airportsdata

Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with 28,237 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] (28,237 entries);
iata: IATA 3-letter Location Code (7,876 entries) or an empty string [2];
name: Official name (diacritized latin script);
city: City (diacritized latin script), ideally using the local language;
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 decimal digits);
lon: Longitude (decimal) of the airport reference point (max 5 decimal digits);
tz: Timezone expressed as a tz database name (IANA-compliant);
lid: U.S. FAA Location Identifier (12,604 entries), or an empty string.

[1]	See here for an explanation on how the Pseudo-ICAO Identifier is generated for airports and seaplane bases without an ICAO 4-letter Location Indicator.

[2]	IATA Multi Airport Cities are not not airports and therfore not included, but we provide a database and a Python function that returns the above data for all the airports of a IATA MAC. Please see documentation here.

Best efforts are placed to review all contributions for accuracy, but accuracy cannot be guaranteed nor should be expected by users.

Important notes:

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 before publishing.

Raw data

A CSV (comma separated values) file, with headers and encoded in UTF-8, is downloadable from GitHub here.

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'])

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).

Released under the MIT License (see license here).