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Z

Existing Economic Activity ZonesZones d'activités économiques existantes

Zones d'activités économiques existantesExisting Economic Activity Zones

APIExecutable4/7Query nowOpen workbenchSubscribe🇫🇷France

This dataset provides geographic and descriptive data on existing economic activity zones (business and industrial parks) as recorded in 2022. It is published via the Strasbourg open data portal and covers the Strasbourg area. Detailed information, including field definitions and methodology, is available in an accompanying metadata sheet referenced on the source page. The dataset can be used for local economic planning, spatial analysis, and understanding the distribution of business zones within the territory.Ce jeu contient les données relatives aux zones d'activités économiques existantes en 2022. Vous trouverez les informations détaillées ici: Fiche de métadonnées

42
fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (11 fields)

Filterable via the API (9)
id_zaenom_zaesitu_geosuperficievocacommunethdassoc_entreprisescommentaire

Click a field to see example values.

FillFieldTypeDescription
geo_point_2dGeo Pointgeo_point_2d
geo_shapeShapegeo_shape
id_zaeFilterable via the APIId zaetextIdentifiant numérique non significatif
nom_zaeFilterable via the APINom zaetextNom courant donné à la zone d'activité
situ_geoFilterable via the APISitu geotextCommune(s) ou quartier(s) de Strasbourg où est située la zone
superficieFilterable via the APItextSuperficie calculée (en ha) de la zone
vocaFilterable via the APItextVocation principale
communeFilterable via the APICommunetextNom de la commune principale
thdFilterable via the APItextLe label « Zone d’Activité Très Haut Débit » caractérise l’existence de conditions favorables à la présence d’une offre très haut débit, et garantit la présence sur la ZA d’offres concurrentielles de très haut débit.
assoc_entreprisesFilterable via the APIAssoc entreprisestextNom association d'entreprises
7.6%commentaireFilterable via the APItextCommentaire

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 1thd: non · voca: Commerciale
{
  "thd": "non",
  "voca": "Commerciale",
  "id_zae": "67471-002-01-1",
  "commune": "Souffelweyersheim",
  "nom_zae": "Match",
  "situ_geo": "Souffelweyersheim",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            7.7294897323,
            48.6279282231
          ],
          [
            7.7295971085,
            48.6274946522
          ],
          [
            7.7296551499,
            48.6272644225
          ],
          [
            7.7297734918,
            48.6272742627
          ],
          [
            7.7298410811,
            48.6272787994
          ],
          [
            7.7310614669,
            48.6273708324
          ],
          [
            7.7310482575,
            48.6274346372
          ],
          [
            7.7310351309,
            48.6274980151
          ],
          [
            7.7310219275,
            48.6275617385
          ],
          [
            7.7310134935,
            48.6276025721
          ],
          [
            7.7309918104,
            48.6276692447
          ],
          [
            7.7309520098,
            48.627791642
          ],
          [
            7.7324428746,
            48.6279624361
          ],
          [
            7.7324333171,
            48.6280069735
          ],
          [
            7.7322887094,
            48.6286771664
          ],
          [
            7.732274432,
            48.628743952
          ],
          [
            7.7322698712,
            48.6287652748
          ],
          [
            7.7322649132,
            48.6287884698
          ],
          [
            7.7321213126,
            48.629449341
          ],
          [
            7.7321023666,
            48.6295447967
          ],
          [
            7.7320721851,
            48.6296848762
          ],
          [
            7.7319967247,
            48.6297186285
          ],
          [
            7.730525373,
            48.6294785037
          ],
          [
            7.7301602415,
            48.6293801467
          ],
          [
            7.7300956438,
            48.6293627484
          ],
          [
            7.7300191284,
            48.6293421504
          ],
          [
            7.7298396264,
            48.6292892832
          ],
          [
            7.7296864383,
            48.6292405159
          ],
          [
            7.729292283,
            48.6291087676
          ],
          [
            7.7292221941,
            48.6290183069
          ],
          [
            7.7292432763,
            48.628928396
          ],
          [
            7.7293509215,
            48.6284885889
          ],
          [
            7.7293755355,
            48.628389272
          ],
          [
            7.729413574,
            48.6282357824
          ],
          [
            7.7294897323,
            48.6279282231
          ]
        ]
      ]
    },
    "properties": {}
  },
  "superficie": "5",
  "commentaire": null,
  "geo_point_2d": {
    "lat": 48.628520448718305,
    "lon": 7.730799963253681
  },
  "assoc_entreprises": null
}
Record 2thd: oui · voca: Généraliste
{
  "thd": "oui",
  "voca": "Généraliste",
  "id_zae": "67519-002-01-1",
  "commune": "La Wantzenau",
  "nom_zae": "ZA de la Wantzenau",
  "situ_geo": "La Wantzenau",
  "geo_shape": "[large value omitted]",
  "superficie": "38",
  "commentaire": null,
  "geo_point_2d": {
    "lat": 48.66737623504038,
    "lon": 7.8075160941514765
  },
  "assoc_entreprises": "ZA LA WANTZENAU"
}
Record 3thd: non · voca: Tertiaire
{
  "thd": "non",
  "voca": "Tertiaire",
  "id_zae": "67482-017-01-1",
  "commune": "Strasbourg",
  "nom_zae": "Quartier Wacken",
  "situ_geo": "Strasbourg (Robertsau - Wacken)",
  "geo_shape": "[large value omitted]",
  "superficie": "14",
  "commentaire": null,
  "geo_point_2d": {
    "lat": 48.600629171957436,
    "lon": 7.758026368136722
  },
  "assoc_entreprises": null
}
Record 4thd: non · voca: Spécialisée
{
  "thd": "non",
  "voca": "Spécialisée",
  "id_zae": "67204-004-01-1",
  "commune": "Hoenheim",
  "nom_zae": "Pôle automobile",
  "situ_geo": "Hoenheim, Bischheim",
  "geo_shape": "[large value omitted]",
  "superficie": "16",
  "commentaire": null,
  "geo_point_2d": {
    "lat": 48.619888566283294,
    "lon": 7.728691927654009
  },
  "assoc_entreprises": null
}
Record 5thd: non · voca: Logistique / Industrielle
{
  "thd": "non",
  "voca": "Logistique / Industrielle",
  "id_zae": "67218-004-01-1",
  "commune": "Illkirch-Graffenstaden",
  "nom_zae": "ZI Sud",
  "situ_geo": "Illkirch-Graffenstaden",
  "geo_shape": "[large value omitted]",
  "superficie": "50",
  "commentaire": null,
  "geo_point_2d": {
    "lat": 48.50909288590691,
    "lon": 7.711199989818337
  },
  "assoc_entreprises": null
}

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/zones_dactivites_economiques_existantes

License

  • Redistributable
  • Attribution required

Query examples

curl -s 'https://data.strasbourg.eu/api/explore/v2.1/catalog/datasets/zones_dactivites_economiques_existantes/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.

Full API documentation ↗

Rate limits

2 000 000 req/day
per ipmeasured
observed 6 days ago

Dataset

Volume & freshness

Records
118
Last upstream update
4 years ago
2022-08-30

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

Zones d'activités économiques existantes — live verification badge

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