Register record·DATASET·FR·AGENCYSTALE · checked 5d ago

L

Koumoul RentsLoyers Koumoul

Name: Koumoul Rents
Creator: data.gouv.fr

Loyers KoumoulKoumoul Rents

DatasetDiscovered1/7blocked by verifiedQuery nowOpen workbench Subscribe🇫🇷France

A French national dataset providing rent data, published via the Koumoul platform and related to the national results of local rent observatories (observatoires locaux des loyers). It is tagged under real estate ('bien') and made available as open data by Etalab, France's public sector open-data mission, with free access requiring no authentication.Koumoul · Bien — French national public dataset.

bien

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Data schema (24 fields)

Filterable via the API (24)

ObservatoryData_yearagglomerationZone_complementaireType_habitatepoque_construction_homogeneanciennete_locataire_homogenenombre_pieces_homogeneloyer_1_decileloyer_1_quartileloyer_medianloyer_3_quartileloyer_9_decileloyer_moyenloyer_mensuel_1_decileloyer_mensuel_1_quartileloyer_mensuel_medianloyer_mensuel_3_quartileloyer_mensuel_9_decilemoyenne_loyer_mensuelsurface_moyennenombre_observationsnombre_logementsmethodologie_production

Click a field to see example values.

Field	Type	Description
Observatory	string	Code identifying the local rent observatory.Code identifying the local rent observatory.
Data_yearData year	integer	Year the rent data refers to.Year the rent data refers to.
agglomeration	string	Name of the urban agglomeration covered.Name of the urban agglomeration covered.
Zone_complementaireZone complementaire	string	Additional geographic sub-zone within the agglomeration.Additional geographic sub-zone within the agglomeration.
Type_habitatType habitat	string	Type of housing, e.g. house or apartment.Type of housing, e.g. house or apartment.
epoque_construction_homogeneEpoque construction homogene	string	Homogeneous category for the building's construction period.Homogeneous category for the building's construction period.
anciennete_locataire_homogeneAnciennete locataire homogene	string	Homogeneous category for tenant occupancy duration.Homogeneous category for tenant occupancy duration.
nombre_pieces_homogeneNombre pieces homogene	string	Homogeneous category for number of rooms and housing type.Homogeneous category for number of rooms and housing type.
loyer_1_decileLoyer 1 decile	number	First decile of rent per square meter.First decile of rent per square meter.
loyer_1_quartileLoyer 1 quartile	number	First quartile of rent per square meter.First quartile of rent per square meter.
loyer_medianLoyer median	number	Median rent per square meter.Median rent per square meter.
loyer_3_quartileLoyer 3 quartile	number	Third quartile of rent per square meter.Third quartile of rent per square meter.
loyer_9_decileLoyer 9 decile	number	Ninth decile of rent per square meter.Ninth decile of rent per square meter.
loyer_moyenLoyer moyen	number	Average rent per square meter.Average rent per square meter.
loyer_mensuel_1_decileLoyer mensuel 1 decile	integer	First decile of monthly rent amount.First decile of monthly rent amount.
loyer_mensuel_1_quartileLoyer mensuel 1 quartile	integer	First quartile of monthly rent amount.First quartile of monthly rent amount.
loyer_mensuel_medianLoyer mensuel median	integer	Median monthly rent amount.Median monthly rent amount.
loyer_mensuel_3_quartileLoyer mensuel 3 quartile	integer	Third quartile of monthly rent amount.Third quartile of monthly rent amount.
loyer_mensuel_9_decileLoyer mensuel 9 decile	integer	Ninth decile of monthly rent amount.Ninth decile of monthly rent amount.
moyenne_loyer_mensuelMoyenne loyer mensuel	integer	Average monthly rent amount.Average monthly rent amount.
surface_moyenneSurface moyenne	integer	Average dwelling surface area in square meters.Average dwelling surface area in square meters.
nombre_observationsNombre observations	integer	Number of rent observations used in the sample.Number of rent observations used in the sample.
nombre_logementsNombre logements	integer	Estimated number of dwellings represented.Estimated number of dwellings represented.
methodologie_productionMethodologie production	string	Method used to produce the rent estimate.Method used to produce the rent estimate.

Schema captured from tabular 13 hours ago.

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Sample data (8 records)

Record 1Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 10.1,
  "Type_habitat": null,
  "loyer_median": 10.5,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 7.6,
  "loyer_9_decile": 14.8,
  "surface_moyenne": 59,
  "loyer_1_quartile": 8.9,
  "loyer_3_quartile": 12.7,
  "nombre_logements": 20164,
  "Zone_complementaire": null,
  "nombre_observations": 4887,
  "loyer_mensuel_median": 560,
  "moyenne_loyer_mensuel": 595,
  "loyer_mensuel_1_decile": 383,
  "loyer_mensuel_9_decile": 825,
  "nombre_pieces_homogene": null,
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 460,
  "loyer_mensuel_3_quartile": 680,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 2Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": null,
  "Type_habitat": null,
  "loyer_median": null,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": null,
  "loyer_9_decile": null,
  "surface_moyenne": null,
  "loyer_1_quartile": null,
  "loyer_3_quartile": null,
  "nombre_logements": null,
  "Zone_complementaire": null,
  "nombre_observations": 14,
  "loyer_mensuel_median": null,
  "moyenne_loyer_mensuel": null,
  "loyer_mensuel_1_decile": null,
  "loyer_mensuel_9_decile": null,
  "nombre_pieces_homogene": "Maison 1-3P",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": null,
  "loyer_mensuel_3_quartile": null,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 3Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 8.6,
  "Type_habitat": null,
  "loyer_median": 8.6,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 6.5,
  "loyer_9_decile": 10.8,
  "surface_moyenne": 95,
  "loyer_1_quartile": 7.6,
  "loyer_3_quartile": 9.8,
  "nombre_logements": 4478,
  "Zone_complementaire": null,
  "nombre_observations": 974,
  "loyer_mensuel_median": 759,
  "moyenne_loyer_mensuel": 811,
  "loyer_mensuel_1_decile": 550,
  "loyer_mensuel_9_decile": 1152,
  "nombre_pieces_homogene": "Ensemble 4P+",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 640,
  "loyer_mensuel_3_quartile": 980,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 4Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 8.6,
  "Type_habitat": null,
  "loyer_median": 8.8,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 5.7,
  "loyer_9_decile": 11.1,
  "surface_moyenne": 111,
  "loyer_1_quartile": 6.8,
  "loyer_3_quartile": 10.1,
  "nombre_logements": 620,
  "Zone_complementaire": null,
  "nombre_observations": 112,
  "loyer_mensuel_median": 963,
  "moyenne_loyer_mensuel": 949,
  "loyer_mensuel_1_decile": 590,
  "loyer_mensuel_9_decile": 1250,
  "nombre_pieces_homogene": "Maison 4P+",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 800,
  "loyer_mensuel_3_quartile": 1100,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 5Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 14.2,
  "Type_habitat": null,
  "loyer_median": 14,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 11.4,
  "loyer_9_decile": 18.5,
  "surface_moyenne": 28,
  "loyer_1_quartile": 12.7,
  "loyer_3_quartile": 16.4,
  "nombre_logements": 3446,
  "Zone_complementaire": null,
  "nombre_observations": 1144,
  "loyer_mensuel_median": 400,
  "moyenne_loyer_mensuel": 402,
  "loyer_mensuel_1_decile": 320,
  "loyer_mensuel_9_decile": 500,
  "nombre_pieces_homogene": "Appart 1P",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 360,
  "loyer_mensuel_3_quartile": 444,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 6Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 11.2,
  "Type_habitat": null,
  "loyer_median": 11.4,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 8.5,
  "loyer_9_decile": 14.3,
  "surface_moyenne": 46,
  "loyer_1_quartile": 9.8,
  "loyer_3_quartile": 13.1,
  "nombre_logements": 6658,
  "Zone_complementaire": null,
  "nombre_observations": 1562,
  "loyer_mensuel_median": 510,
  "moyenne_loyer_mensuel": 517,
  "loyer_mensuel_1_decile": 403,
  "loyer_mensuel_9_decile": 643,
  "nombre_pieces_homogene": "Appart 2P",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 458,
  "loyer_mensuel_3_quartile": 577,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 7Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 9.6,
  "Type_habitat": null,
  "loyer_median": 9.6,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 7.6,
  "loyer_9_decile": 12,
  "surface_moyenne": 65,
  "loyer_1_quartile": 8.5,
  "loyer_3_quartile": 10.8,
  "nombre_logements": 5328,
  "Zone_complementaire": null,
  "nombre_observations": 1193,
  "loyer_mensuel_median": 620,
  "moyenne_loyer_mensuel": 628,
  "loyer_mensuel_1_decile": 490,
  "loyer_mensuel_9_decile": 777,
  "nombre_pieces_homogene": "Appart 3P",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 559,
  "loyer_mensuel_3_quartile": 690,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

Record 8Data_year: 2025 · Observatory: B2500

{
  "Data_year": 2025,
  "Observatory": "B2500",
  "loyer_moyen": 8.6,
  "Type_habitat": null,
  "loyer_median": 8.6,
  "agglomeration": "Agglomération de Besançon",
  "loyer_1_decile": 6.7,
  "loyer_9_decile": 10.8,
  "surface_moyenne": 92,
  "loyer_1_quartile": 7.6,
  "loyer_3_quartile": 9.7,
  "nombre_logements": 3858,
  "Zone_complementaire": null,
  "nombre_observations": 862,
  "loyer_mensuel_median": 732,
  "moyenne_loyer_mensuel": 789,
  "loyer_mensuel_1_decile": 545,
  "loyer_mensuel_9_decile": 1152,
  "nombre_pieces_homogene": "Appart 4P+",
  "methodologie_production": "Estimation directe",
  "loyer_mensuel_1_quartile": 630,
  "loyer_mensuel_3_quartile": 925,
  "epoque_construction_homogene": null,
  "anciennete_locataire_homogene": null
}

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

Verification Status

Using the API

Query examples

curl -s 'https://tabular-api.data.gouv.fr/api/resources/21543ae5-7d6e-4c49-8719-e7f725d441da/data/?page=1&page_size=20' -H 'Accept: application/json'

First rows as JSON (page/page_size pagination, page_size ≤ 200).

Dataset

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Records

6.8k

6827

License

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Distributions (12)

Loyers 2025 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/21543ae5-7d6e-4c49-8719-e7f725d441da Source page

csv

Loyers 2024 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/13d660de-6108-4df6-8a54-1828a991a186 Source page

csv

Loyers 2023 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/3da6ba68-1f1e-4c49-a7e8-f521bd099599 Source page

csv

Loyers 2022 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/2ae4fb01-c69d-4a4d-bd09-f02c1b02882e Source page

csv

Loyers 2021 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/422b3274-114d-4abe-850c-dfc0c69b981f Source page

csv

Loyers 2020 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/f0f3abb1-2aed-4301-a44a-b14b43d73e1a Source page

csv

Loyers 2019 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/5dcdae40-91b5-44ba-8ffc-65af94b61c6a Source page

csv

Loyers 2018 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/4f1363af-28d9-4ec2-bdad-88f8b51fd7f2 Source page

csv

Loyers 2017 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/e30cb3ba-e1ca-4bec-b6ea-3cb751d6b862 Source page

csv

Loyers 2016 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/1fee314d-c278-424f-a029-a74d877eb185 Source page

csv

Loyers 2015 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/15d902ed-4dc3-457d-9c5d-bfe1151cb573 Source page

csv

Loyers 2014 dans les agglomérations observées par les observatoires du réseau

https://www.data.gouv.fr/api/1/datasets/r/42aaf838-46c9-4434-95a9-00173c6d4627 Source page

csv

Source: data.gouv.fr · Open original page

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