Skip to main content

Extensive database of location and timezone data for nearly every airport and landing strip in the world.

Project description

Extensive database of location and timezone data for nearly every airport and landing strip in the world, with 28,880 entries.

Each entry consists of the following data:

  • icao: ICAO 4-letter Location Indicator or 4-alphanumeric FAA/TC LID[*] (28,880 entries)

  • iata: IATA 3-letter Location Code (for 6,575 entries) or an empty string

  • name: Official name (latin script)

  • city: City

  • subd: Subdivision (e.g. state, province, region, etc.)

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

  • elevation: MSL elevation (the highest point of the landing area) in feet

  • lat: Latitude (decimal)

  • lon: Longitude (decimal)

  • tz: Timezone expressed as a tz database name (IANA-compliant)

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

Known issues:

  • 219 aerodromes have IATA Location Codes that are not in the IATA database and may be incorrect;

  • A small, but unknown, number of aerodromes are missing their IATA Location Code (none are major ones);

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

  • No historical data.

Please report any issues you may find here.

This project is a fork of https://github.com/mwgg/Airports. All IATA codes submitted in this fork have been validated against IATA.

Raw data

A CSV (comma separated values) file with headers (UTF-8 encoding) is downloadable from GitHub here.

Python

pypi version supported Python version 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 ICAO code, the default
print(airports['KJFK'])

or

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

License

license

Released under the MIT License (see license here).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

airportsdata-20220917-py3-none-any.whl (1.0 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page