LUP - Development Tax Zoning AreasPLU - Périmètres des taxes d'aménagement
PLU - Périmètres des taxes d'aménagementLUP - Development Tax Zoning Areas
This API provides access to zoning data related to the Local Urban Plan (Plan Local d'Urbanisme, PLU) of the Eurométropole de Strasbourg, specifically the perimeters used for development tax purposes. The underlying planning document, approved by the Eurométropole Council and kept up to date through simplified amendments, defines land-use rules and can be consulted as PDF plates. The dataset is published on the Strasbourg open-data portal and is useful for professionals and residents needing to identify applicable urban planning and taxation zones within the metropolitan area.'Cette carte permet de consulter le PLU de l'Eurométropole. Les documents opposables sont consultables sous forme de planches PDF . Plan Local d'Urbanisme (PLU) de l’Eurométropole approuvé en Conseil d’Eurométropole du 6 février 2026. A jour de la modification simplifiée n°6. Le PLU est le projet...
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Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| sous_typeSous type | text | Subtype code identifying the development tax zone category.Subtype code identifying the development tax zone category. |
| num_uniqueNum unique | text | Unique identifier number for the record.Unique identifier number for the record. |
| trig_commTrig comm | text | Municipality code or abbreviation for the commune.Municipality code or abbreviation for the commune. |
| type_informationType information | text | Code indicating the type of planning information.Code indicating the type of planning information. |
| surf_m2Surf m2 | text | Area of the zone in square meters.Area of the zone in square meters. |
| geo_shapeShape | geo_shape | Geographic polygon boundary of the zone.Geographic polygon boundary of the zone. |
| geo_point_2dCoordinates | geo_point_2d | Geographic coordinates (latitude and longitude) of the zone's center.Geographic coordinates (latitude and longitude) of the zone's center. |
Schema captured from opendatasoft 3 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 1surf_m2: 25404 · geo_shape: {"type":"Feature","geometry":{"type":"Po
{
"surf_m2": "25404",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.65992963,
48.58779523
],
[
7.6600683,
48.58708002
],
[
7.66025943,
48.58708252
],
[
7.6603861,
48.58708419
],
[
7.66043053,
48.58708476
],
[
7.66070488,
48.58708867
],
[
7.66121837,
48.58709599
],
[
7.66127257,
48.58709675
],
[
7.66139518,
48.5870985
],
[
7.66139315,
48.58711292
],
[
7.66138528,
48.58716917
],
[
7.66133241,
48.58754633
],
[
7.66186297,
48.58754987
],
[
7.66187653,
48.58754995
],
[
7.66185795,
48.58769171
],
[
7.66126313,
48.58804055
],
[
7.661125,
48.58874629
],
[
7.66101381,
48.58928508
],
[
7.66089253,
48.58927351
],
[
7.6608522,
48.58926999
],
[
7.66030863,
48.58922238
],
[
7.65998582,
48.58919412
],
[
7.65986017,
48.58918311
],
[
7.65966383,
48.58916591
],
[
7.65992963,
48.58779523
]
]
]
},
"properties": {}
},
"sous_type": "32_TA_10",
"trig_comm": "WOL",
"num_unique": "210080",
"geo_point_2d": {
"lat": 48.588138303073855,
"lon": 7.660603115057516
},
"type_information": "32"
}Record 2surf_m2: 171379 · geo_shape: [large value omitted]
{
"surf_m2": "171379",
"geo_shape": "[large value omitted]",
"sous_type": "32_TA_0",
"trig_comm": "NDR",
"num_unique": "8351",
"geo_point_2d": {
"lat": 48.572857854084376,
"lon": 7.755199769538169
},
"type_information": "32"
}Record 3surf_m2: 56539 · geo_shape: {"type":"Feature","geometry":{"type":"Po
{
"surf_m2": "56539",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.77149592,
48.57340157
],
[
7.77145131,
48.5734053
],
[
7.77103969,
48.57343984
],
[
7.77097069,
48.57344535
],
[
7.77070119,
48.57346779
],
[
7.76982993,
48.57354045
],
[
7.76974893,
48.57354709
],
[
7.76946444,
48.57357158
],
[
7.76890069,
48.5736201
],
[
7.7688253,
48.57362646
],
[
7.76878537,
48.57362981
],
[
7.7687683,
48.57363123
],
[
7.76872945,
48.57363449
],
[
7.76800766,
48.57369403
],
[
7.76800402,
48.57369425
],
[
7.76797527,
48.5736967
],
[
7.76718317,
48.57376207
],
[
7.76714651,
48.57376517
],
[
7.76708155,
48.5736325
],
[
7.76701397,
48.57349378
],
[
7.7669179,
48.57334444
],
[
7.76683896,
48.57324707
],
[
7.7668015,
48.57320088
],
[
7.76671946,
48.5731155
],
[
7.76661505,
48.57297521
],
[
7.76649971,
48.57283869
],
[
7.7663736,
48.57270641
],
[
7.76632157,
48.57265537
],
[
7.76630985,
48.57264518
],
[
7.76631704,
48.57263063
],
[
7.766472,
48.57259955
],
[
7.76667572,
48.5725537
],
[
7.76720605,
48.57243996
],
[
7.76745718,
48.57238963
],
[
7.76855002,
48.5721706
],
[
7.77004173,
48.57187165
],
[
7.77062289,
48.57175518
],
[
7.77084744,
48.57171017
],
[
7.77124687,
48.57250769
],
[
7.77126431,
48.5725425
],
[
7.77131663,
48.57264675
],
[
7.77133396,
48.57268158
],
[
7.77168648,
48.57338543
],
[
7.77156375,
48.57339567
],
[
7.77149592,
48.57340157
]
]
]
},
"properties": {}
},
"sous_type": "32_TA_0",
"trig_comm": null,
"num_unique": "8356",
"geo_point_2d": {
"lat": 48.57284152406201,
"lon": 7.769142324542587
},
"type_information": "32"
}Record 4surf_m2: 16189 · geo_shape: {"type":"Feature","geometry":{"type":"Po
{
"surf_m2": "16189",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.73245726,
48.52688927
],
[
7.73252226,
48.52612166
],
[
7.73272627,
48.52639606
],
[
7.73291909,
48.52659787
],
[
7.73311628,
48.52677024
],
[
7.73313675,
48.52678812
],
[
7.73324183,
48.52686561
],
[
7.73337765,
48.52696571
],
[
7.7338664,
48.52733049
],
[
7.73392908,
48.5275106
],
[
7.73320807,
48.52824025
],
[
7.73300811,
48.52843289
],
[
7.73247726,
48.52846899
],
[
7.7324466,
48.52708879
],
[
7.73244571,
48.52704833
],
[
7.73245726,
48.52688927
]
]
]
},
"properties": {}
},
"sous_type": "32_TA_0",
"trig_comm": "ILG",
"num_unique": "8355",
"geo_point_2d": {
"lat": 48.527468965725326,
"lon": 7.732991709150615
},
"type_information": "32"
}Record 5surf_m2: 133486 · geo_shape: [large value omitted]
{
"surf_m2": "133486",
"geo_shape": "[large value omitted]",
"sous_type": "32_TA_0",
"trig_comm": "REI",
"num_unique": "8424",
"geo_point_2d": {
"lat": 48.651270826497885,
"lon": 7.752021760023693
},
"type_information": "32"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/plui_ta
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/plui_ta/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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