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Dataset
OpenAQ
OpenAQ provides access to air quality data from monitors and shows pollutant measurements with reporting times and data sources.
About OpenAQ
OpenAQ is a nonprofit that aggregates air quality data from hundreds of sources worldwide into a centralized platform. It shows ground-monitor measurements for PM2.5, PM10, O3, NO2, SO2, CO and black carbon, with provider names, reporting times and latest readings.
The platform includes an interactive map for exploring local data, an open API for connecting applications including use with R, and an Air Quality Index Hub that describes methodologies used by different countries. Its data is used for air pollution research, community information and comparison with satellite observations.
Key features
- Aggregates air quality data from hundreds of sources worldwide
- Displays monitor measurements with provider and reporting time
- Tracks PM2.5, PM10, O3, NO2, SO2, CO and BC
- Interactive map to search and explore local data
- Open API connects applications directly to aggregated data
- AQI Hub describes country air quality index methods
Best for: Researchers, community groups, and application developers who need ground-level air quality data from multiple sources.
Good for
- Combines hundreds of worldwide sources in one harmonized dataset
- Lists data provider and update time for monitor locations
- Offers direct API access with code example for R
OpenAQ at a glance
- Official website
- openaq.org
- Category
- Research & Data › Geographic & Mapping Data
- Type
- Dataset
- Platforms
- Web
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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OpenAQ FAQ
What pollutants are shown for a monitor location?
PM2.5, PM10, SO2, O3, CO, black carbon and NO2, with units and latest readings.
Where does OpenAQ get its data?
It aggregates data from hundreds of sources worldwide, such as US EPA AirNow for the Washington DC monitor example.
How can developers connect to the data?
Through an open API that allows applications to connect directly, with an R client example for listing locations.
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