Knowledge of the level of rents is important to ensure the proper functioning of the rental market and the conduct of national and local housing policies. In 2018, the Directorate-General for Planning, Housing and Nature (DGALN) launched the “rent map” project by partnering with a research team in economics from Agrosup Dijon and the Institut national de la recherche en agronomique (INRAE) and SeLoger and leboncoin. In 2020, the project was taken over by the National Agency for Housing Information (ANIL), which published, in 2022 and 2023, new versions of the map. This innovative partnership has made it possible to rebuild a database with 8 million rental ads. Based on these data, the research team and ANIL have developed a methodology for estimating indicators, at the municipal level, of rent (including charges) per m² for apartments and houses. These experimental indicators are put online in order to be usable by all: State services, local authorities, real estate professionals, private landlords and tenants. Starting in 2022, the maps are updated and published annually by ANIL. This project provides additional information to that offered by the Local Observatories of Homes (OLL), deployed since 2013 and reinforced since 2018 by the Elan Law. Today, this associative network of about thirty OLL publishes each year precise information on rents charged in about fifty French agglomerations. Presentation of the dataset The data disseminated are indicators of ad rents, at the municipal level. The field covered is the entire France, outside of Mayotte. The geography of the municipalities is the one in force on January 1, 2023. Rent indicators are calculated through the use of ad data published on the Leboncoin and SeLoger Group platforms over the period 2018-2023. Rent indicators are provided inclusive of standard leased property leased empty and leased in Q3 2023 with the following reference characteristics: — For an apartment (all types): area of 52 m² and average area per room of 22.2 m² — For apartment type T1-T2: area of 37 m² and average area per room of 23.0 m² — For apartment type T3 and more: area of 72 m² and average area per room of 21.2 m² — For a house: surface area of 92 m² and average area per room of 22.4 m² Conditions for use of data These indicators are freely usable, provided that the source is mentioned in the following form: “Anil estimates, based on data from the SeLoger Group and leboncoin”. Precautions for use The rent indicators are calculated charges included, on unfurnished ad data. The data were duplicated but without being able to rely on highly discriminatory photos and features. The mesh size method implies, for municipalities without rented accommodation via an advertisement on at least one of the two platforms over the period in question, that the rent indicator is that estimated for a larger mesh comprising neighbouring municipalities with similar characteristics. Users are advised to consider with caution rent indicators in municipalities where the coefficient of determination (R2) is less than 0.5, the number of observations in the municipality is less than 30 or the prediction interval is very wide. Moreover, compared to the previous version of the indicators published in 2022, this new map makes it possible to compare rents only in cases where indicators are calculated at municipal level in both 2022 and 2023.
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Knowledge of the level of rents is important to ensure the proper functioning of the rental market and the conduct of national and local housing policies. In 2018, the Directorate-General for Planning, Housing and Nature (DGALN) launched the “rent map” project by partnering with a research team in economics from Agrosup Dijon and the Institut national de la recherche en agronomique (INRAE) and SeLoger and leboncoin. In 2020, the project was taken over by the National Agency for Housing Information (ANIL), which published, in 2022 and 2023, new versions of the map. This innovative partnership has made it possible to rebuild a database with 8 million rental ads. Based on these data, the research team and ANIL have developed a methodology for estimating indicators, at the municipal level, of rent (including charges) per m² for apartments and houses. These experimental indicators are put online in order to be usable by all: State services, local authorities, real estate professionals, private landlords and tenants. Starting in 2022, the maps are updated and published annually by ANIL. This project provides additional information to that offered by the Local Observatories of Homes (OLL), deployed since 2013 and reinforced since 2018 by the Elan Law. Today, this associative network of about thirty OLL publishes each year precise information on rents charged in about fifty French agglomerations. Presentation of the dataset The data disseminated are indicators of ad rents, at the municipal level. The field covered is the entire France, outside of Mayotte. The geography of the municipalities is the one in force on January 1, 2023. Rent indicators are calculated through the use of ad data published on the Leboncoin and SeLoger Group platforms over the period 2018-2023. Rent indicators are provided inclusive of standard leased property leased empty and leased in Q3 2023 with the following reference characteristics: — For an apartment (all types): area of 52 m² and average area per room of 22.2 m² — For apartment type T1-T2: area of 37 m² and average area per room of 23.0 m² — For apartment type T3 and more: area of 72 m² and average area per room of 21.2 m² — For a house: surface area of 92 m² and average area per room of 22.4 m² Conditions for use of data These indicators are freely usable, provided that the source is mentioned in the following form: “Anil estimates, based on data from the SeLoger Group and leboncoin”. Precautions for use The rent indicators are calculated charges included, on unfurnished ad data. The data were duplicated but without being able to rely on highly discriminatory photos and features. The mesh size method implies, for municipalities without rented accommodation via an advertisement on at least one of the two platforms over the period in question, that the rent indicator is that estimated for a larger mesh comprising neighbouring municipalities with similar characteristics. Users are advised to consider with caution rent indicators in municipalities where the coefficient of determination (R2) is less than 0.5, the number of observations in the municipality is less than 30 or the prediction interval is very wide. Moreover, compared to the previous version of the indicators published in 2022, this new map makes it possible to compare rents only in cases where indicators are calculated at municipal level in both 2022 and 2023.