Transaction volumes are holding, but price dynamics remain heterogeneous from one city to another and from one type of property to another. In this context, assessing the price of a property before selling or buying requires cross-referencing several data sources, without relying on a single indicator.
DVF and public data: what actual transactions reveal (and what they hide)
The Demandes de Valeurs Foncières (DVF) database, made available by Etalab, lists the sales that have actually been concluded before a notary. It constitutes the most reliable foundation for comparing prices per square meter in a given area. Each transaction is recorded with the address, surface area, type of property, and amount.
The limitation is well known: DVF data alone is not sufficient to establish market value. They do not mention the interior condition of the property, any renovations carried out, or the energy performance at the time of sale. A renovated apartment and a property needing refreshment in the same building appear side by side, without quality distinction. It is possible to consult an estimated price on Info Immobilier to complement this initial reading of past transactions.
The other blind spot concerns the publication delay. Several months can separate the signing of the deed and the online posting of the data. In a rapidly changing market, this lag can distort the analysis, especially in areas where prices undergo quarterly adjustments.
Energy performance and estimation: the DPE as a price variable
The value gap between energy-intensive homes and better-rated properties has widened in recent years, according to market data reported by SeLoger in 2025. This phenomenon complicates estimates based solely on the average price per square meter of a neighborhood.
A property rated F or G on the DPE cannot be directly compared to a property rated C or D, even with identical surface area and location. The cost of energy renovation work must be isolated in the calculation, in addition to the discount related to the class itself and the risk of future resale if regulatory constraints tighten.
Another point of caution: some DPEs carried out before the decree published in the Official Journal on August 26, 2025, may yield different results for the same property. Owners have the option to request a free update of certain diagnostics from ADEME. An estimate based on an old energy class should therefore be verified before any decision.
What the DPE concretely changes in negotiation
A buyer who identifies an unfavorable DPE has a direct negotiation lever. They can quantify the necessary work to reach an acceptable class and subtract this amount from the asking price. The seller, for their part, has an interest in anticipating this objection by obtaining quotes or adjusting their price as soon as the property is listed for sale.
Listed price, negotiated price: three levels of value to distinguish
Negotiation has become a central element of the market, no longer just a safety margin. Laforêt data reported in October 2026 shows an increase in the stock of properties for sale, which strengthens the buyers’ position. Distinguishing theoretical price, listed price, and actual accepted price has become a necessity for both parties.
- The theoretical price corresponds to the value obtained by comparison with recent transactions and the intrinsic characteristics of the property (surface area, floor, exposure, general condition, energy performance).
- The listed price includes an anticipated negotiation margin. Listing too high extends the selling time and can discourage buyers from the moment they view the listing.
- The final selling price results from the confrontation between local supply and demand at the precise moment of the transaction, influenced by the number of competing properties in the area and the borrowing capacity of buyers.
This division into three levels avoids a common pitfall: confusing the intrinsic value of a property with its market price at a given moment. A property can be worth more than it sells for, and vice versa, depending on the local tension between supply and demand.
Online estimation methods and algorithm limitations
Automatic estimation tools have multiplied. They generally cross-reference DVF data, location, surface area, and sometimes energy class to produce a price range. Their utility is real for an initial framework, but feedback from the field varies regarding their accuracy.
- Algorithms do not capture qualitative elements: brightness, noise disturbances, quality of the co-ownership, condition of common areas.
- They struggle to integrate micro-price variations from one street to another, particularly in large urban areas.
- The proposed ranges can vary significantly from one tool to another for the same property, making comparison between platforms tricky.
An online estimate benefits from being supplemented by a contradictory opinion, whether from a local real estate agent or a notary with access to the most recent transaction databases. Cross-referencing at least two sources reduces the risk of overvaluation or undervaluation.
The role of the professional in the final adjustment
A real estate agent or notary provides a market reading that raw data does not offer: trends in selling times in the area, profiles of active buyers, competing properties currently on the market. This qualitative dimension allows for refining the price positioning, especially in areas where the stock of available properties is increasing.
Estimating a property remains an exercise in cross-referencing. Public data sets a framework, the DPE adds an increasingly determining variable, and the reality of local negotiation sets the final price. No isolated tool can replace this methodical confrontation between sources.
