IRIS GPS 2022 (LAMB93)
This dataset provides the 2022 IRIS boundaries (Îlots Regroupés pour l'Information Statistique, the small statistical geographic units used by INSEE) for the Grand Paris Sud area, produced by France's national mapping agency, the Institut national de l'information géographique et forestière (IGN). Coordinates are given in the Lambert 93 (LAMB93) projection system. The data is useful for statistical analysis, spatial planning, and mapping at a fine local geographic scale.Contours IRIS 2022 par l'IGN
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (8 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | — |
| geo_shapeShape | geo_shape | — |
| insee_comINSEE commune code | text | — |
| nom_comNom com | text | — |
| iris | text | — |
| code_irisCode iris | text | — |
| nom_irisNom iris | text | — |
| typ_irisTyp iris | text | — |
Schema captured from opendatasoft 7 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 1iris: 0106 · nom_com: Évry-Courcouronnes
{
"iris": "0106",
"nom_com": "Évry-Courcouronnes",
"nom_iris": "Centre Urbain Coquibus",
"typ_iris": "H",
"code_iris": "912280106",
"geo_shape": "[large value omitted]",
"insee_com": "91228",
"geo_point_2d": {
"lat": 48.62179050466701,
"lon": 2.430367668241718
}
}Record 2iris: 0202 · nom_com: Combs-la-Ville
{
"iris": "0202",
"nom_com": "Combs-la-Ville",
"nom_iris": "La Closerie-Les Aulnes",
"typ_iris": "H",
"code_iris": "771220202",
"geo_shape": "[large value omitted]",
"insee_com": "77122",
"geo_point_2d": {
"lat": 48.662036636332765,
"lon": 2.557321588084494
}
}Record 3iris: 0000 · nom_com: Tigery
{
"iris": "0000",
"nom_com": "Tigery",
"nom_iris": "Tigery",
"typ_iris": "Z",
"code_iris": "916170000",
"geo_shape": "[large value omitted]",
"insee_com": "91617",
"geo_point_2d": {
"lat": 48.64411619462127,
"lon": 2.5192755004342646
}
}Record 4iris: 0103 · nom_com: Bondoufle
{
"iris": "0103",
"nom_com": "Bondoufle",
"nom_iris": "Trois Parts Sud-Ouest",
"typ_iris": "H",
"code_iris": "910860103",
"geo_shape": "[large value omitted]",
"insee_com": "91086",
"geo_point_2d": {
"lat": 48.608831975231745,
"lon": 2.369453872160126
}
}Record 5iris: 0102 · nom_com: Grigny
{
"iris": "0102",
"nom_com": "Grigny",
"nom_iris": "Village",
"typ_iris": "H",
"code_iris": "912860102",
"geo_shape": "[large value omitted]",
"insee_com": "91286",
"geo_point_2d": {
"lat": 48.65727614022371,
"lon": 2.3846107982679117
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/iris-gps-2022-lamb93
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/iris-gps-2022-lamb93/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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