Rent control frameworkEncadrement des loyers

Name: Rent control framework
Creator: opendatasoft

Encadrement des loyersRent control framework

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

This API provides data on rent control ("encadrement des loyers") in France, indicating reference, maximum, and minimum rent levels applicable in regulated zones. It is published as part of the national housing open-data program under the DHUP (Housing, Urban Planning and Landscapes Directorate) and related housing bodies, with an annual refresh cycle. The dataset supports checks on whether rents comply with local caps, particularly in areas such as Paris where rent control policy is enforced, and can be used by tenants, landlords, and public authorities to verify allowable rent amounts by property characteristics and location.Encadrement des loyers — official French public-data API published by DHUP / Logement (Bien, Annuel refresh).

housingprices

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Trust score

How is this computed?

good

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

Data schema (14 fields)

Filterable via the API (12)

anneeid_zoneid_quartiernom_quartierpieceepoquemeuble_txtrefmaxminvillecode_grand_quartier

Click a field to see example values.

Fill	Field	Type	Description
100%	anneeAnnée	text	Year the rent control reference applies to.Year the rent control reference applies to.
100%	id_zoneSecteurs géographiques	int	Identifier of the geographic rent-control sector.Identifier of the geographic rent-control sector.
100%	id_quartierNuméro du quartier	int	City of Paris district number (C_QU).Numéro de quartier Ville de Paris - C_QU
100%	nom_quartierNom du quartier	text	Name of the district.Name of the district.
100%	pieceNombre de pièces principales	int	Number of main rooms in the dwelling.Number of main rooms in the dwelling.
100%	epoqueEpoque de construction	text	Period during which the building was constructed.Period during which the building was constructed.
100%	meuble_txtType de location	text	Rental type, furnished or unfurnished.Rental type, furnished or unfurnished.
100%	refLoyers de référence	double	Reference rent in euros per square metre of living area.en euros par mètre carré de surface habitable
100%	maxLoyers de référence majorés	double	Upper reference rent limit in euros per square metre of living area.en euros par mètre carré de surface habitable
100%	minLoyers de référence minorés	double	Lower reference rent limit in euros per square metre of living area.en euros par mètre carré de surface habitable
—	ville	text	City to which the rent control zone belongs.City to which the rent control zone belongs.
—	code_grand_quartierNuméro INSEE du quartier	int	INSEE code identifying the district.INSEE code identifying the district.
—	geo_shapeShape	geo_shape	Geographic boundary polygon of the district.Geographic boundary polygon of the district.
—	geo_point_2dCoordinates	geo_point_2d	Geographic centroid coordinates of the district.Geographic centroid coordinates of the district.

Schema captured from opendatasoft 21 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 1max: 32.9 · min: 19.2

{
  "max": 32.9,
  "min": 19.2,
  "ref": 27.4,
  "annee": "2025",
  "piece": 2,
  "ville": "PARIS",
  "epoque": "1946-1970",
  "id_zone": 5,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "Polygon",
      "coordinates": [
        [
          [
            2.3553447343852665,
            48.871262685264895
          ],
          [
            2.3542605804166112,
            48.86933005072561
          ],
          [
            2.352631014364641,
            48.86969449879282
          ],
          [
            2.350960685459888,
            48.870049489907146
          ],
          [
            2.347880282483183,
            48.870704148509446
          ],
          [
            2.347900471891945,
            48.87200665691326
          ],
          [
            2.3479119512804676,
            48.8740239108311
          ],
          [
            2.3482465068115874,
            48.875793736103766
          ],
          [
            2.348321129071744,
            48.876019723671796
          ],
          [
            2.3486612992964715,
            48.87663406745335
          ],
          [
            2.349084948148027,
            48.87742251003853
          ],
          [
            2.3514048047135003,
            48.87709813159916
          ],
          [
            2.355369054416522,
            48.876558067305695
          ],
          [
            2.3560198123562435,
            48.87649359542387
          ],
          [
            2.3561179028036126,
            48.876489320615775
          ],
          [
            2.356165506082169,
            48.87648724557451
          ],
          [
            2.3580835401814877,
            48.876162712909334
          ],
          [
            2.358032126726192,
            48.876068862320494
          ],
          [
            2.3579445916319752,
            48.875912655039414
          ],
          [
            2.3578900112329224,
            48.8758022306218
          ],
          [
            2.3577729474672235,
            48.87559176526929
          ],
          [
            2.3572736026883967,
            48.87469398819949
          ],
          [
            2.3567748167673397,
            48.87381638065245
          ],
          [
            2.3559040366508555,
            48.87226852338971
          ],
          [
            2.3553447343852665,
            48.871262685264895
          ]
        ]
      ]
    },
    "properties": {}
  },
  "meuble_txt": "non meublé",
  "id_quartier": 38,
  "geo_point_2d": {
    "lat": 48.87361766097465,
    "lon": 2.352282894951218
  },
  "nom_quartier": "Porte-Saint-Denis",
  "code_grand_quartier": 7511038
}

Record 2max: 33.4 · min: 19.5

{
  "max": 33.4,
  "min": 19.5,
  "ref": 27.8,
  "annee": "2025",
  "piece": 1,
  "ville": "PARIS",
  "epoque": "1971-1990",
  "id_zone": 11,
  "geo_shape": "[large value omitted]",
  "meuble_txt": "non meublé",
  "id_quartier": 77,
  "geo_point_2d": {
    "lat": 48.87153120058614,
    "lon": 2.3875492398498035
  },
  "nom_quartier": "Belleville",
  "code_grand_quartier": 7512077
}

Record 3max: 34 · min: 19.8

{
  "max": 34,
  "min": 19.8,
  "ref": 28.3,
  "annee": "2023",
  "piece": 1,
  "ville": "PARIS",
  "epoque": "1971-1990",
  "id_zone": 8,
  "geo_shape": "[large value omitted]",
  "meuble_txt": "meublé",
  "id_quartier": 57,
  "geo_point_2d": {
    "lat": 48.83429362836976,
    "lon": 2.296919974448867
  },
  "nom_quartier": "Saint-Lambert",
  "code_grand_quartier": 7511557
}

Record 4max: 31.3 · min: 18.3

{
  "max": 31.3,
  "min": 18.3,
  "ref": 26.1,
  "annee": "2024",
  "piece": 1,
  "ville": "PARIS",
  "epoque": "1946-1970",
  "id_zone": 10,
  "geo_shape": "[large value omitted]",
  "meuble_txt": "non meublé",
  "id_quartier": 67,
  "geo_point_2d": {
    "lat": 48.888481513920595,
    "lon": 2.313856169006357
  },
  "nom_quartier": "Batignolles",
  "code_grand_quartier": 7511767
}

Record 5max: 25.3 · min: 14.8

{
  "max": 25.3,
  "min": 14.8,
  "ref": 21.1,
  "annee": "2024",
  "piece": 4,
  "ville": "PARIS",
  "epoque": "1946-1970",
  "id_zone": 9,
  "geo_shape": "[large value omitted]",
  "meuble_txt": "meublé",
  "id_quartier": 69,
  "geo_point_2d": {
    "lat": 48.89257777114592,
    "lon": 2.334363089913081
  },
  "nom_quartier": "Grandes-Carrières",
  "code_grand_quartier": 7511869
}

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

Verification Status

Using the API

Configuration

Base URL: https://opendata.paris.fr/api/explore/v2.1/catalog/datasets/logement-encadrement-des-loyers

License

Open Data Commons Open Database License 1.0Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://opendata.paris.fr/api/explore/v2.1/catalog/datasets/logement-encadrement-des-loyers/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

10 000 req/day

per ipmeasured

observed 21 days ago

Dataset

Volume & freshness

Records

18k

17920

Update cadence

Annual

declared upstream

Last upstream update

1 year ago

2025-06-17

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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