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GEOSTAT gridded population dataset

External Data Spec Published 30 Nov 2018

1 min read

Topics: Air pollution , Environment and health ,

Provider:: Statistical Office of the European Union (Eurostat)
Dataset URL:: https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/population-distribution-demography/geostat

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Produced figures

Spatial distribution of exposure to four air pollutants across Europe, 2013-2014 The maps use a colour gradient to show the population-weighted average PM2.5 (top left), PM10 (top right), NO2 (bottom left) and O3 (bottom right) concentrations (µg/m3) by NUTS 3 region, for the years 2013 and 2014. The colour scale varies from dark green representing low values, purple representing high values.

Exposure to ozone SOMO35 mapped against long-term unemployment, 2013-2014 The map uses a colour gradient to show the long-term unemployment rate per NUTS2 region, classified in quantiles, against the highest exposure to O3 pollution represented as hatched areas (only the regions in the top 20 % of O3 exposure are shown as hatched).

Exposure to PM10 mapped against long-term unemployment, 2013-2014 The map uses a colour gradient to show the long-term unemployment rate per NUTS2 region, classified in quantiles, against the highest exposure to PM10 pollution represented as hatched areas (only the top 20 % of PM10 are shown).

Exposure to NO2 mapped against household income, 2013-2014 The map uses a colour gradient to show the avergae household income per NUTS2 region, classified in quantiles, against the highest exposure to NO2 pollution represented as hatched areas (only the regions in the top 20 % of NO2 exposure are shown as hatched).

Exposure to PM2.5 mapped against GDP per capita, 2013-2014 The map uses a colour gradient to show the GDP per capita per NUTS3 region, classified in quantiles against the highest exposure to PM2.5 pollution represented as hatched areas (only the top 20 % of PM2.5 are shown).

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/geostat-gridded-population-dataset or scan the QR code.

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