airportsdata 20201203

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

Extensive database of current 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 whose IATA code is missing (none in the 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

CSV file with headers (UTF-8 encoding) downloadable from https://github.com/mborsetti/airportsdata/raw/main/airportsdata/airports.csv

License

Released under the MIT License (see license here).