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 28,884 entries.

Each entry consists of the following data:

  • icao: ICAO 4-letter Location Indicator or 4-alphanumeric FAA/TC LID[*] (28,884 entries)

  • iata: IATA 3-letter Location Code (for 6,579 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 Distribution

airportsdata-20221017.tar.gz (1.0 MB view details)

Uploaded Source

Built Distribution

airportsdata-20221017-py3-none-any.whl (1.0 MB view details)

Uploaded Python 3

File details

Details for the file airportsdata-20221017.tar.gz.

File metadata

  • Download URL: airportsdata-20221017.tar.gz
  • Upload date:
  • Size: 1.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for airportsdata-20221017.tar.gz
Algorithm Hash digest
SHA256 9eb8fad2265645aecf8da0911c8b2d489a1362cc84e63d46c595bebe88a4c068
MD5 a8189cf9671f65623030d726f7540ee3
BLAKE2b-256 97e7f94227c9d55a80d78e002b126f3371ad244643cc145b5c579b93d45d2c38

See more details on using hashes here.

File details

Details for the file airportsdata-20221017-py3-none-any.whl.

File metadata

File hashes

Hashes for airportsdata-20221017-py3-none-any.whl
Algorithm Hash digest
SHA256 c0d5b9e5b67c90239e2eaef878064906c6c8487bc1a3dfb2f0a3523284a7aea7
MD5 bbfc17f633913c26741a361977e00f52
BLAKE2b-256 572f6a74921e32d0a6c8e06e5448970327e8a2b162c70b02d2269ffb33c2d213

See more details on using hashes here.

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