Number and Type of Housing Units per Cadastral Parcel in Rennes MétropoleNombre et type de logement à la parcelle cadastrale sur le territoire de Rennes Métropole
Nombre et type de logement à la parcelle cadastrale sur le territoire de Rennes MétropoleNumber and Type of Housing Units per Cadastral Parcel in Rennes Métropole
This API provides a geographic layer describing the number of housing units per cadastral parcel within the Rennes Métropole territory, distinguishing between individual and collective housing. It covers only built cadastral parcels for which the number and type of housing units are documented, based on the most up-to-date MAJIC3 land registry files. The dataset is published and maintained by Rennes Métropole and is useful for local housing analysis, urban planning, and land-use studies at the parcel level within the metropolitan area.Cette couche décrit le nombre de logement à la parcelle et différencie les parcelles à habitat individuel ou collectif. Cette donnée contient uniquement les parcelles cadastrales bâties renseignées du nombre et type de lvogement issus des fichiers MAJIC3 les plus à jour.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| geo_point_2dGeo Point | geo_point_2d | Geographic coordinates of the parcel's centroid.Geographic coordinates of the parcel's centroid. |
| geo_shapeShape | geo_shape | Geometric shape of the cadastral parcel.Geometric shape of the cadastral parcel. |
| gml_idGml id | text | Unique GML identifier for the parcel record.Unique GML identifier for the parcel record. |
| objectid | int | Internal record identifier.Internal record identifier. |
| parcelle | text | Cadastral parcel reference code.Cadastral parcel reference code. |
| nb_logementNb logement | int | Number of dwellings on the parcel.Number of dwellings on the parcel. |
| type_logementType logement | text | Type of housing, individual or collective.Type of housing, individual or collective. |
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 1gml_id: cadastre_parcelle_logement.350240000AA00 · objectid: 70114
{
"gml_id": "cadastre_parcelle_logement.350240000AA0090",
"objectid": 70114,
"parcelle": "350240000AA0090",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.792190341025218,
48.10436724134284
],
[
-1.792259230473212,
48.10425578002909
],
[
-1.792280754680324,
48.10422099920333
],
[
-1.79235157180916,
48.10410567259046
],
[
-1.792445959931042,
48.10414265031596
],
[
-1.792490775511478,
48.10416015691786
],
[
-1.792579945742246,
48.10419600033151
],
[
-1.792496473865588,
48.104306898289906
],
[
-1.79247641068553,
48.10433278690011
],
[
-1.792391975714396,
48.104442012710415
],
[
-1.792312595181059,
48.10441161856508
],
[
-1.792260325169369,
48.10439207962763
],
[
-1.792220174219729,
48.10437699183902
],
[
-1.792190341025218,
48.10436724134284
]
]
]
]
},
"properties": {}
},
"nb_logement": 1,
"geo_point_2d": {
"lat": 48.104274417200976,
"lon": -1.7923807931389777
},
"type_logement": "Individuel"
}Record 2gml_id: cadastre_parcelle_logement.350024000AL01 · objectid: 4004
{
"gml_id": "cadastre_parcelle_logement.350024000AL0179",
"objectid": 4004,
"parcelle": "350024000AL0179",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.63514887844898,
48.18257050980383
],
[
-1.635006210386195,
48.182736816404876
],
[
-1.635249719440575,
48.182828650273436
],
[
-1.635260149454027,
48.182815796186524
],
[
-1.635347985852731,
48.1827079209041
],
[
-1.635384289997196,
48.18266519221953
],
[
-1.635323761430087,
48.182640868290044
],
[
-1.635233316422321,
48.1826045034922
],
[
-1.63514887844898,
48.18257050980383
]
]
]
]
},
"properties": {}
},
"nb_logement": 1,
"geo_point_2d": {
"lat": 48.182700270378284,
"lon": -1.6351962808382934
},
"type_logement": "Individuel"
}Record 3gml_id: cadastre_parcelle_logement.350204000AE02 · objectid: 40343
{
"gml_id": "cadastre_parcelle_logement.350204000AE0212",
"objectid": 40343,
"parcelle": "350204000AE0212",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.546445693684212,
48.03685176073621
],
[
-1.546308286589196,
48.03692378494982
],
[
-1.546333131742624,
48.036945055816645
],
[
-1.546390967335227,
48.03699466318999
],
[
-1.546466676829908,
48.0370596005382
],
[
-1.546523197126184,
48.03710799853973
],
[
-1.546586503248143,
48.03707476789028
],
[
-1.546660470534368,
48.03703597937285
],
[
-1.546599578191151,
48.036983700073506
],
[
-1.546528240626695,
48.036922644179505
],
[
-1.546470404982947,
48.03687303687455
],
[
-1.546445693684212,
48.03685176073621
]
]
]
]
},
"properties": {}
},
"nb_logement": 1,
"geo_point_2d": {
"lat": 48.036979891476435,
"lon": -1.5464843988972166
},
"type_logement": "Individuel"
}Record 4gml_id: cadastre_parcelle_logement.350059000AM03 · objectid: 21994
{
"gml_id": "cadastre_parcelle_logement.350059000AM0320",
"objectid": 21994,
"parcelle": "350059000AM0320",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.732197907629776,
48.170388394286746
],
[
-1.732144846578902,
48.17033137320545
],
[
-1.732171683424905,
48.17031116659873
],
[
-1.732395840557147,
48.17014254642765
],
[
-1.732488636995214,
48.17019072497258
],
[
-1.732275799316085,
48.17042096590421
],
[
-1.732254468584185,
48.17044391981334
],
[
-1.732197907629776,
48.170388394286746
]
]
]
]
},
"properties": {}
},
"nb_logement": 1,
"geo_point_2d": {
"lat": 48.170286828016124,
"lon": -1.7323122800154895
},
"type_logement": "Individuel"
}Record 5gml_id: cadastre_parcelle_logement.350210000AE01 · objectid: 45396
{
"gml_id": "cadastre_parcelle_logement.350210000AE0140",
"objectid": 45396,
"parcelle": "350210000AE0140",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
-1.789386757842625,
48.15150751930524
],
[
-1.789305781567986,
48.151569374205216
],
[
-1.789223169636844,
48.15163246860904
],
[
-1.789086756595526,
48.151583266425845
],
[
-1.788948818119053,
48.15153358689105
],
[
-1.788985737512516,
48.151487443560455
],
[
-1.789021683776786,
48.15144242209266
],
[
-1.789063510065239,
48.15139111819774
],
[
-1.789197273631465,
48.1514393492876
],
[
-1.789308596796461,
48.15147941267596
],
[
-1.789386757842625,
48.15150751930524
]
]
]
]
},
"properties": {}
},
"nb_logement": 1,
"geo_point_2d": {
"lat": 48.15151432588144,
"lon": -1.7891573710051853
},
"type_logement": "Individuel"
}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/nombre-et-type-de-logement-a-la-parcelle-cadastrale-sur-le-territoire-de-rennes-
Query examples
curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/nombre-et-type-de-logement-a-la-parcelle-cadastrale-sur-le-territoire-de-rennes-/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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