Register record·API·FRUNVERIFIED
C
contours-Communes+CA-GPS
Trust score
How is this computed?0
poor
Weighted across five axes. Tap a ring for what it measures.
Data schema (13 fields)
Filterable via the API (11)
idnom_comnom_com_minsee_comstatutpopulationinsee_caninsee_arrinsee_depinsee_regcode_epci
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_pointGeo point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | id | text | — |
| — | nom_comNom com | text | — |
| — | nom_com_mNom com m | text | — |
| — | insee_comINSEE commune code | int | — |
| — | statut | text | — |
| — | population | int | — |
| — | insee_canInsee can | text | — |
| — | insee_arrInsee arr | int | — |
| 100% | insee_depInsee dep | double | — |
| 100% | insee_regInsee reg | int | — |
| 100% | code_epciCode epci | int | — |
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 1id: COMMUNE_0000002200276657 · statut: Préfecture
{
"id": "COMMUNE_0000002200276657",
"statut": "Préfecture",
"nom_com": "Évry-Courcouronnes",
"code_epci": 200059228,
"geo_point": {
"lat": 48.626897365,
"lon": 2.43011519415
},
"geo_shape": "[large value omitted]",
"insee_arr": 2,
"insee_can": "09",
"insee_com": 91228,
"insee_dep": 91,
"insee_reg": 11,
"nom_com_m": "EVRY-COURCOURONNES",
"population": 67967
}Record 2id: COMMUNE_0000000009737927 · statut: Commune simple
{
"id": "COMMUNE_0000000009737927",
"statut": "Commune simple",
"nom_com": "Soisy-sur-Seine",
"code_epci": 200059228,
"geo_point": {
"lat": 48.6600442499,
"lon": 2.46289997077
},
"geo_shape": "[large value omitted]",
"insee_arr": 2,
"insee_can": "06",
"insee_com": 91600,
"insee_dep": 91,
"insee_reg": 11,
"nom_com_m": "SOISY-SUR-SEINE",
"population": 7154
}Record 3id: COMMUNE_0000000009738367 · statut: Commune simple
{
"id": "COMMUNE_0000000009738367",
"statut": "Commune simple",
"nom_com": "Villabé",
"code_epci": 200059228,
"geo_point": {
"lat": 48.5861644378,
"lon": 2.45252045588
},
"geo_shape": "[large value omitted]",
"insee_arr": 2,
"insee_can": "04",
"insee_com": 91659,
"insee_dep": 91,
"insee_reg": 11,
"nom_com_m": "VILLABE",
"population": 5438
}Record 4id: COMMUNE_0000000009738821 · statut: Commune simple
{
"id": "COMMUNE_0000000009738821",
"statut": "Commune simple",
"nom_com": "Le Coudray-Montceaux",
"code_epci": 200059228,
"geo_point": {
"lat": 48.5586038568,
"lon": 2.48752957063
},
"geo_shape": "[large value omitted]",
"insee_arr": 2,
"insee_can": "13",
"insee_com": 91179,
"insee_dep": 91,
"insee_reg": 11,
"nom_com_m": "LE COUDRAY-MONTCEAUX",
"population": 4865
}Record 5id: COMMUNE_0000000009738366 · statut: Commune simple
{
"id": "COMMUNE_0000000009738366",
"statut": "Commune simple",
"nom_com": "Nandy",
"code_epci": 200059228,
"geo_point": {
"lat": 48.5819981837,
"lon": 2.54846344279
},
"geo_shape": "[large value omitted]",
"insee_arr": 2,
"insee_can": "19",
"insee_com": 77326,
"insee_dep": 77,
"insee_reg": 11,
"nom_com_m": "NANDY",
"population": 6042
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/contours-communesca-gps
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/contours-communesca-gps/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 2 hours ago
Dataset
Volume & freshness
Records
24
Last upstream update
6 years ago
2020-09-30
License
No license declared upstream.
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Source: opendatasoft
Machine-readable & source
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