Taux et nombre de passoires thermiques par IRIS en Bretagne et Loire Atlantique

Name: Taux et nombre de passoires thermiques par IRIS en Bretagne et Loire Atlantique
Creator: opendatasoft

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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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Trust score

How is this computed?

fair

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

Data schema (12 fields)

Filterable via the API (10)

gml_idcode_iriscode_inseenom_villedepartmentnb_passoiretotal_logementtaux_passoiremillesimeid

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	—
—	geo_shapeShape	geo_shape	—
—	gml_idGml id	text	—
—	code_irisCode iris	text	—
—	code_inseeINSEE commune code	text	—
—	nom_villeNom ville	text	—
—	department	text	—
—	nb_passoireNb passoire	double	—
—	total_logementTotal logement	double	—
—	taux_passoireTaux passoire	double	—
100%	millesime	text	—
100%	id	text	—

Schema captured from opendatasoft 7 days ago.

Query the data

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Sample data (5 records)

Record 1id: 290190127-2021 · gml_id: dpe_taux_passoire.290190127-2021

{
  "id": "290190127-2021",
  "gml_id": "dpe_taux_passoire.290190127-2021",
  "code_iris": "290190127",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiPolygon",
      "coordinates": [
        [
          [
            [
              -4.502518967612906,
              48.401841201843204
            ],
            [
              -4.502568088194246,
              48.401795609126715
            ],
            [
              -4.503774310243899,
              48.40075025055029
            ],
            [
              -4.504942387056813,
              48.400235081513344
            ],
            [
              -4.505070215296066,
              48.400179972310575
            ],
            [
              -4.505949510315848,
              48.399818685028684
            ],
            [
              -4.506121081480524,
              48.39977525715655
            ],
            [
              -4.506486267767086,
              48.39976653021794
            ],
            [
              -4.507194479658768,
              48.39974596145121
            ],
            [
              -4.50823194430173,
              48.39970267069369
            ],
            [
              -4.508346007432852,
              48.39969361904832
            ],
            [
              -4.508479474920356,
              48.399677912424146
            ],
            [
              -4.508812493804515,
              48.39959621046804
            ],
            [
              -4.509657780136758,
              48.39938617136081
            ],
            [
              -4.51082080415463,
              48.40103392444954
            ],
            [
              -4.50879704034275,
              48.40282355574489
            ],
            [
              -4.508770148060728,
              48.40286322085576
            ],
            [
              -4.508662620749974,
              48.402917948214906
            ],
            [
              -4.508085671282124,
              48.40295504025979
            ],
            [
              -4.50739580143015,
              48.402990262349114
            ],
            [
              -4.505609985929355,
              48.40306839916357
            ],
            [
              -4.504382290482746,
              48.403120122154704
            ],
            [
              -4.504210380491778,
              48.40311386258645
            ],
            [
              -4.504110076557615,
              48.40309582804466
            ],
            [
              -4.504043142043065,
              48.403073868006054
            ],
            [
              -4.503955964598032,
              48.403024273154834
            ],
            [
              -4.503612758274765,
              48.40276951224105
            ],
            [
              -4.502966258258211,
              48.402263781162205
            ],
            [
              -4.502651243629541,
              48.40201626619877
            ],
            [
              -4.502576557046899,
              48.40194961057814
            ],
            [
              -4.502577002996497,
              48.40192427766896
            ],
            [
              -4.502565150755997,
              48.401888880352885
            ],
            [
              -4.502539976693043,
              48.40185523215465
            ],
            [
              -4.502518967612906,
              48.401841201843204
            ]
          ]
        ]
      ]
    },
    "properties": {}
  },
  "millesime": "2021",
  "nom_ville": "Brest",
  "code_insee": "29019",
  "department": "29",
  "nb_passoire": 212.5917,
  "geo_point_2d": {
    "lat": 48.401393631894344,
    "lon": -4.506812260516686
  },
  "taux_passoire": 21.387125,
  "total_logement": 994.0172
}

Record 2id: 290310000-2021 · gml_id: dpe_taux_passoire.290310000-2021

{
  "id": "290310000-2021",
  "gml_id": "dpe_taux_passoire.290310000-2021",
  "code_iris": "290310000",
  "geo_shape": "[large value omitted]",
  "millesime": "2021",
  "nom_ville": "Clohars-Carnoët",
  "code_insee": "29031",
  "department": "29",
  "nb_passoire": 529.90845,
  "geo_point_2d": {
    "lat": 47.79445056864757,
    "lon": -3.5667653583179706
  },
  "taux_passoire": 24.479858,
  "total_logement": 2164.6711
}

Record 3id: 561210703-2021 · gml_id: dpe_taux_passoire.561210703-2021

{
  "id": "561210703-2021",
  "gml_id": "dpe_taux_passoire.561210703-2021",
  "code_iris": "561210703",
  "geo_shape": "[large value omitted]",
  "millesime": "2021",
  "nom_ville": "Lorient",
  "code_insee": "56121",
  "department": "56",
  "nb_passoire": 242.85365,
  "geo_point_2d": {
    "lat": 47.739847180513614,
    "lon": -3.3864051167483997
  },
  "taux_passoire": 23.427784,
  "total_logement": 1036.6053
}

Record 4id: 441090204-2021 · gml_id: dpe_taux_passoire.441090204-2021

{
  "id": "441090204-2021",
  "gml_id": "dpe_taux_passoire.441090204-2021",
  "code_iris": "441090204",
  "geo_shape": "[large value omitted]",
  "millesime": "2021",
  "nom_ville": "Nantes",
  "code_insee": "44109",
  "department": "44",
  "nb_passoire": 225.78993,
  "geo_point_2d": {
    "lat": 47.20724161365498,
    "lon": -1.5956071698366205
  },
  "taux_passoire": 18.714682,
  "total_logement": 1206.4856
}

Record 5id: 223210000-2021 · gml_id: dpe_taux_passoire.223210000-2021

{
  "id": "223210000-2021",
  "gml_id": "dpe_taux_passoire.223210000-2021",
  "code_iris": "223210000",
  "geo_shape": "[large value omitted]",
  "millesime": "2021",
  "nom_ville": "Saint-Nicolas-du-Pélem",
  "code_insee": "22321",
  "department": "22",
  "nb_passoire": 312.49426,
  "geo_point_2d": {
    "lat": 48.322776252816695,
    "lon": -3.1644109401634175
  },
  "taux_passoire": 38.671875,
  "total_logement": 808.066
}

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

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

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.

Full API documentation ↗

Rate limits

5 000 req/day

per ipmeasured

observed 7 days ago

Dataset

Volume & freshness

Records

2.2k

2246

Last upstream update

9 days ago

2026-08-30

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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