# waqi.info

- **Website:** <https://waqi.info>
- **Primary alias:** `waqi.info`

## Description

The World Air Quality Index project, a non-profit initiative started in 2007, aims to raise awareness about air pollution and offer global air quality data. Covering over 130 countries and 2,000 major cities, the project provides transparent air quality information through its websites: aqicn.org and waqi.info. Led by a team of experts in environmental sciences, system engineering, and data science, the project has garnered support from contributors across the globe. They rely on income from online advertising and GAIA air quality monitoring stations to sustain their cloud infrastructure and hosting costs. The project encourages contributions from individuals and organizations and has received active support from over 16,000 citizens worldwide.

Individuals interested in measuring air quality using their monitoring station or accessing historical and real-time air quality data can find relevant information on the project's websites. Furthermore, those looking to support the project can contribute by setting up citizen networks in countries or cities not yet covered on the map, translating the website, or joining the effort to access historical air quality data. The initiative also offers a free API for maps, tiles, and programmatic JSON access.

## Industries

- 🧪 Science and Education
- 🧪 Environmental Science _(under Science and Education)_

## Links

- [twitter](https://twitter.com/intent)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idDKWkQDuh/w/100/h/100/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1777712133323)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Cinnabar | #e93f33 | accent |
| Green Haze | #009966 | dark |
| Onahau | #cce2ff | light |

## Fonts

- Merriweather — asset _(google)_
- Merriweather — asset _(google)_

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_Source: <https://brandfetch.com/waqi.info>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._