.. |ICAO| replace:: 28,237
.. |IATA| replace:: 7,876
.. |LID| replace:: 12,604
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Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with |ICAO| entries.
Each entry consists of the following data:
icao: ICAO 4-letter Location Indicator (Doc 7910) or (if none) an internal Pseudo-ICAO Identifier [#]_ (|ICAO|
entries);iata: IATA 3-letter Location Code (|IATA| entries) or an empty string [#]_;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 <https://en.wikipedia.org/wiki/ISO_3166-2#Current_codes>__;country: ISO 3166-1 <https://en.wikipedia.org/wiki/ISO_3166-1#Current_codes>__ 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 <https://en.wikipedia.org/wiki/Airport_reference_point>__ (max 5 decimal digits);lon: Longitude (decimal) of the airport reference point <https://en.wikipedia.org/wiki/Airport_reference_point>__ (max 5 decimal digits);tz: Timezone expressed as a tz database name <https://en.wikipedia.org/wiki/List_of_tz_database_time_zones>__
(IANA-compliant);lid: U.S. FAA Location Identifier (|LID| entries), or an empty string... [#] See here <https://github.com/mborsetti/airportsdata/blob/main/README_identifiers.rst>__ for an explanation on
how the Pseudo-ICAO Identifier is generated for airports and seaplane bases without an ICAO 4-letter Location
Indicator.
.. [#] 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 <https://github.com/mborsetti/airportsdata/blob/main/README_IATA.rst>__.
Best efforts are placed to review all contributions for accuracy, but accuracy cannot be guaranteed nor should be expected by users.
Important notes:
TimeZoneDB <https://timezonedb.com>__;Please report any issues you may find here <https://github.com/mborsetti/airportsdata/blob/main/CONTRIBUTING.rst>__.
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 <https://github.com/mborsetti/airportsdata/blob/main/README_AIP.rst> (or
ARINC database) and IATA <https://www.iata.org/en/publications/directories/code-search/> before publishing.
A CSV (comma separated values) file, with headers and encoded in UTF-8, is downloadable from GitHub here <https://github.com/mborsetti/airportsdata/raw/main/airportsdata/airports.csv>__.
|pyversion| |support| |format| |status| |security| |CI| |coveralls| |issues|
Install from PyPi <https://pypi.org/project/airportsdata/>__ using pip:
.. code-block:: bash
pip install -U airportsdata
Once installed, to load the data into a dict:
.. code-block:: python
import airportsdata airports = airportsdata.load() # key is the ICAO identifier (the default) print(airports['KJFK'])
or
.. code-block:: python
import airportsdata airports = airportsdata.load('IATA') # key is the IATA location code print(airports['JFK'])
or
.. code-block:: python
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 <https://opensource.org/licenses/MIT> (see license here <https://github.com/mborsetti/airportsdata/blob/main/LICENSE>).