airportsdata 20201205

Extensive database of location data for nearly every airport and landing strip in the world

Extensive database of location data for nearly every airport and landing strip in the world, with 28,863 entries.

Each entry consists of the following data:

• icao: ICAO (or FAA/TD LID) 4-alphanumeric code

• iata: IATA 3-letter code (for 6,549 entries) or an empty string; these will be validated, going forward, against IATA data

• 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) (originally sourced from TimeZoneDB)

Best efforts are placed to review all contributions for accuracy, but accuracy cannot be guaranteed or should be expected by users. Please report any issues you may find here.

Known issues:

• 219 aerodromes have IATA codes that are not in the IATA database and may be incorrect

• A small, but unknown, number of aerodromes are missing their IATA code (none are major airports)

• No historical data

This project is a fork of https://github.com/mwgg/Airports

Python

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

or

import airportsdata
airports = airportsdata.load('IATA')  # key is IATA code

Raw data

A CSV (comma separated values) file with headers (UTF-8 encoding) is downloadable from GitHub here

License

Released under the MIT License (see license here).