Register record·API·FR·AGENCY·Updated AnnualUNVERIFIED
G
Geofla® - Départements
Découpage départemental de la région Île-de-France
Trust score
How is this computed?19
poor
Weighted across five axes. Tap a ring for what it measures.
Data schema (13 fields)
Filterable via the API (11)
id_geoflacode_deptnom_deptcode_chfnom_chfx_chf_lieuy_chf_lieux_centroidy_centroidcode_regnom_reg
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | — |
| — | geo_shapeShape | geo_shape | — |
| — | id_geoflaId geofla | text | Identifiant |
| — | code_deptCode dept | text | Code géographique du département |
| — | nom_deptNom dept | text | Nom du département |
| — | code_chfCode chf | text | Code géographique du chef-lieu |
| — | nom_chfNom chf | text | Nom du chef-lieu |
| — | x_chf_lieuX chf lieu | double | Abscisse du chef-lieu |
| — | y_chf_lieuY chf lieu | double | Ordonnée du chef-lieu |
| — | x_centroidX centroid | double | Abscisse du centroïde |
| 100% | y_centroidY centroid | double | Ordonnée du centroïde |
| 100% | code_regCode reg | text | Code géographique de la région |
| 100% | nom_regNom reg | text | Nom de la région |
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 1nom_chf: CRETEIL · nom_reg: ILE-DE-FRANCE
{
"nom_chf": "CRETEIL",
"nom_reg": "ILE-DE-FRANCE",
"code_chf": "028",
"code_reg": "11",
"nom_dept": "VAL-DE-MARNE",
"code_dept": "94",
"geo_shape": "[large value omitted]",
"id_geofla": "DEPARTEM0000000000000049",
"x_centroid": 659881,
"x_chf_lieu": 659818,
"y_centroid": 6852859,
"y_chf_lieu": 6853225,
"geo_point_2d": {
"lat": 48.77730901372566,
"lon": 2.46916116515805
}
}Record 2nom_chf: PONTOISE · nom_reg: ILE-DE-FRANCE
{
"nom_chf": "PONTOISE",
"nom_reg": "ILE-DE-FRANCE",
"code_chf": "500",
"code_reg": "11",
"nom_dept": "VAL-D'OISE",
"code_dept": "95",
"geo_shape": "[large value omitted]",
"id_geofla": "DEPARTEM0000000000000090",
"x_centroid": 642235,
"x_chf_lieu": 634269,
"y_centroid": 6886661,
"y_chf_lieu": 6883804,
"geo_point_2d": {
"lat": 49.082700024749094,
"lon": 2.130774021864921
}
}Record 3nom_chf: BOBIGNY · nom_reg: ILE-DE-FRANCE
{
"nom_chf": "BOBIGNY",
"nom_reg": "ILE-DE-FRANCE",
"code_chf": "008",
"code_reg": "11",
"nom_dept": "SEINE-SAINT-DENIS",
"code_dept": "93",
"geo_shape": "[large value omitted]",
"id_geofla": "DEPARTEM0000000000000014",
"x_centroid": 659903,
"x_chf_lieu": 658860,
"y_centroid": 6867852,
"y_chf_lieu": 6867904,
"geo_point_2d": {
"lat": 48.917547221633285,
"lon": 2.478465912488935
}
}Record 4nom_chf: EVRY · nom_reg: ILE-DE-FRANCE
{
"nom_chf": "EVRY",
"nom_reg": "ILE-DE-FRANCE",
"code_chf": "228",
"code_reg": "11",
"nom_dept": "ESSONNE",
"code_dept": "91",
"geo_shape": "[large value omitted]",
"id_geofla": "DEPARTEM0000000000000089",
"x_centroid": 644635,
"x_chf_lieu": 657958,
"y_centroid": 6825888,
"y_chf_lieu": 6836106,
"geo_point_2d": {
"lat": 48.522635020754464,
"lon": 2.243486970120509
}
}Record 5nom_chf: PARIS · nom_reg: ILE-DE-FRANCE
{
"nom_chf": "PARIS",
"nom_reg": "ILE-DE-FRANCE",
"code_chf": "101",
"code_reg": "11",
"nom_dept": "PARIS",
"code_dept": "75",
"geo_shape": "[large value omitted]",
"id_geofla": "DEPARTEM0000000000000036",
"x_centroid": 650100,
"x_chf_lieu": 651679,
"y_centroid": 6862280,
"y_chf_lieu": 6862426,
"geo_point_2d": {
"lat": 48.85651820046517,
"lon": 2.342997056061308
}
}Live sample captured at profiling time — values may have changed upstream.
Using the API
Configuration
- Base URL
- https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/geoflar-departements
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/geoflar-departements/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
10 000 req/day
per ipmeasured
observed 2 hours ago
Dataset
Volume & freshness
Records
8
Update cadence
Annual
declared upstream
Last upstream update
8 years ago
2019-03-16
Temporal coverage
2016 → ongoing
License
No license declared upstream.
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Source: opendatasoft
Machine-readable & source
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