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 28,877 entries.

Each entry consists of the following data:

  • icao: ICAO 4-letter Location Indicator or 4-alphanumeric FAA/TC LID[*] (28,877 entries)

  • iata: IATA 3-letter Location Code (for 6,573 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


Release history Release notifications | RSS feed

Download files

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

Source Distribution

airportsdata-20220824.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

airportsdata-20220824-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file airportsdata-20220824.tar.gz.

File metadata

  • Download URL: airportsdata-20220824.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for airportsdata-20220824.tar.gz
Algorithm Hash digest
SHA256 af67491fab80b881a1cfb193603163e0927c768e62b45140a4662e786b764d7c
MD5 8f88771359f8460a90f6952602eee68a
BLAKE2b-256 3ec46a07265d17b4d31d25060ef42ecf7d62d9f6ef41af4ddd9374f0c232a2ab

See more details on using hashes here.

File details

Details for the file airportsdata-20220824-py3-none-any.whl.

File metadata

File hashes

Hashes for airportsdata-20220824-py3-none-any.whl
Algorithm Hash digest
SHA256 77462f992b9874c0d3452e164da3a529d44c7ea46eddb45f892c768285be7057
MD5 7178e88cb14ef9b43d78d731299d8e4b
BLAKE2b-256 c84e68b6e3453cecff46bc76d65f97964264229710952a0995502a1ef60debeb

See more details on using hashes here.

Supported by

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