Interactive Power BI report
Home prices in France: what's it worth where you live?
Sales of existing homes recorded in DVF since January 2021 (one sale = one home), town by town. Type yours: price per m², change since the peak, rank, apartments and houses; then follow it from page to page, from the price cycle to mortgages, budgets and incomes.
Data: DVF sales from January 1, 2021 to June 30, 2026 (latest 12-month prices: July 2025 to June 2026) · Notaires-INSEE indices · Banque de France mortgage rates · ANIL 2025 rents · INSEE Filosofi incomes.
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Behind the scenes
How this report was built
This is a Power BI report: all its charts, KPI cards and slicers are Plume visuals (apart from the small locator map in tooltips), the same ones you add to your own reports. They share a single style setting (Format › Style) and one set of custom colors, so the whole report is styled in one move. Your town is never a filter that empties the others: it is highlighted, in the swarm of its department's towns, on the lines, in the rankings. The Power BI file (.pbix) offered above is built the same way, with the same visuals.
The 26 Plume visuals used
- Text PlumeType the name of your town, among every town in France
- KPI PlumeYour town's price per m², change since the peak and sales, against France
- Candle PlumeThe price cycle, quarter by quarter, with the Notaires-INSEE index overlaid
- Ridgeline PlumeThe spread of prices per m², year after year
- Heatmap PlumeSales month by month: the season and the trough
- Bar Slicer PlumePick the property type, the loan term or the ranking criterion
- Line PlumeThe m² a fixed monthly payment buys, your town against its department and France, the Friggit tunnel
- Waterfall PlumeWhere the m² lost since 2021 went: mostly higher rates, then higher median prices of homes sold
- Stream PlumeSales by price band, quarter after quarter
- Basic Slicer PlumePick your town in the region › department › town tree
- Beeswarm PlumeYour town among all the towns of its department
- Radar PlumeYour town's profile: price, floor area, houses, rent, incomes
- Range PlumeSet your budget on the price histogram
- Hexbin PlumeThe floor area a budget buys, sale by sale
- Pyramid PlumeApartments and houses, by floor-area band
- Waffle PlumeThe share of houses and apartments within the chosen budget
- Dumbbell PlumeDepartments, from the peak to today
- Treemap PlumeSales by region and department, colored by price change
- Filter Bar PlumeFilter by region
- Bump PlumeThe big-city ranking since 2021, drawn as a metro map
- Bar PlumeBig cities' change since the peak
- Period PlumePick the years on a timeline
- Shape Gauge PlumeThe years of income needed for 50 m², in a house that fills up
- Scatter PlumeRents and prices: towns' gross yield
- Table PlumeEvery indicator and its definition
- Matrix PlumeDVF data coverage, by region and period
Data sources
- DGFiP, Demandes de valeurs foncières (geocoded DVF, Etalab) ↗Sales of existing homes from January 1, 2021 to June 30, 2026 (one sale = one dwelling). Alsace-Moselle and Mayotte are not included: their property records are kept in a separate land register (Livre foncier).
- Notaires de France and INSEE, existing-home price indices ↗Seasonally adjusted quarterly indices (France, Île-de-France, Paris, rest of France): the long run, beyond DVF.
- Banque de France, home-loan rates ↗Average rate on new home loans, excluding renegotiations (MIR1 series, via DBnomics, and Stat Info for the latest months).
- INSEE, Filosofi ↗Median living standard by town and department, for the years of income a purchase takes.
- ANIL, 2025 rent map (data.gouv.fr) ↗Advertised rents per m², charges included, by town: gross rental yield.
- IGEDD, J. Friggit's long-run series ↗Home prices relative to disposable income per household and the historical “tunnel”, extended with the same method.
Public data under the Etalab 2.0 Open License (and each producer's own terms). Processed by Plume Visuals.
How to read the prices
The price is the median sale price divided by floor area, over the latest 12 months available: never half a year against a full year. A town gets a price only from 20 sales, and a change only from 50 sales in each period; below that, the report says so rather than show a fragile number. No buying or selling advice: the report describes, it doesn't judge.
The same visuals, in your reports
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