Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with 28,131 entries.
Each entry consists of the following data:
icao: ICAO 4-letter Location Indicator or (if none) an internal Pseudo-ICAO Identifier[*] (28,131 entries)
iata: IATA 3-letter Location Code (6,479 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; it is often wrong
lat: Latitude (decimal)
lon: Longitude (decimal)
tz: Timezone expressed as a tz database name (IANA-compliant) or an empty string for Antarctica
lid: U.S. FAA Location Identifier (12,566 entries), or an empty string
Best efforts are placed to review all contributions for accuracy, but accuracy cannot be guaranteed nor should be expected by users.
Known issues:
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 (closed airports are removed).
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 IATA and ARINC database or national AFD.
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 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'])License
Released under the MIT License (see license here).
1 maintainer
Metadata
1 maintainer
Release files for airportsdata 20230323
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| airportsdata-20230323.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| airportsdata-20230323-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / airportsdata-20230323.tar.gz
| Download URL | airportsdata-20230323.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
83b08c8cdcc61934e994d736ba413cc2ba6c6a8a0516fb767c99217735f3d3d7
|
|
BLAKE2b-256 checksum How to use checksums |
df5d2642c570373f36635ca9ad04583adb12b14a0f1d148c3012db5954860711
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / airportsdata-20230323-py3-none-any.whl
| Download URL | airportsdata-20230323-py3-none-any.whl |
|---|---|
| Size | 1.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f8aff8f5eb210c353945235a7eb84f541452f132cae9af358420783375368b7c
|
|
BLAKE2b-256 checksum How to use checksums |
5373053d59edc8fb9abf4b6a735007bfa89cd8ef908c82e465ca5d7e64805aaa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
