Characteristics of main residences by occupational category of the reference person - Detailed data (PRINC 15)Caractéristiques des résidences principales selon la PCS de la personne de référence - Données détaillées (PRINC 15)
Caractéristiques des résidences principales selon la PCS de la personne de référence - Données détaillées (PRINC 15)Characteristics of main residences by occupational category of the reference person - Detailed data (PRINC 15)
This dataset from INSEE (French National Institute of Statistics and Economic Studies) provides characteristics of main residences - including dwelling type and floor area - cross-tabulated with the socio-professional category (PCS) of the reference person of the household. Data are available at the municipal (communal) and supra-municipal levels, covering all of France excluding Mayotte. It supports statistical analysis of housing conditions in relation to the socio-occupational profile of residents across French territorial subdivisions.Caractéristiques des résidences principales selon le type de logement, la superficie et la PCS de la personne de référence au niveau communal et supracommunal pour la France hors Mayotte.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (8 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| GEOTerritory | string | Geographic code identifying the commune or supracommunal area.Geographic code identifying the commune or supracommunal area. |
| PCS | string | Code for the socio-professional category of the reference person.Code for the socio-professional category of the reference person. |
| UFS | string | Code indicating the dwelling's living area (surface) range.Code indicating the dwelling's living area (surface) range. |
| TDW | string | Code identifying the type of dwelling.Code identifying the type of dwelling. |
| TIME_PERIODPeriod | string | Reference year of the data.Reference year of the data. |
| RP_MEASURERp measure | string | Code specifying the type of measure reported, e.g. number of dwellings.Code specifying the type of measure reported, e.g. number of dwellings. |
| OCS | string | Code indicating the occupancy status, e.g. main residence.Code indicating the occupancy status, e.g. main residence. |
| OBS_VALUE_NIVEAUValue | number | Observed number of dwellings for the given category combination.Observed number of dwellings for the given category combination. |
Schema captured from melodi 7 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
Sample data (5 records)
| GEO | PCS | UFS | TDW | TIME_PERIOD | RP_MEASURE | OCS | OBS_VALUE_NIVEAU |
|---|---|---|---|---|---|---|---|
| 2026-AAV2020-001 | 1 | 100T119 | 1 | 2023 | DWELLINGS | DW_MAIN | 968.42749 |
| 2026-AAV2020-001 | 2 | 100T119 | 1 | 2023 | DWELLINGS | DW_MAIN | 21454.75775 |
| 2026-AAV2020-001 | 3 | 100T119 | 1 | 2023 | DWELLINGS | DW_MAIN | 92303.14629 |
| 2026-AAV2020-001 | 4 | 100T119 | 1 | 2023 | DWELLINGS | DW_MAIN | 73595.57602 |
| 2026-AAV2020-001 | 5 | 100T119 | 1 | 2023 | DWELLINGS | DW_MAIN | 46252.67416 |
Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://api.insee.fr/melodi/data/DS_RP_TD_LOGEMENT_PCS_COMP
Query examples
curl -s 'https://api.insee.fr/melodi/data/DS_RP_TD_LOGEMENT_PCS_COMP?maxResult=20' -H 'Accept: application/json'First 20 observations (dimensions + measures) as JSON.
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.