Airports code
World airport codes with geo_name_ids 2008.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | column_1Airport Code | text | — |
| 100% | airport_nameAirport name | text | — |
| 100% | city_nameCity name | text | — |
| 100% | country_nameCountry name | text | — |
| 100% | country_codeCountry code | text | — |
| 100% | latitudeLatitude | double | — |
| 100% | longitudeLongitude | double | — |
| 100% | world_area_codeWorld area code | int | — |
| 100% | city_name_geo_name_idCity name geo name id | text | — |
| 98.9% | country_name_geo_name_idCountry name geo name id | int | — |
| — | coordinates | geo_point_2d | — |
Schema captured from opendatasoft 2 hours ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
Record 1column_1: WAZ · latitude: -28.15
{
"column_1": "WAZ",
"latitude": -28.15,
"city_name": "Warwick",
"longitude": 151.95,
"coordinates": {
"lat": -28.15,
"lon": 151.95
},
"airport_name": "Warwick",
"country_code": "AU",
"country_name": "Australia",
"world_area_code": 802,
"city_name_geo_name_id": "2144502",
"country_name_geo_name_id": 2077456
}Record 2column_1: VIX · latitude: -20.3
{
"column_1": "VIX",
"latitude": -20.3,
"city_name": "Vitoria",
"longitude": -40.25,
"coordinates": {
"lat": -20.3,
"lon": -40.25
},
"airport_name": "Eurico Sales",
"country_code": "BR",
"country_name": "Brazil",
"world_area_code": 316,
"city_name_geo_name_id": "3444924",
"country_name_geo_name_id": 3469034
}Record 3column_1: YDG · latitude: 44.5
{
"column_1": "YDG",
"latitude": 44.5,
"city_name": "Digby",
"longitude": -66.166667,
"coordinates": {
"lat": 44.5,
"lon": -66.166667
},
"airport_name": "Digby",
"country_code": "CA",
"country_name": "Canada",
"world_area_code": 906,
"city_name_geo_name_id": "5939236",
"country_name_geo_name_id": 6251999
}Record 4column_1: LRT · latitude: 47.766667
{
"column_1": "LRT",
"latitude": 47.766667,
"city_name": "Lorient",
"longitude": -3.45,
"coordinates": {
"lat": 47.766667,
"lon": -3.45
},
"airport_name": "Lann Bihoue",
"country_code": "FR",
"country_name": "France",
"world_area_code": 427,
"city_name_geo_name_id": "2997577",
"country_name_geo_name_id": 3017382
}Record 5column_1: INZ · latitude: 27.25
{
"column_1": "INZ",
"latitude": 27.25,
"city_name": "In Salah",
"longitude": 2.516667,
"coordinates": {
"lat": 27.25,
"lon": 2.516667
},
"airport_name": "In Salah",
"country_code": "DZ",
"country_name": "Algeria",
"world_area_code": 500,
"city_name_geo_name_id": "\\N",
"country_name_geo_name_id": 2589581
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/airports-code
License
Terms stated by the source (not a recognized license):
http://creativecommons.org/licenses/by-sa/3.0/
Query examples
curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/airports-code/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
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