Skip to main content

Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with 28,130 entries.

Each entry consists of the following data:

  • icao: ICAO 4-letter Location Indicator, or, if missing, a 4-alphanumeric or K + 3-alphanumeric FAA LID[*] (28,130 entries)

  • iata: IATA 3-letter Location Code (6,577 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)

  • lid: U.S. FAA location identifier (12,566 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.

Known issues:

  • 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 (closed airports are removed).

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 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'])

License

license

Released under the MIT License (see license here).

Metadata

Release files for airportsdata 20221121

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 20221121
File Size Uploaded
airportsdata-20221121.tar.gz 1.0 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for airportsdata 20221121
File Interpreter ABI Platform
airportsdata-20221121-py3-none-any.whl Python 3 none any Details

Total release size: 2.0 MB

Release files / airportsdata-20221121.tar.gz

Download URL airportsdata-20221121.tar.gz
Size 1.0 MB
Tags Source
SHA-256 checksum
How to use checksums
e1e23d291b56f15322176a1c801d5d32b327060c340a319eba7d52d18cbcff34
BLAKE2b-256 checksum
How to use checksums
573843a076b257986033491f96ec724c4a97dd2e287cc1c1d8c1f202a1039632
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / airportsdata-20221121-py3-none-any.whl

Download URL airportsdata-20221121-py3-none-any.whl
Size 1.0 MB
Tags Python 3
SHA-256 checksum
How to use checksums
f1da691afa077b2d3c39ce4c6ab8f5b3d9d739df4184f90fe0fdcc027bd6902a
BLAKE2b-256 checksum
How to use checksums
bcc4a6eeafb5d2d443e2fd2b0dbad5a4e637659248cd9349c0cd77a3ca1db2ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.15

Release history Release notifications | RSS feed

This release

20221121 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