Consumer Price Index - category indicesIndice des prix à la consommation - indices catégoriels

Indice des prix à la consommation - indices catégorielsConsumer Price Index - category indices

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This API published by INSEE, the French national statistics institute, provides consumer price index data broken down by household category. It includes monthly inflation figures for households in the first quintile of the standard-of-living distribution, along with annual data covering several household categories, such as age group and occupation. The dataset supports analysis of how price inflation affects different segments of the French population, complementing the general national consumer price index with more granular, category-specific breakdowns.Données mensuelles sur l'inflation pour les ménages du premier quintile de la distribution des niveaux de vie, et données annuelles pour plusieurs catégories de ménage (par âge, profession, etc.).

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Data schema (15 fields)

Click a field to see example values.

Field	Type	Description
PCS	string	Socio-professional category code of the household reference person.Socio-professional category code of the household reference person.
PRODUCT_GROUPProduct group	string	Code identifying the group or category of consumer products.Code identifying the group or category of consumer products.
TSH	string	Code for household size category.Code for household size category.
TPH	string	Code for household type category.Code for household type category.
GEOTerritory	string	Geographic area code covered by the observation.Geographic area code covered by the observation.
SEASONAL_ADJUSTSeasonal adjust	string	Indicates whether the data is seasonally adjusted.Indicates whether the data is seasonally adjusted.
BASE_PERBase per	string	Reference base period for the index value of 100.Reference base period for the index value of 100.
IDX_TYPEIdx type	string	Type of price index, e.g. consumer price index.Type of price index, e.g. consumer price index.
FREQFrequency	string	Frequency of the observation, such as annual or monthly.Frequency of the observation, such as annual or monthly.
TIME_PERIODPeriod	string	Reference time period of the observation.Reference time period of the observation.
UNIT_MEASUREUnit	string	Unit of measure code for the observed value.Unit of measure code for the observed value.
IND_TYPEInd type	string	Type of indicator represented by the observation.Type of indicator represented by the observation.
QUANTILE_NIVVIEQuantile nivvie	string	Quintile category of the household living standard distribution.Quintile category of the household living standard distribution.
AGE	string	Age category of the household reference person.Age category of the household reference person.
OBS_VALUE_INDICE_DE_PRIXObs value indice de prix	number	Value of the consumer price index for the given breakdown.Value of the consumer price index for the given breakdown.

Schema captured from melodi 7 days ago.

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Sample data (5 records)

Record 1AGE: _Z · GEO: 2025-FRANCE-FM

{
  "AGE": "_Z",
  "GEO": "2025-FRANCE-FM",
  "PCS": "_Z",
  "TPH": "_Z",
  "TSH": "1",
  "FREQ": "A",
  "BASE_PER": "2025",
  "IDX_TYPE": "CPI",
  "IND_TYPE": "IX",
  "TIME_PERIOD": "2012",
  "UNIT_MEASURE": "IX",
  "PRODUCT_GROUP": "4035",
  "QUANTILE_NIVVIE": "_Z",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_INDICE_DE_PRIX": 80.62
}

Record 2AGE: _Z · GEO: 2025-FRANCE-FM

{
  "AGE": "_Z",
  "GEO": "2025-FRANCE-FM",
  "PCS": "6",
  "TPH": "_Z",
  "TSH": "_Z",
  "FREQ": "A",
  "BASE_PER": "2025",
  "IDX_TYPE": "CPI",
  "IND_TYPE": "IX",
  "TIME_PERIOD": "2010",
  "UNIT_MEASURE": "IX",
  "PRODUCT_GROUP": "4035",
  "QUANTILE_NIVVIE": "_Z",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_INDICE_DE_PRIX": 78.12
}

Record 3AGE: _Z · GEO: 2025-FRANCE-F

{
  "AGE": "_Z",
  "GEO": "2025-FRANCE-F",
  "PCS": "_Z",
  "TPH": "_Z",
  "TSH": "_Z",
  "FREQ": "M",
  "BASE_PER": "2025",
  "IDX_TYPE": "CPI",
  "IND_TYPE": "IX",
  "TIME_PERIOD": "2021-08",
  "UNIT_MEASURE": "IX",
  "PRODUCT_GROUP": "4018",
  "QUANTILE_NIVVIE": "QUINT1",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_INDICE_DE_PRIX": 88.49
}

Record 4AGE: _Z · GEO: 2025-FRANCE-FM

{
  "AGE": "_Z",
  "GEO": "2025-FRANCE-FM",
  "PCS": "3",
  "TPH": "_Z",
  "TSH": "_Z",
  "FREQ": "A",
  "BASE_PER": "2025",
  "IDX_TYPE": "CPI",
  "IND_TYPE": "IX",
  "TIME_PERIOD": "2012",
  "UNIT_MEASURE": "IX",
  "PRODUCT_GROUP": "4035",
  "QUANTILE_NIVVIE": "_Z",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_INDICE_DE_PRIX": 81.83
}

Record 5AGE: _Z · GEO: 2025-FRANCE-FM

{
  "AGE": "_Z",
  "GEO": "2025-FRANCE-FM",
  "PCS": "_Z",
  "TPH": "222_CH2",
  "TSH": "_Z",
  "FREQ": "A",
  "BASE_PER": "2025",
  "IDX_TYPE": "CPI",
  "IND_TYPE": "IX",
  "TIME_PERIOD": "2023",
  "UNIT_MEASURE": "IX",
  "PRODUCT_GROUP": "4035",
  "QUANTILE_NIVVIE": "_Z",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_INDICE_DE_PRIX": 96.9
}

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_IPC_IND_CAT

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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