Register record·API·FRVERIFIED · checked 33h ago
A
City attraction areas 2020, filtered for the Occitanie RegionAires d'attraction des villes 2020 filtrées sur la Région Occitanie
Aires d'attraction des villes 2020 filtrées sur la Région OccitanieCity attraction areas 2020, filtered for the Occitanie Region
This API provides the 2020 vintage of France's "aires d'attraction des villes" (city attraction areas) dataset, filtered to the Occitanie region (region code 76). An attraction area is a contiguous, enclave-free group of communes that delineates the reach of a population and employment hub over surrounding municipalities, based on commuting flows into the hub. The dataset is published via the Région Occitanie open-data portal and is useful for territorial analysis, spatial planning, and studying urban influence patterns across the region.Aires d'attraction des villes 2020 filtrées sur la Région Occitanie (code Région 76) L’aire d’attraction d’une ville est un ensemble de communes, d’un seul tenant et sans enclave, qui définit l’étendue de l’influence d’un pôle de population et d’emploi sur les communes environnantes, cette influe...
Trust score
How is this computed?42
fair
Weighted across five axes. Tap a ring for what it measures.
Data schema (7 fields)
Filterable via the API (5)
geo_pointaav2020libaav2020taav2017nb_com
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_pointGeo point | text | Geographic centroid coordinates of the urban attraction area, as text.Geographic centroid coordinates of the urban attraction area, as text. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the boundary of the urban attraction area.Polygon geometry outlining the boundary of the urban attraction area. |
| aav2020 | text | 2020 urban attraction area (aire d'attraction des villes) code.2020 urban attraction area (aire d'attraction des villes) code. |
| libaav2020 | text | Name of the 2020 urban attraction area, e.g. its central city.Name of the 2020 urban attraction area, e.g. its central city. |
| taav2017 | text | 2017 population size category of the urban attraction area.2017 population size category of the urban attraction area. |
| nb_comNb com | int | Number of municipalities included in the urban attraction area.Number of municipalities included in the urban attraction area. |
| geo_point_2dCoordinates | geo_point_2d | Latitude and longitude of the urban attraction area's centroid.Latitude and longitude of the urban attraction area's centroid. |
Schema captured from opendatasoft 3 days 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 1nb_com: 3 · aav2020: 316
{
"nb_com": 3,
"aav2020": "316",
"taav2017": "Aire de moins de 50 000 habitants",
"geo_point": "43.54719726197683, 4.2043942806547765",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
4.083496809005737,
43.588398933410645
],
[
4.074673891067505,
43.58859467506409
],
[
4.083222389221191,
43.5915687084198
],
[
4.099603891372681,
43.58525896072388
],
[
4.122722625732422,
43.588783740997314
],
[
4.150215625762939,
43.58556270599365
],
[
4.149609565734863,
43.59611487388611
],
[
4.170054197311401,
43.61080741882324
],
[
4.192906141281128,
43.64186644554138
],
[
4.193817615509033,
43.65174603462219
],
[
4.230076551437378,
43.62436318397522
],
[
4.241249322891235,
43.61346435546875
],
[
4.237686395645142,
43.59011673927307
],
[
4.265277624130249,
43.589295387268066
],
[
4.288847923278809,
43.59034967422485
],
[
4.292473554611206,
43.58424186706543
],
[
4.289496660232544,
43.57070708274841
],
[
4.31530499458313,
43.562793254852295
],
[
4.318520784378052,
43.5573194026947
],
[
4.309187173843384,
43.54628300666809
],
[
4.320894241333008,
43.527631998062134
],
[
4.293264150619507,
43.51435828208923
],
[
4.244233131408691,
43.50146126747131
],
[
4.237932443618774,
43.49708008766174
],
[
4.239356756210327,
43.49373459815979
],
[
4.231605052947998,
43.48092865943909
],
[
4.230283498764038,
43.460185289382935
],
[
4.163530826568604,
43.4717378616333
],
[
4.130937099456787,
43.48544430732727
],
[
4.117400407791138,
43.508124351501465
],
[
4.122886180877686,
43.52183485031128
],
[
4.137435436248779,
43.5234739780426
],
[
4.138158321380615,
43.531843185424805
],
[
4.126545906066895,
43.54390549659729
],
[
4.1010422706604,
43.554370403289795
],
[
4.109016180038452,
43.56879496574402
],
[
4.083496809005737,
43.588398933410645
]
]
]
},
"properties": {}
},
"libaav2020": "Le Grau-du-Roi",
"geo_point_2d": {
"lat": 43.54719726197682,
"lon": 4.204394280654778
}
}Record 2nb_com: 45 · aav2020: 282
{
"nb_com": 45,
"aav2020": "282",
"taav2017": "Aire de moins de 50 000 habitants",
"geo_point": "43.07653124408002, -0.05438535492446499",
"geo_shape": "[large value omitted]",
"libaav2020": "Lourdes",
"geo_point_2d": {
"lat": 43.07653124408002,
"lon": -0.054385354924464925
}
}Record 3nb_com: 5 · aav2020: 376
{
"nb_com": 5,
"aav2020": "376",
"taav2017": "Aire de moins de 50 000 habitants",
"geo_point": "44.27215462745487, 4.578287414666802",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
4.554163455963135,
44.2393798828125
],
[
4.551835775375366,
44.24176239967346
],
[
4.552711486816406,
44.25179719924927
],
[
4.560648918151855,
44.26441526412964
],
[
4.547791004180908,
44.26840543746948
],
[
4.535484313964844,
44.27849054336548
],
[
4.530210494995117,
44.27621364593506
],
[
4.530213594436646,
44.28471231460571
],
[
4.532208919525146,
44.29130172729492
],
[
4.52012038230896,
44.30980944633484
],
[
4.502326726913452,
44.31395196914673
],
[
4.496728181838989,
44.319448471069336
],
[
4.483153820037842,
44.317795753479004
],
[
4.4749436378479,
44.32083177566528
],
[
4.467028141021729,
44.32896852493286
],
[
4.464760780334473,
44.34167456626892
],
[
4.482910633087158,
44.33819937705994
],
[
4.506097078323364,
44.340252161026
],
[
4.512014150619507,
44.33539962768555
],
[
4.514730930328369,
44.329113721847534
],
[
4.524166822433472,
44.32876777648926
],
[
4.53115177154541,
44.32409644126892
],
[
4.549109697341919,
44.324512004852295
],
[
4.547748804092407,
44.322874307632446
],
[
4.54563045501709,
44.31970763206482
],
[
4.557167053222656,
44.30416822433472
],
[
4.569998264312744,
44.29934906959534
],
[
4.574274063110352,
44.300745725631714
],
[
4.598979711532593,
44.29175519943237
],
[
4.605465888977051,
44.29103970527649
],
[
4.616625070571899,
44.277992725372314
],
[
4.632678747177124,
44.28499388694763
],
[
4.649223804473877,
44.27035999298096
],
[
4.651466608047485,
44.25915288925171
],
[
4.67736029624939,
44.23497486114502
],
[
4.672932147979736,
44.218602418899536
],
[
4.661213397979736,
44.229214906692505
],
[
4.647833585739136,
44.23287320137024
],
[
4.643932342529297,
44.23910880088806
],
[
4.611007928848267,
44.237715005874634
],
[
4.605664730072021,
44.23211169242859
],
[
4.600969552993774,
44.21257209777832
],
[
4.582321405410767,
44.21315813064575
],
[
4.579927444458008,
44.216190576553345
],
[
4.565853595733643,
44.218750953674316
],
[
4.560327768325806,
44.224464893341064
],
[
4.558071851730347,
44.231239795684814
],
[
4.563283443450928,
44.240907430648804
],
[
4.554163455963135,
44.2393798828125
]
]
]
},
"properties": {}
},
"libaav2020": "Pont-Saint-Esprit",
"geo_point_2d": {
"lat": 44.27215462745487,
"lon": 4.578287414666801
}
}Record 4nb_com: 527 · aav2020: 005
{
"nb_com": 527,
"aav2020": "005",
"taav2017": "Aire de 700 000 habitants ou plus (hors Paris)",
"geo_point": "43.55029246189953, 1.3725621423734722",
"geo_shape": "[large value omitted]",
"libaav2020": "Toulouse",
"geo_point_2d": {
"lat": 43.550292461899545,
"lon": 1.372562142373474
}
}Record 5nb_com: 78 · aav2020: 153
{
"nb_com": 78,
"aav2020": "153",
"taav2017": "Aire de 50 000 à moins de 200 000 habitants",
"geo_point": "44.44455054597331, 1.4528481999431417",
"geo_shape": "[large value omitted]",
"libaav2020": "Cahors",
"geo_point_2d": {
"lat": 44.44455054597338,
"lon": 1.452848199943142
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.laregion.fr/api/explore/v2.1/catalog/datasets/aav2020_2024
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.laregion.fr/api/explore/v2.1/catalog/datasets/aav2020_2024/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
5 000 req/day
per ipmeasured
observed 3 days ago
Dataset
Volume & freshness
Records
86
Last upstream update
2 years ago
2024-08-23
License
No license declared upstream.
○ Documentation○ Data dictionary○ Versioning
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.