“Rent Map” — Announcement rent indicators by municipality in 2022

Description

**Context of the project** 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. The Directorate-General for Planning, Housing and Nature (DGALN) launched in 2018 the “rent map” project by partnering on the one hand with a research team in economics of Agrosup Dijon and the National Institute of Research in Agronomics (INRAE), and on the other hand with SeLoger and leboncoin. In 2020, the project was taken over by the National Agency for Housing Information (ANIL), which published a new version of the map in 2022. This innovative partnership has rebuilt a database with more than 7 million rental ads. On the basis of these data, the research team and ANIL have developed a methodology for estimating indicators, at the communal scale, 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 donors and tenants. From 2022, the maps are updated and published annually by ANIL. This project provides additional information to that offered by the Local Land Observatorys (OLL), deployed since 2013 and reinforced since 2018 by the Elan law. Today, this associative network of around thirty OLs publishes precise information every year on rents in some 50 French agglomerations. **Presentation of the dataset** The data disseminated are indicators of ad rents, at the level of the municipality. The field covered is the whole of France, outside of Mayotte. The geography of the municipalities is that in force on 1 January 2022. Rent indicators are calculated through the use of ad data published on the platforms of leboncoin and Groupe SeLoger over the period -2018-2022. Rent indicators are provided including charges for empty leased standard properties and leased in Q3 2022 with the following reference characteristics: — For an apartment (all types combined): 52 m² and average area per room of 22.2 m² — For apartment type T1-T2: surface area of 37 m² and average area per room of 22.9 m² — For apartment type T3 or more: area of 72 m² and average area per room of 21.2 m² — For a house: area of 92 m² and average area per room of 22.3 m² **Conditions for data use** These indicators can be freely used, provided that the source is indicated as follows: ANIL estimates, based on data from the SeLoger Group and leboncoin. **Precautions of employment** Rent indicators are calculated on unfurnished property and expenses included, on ad data. The data were duplicated but could not rely on very discriminating photos and characteristics. The method of meshing implies, for municipalities with no dwellings rented via an advertisement on at least one of the two sites during the period considered, which rent indicator is that estimated for a larger mesh comprising neighbouring municipalities with similar characteristics. **Users are advised to consider rent indicators with caution 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.** **In addition, compared to the previous version of the indicators published in 2020, this new map does not allow to measure changes in rent, due to differences in the communal mesh size and changes in methodology. **

Resources

Name Format Description Link
33 https://www.data.gouv.fr/api/1/datasets/r/647fa8c0-9406-46da-b190-377b836fb471
8 https://www.data.gouv.fr/api/1/datasets/r/dfb542cd-a808-41e2-9157-8d39b5c24edb
33 https://www.data.gouv.fr/api/1/datasets/r/d76a48a9-8ade-4149-9e47-f179029abc80
8 https://www.data.gouv.fr/api/1/datasets/r/7141612b-8029-44a4-a048-921a85a47b1f
33 https://www.data.gouv.fr/api/1/datasets/r/f2d332dd-c782-470e-ac84-f13c7b1c0bf1
8 https://www.data.gouv.fr/api/1/datasets/r/b398ede4-75f9-47ac-bfc5-d912c0012880
8 https://www.data.gouv.fr/api/1/datasets/r/bc9d5d13-07cc-4d38-8254-88db065bd42b

Tags

  • loyer
  • logement
  • immobilier

Topics

Categories