Rate and Number of Energy-Inefficient Dwellings ("Thermal Sieves") by IRIS Zone in Brittany and Loire-AtlantiqueTaux et nombre de passoires thermiques par IRIS en Bretagne et Loire Atlantique
Taux et nombre de passoires thermiques par IRIS en Bretagne et Loire AtlantiqueRate and Number of Energy-Inefficient Dwellings ("Thermal Sieves") by IRIS Zone in Brittany and Loire-Atlantique
This dataset provides estimates of the number and rate of energy-inefficient housing ("passoires énergétiques", i.e. dwellings with energy performance classes F and G) among main residences, broken down by IRIS statistical zone across France, with a focus on Brittany and Loire-Atlantique. It is published via the Brittany regional open-data portal and derived from a source dataset on data.gouv.fr, using a documented estimation methodology. The data is useful for local and regional analysis of housing energy performance, supporting policy planning around building renovation and energy poverty at a fine geographic scale.Ce jeu de données contient une estimation des nombres et taux de passoires énergétiques (classes énergétiques F et G) parmi les résidences principales pour chaque IRIS de France. Source : https://www.data.gouv.fr/fr/datasets/nombre-et-taux-de-passoires-energetiques-par-iris/ Méthode : https://www...
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Data schema (12 fields)
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| — | geo_point_2dGeo Point | geo_point_2d | Geographic center point (latitude/longitude) of the IRIS area.Geographic center point (latitude/longitude) of the IRIS area. |
| — | geo_shapeShape | geo_shape | Geometric boundary shape of the IRIS area.Geometric boundary shape of the IRIS area. |
| — | gml_idGml id | text | Unique GML identifier for the geographic feature record.Unique GML identifier for the geographic feature record. |
| — | code_irisCode iris | text | INSEE IRIS code identifying the statistical sub-municipal area.INSEE IRIS code identifying the statistical sub-municipal area. |
| — | code_inseeINSEE commune code | text | INSEE code of the municipality containing the IRIS area.INSEE code of the municipality containing the IRIS area. |
| — | nom_villeNom ville | text | Name of the municipality (city or town).Name of the municipality (city or town). |
| — | department | text | Department code where the IRIS area is located.Department code where the IRIS area is located. |
| — | nb_passoireNb passoire | double | Estimated number of energy-inefficient homes (classes F/G) in the IRIS.Estimated number of energy-inefficient homes (classes F/G) in the IRIS. |
| — | total_logementTotal logement | double | Estimated total number of main residences in the IRIS.Estimated total number of main residences in the IRIS. |
| — | taux_passoireTaux passoire | double | Estimated percentage of homes classified as energy-inefficient (F/G).Estimated percentage of homes classified as energy-inefficient (F/G). |
| 100% | millesime | text | Reference year of the data estimate.Reference year of the data estimate. |
| 100% | id | text | Unique identifier combining IRIS code and reference year.Unique identifier combining IRIS code and reference year. |
Schema captured from opendatasoft 3 days ago.
Query the data
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Sample data (5 records)
Record 1id: 560930000-2021 · gml_id: dpe_taux_passoire.560930000-2021
{
"id": "560930000-2021",
"gml_id": "dpe_taux_passoire.560930000-2021",
"code_iris": "560930000",
"geo_shape": "[large value omitted]",
"millesime": "2021",
"nom_ville": "Kergrist",
"code_insee": "56093",
"department": "56",
"nb_passoire": 91.379654,
"geo_point_2d": {
"lat": 48.14726994317155,
"lon": -2.9287398618009766
},
"taux_passoire": 28.08642,
"total_logement": 325.3517
}Record 2id: 222150105-2021 · gml_id: dpe_taux_passoire.222150105-2021
{
"id": "222150105-2021",
"gml_id": "dpe_taux_passoire.222150105-2021",
"code_iris": "222150105",
"geo_shape": "[large value omitted]",
"millesime": "2021",
"nom_ville": "Ploufragan",
"code_insee": "22215",
"department": "22",
"nb_passoire": 418.61902,
"geo_point_2d": {
"lat": 48.488050245592326,
"lon": -2.780238851867337
},
"taux_passoire": 32.460346,
"total_logement": 1289.6321
}Record 3id: 292320110-2021 · gml_id: dpe_taux_passoire.292320110-2021
{
"id": "292320110-2021",
"gml_id": "dpe_taux_passoire.292320110-2021",
"code_iris": "292320110",
"geo_shape": "[large value omitted]",
"millesime": "2021",
"nom_ville": "Quimper",
"code_insee": "29232",
"department": "29",
"nb_passoire": 262.09323,
"geo_point_2d": {
"lat": 47.98853520822188,
"lon": -4.069948352850596
},
"taux_passoire": 33.53523,
"total_logement": 781.546
}Record 4id: 560750103-2021 · gml_id: dpe_taux_passoire.560750103-2021
{
"id": "560750103-2021",
"gml_id": "dpe_taux_passoire.560750103-2021",
"code_iris": "560750103",
"geo_shape": "[large value omitted]",
"millesime": "2021",
"nom_ville": "Guer",
"code_insee": "56075",
"department": "56",
"nb_passoire": 197.56047,
"geo_point_2d": {
"lat": 47.9399245883473,
"lon": -2.153551232921377
},
"taux_passoire": 28.63372,
"total_logement": 689.95734
}Record 5id: 220930106-2021 · gml_id: dpe_taux_passoire.220930106-2021
{
"id": "220930106-2021",
"gml_id": "dpe_taux_passoire.220930106-2021",
"code_iris": "220930106",
"geo_shape": "[large value omitted]",
"millesime": "2021",
"nom_ville": "Lamballe-Armor",
"code_insee": "22093",
"department": "22",
"nb_passoire": 185.73602,
"geo_point_2d": {
"lat": 48.44170710059449,
"lon": -2.5452709764164014
},
"taux_passoire": 19.148924,
"total_logement": 969.9554
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/taux-et-nombre-de-passoires-thermiques-par-iris-en-bretagne-et-loire-atlantique
License
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Query examples
curl -s 'https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/taux-et-nombre-de-passoires-thermiques-par-iris-en-bretagne-et-loire-atlantique/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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