Since the beginning, the World Air Quality Index (WAQI) project team has always been keen on providing a transparent Air Quality Information to the world citizens.
The WAQI project has also always been keen on providing historical Air Quality Data to relevant institutions and organizations working in the area of environmental awareness, air quality monitoring, as well as health and epidemiological studies. Here are few of our partners and colleagues to which we have been providing historical air quality data information:
In order to make the historical Air Quality Data dissemination even more relevant, the World Air Quality Index team has been investigating with the most relevant international institutions the possibility to setup an open data framework. Here are fews of the institutions we have engaged:
UNFCCC - United Nations Framework Convention on Climate Change
The open data framework objective is to provide unlimited and free access the world historical and real-time Air Quality data from the 100+ countries covered on aqicn.org Everyone - both institutions as well as citizens - agrees that this is not only a good idea, but that it should *just* happen.
Free Downloadable Database
The daily average air quality data for all of the stations can be downloaded freely from the form below. Note that all the figures are converted to AQI using the US EPA standard: i.e. we do not publish the raw concentrations, but only the AQI.
If you want to download multiple stations at once, covering the COVID-19 period, go to the COVID-19 data page instead. You can find a ~28MB downloadable data-set covering more than 380 cities worldwide.
The Air Quality data is currently only available for the past 7 years, from 2014 until now. If you need data before this period, we recommend to either contact the originating EPA, or consider using estimates based on remote sensing data. You can for instance check the catalog from the AERIS/ICARE project, which is archiving satellite data since 2000.
In the above data, we publish the "Individual pollutant" Air Quality index. For instance, if you check the figures for PM2.5, they correspond to the PM2.5 individual AQI (noted as AQIPM2.5). If you want to calculate the overall AQI, aka composite AQI, you need to take the maximum of all individual AQI:
AQI = max( AQIPM2.5, AQIPM10, AQIO3, ...)
Last if you need the real-time data instead, try the API page. It's free too!
Inquiry & Registration
If the above data does not work for you, and you are from an international institution, organization or university you can register your interest with the form below. Note that this registration is only at intent level, for us to consolidate the list of all interested parties, and does not bound you, nor the world air quality index project, to any obligations.
Contributing or Supporting this Project
✋The World Air Quality project might look like one of those big projects coming from big organizations... but it is actually just a small, but lean, team behind it.
Despite its expensive outreach, the project has never received any financial support from any of NGO nor from any government🌸
The project income comes online advertising, but it is just enough to pay the cloud infrastructure. So, yes, all contributors are having a real job at the same time🙏
Yet, rather than asking for financial support, we prefer asking for contributors who can help with their time. Check the contribute page for more info.
If you do not have time to contribute, but still would like to help and support our project, what about getting one of our cool GAIA air quality monitoring station? ☀️💨👌
Usage Notice: All the Air Quality data are unvalidated at the time of publication, and due to quality assurance these data may be amended, without notice, at any time. The World Air Quality Index project has exercised all reasonable skill and care in compiling the contents of this information and under no circumstances will the World Air Quality Index project team or its agents be liable in contract, tort or otherwise for any loss, injury or damage arising directly or indirectly from the supply of this data.