Geographic blocks (îlots) of Rennes MétropoleIlots géographiques sur Rennes Métropole
Ilots géographiques sur Rennes MétropoleGeographic blocks (îlots) of Rennes Métropole
This dataset provides the geographic blocks (îlots) delineated across the territory of Rennes Métropole, France. These blocks result from dividing the territory according to road networks and certain other surface topographic features. The precision, construction method, and update frequency of the data may vary depending on the specific area covered. The dataset is published and maintained by Rennes Métropole and is made freely available without authentication through its open-data portal, supporting spatial analysis and territorial planning at the local level.Cette couche contient les ilots géographiques constitués sur le territoire de Rennes Métropole. Ces ilots correspondent à un découpage du territoire selon les voiries et certains autres éléments topographiques de surface. Selon le territoire, la constitution, la mise à jour des données et la préc...
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Data schema (8 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic centroid coordinates of the block.Geographic centroid coordinates of the block. |
| geo_shapeShape | geo_shape | Polygon geometry outlining the boundaries of the geographic block.Polygon geometry outlining the boundaries of the geographic block. |
| gml_idGml id | text | Unique GML identifier of the geographic block feature.Unique GML identifier of the geographic block feature. |
| objectid | int | Internal record identifier.Internal record identifier. |
| code_inseeINSEE commune code | double | INSEE code of the commune containing the block.INSEE code of the commune containing the block. |
| habitat | int | Indicator flag related to housing/habitat status of the block.Indicator flag related to housing/habitat status of the block. |
| saisie_manuelSaisie manuel | int | Flag indicating whether the block was manually entered.Flag indicating whether the block was manually entered. |
| date | datetime | Date and time the record was last updated.Date and time the record was last updated. |
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)
Record 1date: 2026-10-19T05:00:15+00:00 · gml_id: v_ilot_topo.-2289
{
"date": "2026-10-19T05:00:15+00:00",
"gml_id": "v_ilot_topo.-2289",
"habitat": 0,
"objectid": -2289,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.677889758060531,
48.00191205703654
],
[
-1.677919948097247,
48.00190145478522
],
[
-1.6779495859949,
48.00189101066954
],
[
-1.677950840326357,
48.00189256264628
],
[
-1.677954477601308,
48.00189706291104
],
[
-1.677959312712593,
48.00190677438198
],
[
-1.677961561640422,
48.00191690172211
],
[
-1.677961155995282,
48.00192713738322
],
[
-1.677958108161786,
48.00193717025334
],
[
-1.677952510713242,
48.001946695502475
],
[
-1.677944533863983,
48.00195542351728
],
[
-1.6779344193748,
48.001963089701164
],
[
-1.677922475329076,
48.001969460544565
],
[
-1.677909064322103,
48.00197434257667
],
[
-1.677894593858805,
48.001977587532906
],
[
-1.67787950360146,
48.001979096839705
],
[
-1.677864252211673,
48.00197882458395
],
[
-1.677849302724544,
48.001976779100524
],
[
-1.677835109750657,
48.00197302250283
],
[
-1.677822104407644,
48.00196766886418
],
[
-1.677816037029171,
48.00196406335495
],
[
-1.677908674397532,
48.0019193055322
],
[
-1.677889758060531,
48.00191205703654
]
]
]
]
},
"properties": {}
},
"code_insee": 35363,
"geo_point_2d": {
"lat": 48.00194244816338,
"lon": -1.677903860781957
},
"saisie_manuel": 0
}Record 2date: 2019-05-22T04:19:30+00:00 · gml_id: v_ilot_topo.473
{
"date": "2019-05-22T04:19:30+00:00",
"gml_id": "v_ilot_topo.473",
"habitat": 0,
"objectid": 473,
"geo_shape": "[large value omitted]",
"code_insee": 35238,
"geo_point_2d": {
"lat": 48.09715158668289,
"lon": -1.7068678944627635
},
"saisie_manuel": 1
}Record 3date: 2026-10-19T05:00:15+00:00 · gml_id: v_ilot_topo.-3142
{
"date": "2026-10-19T05:00:15+00:00",
"gml_id": "v_ilot_topo.-3142",
"habitat": 0,
"objectid": -3142,
"geo_shape": "[large value omitted]",
"code_insee": 35051,
"geo_point_2d": {
"lat": 48.11661395588248,
"lon": -1.602258270223261
},
"saisie_manuel": 0
}Record 4date: 2020-10-13T04:20:51+00:00 · gml_id: v_ilot_topo.610
{
"date": "2020-10-13T04:20:51+00:00",
"gml_id": "v_ilot_topo.610",
"habitat": 1,
"objectid": 610,
"geo_shape": "[large value omitted]",
"code_insee": 35238,
"geo_point_2d": {
"lat": 48.11799923559586,
"lon": -1.6627082500354309
},
"saisie_manuel": 1
}Record 5date: 2026-10-19T05:00:15+00:00 · gml_id: v_ilot_topo.-129
{
"date": "2026-10-19T05:00:15+00:00",
"gml_id": "v_ilot_topo.-129",
"habitat": 0,
"objectid": -129,
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.794409326513622,
48.07998759248791
],
[
-1.794461713757211,
48.079978084731145
],
[
-1.794449431527928,
48.08007406429939
],
[
-1.79444334075245,
48.08007142930822
],
[
-1.794431365926572,
48.08006703951748
],
[
-1.7943703731567,
48.08004839988637
],
[
-1.794357573170378,
48.08004521864497
],
[
-1.794293192639815,
48.08003269865139
],
[
-1.794279840760737,
48.08003079403836
],
[
-1.794217845988484,
48.08002506555355
],
[
-1.794361173689693,
48.079994738306354
],
[
-1.794409326513622,
48.07998759248791
]
]
]
]
},
"properties": {}
},
"code_insee": 35196,
"geo_point_2d": {
"lat": 48.080022185994636,
"lon": -1.7943808007592845
},
"saisie_manuel": 0
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/ilot_geographique
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/ilot_geographique/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.