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Service Description:

Map Name: Mortality attributed to exposure to PM2.5 (2018)

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Layers:

• Years of life lost per 100 000 inhabitants attributed to exposure to PM2.5 (2019) (0)
• Premature deaths per 100 000 inhabitants attributed to exposure to PM2.5 (2019) (1)
• Population-weighted concentrations of PM2.5, µg/m3 (2019) (2)
• GDP per capita, Euro (2017 - 2019) (3)

Description: The map presents the population-weighted concentrations of fine particulate matter (PM2.5) and the number of premature deaths and years of life lost attributed to the exposure to PM2.5 in 2018. The map also shows the GDP per capita to present the associations between socio-economic conditions and mortality associated with air pollution.

Copyright Text: (c) EEA, Eurostat (https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3gdp&lang=en)

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent:

XMin: -4105186.3518591058
YMin: 7697737.07098563
XMax: 7478635.571295014
YMax: 1.077714674512728E7
Spatial Reference: 102100  (3857)

Full Extent:

XMin: -7022952.211999999
YMin: -2438343.5353999995
XMax: 6215652.822900001
YMax: 1.14548056122E7
Spatial Reference: 102100  (3857)

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: Mortality attributed to exposure to PM2.5
Author: EEA
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The map at NUTS3 level presents mortality associated with population exposure to PM2.5 (premature deaths and years of life lost) . Average population-weighted concentrations of PM2.5 are presented and the layers can be viewed against GDP per capita to understand associations between socio-economic characteristics, air quality and mortality.</SPAN></P><P><SPAN>Air quality and mortality data are from 2018; the GDP per capita data is from 2018, gap-filled with 2017 data. </SPAN></P></DIV></DIV></DIV>
Subject: The map presents mortality associated with population exposure to PM2.5 against the GDP per capita at NUTS3 level.
Category:
Keywords: Air quality; particulate matter; mortality; health; premature deaths; years of life lost
AntialiasingMode: None
TextAntialiasingMode: Force

Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



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