---
id: airportsdata
version: "20260803"
license: MIT
license_treatment: permissive
maintenance: active
---

# airportsdata — Extensive database of location and timezone data for nearly every airport and landing strip in the world.

License: permissive · Maintenance: active · Downloads: 2.5M/mo

## What it is and what it does

airportsdata is a static reference database packaged as a Python module, containing location, timezone, and identifier information for nearly every operational airport, landing strip, and some seaplane bases worldwide. It includes ICAO 4-letter codes, IATA 3-letter codes, FAA Location Identifiers, official names, city and subdivision data, elevation, latitude/longitude coordinates, and IANA timezone names. The data is sourced from Aeronautical Information Publications, ARINC databases, and aviation reference services, and excludes closed airports, heliports without IATA codes, and surface transportation stations.

You load the database into a Python dict keyed by your choice of identifier (ICAO, IATA, or FAA LID), then look up airport records by code. It has no external runtime dependencies and is distributed as a pure Python wheel, making installation and use straightforward. The package is actively maintained, supports modern Python versions, and carries no known vulnerabilities.

Use it for:

- Look up airport timezone or coordinates by ICAO code in flight scheduling or geolocation applications.
- Resolve IATA airport codes to full location data (city, country, timezone) in travel booking systems.
- Validate and enrich airport identifiers in aviation data pipelines or logistics software.
- Populate dropdown menus or search autocomplete with airport names and codes in web applications.
- Cross-reference FAA Location Identifiers to ICAO/IATA codes in U.S. aviation compliance or reporting tools.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Provides a static database of airport location, timezone, and identifier data (ICAO, IATA, FAA LID) for operational airports and landing strips worldwide, accessible via simple Python dict lookups.

Yes. This is a lightweight, dependency-free reference database with active maintenance, no security vulnerabilities, and a permissive license. Install it if you need to look up airport codes, timezones, or coordinates in your application. The only caveat is that elevation data is noted as often inaccurate, so do not rely on it for precision work without independent verification.

## Install

pip install airportsdata
uv add airportsdata
poetry add airportsdata

## Installing airportsdata

Before you install: Low install friction; pure Python wheel with no runtime dependencies. Actively maintained as of 2026-08-08, marked Production/Stable, and supports current Python versions (3.11–3.14).

License in practice: MIT license (permissive); you may use, modify, and distribute this package freely in commercial or private projects with minimal restrictions.

Quickstart:

pip install airportsdata

import airportsdata
icao_airports = airportsdata.load()
print(icao_airports['KJFK'])

Requires Python 3.11 or later.

Verify before relying:

- Whether elevation data accuracy issues noted in the description are documented or tracked in the repository.
- How frequently the airport database is updated and whether updates are released as new package versions.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 2.5M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airport data lookup, ICAO IATA airport codes, airport timezone database, airport location coordinates, airport reference data, airport-data, reference-database

[View on SkillFed](https://skillfed.io/packages/airportsdata) · [View on PyPI](https://pypi.org/project/airportsdata/)