Register record·API·FR·Updated AnnualUNVERIFIED

C

Consommation annuelle par IRIS au périmètre du Réseau de Transport d’Electricité (2012 à 2017)

Name: Consommation annuelle par IRIS au périmètre du Réseau de Transport d’Electricité (2012 à 2017)
Creator: opendatasoft

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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...

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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.

Fill	Field	Type	Description
100%	anneeAnnée	date	Année
100%	code_irisCode iris	text	Code INSEE de la zone IRIS
91.2%	consommation_gaz_grtgazConsommation gaz (MWh) - GRTgaz	double	—
91.2%	pdl_gaz_grtgazPdl gaz grtgaz	int	—
82.6%	consommation_gaz_teregaConsommation gaz (MWh) - Teréga	double	—
82.6%	pdl_gaz_teregaPDL gaz - Teréga	int	—
92.3%	consommation_electricite_rteConsommation électricité (MWh) - RTE	double	—
92.3%	pdl_electricite_rtePDL électricité - RTE	int	—
82.6%	consommation_totaleConsommation totale (MWh)	double	Consommation totale de gaz et d'électricité en MWh
82.6%	pdl_totalPdl total	int	Nombre total de points de livraison de gaz et d'électricité
—	code_insee_communeINSEE commune code	text	Code INSSE de la commune
—	communeCommune	text	Nom de la commune
—	code_insee_departementCode INSEE département	text	Code INSEE du département
—	departement	text	Nom du département
—	code_insee_regionCode INSEE région	text	Code INSEE de la région
—	region	text	Nom de la région
—	geo_shape_irisGéo-shape IRIS	geo_shape	Géo-shape du contour de la zone IRIS
—	geo_point_irisGéo-point IRIS	geo_point_2d	Géo-point du centre de la zone IRIS

Schema captured from opendatasoft 1 hour ago.

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Sample data (5 records)

Record 1annee: 2021 · region: Île-de-France

{
  "annee": "2021",
  "region": "Île-de-France",
  "commune": "Bagneaux-sur-Loing",
  "code_iris": "770160000",
  "pdl_total": 2,
  "departement": "Seine-et-Marne",
  "geo_point_iris": {
    "lat": 48.2239835145,
    "lon": 2.7071538456
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": 2,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "77016",
  "consommation_totale": 167070.8864,
  "pdl_electricite_rte": 0,
  "code_insee_departement": "77",
  "consommation_gaz_grtgaz": 167070.8864,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 0
}

Record 2annee: 2021 · region: Île-de-France

{
  "annee": "2021",
  "region": "Île-de-France",
  "commune": "Étampes",
  "code_iris": "912230106",
  "pdl_total": 1,
  "departement": "Essonne",
  "geo_point_iris": {
    "lat": 48.4104304518,
    "lon": 2.1145784282
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": 0,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "91223",
  "consommation_totale": 5478.905,
  "pdl_electricite_rte": 1,
  "code_insee_departement": "91",
  "consommation_gaz_grtgaz": 0,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 5478.905
}

Record 3annee: 2021 · region: Île-de-France

{
  "annee": "2021",
  "region": "Île-de-France",
  "commune": "Clichy-sous-Bois",
  "code_iris": "930140111",
  "pdl_total": 1,
  "departement": "Seine-Saint-Denis",
  "geo_point_iris": {
    "lat": 48.9105374728,
    "lon": 2.5425586959
  },
  "geo_shape_iris": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              2.5408732524,
              48.9085028171
            ],
            [
              2.5407369016,
              48.9084942007
            ],
            [
              2.5398654824,
              48.9084548848
            ],
            [
              2.5388273102,
              48.9090669086
            ],
            [
              2.5387168785,
              48.9107517578
            ],
            [
              2.5386150265,
              48.9116218799
            ],
            [
              2.5385586516,
              48.9116711238
            ],
            [
              2.5395174313,
              48.911711684
            ],
            [
              2.5395801734,
              48.9117137237
            ],
            [
              2.5396700744,
              48.9117302565
            ],
            [
              2.5397217033,
              48.9117547357
            ],
            [
              2.5397351793,
              48.9117736726
            ],
            [
              2.539791701,
              48.9118620203
            ],
            [
              2.5398277104,
              48.9119556848
            ],
            [
              2.5398256146,
              48.9120384115
            ],
            [
              2.5397864517,
              48.9121470753
            ],
            [
              2.5404939843,
              48.9122118423
            ],
            [
              2.5420648067,
              48.9123945678
            ],
            [
              2.543330946,
              48.9124717939
            ],
            [
              2.5438220086,
              48.9124844563
            ],
            [
              2.5442654539,
              48.9124816476
            ],
            [
              2.5444892585,
              48.9124762038
            ],
            [
              2.5446831344,
              48.9124607536
            ],
            [
              2.5451736738,
              48.9123771844
            ],
            [
              2.5459047244,
              48.9122495606
            ],
            [
              2.5465620749,
              48.9121243513
            ],
            [
              2.5466263231,
              48.9121102058
            ],
            [
              2.5467153483,
              48.912070974
            ],
            [
              2.5468552914,
              48.9119815743
            ],
            [
              2.5471133786,
              48.9117990951
            ],
            [
              2.5464419457,
              48.9107228013
            ],
            [
              2.5461614845,
              48.9103422381
            ],
            [
              2.5455417311,
              48.9096015696
            ],
            [
              2.5451938248,
              48.9091344156
            ],
            [
              2.5448757569,
              48.9086880575
            ],
            [
              2.5444314677,
              48.9086351089
            ],
            [
              2.5438532491,
              48.9086086276
            ],
            [
              2.5436664055,
              48.9086016209
            ],
            [
              2.5427307295,
              48.9085773691
            ],
            [
              2.5409441681,
              48.9085057867
            ],
            [
              2.5408732524,
              48.9085028171
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "pdl_gaz_grtgaz": 1,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "93014",
  "consommation_totale": 61398.93566,
  "pdl_electricite_rte": 0,
  "code_insee_departement": "93",
  "consommation_gaz_grtgaz": 61398.93566,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 0
}

Record 4annee: 2021 · region: Île-de-France

{
  "annee": "2021",
  "region": "Île-de-France",
  "commune": "Fontenay-sous-Bois",
  "code_iris": "940330105",
  "pdl_total": 2,
  "departement": "Val-de-Marne",
  "geo_point_iris": {
    "lat": 48.8566134243,
    "lon": 2.4847423727
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": 2,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "94033",
  "consommation_totale": 190280.2092,
  "pdl_electricite_rte": 0,
  "code_insee_departement": "94",
  "consommation_gaz_grtgaz": 190280.2092,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 0
}

Record 5annee: 2016 · region: Île-de-France

{
  "annee": "2016",
  "region": "Île-de-France",
  "commune": "Bagneaux-sur-Loing",
  "code_iris": "770160000",
  "pdl_total": 2,
  "departement": "Seine-et-Marne",
  "geo_point_iris": {
    "lat": 48.2239835145,
    "lon": 2.7071538456
  },
  "geo_shape_iris": "[large value omitted]",
  "pdl_gaz_grtgaz": 2,
  "pdl_gaz_terega": 0,
  "code_insee_region": "11",
  "code_insee_commune": "77016",
  "consommation_totale": 132575.213,
  "pdl_electricite_rte": 0,
  "code_insee_departement": "77",
  "consommation_gaz_grtgaz": 132575.213,
  "consommation_gaz_terega": 0,
  "consommation_electricite_rte": 0
}

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

Using the API

Configuration

Base URL: https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/consommation-annuelle-par-iris-au-perimetre-du-reseau-de-transport-delectricite-

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/consommation-annuelle-par-iris-au-perimetre-du-reseau-de-transport-delectricite-/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 1 hour ago

Dataset

Volume & freshness

Records

1.9k

1925

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

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Consommation annuelle par IRIS au périmètre du Réseau de Transport d’Electricité (2012 à 2017)

Trust score

Data schema (18 fields)

Query the data

Sample data (5 records)

Using the API

Configuration

License

Query examples

Rate limits

Dataset

Volume & freshness

License

Machine-readable & source