Activity and Turnover IndicatorIndicateur d’activité et de chiffre d’affaires

Indicateur d’activité et de chiffre d’affairesActivity and Turnover Indicator

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This dataset provides monthly turnover indices covering industry, construction, trade and services. It also includes associated volume indices, notably production indices for services and volume indices for trade. The data are published by INSEE, the French national statistics institute, and offer a national-level view of short-term economic activity across major sectors of the economy. The indicators are widely used for monitoring business cycles, sectoral performance and short-term economic trends in France, and serve as a reference source for economic analysis and forecasting at the national level.Ensemble des indices (mensuels) de chiffres d’affaires. Ces indices couvrent les secteurs suivants : l’industrie, la construction, le commerce et les services. Il contient également les indices de volumes associés aux services (indices de production dans les services) et au commerce (indices de vol…

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Data schema (10 fields)

Click a field to see example values.

Field	Type	Description
GEOTerritory	string	Geographic area code covered by the indicator, e.g. France.Geographic area code covered by the indicator, e.g. France.
SEASONAL_ADJUSTSeasonal adjust	string	Indicates whether the data is seasonally adjusted (Y/N).Indicates whether the data is seasonally adjusted (Y/N).
BASE_PERBase per	string	Reference base period/year for the index (index = 100).Reference base period/year for the index (index = 100).
IDX_TYPEIdx type	string	Code identifying the type of index (e.g. turnover, volume).Code identifying the type of index (e.g. turnover, volume).
INDICATOR	string	Code identifying the specific economic indicator measured.Code identifying the specific economic indicator measured.
FREQFrequency	string	Frequency of the observations, e.g. monthly.Frequency of the observations, e.g. monthly.
TIME_PERIODPeriod	string	Year and month to which the observation refers.Year and month to which the observation refers.
MARCHE	string	Market scope code for the observation (e.g. domestic, export, total).Market scope code for the observation (e.g. domestic, export, total).
ACTIVITY	string	Economic activity code (NACE) covered by the observation.Economic activity code (NACE) covered by the observation.
OBS_VALUE_NIVEAUValue	number	Level value of the index for the given period.Level value of the index for the given period.

Schema captured from melodi 7 days ago.

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Sample data (5 records)

Record 1GEO: 2025-FRANCE-F · FREQ: M

{
  "GEO": "2025-FRANCE-F",
  "FREQ": "M",
  "MARCHE": "_T",
  "ACTIVITY": "HTNXK_R_SX94",
  "BASE_PER": "2021",
  "IDX_TYPE": "IPS",
  "INDICATOR": "_Z",
  "TIME_PERIOD": "2016-07",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_NIVEAU": 76.79
}

Record 2GEO: 2025-FRANCE-F · FREQ: M

{
  "GEO": "2025-FRANCE-F",
  "FREQ": "M",
  "MARCHE": "_T",
  "ACTIVITY": "HTNXK_R_SX94",
  "BASE_PER": "2021",
  "IDX_TYPE": "IPS",
  "INDICATOR": "_Z",
  "TIME_PERIOD": "2013-11",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_NIVEAU": 78.86
}

Record 3GEO: 2025-FRANCE-F · FREQ: M

{
  "GEO": "2025-FRANCE-F",
  "FREQ": "M",
  "MARCHE": "_T",
  "ACTIVITY": "14.12",
  "BASE_PER": "2021",
  "IDX_TYPE": "ICA_INDCONS",
  "INDICATOR": "_Z",
  "TIME_PERIOD": "2019-01",
  "SEASONAL_ADJUST": "Y",
  "OBS_VALUE_NIVEAU": 88.72
}

Record 4GEO: 2025-FRANCE-F · FREQ: M

{
  "GEO": "2025-FRANCE-F",
  "FREQ": "M",
  "MARCHE": "_T",
  "ACTIVITY": "HTNXK_R_SX94",
  "BASE_PER": "2021",
  "IDX_TYPE": "IPS",
  "INDICATOR": "_Z",
  "TIME_PERIOD": "2019-06",
  "SEASONAL_ADJUST": "N",
  "OBS_VALUE_NIVEAU": 103.3
}

Record 5GEO: 2025-FRANCE-F · FREQ: M

{
  "GEO": "2025-FRANCE-F",
  "FREQ": "M",
  "MARCHE": "_T",
  "ACTIVITY": "HTNXK_R_SX94",
  "BASE_PER": "2021",
  "IDX_TYPE": "IPS",
  "INDICATOR": "_Z",
  "TIME_PERIOD": "2016-05",
  "SEASONAL_ADJUST": "Y",
  "OBS_VALUE_NIVEAU": 90.47
}

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_ICA

Query examples

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

First 20 observations (dimensions + measures) as JSON.

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