Population aged 15 and over broken down by sex, socio-professional group and immigration status – Detailed data (IMG3)Population de 15 ans ou plus détaillée par sexe, groupe socioprofessionnel et situation quant à l'immigration – Données détaillées (IMG3)

Population de 15 ans ou plus détaillée par sexe, groupe socioprofessionnel et situation quant à l'immigration – Données détaillées (IMG3)Population aged 15 and over broken down by sex, socio-professional group and immigration status – Detailed data (IMG3)

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Dataset published by INSEE, the French national statistics institute, providing detailed characteristics of the population aged 15 and over, broken down by sex, socio-professional group and immigration status. Figures are available at the municipal (commune) and supra-municipal level, covering all of France except Mayotte. The data is drawn from the population census and can be used for demographic and socio-economic analysis of immigration patterns across French territorial units. Access is free and does not require authentication.”Caractéristiques de la population de 15 ans ou plus détaillée par sexe, groupe socioprofessionnel et situation quant à l'immigration, au niveau communal et supracommunal pour la France hors Mayotte.

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Data schema (9 fields)

Click a field to see example values.

Field	Type	Description
GEOTerritory	string	Code of the geographic area (commune or supra-communal zone).Code of the geographic area (commune or supra-communal zone).
PCS	string	Code of the socio-professional group.Code of the socio-professional group.
IMMI	string	Code indicating immigration status (immigrant or not).Code indicating immigration status (immigrant or not).
SEX	string	Sex of the population group (M/F).Sex of the population group (M/F).
FREQFrequency	string	Frequency of the data, e.g. annual.Frequency of the data, e.g. annual.
TIME_PERIODPeriod	string	Reference year of the data.Reference year of the data.
RP_MEASURERp measure	string	Code identifying the census measure type, e.g. population.Code identifying the census measure type, e.g. population.
AGE	string	Age group code, here people aged 15 or over.Age group code, here people aged 15 or over.
OBS_VALUE_NIVEAUValue	number	Estimated population count for the given breakdown.Estimated population count for the given breakdown.

Schema captured from melodi 6 hours 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.

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Sample data (5 records)

Record 1AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "F",
  "FREQ": "A",
  "IMMI": "0",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 2263.12188
}

Record 2AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "F",
  "FREQ": "A",
  "IMMI": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 170.32197
}

Record 3AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "F",
  "FREQ": "A",
  "IMMI": "_T",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 2433.44385
}

Record 4AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "M",
  "FREQ": "A",
  "IMMI": "0",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 5776.65277
}

Record 5AGE: Y_GE15 · GEO: 2026-AAV2020-001

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "M",
  "FREQ": "A",
  "IMMI": "1",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "OBS_VALUE_NIVEAU": 387.69659
}

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_IMMI_AGESEXPCS_COMP

Query examples

curl -s 'https://api.insee.fr/melodi/data/DS_RP_TD_IMMI_AGESEXPCS_COMP?maxResult=20' -H 'Accept: application/json'

First 20 observations (dimensions + measures) as JSON.

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