[Housing Observatory] Priority Neighbourhoods for Urban Policy (QPV) 2024[Observatoire habitat] Quartiers prioritaires de la politique de la ville (QPV) 2024
[Observatoire habitat] Quartiers prioritaires de la politique de la ville (QPV) 2024[Housing Observatory] Priority Neighbourhoods for Urban Policy (QPV) 2024
This dataset, published by the Aix-Marseille-Provence Metropolis as part of its Housing Observatory, provides the 2024 boundaries of Priority Neighbourhoods for Urban Policy (QPV) within the metropolitan area. These perimeters stem from the French law on urban planning and cohesion of 21 February 2014, which reformed the priority geography of urban policy, replacing former sensitive urban zones (ZUS) and urban contract neighbourhoods. The data supports spatial analysis, urban policy planning, and identification of areas eligible for targeted social and economic measures within the metropolis.La loi de programmation pour la Ville et la cohésion urbaine du 21 février 2014 prévoit, dans son article 5, les modalités de réforme de la géographie prioritaire de la politique de la ville. Ces périmètres viennent se substituer aux zones urbaines sensibles ( Zus ) et aux quartiers en contrat ur...
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Data schema (7 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| code_qpCode quartier | text | Unique code identifying the priority neighborhood (QPV).Unique code identifying the priority neighborhood (QPV). |
| lib_qpNom du quartier | text | Name of the priority neighborhood.Name of the priority neighborhood. |
| commune_qpCommune | text | Name of the commune or arrondissement containing the neighborhood.Name of the commune or arrondissement containing the neighborhood. |
| codeinseeCode commune INSEE | text | INSEE code of the commune.INSEE code of the commune. |
| geo_shapeShape | geo_shape | Geographic boundary polygon of the neighborhood.Geographic boundary polygon of the neighborhood. |
| geo_point_2dCoordinates | geo_point_2d | Geographic coordinates (latitude and longitude) of the neighborhood.Geographic coordinates (latitude and longitude) of the neighborhood. |
| nom_divNom div | text | Name of the parent administrative division or city.Name of the parent administrative division or city. |
Schema captured from opendatasoft 6 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 1lib_qp: Saint Henri · code_qp: QN01303I
{
"lib_qp": "Saint Henri",
"code_qp": "QN01303I",
"nom_div": "Marseille",
"codeinsee": "13055",
"geo_shape": "[large value omitted]",
"commune_qp": "Marseille 16e Arrondissement",
"geo_point_2d": {
"lat": 43.35995247218642,
"lon": 5.332523844188712
}
}Record 2lib_qp: La Viste · code_qp: QN01304I
{
"lib_qp": "La Viste",
"code_qp": "QN01304I",
"nom_div": "Marseille",
"codeinsee": "13055",
"geo_shape": "[large value omitted]",
"commune_qp": "Marseille 15e Arrondissement",
"geo_point_2d": {
"lat": 43.3572728669158,
"lon": 5.358529921381228
}
}Record 3lib_qp: Château Saint Loup · code_qp: QN01307M
{
"lib_qp": "Château Saint Loup",
"code_qp": "QN01307M",
"nom_div": "Marseille",
"codeinsee": "13055",
"geo_shape": "[large value omitted]",
"commune_qp": "Marseille 10e Arrondissement",
"geo_point_2d": {
"lat": 43.2759192897818,
"lon": 5.433945383948043
}
}Record 4lib_qp: Secteur Centre · code_qp: QN01317I
{
"lib_qp": "Secteur Centre",
"code_qp": "QN01317I",
"nom_div": "Vitrolles",
"codeinsee": "13117",
"geo_shape": "[large value omitted]",
"commune_qp": "Vitrolles",
"geo_point_2d": {
"lat": 43.441160699024316,
"lon": 5.254997633270053
}
}Record 5lib_qp: Benza · code_qp: QN01336M
{
"lib_qp": "Benza",
"code_qp": "QN01336M",
"nom_div": "Marseille",
"codeinsee": "13055",
"geo_shape": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
5.420204839046647,
43.27997567369562
],
[
5.42001589901984,
43.280312261210575
],
[
5.420776590090937,
43.28054831220308
],
[
5.422222773031417,
43.28098473914697
],
[
5.42319572207961,
43.28143164667552
],
[
5.423386707675624,
43.28116475529839
],
[
5.423570854805009,
43.28091694530589
],
[
5.422618669709319,
43.28047363747758
],
[
5.423045344933127,
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],
[
5.423403767073815,
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],
[
5.423223233638898,
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],
[
5.423222364095981,
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],
[
5.423288225204294,
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],
[
5.424337786302193,
43.2786254023111
],
[
5.423623375416966,
43.27790142002385
],
[
5.422414624857887,
43.27884652005118
],
[
5.422352017329037,
43.278951845674314
],
[
5.422121715373985,
43.27915171311845
],
[
5.4217765337964625,
43.27945807619172
],
[
5.421695018791468,
43.27959555387847
],
[
5.4216247593017215,
43.27965548756208
],
[
5.420877343755552,
43.27930263650122
],
[
5.421214233228466,
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],
[
5.4212645746388155,
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],
[
5.421319388745234,
43.278888988626235
],
[
5.421389517587351,
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],
[
5.4213234474162375,
43.27877811080489
],
[
5.421734036125148,
43.278453449197805
],
[
5.420690003349936,
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],
[
5.420380205786992,
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],
[
5.420396654935831,
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],
[
5.420210413395429,
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],
[
5.420147621791793,
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],
[
5.419922947698025,
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],
[
5.419677071390727,
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],
[
5.4208192349277144,
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],
[
5.420659664569176,
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],
[
5.420860598969273,
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],
[
5.420845770417865,
43.279307214745906
],
[
5.420792382554974,
43.27931080850192
],
[
5.420630151097034,
43.2794669026506
],
[
5.420616124363339,
43.279468334679855
],
[
5.420569057655616,
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],
[
5.420577944022525,
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],
[
5.4204967295054205,
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],
[
5.420085876813351,
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],
[
5.420204839046647,
43.27997567369562
]
]
]
},
"properties": {}
},
"commune_qp": "Marseille 10e Arrondissement",
"geo_point_2d": {
"lat": 43.279522125805265,
"lon": 5.4219786747942855
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
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Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/amest_pdv_qpv_2024_amp-
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- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/amest_pdv_qpv_2024_amp-/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.
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