DPE Verification
Analyze the reliability of your Energy Performance Diagnostic based on official ADEME data.
How we analyse your DPE
Once you have entered your DPE number, our algorithm runs 3 chained steps with over 40 technical checks to assess the reliability of your diagnostic.
ADEME retrieval
We query ADEME's official database to retrieve all the technical data of your DPE.
40+ consistency checks
Internal consistency, BDNB and land registry comparisons, local comparisons, fraud detection, property history.
Score & recommendations
A reliability score out of 100, a plain-language list of detected anomalies and concrete actions to take.
Details of the 40+ checks
Grouped into 3 families — expand each family to see the details
- Calculation consistency
Checking that the sum of consumption per use equals the declared total
- Compliant ratings
Checking that the DPE and GHG ratings match the official thresholds
- Data plausibility
Detection of outlier values (floor area, consumption, year...)
- Equipment consistency
Checking the compatibility between heating type and declared energy
Understanding DPE ratings
The DPE rates homes from A (very efficient) to G (energy sieve) based on their primary energy consumption in kWh/m²/year
2025 regulations
Since 1 January 2025, homes rated G are banned from being rented out. Homes rated F will be affected in 2028, then those rated E in 2034.
Why verify your DPE?
The Energy Performance Diagnostic (DPE)has become an essential document in every real estate transaction. Since its 2021 reform, it has a direct impact on your property's value and on whether it can be rented out.
Errors more common than you might think
According to a study by 60 Millions de Consommateurs, nearly one DPE in three is said to contain anomalies. These errors can stem from:
- Errors when entering the dwelling's characteristics
- Poor estimation of the insulation or equipment
- Inconsistencies in the regulatory calculations
- Sometimes, intentional manipulations to improve the rating
Significant financial consequences
An incorrect DPE can have significant repercussions:
- A 5 to 15% discount on the sale price for energy sieves
- Energy bills higher than expected
- Renovation works under- or over-estimated
- Legal disputes in the event of a clearly incorrect DPE
Our tool helps you spot the potential inconsistencies in your DPE before they become a problem. It's free, fast and based on ADEME's official data.
Who is our tool for?
Whether you are a buyer, a seller, a tenant or a landlord, verifying a DPE is an essential step
You are buying a property
- Verify the reliability of the DPE before signing
- Estimate the real energy costs
- Negotiate the price if anomalies are found
- Anticipate renovation works
You are selling a property
- Make sure your DPE is consistent
- Avoid post-sale disputes
- Value your property correctly
- Prepare for buyers' questions
You are a tenant
- Check that your rental is lawful
- Estimate your real energy charges
- Identify any anomalies
- Prepare a rent negotiation
You are a landlord
- Check regulatory compliance
- Anticipate rental bans
- Plan the necessary works
- Compare with the other properties in the neighbourhood
What our barometer reveals across 689,279 certificates
We ran 689,279 certificates filed with ADEME through the same coherence engine that analyses yours. The result: 11.1% show at least one major inconsistency — nearly one certificate in nine.
The surprising result: the inconsistency rate does not follow performance
Contrary to intuition, the most fragile certificates are not the worst-rated ones. The full ranking, from most to least affected, is: B (27.9%), G (22.2%), A (19.7%), C (15.7%), E (5.9%), D (5.4%) and finally F (4.3%). There is no logic of performance in that: homes declared highly efficient lead the ranking, but so do G-rated ones — while F-rated homes, just as energy-hungry, are the LEAST affected class in the analysed sample.
It is the two ends of the scale that concentrate inconsistencies, and the middle that carries the fewest. That is technically coherent: very low and very high consumption are both harder to reconcile with a given building than a mid-range value, so cross-checks between consumption, envelope and usage have more opportunities to contradict each other. We have no established explanation for where class F sits, and we would rather say so than invent one. The takeaway is simple: a flattering label deserves exactly as much checking as a poor one.
The most frequent inconsistencies, all severities combined
These three rates count every severity, from a simple attention signal to a major inconsistency. That is why a single family can exceed the 11.1% in the first statistic, which counts only major inconsistencies. Domestic hot water illustrates this: it is frequent, but none of its anomalies reaches the major level.
one item's share of total consumption falls outside the plausible range — heating accounting for only 15% of the total, say, or lighting for 10%
declared values incompatible with each other, such as an implausible floor area
a hot-water figure that does not match the system or the stated area
Three things to check yourself first
- Is the floor area right? Habitable area and Carrez area are not the same thing, and the error propagates through the whole calculation.
- Do the heating energy and hot-water system match your actual installation?
- Is the label plausible given the construction year and the insulation you can observe?
An inconsistency does not mean your label is wrong, nor that a professional was at fault. It means declared values do not hold together — and that this deserves checking before a sale or a letting.
Sources and methodology
ADEME open data (DPE-Audit Observatory), observable category-A sub-sample using the 3CL-2021 method, results post-stratified by department and vintage. Full methodology and detailed tables: the full study · press room
Frequently asked questions
Everything you need to know about DPE verification
DPE Simulation
Recalculate your rating with the official 3CL engine and simulate the impact of renovation works.
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