IRIS GPS 2022 (LAMB93)
Published by Institut national de l'information géographique et forestière
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 | Geographic coordinates of the IRIS area centroid.Geographic coordinates of the IRIS area centroid. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the IRIS area boundary.Polygon geometry outlining the IRIS area boundary. |
| insee_comINSEE commune code | text | INSEE code identifying the commune.INSEE code identifying the commune. |
| nom_comNom com | text | Name of the commune.Name of the commune. |
| iris | text | Local IRIS unit number within the commune.Local IRIS unit number within the commune. |
| code_irisCode iris | text | National IRIS code combining commune and IRIS number.National IRIS code combining commune and IRIS number. |
| nom_irisNom iris | text | Name of the IRIS district.Name of the IRIS district. |
| typ_irisTyp iris | text | Type category code of the IRIS unit.Type category code of the IRIS unit. |
Schema captured from opendatasoft 2 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)
These rows are ODbL-1.0: share-alike. Reusing them obliges you to license any derived database on the same terms.
Record 1iris: 0108 · nom_com: Évry-Courcouronnes
{
"iris": "0108",
"nom_com": "Évry-Courcouronnes",
"nom_iris": "Aunettes Est",
"typ_iris": "H",
"code_iris": "912280108",
"geo_shape": "[large value omitted]",
"insee_com": "91228",
"geo_point_2d": {
"lat": 48.61822626927318,
"lon": 2.4382847818610163
}
}Record 2iris: 0102 · nom_com: Saint-Germain-lès-Corbeil
{
"iris": "0102",
"nom_com": "Saint-Germain-lès-Corbeil",
"nom_iris": "Ouest",
"typ_iris": "H",
"code_iris": "915530102",
"geo_shape": "[large value omitted]",
"insee_com": "91553",
"geo_point_2d": {
"lat": 48.622552902411435,
"lon": 2.4849161456151294
}
}Record 3iris: 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 4iris: 0102 · nom_com: Ris-Orangis
{
"iris": "0102",
"nom_com": "Ris-Orangis",
"nom_iris": "Mairie-Gare",
"typ_iris": "H",
"code_iris": "915210102",
"geo_shape": "[large value omitted]",
"insee_com": "91521",
"geo_point_2d": {
"lat": 48.65547852614907,
"lon": 2.4163956363049417
}
}Record 5iris: 0105 · nom_com: Lisses
{
"iris": "0105",
"nom_com": "Lisses",
"nom_iris": "Z.A. Ouest A6",
"typ_iris": "A",
"code_iris": "913400105",
"geo_shape": "[large value omitted]",
"insee_com": "91340",
"geo_point_2d": {
"lat": 48.60207412834366,
"lon": 2.4325361336974347
}
}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
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.