Skip to main content

Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with 28,131 entries.

Each entry consists of the following data:

  • icao: ICAO 4-letter DOC7910 Location Indicator or (if none) an internal Pseudo-ICAO Identifier[*] (28,131 entries)

  • iata: IATA 3-letter Location Code (7,586 entries) or an empty string[#]

  • name: Official name (latin script)

  • city: City in latin script, ideally using the local language

  • subd: Subdivision (e.g. state, province, region, etc.), ideally using the local-language or English names of ISO 3166-2

  • country: ISO 3166-1 alpha-2 country code (plus XK for Kosovo)

  • elevation: MSL elevation (the highest point of the landing area) in feet; it is often wrong

  • lat: Latitude (decimal)

  • lon: Longitude (decimal)

  • tz: Timezone expressed as a tz database name (IANA-compliant) or an empty string for Antarctica

  • lid: U.S. FAA Location Identifier (12,567 entries), or an empty string

Best efforts are placed to review all contributions for accuracy, but accuracy cannot be guaranteed nor should be expected by users.

Important notes:

  • Timezone was originally sourced from TimeZoneDB and is missing for Antarctica;

  • No historical data (closed airports are removed).

Please report any issues you may find here.

This project is a fork of https://github.com/mwgg/Airports. All new data submitted in this fork have been validated against national Aeronautical Information Publications (AIP) or equivalent (or ARINC database) and IATA before publishing.

Raw data

A CSV (comma separated values) file, with headers and encoded in UTF-8, is downloadable from GitHub here.

Python

pypi version supported Python version Kit format Package stability Security Status CI testing status code coverage by Coveralls issues

Install from PyPi using pip:

pip install -U airportsdata

Once installed, to load the data into a dict:

import airportsdata
airports = airportsdata.load()  # key is the ICAO identifier (the default)
print(airports['KJFK'])

or

import airportsdata
airports = airportsdata.load('IATA')  # key is the IATA location code
print(airports['JFK'])

or

import airportsdata
airports = airportsdata.load('LID')  # key is the FAA LID
print(airports['01AA'])

Older Python versions are supported for 3 years after being obsoleted by a new major release (i.e. about 4 years since their original release).

License

license

Released under the MIT License (see license here).

Metadata

Release files for airportsdata 20230905

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for airportsdata 20230905
File Size Uploaded
airportsdata-20230905.tar.gz 7.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for airportsdata 20230905
File Interpreter ABI Platform
airportsdata-20230905-py3-none-any.whl Python 3 none any Details

Total release size: 14.0 kB

Release files / airportsdata-20230905.tar.gz

Download URL airportsdata-20230905.tar.gz
Size 7.0 kB
Tags Source
SHA-256 checksum
How to use checksums
ea817abcff2833a3d8642a24f55ffe6ebab1eee023235aefaf66b50fbd02607b
BLAKE2b-256 checksum
How to use checksums
74709b04bae6eac22e10b3ecd3abe1d9f66ff69e058bfc5ed005f3f9924f75fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Release files / airportsdata-20230905-py3-none-any.whl

Download URL airportsdata-20230905-py3-none-any.whl
Size 7.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ee8628c40a6418e1c5e9b47fb60c2734bf8505e3afa7f1989c6782a177a3a927
BLAKE2b-256 checksum
How to use checksums
0217ac72a88ad9dbe08e9e4551cea4e321797d4e5cb050f46d74461e0ed9be90
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Release history Release notifications | RSS feed

This release

20230905 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page