Population aged 15 and over by sex, socio-professional group and nationality - Detailed data (NAT3)Population de 15 ans ou plus détaillée par sexe, groupe socioprofessionnel et nationalité - Données détaillées (NAT3)

Population de 15 ans ou plus détaillée par sexe, groupe socioprofessionnel et nationalité - Données détaillées (NAT3)Population aged 15 and over by sex, socio-professional group and nationality - Detailed data (NAT3)

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This API from INSEE, the French national statistics institute, provides detailed characteristics of the population aged 15 and over, broken down by sex, socio-professional group and nationality. Data is available at the municipal (commune) level and above, covering all of France except Mayotte. It is drawn from the population census and is intended for demographic and socio-economic analysis at national and sub-national levels.Caractéristiques de la population de 15 ans ou plus détaillée par sexe, groupe socioprofessionnel et nationalité, 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	Geographic code for the commune or supracommunal area.Geographic code for the commune or supracommunal area.
PCS	string	Code for the socioprofessional group category.Code for the socioprofessional group category.
SEX	string	Code indicating the sex of the population group.Code indicating the sex of the population group.
NATIONALITY_TYPENationality type	string	Code for the nationality category of the population group.Code for the nationality category of the population group.
FREQFrequency	string	Frequency of the data, e.g. annual.Frequency of the data, e.g. annual.
TIME_PERIODPeriod	string	Reference year of the observation.Reference year of the observation.
RP_MEASURERp measure	string	Code identifying the census measure type, here population.Code identifying the census measure type, here population.
AGE	string	Age group code, here 15 years or older.Age group code, here 15 years or older.
OBS_VALUE_NIVEAUValue	number	Population count for the given breakdown.Population count for the given breakdown.

Schema captured from melodi 4 hours ago.

Query the data

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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",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "NATIONALITY_TYPE": "100",
  "OBS_VALUE_NIVEAU": 117.2656
}

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

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "F",
  "FREQ": "A",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "NATIONALITY_TYPE": "250",
  "OBS_VALUE_NIVEAU": 2316.17825
}

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

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "F",
  "FREQ": "A",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "NATIONALITY_TYPE": "_T",
  "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",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "NATIONALITY_TYPE": "100",
  "OBS_VALUE_NIVEAU": 272.58185
}

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

{
  "AGE": "Y_GE15",
  "GEO": "2026-AAV2020-001",
  "PCS": "1",
  "SEX": "M",
  "FREQ": "A",
  "RP_MEASURE": "POP",
  "TIME_PERIOD": "2023",
  "NATIONALITY_TYPE": "250",
  "OBS_VALUE_NIVEAU": 5891.7675
}

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_NAT_AGESEXPCS_COMP

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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Machine-readable & source

JSON

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