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Air Pollution - Cities And FUAs

@oecd.oecd_cfe_eds_dsd_fua_env_df_pollution_v1_2

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OECD dataset from agency OECD.CFE.EDS: DSD_FUA_ENV@DF_POLLUTION (2021 - 2023)

This dataset provides indicators of PM2.5, PM10 (particulate matter), ozone and nitrogen dioxide air pollution in FUAs and cities.

Data sources and methodology

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).

Defining FUAs and cities

The OECD, in cooperation with the EU, has developed a harmonised definition of functional urban areas (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns (OECD, 2012). FUAs consist of:

  1. A city – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.
  2. A commuting zone – including all local areas where at least 15% of employed residents work in the city.

The delineation process includes:

  • Assigning municipalities surrounded by a single FUA to that FUA.
  • Excluding non-contiguous municipalities.

The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.

Cite this dataset

OECD Regions, cities and local areas database (Air pollution - Cities and FUAs), http://oe.cd/geostats

Further information

For questions and/or comments, please email CitiesStat@oecd.org


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