Data

Deaths from air pollution

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Deaths from air pollution

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What you should know about this indicator

  • Air pollution is one of the leading risk factors for early death worldwide.
  • Air pollution — particularly very small particles called particulate matter — can infiltrate the lungs, airways and respitatory system, increasing the risk of several of the most common health conditions, including heart disease, stroke, lower respiratory infections, lung cancer, diabetes, and chronic obstructive pulmonary disease (COPD).
  • Indoor, or household, pollution is usually generated from burning wood, other biomass, or charcoal for cooking and heating. This is common in lower-income countries where people do not have alternative, cleaner fuels.
  • Outdoor air pollution is often generated from burning fossil fuels for electricity production, emissions from industry, or tailpipe emissions from vehicles.
  • These estimates of premature deaths come from the Institute for Health Metrics and Evaluation's Global Burden of Disease study.
  • Premature deaths are modelled based on estimates of peoples' exposure to air pollution, and epidemiological models of how this increases the risk of various diseases.
Deaths from air pollution
IHME
The estimated number of deaths from all causes attributed to air pollution.
Source
IHME, Global Burden of Disease (2025)with major processing by Our World in Data
Last updated
February 7, 2026
Next expected update
February 2030
Date range
1990–2023
Unit
deaths

Sources and processing

IHME, Global Burden of Disease – Global Burden of Disease - Risk Factors - Deaths

The Global Burden of Disease (GBD) study provides a comprehensive assessment of global health trends. This dataset contains the risk factors that contribute to deaths and DALYs from all causes, cardiovascular diseases, lower respiratory infections, diarrheal diseases and cancers.

Retrieved on
February 7, 2026
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.
"Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2023 (GBD 2023). Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2025. Available from https://vizhub.healthdata.org/gbd-results/."
attribution_short: "IHME-GBD"

The Global Burden of Disease (GBD) study provides a comprehensive assessment of global health trends. This dataset contains the risk factors that contribute to deaths and DALYs from all causes, cardiovascular diseases, lower respiratory infections, diarrheal diseases and cancers.

Retrieved on
February 7, 2026
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.
"Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2023 (GBD 2023). Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2025. Available from https://vizhub.healthdata.org/gbd-results/."
attribution_short: "IHME-GBD"

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

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: Deaths from air pollution”, part of the following publication: Hannah Ritchie and Max Roser (2021) - “Air Pollution”. Data adapted from IHME, Global Burden of Disease. Retrieved from https://archive.ourworldindata.org/20260331-103338/grapher/ihme-deaths-air-pollution.html [online resource] (archived on March 31, 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:

IHME, Global Burden of Disease (2025) – with major processing by Our World in Data

Full citation

IHME, Global Burden of Disease (2025) – with major processing by Our World in Data. “Deaths from air pollution – IHME” [dataset]. IHME, Global Burden of Disease, “Global Burden of Disease - Risk Factors - Deaths” [original data]. Retrieved April 14, 2026 from https://archive.ourworldindata.org/20260331-103338/grapher/ihme-deaths-air-pollution.html (archived on March 31, 2026).

Quick download

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.

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/ihme-deaths-air-pollution.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/ihme-deaths-air-pollution.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/ihme-deaths-air-pollution.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/ihme-deaths-air-pollution.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/ihme-deaths-air-pollution.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

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

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