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
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...
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Data schema (18 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | anneeAnnée | date | Year of the recorded consumption data.Année |
| 100% | code_irisCode iris | text | INSEE code identifying the IRIS zone.Code INSEE de la zone IRIS |
| 89% | consommation_gaz_grtgazConsommation gaz (MWh) - GRTgaz | double | Annual gas consumption in MWh from the GRTgaz network.Annual gas consumption in MWh from the GRTgaz network. |
| 89% | pdl_gaz_grtgazPdl gaz grtgaz | int | Number of gas delivery points connected to GRTgaz.Number of gas delivery points connected to GRTgaz. |
| 79.5% | consommation_gaz_teregaConsommation gaz (MWh) - Teréga | double | Annual gas consumption in MWh from the Teréga network.Annual gas consumption in MWh from the Teréga network. |
| 79.5% | pdl_gaz_teregaPDL gaz - Teréga | int | Number of gas delivery points connected to Teréga.Number of gas delivery points connected to Teréga. |
| 91.3% | consommation_electricite_rteConsommation électricité (MWh) - RTE | double | Annual electricity consumption in MWh from the RTE network.Annual electricity consumption in MWh from the RTE network. |
| 91.3% | pdl_electricite_rtePDL électricité - RTE | int | Number of electricity delivery points connected to RTE.Number of electricity delivery points connected to RTE. |
| 79.5% | consommation_totaleConsommation totale (MWh) | double | Total annual gas and electricity consumption in MWh.Consommation totale de gaz et d'électricité en MWh |
| 79.5% | pdl_totalPdl total | int | Total number of gas and electricity delivery points.Nombre total de points de livraison de gaz et d'électricité |
| — | code_insee_communeINSEE commune code | text | INSEE code of the municipality (commune).Code INSSE de la commune |
| — | communeCommune | text | Name of the municipality.Nom de la commune |
| — | code_insee_departementCode INSEE département | text | INSEE code of the département.Code INSEE du département |
| — | departement | text | Name of the département.Nom du département |
| — | code_insee_regionCode INSEE région | text | INSEE code of the region.Code INSEE de la région |
| — | region | text | Name of the region.Nom de la région |
| — | geo_shape_irisGéo-shape IRIS | geo_shape | Geographic boundary shape of the IRIS zone.Géo-shape du contour de la zone IRIS |
| — | geo_point_irisGéo-point IRIS | geo_point_2d | Geographic 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
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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,
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],
[
2.584050886,
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],
[
2.5840287746,
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],
[
2.5831173234,
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],
[
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,
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],
[
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
],
[
2.5961419362,
48.5937797506
],
[
2.5971563862,
48.5911201099
],
[
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.
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Source: opendatasoft
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