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Annual Consumption by IRIS Zone (2012 to 2017) for Grand Paris SudConsommation annuelle par IRIS (2012 à 2017) sur Grand Paris Sud

Consommation annuelle par IRIS (2012 à 2017) sur Grand Paris SudAnnual Consumption by IRIS Zone (2012 to 2017) for Grand Paris Sud

APIJoinable5/7Query nowOpen workbenchSubscribe🇫🇷France

This dataset presents annual gas and electricity consumption (in MWh) of industrial sites connected to the transport networks of NaTran, Teréga and RTE, along with their number, broken down by IRIS geographic zones (based on the latest available 2023 reference framework). IRIS zones ('Ilots Regroupés pour l'Information Statistique') are small statistical units used by INSEE for infra-municipal analysis. The data covers the period 2012 to 2017 and is published via the Grand Paris Sud open data portal, allowing analysis of local energy consumption patterns by industrial sites across French territory.”, though scoped nationally despite the portal's local branding.Ce jeu de données présente les consommations de gaz et d'électricité annuelles (MWh) des sites industriels raccordés aux réseaux de transport de NaTran, Teréga et RTE, et leur nombre, par maille géographique IRIS (dernier référentiel disponible 2023) . Les mailles IRIS (Ilots Regroupés pour l'Inf...

42
fair

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

Data schema (18 fields)

Filterable via the API (16)
anneecode_irisconsommation_gaz_grtgazpdl_gaz_grtgazconsommation_gaz_teregapdl_gaz_teregaconsommation_electricite_rtepdl_electricite_rteconsommation_totalepdl_totalcode_insee_communecommunecode_insee_departementdepartementcode_insee_regionregion

Click a field to see example values.

FillFieldTypeDescription
100%anneeFilterable via the APIAnnéedateYear of the recorded consumption data.Année
100%code_irisFilterable via the APICode iristextINSEE code identifying the IRIS zone.Code INSEE de la zone IRIS
89%consommation_gaz_grtgazFilterable via the APIConsommation gaz (MWh) - GRTgazdoubleAnnual gas consumption in MWh from the GRTgaz network.Annual gas consumption in MWh from the GRTgaz network.
89%pdl_gaz_grtgazFilterable via the APIPdl gaz grtgazintNumber of gas delivery points connected to GRTgaz.Number of gas delivery points connected to GRTgaz.
79.5%consommation_gaz_teregaFilterable via the APIConsommation gaz (MWh) - TerégadoubleAnnual gas consumption in MWh from the Teréga network.Annual gas consumption in MWh from the Teréga network.
79.5%pdl_gaz_teregaFilterable via the APIPDL gaz - TerégaintNumber of gas delivery points connected to Teréga.Number of gas delivery points connected to Teréga.
91.3%consommation_electricite_rteFilterable via the APIConsommation électricité (MWh) - RTEdoubleAnnual electricity consumption in MWh from the RTE network.Annual electricity consumption in MWh from the RTE network.
91.3%pdl_electricite_rteFilterable via the APIPDL électricité - RTEintNumber of electricity delivery points connected to RTE.Number of electricity delivery points connected to RTE.
79.5%consommation_totaleFilterable via the APIConsommation totale (MWh)doubleTotal annual gas and electricity consumption in MWh.Consommation totale de gaz et d'électricité en MWh
79.5%pdl_totalFilterable via the APIPdl totalintTotal number of gas and electricity delivery points.Nombre total de points de livraison de gaz et d'électricité
—code_insee_communeFilterable via the APIINSEE commune codetextINSEE code of the municipality (commune).Code INSSE de la commune
—communeFilterable via the APICommunetextName of the municipality.Nom de la commune
—code_insee_departementFilterable via the APICode INSEE départementtextINSEE code of the département.Code INSEE du département
—departementFilterable via the APItextName of the département.Nom du département
—code_insee_regionFilterable via the APICode INSEE régiontextINSEE code of the region.Code INSEE de la région
—regionFilterable via the APItextName of the region.Nom de la région
—geo_shape_irisGéo-shape IRISgeo_shapeGeographic boundary shape of the IRIS zone.Géo-shape du contour de la zone IRIS
—geo_point_irisGéo-point IRISgeo_point_2dGeographic coordinates of the IRIS zone's centroid.Géo-point du centre de la zone IRIS

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.

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Sample data (5 records)

Record 1annee: 2017 · region: Île-de-France
{
  "annee": "2017",
  "region": "Île-de-France",
  "commune": "Grigny",
  "code_iris": "912860103",
  "pdl_total": 2,
  "departement": "Essonne",
  "geo_point_iris": {
    "lat": 48.6483898326,
    "lon": 2.3917843037
  },
  "geo_shape_iris": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              2.3961882839,
              48.6526414305
            ],
            [
              2.3962508757,
              48.6526291546
            ],
            [
              2.3972809314,
              48.652425683
            ],
            [
              2.3980538383,
              48.6522703768
            ],
            [
              2.3981652793,
              48.6522601455
            ],
            [
              2.3980840951,
              48.652118513
            ],
            [
              2.3965829065,
              48.6497371205
            ],
            [
              2.3943397444,
              48.6464726428
            ],
            [
              2.391410976,
              48.6434106414
            ],
            [
              2.3912751033,
              48.6433056037
            ],
            [
              2.3900585693,
              48.6444984341
            ],
            [
              2.3880207531,
              48.6465019939
            ],
            [
              2.3857268574,
              48.648797437
            ],
            [
              2.3847998358,
              48.6497074564
            ],
            [
              2.3850628225,
              48.6497393971
            ],
            [
              2.3892191855,
              48.650240211
            ],
            [
              2.393673854,
              48.6511300853
            ],
            [
              2.3939850146,
              48.6512234178
            ],
            [
              2.3943516606,
              48.6514492591
            ],
            [
              2.3945631853,
              48.6515888581
            ],
            [
              2.3948740847,
              48.65182251
            ],
            [
              2.3950408664,
              48.6519573833
            ],
            [
              2.3952047155,
              48.6521111312
            ],
            [
              2.3954931834,
              48.6524067335
            ],
            [
              2.3956300717,
              48.6525441528
            ],
            [
              2.3958167012,
              48.6527241009
            ],
            [
              2.3961882839,
              48.6526414305
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "pdl_gaz_grtgaz": 2,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "91286",
  "consommation_totale": 72482.665,
  "pdl_electricite_rte": 0,
  "code_insee_departement": "91",
  "consommation_gaz_grtgaz": 72482.665,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 0
}
Record 2annee: 2019 · region: Île-de-France
{
  "annee": "2019",
  "region": "Île-de-France",
  "commune": "Réau",
  "code_iris": "773840000",
  "pdl_total": 0,
  "departement": "Seine-et-Marne",
  "geo_point_iris": {
    "lat": 48.6073765806,
    "lon": 2.6238602256
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": 0,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "77384",
  "consommation_totale": 0,
  "pdl_electricite_rte": 0,
  "code_insee_departement": "77",
  "consommation_gaz_grtgaz": 0,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 0
}
Record 3annee: 2023 · region: Île-de-France
{
  "annee": "2023",
  "region": "Île-de-France",
  "commune": "Le Coudray-Montceaux",
  "code_iris": "911790000",
  "pdl_total": null,
  "departement": "Essonne",
  "geo_point_iris": {
    "lat": 48.558571901,
    "lon": 2.487543339
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": null,
  "pdl_gaz_terega": null,
  "code_insee_region": "11",
  "code_insee_commune": "91179",
  "consommation_totale": null,
  "pdl_electricite_rte": 1,
  "code_insee_departement": "91",
  "consommation_gaz_grtgaz": null,
  "consommation_gaz_terega": null,
  "consommation_electricite_rte": 173428.0895
}
Record 4annee: 2013 · region: Île-de-France
{
  "annee": "2013",
  "region": "Île-de-France",
  "commune": "Savigny-le-Temple",
  "code_iris": "774450402",
  "pdl_total": 1,
  "departement": "Seine-et-Marne",
  "geo_point_iris": {
    "lat": 48.5898418457,
    "lon": 2.5903321677
  },
  "geo_shape_iris": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              2.5922572475,
              48.5717744556
            ],
            [
              2.5921203602,
              48.5717721874
            ],
            [
              2.5919730885,
              48.5722331526
            ],
            [
              2.5915933561,
              48.5734750296
            ],
            [
              2.5915543994,
              48.5736035317
            ],
            [
              2.5905843382,
              48.5768349783
            ],
            [
              2.5900011356,
              48.5787768931
            ],
            [
              2.589541816,
              48.5803018402
            ],
            [
              2.5893845848,
              48.5808167375
            ],
            [
              2.5887514557,
              48.5828898013
            ],
            [
              2.5884077458,
              48.5840139423
            ],
            [
              2.5880299563,
              48.5851595524
            ],
            [
              2.5878975603,
              48.5856160616
            ],
            [
              2.5876898658,
              48.5863367749
            ],
            [
              2.5870341216,
              48.5885095913
            ],
            [
              2.5869591162,
              48.5887360152
            ],
            [
              2.5866202491,
              48.589752218
            ],
            [
              2.5862108523,
              48.5907690735
            ],
            [
              2.5857632518,
              48.5918136795
            ],
            [
              2.5854213667,
              48.5925204253
            ],
            [
              2.5853691909,
              48.5926021014
            ],
            [
              2.5851810828,
              48.5928964942
            ],
            [
              2.5841006044,
              48.5952513079
            ],
            [
              2.584050886,
              48.5953644756
            ],
            [
              2.5840287746,
              48.5954165714
            ],
            [
              2.5831173234,
              48.5974796137
            ],
            [
              2.5825258181,
              48.5988682193
            ],
            [
              2.5810508391,
              48.6021886062
            ],
            [
              2.5800262627,
              48.6044599069
            ],
            [
              2.5796339892,
              48.60534096
            ],
            [
              2.5795676867,
              48.6054900475
            ],
            [
              2.5792057652,
              48.6063055402
            ],
            [
              2.5795289307,
              48.606262605
            ],
            [
              2.5802911842,
              48.6060979823
            ],
            [
              2.5821480727,
              48.6057581953
            ],
            [
              2.5823775519,
              48.6057266175
            ],
            [
              2.5826202703,
              48.6055655535
            ],
            [
              2.5830695617,
              48.6051830293
            ],
            [
              2.5841989469,
              48.6042163876
            ],
            [
              2.5849541767,
              48.6035632662
            ],
            [
              2.5856138298,
              48.6029880661
            ],
            [
              2.5862762236,
              48.6024074745
            ],
            [
              2.5862789575,
              48.6024047854
            ],
            [
              2.5868564977,
              48.6019192457
            ],
            [
              2.5880280612,
              48.6009176303
            ],
            [
              2.5917972294,
              48.5976664938
            ],
            [
              2.5948996643,
              48.5950222854
            ],
            [
              2.5962074455,
              48.5939014102
            ],
            [
              2.5962620542,
              48.59385392
            ],
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              2.5961419362,
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            ],
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              2.5971563862,
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            ],
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              2.597739859,
              48.5885966288
            ],
            [
              2.5975805875,
              48.5883253291
            ],
            [
              2.5971951412,
              48.5876673611
            ],
            [
              2.5971309034,
              48.5875573998
            ],
            [
              2.5967837293,
              48.5869490343
            ],
            [
              2.5965901865,
              48.586463526
            ],
            [
              2.5964644999,
              48.5860583063
            ],
            [
              2.5961867368,
              48.5848025034
            ],
            [
              2.5961304518,
              48.5840134136
            ],
            [
              2.5965122195,
              48.5823271649
            ],
            [
              2.5965221977,
              48.5796231662
            ],
            [
              2.5965538128,
              48.5765738085
            ],
            [
              2.5951030353,
              48.5746875445
            ],
            [
              2.5942879442,
              48.5738539631
            ],
            [
              2.5923016137,
              48.5718213844
            ],
            [
              2.5922572475,
              48.5717744556
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "pdl_gaz_grtgaz": 0,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "77445",
  "consommation_totale": 18813.45,
  "pdl_electricite_rte": 1,
  "code_insee_departement": "77",
  "consommation_gaz_grtgaz": 0,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 18813.45
}
Record 5annee: 2017 · region: Île-de-France
{
  "annee": "2017",
  "region": "Île-de-France",
  "commune": "Moissy-Cramayel",
  "code_iris": "772960105",
  "pdl_total": 1,
  "departement": "Seine-et-Marne",
  "geo_point_iris": {
    "lat": 48.622374515,
    "lon": 2.6148024926
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": 0,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "77296",
  "consommation_totale": 141124.532,
  "pdl_electricite_rte": 1,
  "code_insee_departement": "77",
  "consommation_gaz_grtgaz": 0,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 141124.532
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL
https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/consommation-annuelle-par-iris-2012-a-2017

License

  • ✓ Redistributable
  • ✓ Attribution required

Query examples

curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/consommation-annuelle-par-iris-2012-a-2017/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

200 000 001 req/day
per ipmeasured
observed 3 days ago

Dataset

Volume & freshness

Records
127
Update cadence
Annual
declared upstream
Last upstream update
2 years ago
2024-12-06

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

Consommation annuelle par IRIS (2012 à 2017) sur Grand Paris Sud — live verification badge

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.