Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with 28,274 entries.
Each entry consists of the following data:
icao: ICAO 4-letter Location Indicator (Doc 7910) or (if none) an internal Pseudo-ICAO Identifier [1] (28,274 entries);
iata: IATA 3-letter Location Code (7,865 entries) or an empty string [2];
name: Official name (diacritized latin script);
city: City (diacritized latin script), ideally using the local language or English;
subd: Subdivision (e.g. state, province, region, etc.), ideally using the local-language or English names of ISO 3166-2;
country: ISO 3166-1 alpha-2 country code (plus XK for Kosovo);
elevation: MSL elevation of the highest point of the landing area, in feet (warning: it is often wrong);
lat: Latitude (decimal) of the airport reference point (max 5 or 6 decimal digits);
lon: Longitude (decimal) of the airport reference point (max 5 or 6 decimal digits);
tz: Timezone expressed as a tz database name (IANA-compliant);
lid: U.S. FAA Location Identifier (12,610 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.
Important notes:
Timezone was originally sourced from TimeZoneDB;
No historical data (closed airports are removed);
No heliports without a IATA code;
No sea bases without a IATA code;
No surface transportation stations, even if they have an official IATA code.
Please report any issues you may find here.
This project is a fork of https://github.com/mwgg/Airports. All new data submitted in this fork have been validated against national Aeronautical Information Publications (AIP) or equivalent (or ARINC database) and IATA or https://www.ch-aviation.com/airports/{IATA} before publishing. ARINC database) and IATA or https://www.ch-aviation.com/airports/{IATA} before publishing.
Raw data
A CSV (comma separated values) file, with headers and encoded in UTF-8, is downloadable from GitHub here.
Python
Install from PyPi using uv (recommended):
uv pip install --update airportsdataOr, using pip:
pip install --update airportsdataOnce installed, to load the data into a dict:
import airportsdata
icao_airports = airportsdata.load() # key is the ICAO identifier (the default)
print(icao_airports['KJFK'])or
import airportsdata
iata_airports = airportsdata.load('IATA') # key is the IATA location code
print(iata_airports['JFK'])or
import airportsdata
lid_airports = airportsdata.load('LID') # key is the FAA LID
print(lid_airports['01AA'])Older Python versions are supported for 3 years after being obsoleted by a new major release (i.e. about 4 years since their original release).
License 
Released under the MIT License (see license here).
1 maintainer
Metadata
1 maintainer
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