airportsdata 
Extensive database of location and timezone data for nearly every operational airport and landing strip in the world, with 28,132 entries.
Each entry consists of the following data:
icao: ICAO 4-letter DOC7910 Location Indicator or (if none) an internal Pseudo-ICAO Identifier [1] (28,132 entries)
iata: IATA 3-letter Location Code (7,587 entries) or an empty string [2]
name: Official name (latin script)
city: City in 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
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 (12,567 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.
Important notes:
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 national Aeronautical Information Publications (AIP) or equivalent (or ARINC database) and IATA before publishing.
Raw data
A CSV (comma separated values) file, with headers and encoded in UTF-8, 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'])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).
License
Released under the MIT License (see license here).
1 maintainer
Metadata
1 maintainer
Release files for airportsdata 20231007
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-20231007.tar.gz | 1.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| airportsdata-20231007-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / airportsdata-20231007.tar.gz
| Download URL | airportsdata-20231007.tar.gz |
|---|---|
| Size | 1.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ae8a84711680224758e19e5149577dfc3bc39cc23db5a11f7effb0c1f3cc4b54
|
|
BLAKE2b-256 checksum How to use checksums |
53075eda498544f31d1c1f4a542a4f45e7fadad176f52a51a432a3be4235bcdf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / airportsdata-20231007-py3-none-any.whl
| Download URL | airportsdata-20231007-py3-none-any.whl |
|---|---|
| Size | 1.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
adfd9a80d134c475395a90ad2ad2d842bea1897231f7cfb87ff090032f385822
|
|
BLAKE2b-256 checksum How to use checksums |
25096568064bd6f162f08cee65eabf05aaff1df7d17e5e541aa2b6fa01d8c359
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
