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Extensive database of location and timezone data for nearly every airport and landing strip in the world, with 28,867 entries.

Each entry consists of the following data:

  • icao: ICAO (or FAA/TD LID) 4-alphanumeric code

  • iata: IATA 3-letter code (for 6,563 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 codes that are not in the IATA database; and may be incorrect;

  • A small, but unknown, number of aerodromes are missing their IATA 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

or

import airportsdata
airports = airportsdata.load('IATA')  # key is IATA code

License

license

Released under the MIT License (see license here).

Metadata

Release files for airportsdata 20211005

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

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Table of built distributions (wheels) for airportsdata 20211005
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