Description
This dataset centralizes for each year (between 2014 and 2023) several variables aggregated on the residential real estate market at the municipal level:
- The number of mutations
- The number of sales of houses and apartments
- The proportion of sales of houses and apartments
- The average price of goods sold
- Average price per m2 of goods sold
- The average area of goods sold
The identification (and join) field of the municipalities is based on the INSEE code (COG 2022)
These data are derived from a geolocated DVF database processing, here are the mutations taken into account:
- Single-sales transfer (no batch sales)
- Price between 15 000 € and 10 000 000 €
- Surfaces of apartments (between 10m2 and 250m2) and surfaces of houses (between 10m2 and 400m2)
- Price per m2 between 330 €/m2 and 15 000 €/m2
The methodology is explained in detail here > https://journals.openedition.org/cybergeo/39583
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| DVF_Communes_2022.csv | CSV | Open resource | |
| DVF_Communes_2019.csv | CSV | Open resource | |
| Unknown Resource | CSV | Open resource | |
| DVF_Communes_2018.csv | CSV | Open resource | |
| DVF_Communes_2014.csv | CSV | Open resource | |
| DVF_Communes_2015.csv | CSV | Open resource | |
| DVF_Communes_2021.csv | CSV | Open resource | |
| DVF_Communes_2016.csv | CSV | Open resource | |
| DVF_Communes_2017.csv | CSV | Open resource | |
| DVF_Communes_2020.csv | CSV | Open resource | |
| DVF_Communes_2023.csv | CSV | Open resource |