law (2017). L&apos;utilisation secondaire des plastiques est d&eacute;riv&eacute;e en utilisant les taux de recyclage et les taux de perte de recyclage, comme d&eacute;crit dans l&apos;Annexe des Perspectives Mondiales des plastiques de l&apos;OCDE. Les donn&eacute;es sur l&apos;utilisation des plastiques sont associ&eacute;es aux flux &eacute;conomiques dans le mod&egrave;le ENV-Linkages de l&apos;OCDE pour estimer les changements au fil du temps. L&apos;utilisation totale des plastiques est &eacute;gale &agrave; la somme de l&apos;utilisation principale et de l&apos;utilisation secondaire des plastiques. La m&eacute;thodologie compl&egrave;te peut &ecirc;tre trouv&eacute;e dans l&apos;Annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017)</a>, <a href="https://www.sciencedirect.com/science/article/pii/S0921344919303659?via%3Dihub">Ryberg et al.(2019)</a></p> NonProductionDataflow true REF_AREA,PLASTIC_END_LIFE,PLASTIC_RECYCLING LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PW_RECYCL,TIME_PERIOD_START=1990 DEFAULT COMBINED_CONCEPT:PLASTIC_RECYCLING,PLASTIC_END_LIFE COMBINED_CONCEPTS COMBINED_CONCEPT:Variable COMBINED_CONCEPT:Variable REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Waste - Estimations from 1990 to 2019 Déchets plastiques de 1990 à 2019 <p>The dataset displays estimations of plastic waste by end-of-life fate and collected for recycling, in million tonnes (t) of plastic. This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste collected for recycling is estimated by applying the shares of collected for recycling on plastics waste. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> <p>La base de donn&eacute;es affiche les estimations des d&eacute;chets plastiques par mode de gestion en fin de vie et collect&eacute;s pour recyclage, en millions de tonnes (Mt) de plastique. Cette base de donn&eacute;es fournit des estimations des d&eacute;chets plastiques pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires :</em> Les d&eacute;chets plastiques sont calcul&eacute;s en fonction de l&apos;utilisation des plastiques (en volumes), en utilisant une m&eacute;thodologie bas&eacute;e sur des distributions de dur&eacute;e de vie, selon Geyer, Jambeck et Law (2017). Les d&eacute;chets plastiques sont divis&eacute;s en diff&eacute;rents flux de gestion des d&eacute;chets (modes de gstion en fin de vie) en appliquant des parts de fin de vie qui varient selon les pays et qui tiennent compte des pertes de recyclage et des d&eacute;chets collect&eacute;s. La m&eacute;thodologie utilis&eacute;e est expliqu&eacute;e dans l&apos;annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> NonProductionDataflow true REF_AREA LAYOUT_ROW PLASTIC_POLYMER,PLASTIC_APP LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Plastic Waste in 2019 Déchets plastiques en 2019 <p>The dataset displays estimations of plastic waste in 2019, in million tonnes (t) of plastic for the 15 global regions of the OECD ENV-Linkages model, detailed in the Annex of the OECD Global Plastics Outlook.&nbsp;</p> <p><em>Additional information:</em> Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. The complete methodology can be found in the Annex of the OECD Global Plastics Outlook.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> <p>La base de donn&eacute;es affiche les estimations des d&eacute;chets plastiques en 2019, en millions de tonnes (Mt) de plastique pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE, d&eacute;taill&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><em>Informations compl&eacute;mentaires :</em> Les d&eacute;chets plastiques sont calcul&eacute;s en fonction de l&apos;utilisation des plastiques (en volumes), en utilisant une m&eacute;thodologie bas&eacute;e sur des distributions de dur&eacute;e de vie, selon Geyer, Jambeck et Law (2017). La m&eacute;thodologie utilis&eacute;e est expliqu&eacute;e dans l&apos;annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es :&nbsp;</strong><a href="https://doi.org/10.1787/de747aef-en">OECD<strong>&nbsp;</strong>Global Plastics Outlook</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> NonProductionDataflow true REF_AREA,TIME_PERIOD,SCENARIO LAYOUT_ROW PLASTIC_END_LIFE LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,DECIMALS=2 NOT_DISPLAYED MEASURE=PW_EL_PROJECTION,TIME_PERIOD_START=2019 DEFAULT REF_AREA:OECD.ENV.EEI:HCL_LOCATION(1.0).H HIER_CONTEXT Projections of Plastic Waste Projections des déchets plastiques <p>The dataset displays projections of plastic waste by end-of-life fate and overall plastic waste, in million tonnes (t) of plastic. This dataset provides estimates of plastics waste for the 15 global regions of the OECD ENV-Linkages model under the baseline scenario, detailed in the Annex of the OECD Global Plastics Outlook: Policy Scenarios to 2060. The time horizon for the projections is 2060.</p> <p><em>Additional information:</em> Plastic waste is calculated as a function of plastics use (in volumes), following Geyer, Jambeck and Law (2017), using a methodology based on lifespan distributions. Plastic waste collected for recycling is estimated by applying the shares of collected for recycling on plastics waste. Plastic waste is divided into different waste management streams (end-of-life fates) by applying end-of-life shares that vary across countries and that account for account for recycling losses and collected litter. The complete methodology can be found in the Annexes of the OECD Global Plastics Outlook: Policy Scenarios to 2060.</p> <p><strong>Contact:</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Data source(s) used:&nbsp;</strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/en/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> <p>La base de donn&eacute;es affiche les projections des d&eacute;chets plastiques par mode de gestion en fin de vie et des d&eacute;chets plastiques en g&eacute;n&eacute;ral, en millions de tonnes (Mt) de plastique. Cette base de donn&eacute;es fournit des estimations des d&eacute;chets plastiques pour les 15 r&eacute;gions mondiales du mod&egrave;le ENV-Linkages de l&apos;OCDE selon le sc&eacute;nario de r&eacute;f&eacute;rence, d&eacute;taill&eacute;es en annexe des Perspectives Mondiales des Plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060. L&apos;horizon temporel pour les projections est 2060.</p> <p><em>Informations compl&eacute;mentaires :</em> Les d&eacute;chets plastiques sont calcul&eacute;s en fonction de l&apos;utilisation des plastiques (en volumes), en utilisant une m&eacute;thodologie bas&eacute;e sur des distributions de dur&eacute;e de vie, selon Geyer, Jambeck et Law (2017). Les d&eacute;chets plastiques collect&eacute;s pour le recyclage sont estim&eacute;s en appliquant les proportions collect&eacute;es pour le recyclage sur les d&eacute;chets plastiques. Les d&eacute;chets plastiques sont divis&eacute;s en diff&eacute;rents flux de gestion des d&eacute;chets (modes de gstion en fin de vie) en appliquant des parts de fin de vie qui varient selon les pays et qui tiennent compte des pertes de recyclage et des d&eacute;chets collect&eacute;s. La m&eacute;thodologie utilis&eacute;e pour calculer les parts en fin de vie est expliqu&eacute;e dans l&apos;annexe des Perspectives mondiales des plastiques de l&apos;OCDE : Sc&eacute;narios d&rsquo;action &agrave; l&rsquo;horizon 2060.</p> <p><strong>Contact :</strong> <a href="mailto:env.linkages@oecd.org">env.linkages@oecd.org</a></p> <p><strong>Sources utilis&eacute;es : </strong><a href="https://doi.org/10.1787/aa1edf33-en">OECD Global Plastics Outlook: Policy Scenarios to 2060</a>, <a href="https://www.oecd.org/content/oecd/fr/topics/sub-issues/environment-economy-modelling-and-outlooks.html">OECD ENV-Linkages model</a>, <a href="https://www.science.org/doi/10.1126/sciadv.1700782">Geyer, Jambeck and Law (2017</a>)</p> NonProductionDataflow true REF_AREA,SOURCE_DERIVATION,STATISTICAL_OPERATION,PRICES,BASE_PER,UNIT_MEASURE LAYOUT_ROW METHODOLOGY,INCOME_ELASTICITY LAYOUT_COLUMN OBS_STATUS=A+E,UNIT_MULT=0 NOT_DISPLAYED BASE_PER=2022,UNIT_MEASURE=USD_ADT_PPP,STATISTICAL_OPERATION=MEANW DEFAULT COMBINED_UNIT_MEASURE:PRICES,BASE_PER,UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Value of Statistical Life (VSL), alternative estimates (for sensitivity analysis) Valeur de la vie statistique (VVS), estimations alternatives (pour l’analyse de sensibilité) <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>The &quot;<strong>Value of a Statistical Life</strong>&quot; (VSL)&nbsp;is a concept that has helped policymakers for decades to assess the costs and benefits of any policy involving changes in mortality risk, such as air pollution regulations. This dataset provides estimates of the Value of a Statistical Life (VSL) for 2022 in constant 2020 and 2022 USD, USP PPP and local currency.</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>These estimates are based on the meta-analysis presented in the publication <em>Mortality Risk Valuation in Policy Assessment &ndash; A global meta-analysis of value of statistical life studies</em> (2025). The dataset provides average and median VSL estimates at aggregated and national levels. Whereas VSL estimates for country groups were estimated directly from the meta-data, estimates for individual countries (except the United States) were computed from the VSL estimates of country groups following the methodology in Chapter 6 of the publication and in the&nbsp;</span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'><a href="https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/10/mortality-risk-valuation-in-policy-assessment_733b9d66/documentation-for-users-ob.pdf">dataset documentation</a></span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>.&nbsp;</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><u><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>These alternative estimates are intended for sensitivity analysis and provide an alternative to the recommended values</span></u><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>. Filters allow users to test assumptions which may differ from those recommended by the OECD (more details in the dataset documentation). Missing values in the dataset correspond to the recommended VSL estimates, which are available in a dedicated dataset.</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Contact:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span><span style="color:black;"><a href="mailto:env.stat@oecd.org"><span style='font-size:14px;font-family:"Helvetica",sans-serif;'>env.stat@oecd.org</span></a></span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'><br> <strong>Dataset publication date:</strong> October 2025</span></p> <div style="bottom: 10px; right: 10px; position: absolute;"><a href="https://wordtohtml.net/?utm_source=wth_free_link&utm_medium=external" target="_blank" style="font-size:11px; color: #d0d0d0;">HTML cleaned and optimized with WordToHTML.net</a> <p><br></p> </div> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;text-align:justify;'>La &laquo; Valeur de la Vie Statistique &raquo; (VVS) est un concept qui, depuis des d&eacute;cennies, aide les d&eacute;cideurs &agrave; &eacute;valuer les co&ucirc;ts et les avantages de toute politique impliquant des changements dans le risque de mortalit&eacute;, comme les r&eacute;glementations sur la pollution de l&rsquo;air. Cette base de donn&eacute;es fournit des estimations recommand&eacute;es de VVS pour l&rsquo;ann&eacute;e 2022, exprim&eacute;es en dollars constants de 2020 et 2022, en parit&eacute; de pouvoir d&rsquo;achat (PPA) des &Eacute;tats-Unis, ainsi qu&rsquo;en monnaie locale.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;text-align:justify;'>Ces VVS sont calcul&eacute;es sur la base d&rsquo;une m&eacute;ta-analyse issue de la publication <em>Mortality Risk Valuation in Policy Assessment &ndash; A global meta-analysis of value of statistical life studies</em> (2025). La pr&eacute;sente base de donn&eacute;es offre un aper&ccedil;u des estimations moyennes et m&eacute;dianes recommand&eacute;es de la VVS au niveau r&eacute;gional et national. La m&eacute;thodologie est pr&eacute;sent&eacute;e dans le chapitre 6 de la publication et dans la <a href="https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/10/mortality-risk-valuation-in-policy-assessment_733b9d66/documentation-for-users-ob.pdf">documentation de la base de donn&eacute;es</a>.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;text-align:justify;'><u>Ces estimations alternatives sont destin&eacute;es &agrave; l&rsquo;analyse de sensibilit&eacute; et offrent une alternative aux valeurs recommand&eacute;es</u>. Des filtres permettent aux utilisateurs de tester des hypoth&egrave;ses pouvant diff&eacute;rer de celles recommand&eacute;es par l&rsquo;OCDE (plus de d&eacute;tails dans la documentation de la base de donn&eacute;es). Les valeurs manquantes dans la base de donn&eacute;es correspondent aux estimations recommand&eacute;es de la VVS, qui sont disponibles dans une base de donn&eacute;es d&eacute;di&eacute;e.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><em><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span></em></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Contact:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span><span style="color:black;"><a href="mailto:env.stat@oecd.org"><span style='font-size:14px;font-family:"Helvetica",sans-serif;'>env.stat@oecd.o</span>rg</a></span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Date de publication:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;October 2025</span></p> <div style="bottom: 10px; right: 10px; position: absolute;"><a href="https://wordtohtml.net/?utm_source=wth_free_link&utm_medium=external" target="_blank" style="font-size:11px; color: #d0d0d0;">Created with Word to HTML Converter</a> <p><br></p> </div> NonProductionDataflow true REF_AREA,SOURCE_DERIVATION,STATISTICAL_OPERATION,PRICES,BASE_PER,UNIT_MEASURE LAYOUT_ROW OBS_STATUS=A+E,UNIT_MULT=0 NOT_DISPLAYED BASE_PER=2022,UNIT_MEASURE=USD_ADT_PPP,STATISTICAL_OPERATION=MEANW DEFAULT COMBINED_UNIT_MEASURE:PRICES,BASE_PER,UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Value of Statistical Life (VSL), recommended estimates Valeur de la vie statistique (VVS), estimations recommandées <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>The &ldquo;<strong>Value of Statistical Life</strong>&rdquo; (VSL) is a concept that has for decades helped policymakers to assess the costs and benefits of any policy that involves changes in mortality risk, such as air pollution regulations. This dataset provides recommended Value of Statistical Life (VSL) estimates for 2022 in constant 2020 and 2022 USD, USP PPP and local currency.&nbsp;</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>These VSL are computed based on the meta-analysis from the publication <em>Mortality Risk Valuation in Policy Assessment &ndash; A global meta-analysis of value of statistical life studies</em> (2025). The present dataset provides an overview of recommended mean and median region- and country-level VSL estimates. &nbsp;Whereas VSL estimates for country groups were estimated directly from the meta-data, estimates for individual countries (except the United States) were computed from the VSL estimates of country groups following the methodology in Chapter 6 of the publication and in the&nbsp;</span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'><a href="https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/10/mortality-risk-valuation-in-policy-assessment_733b9d66/documentation-for-users-ob.pdf">dataset documentation</a></span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>.&nbsp;</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><em><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'> </span></em></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Contact:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span><span style="color:black;"><a href="mailto:env.stat@oecd.org"><span style='font-size:14px;font-family:"Helvetica",sans-serif;'>env.stat@oecd.o</span>rg</a></span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Dataset release date:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;October 2025</span></p> <div style="bottom: 10px; right: 10px; position: absolute;"><a href="https://wordtohtml.net/?utm_source=wth_free_link&utm_medium=external" target="_blank" style="font-size:11px; color: #d0d0d0;">HTML cleaned and optimized with WordToHTML.net</a> <p><br></p> </div> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;text-align:justify;'>La &laquo; Valeur de la Vie Statistique &raquo; (VVS) est un concept qui, depuis des d&eacute;cennies, aide les d&eacute;cideurs &agrave; &eacute;valuer les co&ucirc;ts et les avantages de toute politique impliquant des changements dans le risque de mortalit&eacute;, comme les r&eacute;glementations sur la pollution de l&rsquo;air. Cette base de donn&eacute;es fournit des estimations recommand&eacute;es de la Valeur de la Vie Statistique (VVS) pour l&rsquo;ann&eacute;e 2022, exprim&eacute;es en dollars constants de 2020 et 2022, en parit&eacute; de pouvoir d&rsquo;achat (PPA) des &Eacute;tats-Unis, ainsi qu&rsquo;en monnaie locale.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;text-align:justify;'>Ces VVS sont calcul&eacute;es sur la base d&rsquo;une m&eacute;ta-analyse issue de la publication <em>Mortality Risk Valuation in Policy Assessment &ndash; A global meta-analysis of value of statistical life studies</em> (2025). La pr&eacute;sente base de donn&eacute;es offre un aper&ccedil;u des estimations moyennes et m&eacute;dianes recommand&eacute;es de la VVS au niveau r&eacute;gional et national. Alors que les estimations de la VVS pour les groupes de pays ont &eacute;t&eacute; directement d&eacute;riv&eacute;es des m&eacute;ta-donn&eacute;es, les estimations pour les pays individuels (&agrave; l&rsquo;exception des &Eacute;tats-Unis) ont &eacute;t&eacute; calcul&eacute;es &agrave; partir des estimations des groupes de pays, conform&eacute;ment &agrave; la m&eacute;thodologie pr&eacute;sent&eacute;e dans le chapitre 6 de la publication et dans la <a href="https://www.oecd.org/content/dam/oecd/en/publications/support-materials/2025/10/mortality-risk-valuation-in-policy-assessment_733b9d66/documentation-for-users-ob.pdf">documentation de la base de donn&eacute;es</a>.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><em><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'> </span></em></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Contact:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span><span style="color:black;"><a href="mailto:env.stat@oecd.org"><span style='font-size:14px;font-family:"Helvetica",sans-serif;'>env.stat@oecd.o</span>rg</a></span><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;font-size:11.0pt;font-family:"Aptos",sans-serif;line-height:normal;background:white;'><strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>Date de publication:</span></strong><span style='font-size:14px;font-family:"Helvetica",sans-serif;color:#182026;'>&nbsp;October 2025</span></p> <div style="bottom: 10px; right: 10px; position: absolute;"><a href="https://wordtohtml.net/?utm_source=wth_free_link&utm_medium=external" target="_blank" style="font-size:11px; color: #d0d0d0;">Created with Word to HTML Converter</a> <p><br></p> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN POLLUTANT,MEASURE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2 LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2015,POLLUTANT=SOX,MEASURE=T_EM_MM,UNIT_MEASURE=T DEFAULT UNIT_MEASURE,UNIT_MULT,BASE_PER UNIT_MEASURE_CONCEPTS Air emissions - Air pollutants Inventories Émissions atmosphériques - Inventaires des polluants atmosphériques <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset provides selected information on national emissions of air pollutants: man-made emissions of sulphur oxides (SOx), nitrogen oxides (NOx), particulate matter (PM), carbon monoxide (CO) and volatile organic compounds (VOC). Categories presented are based on the NFR (nomenclature for reporting) 2014 classification. Details of regroupings can be found in the&nbsp;</span><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cb2531-6e8e-4ff2-951a-97d4720a441b"><span style='font-family:"Arial",sans-serif;'>table of correspondence</span></a><span style='font-family:"Arial",sans-serif;'>. Data exclude non man-made emissions and international aviation and maritime transports emissions. For some countries residential mobile emissions (e.g. mowers) are included into &ldquo;Other combustion&rdquo; instead of &ldquo;Other mobile&rdquo;.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (1) The Convention on Long-Range Transboundary Air Pollution (LRTAP Convention), UNECE-EMEP emissions Database, WebDab.&nbsp;</span><a href="https://www.ceip.at/webdab-emission-database"><span style='font-family:"Arial",sans-serif;'>EMEP Official</span></a><span style='font-family:"Arial",sans-serif;'>; (2)&nbsp;</span><a href="https://unfccc.int/reports?f%5B0%5D=document_type%3A4593"><span style='font-family:"Arial",sans-serif;'>Common Reporting Tables CRT </span></a><span style='font-family:"Arial",sans-serif;'>&nbsp; to the United Nations Framework Convention on Climate Change (UNFCCC, CRT tables); (3) Replies to the OECD Questionnaire on the State of the Environment and comments from member countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: August 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/zAIR.pdf"><span style='font-family:"Arial",sans-serif;background:white;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es fournit des informations sur les &eacute;missions anthropiques d&apos;oxydes de soufre (SOx), d&apos;oxydes d&apos;azote (NOx), de particules (PM), de monoxyde de carbone (CO) et de compos&eacute;s organiques volatils (COV). Les cat&eacute;gories sont bas&eacute;es sur la classification NFR (nomenclature for reporting) 2014. Les d&eacute;tails des regroupements se trouvent dans le&nbsp;</span><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=02cb2531-6e8e-4ff2-951a-97d4720a441b"><span style='font-family:"Arial",sans-serif;'>tableau de correspondance</span></a><span style='font-family:"Arial",sans-serif;'>. Les donn&eacute;es excluent les &eacute;missions non li&eacute;es &agrave; l&apos;activit&eacute; humaine et les &eacute;missions de l&apos;aviation internationale et du transport maritime. Pour certains pays, les &eacute;missions mobiles r&eacute;sidentielles (par exemple les tondeuses) sont incluses dans la cat&eacute;gorie &quot;Autres combustions&quot; au lieu de la cat&eacute;gorie &quot;Autres &eacute;missions mobiles&quot;.&nbsp;</span><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (1) Convention sur la pollution atmosph&eacute;rique transfronti&egrave;re &agrave; longue distance (Convention LRTAP), Base de donn&eacute;es des &eacute;missions CEE-ONU-EMEP, WebDab.&nbsp;</span><a href="https://www.ceip.at/webdab-emission-database"><span style='font-family:"Arial",sans-serif;'>EMEP Official</span></a><span style='font-family:"Arial",sans-serif;'>; (2)&nbsp;</span><a href="https://unfccc.int/reports?f%5B0%5D=document_type%3A4593"><span style='font-family:"Arial",sans-serif;'>Common Reporting Tables </span></a><span style='font-family:"Arial",sans-serif;'>&nbsp; &agrave; la Convention-cadre des Nations Unies sur les changements climatiques (CCNUCC, tableaux CRT) ; (3) R&eacute;ponses au questionnaire de l&apos;OCDE sur l&apos;&eacute;tat de l&apos;environnement et commentaires des pays membres.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: ao&ucirc;t 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;color:black;background:white;'><a href="https://webfs-env.oecd.org/files/zAIR.pdf">Documentation de la base de donn&eacute;es</a></span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE,BASE_PER LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN POLLUTANT,MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0,BASE_PER=_Z,PRICE_BASE=_Z,REF_AREA=WXOECD NOT_DISPLAYED TIME_PERIOD_START=2015,POLLUTANT=GHG,MEASURE=_T,UNIT_MEASURE=KG_CO2E_PS DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS POLLUTANT:OECD.ENV.EPI:HCL_POLLUTANT(1.0).H HIER_CONTEXT Air emissions - Greenhouse gas emissions Inventories Émissions atmosphériques - Inventaires des émissions de gaz à effet de serre <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><span style='font-family:"Arial",sans-serif;color:#182026;'>This dataset presents trends in man-made emissions of major greenhouse gases and emissions by gas.&nbsp;</span><span style='font-family:"Arial",sans-serif;color:#182026;'>Data refer to total emissions of CO_2&nbsp;(emissions from energy use and industrial processes, e.g. cement production), CH₄(methane emissions from solid waste, livestock, mining of hard coal and lignite, rice paddies, agriculture and leaks from natural gas pipelines), nitrous oxide (N₂O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulphur hexafluoride (SF₆) and nitrogen trifluoride (NF₃). Data exclude indirect CO₂. For UNCCCC Annex I countries, data follow the IPCC 2006 guidelines. Territories&apos; coverage are as those defined in the Kyoto Protocol.&nbsp;</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><br></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><strong><span style='font-family:"Arial",sans-serif;color:black;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;color:black;'>:</span><span style='font-family:"Arial",sans-serif;color:black;'>&nbsp;</span><span style="color:black;"><a href="https://unfccc.int/ghg-inventories-annex-i-parties/2026"><span style='font-family:"Arial",sans-serif;'>National Inventory Submissions 2026</span></a></span><span style='font-family:"Arial",sans-serif;color:#182026;'>&nbsp;to the United Nations Framework Convention on Climate Change (UNFCCC, CRT tables), available <a href="https://unfccc.int/reports?f%5B0%5D=document_type%3A4593" style="color:#182026; text-decoration:underline;">here</a>.</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><span style='font-family:"Arial",sans-serif;color:#182026;'>Data for Indonesia, Israel and Korea were derived from Annual Quality Assurance (AQA) questionnaires submitted to the OECD.</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;background:white;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: July 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/zGHG.pdf"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;background:white;'><span style='font-size:15px;font-family:"Arial",sans-serif;color:#182026;'>Cette base de donn&eacute;es pr&eacute;sente les tendances des &eacute;missions anthropiques des principaux gaz &agrave; effet de serre et les &eacute;missions par gaz.&nbsp;</span><span style='font-size:15px;font-family:"Arial",sans-serif;color:#182026;'>Les donn&eacute;es concernent les &eacute;missions totales de CO₂ (&eacute;missions provenant de l&apos;utilisation de l&apos;&eacute;nergie et des proc&eacute;d&eacute;s industriels, <em><span style='font-family:"Arial",sans-serif;'>par exemple</span></em> production du ciment), de CH₄ (&eacute;missions de m&eacute;thane provenant des d&eacute;chets solides, du b&eacute;tail, de l&apos;exploitation mini&egrave;re de charbon et de lignite, des rizi&egrave;res, et des fuites des conduites de gaz naturel), d&apos;oxyde nitreux (N₂O), d&apos;hydrofluorocarbures (HFC), d&apos;hydrocarbures perfluor&eacute;s (PFC), d&apos;hexafluorure de soufre (SF₆) et le trifluorure d&apos;azote (NF₃). Les donn&eacute;es excluent le CO₂ indirect. Pour les pays Annexe I &agrave; la CCNUCC les donn&eacute;es suivent les lignes directrices du 2006 du GIEC. Les couvertures territoriales sont celles d&eacute;finies dans le Protocol de Kyoto.</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;background:white;'><br></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><strong><span style='font-family:"Arial",sans-serif;color:#182026;'>Source(s) de donn&eacute;es utilis&eacute;e(s)</span></strong><span style='font-family:"Arial",sans-serif;color:#182026;'>:&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="https://unfccc.int/ghg-inventories-annex-i-parties/2026">Soumission des inventaires nationaux 2026</a></span><span style='font-family:"Arial",sans-serif;color:#182026;'>&nbsp;&agrave; la <em><span style='font-family:"Arial",sans-serif;'>Convention-cadre des Nations Unies sur les changements climatiques</span></em> (<span style='font-family:"Arial",sans-serif;'>CCNUCC</span>, tableaux CRT), disponible <a href="https://unfccc.int/reports?f%5B0%5D=document_type%3A4593" style="color:#182026; text-decoration:underline;">ici</a>.</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;background:white;'><span style='font-family:"Arial",sans-serif;color:#182026;'>Les donn&eacute;es relatives &agrave; l&apos;Indon&eacute;sie, &agrave; Isra&euml;l et &agrave; la Cor&eacute;e ont &eacute;t&eacute; tir&eacute;es des rapports annuels d&apos;assurance qualit&eacute; (AQA) et des questionnaires AQA soumis &agrave; l&apos;OCDE.</span></p><p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></span><span style='font-family:"Arial",sans-serif;'>&nbsp;&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin-right:0cm;margin-left:0cm;font-size:15px;font-family:"Times New Roman",serif;margin:0cm;text-align:justify;'><strong><sp NonProductionDataflow true FREQ=A,OBS_STATUS=A,UNIT_MULT=0,ISO NOT_DISPLAYED MEASURE=MEAN_POP,TIME_PERIOD_START=1990,TIME_PERIOD_END=2030,REF_AREA=AUT+AUS+BEL+CAN+CHL+COL+CRI+CZE+DNK+EST+FIN+FRA+DEU+GRC+HUN+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+LUX+MEX+NLD+NZL+NOR+POL+PRT+SVK+SVN+ESP+SWE+CHE+TUR+GBR+USA+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+G7+G20+EA20+EU27_2020+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC+W+A9 DEFAULT Exposure to air pollution Exposition à la pollution de l'air The exposure to air pollution dataset is a global assessment of air pollution data to monitor population exposure to three key air pollutants, i.e. fine particulate matter (PM2.5), ozone (O3) and nitrogen dioxide (NO2). By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable and yearly indicators with a long time series from 1990 to 2020. Please see the 2016 <a href="https://doi.org/10.1787/5jlsqs8g1t9r-en">working paper</a> for a more complete description of the methods. A forthcoming working paper reviewing current data sources and updating methods is scheduled for to be released in 2024. <br></br>The dataset has a global coverage on the national level, while on the subnational TL2 level (i.e. large subnational regions), results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. <br></br><b>Data source(s)</b>: <a href="https://doi.org/10.1021/acs.est.5b03709">Global Burden of Disease</a> air pollutant data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population data. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Database documentation L'ensemble de données sur l'exposition à la pollution de l'air est une évaluation mondiale des données sur la pollution de l'air visant à surveiller l'exposition de la population à trois polluants de l'air clés, à savoir les particules fines (PM2.5), l'ozone (O3) et le dioxyde d'azote (NO₂). En utilisant des données géospatiales à haute résolution spatio-temporelle, il développe un ensemble d'indicateurs annuels comparables au niveau international avec une longue série temporelle de 1990 à 2020. Veuillez consulter le <a href="https://doi.org/10.1787/5jlsqs8g1t9r-en">document de travail</a> de 2016 pour une description plus complète des méthodes. Un prochain document de travail passant en revue les sources de données actuelles et les méthodes de mise à jour devrait être publié en 2024. <br></br>L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques, pays d'Amérique latine et monde. <br></br><b>Source(s) de données</b>: <a href="https://doi.org/10.1021/acs.est.5b03709">Global Burden of Disease</a> données sur les polluants de l'air et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2018,MEASURE=POL_STRINGENCY,CLIM_ACT_POL=LEV1_SEC+LEV2_SEC_E_MBI+LEV3_ETS_E+LEV4_ETS_E_PR+LEV4_ETS_E_GHG+LEV3_CARBONTAX_E+LEV3_FFS_E+LEV3_EXCISETAX_E+LEV3_FIT+LEV3_AUCTION+LEV3_RECS+LEV2_SEC_E_NMBI+LEV2_SEC_I_MBI+LEV2_SEC_I_NMBI+LEV2_SEC_B_MBI+LEV2_SEC_B_NMBI+LEV2_SEC_T_MBI+LEV2_SEC_T_NMBI+LEV1_CROSS_SEC+LEV1_INT,UNIT_MEASURE=0_TO_10+PL DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Climate actions and policies measurement framework Cadre de mesure des actions et politiques climatiques <p style="text-align: start;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 14px;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=447525d8-ef1f-411b-98ad-56a68d25b99f" target='\""''>Database documentation</a></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">The OECD Climate Actions and Policies Measurement Framework (CAPMF) is the most extensive internationally harmonised climate mitigation policy database to date. Developed under the International Programme for Action on Climate, the CAPMF tracks 130 policy variables, aggregated into 56 key climate actions and policies for the 1990-2023 period for OECD and OECD partner countries as well as the European Union as a block. The current edition of the database covers 50 countries.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Calibri",sans-serif;color:#182026;background:white;'>For each policy, the CAPMF measures policy stringency, defined as the degree to which policies incentivise emissions reductions. The dataset provides the stringency values for all 130 policy variables as well as the average stringency values of the 56 aggregated climate policies for all countries and the entire time-period. It also calculates the average stringency and the number of adopted policies for sectors or policy areas (e.g. electricity, GHG emissions targets) and building block (e.g. sectoral policies, cross-sectoral policies, international policies), following the structure of the CAPMF as laid out in the&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd-ilibrary.org/environment/the-climate-actions-and-policies-measurement-framework_2caa60ce-en"><span style="background:white;">related working paper</span></a>. The structure of the CAPMF can be downloaded&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">here</span></a>.</span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">In some cases the CAPMF also uses a different policy classification according to market-based instruments, non market-based instruments, and climate targets, governance and climate data (see&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">here</span></a> for a correspondence table). </p> </span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">To find out more about the International Programme for Action on Climate (IPAC), please visit the&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd.org/en/about/programmes/international-programme-for-action-on-climate.html"><span style="background:white;">IPAC webpage</span></a>. </p> <p style="text-align: start;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 14px;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=447525d8-ef1f-411b-98ad-56a68d25b99f" target='\""''>Documentation de la base de données</a></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">Le cadre de mesure des actions et politiques climatiques de l'OCDE (CAPMF) est la base de données sur les politiques d'atténuation du changement climatique la plus complète et la plus harmonisée au niveau international à ce jour. Développé dans le cadre du Programme international d'action sur le climat, le CAPMF suit 130 variables politiques, regroupées en 56 actions et politiques climatiques clés pour la période 1990-2023 pour les pays de l'OCDE et les pays partenaires de l'OCDE, ainsi que pour l'Union européenne dans son ensemble. L'édition actuelle de la base de données couvre 50 pays.</p> <p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Calibri",sans-serif;color:#182026;background:white;'>Pour chaque politique, le CAPMF mesure la rigueur de la politique, définie comme le degré d'incitation des politiques à réduire les émissions. Les ensembles de données fournissent les valeurs de rigueur pour les 130 variables politiques ainsi que les valeurs moyennes de rigueur des 56 politiques climatiques agrégées pour tous les pays et pour l'ensemble de la période. Il calcule également la rigueur moyenne et le nombre de politiques adoptées pour les secteurs ou les domaines politiques (par exemple, l'électricité, les objectifs d'émissions de GES) et les éléments constitutifs (par exemple, les politiques sectorielles, les politiques intersectorielles, les politiques internationales), en suivant la structure du CAPMF telle qu'elle est présentée dans the&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd-ilibrary.org/environment/the-climate-actions-and-policies-measurement-framework_2caa60ce-en"><span style="background:white;">le document de travail connexe</span></a>. La structure du CAPMF peut être téléchargée&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">ici</span></a>.</span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">Dans certains cas, le CAPMF utilise également une classification différente selon les instruments basés sur le marché, les instruments non basés sur le marché, les objectifs climatiques, la gouvernance et les données climatiques (voir&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=dc2f3a08-68c4-4f96-9fd9-b2a3da60e6cd"><span style="background:white;">ici</span></a> pour un tableau de correspondance). </p></span></p><p style='margin:0cm;font-size:15px;font-family:"Calibri",sans-serif;'><span style="color:#182026;background:white;">Pour en savoir plus sur le Programme d'action international sur le climat (IPAC), veuillez visiter la&nbsp;</span><span style='font-size:15px;font-family:"Calibri",sans-serif;'><a href="https://www.oecd.org/en/about/programmes/international-programme-for-action-on-climate.html"><span style="background:white;">page Web de l'IPAC</span></a>. </p> NonProductionDataflow true REF_AREA,MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD,DECIMALS=2 NOT_DISPLAYED MEASURE=EAMFP_G,TIME_PERIOD_START=2010 DEFAULT Environmentally adjusted multifactor productivity Productivité multifactorielle ajustée des facteurs environnementaux <p><strong>Environmentally adjusted multifactor productivity</strong></p><p>EAMFP growth measures the residual growth in the joint production of both the desirable and the undesirable outputs that cannot be explained by changes in the consumption of factor inputs (including labour, produced capital and natural capital). Therefore, for a given growth of input use, EAMFP increases when GDP increases or when pollution decreases.</p><p>As part of the growth accounting framework underlying the EAMFP indicator, the growth contribution of natural capital and growth adjustment for pollution abatement indicators are derived:</p><p><em>Growth contribution of natural capital&nbsp;</em>- measures to what extent a country's growth in output is attributable to natural resource use;</p><p><em>Growth adjustment for pollution abatement&nbsp;</em>- measures to what extent a country's GDP growth should be corrected for pollution abatement efforts - adding what has been undervalued due to resources being diverted to pollution abatement, or deducing the &lsquo;excess' growth which is generated at the expense of environmental quality.</p><p><em>For further details on the methodology please consult:</em></p><p><em><a href=\"http://www.oecd.org/environment/indicators-modelling-outlooks/greening-productivity-measurement.htm\">oe.cd/eamfp</a></em></p><p><em><a href=\"https://doi.org/10.1787/9096211d-en\">Environmentally adjusted multifactor productivity: Accounting for renewable natural resources and ecosystem services</a></em></p> <p><strong>Productivit&eacute; multifactorielle corrig&eacute;e des incidences environnementales</strong></p><p>La croissance de la productivit&eacute; multifactorielle corrig&eacute;e des incidences environnementales (EAMFP) mesure la croissance r&eacute;siduelle r&eacute;sultant de la production conjointe de produits souhaitables et de produits ind&eacute;sirables&nbsp;; elle correspond &agrave; la part de croissance qui ne peut pas &ecirc;tre expliqu&eacute;e par l'&eacute;volution de la consommation d'intrants (y compris le travail, le capital produit et le capital naturel). Par cons&eacute;quent, pour une croissance donn&eacute;e de l'utilisation des intrants, la productivit&eacute; multifactorielle ajust&eacute;e des incidences environnementales (EAMFP) augmente lorsque le PIB augmente ou que la pollution diminue.</p><p>Le cadre de comptabilit&eacute; de la croissance sur lequel repose l'EAMFP permet d'&eacute;tablir la contribution &agrave; la croissance du capital naturel et l'ajustement de la croissance compte tenu des indicateurs de lutte contre la pollution&nbsp;:</p><p><em>Contribution du capital naturel &agrave; la croissance&nbsp;</em>- indique dans quelle mesure la croissance de la production d'un pays est attribuable &agrave; l'utilisation de ressources naturelles&nbsp;;</p><p><em>Ajustement de la croissance au titre de la lutte contre la pollution&nbsp;</em>- indique dans quelle mesure la croissance du PIB d'un pays devrait &ecirc;tre corrig&eacute;e des efforts de lutte contre la pollution - en ajoutant la part sous-&eacute;valu&eacute;e correspondant aux ressources consacr&eacute;es &agrave; la lutte contre la pollution, ou en retranchant &laquo;&nbsp;l'exc&egrave;s&nbsp;&raquo; de croissance g&eacute;n&eacute;r&eacute; au d&eacute;triment de la qualit&eacute; de l'environnement.</p><p><em>Pour plus de d&eacute;tails sur la m&eacute;thodologie, voir&nbsp;:</em></p><p><em><a href="http://www.oecd.org/environment/indicators-modelling-outlooks/greening-productivity-measurement.htm">oe.cd/eamfp</a></em></p><p><em><a href="https://doi.org/10.1787/9096211d-en">Environmentally adjusted multifactor productivity: Accounting for renewable natural resources and ecosystem services</a></em></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=CF_POP_EXP,RET_PERIOD=Y_10,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Coastal flooding exposure Exposition aux inondations côtières The dataset provides a global assessment of land, population, built-up area and cropland exposure to coastal flooding for different return periods. Exposure indicators to coastal flooding have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The dataset spans the period 2000-2020 depending on data availability and is based on coastal flood hazard maps with a 10-, 25-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. The dataset has a global geographic coverage on the national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://doi.org/10.1038/ncomms11969">Global coastal flood hazard map</a> data, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble des données fournit une évaluation globale de l'exposition des terres, de la population, des zones bâties et des terres cultivées aux inondations côtières pour différentes périodes de retour. Les indicateurs d'exposition aux inondations côtières ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les données couvrent la période 2000-2020 en fonction de la disponibilité et sont basées sur des cartes de risques d'inondation côtière avec une période de retour de 10, 25, 50 et 100 ans. Une période de retour est la durée moyenne ou estimée pendant laquelle un risque spécifique est susceptible de se reproduire. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>Source(s) de données</b>: <a href="https://doi.org/10.1038/ncomms11969">Données</a> cartographiques mondiales sur les risques d'inondation côtière, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=ED_CROP_ANOM,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to drought Exposition à la sécheresse The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 1981-2022 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> monthly soil moisture data (ERA5).<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit des anomalies annuelles dans la teneur en eau du sol et de la couche supérieure des terres cultivées par rapport à la période de référence 1981-2010. Les indicateurs d'exposition à la sécheresse ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 1981-2022 et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données mensuelles moyennes ERA5-Land de l'humidité volumétrique du sol et les données de l'ESA CCI sur la couverture des sols. Des anomalies moyennes ont été calculées pour l'exposition à la sécheresse des terres et des cultures. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur l'humidité du sol (ERA5).<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=ED_CROP_ANOM,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Historical exposure to drought Exposition historique à la sécheresse The dataset provides annual anomalies in land and cropland soil moisture content of the top soil layer (0 to 7 cm) compared to the reference period 1981-2010. Exposure indicators to drought have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The datasets span the period 1981-2024 and is the result of the use of a variety of geospatial data sources, including the ERA5-Land averaged monthly data of volumetric soil moisture and ESA CCI land cover data. Average anomalies have been calculated for both land and cropland exposure to drought. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> monthly soil moisture data based on the <a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR?hl=fr">ERA5-Land reanalysis</a> dataset.<br> <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit des anomalies annuelles dans la teneur en eau du sol et de la couche supérieure des terres cultivées (0 à 7 cm) par rapport à la période de référence 1981-2010. Les indicateurs d'exposition à la sécheresse ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les données couvrent la période 1981-2024 et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données mensuelles moyennes ERA5-Land de l'humidité volumétrique du sol et les données de l'ESA CCI sur la couverture des sols. Des anomalies moyennes ont été calculées pour l'exposition à la sécheresse des terres et des cultures. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>Source(s) de données</b>: <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur l'humidité du sol (<a href="https://developers.google.com/earth-engine/datasets/catalog/ECMWF_ERA5_LAND_DAILY_AGGR?hl=fr">ERA5-Land reanalysis</a>). <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=SPEI_CROP_EXP,CLIMATE_SCENARIO=SSP119+SSP126+SSP245+SSP370+SSP585,STATISTICAL_OPERATION=MEDIAN,ANOMALY=ANO,TIME_PERIOD_START=2010,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Projected exposure to drought Exposition projetée à la sécheresse The dataset provides a global assessment of projected changes of drought using the Standardised Precipitation Evapotranspiration Index (SPEI) across four climate scenarios (SSP 1-1.9 is currently not available for the SPEI). The SPEI presented here is a measure of integrated water deficit in a given area for the preceding 12 months and includes temperature-dependent evapotranspiration data. The SPEI over a 12 month period enables identifying long-term drought, where values between -1 and 1 are typically considered as normal conditions. A SPEI value between -1 and -1.5 indicates moderately dry, between -1.5 and -2 severely and lower than -2 extremely dry conditions. Please see the <a href="https://doi.org/10.1787/b9ba6ee0-en">working paper</a> for a more complete description of the methods. <br><br>The dataset also provides a global assessments of projected changes of drought using the maximum number of consecutive dry days and enables analysing short-term drought across five climate scenarios. This index is relevant for biodiversity, agriculture, forest and water management. In the context of agriculture, it is often used as a proxy for a lack of rainfall during a short period of time, which can quickly lead to dry conditions and thus it can help agricultural managers understand critical conditions. <br><br>The dataset spans the period 2015-2100 and provides anomaly estimates for the future time periods of 2020-2039, 2040-2059, 2060-2079 and 2080-2099, which are typically referred to by their midpoints as the 2030s, 2050s, 2070s and 2090s. The available climate scenarios include four Tier-1 Shared Socioeconomic Pathways (SSPs) that range from low to very high-emissions scenarios (i.e. SSP 1-2.6 [low], SSP 2-4.5 [intermediate], SSP 3-7.0 [high] and SSP 5-8.5 [very high]) and an additional very low-emissions scenario (i.e. Tier-2 SSP 1-1.9). <br><br>The dataset has a global coverage on a national level. On the sub-national OECD TL2 level, results are reported for all OECD countries as well as Serbia, North Macedonia, Bulgaria, Croatia, Albania, Romania, Liechtenstein, Montenegro, Cyprus, Malta, Peru, Brazil, Argentina, Russia, India, Guatemala, South Africa, Tunisia, Indonesia and China. On the sub-national OECD TL3 level, results are reported for all OECD countries as well as Montenegro, Croatia, Bulgaria, Albania, Romania, Cyprus, North Macedonia, Liechtenstein, Malta and Serbia. A number of aggregates are further included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: The indicator methodology and the underlying data sources are discussed in the OECD working paper <a href="https://doi.org/10.1787/b9ba6ee0-en">Maes et al. (2025)</a>. The primary data sources include projected drought data from the <a href="https://climateknowledgeportal.worldbank.org/">Climate Change Knowledge Portal</a> and cropland extent data from the European Space Agency <a href="https://www.esa-landcover-cci.org/">Climate Change Initiative</a>. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une évaluation mondiale des changements projetés de la sécheresse en utilisant le SPEI (Standardised Precipitation Evapotranspiration Index) à travers quatre scénarios climatiques (actuellement, le SSP 1-1.9 n'est pas disponible pour le SPEI). Le SPEI présenté ici est une mesure du déficit intégré en eau dans une zone donnée pour les 12 mois précédents, et inclut des données d'évapotranspiration dépendantes de la température. Le SPEI sur une période de 12 mois permet d'identifier les sécheresses à long terme, où les valeurs entre -1 et 1 sont généralement considérées comme des conditions normales. Une valeur SPEI entre -1 et -1.5 indique des conditions modérément sèches, entre -1.5 et -2 sévèrement sèches et inférieure à -2 extrêmement sèches. Veuillez consulter le <a href="https://doi.org/10.1787/b9ba6ee0-en">document de travail</a> pour une description plus complète des méthodes. <br><br>L'ensemble de données fournit également une évaluation mondiale des changements projetés de la sécheresse en utilisant le nombre maximal de jours secs consécutifs et permet d'analyser la sécheresse à court terme à travers cinq scénarios climatiques. Cet indice est pertinent pour la biodiversité, l'agriculture, la gestion forestière et la gestion de l'eau. Dans le contexte de l'agriculture, il est souvent utilisé comme un indicateur de la pénurie de pluie sur une courte période, ce qui peut rapidement conduire à des conditions sèches et aider les gestionnaires agricoles à comprendre les conditions critiques. <br><br>L'ensemble de données couvre la période 2015-2100 et fournit des estimations d'anomalies pour les périodes futures de 2020-2039, 2040-2059, 2060-2079 et 2080-2099, qui sont généralement désignées par leurs points médians comme les années 2030, 2050, 2070 et 2090. Les scénarios climatiques disponibles incluent quatre scénarios socioéconomiques (SSP – Shared Socioeconomic Pathways) de Tier-1 qui vont des scénarios à faibles émissions aux scénarios à émissions très élevées (SSP 1-2.6 [faible], SSP 2-4.5 [intermédiaire], SSP 3-7.0 [élevé] et SSP 5-8.5 [très élevé]) et un scénario socioéconomique supplémentaire de Tier-2 à très faibles émissions (SSP 1-1.9 [très faible]). <br><br>L'ensemble de données a une couverture mondiale au niveau national. Au niveau sous-national OECD TL2, les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour la Serbie, la Macédoine du Nord, la Bulgarie, la Croatie, l'Albanie, la Roumanie, le Liechtenstein, le Monténégro, Chypre, Malte, le Pérou, le Brésil, l'Argentine, la Russie, l'Inde, le Guatemala, l'Afrique du Sud, la Tunisie, l'Indonésie et la Chine. Au niveau sous-national OECD TL3, les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour le Monténégro, la Croatie, la Bulgarie, l'Albanie, la Roumanie, Chypre, la Macédoine du Nord, le Liechtenstein, Malte et la Serbie. Un certain nombre d'agrégats sont également inclus : la zone euro, l'Union européenne, les économies avancées, les économies de marché émergentes, le G7, le G20, l'OCDE, l'OCDE Europe, l'OCDE Asie-Océanie, l'OCDE Amériques et la région ALC. <br><br><b>Source(s) de données</b>: Données projetées de sécheresse du <a href="https://climateknowledgeportal.worldbank.org/">Climate Change Knowledge Portal</a> et <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols de l'Agence spatiale européenne. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=99PT_LAND_EXP,DURATION=W1T2,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to extreme precipitation Exposition à des précipitations extrêmes The dataset provides a global assessment of changes in average precipitation by providing the precipitation anomaly and provides a global assessment of extreme precipitation through the use of two precipitation indices, i.e. very heavy precipitation days and frequency of extreme precipitation events. Exposure indicators to extreme precipitation have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The datasets span the period 1979-2022, depending on data availability and are the result of the use of a variety of geospatial data sources as referenced in the Working Paper. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> precipitation data (ERA5) and <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit une évaluation globale des changements dans les précipitations moyennes en fournissant l'anomalie des précipitations et une évaluation globale des précipitations extrêmes en utilisant deux indices de précipitations, à savoir les jours de très fortes précipitations et la fréquence des événements de précipitations extrêmes. Les indicateurs d'exposition aux précipitations extrêmes ont été préparés conjointement par l'Organisation de coopération et de développement économiques (OCDE) et l'Agence internationale de l'énergie (AIE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>Les données couvrent la période 1979-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales telles que référencées dans le document de travail. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur les précipitations (ERA5) et <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=99PT_LAND_EXP,DURATION=W1T2,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Historical exposure to extreme precipitation Exposition historique à des précipitations extrêmes The dataset provides a global assessment of changes in average precipitation by providing the precipitation anomaly and provides a global assessment of extreme precipitation through the use of two precipitation indices, i.e. very heavy precipitation days and frequency of extreme precipitation events. Exposure indicators to extreme precipitation have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The datasets span the period 1979-2024, depending on data availability and are the result of the use of a variety of geospatial data sources as referenced in the Working Paper. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> precipitation data (ERA5) and <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une évaluation globale des changements dans les précipitations moyennes en fournissant l'anomalie des précipitations et une évaluation globale des précipitations extrêmes en utilisant deux indices de précipitations, à savoir les jours de très fortes précipitations et la fréquence des événements de précipitations extrêmes. Les indicateurs d'exposition aux précipitations extrêmes ont été préparés conjointement par l'Organisation de coopération et de développement économiques (OCDE) et l'Agence internationale de l'énergie (AIE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les données couvrent la période 1979-2024, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales telles que référencées dans le document de travail. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>Source(s) de données</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur les précipitations (ERA5) et <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=R20MM,CLIMATE_SCENARIO=SSP119+SSP126+SSP245+SSP370+SSP585,STATISTICAL_OPERATION=MEDIAN,ANOMALY=ANO,TIME_PERIOD_START=2010,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Projected exposure to extreme precipitation Exposition projetée à des précipitations extrêmes The dataset provides a global assessment of projected changes in average precipitation by providing forward-looking indicators on cumulative precipitation across five climate scenarios. The dataset also provides a global assessment of projected changes to extreme precipitation using a variety of climate indices such as very heavy precipitation days, average largest 1-day precipitation and the average largest 5-day cumulative precipitation. Please see the <a href="https://doi.org/10.1787/b9ba6ee0-en">working paper</a> for a more complete description of the methods. <br><br>The dataset spans the period 2015-2100 and provides anomaly estimates for the future time periods of 2020-2039, 2040-2059, 2060-2079 and 2080-2099, which are typically referred to by their midpoints as the 2030s, 2050s, 2070s and 2090s. The available climate scenarios include four Tier-1 Shared Socioeconomic Pathways (SSPs) that range from low to very high-emissions scenarios (i.e. SSP 1-2.6 [low], SSP 2-4.5 [intermediate], SSP 3-7.0 [high] and SSP 5-8.5 [very high]) and an additional very low-emissions scenario (i.e. Tier-2 SSP 1-1.9). <br><br>The dataset has a global coverage on a national level. On the sub-national OECD TL2 level, results are reported for all OECD countries as well as Serbia, North Macedonia, Bulgaria, Croatia, Albania, Romania, Liechtenstein, Montenegro, Cyprus, Malta, Peru, Brazil, Argentina, Russia, India, Guatemala, South Africa, Tunisia, Indonesia and China. On the sub-national OECD TL3 level, results are reported for all OECD countries as well as Montenegro, Croatia, Bulgaria, Albania, Romania, Cyprus, North Macedonia, Liechtenstein, Malta and Serbia. A number of aggregates are further included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: The indicator methodology and the underlying data sources are discussed in the OECD working paper <a href="https://doi.org/10.1787/b9ba6ee0-en">Maes et al. (2025)</a>. The primary data sources include projected precipitation data from the <a href="https://climateknowledgeportal.worldbank.org/">Climate Change Knowledge Portal</a>. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une évaluation mondiale des changements projetés des précipitations moyennes en fournissant des indicateurs prospectifs sur les précipitations cumulées à travers cinq scénarios climatiques. Le jeu de données fournit également une évaluation mondiale des changements projetés des précipitations extrêmes grâce à l'utilisation de divers indices climatiques tels que les jours de très fortes précipitations, les précipitations moyennes les plus importantes sur un jour et les précipitations moyennes les plus importantes sur cinq jours. Veuillez consulter le <a href="https://doi.org/10.1787/b9ba6ee0-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>L'ensemble de données couvre la période 2015-2100 et fournit des estimations d'anomalies pour les périodes futures de 2020-2039, 2040-2059, 2060-2079 et 2080-2099, qui sont généralement désignées par leurs points médians comme les années 2030, 2050, 2070 et 2090. Les scénarios climatiques disponibles incluent quatre scénarios socioéconomiques (SSP – Shared Socioeconomic Pathways) de Tier-1 qui vont des scénarios à faibles émissions aux scénarios à émissions très élevées (SSP 1-2.6 [faible], SSP 2-4.5 [intermédiaire], SSP 3-7.0 [élevé] et SSP 5-8.5 [très élevé]) et un scénario socioéconomique supplémentaire de Tier-2 à très faibles émissions (SSP 1-1.9 [très faible]). <br><br>L'ensemble de données a une couverture mondiale au niveau national. Au niveau sous-national OECD TL2, les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour la Serbie, la Macédoine du Nord, la Bulgarie, la Croatie, l'Albanie, la Roumanie, le Liechtenstein, le Monténégro, Chypre, Malte, le Pérou, le Brésil, l'Argentine, la Russie, l'Inde, le Guatemala, l'Afrique du Sud, la Tunisie, l'Indonésie et la Chine. Au niveau sous-national OECD TL3, les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour le Monténégro, la Croatie, la Bulgarie, l'Albanie, la Roumanie, Chypre, la Macédoine du Nord, le Liechtenstein, Malte et la Serbie. Un certain nombre d'agrégats sont également inclus : la zone euro, l'Union européenne, les économies avancées, les économies de marché émergentes, le G7, le G20, l'OCDE, l'OCDE Europe, l'OCDE Asie-Océanie, l'OCDE Amériques et la région ALC. <br><br><b>Source(s) de données</b>: Données projetées sur les précipitations du <a href="https://climateknowledgeportal.worldbank.org/">Climate Change Knowledge Portal</a>. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=HD_POP_EXP,DURATION=W_LT_2,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS 10000 MAX_TABLE_DATA Exposure to extreme temperature Exposition à des températures extrêmes The dataset provides a global assessment of changes in average temperature by providing the temperature anomaly, days with above-average temperatures and days with below-average temperatures. Exposure indicators to extreme temperature have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods.<br><br>The dataset also provides a global assessment of extreme temperatures through the use of a variety of climate indices, including hot days, tropical nights, the Universal Thermal Climate Index and icing days. The datasets span the period 1979-2022, depending on data availability and are the result of the use of a variety of geospatial data sources. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region.<br><br><b>Data source(s)</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> temperature data (ERA5) and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Database documentation Cet ensemble de données fournit une évaluation globale des changements de la température moyenne en fournissant l'anomalie de température, les jours avec des températures supérieures à la moyenne et les jours avec des températures inférieures à la moyenne. Les indicateurs d'exposition aux températures extrêmes ont été préparés conjointement par l'Organisation de coopération et de développement économiques (OCDE) et l'Agence internationale de l'énergie (AIE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées.<br><br>L'ensemble de données fournit également une évaluation globale des températures extrêmes grâce à l'utilisation d'une variété d'indices climatiques, y compris les jours chauds, les nuits tropicales, l'indice thermo climatique universel et les jours de gel. Les données couvrent la période 1979-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC.<br><br><b>Source(s) de données</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données de température (ERA5) et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=HD_POP_EXP,DURATION=W_LT_2,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Historical exposure to extreme temperature Exposition historique à des températures extrêmes The dataset provides a global assessment of changes in average temperature by providing the temperature anomaly, days with above-average temperatures and days with below-average temperatures. The dataset also provides a global assessment of extreme temperatures through the use of a variety of climate indices, including hot days, tropical nights, the Universal Thermal Climate Index and icing days. Exposure indicators to extreme temperature have been prepared jointly by the Organisation for Economic Co-operation and Development (OECD) and the International Energy Agency (IEA). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The datasets span the period 1979-2024, depending on data availability and are the result of the use of a variety of geospatial data sources. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> temperature data (ERA5) and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data.<br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une évaluation globale des changements de la température moyenne en fournissant l'anomalie de température, les jours avec des températures supérieures à la moyenne et les jours avec des températures inférieures à la moyenne. L'ensemble de données fournit également une évaluation globale des températures extrêmes grâce à l'utilisation d'une variété d'indices climatiques, y compris les jours chauds, les nuits tropicales, l'indice thermo climatique universel et les jours de gel. Les indicateurs d'exposition aux températures extrêmes ont été préparés conjointement par l'Organisation de coopération et de développement économiques (OCDE) et l'Agence internationale de l'énergie (AIE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les données couvrent la période 1979-2024, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>Source(s) de données</b>: <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données de température (ERA5) et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED MEASURE=HD_PW_EXP,CLIMATE_SCENARIO=SSP119+SSP126+SSP245+SSP370+SSP585,TEMP_THRESHOLD=H_35,STATISTICAL_OPERATION=MEDIAN,ANOMALY=ANO,TIME_PERIOD_START=2010,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Projected exposure to extreme temperature Exposition projetée à des températures extrêmes The dataset provides a global assessment of projected changes in average temperature by providing forward-looking indicators on average near-surface temperature across five climate scenarios. The dataset also provides a global assessment of projected changes to extreme temperature using a variety of climate indices such as hot days, tropical nights, icing days, heating degree days and cooling degree days. For indicators on hot days and tropical nights, the dataset provides the option to select between three different temperature thresholds (i.e. for hot days Tmax > 30°C, Tmax > 35°C and Tmax > 40°C, while for tropical nights Tmin > 20°C, Tmin > 26°C and Tmin > 32°C). Furthermore, a variety of population and livestock exposure indicators are available for a subset of hazards. Please see the <a href="https://doi.org/10.1787/b9ba6ee0-en">working paper</a> for a more complete description of the methods. <br><br>The dataset spans the period 2015-2100 and provides anomaly estimates for the future time periods of 2020-2039, 2040-2059, 2060-2079 and 2080-2099, which are typically referred to by their midpoints as the 2030s, 2050s, 2070s and 2090s. The available climate scenarios include four Tier-1 Shared Socioeconomic Pathways (SSPs) that range from low to very high-emissions scenarios (i.e. SSP 1-2.6 [low], SSP 2-4.5 [intermediate], SSP 3-7.0 [high] and SSP 5-8.5 [very high]) and an additional Tier-2 very low-emissions scenario (i.e. SSP 1-1.9 [very low]). <br><br>The dataset has a global coverage on a national level. On the sub-national OECD TL2 level, results are reported for all OECD countries as well as Serbia, North Macedonia, Bulgaria, Croatia, Albania, Romania, Liechtenstein, Montenegro, Cyprus, Malta, Peru, Brazil, Argentina, Russia, India, Guatemala, South Africa, Tunisia, Indonesia and China. On the sub-national OECD TL3 level, results are reported for all OECD countries as well as Montenegro, Croatia, Bulgaria, Albania, Romania, Cyprus, North Macedonia, Liechtenstein, Malta and Serbia. A number of aggregates are further included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: The indicator methodology and the underlying data sources are discussed in the OECD working paper <a href="https://doi.org/10.1787/b9ba6ee0-en">Maes et al. (2025)</a>. The primary data sources include projected temperature data from the <a href="https://climateknowledgeportal.worldbank.org/">Climate Change Knowledge Portal</a>, gridded population data from the<a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> and FAO gridded data on <a href="https://www.fao.org/livestock-systems/global-distributions/en/">global livestock distributions</a>. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une évaluation mondiale des changements projetés de la température moyenne en fournissant des indicateurs prospectifs sur la température moyenne près de la surface à travers cinq scénarios climatiques. Le jeu de données fournit également une évaluation mondiale des changements projetés des températures extrêmes à travers l'utilisation de divers indices climatiques tels que les jours chauds, les nuits tropicales, les jours de gel, les degrés-jours de chauffage et les degrés-jours de refroidissement. Pour les indicateurs sur les jours chauds et les nuits tropicales, le jeu de données offre la possibilité de choisir entre trois seuils de température différents (par exemple, pour les jours chauds, Tmax > 30°C, Tmax > 35°C et Tmax > 40°C, tandis que pour les nuits tropicales, Tmin > 20°C, Tmin > 26°C et Tmin > 32°C). De plus, une variété d'indicateurs d'exposition de la population et du bétail sont disponibles pour un sous-ensemble de dangers. Veuillez consulter le <a href="https://doi.org/10.1787/b9ba6ee0-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>L'ensemble de données couvre la période 2015-2100 et fournit des estimations d'anomalies pour les périodes futures de 2020-2039, 2040-2059, 2060-2079 et 2080-2099, qui sont généralement désignées par leurs points médians comme les années 2030, 2050, 2070 et 2090. Les scénarios climatiques disponibles incluent quatre scénarios socioéconomiques (SSP – Shared Socioeconomic Pathways) de Tier-1 qui vont des scénarios à faibles émissions aux scénarios à émissions très élevées (SSP 1-2.6 [faible], SSP 2-4.5 [intermédiaire], SSP 3-7.0 [élevé] et SSP 5-8.5 [très élevé]) et un scénario socioéconomique supplémentaire de Tier-2 à très faibles émissions (SSP 1-1.9 [très faible]). <br><br>L'ensemble de données a une couverture mondiale au niveau national. Au niveau sous-national OECD TL2, les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour la Serbie, la Macédoine du Nord, la Bulgarie, la Croatie, l'Albanie, la Roumanie, le Liechtenstein, le Monténégro, Chypre, Malte, le Pérou, le Brésil, l'Argentine, la Russie, l'Inde, le Guatemala, l'Afrique du Sud, la Tunisie, l'Indonésie et la Chine. Au niveau sous-national OECD TL3, les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour le Monténégro, la Croatie, la Bulgarie, l'Albanie, la Roumanie, Chypre, la Macédoine du Nord, le Liechtenstein, Malte et la Serbie. Un certain nombre d'agrégats sont également inclus : la zone euro, l'Union européenne, les économies avancées, les économies de marché émergentes, le G7, le G20, l'OCDE, l'OCDE Europe, l'OCDE Asie-Océanie, l'OCDE Amériques et la région ALC. <br><br><b>Source(s) de données</b>: Données projetées de température du <a href="https://climateknowledgeportal.worldbank.org/">Climate Change Knowledge Portal</a>, <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population et données géospatiales de la FAO sur les <a href="https://www.fao.org/livestock-systems/global-distributions/en/">distributions mondiales de bétail</a>. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=FT_FORE_EXP,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Wildfire exposure Exposition au feu The dataset provides a global assessment of burned area, and forest and population exposure to wildfire danger. Exposure indicators to wildfire have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The datasets span the period 2000-2024, depending on data availability and are the result of the use of a variety of geospatial data sources, including data from the Global Wildfire Information System, ESA CCI land cover data and Global Human Settlement Layer population data. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://gwis.jrc.ec.europa.eu/">Global Wildfire Information System</a> burned area data, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble des données fournit une évaluation globale des zones brûlées et de l'exposition des forêts et des populations au risque d'incendie de forêt. Les indicateurs d'exposition au feu ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les données couvrent la période 2000-2024, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données du Global Wildfire Information System, les données de la couverture des sols de l'ESA CCI et les données sur la population (Global Human Settlement Layer). L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>DSource(s) de données</b>: <a href="https://gwis.jrc.ec.europa.eu/">Global Wildfire Information System</a> données sur les zones brûlées, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a><br><br>Documentation de la base de données NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=1990,TIME_PERIOD_END=2050,MEASURE=RF_POP_EXP,RET_PERIOD=Y_10,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA River flooding exposure Exposition aux crues The dataset provides a global assessment of land, population, built-up area and cropland exposure to river flooding for different return periods. Exposure indicators to river flooding have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The datasets span the period 2000-2020 depending on data availability and is based on river flood hazard maps with a 10-, 20-, 50- and 100-year return period. A return period is the average or estimated time that a specific hazard is likely to recur. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://data.jrc.ec.europa.eu/collection/id-0054#datasets">JRC River flood hazard map</a> data, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble des données fournit une évaluation globale de l'exposition des terres, de la population, des zones bâties et des terres cultivées aux inondations fluviales pour différentes périodes de retour. Les indicateurs d'exposition aux crues ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les ensembles de données couvrent la période 2000-2020 en fonction de la disponibilité des données et sont basés sur des cartes de risques d'inondation fluviale avec une période de retour de 10, 20, 50 et 100 ans. Une période de retour est la durée moyenne ou estimée pendant laquelle un risque spécifique est susceptible de se reproduire. L'ensemble des données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>Source(s) de données</b>: <a href="https://data.jrc.ec.europa.eu/collection/id-0054#datasets">JRC</a> données de la carte des risques de crues, <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=W_LAND_EXP,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA19+EU27+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC DEFAULT 10000 MAX_TABLE_DATA Wind threat exposure Exposition aux vents The dataset provides a global assessment of land, population and built-up area exposure to violent storms and cyclone wind threats. Exposure indicators to wind threats have been prepared by the Organisation for Economic Co-operation and Development (OECD). Please see the <a href="https://doi.org/10.1787/da074cb6-en">working paper</a> for a more complete description of the methods. <br><br>The datasets span the period 2000-2024, depending on data availability and are the result of the use of a variety of geospatial data sources, including wind gust data from hourly ERA5 reanalysis data to assess violent storms and GAR2015 cyclone hazard maps to assess exposure to different hurricane intensities. The dataset has a global coverage on a national level; on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. A number of aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and the LAC region. <br><br><b>Data source(s)</b>: <a href="https://data.humdata.org/dataset/cyclone-wind-100-years-return-period">GAR2015</a> cyclone hazard maps, <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> wind gust data (ERA5), <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> population grid data. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une évaluation globale de l'exposition des terres, de la population et des zones bâties aux tempêtes violentes et aux vents cycloniques. Les indicateurs d'exposition aux vents ont été préparés par l'Organisation de coopération et de développement économiques (OCDE). Veuillez consulter le <a href="https://doi.org/10.1787/da074cb6-en">document de travail</a> pour une description plus complète des méthodes utilisées. <br><br>Les données couvrent la période 2000-2022, en fonction de la disponibilité, et sont le résultat de l'utilisation d'une variété de sources de données géospatiales, y compris les données de vent provenant des données de réanalyse horaire ERA5 pour évaluer les tempêtes violentes et les cartes de risques cycloniques GAR2015 pour évaluer l'exposition à différentes intensités d'ouragans. L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et région ALC. <br><br><b>Source(s) de données</b>: <a href="https://data.humdata.org/dataset/cyclone-wind-100-years-return-period">GAR2015</a> cartes des risques cycloniques, <a href="https://cds.climate.copernicus.eu/#!/home">Copernicus Climate Data Store</a> données sur le vent (ERA5), <a href="https://www.esa-landcover-cci.org/">Copernicus Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur la population. <br><br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2020,CEP=CEP_EP,INDUSTRY=_T,SECTOR=S1,MEASURE=NEEP DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS Environmental Protection Expenditure Accounts Comptes de la dépense de protection de l'environnement <p>The Environmental Protection Expenditure Account (EPEA) is a monetary description of environmental protection activities in accordance with the System of Environmental‑economic Accounting (SEEA) central framework. It is coherent with the national and related satellite accounts.</p> <p>Because the full EPEA framework is quite expensive in terms of resources to be set up, this EPEA module significantly simplifies the full framework while it still allows compiling a measure of environmental protection expenditure for the whole economy comparable with national accounts aggregates.</p> <p>This data uses the Classification of Environmental Purposes (CEP), which is a generic, functional classification of economic activities, products, expenditures and other transactions related to environmental protection and management of natural resources. Output of these services can be output of market, non-market and ancillary activities. EPEA is directly linked to the three definitions of GDP, the production measure, the expenditure measure and the income measure of GDP.&nbsp;</p> <p>EPEA covers (1) expenditure on EP products by resident units; (2) expenditure related to the production of EP products, including the gross capital formation, and (3) transactions related to the financing of EP expenditure. It covers both the supply and demand side.</p> <p>Data is expressed in million national currency.</p> <p>For more details see the database documentation below and the Eurostat &ldquo;Environmental protection expenditure accounts handbook&rdquo;: <a href="https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-17-004">https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-17-004</a>&nbsp;</p> <p><strong>Data source(s)</strong>: OECD and Eurostat questionnaires on EPEA.&nbsp;Eurostat sends the questionnaire annually to its member countries, the OECD every two years.</p> <p><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p><strong>Dataset release date</strong>: May 5, 2026</p> <p><span><a href="https://webfs-env.oecd.org/files/EPEA%20database%20documentation.pdf">Database documentation</a></span></p> <p>Les comptes de d&eacute;penses de protection de l&rsquo;environnement (EPEA) est une d&eacute;scription mon&eacute;taire des activit&eacute;s de protection de l&rsquo;environnement, selon le cadre central du syst&egrave;me de comptabilit&eacute; &eacute;conomique et environnementale (SEEA). EPEA est coh&eacute;rent avec les comptes nationaux et les comptes satellites r&eacute;lationn&eacute;s.</p> <p>Puisque le cadre complet d&rsquo;EPEA requiert beaucoup de ressources, le cadre ci-pr&eacute;sent&eacute; le simplifie tout en permettant de compiler une estimation des d&eacute;penses totales d&rsquo;une &eacute;conomie qui soit comparable aux agr&eacute;gats des comptes nationaux.</p> <p>Ces donn&eacute;es utilisent sur la Classification des objectifs environnementaux (CEP), qui est une classification g&eacute;n&eacute;rique et fonctionnelle des activit&eacute;s &eacute;conomiques, des produits, des d&eacute;penses et d&apos;autres transactions li&eacute;es &agrave; la protection de l&apos;environnement et &agrave; la gestion des ressources naturelles. Les produits de ces services peuvent &ecirc;tre marchands, non marchands ou auxiliaires. EPEA est directement li&eacute; aux trois definitions du PIB &ndash; production, d&eacute;penses et revenus.</p> <p>EPEA couvre (1) les d&eacute;penses de PE par les r&eacute;sidents&nbsp;; (2) les d&eacute;penses li&eacute;es &agrave; la production de produits PE, y compris la formation brute de capital fixe, et (3) les transactions li&eacute;es au financement des la d&eacute;pense PE. Il couvre et la d&eacute;mande et&nbsp;l&rsquo;offre.</p> <p>Les donn&eacute;es sont &eacute;xprim&eacute;es en millions, monnaie nationale.</p> <p>Pour plus de details voir la documentation de la base de donn&eacute;es ci-dessous et le Manuel d&rsquo;Eurostat EPEA :&nbsp;</p> <p><a href=""https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-17-004"">https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-17-004</a>&nbsp;</p> <p><strong>Sources des donn&eacute;es&nbsp;</strong>: Les questionnaires EPEA de l&rsquo;OCDE et d&rsquo;Eurostat. Les donn&eacute;es sont collect&eacute;es annuellement par Eurostat et chaque deux ans par l&rsquo;OCDE.</p> <p><strong>Derni&egrave;re mise-&agrave;-jour</strong>: 5 Mai 2026</p> <p><strong>Contact</strong>: <a href=""mailto:ENV.Stat@oecd.org"">ENV.Stat@oecd.org</a></p> <p><span><a href=""https://webfs-env.oecd.org/files/EPEA%20database%20documentation.pdf"">Documentation de la base des donn&eacute;es</a></span></p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED MEASURE=TAXREV,UNIT_MEASURE=USD,CATEGORY=_T,DOMAIN=_T,TIME_PERIOD_START=2017 DEFAULT 8000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Environmentally related tax revenue Recettes provenant des taxes liées à l'environnement <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>ERTR Database</title> <style> body { font-family: Arial, sans-serif; font-size: 11px; } p { font-family: Arial, sans-serif; font-size: 11px; } </style> </head> <body> <p>Environmentally related taxes are effective policy instruments to shape relative prices of goods and services. The Environmental Related Tax Revenue Database (ERTR) categorises taxes based on their environmental relevance, constructing environmentally related tax revenue with a breakdown by tax-base category (including energy, transport, pollution, and resources) and 22 environmental domains. Note that tax-base categories are mutually exclusive, while domains are not. Therefore, one should not aggregate revenue across domains as it may lead to double counting. <p> <p><strong>Data source(s):</strong> ERTR draws from the <i>OECD Policy Instruments for the Environment (PINE)</i> database. The database contains detailed qualitative and quantitative information on environmentally related taxes and fees, tradable permits and offsets, deposit-refund schemes, environmentally beneficial subsidies and payments and voluntary approaches used for environmental policy. It is updated annually and covers OECD member countries, accession countries and selected non-OECD countries. The data has been cross-validated and complemented with <i> Revenue statistics</i> from the <i>Global Revenue Statistics databases</i>, Eurostat National Tax Lists, and official national sources. </p> <p><strong>Contact:</strong> <a href="mailto:pinedatabase@oecd.org">pinedatabase@oecd.org</a></p> <p><strong>Dataset release date:</strong> July 2026</p> <p><p>For further details on the dataset consult the&nbsp;<a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4f959e36-628a-4196-9012-b422b2e0ad40">dataset documentation</a> and <a href="https://oe.cd/pine">oe.cd/pine</a>. For revenue data at the individual-tax level, please consult <a href="https://oe.cd/pinedatabase">https://oe.cd/pinedatabase</a>.</p> </body> </html> <!DOCTYPE html> <html lang="fr"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Base de données sur les taxes liées à l'environnement (ERTR)</title> <style> body { font-family: Arial, sans-serif; font-size: 11px; } </style> </head> <body> <p>Les taxes liées à l'environnement sont des instruments politiques efficaces pour influencer les prix relatifs des biens et des services. La base de données sur les recettes fiscales liées à l'environnement (ERTR) classe les taxes en fonction de leur importance pour l'environnement, en construisant des recettes fiscales liées à l'environnement avec une ventilation par catégorie d'assiette (y compris l'énergie, les transports, la pollution et les ressources) et 22 domaines environnementaux. Il convient de noter que les catégories d'assiette sont mutuellement exclusives, alors que les domaines ne le sont pas. Par conséquent, il ne faut pas agréger les recettes entre les domaines, car cela peut conduire à un double comptage.<p> <p><strong>Source(s) de données :</strong> ERTR s'appuie sur la base de données <i>PINE (Instruments politiques pour l'environnement)</i> de l'OCDE. Cette base de données contient des informations qualitatives et quantitatives détaillées sur les taxes et redevances liées à l'environnement, les permis négociables et les compensations, les systèmes de dépôt-remboursement, subventions et paiements bénéfiques pour l’environnement et les approches volontaires utilisées dans le cadre de la politique environnementale. Elle est mise à jour chaque année et couvre les pays membres de l'OCDE, les pays en voie d'adhésion et certains pays non membres de l'OCDE. Les données ont fait l'objet d'une validation croisée et ont été complétées par des <i> statistiques sur les recettes </i> provenant des <i> bases de données des statistiques mondiales sur les recettes</i>, des listes fiscales nationales d'Eurostat et de sources nationales officielles.</p> <p><strong>Contact :</strong> <a href="mailto:pinedatabase@oecd.org">pinedatabase@oecd.org</a></p> <p><strong>Date de publication de la base de données :</strong> 2026 juillet <br><p>Pour plus de d&eacute;tails sur l'ensemble de donn&eacute;es, consultez <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=4f959e36-628a-4196-9012-b422b2e0ad40">la documentation de la base de donn&eacute;es</a>et <a href="https://oe.cd/pine">oe.cd/pine</a>. Pour les donn&eacute;es sur les recettes au niveau de l'imp&ocirc;t individuel, veuillez consulter <a href="https://oe.cd/pinedatabase">https://oe.cd/pinedatabase</a>.</p> </body> </html> NonProductionDataflow true ACTIVITY,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN CATEGORY LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0,REF_AREA=WXOECD NOT_DISPLAYED REF_AREA=DNK,UNIT_MEASURE=USD,TIME_PERIOD_START=2013 DEFAULT 8000 MAX_TABLE_DATA COMBINED_UNIT_MEASURE:UNIT_MEASURE,CURRENCY,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Environmentally related tax revenue accounts Comptes de recettes fiscales liées à l'environnement <p style="text-align: justify; line-height: normal; background: white;"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">This dataset presents the data collected from OECD and partner economies on environmentally related tax revenue accounts with a breakdown by tax-base category and industrial activity. Taxes levied on greenhouse gas (GHG) emissions are explicitly reported in two sub-categories: an energy related part (recorded as an energy tax) and a non-energy related part, such as certain GHG emissions related to landfills or agriculture (recorded as a pollution tax). Four "memo items" (i.e. information items that do not change the total) are included: (i) Certain land taxes; (ii) Taxes on oil and natural gas extraction; (iii) Taxes on the resource rent; (iv) Elevated value added taxes levied on environmentally related tax-bases. The OECD ERTR accounts are consistent with the existing data collection by Eurostat and are in line with the System of Environmental-Economic Accounting - Central Framework (SEEA-CF).</span></p> <p style="text-align: justify; line-height: normal; background: white;"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">The dataset </span><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">is updated on a biennial basis</span><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">. For EU countries, it includes the information on ERTR accounts reported to Eurostat.</span></p> <p style="text-align: justify; line-height: normal; background: white;"><strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">Dataset release date:</span></strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;"> 2026 July</span></p> <p style="line-height: normal; background: white;"><strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">Contact</span></strong><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">:&nbsp;</span><span style="color: black;"><a href="mailto:ENV.Stat@oecd.org"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif;">ENV.Stat@oecd.org</span></a></span></p> <p style="line-height: normal; background: white;"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">For further details on the dataset consult:<strong> </strong>OECD (2023),&nbsp;<em><a href="https://www.oecd.org/en/publications/methodological-guidelines-for-environmentally-related-tax-revenue-accounts_d752d120-en.html">Methodological Guidelines for Environmentally Related Tax Revenue Accounts</a></em>, OECD Publishing, Paris,&nbsp;</span><span style="color: black;"><a href="https://doi.org/10.1787/d752d120-en"><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif;">https://doi.org/10.1787/d752d120-en</span></a></span><span style="font-size: 10.5pt; font-family: 'Helvetica',sans-serif; color: #182026;">.</span></p> <p style="line-height: normal; background: white;"><span style="font-family: arial, helvetica, sans-serif; color: #182026; font-size: 11pt;">Cet ensemble de donn&eacute;es pr&eacute;sente les donn&eacute;es collect&eacute;es aupr&egrave;s de l'OCDE et des &eacute;conomies partenaires sur les comptes de recettes fiscales li&eacute;es &agrave; l'environnement, avec une ventilation par cat&eacute;gorie d'assiette et par activit&eacute; industrielle. Les taxes pr&eacute;lev&eacute;es sur les &eacute;missions de gaz &agrave; effet de serre (GES) sont explicitement d&eacute;clar&eacute;es dans deux sous-cat&eacute;gories : une partie li&eacute;e &agrave; l'&eacute;nergie (enregistr&eacute;e comme taxe sur l'&eacute;nergie) et une partie non li&eacute;e &agrave; l'&eacute;nergie, telle que certaines &eacute;missions de GES li&eacute;es aux d&eacute;charges ou &agrave; l'agriculture (enregistr&eacute;e comme taxe sur la pollution). Quatre &laquo; postes pour m&eacute;moire &raquo; (c'est-&agrave;-dire des &eacute;l&eacute;ments d'information qui ne modifient pas le total) sont inclus : (i) certaines taxes fonci&egrave;res ; (ii) les taxes sur l'extraction du p&eacute;trole et du gaz naturel ; (iii) les taxes sur la rente des ressources ; (iv) les taxes sur la valeur ajout&eacute;e &eacute;lev&eacute;es pr&eacute;lev&eacute;es sur les assiettes fiscales li&eacute;es &agrave; l'environnement. Les comptes ERTR de l'OCDE sont coh&eacute;rents avec la collecte de donn&eacute;es existante par Eurostat et sont conformes au Syst&egrave;me de comptabilit&eacute; &eacute;conomique et environnementale - Cadre central (SCEE-CF).</span></p> <p style="line-height: normal; background: white;"><span style="font-family: arial, helvetica, sans-serif; color: #182026; font-size: 11pt;">L'ensemble des donn&eacute;es est mis &agrave; jour tous les deux ans. Pour les pays de l'UE, il comprend les informations sur les comptes ERTR communiqu&eacute;es &agrave; Eurostat.</span></p> <p style="line-height: normal; background: white;"><span style="font-size: 11pt; font-family: arial, helvetica, sans-serif;"><strong><span style="color: #182026;">Date de publication de l'ensemble de donn&eacute;es :</span></strong><span style="color: #182026;"> 2026 juillet</span></span></p> <p style="line-height: normal; background: white;"><span style="font-size: 11pt; font-family: arial, helvetica, sans-serif;"><strong><span style="color: #182026;">Contact </span></strong><span style="color: #182026;">: ENV.Stat@oecd.org</span></span></p> <p><span style="font-size: 11pt; font-family: arial, helvetica, sans-serif;"><strong>Pour plus de d&eacute;tails sur l'ensemble de donn&eacute;es, consultez: </strong><span style="color: #182026;">OECD (2023),&nbsp;</span><em><span style="color: #182026;"><a href="https://www.oecd.org/en/publications/methodological-guidelines-for-environmentally-related-tax-revenue-accounts_d752d120-en.html">Methodological Guidelines for Environmentally Related Tax Revenue Accounts</a></span></em><span style="color: #182026;">, OECD Publishing, Paris,&nbsp;</span><a href="https://doi.org/10.1787/d752d120-en">https://doi.org/10.1787/d752d120-en</a><span style="color: #182026;">.</span></span></p> NonProductionDataflow true MEASURE,PRODUCT_CATEGORIES LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2010,MEASURE=MKT,UNIT_MEASURE=KG_PS DEFAULT UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Electrical and electronic equipment (e-waste or WEEE) Déchets - Équipements électriques et électroniques (e-déchets ou DEEE) <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The dataset provides data on the generation, recycling and reuse of e-waste in OECD countries, one of the fastest growing and most complex waste streams in the world, affecting both human health and the environment and proliferating a loss of valuable raw materials.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD-UNITAR questionnaire for non-European countries (ii) <a href="https://ec.europa.eu/eurostat/databrowser/view/env_waseleeos/default/table?lang=en">Eurostat database</a> for European countries</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 7, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><span style='font-family:"Arial",sans-serif;'><a href="https://webfs-env.oecd.org/files/zWaste%20e-waste%202026.pdf">Database documentation</a></span></p> </div> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es fournit des informations sur la production, le recyclage et la r&eacute;utilisation des d&eacute;chets &eacute;lectroniques dans les pays de l&apos;OCDE, l&apos;un des flux de d&eacute;chets les plus complexes et &agrave; la croissance la plus rapide au monde, affectant &agrave; la fois la sant&eacute; humaine et l&apos;environnement et entra&icirc;nant une perte de mati&egrave;res premi&egrave;res pr&eacute;cieuses.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:left;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (i) questionnaire OCDE-UNITAR pour les pays non-europ&eacute;ens (ii) <a href="https://ec.europa.eu/eurostat/databrowser/view/env_waseleeos/default/table?lang=en">Base de données Eurostat</a> pour les pays europ&eacute;ens</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></strong></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 7 avril 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/zWaste%20e-waste%202026.pdf"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=DALY,UNIT_MEASURE=10P3HB,RISK=PM_2_5_OUT,SEX=_T,AGE=_T DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Mortality, morbidity and welfare cost from exposure to environment-related risks Mortalité, morbidité et coûts en bien-être imputables à l'exposition aux risques liés à l'environnement <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;">The <strong>Mortality and Welfare Costs from Exposure to Environmental Risks</strong> database provides data on health impacts and welfare costs from exposure to environmentally-related risks. This dataset integrates data on mortality and Disability-Adjusted Life Years (DALYs) from the <em>Global Burden of Disease Study 2019</em> (GBD 2019), and quantifies welfare costs using a methodology adapted from the OECD (2017),<em> The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries</em>. The database covers a wide range of environmental risks, including air pollution, climate-related threats, exposure to hazardous substances such as lead and radon, unsafe water and sanitation, environment-related occupational risks, and environment-related behavioral risks. The data are disaggregated by gender and age groups, providing a granular view of how these risks impact dimensions of the population.</span></p> <p><strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;">Data source(s):</span></strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"> </span></p> <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">GBD (2019), <em>Global Burden of Disease Study 2019 Results</em>, Institute for Health Metrics and Evaluation, Seattle, United States. </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"><a href="http://ghdx.healthdata.org/gbd-results-tool">http://ghdx.healthdata.org/gbd-results-tool</a></span></p> <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">GBD 2019 Risk Factor Collaborators (2020), <em>Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019</em>, The Lancet, Volume 396, Issue 10258, Pages 1223-1249.&nbsp; </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"><a href="https://doi.org/10.1016/S0140-6736(20)30752-2">https://doi.org/10.1016/S0140-6736(20)30752-2</a><span style="color: #182026;">. Online Appendix 1: </span><a href="https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf">https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf</a></span></p> <p><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">OECD (2017), <em>The Rising Cost of Ambient Air Pollution thus far in the 21st Century: Results from the BRIICS and the OECD Countries</em>, OECD Publishing, Paris. </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif;"><a href="http://dx.doi.org/10.1787/d1b2b844-en">http://dx.doi.org/10.1787/d1b2b844-en</a></span></p> <p><span style="font-size: 11pt;"><strong><span style="font-family: 'Arial',sans-serif; color: #182026;">Contact:</span></strong><span style="font-family: 'Arial',sans-serif; color: #182026;"> </span><span style="font-family: 'Arial',sans-serif; color: #182026;">env.stat@oecd.org</span></span></p> <p style="margin: 0cm 12.0pt 12.0pt 0cm;"><strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">Dataset release date:</span></strong><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;"> </span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">December 2020</span></p> <p style="text-align: justify; background: white; margin: 2.25pt 2.25pt 2.25pt 0cm;"><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #182026;">For further details on the dataset, consult the&nbsp;</span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: black;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1356df09-6bd4-4b0b-9a95-d56e145769ad">Dataset documentation</a></span><span style="font-size: 11.0pt; font-family: 'Arial',sans-serif; color: #495d8e;">.</span></p> <p><span style="font-family: Arial, sans-serif; font-size: 11pt;">La base de donn&eacute;es <strong>Mortalit&eacute;, morbidit&eacute; et co&ucirc;ts en bien-&ecirc;tre imputables &agrave; l'exposition aux risques li&eacute;s &agrave; l'environnement </strong>fournit des donn&eacute;es sur les effets sur la sant&eacute; et les co&ucirc;ts sociaux de l'exposition &agrave; des risques li&eacute;s &agrave; l'environnement. Cet ensemble de donn&eacute;es int&egrave;gre des donn&eacute;es sur la mortalit&eacute; et les ann&eacute;es de vie corrig&eacute;es de l'incapacit&eacute; (AVCI) provenant de l'&Eacute;tude sur la charge mondiale de morbidit&eacute; 2019 (GBD 2019), et quantifie les co&ucirc;ts de bien-&ecirc;tre en utilisant une m&eacute;thodologie adapt&eacute;e de l'OCDE (2017), <em>The Rising Cost of Ambient Air Pollution thus far in the 21st Century</em>. La base de donn&eacute;es couvre un large &eacute;ventail de risques environnementaux, notamment la pollution de l'air, les menaces li&eacute;es au climat, l'exposition &agrave; des substances dangereuses telles que le plomb et le radon, l'eau insalubre et l'assainissement, les risques professionnels li&eacute;s &agrave; l'environnement et les risques comportementaux li&eacute;s &agrave; l'environnement. Les donn&eacute;es sont ventil&eacute;es par sexe et par tranche d'&acirc;ge, ce qui permet d'avoir une vision granulaire de l'impact de ces risques sur certaines dimensions de la population.</span></p> <p><span style="font-size: 11pt;"><strong><span style="font-family: 'Arial',sans-serif;">Source(s) de donn&eacute;es :</span></strong><span style="font-family: 'Arial',sans-serif;"> </span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;">GBD (2019), <em>R&eacute;sultats de l'&eacute;tude Global Burden of Disease 2019</em>, Institute for Health Metrics and Evaluation, Seattle, &Eacute;tats-Unis. </span><span style="font-family: 'Arial',sans-serif;"><a href="http://ghdx.healthdata.org/gbd-results-tool">http://ghdx.healthdata.org/gbd-results-tool</a></span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;">Collaborateurs des Facteurs de Risque GBD 2019 (2020), <em>Charge mondiale de 87 facteurs de risque dans 204 pays et territoires, 1990-2019 : une analyse syst&eacute;matique pour l'&eacute;tude Global Burden of Disease 2019</em>, The Lancet, Volume 396, Num&eacute;ro 10258, Pages 1223-1249. </span><span style="font-family: 'Arial',sans-serif;"><a href="https://doi.org/10.1016/S0140-6736(20)30752-2">https://doi.org/10.1016/S0140-6736(20)30752-2</a></span><span style="font-family: 'Arial',sans-serif;">. Annexe en ligne 1 : </span><span style="font-family: 'Arial',sans-serif;"><a href="https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf">https://ars.els-cdn.com/content/image/1-s2.0-S0140673620307522-mmc1.pdf</a></span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;">OCDE (2017), <em>Le co&ucirc;t croissant de la pollution atmosph&eacute;rique ambiante jusqu'&agrave; pr&eacute;sent au XXIe si&egrave;cle : R&eacute;sultats pour les pays des BRIICS et de l'OCDE</em>, &Eacute;ditions OCDE, Paris. </span><span style="font-family: 'Arial',sans-serif;"><a href="http://dx.doi.org/10.1787/d1b2b844-en">http://dx.doi.org/10.1787/d1b2b844-fr</a></span></span></p> <p style="text-align: left;"><span style="font-size: 11pt;"><span style="font-family: 'Arial',sans-serif;"><span style="font-family: Arial, sans-serif; color: #182026;">Pour plus de d&eacute;tails sur le jeu de donn&eacute;es, consultez la </span><span style="font-family: Arial, sans-serif; color: black;"><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1356df09-6bd4-4b0b-9a95-d56e145769ad">documentation du jeu de donn&eacute;es</a></span><span style="font-family: Arial, sans-serif; color: #495 NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=INT_USE DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Intensity of use of forest resources Intensité d'utilisation des ressources forestières <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset traces net changes in terms of volume in the growing stock of standing wood on forest land. Forest depletion and growth describe balances or imbalances in different types of forests. The intensity of use of forest resources reflects various forest management methods and their sustainability. These data should be read in connection with other indicators, in particular land use changes and forest quality (species diversity, forest degradation), and be complemented with data on forest management practices and protection measures. Please bear in mind that definitions and estimation methods vary for some countries. For details see:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: OECD Annual Quality Assurance (AQA) questionnaire.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e6932a88-6448-4cb9-9245-e65a4df1eb13">Definitions</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e862f572-e855-4daa-ba62-6e23cd37b66d">Country metadata</a></span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es retrace les changements nets en termes de volume du stock croissant de bois sur pied sur les terres foresti&egrave;res. L&apos;&eacute;puisement et la croissance des for&ecirc;ts d&eacute;crivent les &eacute;quilibres ou les d&eacute;s&eacute;quilibres dans diff&eacute;rents types de for&ecirc;ts. L&apos;intensit&eacute; de l&apos;utilisation des ressources foresti&egrave;res refl&egrave;te les diff&eacute;rentes m&eacute;thodes de gestion des for&ecirc;ts et leur durabilit&eacute;. Ces donn&eacute;es doivent &ecirc;tre lues en relation avec d&apos;autres indicateurs, en particulier les changements d&apos;utilisation des terres et la qualit&eacute; des for&ecirc;ts (diversit&eacute; des esp&egrave;ces, d&eacute;gradation des for&ecirc;ts), et &ecirc;tre compl&eacute;t&eacute;es par des donn&eacute;es sur les pratiques de gestion foresti&egrave;re et les mesures de protection. Il convient de garder &agrave; l&apos;esprit que les d&eacute;finitions et les m&eacute;thodes d&apos;estimation varient d&apos;un pays &agrave; l&apos;autre. Pour plus de details, voir:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire Assurance Qualit&eacute; Annuelle (AQA) de l&rsquo;OCDE</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: mars 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e6932a88-6448-4cb9-9245-e65a4df1eb13">D&eacute;finitions</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=e862f572-e855-4daa-ba62-6e23cd37b66d">M&eacute;tadonn&eacute;es pays</a></span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN ACTIVITY LAYOUT_ROW_SECTION TIMELINESS,OBS_STATUS,OBS_STATUS_2 LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2017 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE,BASE_PER UNIT_MEASURE_CONCEPTS 8000 MAX_TABLE_DATA Green Transition Transition verte <div style="font-family: Arial, sans-serif; font-size: 11pt; color: #182026;"> <p>The green transition offers an opportunity to improve living standards, strengthen economic resilience, and safeguard the natural assets and ecosystem services that support societies and economies. The OECD Green Transition Database provides key indicators to track progress and inform policy and public at large. The indicators have been structured around four groups to capture the main features of the green transition:</p> <ul> <li>Environmental and resource productivity: indicate whether economic growth is becoming greener with more efficient use of natural capital and to capture aspects of production which are rarely quantified in economic models and accounting frameworks;</li> <li>The natural asset base: indicate the risks to growth from a declining natural asset base;</li> <li>Environmental dimension of quality of life: indicate how environmental conditions affect the quality of life and wellbeing of people;</li> <li>Economic opportunities and policy responses: indicate the effectiveness of policies in delivering green growth and describe the societal responses needed to secure business and employment opportunities.</li> </ul> <p><strong>Data source(s):</strong> The database synthesises data according to well-specified criteria, across a wide range of domains from both OECD databases and external data sources. For further details, consult the <a href="https://webfs-env.oecd.org/files/Green%20Transition%20Indicators%20-%20Database%20Documentation.docx">database documentation</a>; OECD (2025), <a href="https://www.oecd.org/en/publications/environment-at-a-glance-indicators_ac4b8b89-en/full-report/component-8.html#chapter-d1e3705-54a9e4df02"> Environment at a Glance Indicators, Chapter: Green Transition </a>, OECD Publishing, Paris, https://doi.org/10.1787/ac4b8b89-en.</p> <p><strong>Dataset release date:</strong> August 2026</p> <p><strong>Contact:</strong> env.stat@oecd.org</p> </div> <div style="font-family: Arial, sans-serif; font-size: 11pt;"> <p>La transition verte offre une opportunité d’améliorer les niveaux de vie, de renforcer la résilience économique et de préserver les actifs naturels ainsi que les services écosystémiques qui soutiennent les sociétés et les économies. La base de données de l’OCDE sur la transition verte fournit des indicateurs clés pour suivre les progrès réalisés, éclairer les politiques publiques et informer le grand public. Les indicateurs sont organisés en quatre groupes afin de refléter les principales dimensions de la transition verte :</p> <ul> <li>Productivité de l'environnement et des ressources : indique si la croissance économique devient plus verte grâce à une utilisation plus efficace du capital naturel et pour saisir les aspects de la production qui sont rarement quantifiés dans les modèles économiques et les cadres comptables ;</li> <li>La base d'actifs naturels : indiquer les risques pour la croissance d'une base d'actifs naturels en déclin ;</li> <li>Dimension environnementale de la qualité de vie : indiquer comment les conditions environnementales affectent la qualité de vie et le bien-être des personnes ;</li> <li>Opportunités économiques et réponses politiques : indiquer l'efficacité des politiques en matière de croissance verte et décrire les réponses sociétales nécessaires pour garantir les opportunités d'affaires et d'emploi.</li> </ul> <p><strong>Source(s) de données :</strong> La base de données synthétise des données et des indicateurs selon des critères bien spécifiés, dans un large éventail de domaines, à partir de bases de données de l'OCDE et de sources de données externes. Pour plus de détails sur l'ensemble des données, consultez <a href="https://webfs-env.oecd.org/files/Green%20Transition%20Indicators%20-%20Database%20Documentation.docx">la documentation de la base de données</a>; OECD (2025), <a href="https://www.oecd.org/en/publications/environment-at-a-glance-indicators_ac4b8b89-en/full-report/component-8.html#chapter-d1e3705-54a9e4df02"> Environment at a Glance Indicators, Chapter: Green Transition </a>, OECD Publishing, Paris, https://doi.org/10.1787/ac4b8b89-en.</p> <p><strong>Contact :</strong> env.stat@oecd.org</p> <p><strong>Date de publication de la base de données</strong> : 2026 auot </p> </div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=1990,MEASURE=BONDS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Green transition hidden Green transition NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Hazardous waste: generation and movements Déchets - Déchets dangereux: production et mouvements <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents information on national production, movement and disposal of hazardous waste. Hazardous waste refer to the categories of waste to be controlled according to the Basel Convention on the Control of Transboundary Movements of Hazardous Wastes and their Disposal on the control of transboundary movements of hazardous waste and their disposal.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD State of the environment questionnaire for non-European countries and (ii) Eurostat database (<a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a>) for EU countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: May 6, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff897add-dca6-4f85-8d88-37301f237183"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente les donn&eacute;es sur la production nationale, les mouvements et le traitement de d&eacute;chets dangereux. Les d&eacute;chets dangereux correspondent aux cat&eacute;gories de d&eacute;chets &agrave; contr&ocirc;ler d&apos;apr&egrave;s la Convention de B&acirc;le sur le contr&ocirc;le des mouvements transfronti&egrave;res des produits dangereux et leur &eacute;limination.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (i) Questionnaire OCDE sur l&rsquo;&rsquo;etat de l&rsquo;environnement pour les pays non-europ&eacute;ens et (ii) base de donn&eacute;es Eurostat (</span><span style='font-family:"Arial",sans-serif;'><a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a></span><span style='font-family:"Arial",sans-serif;'>) pour les pays europ&eacute;ens.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 6 mai 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=ff897add-dca6-4f85-8d88-37301f237183"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA=AUS,TIME_PERIOD_START=2018,MEASURE=TES_GDP DEFAULT IPAC Dashboard indicators Indicateurs du tableau de bord IPAC NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,ISO NOT_DISPLAYED MEASURE=LCC_NATLOSS,TIME_PERIOD_START=2000,TIME_PERIOD_END=2022,REF_AREA=AFG+BFA+BDI+CAF+TCD+SWZ+ETH+GUF+ATF+GLP+HMD+VAT+KAZ+XKV+KGZ+LAO+LSO+LIE+MWI+MLI+MTQ+MDA+MNG+NPL+NER+NFK+MKD+PRY+REU+RWA+SMR+SRB+SGS+SSD+TJK+TKM+UGA+UMI+UZB+ZMB+ZWE+IOT+BVT+BWA+BOL+BTN+BLR+AZE+ARM+AND+CHE+SVK+LUX+HUN+CZE+AUT+ALB+DZA+ASM+AGO+AIA+ATG+ARG+ABW+BHS+BHR+GGY+BGD+BRB+BLZ+BEN+BMU+BIH+BRA+VGB+BRN+BGR+CPV+KHM+CMR+CYM+CHN+CXR+COM+COG+COK+CIV+HRV+CUB+CYP+PRK+COD+DJI+DMA+DOM+ECU+EGY+SLV+GNQ+ERI+FRO+FJI+PYF+GAB+GMB+GEO+GHA+GRL+GRD+GUM+GTM+GIN+GNB+GUY+HTI+HND+HKG+IND+IDN+IRN+IRQ+IMN+JAM+JEY+JOR+KEN+KIR+KWT+LBN+LBR+LBY+MAC+MDG+MYS+MDV+MLT+MHL+MRT+MUS+MYT+FSM+MCO+MNE+MSR+MAR+MOZ+MMR+NAM+NRU+NCL+NIC+NGA+NIU+MNP+OMN+PAK+PLW+PSE+PAN+PNG+PER+PHL+PCN+PRI+QAT+ROU+RUS+SHN+KNA+LCA+SPM+VCT+WSM+STP+SAU+SEN+SYC+SLE+SGP+SLB+SOM+ZAF+LKA+SDN+SUR+SJM+SYR+TWN+TZA+THA+TLS+TGO+TKL+TON+TTO+TUN+TCA+TUV+UKR+ARE+VIR+URY+VUT+VEN+VNM+WLF+ESH+YEM+AU1+AU2+AU3+AU4+AU5+AU6+AU7+AU8+AUS+BEL+CAN+CHL+COL+CRI+DNK+EST+FIN+FRA+DEU+GRC+ISL+IRL+ISR+ITA+JPN+KOR+LVA+LTU+MEX+NLD+NZL+NOR+POL+PRT+SVN+ESP+SWE+TUR+GBR+USA+G7+G20+EA20+EU27_2020+OECD+OECDA+OECDSO+OECDE+AES+EMES+IPAC+W+A9,UNIT_MEASURE=PT_LND_NTR_SNTR_BP DEFAULT ISO:OECD.ENV.EPI:HCL_AREA_LAND_COVER(1.0).H HIER_CONTEXT Land cover and land cover change La couverture du sol et changement de la couverture du sol The land cover dataset provides a global assessment of land cover and land cover change to monitor pressures on ecosystems and biodiversity. By using geospatial data with high spatio-temporal resolution, it develops a set of internationally comparable indicators with a long time series and a five-year interval from 2000 to 2022 for the Climate Change Initiative Land Cover dataset, and from 1975 to 2030 for the Global Human Settlement Layer dataset. Please see the <a href="https://doi.org/10.1787/441a7a6c-en">working paper</a> for a more complete description of the methods. <br></br>The dataset has a global coverage on the national level, while on the sub-national TL2 level (i.e. large subnational regions) results are reported for all OECD countries as well as for Argentina, Brazil, China, India, Indonesia and South Africa. The following country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas, the LAC region and the World. <br></br><b>Data source(s)</b>: <a href="https://www.esa-landcover-cci.org/">Climate Change Initiative</a> land cover data and <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> built-up area data. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Database documentation L'ensemble de données sur la couverture du sol fournit une évaluation globale de la couverture du sol et changement de la couverture du sol afin de surveiller les pressions exercées sur les écosystèmes et la biodiversité. En utilisant des données géospatiales à haute résolution spatio-temporelle, il développe un ensemble d'indicateurs comparables au niveau international avec une longue série temporelle et un intervalle de cinq ans de 2000 à 2022 pour l'ensemble de données Climate Change Initiative Land Cover, et de 1975 à 2030 pour l'ensemble de données Global Human Settlement Layer. Veuillez consulter le <a href="https://doi.org/10.1787/441a7a6c-en">document de travail</a> pour une description plus complète des méthodes. <br></br>L'ensemble de données a une couverture globale au niveau national, tandis qu'au niveau sous-national TL2 (c'est-à-dire les grandes régions sous-nationales), les résultats sont rapportés pour tous les pays de l'OCDE ainsi que pour l'Argentine, le Brésil, la Chine, l'Inde, l'Indonésie et l'Afrique du Sud. Un certain nombre de groupes de pays sont inclus: Zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques, pays d'Amérique latine et monde. <br></br><b>Source(s) de données</b>: <a href="https://www.esa-landcover-cci.org/">Climate Change Initiative</a> données sur la couverture des sols et <a href="https://ghsl.jrc.ec.europa.eu/data.php">Global Human Settlement Layer</a> données géospatiales sur les zones bâties. <br></br><b>Contact</b>: <a href="ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> <br></br>Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=AREA DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Land use Utilisation des sols <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <ul style="list-style-type: disc;"> <li><span style='font-family:"Arial",sans-serif;'>a physical &quot;milieu&quot; necessary for the development of natural vegetation as well as cultivated vegetation;</span></li> <li><span style='font-family:"Arial",sans-serif;'>a resource for human activities.</span></li> </ul> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Food and Agriculture Organization of the U.N., (<a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: August 5, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/Database%20documentation%20LAND_USE.pdf"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://webfs-env.oecd.org/files/RL_EN_Country_Notes.pdf">Countries metadata</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les ressources fonci&egrave;res sont l&apos;une des quatre composantes de l&apos;environnement naturel : l&apos;eau, l&apos;air, la terre et les ressources vivantes. Dans ce contexte, la terre est &agrave; la fois</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- un &quot;milieu&quot; physique n&eacute;cessaire au d&eacute;veloppement de la v&eacute;g&eacute;tation naturelle et de la v&eacute;g&eacute;tation cultiv&eacute;e ;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- une ressource pour les activit&eacute;s humaines.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les donn&eacute;es pr&eacute;sent&eacute;es ici fournissent des informations sur l&apos;&eacute;tat et les changements de l&apos;utilisation des terres (par exemple, terres agricoles, terres foresti&egrave;res).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es : Organisation des Nations unies pour l&apos;alimentation et l&apos;agriculture, (</span><span style='font-family:"Arial",sans-serif;'><a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a></span><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: ENV.Stat@oecd.org</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><span style='font-family:"Arial",sans-serif;'>5 Ao&ucirc;t 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/Database%20documentation%20LAND_USE.pdf"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://webfs-env.oecd.org/files/RL_EN_Country_Notes.pdf">M&eacute;tadonn&eacute;es Pays</a></span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=AREA DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Land use hidden Utilisation des sols caché <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Land resources are one of the four components of the natural environment: water, air, land and living resources. In this context land is both:</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <ul style="list-style-type: disc;"> <li><span style='font-family:"Arial",sans-serif;'>a physical &quot;milieu&quot; necessary for the development of natural vegetation as well as cultivated vegetation;</span></li> <li><span style='font-family:"Arial",sans-serif;'>a resource for human activities.</span></li> </ul> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>The data presented here give information concerning land use state and changes (e.g. agricultural land, forest land).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Food and Agriculture Organization of the U.N., (<a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: June 3, 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1a18840d-857e-4575-8189-6b089a06061d"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abe6cd0d-9a74-442c-9818-a57322fa6c9b">Countries metadata</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les ressources fonci&egrave;res sont l&apos;une des quatre composantes de l&apos;environnement naturel : l&apos;eau, l&apos;air, la terre et les ressources vivantes. Dans ce contexte, la terre est &agrave; la fois</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- un &quot;milieu&quot; physique n&eacute;cessaire au d&eacute;veloppement de la v&eacute;g&eacute;tation naturelle et de la v&eacute;g&eacute;tation cultiv&eacute;e ;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>- une ressource pour les activit&eacute;s humaines.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les donn&eacute;es pr&eacute;sent&eacute;es ici fournissent des informations sur l&apos;&eacute;tat et les changements de l&apos;utilisation des terres (par exemple, terres agricoles, terres foresti&egrave;res).</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es : Organisation des Nations unies pour l&apos;alimentation et l&apos;agriculture, (</span><span style='font-family:"Arial",sans-serif;'><a href="https://www.fao.org/faostat/en/#data/RL">FAOSTAT</a></span><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: ENV.Stat@oecd.org</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><span style='font-family:"Arial",sans-serif;'>3 Juin 2024</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=1a18840d-857e-4575-8189-6b089a06061d"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><br></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=abe6cd0d-9a74-442c-9818-a57322fa6c9b">M&eacute;tadonn&eacute;es Pays</a></span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,OBS_STATUS_4 LAYOUT_FLAG OBS_STATUS=A,FREQ=A NOT_DISPLAYED TIME_PERIOD_START=2015,GROUP=TOT,MEASURE=DMC,REF_AREA=OECD DEFAULT UNIT_MULT,UNIT_MEASURE,PRICE_BASE,BASE_PER,CONVERSION_TYPE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MULT,UNIT_MEASURE,PRICE_BASE,BASE_PERIOD,CONVERSION_TYPE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Material flow accounts Comptes de flux de matières <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>These data refer to material resources, i.e. materials originating from natural resources that form the material basis of the economy: metals (ferrous, non-ferrous) non-metallic minerals (construction minerals, industrial minerals), biomass (wood, food) and fossil energy carriers.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: U.N. Environment Programme (UNEP) <a href="https://www.resourcepanel.org/global-material-flows-database">Global Material Flows Database</a> for non European countries and for material footprint data; Eurostat&rsquo;s <a href="https://ec.europa.eu/eurostat/databrowser/explore/all/envir?sort=category&lang=en&subtheme=env.env_mrp&display=list">Material Flow and Productivity</a> database</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: August 5, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/MFA%20database%20documentation.pdf"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Ces donn&eacute;es concernent les ressources mat&eacute;rielles, c.&agrave;.d. les mati&egrave;res issues de ressources naturelles qui constituent la base mat&eacute;rielle de l&apos;&eacute;conomie : les m&eacute;taux (ferreux, non-ferreux), les min&eacute;raux non-m&eacute;talliques (min&eacute;raux de construction, min&eacute;raux industriels), la biomasse (bois, aliments), les &eacute;nergies fossiles.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es : Base de donn&eacute;es du Programme des Nations unies pour l&apos;environnement (PNUE) sur les&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="https://www.resourcepanel.org/global-material-flows-database">flux mondiaux de mati&egrave;res</a></span><span style='font-family:"Arial",sans-serif;'>&nbsp;pour les pays non europ&eacute;ens et pour les donn&eacute;es relatives &agrave; l&apos;empreinte mat&eacute;rielle ; base de donn&eacute;es d&apos;Eurostat sur les&nbsp;</span><span style='font-family:"Arial",sans-serif;'><a href="https://ec.europa.eu/eurostat/databrowser/explore/all/envir?sort=category&lang=en&subtheme=env.env_mrp&display=list">flux de mati&egrave;res et la productivit&eacute;</a></span><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 5 Ao&ucirc;t 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/MFA%20database%20documentation.pdf"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,OBS_STATUS_2,OBS_STATUS_3,OBS_STATUS_4 LAYOUT_FLAG OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=MUNICIPAL,TIME_PERIOD_START=2015,UNIT_MEASURE=T DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,BASE_PER,CONVERSION_TYPE,PRICE_BASE COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Municipal waste: generation and treatment Déchets - Déchets municipaux: production et traitement <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents trends in amounts of municipal waste generated (including household waste), and the treatment and disposal method used. The amount of waste generated in each country is related to the rate of urbanisation, the types and pattern of consumption, household revenue and lifestyles.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: OECD Annual Quality Assurance (AQA) questionnaire (jointly collected with Eurostat) for OECD countries. UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at:&nbsp;</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>) for non-OECD countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: March, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><span style='font-family:"Arial",sans-serif;'><a href="https://webfs-env.oecd.org/files/zMunW.pdf">Database documentation</a></span></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente les tendances des quantit&eacute;s de d&eacute;chets municipaux produites (y compris les d&eacute;chets des m&eacute;nages), ainsi que les m&eacute;thodes de traitement et d&apos;&eacute;limination utilis&eacute;es. Les quantit&eacute;s de d&eacute;chets produites dans chaque pays sont li&eacute;es au degr&eacute; d&apos;urbanisation, aux types et structures de consommation ainsi qu&apos;au niveau des revenus et style de vie des m&eacute;nages.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>: Questionnaire Assurance Qualit&eacute; Annuelle (AQA) de l&rsquo;OCDE (conjointement avec Eurostat) pour les pays OCDE. UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (disponible &agrave; l&apos;adresse :&nbsp;</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>) pour les pays non membres de l&apos;OCDE.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: mars 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/zMunW.pdf"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN IUCN_CODE,OBS_STATUS LAYOUT_FLAG UNIT_MULT=0,OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=TERRESTRIAL,DESIGNATION=ALL_INC_P,CALC_METHOD=TCEOA,SCOPE=CNTRY,UNIT_MEASURE=PT_LAR DEFAULT 8000 MAX_TABLE_DATA Protected areas Aires protégées This dataset provides country-level protected area coverage for terrestrial, marine and coastal domains calculated from the World Database on Protected Areas (<a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA">WDPA</a>). It provides disaggregations of protected area total by IUCN management objectives. The International Union for the Conservation of Nature (<a href="https://www.iucn.org/">IUCN</a>) has developed an internationally agreed definition of protected areas, which classify them as strict nature reserves and wilderness areas (Ia and Ib), national parks (II), natural monuments or features (III), habitat or species management areas (IV), protected landscapes or seascapes (V), and protected areas with sustainable use of natural resources (VI). Please see the <a href="https://doi.org/10.1787/e0796071-en">working paper</a> for a more complete description of the methods. <br /><br />The dataset has a global coverage on the national level and spans the period 1950-2024. A number of country aggregates are included: Euro area, European Union, Advanced economies, Emerging market economies, G7, G20, OECD, OECD Europe, OECD Asia Oceania, OECD Americas and Latin American countries. <br></br><b>Data source(s)</b>: Protected area data from the <a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA">World Database on Protected Areas</a>. <br></br><b>Contact</b>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> Cet ensemble de données fournit une couverture des aires protégées à l'échelle nationale pour les domaines terrestres, marins et côtiers, calculée à partir de la base de données mondiale sur les aires protégées (<a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA">WDPA</a>). Il procure les désagrégations de la superficie totale des aires protégées selon les objectifs de gestion de l'UICN. L'Union internationale pour la conservation de la nature (<a href="https://www.iucn.org/fr">UICN</a>) a élaboré une définition des aires protégées internationalement reconnue, qui les classe en réserves naturelles intégrales et zones de nature sauvage (Ia et Ib), parcs nationaux (II), monuments ou éléments naturels (III), aire de gestion des habitats ou des espèces(IV), paysages terrestres ou marins protégés (V) et aires protégées de ressources naturelles gérée (VI). Veuillez consulter le <a href="https://doi.org/10.1787/e0796071-en">document de travail</a> pour une description plus complète des méthodes. <br /><br />L'ensemble de données a une couverture globale au niveau national et couvre la période de 1950 à 2024. Un certain nombre de groupes de pays sont inclus: zone euro, Union européenne, économies avancées, économies de marché émergentes, G7, G20, OCDE, OCDE Europe, OCDE Asie Océanie, OCDE Amériques et pays d'Amérique latine. <br></br><b>Source(s) de données</b>: Données sur les aires protégées de la base de <a href="https://www.protectedplanet.net/en/thematic-areas/wdpa?tab=WDPA">données mondiale sur les aires protégées</a>. <br></br><b>Contact</b>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a> NonProductionDataflow true REF_AREA LAYOUT_ROW PARTNER LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=CAN+COL+FRA+DEU+JPN+KOR+LVA+GBR+USA+CHN+MAR,TIME_PERIOD_START=2022,PARTNER=CAN+COL+FRA+DEU+JPN+KOR+LVA+GBR+USA+CHN+MAR,TECH=ENV_PAT DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - international bilateral collaboration in technology development Brevets - Collaborations bilatérales dans le développement technologique <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">This dataset presents data on bilateral collaborations in environment-related technologies, using inventors&rsquo; country of residence.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: April 16, 2026</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf">Database documentation</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur les collaborations bilat&eacute;rales dans le domaine des technologies li&eacute;es &agrave; l&apos;environnement, en utilisant le pays de r&eacute;sidence des inventeurs<span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">&nbsp;Pour plus d&apos;information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la &quot;Documentation de la base de donn&eacute;es&quot;.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Source(s) de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> </span></span><span style="color: rgb(79, 129, 189);font-family: Arial, sans-serif;"><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Date de publication de la base de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: 16 Avril 2026</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true TECH LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,MEASURE=WITHIN DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - international collaboration in technology development Brevets - Collaboration internationale dans le développement technologique <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">This dataset presents data on shares of co-inventions and on shares of inventors&rsquo; collaborations across the OECD area and elsewhere, in environment-related technologies, using inventors&rsquo; country of residence.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: April 16, 2026</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf">Database documentation</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur la part des co-inventions et sur la part des collaborations entre inventeurs dans la zone OCDE et ailleurs, dans le domaine des technologies li&eacute;es &agrave; l&apos;environnement, en utilisant le pays de r&eacute;sidence de l&apos;inventeur.</p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">&nbsp;Pour plus d&apos;information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la &quot;Documentation de la base de donn&eacute;es&quot;.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Source(s) de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> </span></span><span style="color: rgb(79, 129, 189);font-family: Arial, sans-serif;"><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Date de publication de la base de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: 16 Avril 2026</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED SEX=TOTAL,UNIT_MEASURE=PATN,SIZE=TWO,TECH=ENV_PAT,TIME_PERIOD_START=2015 DEFAULT Patents - technology development Brevets - développement technologique <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents data on inventions in environment-related technologies, using inventors&rsquo; country of residence, as well as on shares of inventions by gender of the inventor.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><span style='font-family:"Arial",sans-serif;'>OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color:#4F81BD;">&nbsp;<a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 16, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur les inventions dans le domaine des technologies li&eacute;es &agrave; l&apos;environnement, en utilisant le pays de r&eacute;sidence des inventeurs, ainsi que sur la part des inventions en fonction du sexe de l&apos;inventeur.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color:#4F81BD;">&nbsp;</span></span><span style='font-family:"Arial",sans-serif;color:#4F81BD;'><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 16 Avril 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><a href=https://webfs-env.oecd.org/files/Patent%20metadata.pdf"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></p> NonProductionDataflow true TECH LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010,PAT=_Z DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - technology diffusion Brevets - Diffusion technologique <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">This dataset presents data on patent applications by patent office.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: April 16, 2026</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf">Database documentation</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l&apos;innovation dans les technologies li&eacute;es &agrave; l&apos;environnement. Ils permettent d&apos;&eacute;valuer les performances des pays en mati&egrave;re d&apos;innovation et de concevoir les politiques environnementales et d&apos;innovation des gouvernements.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es sur les demandes de brevets par office des brevets.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">&nbsp;Pour plus d&apos;information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la &quot;Documentation de la base de donn&eacute;es&quot;.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Source(s) de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> </span></span><span style="color: rgb(79, 129, 189);font-family: Arial, sans-serif;"><a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Date de publication de la base de donn&eacute;es</span></strong><span style="font-family: Arial, sans-serif;">&nbsp;: 16 Avril 2026</span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20metadata.pdf">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true TYPE,TECH LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010 DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Patents - indicators Brevets - indicateurs <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">Patent statistics and indicators are suitable for tracking innovation in environment-related technologies. They allow the assessment of countries&apos; innovation performance as well as the design of governments&apos; environmental and innovation policies.</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: Arial, sans-serif;">This dataset presents indicators on patents derived from the other patent datasets (international collaborations, technology development and technology diffusion).</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style="font-family: Arial, sans-serif;">For more information on the methodology, click the link below on &quot;Database documentation&quot;</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Data source(s)</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><span style="font-family: Arial, sans-serif;">OECD, STI Micro-data Lab: Intellectual Property Database,<span style="color: rgb(79, 129, 189);"> <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></span></span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Contact</span></strong><span style="font-family: Arial, sans-serif;">:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style="font-family: Arial, sans-serif;">ENV.Stat@oecd.org</span></a></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><strong><span style="font-family: Arial, sans-serif;">Dataset release date</span></strong><span style="font-family: Arial, sans-serif;">: April 16, 2026</span></p> <p style='text-align: justify;color: rgb(24, 32, 38);background-color: rgb(255, 255, 255);font-size: 15px;font-family: "'><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Patent%20indicators%20metadata.pdf">Database documentation</a></span></p> <p>Les statistiques et les indicateurs relatifs aux brevets sont adapt&eacute;s au suivi de l'innovation dans les technologies li&eacute;es &agrave; l'environnement. Ils permettent d'&eacute;valuer les performances des pays en mati&egrave;re d'innovation et de concevoir les politiques environnementales et d'innovation des gouvernements.</p> <p>Cette base de donn&eacute;es pr&eacute;sente des indicateurs sur les brevets d&eacute;riv&eacute;s des autres bases de donn&eacute;es sur les brevets (collaborations internationales, d&eacute;veloppement de brevets et diffusion de brevets).</p> <p>&nbsp;Pour plus d'information sur la m&eacute;thodologie, suivre le lien ci-dessous sur la "Documentation de la base de donn&eacute;es".</p> <p><strong>Source(s) de donn&eacute;es</strong>&nbsp;: OECD, STI Micro-data Lab: Intellectual Property Database, <a href="http://oe.cd/ipstats">http://oe.cd/ipstats</a></p> <p><strong>Contact</strong>&nbsp;: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a>&nbsp;</p> <p><strong>Date de publication de la base de donn&eacute;es</strong>&nbsp;: 16 Avril 2026</p> <p><a href="https://webfs-env.oecd.org/files/Patent%20indicators%20metadata.pdf">Documentation de la base de donn&eacute;es</a></p> NonProductionDataflow true MEASURE,DESIGNATION,RET_PERIOD,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0,UNIT_MEASURE=_X,DEGISNATION=(_T+_Z),RET_PERIOD=(_T+_Z),REF_AREA=WXOECD NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2017 DEFAULT 8000 MAX_TABLE_DATA COMBINED_MEASURE:MEASURE,DESIGNATION,RET_PERIOD;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Measure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Sustainable Ocean Economy Economie durable de l'océan The ocean is a shared global resource. Ocean-related industries in many countries have expanded with insufficient consideration for the environment, risking natural resources and essential marine ecosystem services that underpin economies and human well-being. </p> <p> The OECD Sustainable Ocean Economy Database synthesises ocean-related datasets, covering 20+ indicators across 6 ocean themes: <li>Natural capital of the ocean</li> <li>Environmental dimension of wellbeing and resilience in coastal communities</li> <li>Environmental and resource productivity of the ocean economy</li> <li>Economic opportunities from pursuing ocean sustainability</li> <li>Policy responses directed at ocean sustainability</li> <li>The socio-economic context</li> </ol> <p> <p> Results are featured in the Sustainable Ocean Economy chapter in the Environment at a Glance web-book: <a href="https://www.oecd.org/en/publications/environment-at-a-glance-indicators_ac4b8b89-en/full-report/component-6.html#chapter-d1e5368-bb7bab5585"> Environment at a Glance – Sustainable Ocean Economy Chapter </a> <p> <strong>Data source(s):</strong> The database integrates data from multiple OECD directorates (Environment, Trade and Agriculture Directorate, Centre for Entrepreneurship, SMEs, Regions and Cities, the International Transport Forum, the International Energy Agency (IEA)), and other international organisations. For further details, consult the database <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=548cebae-c83f-4548-b045-ec0cb6c116be">documentation</a>. </p> <p> <strong>Dataset release date:</strong> May 2025 </p> <p> <strong>Contact:</strong> <a href="mailto:env.stat@oecd.org">env.stat@oecd.org</a> </p> L’océan est une ressource mondiale partagée. Les industries liées à l’océan se sont développées dans de nombreux pays sans prendre suffisamment en compte l’environnement, mettant ainsi en péril les ressources naturelles et les services écosystémiques marins essentiels qui soutiennent les économies et le bien-être humain. </p> <p> La base de données de l’OCDE sur l’économie océanique durable synthétise des ensembles de données liés à l’océan, couvrant plus de 20 indicateurs répartis en 6 thématiques : <li>Capital naturel de l’océan</li> <li>Dimension environnementale du bien-être et de la résilience dans les communautés côtières</li> <li>Productivité environnementale et des ressources de l’économie océanique</li> <li>Opportunités économiques liées à la durabilité de l’océan</li> <li>Réponses politiques en faveur de la durabilité de l’océan</li> <li>Contexte socio-économique</li> </ol> </p> <p> Les résultats sont présentés dans le chapitre sur l’économie océanique durable de l’ouvrage numérique <em>Environment at a Glance</em> : <a href="https://www.oecd.org/en/publications/environment-at-a-glance-indicators_ac4b8b89-en/full-report/component-6.html#chapter-d1e5368-bb7bab5585"> Environment at a Glance – Chapitre sur l’économie océanique durable </a> </p> <p> <strong>Source(s) des données :</strong> La base de données intègre des données de plusieurs directions de l’OCDE (Environnement, Direction des échanges et de l’agriculture, Centre pour l’entrepreneuriat, les PME, les régions et les villes, Forum international des transports, Agence internationale de l’énergie (AIE)), ainsi que d’autres organisations internationales. Pour plus de détails, consultez la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=548cebae-c83f-4548-b045-ec0cb6c116be">documentation</a>. </p> <p> <strong>Date de diffusion de l’ensemble de données :</strong> mai 2025 </p> <p> <strong>Contact :</strong> <a href="mailto:env.stat@oecd.org">env.stat@oecd.org</a> </p> NonProductionDataflow true REF_AREA,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS LAYOUT_FLAG OBS_STATUS=A,FREQ=A,UNIT_MULT=0,UNIT_MEASURE=_X,DEGISNATION=(_T+_Z),RET_PERIOD=(_T+_Z),REF_AREA=WXOECD NOT_DISPLAYED MEASURE=MARINE,UNIT_MEASURE=KM2,TIME_PERIOD_START=2010 DEFAULT 8000 MAX_TABLE_DATA COMBINED_MEASURE:MEASURE,DESIGNATION,RET_PERIOD;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT,PRICE_BASE,REF_YEAR_PRICE COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Measure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée Sustainable Ocean Economy - All countries by indicator Economie durable de l'océan - Tous les pays par indicateur The ocean is a shared global resource. Ocean-related industries in many countries have expanded with insufficient consideration for the environment, risking natural resources and essential marine ecosystem services that underpin economies and human well-being. </p> <p> The OECD Sustainable Ocean Economy Database synthesises ocean-related datasets, covering 20+ indicators across 6 ocean themes: <li>Natural capital of the ocean</li> <li>Environmental dimension of wellbeing and resilience in coastal communities</li> <li>Environmental and resource productivity of the ocean economy</li> <li>Economic opportunities from pursuing ocean sustainability</li> <li>Policy responses directed at ocean sustainability</li> <li>The socio-economic context</li> </ol> <p> <p> Results are featured in the Sustainable Ocean Economy chapter in the Environment at a Glance web-book: <a href="https://www.oecd.org/en/publications/environment-at-a-glance-indicators_ac4b8b89-en/full-report/component-6.html#chapter-d1e5368-bb7bab5585"> Environment at a Glance – Sustainable Ocean Economy Chapter </a> <p> <strong>Data source(s):</strong> The database integrates data from multiple OECD directorates (Environment, Trade and Agriculture Directorate, Centre for Entrepreneurship, SMEs, Regions and Cities, the International Transport Forum, the International Energy Agency (IEA)), and other international organisations. For further details, consult the database <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=548cebae-c83f-4548-b045-ec0cb6c116be">documentation</a>. </p> <p> <strong>Dataset release date:</strong> May 2025 </p> <p> <strong>Contact:</strong> <a href="mailto:env.stat@oecd.org">env.stat@oecd.org</a> </p> L’océan est une ressource mondiale partagée. Les industries liées à l’océan se sont développées dans de nombreux pays sans prendre suffisamment en compte l’environnement, mettant ainsi en péril les ressources naturelles et les services écosystémiques marins essentiels qui soutiennent les économies et le bien-être humain. </p> <p> La base de données de l’OCDE sur l’économie océanique durable synthétise des ensembles de données liés à l’océan, couvrant plus de 20 indicateurs répartis en 6 thématiques : <li>Capital naturel de l’océan</li> <li>Dimension environnementale du bien-être et de la résilience dans les communautés côtières</li> <li>Productivité environnementale et des ressources de l’économie océanique</li> <li>Opportunités économiques liées à la durabilité de l’océan</li> <li>Réponses politiques en faveur de la durabilité de l’océan</li> <li>Contexte socio-économique</li> </ol> </p> <p> Les résultats sont présentés dans le chapitre sur l’économie océanique durable de l’ouvrage numérique <em>Environment at a Glance</em> : <a href="https://www.oecd.org/en/publications/environment-at-a-glance-indicators_ac4b8b89-en/full-report/component-6.html#chapter-d1e5368-bb7bab5585"> Environment at a Glance – Chapitre sur l’économie océanique durable </a> </p> <p> <strong>Source(s) des données :</strong> La base de données intègre des données de plusieurs directions de l’OCDE (Environnement, Direction des échanges et de l’agriculture, Centre pour l’entrepreneuriat, les PME, les régions et les villes, Forum international des transports, Agence internationale de l’énergie (AIE)), ainsi que d’autres organisations internationales. Pour plus de détails, consultez la <a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=548cebae-c83f-4548-b045-ec0cb6c116be">documentation</a>. </p> <p> <strong>Date de diffusion de l’ensemble de données :</strong> mai 2025 </p> <p> <strong>Contact :</strong> <a href="mailto:env.stat@oecd.org">env.stat@oecd.org</a> </p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,SOURCE LAYOUT_ROW_SECTION OBS_STATUS,OBS_STATUS_2 LAYOUT_FLAG OBS_STATUS=A,FREQ=A NOT_DISPLAYED SOURCE=TOTAL_ABSTRACT,MEASURE=TOTAL,TIME_PERIOD_START=2010,UNIT_MEASURE=M3_PS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - abstractions Eau douce - prélèvements <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>This dataset shows water abstractions by source (surface and ground water) and by major uses. Water abstractions refer to water taken from ground or surface water sources and conveyed to the place of use. If the water is returned to a surface water source, abstraction of the same water by the downstream user is counted again in compiling total abstractions.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>When interpreting those data, it should be borne in mind that the definitions and estimation methods employed by member countries may vary considerably.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Data source(s)</strong>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Funstats.un.org%2Funsd%2Fenvstats%2Fcountry_files&data=05%7C02%7CMauro.MIGOTTO%40oecd.org%7C7ea6f3f805c54ac71c0c08dd7781736f%7Cac41c7d41f61460db0f4fc925a2b471c%7C0%7C0%7C638798120182570804%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E%2FXVio6Cf2tDv%2BRanuzY26iQlBGt4T6OqmiKPZ5%2F1Xg%3D&reserved=0">https://unstats.un.org/unsd/envstats/country_files</a>))</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Dataset release date</strong>: August 7, 2026</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Water%20Abstractions%20-%20Country%20metadata%20.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Cette base de donn&eacute;es montre les pr&eacute;l&egrave;vements d&apos;eau par source (eaux de surface et eaux souterraines) et par utilisation principale. Les pr&eacute;l&egrave;vements d&apos;eau font r&eacute;f&eacute;rence &agrave; l&apos;eau pr&eacute;lev&eacute;e dans les sources d&apos;eau souterraines ou de surface et achemin&eacute;e jusqu&apos;au lieu d&apos;utilisation. Si l&apos;eau retourne &agrave; une source d&apos;eau de surface, le pr&eacute;l&egrave;vement de la m&ecirc;me eau par l&apos;utilisateur en aval est recompt&eacute; dans le calcul des pr&eacute;l&egrave;vements totaux.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Lors de l&apos;interpr&eacute;tation de ces donn&eacute;es, il convient de garder &agrave; l&apos;esprit que les d&eacute;finitions et les m&eacute;thodes d&apos;estimation employ&eacute;es par les &eacute;tats membres peuvent varier consid&eacute;rablement.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Date de publication de la base de donn&eacute;es</strong> : 7 Ao&ucirc;t 2026</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Water%20Abstractions%20-%20Country%20metadata%20.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED PERIOD=LTAA,REF_AREA=AUS DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Water accounts - assets Comptes de l'eau - actifs <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Water flow accounts describe flows of water, in physical units, encompassing the initial abstraction of water resources from the environment into the economy, to the water flows within the economy in the form of supply and use by industries and households, and finally, flows of water back to the environment.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Asset accounts for water resources focus on the inflows and outflows of water to and from the land surface and subsurface, and on the destination of these flows. They present information on the stock of water at the beginning and end of an accounting period.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: August 7, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://webfs-env.oecd.org/files/WATER%20ASSET%20ACCOUNTS%20METADATA.pdf">Database documentation</a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les comptes de flux d&apos;eau d&eacute;crivent les flux d&apos;eau, en unit&eacute;s physiques, englobant l&apos;extraction initiale des ressources en eau de l&apos;environnement vers l&apos;&eacute;conomie, les flux d&apos;eau au sein de l&apos;&eacute;conomie sous la forme d&apos;approvisionnement et d&apos;utilisation par les industries et les m&eacute;nages, et enfin les flux d&apos;eau retournant &agrave; l&apos;environnement.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les comptes d&apos;actifs pour les ressources en eau se concentrent sur les flux d&apos;eau entrants et sortants de la surface du sol et du sous-sol, ainsi que sur la destination de ces flux. Ils pr&eacute;sentent des informations sur le stock d&apos;eau au d&eacute;but et &agrave; la fin d&apos;une p&eacute;riode comptable.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (</span><span style='font-family:"Arial",sans-serif;'><a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a></span><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 7 Ao&ucirc;t 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Arial",sans-serif;'><a href="https://webfs-env.oecd.org/files/WATER%20ASSET%20ACCOUNTS%20METADATA.pdf">Documentation de la base de donn&eacute;es</a></span></p> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS,FREQ,UNIT_MULT=0 NOT_DISPLAYED PAR=VOLUME,MEASURE=ALL_AGR DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Wastewater - generation and discharge Eaux usées - production et rejet <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>This dataset shows generation, treatment and discharges of wastewater, by source and in terms of volumes and of Biochemical Oxygen Demand (BOD) and Chemical Oxygen Demand (COD).</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>UN-Habitat, WHO, and UNSD are co-custodians for SDG Indicator 6.3.1. &nbsp; The Eurostat/OECD Joint Questionnaire on Inland Waters serves as an important data source for the indicator. &nbsp;Progress reports are published every three years and global, regional, and country estimates are updated routinely. &nbsp;Progress reports, a data portal, methodological details, and country files can be found on the SDG Indicator 6.3.1 website.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Data source(s)</strong>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Funstats.un.org%2Funsd%2Fenvstats%2Fcountry_files&data=05%7C02%7CMauro.MIGOTTO%40oecd.org%7C7ea6f3f805c54ac71c0c08dd7781736f%7Cac41c7d41f61460db0f4fc925a2b471c%7C0%7C0%7C638798120182570804%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E%2FXVio6Cf2tDv%2BRanuzY26iQlBGt4T6OqmiKPZ5%2F1Xg%3D&reserved=0">https://unstats.un.org/unsd/envstats/country_files</a>))</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Dataset release date</strong>: August 7, 2026</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p><span style='font-size:16px;line-height:115%;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Generation%20and%20discharge%20of%20wastewater%2C%20Country%20metadata.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></span></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Cette base de donn&eacute;es montre la production, le traitement et les rejets d&apos;eaux us&eacute;es, par source et en termes de volumes et de demande biochimique en oxyg&egrave;ne (BOD) et de demande chimique en oxyg&egrave;ne (COD).</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>ONU-Habitat, l&apos;OMS et la DSNU sont les co-responsables de l&apos;indicateur 6.3.1 de l&apos;ODD;. &nbsp;Le questionnaire commun Eurostat/OCDE sur les eaux int&eacute;rieures constitue une importante source de donn&eacute;es pour cet indicateur. &nbsp;Les rapports d&apos;avancement sont publi&eacute;s tous les trois ans et les estimations mondiales, r&eacute;gionales et nationales sont r&eacute;guli&egrave;rement mises &agrave; jour. &nbsp;Les rapports d&apos;avancement, un portail de donn&eacute;es, des d&eacute;tails m&eacute;thodologiques et des fichiers nationaux sont disponibles sur le site web de l&apos;indicateur 6.3.1 des ODD.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Date de publication de la base de donn&eacute;es</strong> : 7 Ao&ucirc;t 2026</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Generation%20and%20discharge%20of%20wastewater%2C%20Country%20metadata.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true MEASURE LAYOUT_ROW ACTIVITY LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED SUPPLY_USE=SUPPLY,TIME_PERIOD_START=2021,REF_AREA=AUS,ACTIVITY=_T DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Water accounts - supply and use Comptes de l'eau - ressources et des emplois <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Water flow accounts describe flows of water, in physical units, encompassing the initial abstraction of water resources from the environment into the economy, to the water flows within the economy in the form of supply and use by industries and households, and finally, flows of water back to the environment.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Physical supply and use tables can be compiled at various levels of detail, depending on the required policy and analytical focus and data availability. A basic PSUT for water contains information on the supply and use of water and provides an overview of water flows. The PSUT is divided into five sections which organize information on (a) abstraction of water from the environment; (b) distribution and use of abstracted water across enterprises and households; (c) flows of wastewater and reused water (between households and enterprises); (d) return flows of water to the environment; and (e) evaporation, transpiration and water incorporated into products.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 15, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/WATER%20PHYSICAL%20SUPPLY%20AND%20USE%20TABLES%20METADATA.pdf"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les comptes de flux d&apos;eau d&eacute;crivent les flux d&apos;eau, en unit&eacute;s physiques, englobant l&apos;extraction initiale des ressources en eau de l&apos;environnement vers l&apos;&eacute;conomie, les flux d&apos;eau au sein de l&apos;&eacute;conomie sous la forme d&apos;approvisionnement et d&apos;utilisation par les industries et les m&eacute;nages, et enfin les flux d&apos;eau retournant &agrave; l&apos;environnement.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Les tableaux physiques des ressources et des emplois peuvent &ecirc;tre compil&eacute;s &agrave; diff&eacute;rents niveaux de d&eacute;tail, en fonction de l&apos;orientation politique et analytique requise et de la disponibilit&eacute; des donn&eacute;es. Un PSUT de base pour l&apos;eau contient des informations sur l&apos;approvisionnement et l&apos;utilisation de l&apos;eau et fournit une vue d&apos;ensemble des flux d&apos;eau. Le PSUT est divis&eacute; en cinq sections qui organisent les informations sur (a) le pr&eacute;l&egrave;vement d&apos;eau dans l&apos;environnement ; (b) la distribution et l&apos;utilisation de l&apos;eau pr&eacute;lev&eacute;e par les entreprises et les m&eacute;nages ; (c) les flux d&apos;eaux us&eacute;es et d&apos;eau r&eacute;utilis&eacute;e (entre les m&eacute;nages et les entreprises) ; (d) les flux de retour de l&apos;eau dans l&apos;environnement ; et (e) l&apos;&eacute;vaporation, la transpiration et l&apos;eau incorpor&eacute;e dans les produits.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 15 Avril 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/WATER%20PHYSICAL%20SUPPLY%20AND%20USE%20TABLES NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED PERIOD=LTAA,TIME_PERIOD_START=2015,REF_AREA=AUS,MEASURE=AQUIFER_RESOU+EVAP_RESOU+IN_RESOU+INTERN_RESOU+OUT_RESOU+OUT_NEI_RESOU+OUT_SEA_RESOU+PREC_RESOU+RENEW_RESOU DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - resources Eau douce - ressources <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>This dataset shows countries&rsquo; freshwater resources, and their cycles, both annually and long-term averages. &nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Data source(s)</strong>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Funstats.un.org%2Funsd%2Fenvstats%2Fcountry_files&data=05%7C02%7CMauro.MIGOTTO%40oecd.org%7C7ea6f3f805c54ac71c0c08dd7781736f%7Cac41c7d41f61460db0f4fc925a2b471c%7C0%7C0%7C638798120182570804%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=E%2FXVio6Cf2tDv%2BRanuzY26iQlBGt4T6OqmiKPZ5%2F1Xg%3D&reserved=0">https://unstats.un.org/unsd/envstats/country_files</a>))</p> <p <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong>: <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Dataset release date</strong>: August 7, 2026</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Metadata%20IW%20RESOURCES.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>Cette base de donn&eacute;es montre les ressources en eau douce et leurs cycle, par ann&eacute;e et par moyenne &agrave; long terme.</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><strong>Date de publication de la base de donn&eacute;es</strong> : 7 Ao&ucirc;t 2026</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'>&nbsp;</p> <p style='margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:115%;font-size:16px;font-family:"Aptos",sans-serif;'><a href="https://webfs-env.oecd.org/files/Metadata%20IW%20RESOURCES.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2010 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS Wastewater - connection rates to treatment Eaux usées - taux de raccordement au traitement <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset provides information on the level of public equipment installed by countries to managed and abate water pollution. It shows the percentage of national population connected to &quot;public&quot; sewerage networks and related treatment facilities, and the percentage of national population connected to &quot;public&quot; wastewater treatment plants, and the degree of treatment. Connected here means actually connected to a wastewater plants through a public sewage network. When analysing these data, it should be kept in mind that the optimal connection rate is not necessarily 100%. It may vary among countries and depends on geographical features and on the spatial distribution of habitats. The interpretation of those data should take into account some variations in countries&apos; definitions, as reflected in metadata.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: August 7, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/Wastewater%20treatment.%20Countries%20Metadata.pdf"><span style='font-family:"Arial",sans-serif;'>Country metadata - M&eacute;tadonn&eacute;es pays</span></a></span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es fournit des informations sur le niveau d&apos;&eacute;quipements publics existant dans les pays pour g&eacute;rer et lutter contre la pollution de l&apos;eau. Il pr&eacute;sente les pourcentages de population nationale raccord&eacute;e &agrave; un r&eacute;seau d&apos;assainissement collectif et &agrave; des installations de traitement, ainsi que les pourcentages de population nationale raccord&eacute;e &agrave; une station d&apos;&eacute;puration collective et le degr&eacute; de traitement. Raccord&eacute;e signifie effectivement connect&eacute;e &agrave; une station d&apos;&eacute;puration &agrave; travers un r&eacute;seau public d&apos;assainissement. En analysant ces donn&eacute;es il faut garder &agrave; l&apos;esprit que le taux optimal de connexion n&apos;est pas n&eacute;cessairement de 100%. Il peut varier d&apos;un pays &agrave; l&apos;autre et d&eacute;pend des caract&eacute;ristiques g&eacute;ographiques et de la distribution spatiale des habitats. L&apos;interpr&eacute;tation de ces donn&eacute;es doit prendre en compte les diff&eacute;rences de d&eacute;finition entre les pays telles que les m&eacute;tadonn&eacute;es le pr&eacute;cisent.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: 7 Ao&ucirc;t 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/Wastewater%20treatment.%20Countries%20Metadata.pdf"><span style='font-family:"Arial",sans-serif;'>Country metadata - M&eacute;tadonn&eacute;es pays</span></a></span></p> NonProductionDataflow true MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN OBS_STATUS=A,FREQ=A NOT_DISPLAYED REF_AREA=AUS,SOURCE=PUBLIC,TIME_PERIOD_START=2015 DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Freshwater - use Eaux douces - utilisation <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents national-level data on water made available for use, by sector. The interpretation of those data should take into account some variations in countries&apos; definitions, as reflected in metadata.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: Joint OECD/Eurostat questionnaire on Inland Waters. Data for non-OECD countries is sourced from UNSD (</span><a href="https://unstats.un.org/unsd/envstats/country_files"><span style='font-family:"Arial",sans-serif;'>https://unstats.un.org/unsd/envstats/country_files</span></a><span style='font-family:"Arial",sans-serif;'>)</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: August 7, 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/Water%20use%20-%20country%20metadata.pdf"><span style='font-family:"Arial",sans-serif;'>Country metadata - M&eacute;tadonn&eacute;es pays</span></a></span></p> <p>Cette base de donn&eacute;es pr&eacute;sente des donn&eacute;es nationales sur l'eau mise &agrave; disposition pour l'utilisation, par secteur. L'interpr&eacute;tation de ces donn&eacute;es doit prendre en compte les diff&eacute;rences de d&eacute;finition entre les pays telles que les m&eacute;tadonn&eacute;es le pr&eacute;cisent.</p> <p><strong>Source(s) de donn&eacute;es</strong> : Questionnaire conjoint OCDE/Eurostat sur les eaux int&eacute;rieures. Les donn&eacute;es pour les pays non-OCDE sont sourc&eacute;es de UNSD (<a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>)</p> <p><strong>Contact</strong> : <a href="mailto:ENV.Stat@oecd.org">ENV.Stat@oecd.org</a></p> <p><strong>Date de publication de la base de donn&eacute;es</strong> : 7 Ao&ucirc;t 2026</p> <p><a href="https://webfs-env.oecd.org/files/Water%20use%20-%20country%20metadata.pdf">Country metadata - M&eacute;tadonn&eacute;es pays</a></p> NonProductionDataflow true REF_AREA LAYOUT_ROW SPECIES LAYOUT_COLUMN OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=THREAT_PERCENT DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Threatened species Espèces menacées <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents the latest data on the state of threatened species, by species type.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>When interpreting these data, it should be borne in mind that the number of species known does not always accurately reflect the number of species in existence and that varying definitions can limit comparability across countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: OECD Annual Quality Assurance (AQA) questionnaire.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><a href="https://webfs-env.oecd.org/files/zThreatened%20species%20country%20notes.pdf"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente les donn&eacute;es les plus r&eacute;centes sur la situation des esp&egrave;ces menac&eacute;es, par type d&apos;esp&egrave;ce.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Lors de l&apos;interpr&eacute;tation de ces donn&eacute;es, il convient de garder &agrave; l&apos;esprit que le nombre d&apos;esp&egrave;ces connues ne refl&egrave;te pas toujours avec pr&eacute;cision le nombre d&apos;esp&egrave;ces existantes et que des d&eacute;finitions diff&eacute;rentes peuvent limiter la comparabilit&eacute; entre les pays.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: Questionnaire Assurance Qualit&eacute; Annuelle (AQA) de l&rsquo;OCDE</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: avril 2026</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><span style='font-size:15px;font-family:"Times New Roman",serif;'><a href="https://webfs-env.oecd.org/files/zThreatened%20species%20country%20notes.pdf"><span style='font-family:"Arial",sans-serif;'>Documentation de la base de donn&eacute;es</span></a></span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'><br></div> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A,UNIT_MULT=0 NOT_DISPLAYED MEASURE=TOTAL,UNIT_MEASURE=KG_PS,ACTIVITY=_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Waste by sector: generation, recovery and recycling Déchets - Déchets par secteur: production, récupération et recyclage <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents data on waste by economic sector, using the major divisions of the International Standard Industrial Classification (ISIC), revision 4.&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD State of the Environment questionnaire on waste for non-EU countries; (ii) EU Waste Framework Directive for EU-countries (available in Eurostat database <a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a>); and (iii) UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (available at: <a href="https://unstats.un.org/unsd/envstats/country_files">https://unstats.un.org/unsd/envstats/country_files</a>) for non-OECD countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-family:"Arial",sans-serif;'>: April 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=34539455-cd8a-4a41-9695-042cd4ce7c0c"><span style='font-family:"Arial",sans-serif;'>Database documentation</span></a></p> </div> Cette base de données présente les quantités de déchets produits par les différents secteurs économiques, selon les grandes catégories de la Classification Internationale Type par Industrie (CITI), révision 4. Source(s) de données : (i) questionnaire de l'OCDE sur l'état de l'environnement concernant pour les pays non membres de l'UE ; (ii) directive-cadre de l'UE sur les déchets pour les pays de l'UE (disponible dans la base de données d'Eurostat https://ec.europa.eu/eurostat/web/environment/database) ; et (iii) UNSD, Country Files from the UNSD/UNEP data collection on environment statistics (disponible à l'adresse suivante : https://unstats.un.org/unsd/envstats/country_files) pour les pays non membres de l'OCDE. Contact : ENV.Stat@oecd.org Date de publication de la base de données : avril 2025 Documentation de la base de données NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN MEASURE,MATERIAL LAYOUT_ROW_SECTION OBS_STATUS=A,FREQ=A NOT_DISPLAYED MEASURE=GEN,UNIT_MEASURE=T,MATERIAL=PLASTIC DEFAULT UNIT_MEASURE,UNIT_MULT UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Waste - Selected waste streams: generation, recovery and recycling Déchets - Flux de déchets sélectionnés: production, récupération et recyclage <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>This dataset presents the generation, recovery and recycling of selected waste streams. It includes all waste generated, i.e. household and other municipal waste, waste handled by the scrapping industry and other waste. Waste collected for recycling by private sources should be included. Waste material undergoing internal recycling, i.e. directly at the place of generation, is excluded.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Data source(s)</span></strong><span style='font-family:"Arial",sans-serif;'>: (i) OECD State of the environment questionnaire for non-European countries and (ii) Eurostat database (<a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a>) for EU countries.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>Dataset release date</span></strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>: May 6, 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7afb4414-b413-42f3-ad15-5c86532eab4b ">Database documentation</a></span></p> </div> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>Cette base de donn&eacute;es pr&eacute;sente la production, la valorisation et le recyclage de certains flux de d&eacute;chets. Il comprend tous les d&eacute;chets produits, c&apos;est-&agrave;-dire les d&eacute;chets m&eacute;nagers et autres d&eacute;chets municipaux, les d&eacute;chets trait&eacute;s par l&apos;industrie de la ferraille et les autres d&eacute;chets. Les d&eacute;chets collect&eacute;s pour le recyclage par des sources priv&eacute;es doivent &ecirc;tre inclus. Les d&eacute;chets faisant l&apos;objet d&apos;un recyclage interne, c&apos;est-&agrave;-dire directement sur le lieu de production, sont exclus.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Source(s) de donn&eacute;es</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;: (i) Questionnaire OCDE sur l&rsquo;&rsquo;etat de l&rsquo;environnement pour les pays non-europ&eacute;ens et (ii) base de donn&eacute;es Eurostat (</span><span style='font-family:"Arial",sans-serif;'><a href="https://ec.europa.eu/eurostat/web/environment/database">https://ec.europa.eu/eurostat/web/environment/database</a></span><span style='font-family:"Arial",sans-serif;'>) pour les pays europ&eacute;ens.</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><strong><span style='font-family:"Arial",sans-serif;'>Contact</span></strong><span style='font-family:"Arial",sans-serif;'>&nbsp;:&nbsp;</span><a href="mailto:ENV.Stat@oecd.org"><span style='font-family:"Arial",sans-serif;'>ENV.Stat@oecd.org</span></a><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <p><strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>Date de publication de la base de donn&eacute;es</span></strong><span style='font-size:15px;font-family:"Arial",sans-serif;'>&nbsp;: 6 mai 2025</span></p> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;'><span style='font-family:"Arial",sans-serif;'>&nbsp;</span></p> <div style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;border-bottom:solid windowtext 1.0pt;padding:0cm 0cm 1.0pt 0cm;'> <p style='margin:0cm;text-align:justify;font-size:15px;font-family:"Times New Roman",serif;border:none;padding:0cm;'><span style='font-family:"Arial",sans-serif;'><a href="https://stats.oecd.org/wbos/fileview2.aspx?IDFile=7afb4414-b413-42f3-ad15-5c86532eab4b ">Database documentation</a></span></p> </div> NonProductionDataflow true MEASURE,EFF_CAT LAYOUT_ROW JURISDICTION,TIME_PERIOD,ASSESS_BODY LAYOUT_ROW_SECTION OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=EXECSUMKF+EXECSUMPA DEFAULT JURISDICTION:OECD.FATF:HCL_JURISDICTION(1.5).H HIER_CONTEXT Effectiveness text - 4th round (2013 Methodology) Texte sur l'efficacité - 4ème cycle (méthodologie de 2013) <em style="font-size: 13px;font-color: #A9A9A9; ">The confidentiality of FATF documents, their protection, and their non-disclosure are crucial to the FATF being able to fulfil its mandate. FATF meetings – in line with the organisation’s mandate to combat money-laundering, terrorist financing, and the financing of proliferation of weapons of mass destruction and the consequent nature of its work and discussions – are private and confidential. The documents, discussions and correspondence relating to them, are shared with delegates in strict confidence, for use solely in accordance with the FATF mandate, and should be protected as such and not disclosed. By viewing or downloading this dataset, you agree to respect the confidentiality of the information shared and to take all appropriate measures to ensure the documents, discussions and correspondence are not disclosed to any third parties. </em> <div> <p>The Mutual Evaluation Report database on <strong>risk, context and effectiveness</strong> includes, for each jurisdiction, texts from the 4^th round mutual evaluations, which is based on the <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">2013 FATF assessment methodology</a>.</p> <p> <strong>Please note:</strong> <ul> <li>Countries' text may appear more than once if they are a member of multiple regional bodies.</li> <li>Several countries' MER text did not differentiate the text by core issue. In such instances, text is duplicated under each core issue.</li> </ul> </p> <strong>Data is available on the following:</strong> <ul> <li> <div>Executive summary <ul> <li>Executive summary - Key findings</li> <li>Executive summary - Priority actions</li> </ul> </div> </li> <li> <div>ML, TF, PF Risks and context <ul> <li>ML/TF risks and context introduction</li> <li>ML/TF risks and scoping of higher-risk issues</li> <li>Materiality</li> <li>Structural elements</li> <li>Background and other contextual factors</li> <li>Overview of AML/CFT strategy</li> <li>Overview of the legal & institutional framework</li> <li>Overview of financial sector and DNFBPs</li> <li>Overview of preventive measures</li> <li>Overview of legal persons and arrangements</li> <li>Overview of supervisory arrangements</li> <li>Overview of international cooperation</li> </ul> </div> </li> <li> <div>Chapter contents <ul> <li>Immediate outcomes</li> <li>Key findings</li> <li>Recommended actions</li> <li>Core issues</li> <li>Conclusions</li> </ul> </div> </li> </ul> </div> <em style="font-size: 13px;font-color: #A9A9A9; ">La confidentialité des documents du GAFI, leur protection et leur non-divulgation sont essentielles au GAFI pour remplir son mandat. Les réunions du GAFI, conformément au mandat de l'organisation de lutter contre le blanchiment des capitaux, le financement du terrorisme et le financement de la prolifération des armes de destruction massive, et compte tenu de la nature de ses travaux et de ses discussions, sont privées et confidentielles. Les documents, les discussions et la correspondance s'y rapportant sont communiqués aux délégués à titre strictement confidentiel, pour être utilisés conformément au mandat du GAFI et doivent être protégés en tant que tels et ne pas être divulgués. En téléchargeant cette base de données, vous vous engagez à respecter la confidentialité des informations partagées et à prendre toutes les mesures appropriées pour garantir que les documents, discussions et correspondances ne soient pas divulgués à des tiers.</em> <div> <p>La base de données des rapports d'évaluation mutuelle relative aux <strong>risques, au contexte et à l'efficacité</strong> inclut, pour chaque juridiction, des extraits des rapports d'évaluation du 4^e cycle d’évaluations mutuelles, basé sur la <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">méthodologie d’évaluation du GAFI de 2013</a>.</p> <p> <strong>Veuillez noter :</strong> <ul> <li>Le texte relatif à certains pays peut apparaître plusieurs fois s’ils sont membres de plusieurs organismes régionaux.</li> <li>Le texte des rapports d’évaluation mutuelle de plusieurs pays ne distingue pas le texte par enjeu fondamental. Dans ce cas, le texte est dupliqué.</li> </ul> </p> <strong>Les données suivantes sont disponibles :</strong> <ul> <li> <div>Résumé exécutif <ul> <li>Résumé exécutif - Principales conclusions</li> <li>Résumé exécutif - Actions prioritaires</li> </ul> </div> </li> <li> <div>Risques et contexte de BC, FT et FP <ul> <li>Introduction aux risques et au contexte de BC/FT</li> <li>Risques de BC/FT et délimitation des enjeux présentant un risque plus élevé</li> <li>Matérialité</li> <li>Éléments structurels</li> <li>Contexte général et autres facteurs contextuels</li> <li>Vue d’ensemble de la stratégie LCB/FT</li> <li>Vue d’ensemble du cadre juridique et institutionnel</li> <li>Vue d’ensemble du secteur financier et des EPNFD</li> <li>Vue d’ensemble des mesures préventives</li> <li>Vue d’ensemble des personnes morales et des constructions juridiques</li> <li>Vue d’ensemble des dispositifs de supervision</li> <li>Vue d’ensemble de la coopération internationale</li> </ul> </div> </li> <li> <div>Contenu du chapitre <ul> <li>Résultats immédiats</li> <li>Principales conclusions</li> <li>Actions recommandées</li> <li>Enjeux fondamentaux</li> <li>Conclusions</li> </ul> </div> </li> </ul> </div> NonProductionDataflow true MEASURE,EFF_CAT LAYOUT_ROW JURISDICTION,TIME_PERIOD,ASSESS_BODY LAYOUT_ROW_SECTION OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2010,MEASURE=EXECSUMKF+KRA_ROADMAP DEFAULT JURISDICTION:OECD.FATF:HCL_JURISDICTION(1.5).H HIER_CONTEXT Effectiveness text - 5th round (2022 Methodology) Texte sur l'efficacité - 5ème cycle (méthodologie de 2022) <em style="font-size: 13px;font-color: #A9A9A9; ">The confidentiality of FATF documents, their protection, and their non-disclosure are crucial to the FATF being able to fulfil its mandate. FATF meetings – in line with the organisation’s mandate to combat money-laundering, terrorist financing, and the financing of proliferation of weapons of mass destruction and the consequent nature of its work and discussions – are private and confidential. The documents, discussions and correspondence relating to them, are shared with delegates in strict confidence, for use solely in accordance with the FATF mandate, and should be protected as such and not disclosed. By viewing or downloading this dataset, you agree to respect the confidentiality of the information shared and to take all appropriate measures to ensure the documents, discussions and correspondence are not disclosed to any third parties. </em> <div> <p>The Mutual Evaluation Report database on <strong>risk, context and effectiveness</strong> includes, for each jurisdiction, texts from the 5^th round mutual evaluations, which is based on the <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">2022 FATF assessment methodology</a>.</p> <p> <strong>Please note:</strong> <ul> <li>Countries' text may appear more than once if they are a member of multiple regional bodies.</li> <li>Several countries' MER text did not differentiate the text by core issue. In such instances, text is duplicated under each core issue.</li> </ul> </p> <strong>Data is available on the following:</strong> <ul> <li> <div>Executive summary <ul> <li>Executive summary - Key findings</li> <li>Executive summary - Risks and General Situation</li> <li>Executive summary per IO</li> </ul> </div> </li> </li> <li><div>Roadmap of key recommended actions (KRAs)</div> </li> <li> <div>ML, TF, PF Risks and context <ul> <li>Risks and context introduction</li> <li>Overview of ML, TF, PF risks</li> <li>Country's risk assessment and scoping of higher-risk issues</li> <li>Materiality introduction</li> <li>Financial sector, VASP, DNFBP materiality</li> <li>Legal persons and arrangements materiality</li> <li>Structural elements</li> <li>Background and other contextual factors introduction</li> <li>Overview of AML/CFT strategy</li> <li>Overview of the legal & institutional framework</li> <li>Overview of preventive measures</li> <li>Overview of supervisory arrangements</li> <li>Overview of international cooperation</li> </ul> </div> <li><div>Chapter contents</li> <ul> <li>Immediate outcomes</li> <li>Key findings</li> <li>Introduction</li> <li>Key recommended actions</li> <li>Other recommended actions</li> <li>Core issues</li> <li>Conclusions</li> </ul> </div> </li> </ul> </div> <em style="font-size: 13px;font-color: #A9A9A9; ">La confidentialité des documents du GAFI, leur protection et leur non-divulgation sont essentielles au GAFI pour remplir son mandat. Les réunions du GAFI, conformément au mandat de l'organisation de lutter contre le blanchiment des capitaux, le financement du terrorisme et le financement de la prolifération des armes de destruction massive, et compte tenu de la nature de ses travaux et de ses discussions, sont privées et confidentielles. Les documents, les discussions et la correspondance s'y rapportant sont communiqués aux délégués à titre strictement confidentiel, pour être utilisés conformément au mandat du GAFI et doivent être protégés en tant que tels et ne pas être divulgués. En téléchargeant cette base de données, vous vous engagez à respecter la confidentialité des informations partagées et à prendre toutes les mesures appropriées pour garantir que les documents, discussions et correspondances ne soient pas divulgués à des tiers.</em> <div> <p>La base de données des rapports d'évaluation mutuelle relative aux <strong>risques, au contexte et à l'efficacité</strong> inclut, pour chaque juridiction, des extraits des rapports d'évaluation du 5^e cycle d’évaluations mutuelles, basé sur la <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">méthodologie d’évaluation du GAFI de 2022</a>.</p> <p> <strong>Veuillez noter :</strong> <ul> <li>Le texte relatif à certains pays peut apparaître plusieurs fois s’ils sont membres de plusieurs organismes régionaux.</li> <li>Le texte des rapports d’évaluation mutuelle de plusieurs pays ne distingue pas le texte par enjeu fondamental. Dans ce cas, le texte est dupliqué.</li> </ul> </p> <strong>Les données suivantes sont disponibles :</strong> <ul> <li> <div>Résumé exécutif <ul> <li>Principales conclusions</li> <li>Risques et situation générale</li> <li>Résumé exécutif par résultat immédiat (RI)</li> </ul> </div> </li> <li> <div>Risques de BC, de FT et de FP et délimitation des enjeux présentant un risque plus élevé <ul> <li>Introduction aux risques et au contexte</li> <li>Vue d’ensemble des risques de BC, de FT et de FP</li> <li>Évaluation des risques du pays et délimitation des enjeux présentant un risque plus élevé</li> <li>Introduction à la matérialité</li> <li>Matérialité du secteur financier, des PSAV et des EPNFD</li> <li>Matérialité des personnes morales et des constructions juridiques</li> <li>Éléments structurels</li> <li>Introduction au contexte général et aux autres facteurs contextuels</li> <li>Vue d’ensemble de la stratégie LCB/FT</li> <li>Vue d’ensemble du cadre juridique et institutionnel</li> <li>Vue d’ensemble des mesures préventives</li> <li>Vue d’ensemble des dispositifs de supervision</li> <li>Vue d’ensemble de la coopération internationale</li> </ul> </div> </li> <li> <div>Contenu des chapitres <ul> <li>Résultats immédiats</li> <li>Principales conclusions</li> <li>Introduction</li> <li>Principales actions recommandées</li> <li>Autres actions recommandées</li> <li>Enjeux fondamentaux</li> <li>Conclusions</li> </ul> </div> </li> </ul> </div> NonProductionDataflow true JURISDICTION,TIME_PERIOD,ASSESS_BODY LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_REPORT LAYOUT_FLAG DD_DIM,DD_ID,REPORT_URL,OBS_STATUS=A,OBS_REPORT=MER+MER_PREV NOT_DISPLAYED TIME_PERIOD_START=2014-01,DD_DIM=_T,JURISDICTION=AUT+BEL+DNK+FIN+FRA+DEU+GRC+IRL+ITA+LUX+NLD+PRT+ESP+SWE+SAU+ARG+AUS+BRA+CAN+CHN+HKG+ISL+IND+IDN+ISR+JPN+MYS+MEX+NZL+NOR+KOR+RUS+SGP+ZAF+CHE+TUR+GBR+USA,REPORT=MER_FUR DEFAULT JURISDICTION:OECD.FATF:HCL_JURISDICTION(1.5).H HIER_CONTEXT DD_DIM DRILLDOWN JURISDICTION,CORE_ISSUES,CORE_ISSUES_TEXT,OBS_VALUE DRILLDOWN_CONCEPTS Effectiveness Ratings - 4th round (2013 Methodology) Tableau des notations sur l'efficacité - 4ème cycle (méthodologie de 2013) <em style="font-size: 13px;font-color: #A9A9A9; ">The confidentiality of FATF documents, their protection, and their non-disclosure are crucial to the FATF being able to fulfil its mandate. FATF meetings – in line with the organisation’s mandate to combat money-laundering, terrorist financing, and the financing of proliferation of weapons of mass destruction and the consequent nature of its work and discussions – are private and confidential. The documents, discussions and correspondence relating to them, are shared with delegates in strict confidence, for use solely in accordance with the FATF mandate, and should be protected as such and not disclosed. By viewing or downloading this dataset, you agree to respect the confidentiality of the information shared and to take all appropriate measures to ensure the documents, discussions and correspondence are not disclosed to any third parties. </em> <div> <p> Report indicators include text on FATF effectiveness from the 4^th round mutual evaluations, , which is based on the <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">2013 FATF assessment methodology.</a> </p> <p> <strong>Please note:</strong> <ul> <li>Countries' text may appear more than once if they are a member of multiple regional bodies.</li> <li>Several countries' MER text did not differentiate the text by core issue. In such instances, text is duplicated.</li> </ul> Clicking into each rating will provide a breakdown of the corresponding core issue text. </p> <p><strong>Legend:</strong></p> <ul> <li><strong>HE</strong> – High effectiveness</li> <li><strong>SE</strong> – Substantial effectiveness</li> <li><strong>ME</strong> – Moderate effectiveness</li> <li><strong>LE</strong> – Low effectiveness</li> </ul> </div> <p><strong>Data is available on the following immediate outcomes of effectiveness:</strong></p> <ul> <li>IO1: Risk Assessment and coordination</li> <li>IO2: International cooperation against criminals and their assets</li> <li>IO3: Supervision of financial institutions for AML/CFT compliance</li> <li>IO4: Application of preventive measures for FIs/DNFBPs</li> <li>IO5: Prevention of misuse of legal entities</li> <li>IO6: Use of financial intelligence in investigations</li> <li>IO7: Investigation and prosecution of money laundering</li> <li>IO8: Confiscation of crime proceeds</li> <li>IO9: Investigation and prosecution of terrorist financing</li> <li>IO10: Prevention of terrorist financing and abuse of NPO sector</li> <li>IO11: Prevention of weapons of mass destruction proliferation financing</li> </ul> <em style="font-size: 13px;font-color: #A9A9A9; ">La confidentialité des documents du GAFI, leur protection et leur non-divulgation sont essentielles au GAFI pour remplir son mandat. Les réunions du GAFI, conformément au mandat de l'organisation de lutter contre le blanchiment des capitaux, le financement du terrorisme et le financement de la prolifération des armes de destruction massive, et compte tenu de la nature de ses travaux et de ses discussions, sont privées et confidentielles. Les documents, les discussions et la correspondance s'y rapportant sont communiqués aux délégués à titre strictement confidentiel, pour être utilisés conformément au mandat du GAFI et doivent être protégés en tant que tels et ne pas être divulgués. En téléchargeant cette base de données, vous vous engagez à respecter la confidentialité des informations partagées et à prendre toutes les mesures appropriées pour garantir que les documents, discussions et correspondances ne soient pas divulgués à des tiers.</em> <div> <p>Le tableau des notations relatif à l'efficacité inclut pour chaque pays des extraits du rapport d'évaluation pour le 4^e cycle d’évaluations mutuelles, basé sur <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html"> la méthodologie d’évaluation du GAFI de 2013. </a> </p> <p> <strong>Veuillez noter:</strong> <ul> <li>Le texte relatif à certains pays peut apparaître plusieurs fois s’ils sont membres de plusieurs organismes régionaux.</li> <li>Le texte des rapports d’évaluation mutuelle de plusieurs pays ne distingue pas le texte par enjeu fondamental. Dans ce cas, le texte est dupliqué.</li> </ul> En cliquant sur une notation, vous obtiendrez le texte de chacun des enjeux fondamentaux correspondant au résultat immédiat sélectionné. </p> <p><strong>Légende :</strong></p> <ul> <li><strong>HE</strong> – Efficacité élevée</li> <li><strong>SE</strong> – Efficacité substantielle</li> <li><strong>ME</strong> – Efficacité modérée</li> <li><strong>LE</strong> – Faible efficacité</li> </ul> </div> <p><strong>Les données sont disponibles pour les résultats immédiats d’efficacité suivants :</strong></p> <ul> <li>RI1 : Évaluation des risques et coordination</li> <li>RI2 : Coopération internationale contre les criminels et leurs avoirs</li> <li>RI3 : Supervision des institutions financières en matière de conformité LBC/FT</li> <li>RI4 : Application des mesures préventives par les IF/EPNFD</li> <li>RI5 : Prévention de l’utilisation abusive des personnes morales</li> <li>RI6 : Utilisation du renseignement financier dans les enquêtes</li> <li>RI7 : Enquêtes et poursuites en matière de blanchiment de capitaux</li> <li>RI8 : Confiscation des produits du crime</li> <li>RI9 : Enquêtes et poursuites en matière de financement du terrorisme</li> <li>RI10 : Prévention du financement du terrorisme et de l’abus du secteur des OSBL</li> <li>RI11 : Prévention du financement de la prolifération des armes de destruction massive</li> </ul> NonProductionDataflow true JURISDICTION,TIME_PERIOD,ASSESS_BODY LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_REPORT LAYOUT_FLAG DD_DIM,DD_ID,REPORT_URL,OBS_STATUS=A,OBS_REPORT=MER+MER_PREV NOT_DISPLAYED TIME_PERIOD_START=2014-01,DD_DIM=_T,JURISDICTION=BEL+MYS+LVA+SRB+ITA+SGP+AUT,REPORT=MER_FUR DEFAULT JURISDICTION:OECD.FATF:HCL_JURISDICTION(1.5).H HIER_CONTEXT DD_DIM DRILLDOWN JURISDICTION,CORE_ISSUES,CORE_ISSUES_TEXT,OBS_VALUE DRILLDOWN_CONCEPTS Effectiveness Ratings - 5th round (2022 Methodology) Tableau des notations sur l'efficacité - 5ème cycle (méthodologie de 2022) <em style="font-size: 13px;font-color: #A9A9A9; ">The confidentiality of FATF documents, their protection, and their non-disclosure are crucial to the FATF being able to fulfil its mandate. FATF meetings – in line with the organisation’s mandate to combat money-laundering, terrorist financing, and the financing of proliferation of weapons of mass destruction and the consequent nature of its work and discussions – are private and confidential. The documents, discussions and correspondence relating to them, are shared with delegates in strict confidence, for use solely in accordance with the FATF mandate, and should be protected as such and not disclosed. By viewing or downloading this dataset, you agree to respect the confidentiality of the information shared and to take all appropriate measures to ensure the documents, discussions and correspondence are not disclosed to any third parties. </em> <div> <p>Report indicators include text on FATF effectiveness from the 5^th round mutual evaluations, which is based on the 2022 <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">FATF assessment methodology.</a></p> <p> <strong>Please note:</strong> <ul> <li>Countries' text may appear more than once if they are a member of multiple regional bodies.</li> <li>Several countries' MER text did not differentiate the text by core issue. In such instances, text is duplicated.</li> </ul> Data is available on the following immediate outcomes of effectiveness:<br> Clicking into each rating will provide a breakdown of the corresponding core issue text. </p> <p><strong>Legend:</strong></p> <ul> <li><strong>HE</strong> – High effectiveness</li> <li><strong>SE</strong> – Substantial effectiveness</li> <li><strong>ME</strong> – Moderate effectiveness</li> <li><strong>LE</strong> – Low effectiveness</li> </ul> </div> <ul> <li>IO1: Assessment of risk, coordination and policy setting</li> <li>IO2: International co-operation</li> <li>IO3: Financial sector and virtual asset supervision and preventive measures</li> <li>IO4: Non-financial sector supervision and preventive measures</li> <li>IO5: Transparency and beneficial ownership</li> <li>IO6: Financial intelligence</li> <li>IO7: Money laundering investigations and prosecutions</li> <li>IO8: Asset recovery</li> <li>IO9: Terrorist financing investigations and prosecutions</li> <li>IO10: Terrorist financing preventive measures and financial sanctions</li> <li>IO11: Proliferation financing financial sanction</li> </ul> <em style="font-size: 13px;font-color: #A9A9A9; ">La confidentialité des documents du GAFI, leur protection et leur non-divulgation sont essentielles au GAFI pour remplir son mandat. Les réunions du GAFI, conformément au mandat de l'organisation de lutter contre le blanchiment des capitaux, le financement du terrorisme et le financement de la prolifération des armes de destruction massive, et compte tenu de la nature de ses travaux et de ses discussions, sont privées et confidentielles. Les documents, les discussions et la correspondance s'y rapportant sont communiqués aux délégués à titre strictement confidentiel, pour être utilisés conformément au mandat du GAFI et doivent être protégés en tant que tels et ne pas être divulgués. En téléchargeant cette base de données, vous vous engagez à respecter la confidentialité des informations partagées et à prendre toutes les mesures appropriées pour garantir que les documents, discussions et correspondances ne soient pas divulgués à des tiers.</em> <div> <p>Le tableau des notations relatif à l'efficacité inclut pour chaque pays des extraits du rapport d'évaluation pour le 5^e cycle d’évaluations mutuelles, basé sur <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html"> la méthodologie d’évaluation du GAFI de 2022. </a></p> <p> <strong>Veuillez noter:</strong> <ul> <li>Le texte relatif à certains pays peut apparaître plusieurs fois s’ils sont membres de plusieurs organismes régionaux.</li> <li>Le texte des rapports d’évaluation mutuelle de plusieurs pays ne distingue pas le texte par enjeu fondamental. Dans ce cas, le texte est dupliqué.</li> </ul> En cliquant sur une notation, vous obtiendrez le texte de chacun des enjeux fondamentaux correspondant au résultat immédiat sélectionné. </p> <p><strong>Légende :</strong></p> <ul> <li><strong>HE</strong> – Efficacité élevée</li> <li><strong>SE</strong> – Efficacité substantielle</li> <li><strong>ME</strong> – Efficacité modérée</li> <li><strong>LE</strong> – Faible efficacité</li> </ul> </div> <p><strong>Les données sont disponibles pour les résultats immédiats d’efficacité suivants :</strong></p> <ul> <li>RI1 : Évaluation des risques et coordination</li> <li>RI2 : Coopération internationale contre les criminels et leurs avoirs</li> <li>RI3 : Supervision des institutions financières en matière de conformité LBC/FT</li> <li>RI4 : Application des mesures préventives par les IF et les EPNFD</li> <li>RI5 : Prévention de l’utilisation abusive des personnes morales</li> <li>RI6 : Utilisation du renseignement financier dans les enquêtes</li> <li>RI7 : Enquêtes et poursuites en matière de blanchiment de capitaux</li> <li>RI8 : Confiscation des produits du crime</li> <li>RI9 : Enquêtes et poursuites en matière de financement du terrorisme</li> <li>RI10 : Prévention du financement du terrorisme et de l’abus du secteur des OSBL</li> <li>RI11 : Prévention du financement de la prolifération des armes de destruction massive</li> </ul> NonProductionDataflow true JURISDICTION,TIME_PERIOD,ASSESS_BODY LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_REPORT LAYOUT_FLAG DD_DIM,DD_ID,REPORT_URL,OBS_STATUS=A,OBS_REPORT=MER+MER_PREV NOT_DISPLAYED TIME_PERIOD_START=2014-01,DD_DIM=_T,JURISDICTION=BEL+MYS+LVA+SRB+ITA+SGP+AUT+ARM+SVN,REPORT=MER_FUR DEFAULT JURISDICTION:OECD.FATF:HCL_JURISDICTION(1.5).H HIER_CONTEXT DD_DIM DRILLDOWN JURISDICTION,CRITERIA,CRITERIA_TEXT,OBS_VALUE DRILLDOWN_CONCEPTS Technical Compliance Ratings - 5th round (2022 Methodology) - Public version Tableau des notations sur la conformité technique - 5ème cycle (méthodologie de 2022) - Version publique <em style="font-size: 13px;font-color: #A9A9A9; ">The confidentiality of FATF documents, their protection, and their non-disclosure are crucial to the FATF being able to fulfil its mandate. FATF meetings – in line with the organisation’s mandate to combat money-laundering, terrorist financing, and the financing of proliferation of weapons of mass destruction and the consequent nature of its work and discussions – are private and confidential. The documents, discussions and correspondence relating to them, are shared with delegates in strict confidence, for use solely in accordance with the FATF mandate, and should be protected as such and not disclosed. By viewing or downloading this dataset, you agree to respect the confidentiality of the information shared and to take all appropriate measures to ensure the documents, discussions and correspondence are not disclosed to any third parties. </em> <div> <p>Report indicators include text on FATF technical compliance from the 5^th round mutual evaluations, which is based on the 2022 <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">FATF assessment methodology.</a></p> <p> <strong>Please note:</strong> <ul> <li>The technical compliance ratings shown in this table are the ratings at the time of the MER publication and do not reflect any changes from follow up reports.</li> <li>Countries' text may appear more than once if they are a member of multiple regional bodies.</li> <li>Several countries' MER text did not differentiate the text by criterion. In such instances, text is duplicated.</li> </ul> Data is available on the 40 FATF recommendations:<br> Clicking into each rating will provide a breakdown of the corresponding criterion/criteria text. </p> <p><strong>Legend:</strong></p> <ul> <li><strong>C</strong> – Compliant</li> <li><strong>LC</strong> – Largelly Compliant</li> <li><strong>PC</strong> – Partially Compliant</li> <li><strong>NC</strong> – Non Compliant</li> </ul> <p><strong> Data is available on the 40 FATF recommendations:</strong></p> <ul> <li>R.1 Risk-based approach</li> <li>R.2 National coordination</li> <li>R.3 ML offence</li> <li>R.4 Asset confiscation</li> <li>R.5 TF offence</li> <li>R.6 Terrorism sanctions</li> <li>R.7 Proliferation sanctions</li> <li>R.8 NPOs</li> <li>R.9 FI secrecy laws</li> <li>R.10 CDD</li> <li>R.11 Record-keeping</li> <li>R.12 PEPs</li> <li>R.13 Correspondent banking</li> <li>R.14 MVTS</li> <li>R.15 New technologies</li> <li>R.16 Wire transfers</li> <li>R.17 Third-party reliance</li> <li>R.18 Internal controls</li> <li>R.19 High-risk countries</li> <li>R.20 STR reporting</li> <li>R.21 Tipping-off</li> <li>R.22 DNFBP CDD</li> <li>R.23 DNFBP measures</li> <li>R.24 Legal persons transparency</li> <li>R.25 Legal arrangements transparency</li> <li>R.26 FI supervision</li> <li>R.27 Supervisory powers</li> <li>R.28 DNFBP supervision</li> <li>R.29 FIUs</li> <li>R.30 LEA responsibilities</li> <li>R.31 LEA powers</li> <li>R.32 Cash couriers</li> <li>R.33 AML/CFT statistics</li> <li>R.34 Guidance & feedback</li> <li>R.35 Sanctions</li> <li>R.36 International instruments</li> <li>R.37 MLA</li> <li>R.38 MLA on assets</li> <li>R.39 Extradition</li> <li>R.40 International cooperation</li> </ul> </div> <em style="font-size: 13px;font-color: #A9A9A9;">La confidentialité des documents du GAFI, leur protection et leur non-divulgation sont essentielles au GAFI pour remplir son mandat. Les réunions du GAFI, conformément au mandat de l'organisation de lutter contre le blanchiment des capitaux, le financement du terrorisme et le financement de la prolifération des armes de destruction massive, et compte tenu de la nature de ses travaux et de ses discussions, sont privées et confidentielles. Les documents, les discussions et la correspondance s'y rapportant sont communiqués aux délégués à titre strictement confidentiel, pour être utilisés conformément au mandat du GAFI et doivent être protégés en tant que tels et ne pas être divulgués. En téléchargeant cette base de données, vous vous engagez à respecter la confidentialité des informations partagées et à prendre toutes les mesures appropriées pour garantir que les documents, discussions et correspondances ne soient pas divulgués à des tiers.</em> <p>Le tableau des notations relatif à la conformité technique inclut pour chaque pays des extraits du rapport d'évaluation pour le 5^e cycle d’évaluations mutuelles, basé sur <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html"> la méthodologie d’évaluation du GAFI de 2022. </a></p> <p><strong>Veuillez noter : </strong></p> <ul> <li>Le texte relatif à certains pays peut apparaître plusieurs fois s’ils sont membres de plusieurs organismes régionaux.</li> <li>Le texte des rapports d’évaluation mutuelle de plusieurs pays ne distingue pas le texte par critère. Dans ce cas, le texte est dupliqué.</li> </ul> En cliquant sur chaque notation, vous obtiendrez une ventilation de la recommandation sélectionnée par critère. <p><strong>Légende :</strong></p> <ul> <li><strong>C</strong> – Conforme</li> <li><strong>LC</strong> – Largement conforme</li> <li><strong>PC</strong> – Partiellement conforme</li> <li><strong>NC</strong> – Non conforme</li> </ul> <p><strong>Les données sont disponibles pour les 40 recommandations du GAFI : </strong></p> <ul> <li>R.1 : Approche fondée sur le risque</li> <li>R.2 : Coordination nationale</li> <li>R.3 : Infraction de blanchiment de capitaux</li> <li>R.4 : Confiscation des avoirs</li> <li>R.5 : Infraction de financement du terrorisme</li> <li>R.6 : Sanctions liées au terrorisme</li> <li>R.7 : Sanctions liées à la prolifération</li> <li>R.8 : OSBL</li> <li>R.9 : Secret des institutions financières</li> <li>R.10 : Devoir de vigilance à l’égard de la clientèle</li> <li>R.11 : Conservation des documents</li> <li>R.12 : Personnes politiquement exposées (PPE)</li> <li>R.13 : Relations de correspondance bancaire</li> <li>R.14 : Services de transfert de fonds ou de valeurs</li> <li>R.15 : Nouvelles technologies</li> <li>R.16 : Virements électroniques</li> <li>R.17 : Recours à des tiers</li> <li>R.18 : Contrôles internes</li> <li>R.19 : Pays à haut risque</li> <li>R.20 : Déclaration des opérations suspectes</li> <li>R.21 : Interdiction de divulgation</li> <li>R.22 : Devoir de vigilance des EPNFD</li> <li>R.23 : Mesures applicables aux EPNFD</li> <li>R.24 : Transparence des personnes morales</li> <li>R.25 : Transparence des constructions juridiques</li> <li>R.26 : Supervision des institutions financières</li> <li>R.27 : Pouvoirs des autorités de contrôle</li> <li>R.28 : Supervision des EPNFD</li> <li>R.29 : Cellules de renseignement financier (CRF)</li> <li>R.30 : Responsabilités des autorités répressives</li> <li>R.31 : Pouvoirs des autorités répressives</li> <li>R.32 : Transporteurs de fonds en espèces</li> <li>R.33 : Statistiques LBC/FT</li> <li>R.34 : Lignes directrices et retour d’information</li> <li>R.35 : Sanctions</li> <li>R.36 : Instruments internationaux</li> <li>R.37 : Entraide judiciaire</li> <li>R.38 : Entraide judiciaire portant sur les avoirs</li> <li>R.39 : Extradition</li> <li>R.40 : Coopération internationale</li> </ul> NonProductionDataflow true JURISDICTION,TIME_PERIOD,ASSESS_BODY LAYOUT_ROW MEASURE LAYOUT_COLUMN OBS_REPORT LAYOUT_FLAG DD_DIM,DD_ID,REPORT_URL,OBS_STATUS=A,OBS_REPORT=MER+MER_PREV NOT_DISPLAYED TIME_PERIOD_START=2014-01,DD_DIM=_T,JURISDICTION=AUT+BEL+DNK+FIN+FRA+DEU+GRC+IRL+ITA+LUX+NLD+PRT+ESP+SWE+SAU+ARG+AUS+BRA+CAN+CHN+HKG+ISL+IND+IDN+ISR+JPN+MYS+MEX+NZL+NOR+KOR+RUS+SGP+ZAF+CHE+TUR+GBR+USA,REPORT=MER_FUR DEFAULT JURISDICTION:OECD.FATF:HCL_JURISDICTION(1.5).H HIER_CONTEXT DD_DIM DRILLDOWN JURISDICTION,CRITERIA,CRITERIA_TEXT,OBS_VALUE DRILLDOWN_CONCEPTS Technical Compliance Ratings - 4th round (2013 Methodology) - Public version Tableau des notations sur la conformité technique - 4ème cycle (méthodologie de 2013) - Version publique <em style="font-size: 13px;font-color: #A9A9A9; ">The confidentiality of FATF documents, their protection, and their non-disclosure are crucial to the FATF being able to fulfil its mandate. FATF meetings – in line with the organisation’s mandate to combat money-laundering, terrorist financing, and the financing of proliferation of weapons of mass destruction and the consequent nature of its work and discussions – are private and confidential. The documents, discussions and correspondence relating to them, are shared with delegates in strict confidence, for use solely in accordance with the FATF mandate, and should be protected as such and not disclosed. By viewing or downloading this dataset, you agree to respect the confidentiality of the information shared and to take all appropriate measures to ensure the documents, discussions and correspondence are not disclosed to any third parties. </em> <div> <p> Report indicators include text on FATF technical compliance from the 4^th round mutual evaluations, , which is based on the <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html">2013 FATF assessment methodology.</a></p> <p> <strong>Please note:</strong> <ul> <li>The technical compliance ratings shown in this table are the ratings at the time of the MER publication and do not reflect any changes from follow up reports.</li> <li>Countries' text may appear more than once if they are a member of multiple regional bodies.</li> <li>Several countries' MER text did not differentiate the text by criterion. In such instances, text is duplicated.</li> </ul> Clicking into each rating will provide a breakdown of the corresponding criterion/criteria text. </p> <p><strong>Legend:</strong></p> <ul> <li><strong>C</strong> – Compliant</li> <li><strong>LC</strong> – Largelly Compliant</li> <li><strong>PC</strong> – Partially Compliant</li> <li><strong>NC</strong> – Non Compliant</li> </ul> <p><strong> Data is available on the 40 FATF recommendations:</strong></p> <ul> <li>R.1 Risk-based approach</li> <li>R.2 National coordination</li> <li>R.3 ML offence</li> <li>R.4 Asset confiscation</li> <li>R.5 TF offence</li> <li>R.6 Terrorism sanctions</li> <li>R.7 Proliferation sanctions</li> <li>R.8 NPOs</li> <li>R.9 FI secrecy laws</li> <li>R.10 CDD</li> <li>R.11 Record-keeping</li> <li>R.12 PEPs</li> <li>R.13 Correspondent banking</li> <li>R.14 MVTS</li> <li>R.15 New technologies</li> <li>R.16 Wire transfers</li> <li>R.17 Third-party reliance</li> <li>R.18 Internal controls</li> <li>R.19 High-risk countries</li> <li>R.20 STR reporting</li> <li>R.21 Tipping-off</li> <li>R.22 DNFBP CDD</li> <li>R.23 DNFBP measures</li> <li>R.24 Legal persons transparency</li> <li>R.25 Legal arrangements transparency</li> <li>R.26 FI supervision</li> <li>R.27 Supervisory powers</li> <li>R.28 DNFBP supervision</li> <li>R.29 FIUs</li> <li>R.30 LEA responsibilities</li> <li>R.31 LEA powers</li> <li>R.32 Cash couriers</li> <li>R.33 AML/CFT statistics</li> <li>R.34 Guidance & feedback</li> <li>R.35 Sanctions</li> <li>R.36 International instruments</li> <li>R.37 MLA</li> <li>R.38 MLA on assets</li> <li>R.39 Extradition</li> <li>R.40 International cooperation</li> </ul> </div> <em style="font-size: 13px;font-color: #A9A9A9;">La confidentialité des documents du GAFI, leur protection et leur non-divulgation sont essentielles au GAFI pour remplir son mandat. Les réunions du GAFI, conformément au mandat de l'organisation de lutter contre le blanchiment des capitaux, le financement du terrorisme et le financement de la prolifération des armes de destruction massive, et compte tenu de la nature de ses travaux et de ses discussions, sont privées et confidentielles. Les documents, les discussions et la correspondance s'y rapportant sont communiqués aux délégués à titre strictement confidentiel, pour être utilisés conformément au mandat du GAFI et doivent être protégés en tant que tels et ne pas être divulgués. En téléchargeant cette base de données, vous vous engagez à respecter la confidentialité des informations partagées et à prendre toutes les mesures appropriées pour garantir que les documents, discussions et correspondances ne soient pas divulgués à des tiers.</em> <p>Le tableau des notations relatif à la conformité technique inclut pour chaque pays des extraits du rapport d'évaluation pour le 4^e cycle d’évaluations mutuelles, basé sur <a href="https://www.fatf-gafi.org/en/publications/Mutualevaluations/Fatf-methodology.html"> la méthodologie d’évaluation du GAFI de 2013. </a></p> <p><strong>Veuillez noter : </strong></p> <ul> <li>Le texte relatif à certains pays peut apparaître plusieurs fois s’ils sont membres de plusieurs organismes régionaux.</li> <li>Le texte des rapports d’évaluation mutuelle de plusieurs pays ne distingue pas le texte par critère. Dans ce cas, le texte est dupliqué.</li> </ul> En cliquant sur chaque notation, vous obtiendrez une ventilation de la recommandation sélectionnée par critère. <p><strong>Légende :</strong></p> <ul> <li><strong>C</strong> – Conforme</li> <li><strong>LC</strong> – Largement conforme</li> <li><strong>PC</strong> – Partiellement conforme</li> <li><strong>NC</strong> – Non conforme</li> </ul> <p><strong>Les données sont disponibles pour les 40 recommandations du GAFI : </strong></p> <ul> <li>R.1 : Approche fondée sur le risque</li> <li>R.2 : Coordination nationale</li> <li>R.3 : Infraction de blanchiment de capitaux</li> <li>R.4 : Confiscation des avoirs</li> <li>R.5 : Infraction de financement du terrorisme</li> <li>R.6 : Sanctions liées au terrorisme</li> <li>R.7 : Sanctions liées à la prolifération</li> <li>R.8 : OSBL</li> <li>R.9 : Secret des institutions financières</li> <li>R.10 : Devoir de vigilance à l’égard de la clientèle</li> <li>R.11 : Conservation des documents</li> <li>R.12 : Personnes politiquement exposées (PPE)</li> <li>R.13 : Relations de correspondance bancaire</li> <li>R.14 : Services de transfert de fonds ou de valeurs</li> <li>R.15 : Nouvelles technologies</li> <li>R.16 : Virements électroniques</li> <li>R.17 : Recours à des tiers</li> <li>R.18 : Contrôles internes</li> <li>R.19 : Pays à haut risque</li> <li>R.20 : Déclaration des opérations suspectes</li> <li>R.21 : Interdiction de divulgation</li> <li>R.22 : Devoir de vigilance des EPNFD</li> <li>R.23 : Mesures applicables aux EPNFD</li> <li>R.24 : Transparence des personnes morales</li> <li>R.25 : Transparence des constructions juridiques</li> <li>R.26 : Supervision des institutions financières</li> <li>R.27 : Pouvoirs des autorités de contrôle</li> <li>R.28 : Supervision des EPNFD</li> <li>R.29 : Cellules de renseignement financier (CRF)</li> <li>R.30 : Responsabilités des autorités répressives</li> <li>R.31 : Pouvoirs des autorités répressives</li> <li>R.32 : Transporteurs de fonds en espèces</li> <li>R.33 : Statistiques LBC/FT</li> <li>R.34 : Lignes directrices et retour d’information</li> <li>R.35 : Sanctions</li> <li>R.36 : Instruments internationaux</li> <li>R.37 : Entraide judiciaire</li> <li>R.38 : Entraide judiciaire portant sur les avoirs</li> <li>R.39 : Extradition</li> <li>R.40 : Coopération internationale</li> </ul> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Main indicators, Government at a glance indicators, 2023 edition Principaux indicateurs - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Main indicators, government at a glance indicators, 2025 edition Principaux indicateurs - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0009 SEARCH_WEIGHT Green and Gender budgeting indexes - Government at a glance indicators, 2023 edition Indices de budgétisation verte et sensible au genre - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to green budgeting and gender budgeting. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0020 SEARCH_WEIGHT Digital government and open government data indexes - Government at a glance indicators, 2025 edition Indices de l'administration numérique et des données publiques ouvertes - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to digital government and open government data. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 1.0005 SEARCH_WEIGHT Public employment and representation - Government at a glance indicators, 2023 edition Emploi public et représentation - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the employment of public employees and its representation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 1.0050 SEARCH_WEIGHT Public employment and representation - government at a glance indicators, 2025 edition Emploi public et représentation - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the employment of public employees and its representation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE,SECTOR,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,UNIT_MULT COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure 1.0005 SEARCH_WEIGHT Public employment and representation - government at a glance indicators, yearly updates Emploi public et représentation - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the employment of public employees and its representation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0020 SEARCH_WEIGHT Human resource management indexes - government at a glance indicators, 2025 edition Indices de gestion des ressources humaines - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to human resource management. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_ROW REF_AREA LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.0007 SEARCH_WEIGHT Infrastructure planning and delivery indexes - Government at a glance indicators, 2023 edition Indices de planification et de mise en service des infrastructures - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to governance of infrastructure for stakeholder participation, regulatory framework and permitting procedures, management of threats to integrity, and environmentally sustainable and climate-resilient infrastructure. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT 1.01 SEARCH_WEIGHT Infrastructure planning and delivery indexes - government at a glance indicators, 2025 edition Indices de planification et de mise en service des infrastructures - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to governance of infrastructure for management of asset performance throughout the life cycle and evidence-informed infrastructure decision making in the transport sector. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0006 SEARCH_WEIGHT Public finance main indicators - Government at a glance, 2023 edition Principaux indicateurs des finances publiques - Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public finance under the System of national accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0060 SEARCH_WEIGHT Public finance main indicators - government at a glance, 2025 edition Principaux indicateurs des finances publiques - Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the public finance under the System of national accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0006 SEARCH_WEIGHT Public finance main indicators - government at a glance, yearly updates Principaux indicateurs des finances publiques - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the public finance under the System of national accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE=GPROC,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,MEASURE=GPROC DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0008 SEARCH_WEIGHT Size of public procurement - Government at a glance indicators, 2023 edition Poids des marchés publics - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to the public procurement spending as estimated under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE=GPROC,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,MEASURE=GPROC DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.01 SEARCH_WEIGHT Size of public procurement - government at a glance indicators, 2025 edition Poids des marchés publics - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the public procurement spending as estimated under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE=GPROC,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,MEASURE=GPROC DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0008 SEARCH_WEIGHT Size of public procurement - government at a glance indicators, yearly updates Poids des marchés publics - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the public procurement spending as estimated under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Main indicators, government at a glance indicators, yearly updates Principaux indicateurs - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_OTE_S13+PT_GPROC_S13+PT_OTE_S13_FNC+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0003 SEARCH_WEIGHT Public finance and procurement by function - Government at a glance indicators, 2023 edition Finances publiques et marchés publics par fonction - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to expenditures, investment and procurement spending disaggregated according to the Classification of the Functions of Government (COFOG) under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_OTE_S13+PT_GPROC_S13+PT_OTE_S13_FNC+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0050 SEARCH_WEIGHT Public finance and procurement by function - government at a glance indicators, 2025 edition Finances publiques et marchés publics par fonction - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to expenditures, investment and procurement spending disaggregated according to the Classification of the Functions of Government (COFOG) under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true EXPENDITURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_OTE_S13+PT_GPROC_S13+PT_OTE_S13_FNC+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0003 SEARCH_WEIGHT Public finance by function - government at a glance indicators, yearly updates Finances publiques par fonction - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to expenditures disaggregated according to the Classification of the Functions of Government (COFOG) under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true POSITION,AGE,ATTAINMENT_LEV,SEX LAYOUT_ROW REF_AREA LAYOUT_COLUMN MEASURE,UNIT_MEASURE,SECTOR LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=CAN+FRA+DEU+ITA+JPN+GBR+USA+OECD_REP,MEASURE=EMPCA+EMP_T DEFAULT COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT Central administration employment by age, gender, education and position - government at a glance indicators, 2025 edition Emploi dans l’administration centrale par âge, sexe, niveau d’éducation et position - indicateurs du panorama des administrations publiques, édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to the employment in central administration by age, gender, education and hierarchical position. Data on this domain resulted from the OECD (2024) survey on the composition of the workforce in central/federal governments. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE,INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0004 SEARCH_WEIGHT Government debt by financial instrument - Government at a glance indicators, 2023 edition Dette publique par instrument financier - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to government gross debt by financial instruments under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0040 SEARCH_WEIGHT Government debt by financial instrument - government at a glance indicators, 2025 edition Dette publique par instrument financier - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to government gross debt by financial instruments under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE,INSTR_ASSET LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0004 SEARCH_WEIGHT Government debt by financial instrument - government at a glance indicators, yearly updates Dette publique par instrument financier - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to government gross debt by financial instruments under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,SCALE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0020 SEARCH_WEIGHT Perception of public sector integrity - Government at a glance indicators, 2025 edition Perception de l’intégrité du secteur public - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to perception of public sector integrity. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true MEASURE,SCALE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUS,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0012 SEARCH_WEIGHT Satisfaction with public services - government at a glance indicators, 2025 edition Satisfaction à l’égard des services publics - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to satisfaction with administrative, healthcare, education and justice services, including concerns about household finances. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,SCALE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.01 SEARCH_WEIGHT Trust, security and dignity - government at a glance indicators, 2025 edition Confiance, sécurité et dignité - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to levels of trust in public institutions, security, dignity, and political efficacy. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_OTE_S13+PT_OTR_S13+PT_GPROC_S13+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00001 SEARCH_WEIGHT Public finance and procurement by level of government - Government at a glance indicators, 2023 edition Finances publiques, marchés publics et emploi selon les niveaux d’administration - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to public finance and size of procurement by levels of government. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_OTE_S13+PT_OTR_S13+PT_GPROC_S13+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0020 SEARCH_WEIGHT Public finance and procurement by level of government - government at a glance indicators, 2025 edition Finances publiques, marchés publics et emploi selon les niveaux d’administration - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to public finance and size of procurement by levels of government. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true SECTOR LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_OTE_S13+PT_OTR_S13+PT_GPROC_S13+PT_P5L_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.00015 SEARCH_WEIGHT Public finance and procurement by level of government - government at a glance indicators, yearly updates Finances publiques, marchés publics et emploi selon les niveaux d’administration - Indicateurs du Panorama des administrations publiques, Mises à jour annuelles This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to public finance and size of procurement by levels of government. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,REGULATORY_CATEGORY,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS REGULATORY_CATEGORY:OECD.GOV.GIP:HCL_REGULATORY_CATEGORY(1.0).H HIER_CONTEXT 1.001 SEARCH_WEIGHT Stakeholder engagement, RIA, and Ex post evaluation indexes - Government at a glance indicators, 2023 edition Indices d’association des parties prenantes, d'AIR et d’évaluation ex post - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to regulatory governance for stakeholder engagement, regulatory impact assessment and <em>ex post</em> evaluation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA,TIME_PERIOD LAYOUT_ROW MEASURE,REGULATORY_CATEGORY,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED TIME_PERIOD_START=2014 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS REGULATORY_CATEGORY:OECD.GOV.GIP:HCL_REGULATORY_CATEGORY(1.0).H HIER_CONTEXT 1.020 SEARCH_WEIGHT Stakeholder engagement, RIA, and ex post evaluation indexes - government at a glance indicators, 2025 edition Indices d’association des parties prenantes, d'AIR et d’évaluation ex post - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to regulatory governance for stakeholder engagement, regulatory impact assessment and <em>ex post</em> evaluation. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. With a growing emphasis on governance outcomes, this ninth edition presents the latest evidence on public governance tools and resources that can help public administrations address complex, long-term challenges, while allowing progress to be monitored over time. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters. The 2025 edition of Government at a Glance presents a structure around three broad categories: 1) Trust, security and dignity; prosperity and satisfaction with public services; 2) Achieving results with good governance practices 3) What resources public institutions use and how are they managed. Further information on Government at a Glance 2025 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/en/publications/government-at-a-glance-2025_0efd0bcd-en.html">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW TIME_PERIOD,MEASURE,SCALE,UNIT_MEASURE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0011 SEARCH_WEIGHT Governance of the policy cycle - Government at a glance indicators, 2023 edition Gouvernance du cycle de l’action publique - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to openness and inclusiveness, undue influence, and rule of law. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,SCALE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0012 SEARCH_WEIGHT Satisfaction with public services - Government at a glance indicators, 2023 edition Satisfaction à l’égard des services publics - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to satisfaction with public services, and accessibility, responsiveness and quality administrative services, healthcare, education and justice. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true REF_AREA LAYOUT_ROW MEASURE,SCALE LAYOUT_COLUMN UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS 1.0013 SEARCH_WEIGHT Trust and democratic governance - Government at a glance indicators, 2023 edition Confiance et gouvernance démocratique - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to levels trust in public institutions, drivers of trust in civil service, and political efficacy. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true MEASURE,UNIT_MEASURE LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_UNIT_MEASURE:Unité de mesure combinée Trust, Satisfaction with public services and governance of the policy cycle, 2023 edition Confiance, Satisfaction à l’égard des services publics et gouvernance du cycle de l’action publique - Indicateurs quantitatifs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication. Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_TAX_REV+PT_OTE_S13+PT_OTR_S13+PT_PCOS_S13+PT_EXP_OUT_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0002 SEARCH_WEIGHT Public finance by economic transaction - Government at a glance indicators, 2023 edition Finances publiques par opération économique - Indicateurs du Panorama des administrations publiques, Édition 2023 This dataset represents a selection of indicators as presented in the 2023 edition of the Government at a Glance publication related to government revenue and expenditure disaggregation by economic transactions under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark governments across OECD members and partner countries. This eighth edition provides internationally comparative data on a range of public governance, tools and practices to help identify both strengths and weaknesses in democratic governance. The Structure and indicators section of the Government at a Glance publication, describes its framework and the structure by chapters, as well as the changes compared to the previous 2021 edition.The 2023 edition presents a new structure around these three broad categories: 1) Trust and satisfaction with public services (trust in public institutions, satisfaction with public services); 2) Achieving results with good governance practices (governance of the policy cycle, regulatory governance, budgeting practices, managing public procurement, infrastructure planning and delivery, digital government and open government data); and 3) What resources public institutions use and how are they managed (public finance, public employment, managing human resources). Further information on Government at a Glance 2023 edition via a dedicated web platform, which includes a Government at a Glance Data dashboard (for a selection of indicators in an interactive format) as well as Country fact sheets (key data by country), can be found at: <a href="https://www.oecd.org/publication/government-at-a-glance/2023">Government at a Glance website</a> NonProductionDataflow true TRANSACTION LAYOUT_ROW TIME_PERIOD LAYOUT_COLUMN REF_AREA,MEASURE,UNIT_MEASURE LAYOUT_ROW_SECTION UNIT_MULT=0,OBS_STATUS=A,SECTOR=S1 NOT_DISPLAYED REF_AREA=AUT,TIME_PERIOD_START=2007,UNIT_MEASURE=PT_B1GQ+PT_TAX_REV+PT_OTE_S13+PT_OTR_S13+PT_PCOS_S13+PT_EXP_OUT_S13 DEFAULT UNIT_MEASURE,UNIT_MULT,PRICE_BASE UNIT_MEASURE_CONCEPTS SECTOR:OECD.GOV.GIP:HCL_SECTOR(1.0).H HIER_CONTEXT COMBINED_MEASURE:MEASURE,SECTOR;COMBINED_UNIT_MEASURE:UNIT_MEASURE,PRICE_BASE,UNIT_MULT,BASE_PER COMBINED_CONCEPTS COMBINED_MEASURE:Combined measure;COMBINED_UNIT_MEASURE:Combined unit of measure COMBINED_MEASURE:Mesure combinée;COMBINED_UNIT_MEASURE:Unité de mesure combinée 1.0030 SEARCH_WEIGHT Public finance by economic transaction - government at a glance indicators, 2025 edition Finances publiques par opération économique - Indicateurs du Panorama des administrations publiques, Édition 2025 This dataset represents a selection of indicators as presented in the 2025 edition of the Government at a Glance publication related to government revenue and expenditure disaggregation by economic transactions under the System of National Accounts (SNA). Government at a Glance provides a dashboard of indicators assembled to help decision makers and the public analyse and benchmark go