Extensive database of location and timezone data for nearly every airport and landing strip in the world, with 28,879 entries.
Each entry consists of the following data:
icao: ICAO 4-letter Location Indicator or 4-alphanumeric FAA/TC LID[*] (28,879 entries)
iata: IATA 3-letter Location Code (for 6,575 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
Install from PyPi using pip:
pip install -U airportsdataOnce 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
Released under the MIT License (see license here).
1 maintainer
Metadata
1 maintainer
Release files for airportsdata 20220913
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| airportsdata-20220913-py3-none-any.whl | Python 3 | none | any | Details |
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