The Airport Tracker is an online tool that illustrates the emissions of carbon dioxide (CO₂) and local air pollutants generated from aircraft departing from airports around the world. It is a joint project by the International Council on Clean Transportation (ICCT), ODI Global, and T&E.

The Tracker contains information for the 1,300 largest airports globally, and includes emissions generated by passenger, freight and private jet flights. A methodology note is available in the Analysis page.

We are making this data available to the public to provide transparency, accountability and comparability of global airport infrastructure-related emissions.

Our hope is that by providing this data we can provide policymakers and campaigners with robust estimates of the climate and air quality impacts of existing and proposed airport capacity on a case-by-case basis and better understand how the aviation industry can fit in with our planning for a climate-safe and clean-air world.

The Tracker was first launched in 2021. This is the third version and we plan for  it to continue to evolve over time to include new data and information.

The first version of the airport tracker gathered 2019 data. This new version gathers 2023 data.  2019 and 2023 airport emissions datasets are not directly comparable because they were developed using different methodologies:

• The 2019 estimates were based on aircraft schedule data, whereas the 2023 estimates use actual flight trajectory data.
• The 2019 aircraft performance modeling used PIANO, while the 2023 dataset was modeled using BADA3.
• The 2019 emissions estimate uses a tank-to-wake approach, whereas the 2023 dataset uses a well-to-wake approach to calculate fuel-related emissions.

As a result, differences between the two years may reflect changes in methodology rather than actual changes in airport emissions. Users who would like access to the 2019 data are welcome to request it, with the understanding that methodological differences make it not directly comparable to the 2023 dataset.