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Data

Exposure to outdoor air pollution

What you should know about this indicator

  • Outdoor air pollution, specifically PM2.5, is a major environmental risk factor for health issues such as respiratory and cardiovascular diseases. It is estimated to contribute to millions of premature deaths globally each year.
  • The World Health Organization (WHO) recommends that annual average PM2.5 levels should be below 5 µg/m³ to minimize health impacts.
  • The population-weighted mean PM2.5 concentration reflects the average exposure of people in a region, giving more weight to areas where more people live. This can differ from the simple geographic mean, which averages PM2.5 levels across a region without considering population distribution.
Exposure to outdoor air pollution
Annual population-weighted average concentration of in the air, measured in micrograms per cubic meter (µg/m³). Fine particulate matter (PM2.5) are particles with a diameter of 2.5 micrometers or less, which can pose significant health risks.
Source
SatPM, Atmospheric Composition Analysis Group, Washington University in St. Louis (2026) – processed by Our World in Data
Last updated
April 22, 2026
Next expected update
April 2027
Date range
1998–2024
Unit
µg/m³

Sources and processing

This data is based on the following sources

SatPM, Atmospheric Composition Analysis Group, Washington University in St. Louis – SatPM, Global Annual PM2.5 Concentration, country level

Retrieved on
April 22, 2026
Retrieved from
https://www.satpm.org/v5-gl-06
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309
Retrieved on
April 22, 2026
Retrieved from
https://www.satpm.org/v5-gl-06
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Aaron van Donkelaar, Melanie S. Hammer, Liam Bindle, Michael Brauer, Jeffery R. Brook, Michael J. Garay, N. Christina Hsu, Olga V. Kalashnikova, Ralph A. Kahn, Colin Lee, Robert C. Levy, Alexei Lyapustin, Andrew M. Sayer and Randall V. Martin (2021). Monthly Global Estimates of Fine Particulate Matter and Their Uncertainty Environmental Science & Technology, 2021, doi:10.1021/acs.est.1c05309

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Exposure to outdoor air pollution”. Our World in Data (2026). Data adapted from SatPM, Atmospheric Composition Analysis Group, Washington University in St. Louis. Retrieved from https://archive.ourworldindata.org/20260512-161845/grapher/outdoor-air-pollution-exposure.html [online resource] (archived on May 12, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

SatPM, Atmospheric Composition Analysis Group, Washington University in St. Louis (2026) – processed by Our World in Data

Full citation

SatPM, Atmospheric Composition Analysis Group, Washington University in St. Louis (2026) – processed by Our World in Data. “Exposure to outdoor air pollution” [dataset]. SatPM, Atmospheric Composition Analysis Group, Washington University in St. Louis, “SatPM, Global Annual PM2.5 Concentration, country level v5-gl-06” [original data]. Retrieved May 12, 2026 from https://archive.ourworldindata.org/20260512-161845/grapher/outdoor-air-pollution-exposure.html (archived on May 12, 2026).

Download

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Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/outdoor-air-pollution-exposure.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear