Name: Daily City-Level Air Pollution PM2.5 Estimates, 2018–2026
Creator: World Bank Group
Published: 2026-09-14

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However, not every country GDB contains all 59 data layers, as this was dependent on the availability of open-source data in each SIDS. Users are encouraged to check the accompanying metadata excel file for more information on the datasets in each GDB, the vintage, and the

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Each row in the dataset represents one daily PM2.5 estimate for one city. The dataset contains fields, described below.**wb_region** — World Bank regional classification (e.g. Latin America &amp; Caribbean). Assigned according to the standard World Bank 7-region taxonomy.**nam_0** — Country name as used in the World Bank Official Boundaries dataset (e.g. Jamaica). Derived from the WB ADM0 boundary layer and used as the canonical country name in this dataset.**adm0_wb_a3** — World Bank ADM0 boundary layer three-letter country code (e.g. JAM). Assigned via spatial join of city coordinates against the World Bank Official Boundaries — Admin 0 layer. This is the primary join key to the World Bank Official Boundaries geospatial files. Note that for a small number of countries and territories this code differs from the code held in `pm25_iso3`.**pm25_iso3** — ISO 3166-1 alpha-3 country code as supplied by the Global PM2.5 Watch platform (e.g. JAM). Three-letter international standard country identifier.**adm1cd_c** — First-level administrative division code assigned via spatial join of city coordinates against the World Bank Official Boundaries — Admin 1 layer. Corresponds to states, provinces, regions, governorates, or equivalent subnational units depending on the country.**geonameid** — Unique numeric identifier from the GeoNames geographical database. Stable identifier for the city or populated place. Can be used to join against GeoNames or other datasets that reference the GeoNames ID system.**city** — Name of the city from geonames as supplied by the Global PM2.5 Watch platform.**latitude** — Latitude of the city centroid in decimal degrees, WGS 84 coordinate reference system (EPSG:4326).**longitude** — Longitude of the city centroid in decimal degrees, WGS 84 coordinate reference system (EPSG:4326).**population** — Population of the city from geonames supplied by the Global PM2.5 Watch platform.**date** — Date of the PM2.5 estimate in ISO 8601 format, YYYY-MM-DD (e.g. 2018-10-01). The dataset provides daily estimates from October 2018 through August 2026.**pm25** — Estimated daily mean PM2.5 concentration in micrograms per cubic meter (μg/m³). PM2.5 refers to fine particulate matter with an aerodynamic diameter of 2.5 micrometers or less. Values are derived from a machine learning model that integrates satellite aerosol optical depth observations (ESA TROPOMI), ground-level air quality station readings (IQAir network), meteorological reanalysis data (Copernicus ERA5), and gridded emissions inventories (EDGAR). Estimates are validated against ground-station measurements and represent modelled, not directly measured, concentrations.

PM2.5 for Cities in Europe Central Asia, 2018-2026

Each row in the dataset represents one daily PM2.5 estimate for one city. The dataset contains fields, described below.**wb_region** — World Bank regional classification (e.g. Latin America &amp; Caribbean). Assigned according to the standard World Bank 7-region taxonomy.**nam_0** — Country name as used in the World Bank Official Boundaries dataset (e.g. Jamaica). Derived from the WB ADM0 boundary layer and used as the canonical country name in this dataset.**adm0_wb_a3** — World Bank ADM0 boundary layer three-letter country code (e.g. JAM). Assigned via spatial join of city coordinates against the World Bank Official Boundaries — Admin 0 layer. This is the primary join key to the World Bank Official Boundaries geospatial files. Note that for a small number of countries and territories this code differs from the code held in `pm25_iso3`.**pm25_iso3** — ISO 3166-1 alpha-3 country code as supplied by the Global PM2.5 Watch platform (e.g. JAM). Three-letter international standard country identifier.**adm1cd_c** — First-level administrative division code assigned via spatial join of city coordinates against the World Bank Official Boundaries — Admin 1 layer. Corresponds to states, provinces, regions, governorates, or equivalent subnational units depending on the country.**geonameid** — Unique numeric identifier from the GeoNames geographical database. Stable identifier for the city or populated place. Can be used to join against GeoNames or other datasets that reference the GeoNames ID system.**city** — Name of the city from geonames as supplied by the Global PM2.5 Watch platform.**latitude** — Latitude of the city centroid in decimal degrees, WGS 84 coordinate reference system (EPSG:4326).**longitude** — Longitude of the city centroid in decimal degrees, WGS 84 coordinate reference system (EPSG:4326).**population** — Population of the city from geonames as supplied by the Global PM2.5 Watch platform.**date** — Date of the PM2.5 estimate in ISO 8601 format, YYYY-MM-DD (e.g. 2018-10-01). The dataset provides daily estimates from October 2018 through August 2026.**pm25** — Estimated daily mean PM2.5 concentration in micrograms per cubic meter (μg/m³). PM2.5 refers to fine particulate matter with an aerodynamic diameter of 2.5 micrometers or less. Values are derived from a machine learning model that integrates satellite aerosol optical depth observations (ESA TROPOMI), ground-level air quality station readings (IQAir network), meteorological reanalysis data (Copernicus ERA5), and gridded emissions inventories (EDGAR). Estimates are validated against ground-station measurements and represent modelled, not directly measured, concentrations.

PM2.5 for cities in South Asia, 2018-2026

PM2.5 for Cities in Sub-Saharan Africa, 2018-2026

PM2.5 for Cities in North America, 2018-2026

PM2.5 for Cities in Latin America & Caribbean, 2018-2026

Each row in the dataset represents one daily PM2.5 estimate for one city. The dataset contains fields, described below.wb_region** — World Bank regional classification (e.g. Latin America &amp; Caribbean). Assigned according to the standard World Bank 7-region taxonomy.**nam_0** — Country name as used in the World Bank Official Boundaries dataset (e.g. Jamaica). Derived from the WB ADM0 boundary layer and used as the canonical country name in this dataset.**adm0_wb_a3** — World Bank ADM0 boundary layer three-letter country code (e.g. JAM). Assigned via spatial join of city coordinates against the World Bank Official Boundaries — Admin 0 layer. This is the primary join key to the World Bank Official Boundaries geospatial files. Note that for a small number of countries and territories this code differs from the code held in `pm25_iso3`.**pm25_iso3** — ISO 3166-1 alpha-3 country code as supplied by the Global PM2.5 Watch platform (e.g. JAM). Three-letter international standard country identifier.**adm1cd_c** — First-level administrative division code assigned via spatial join of city coordinates against the World Bank Official Boundaries — Admin 1 layer. Corresponds to states, provinces, regions, governorates, or equivalent subnational units depending on the country.**geonameid** — Unique numeric identifier from the GeoNames geographical database. Stable identifier for the city or populated place. Can be used to join against GeoNames or other datasets that reference the GeoNames ID system.**city** — Name of the city from geonames supplied by the Global PM2.5 Watch platform.**latitude** — Latitude of the city centroid in decimal degrees, WGS 84 coordinate reference system (EPSG:4326).**longitude** — Longitude of the city centroid in decimal degrees, WGS 84 coordinate reference system (EPSG:4326).**population** — Population of the city from geonames supplied by the Global PM2.5 Watch platform.**date** — Date of the PM2.5 estimate in ISO 8601 format, YYYY-MM-DD (e.g. 2018-10-01). The dataset provides daily estimates from October 2018 through August 2026.**pm25** — Estimated daily mean PM2.5 concentration in micrograms per cubic meter (μg/m³). PM2.5 refers to fine particulate matter with an aerodynamic diameter of 2.5 micrometers or less. Values are derived from a machine learning model that integrates satellite aerosol optical depth observations (ESA TROPOMI), ground-level air quality station readings (IQAir network), meteorological reanalysis data (Copernicus ERA5), and gridded emissions inventories (EDGAR). Estimates are validated against ground-station measurements and represent modelled, not directly measured, concentrations.

PM2.5 for Cities in East Asia & Pacific, 2018-2026

PM2.5 for cities Middle East & North Africa, Afghanistan & Pakistan, 2018-2026

World

This dataset provides daily estimates of fine particulate matter (PM2.5) air pollution for countries worldwide, covering the period from October 2018 through August 2026. The data are available from the Global PM2.5 Watch platform (globalpm25watch.org), which applies a machine learning model to estimate PM2.5 concentrations across more than 34,000 cities globally. The underlying model integrates multiple open data sources including: IQAir network, European Space Agency TROPOMI satellite, Copernicus ERA5, EDGAR (Emissions Database for Global Atmospheric Research), Köppen-Geiger climate classification maps, MERIT-DEM and Latitude band and coastal location identifiers

Metadata