Local Urban Plan - Urban Pre-emption RightPLU - Droit de préemption urbain
PLU - Droit de préemption urbainLocal Urban Plan - Urban Pre-emption Right
This dataset provides access to the Local Urban Plan (Plan Local d'Urbanisme, PLU) of the Eurométropole de Strasbourg, specifically the zones subject to the urban pre-emption right (droit de préemption urbain). Binding planning documents can be consulted as PDF map sheets. The PLU was approved by the Eurométropole Council on 6 February 2026 and reflects simplified amendment No. 6. It is published by the Eurométropole de Strasbourg and is useful for consulting local urban planning rules and pre-emption zoning.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 | Subcategory of the urban pre-emption right zone.Subcategory of the urban pre-emption right zone. |
| num_uniqueNum unique | text | Unique identifier of the record.Unique identifier of the record. |
| trig_commTrig comm | text | Municipality code or abbreviation associated with the zone.Municipality code or abbreviation associated with the zone. |
| type_informationType information | text | Code indicating the type of information for the zone.Code indicating the type of information for the zone. |
| surf_m2Surf m2 | text | Surface area of the zone in square meters.Surface area of the zone in square meters. |
| geo_shapeShape | geo_shape | Geographic boundary of the zone as a polygon.Geographic boundary of the zone as a polygon. |
| geo_point_2dCoordinates | geo_point_2d | Geographic coordinates of the zone's centroid.Geographic coordinates of the zone's centroid. |
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 1surf_m2: 937683 · geo_shape: [large value omitted]
{
"surf_m2": "937683",
"geo_shape": "[large value omitted]",
"sous_type": "04_DPU_simple",
"trig_comm": "ROB",
"num_unique": "8412",
"geo_point_2d": {
"lat": 48.633053601508486,
"lon": 7.809021995676558
},
"type_information": "04"
}Record 2surf_m2: 6466 · geo_shape: {"type":"Feature","geometry":{"type":"Po
{
"surf_m2": "6466",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.79206068,
48.62110304
],
[
7.79219666,
48.6211568
],
[
7.79214543,
48.62127488
],
[
7.79203686,
48.62149088
],
[
7.79250438,
48.62165527
],
[
7.79221435,
48.62181375
],
[
7.79213035,
48.62186719
],
[
7.79206446,
48.62190912
],
[
7.79203195,
48.62192979
],
[
7.79196223,
48.62197414
],
[
7.7918932,
48.62201807
],
[
7.79172125,
48.62212745
],
[
7.79167584,
48.62220052
],
[
7.79164066,
48.62222142
],
[
7.79145856,
48.62210764
],
[
7.79152785,
48.62202012
],
[
7.79157934,
48.6219148
],
[
7.79121515,
48.62175924
],
[
7.79115711,
48.62173445
],
[
7.79144464,
48.62143856
],
[
7.79141668,
48.62137795
],
[
7.79140082,
48.62132699
],
[
7.79162076,
48.62097553
],
[
7.79173137,
48.62100759
],
[
7.79206068,
48.62110304
]
]
]
},
"properties": {}
},
"sous_type": "04_DPU_simple",
"trig_comm": "ROB",
"num_unique": "8394",
"geo_point_2d": {
"lat": 48.621574662833886,
"lon": 7.791779940528052
},
"type_information": "04"
}Record 3surf_m2: 35878 · geo_shape: {"type":"Feature","geometry":{"type":"Po
{
"surf_m2": "35878",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
7.72010884,
48.53500799
],
[
7.72015186,
48.53511836
],
[
7.72015757,
48.53523014
],
[
7.72013156,
48.53533984
],
[
7.72005521,
48.5354687
],
[
7.71982284,
48.53581936
],
[
7.71981948,
48.53582331
],
[
7.71970753,
48.53593808
],
[
7.71961034,
48.53591079
],
[
7.71951418,
48.53586409
],
[
7.71931106,
48.53576386
],
[
7.7187657,
48.53557012
],
[
7.71875047,
48.53556476
],
[
7.71874113,
48.53556146
],
[
7.71862404,
48.53551583
],
[
7.71855458,
48.53549128
],
[
7.71850445,
48.53547356
],
[
7.71839082,
48.53545363
],
[
7.71837421,
48.53545072
],
[
7.71804417,
48.53534698
],
[
7.71753632,
48.5352214
],
[
7.7170326,
48.53508921
],
[
7.71657088,
48.53501254
],
[
7.71572105,
48.53487143
],
[
7.71516368,
48.53476703
],
[
7.71477948,
48.53467914
],
[
7.71465434,
48.53465265
],
[
7.714577,
48.53466584
],
[
7.71452745,
48.53465134
],
[
7.71426205,
48.53457353
],
[
7.71413466,
48.53454283
],
[
7.71401244,
48.53450093
],
[
7.71402318,
48.53447772
],
[
7.7141677,
48.53447147
],
[
7.71441331,
48.53449149
],
[
7.71445164,
48.53449777
],
[
7.7144879,
48.53448213
],
[
7.71450588,
48.53446243
],
[
7.71452608,
48.53445461
],
[
7.71456752,
48.53445129
],
[
7.71492834,
48.53439999
],
[
7.71519588,
48.53436177
],
[
7.71553416,
48.5343532
],
[
7.7157373,
48.53435077
],
[
7.71595796,
48.53434697
],
[
7.71607593,
48.53434849
],
[
7.71641557,
48.53436328
],
[
7.71672388,
48.53437529
],
[
7.71709969,
48.53438582
],
[
7.71737027,
48.53439595
],
[
7.71764135,
48.53440251
],
[
7.7179118,
48.53441355
],
[
7.71818179,
48.53442817
],
[
7.71845138,
48.53444548
],
[
7.71872099,
48.53446278
],
[
7.71892353,
48.53447331
],
[
7.71905776,
48.53448598
],
[
7.71914247,
48.53450181
],
[
7.71929139,
48.53452178
],
[
7.7196216,
48.53461637
],
[
7.71984245,
48.53473314
],
[
7.71989527,
48.5347912
],
[
7.71991514,
48.53481305
],
[
7.71991766,
48.53481374
],
[
7.71996468,
48.53482547
],
[
7.71999286,
48.53485523
],
[
7.71998967,
48.53488982
],
[
7.71998945,
48.53489289
],
[
7.72001563,
48.53491787
],
[
7.72010884,
48.53500799
]
]
]
},
"properties": {}
},
"sous_type": "04_DPU_simple",
"trig_comm": "ILG",
"num_unique": "8339",
"geo_point_2d": {
"lat": 48.53490624397437,
"lon": 7.717851511677686
},
"type_information": "04"
}Record 4surf_m2: 389285 · geo_shape: [large value omitted]
{
"surf_m2": "389285",
"geo_shape": "[large value omitted]",
"sous_type": "04_DPU_simple",
"trig_comm": "KOL",
"num_unique": "223973",
"geo_point_2d": {
"lat": 48.56062842247406,
"lon": 7.589368614771345
},
"type_information": "04"
}Record 5surf_m2: 7189004 · geo_shape: [large value omitted]
{
"surf_m2": "7189004",
"geo_shape": "[large value omitted]",
"sous_type": "04_DPU_simple",
"trig_comm": null,
"num_unique": "8409",
"geo_point_2d": {
"lat": 48.53651564579123,
"lon": 7.6944300369203775
},
"type_information": "04"
}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_droit_de_preemption_urbain
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/plui_droit_de_preemption_urbain/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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