Make Open Data - Real Estate Transactions on a Mutation Scale
[Make Open Data](https://make-open-data.fr/) is an open source initiative to facilitate the transformation of public data by centralizing logic. Here a table providing information on real estate transactions (House or apartment) grouped by mutation. In case of multi-sale transfer, the location (GPS, postal code, common code) will be that of the main good. House if House and Apartment. If you're the same guy, we'll pick the bigger one. Also in case of multisale, the table reports the total area and the total number of pieces of sales. Data catalogue: [Catalogue link Make Open Data](https://data.make-open-data.fr/#/model/model.makeopendata.grouper_mutations) source_url: https://files.data.gouv.fr/geo-dvf/latest/csv/2023/full.csv.gz source_reference: https://www.data.gouv.fr/en/datasets/demandes-de-valeurs-foncieres-geolocalisees/ This is a construction and collaborative project: [Repo Make Open Data link](https://github.com/make-open-data/make-open-data).
Trust score
How is this computed?Composite of 5 axes from our methodology (proof-based officialness, live verification, metadata completeness, license clarity, agent readiness).
- Officialnessweight 25%50/100
Not public-sector → neutral score; not subject to the proof checker.
- Availabilityweight 25%100/100
Latest verification succeeded.
- Metadata completenessweight 20%38/100
5 of 13 recommended metadata fields populated.
- License clarityweight 15%0/100
No license declared upstream.
- Agent readinessweight 15%40/100
Documentation present · 1 distribution(s) declared · Landing page present
Data schema (12 fields)
| Field | Type | Description |
|---|---|---|
| id_mutation | text | — |
| valeur_fonciere | int | — |
| longitude | number | — |
| latitude | number | — |
| total_pieces | int | — |
| total_surface | int | — |
| type_local | text | — |
| code_postal | int | — |
| code_commune | int | — |
| geopoint | text | — |
| prix_m2 | number | — |
| prix_m2_knn_5 | number | — |
Schema inferred from the distribution file's first records 2 hours ago. Column types are sampled estimates, not source-declared.
Sample data (5 records)
Record 1prix_m2: 2757.1428571428573 · geopoint: 0101000020E61000009702D2FE07444840486AA1
{
"prix_m2": "2757.1428571428573",
"geopoint": "0101000020E61000009702D2FE07444840486AA164726A0440",
"latitude": "48.531494",
"longitude": "2.551976",
"type_local": "Maison",
"code_postal": "77310",
"id_mutation": "2023-1000002",
"code_commune": "77407",
"total_pieces": "4",
"prix_m2_knn_5": "2722.120342076225",
"total_surface": "70",
"valeur_fonciere": "193000"
}Record 2prix_m2: 3409.090909090909 · geopoint: 0101000020E6100000DC12B9E00C5048407EC685
{
"prix_m2": "3409.090909090909",
"geopoint": "0101000020E6100000DC12B9E00C5048407EC6850321D90440",
"latitude": "48.625393",
"longitude": "2.60602",
"type_local": "Maison",
"code_postal": "77550",
"id_mutation": "2023-1000006",
"code_commune": "77296",
"total_pieces": "5",
"prix_m2_knn_5": "3411.8609903259517",
"total_surface": "88",
"valeur_fonciere": "300000"
}Record 3prix_m2: 2500 · geopoint: 0101000020E6100000D102B4AD6633484060ADDA
{
"prix_m2": "2500",
"geopoint": "0101000020E6100000D102B4AD6633484060ADDA3521CD0540",
"latitude": "48.401571",
"longitude": "2.725161",
"type_local": "Appartement",
"code_postal": "77210",
"id_mutation": "2023-1000008",
"code_commune": "77014",
"total_pieces": "2",
"prix_m2_knn_5": "3463.929245971619",
"total_surface": "52",
"valeur_fonciere": "130000"
}Record 4prix_m2: 2267.7083333333335 · geopoint: 0101000020E6100000B85851836934484066DD3F
{
"prix_m2": "2267.7083333333335",
"geopoint": "0101000020E6100000B85851836934484066DD3F16A2A30540",
"latitude": "48.40947",
"longitude": "2.704899",
"type_local": "Appartement",
"code_postal": "77300",
"id_mutation": "2023-1000024",
"code_commune": "77186",
"total_pieces": "5",
"prix_m2_knn_5": "4766.293666892044",
"total_surface": "96",
"valeur_fonciere": "217700"
}Record 5prix_m2: 3260 · geopoint: 0101000020E6100000C39ACAA2B0534840B16B7B
{
"prix_m2": "3260",
"geopoint": "0101000020E6100000C39ACAA2B0534840B16B7BBB25190540",
"latitude": "48.653828",
"longitude": "2.637279",
"type_local": "Maison",
"code_postal": "77166",
"id_mutation": "2023-1000028",
"code_commune": "77175",
"total_pieces": "2",
"prix_m2_knn_5": "3473.23700006098",
"total_surface": "50",
"valeur_fonciere": "163000"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Query examples
curl -sL 'https://make-open-data.fra1.digitaloceanspaces.com/grouper_mutations_enrichie.csv' -o data.csvFull csv file download — the schema shown was inferred from the file's first records.
Dataset
Volume & freshness
Coverage
- First published
- 2024-06-08
License
No license declared upstream.
Distributions (1)
grouper_mutation_enrichie
https://www.data.gouv.fr/api/1/datasets/r/5fe7f709-6402-44d5-a184-d3a52e661ade