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Register record·API·FR·STATISTICS_OFFICEVERIFIED · checked 25h ago
C

Institutional Sector AccountsComptes de secteurs institutionnels

Comptes de secteurs institutionnelsInstitutional Sector Accounts

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Quarterly dataset from INSEE, the French national statistics institute, covering all economic operations and transactions relating to institutional sectors (such as households, corporations, government, and financial institutions) in France. The data allow analysis of sector-by-sector economic activity, income, and financial flows over time, and support macroeconomic monitoring and national accounts research.Données trimestrielles sur l'ensemble des opérations relatives aux secteurs institutionnels.

61
good

Weighted across five axes. Tap a ring for what it measures.

Data schema (9 fields)

Click a field to see example values.

FieldTypeDescription
GEOTerritorystringCode identifying the geographic area covered.Code identifying the geographic area covered.
SEASONAL_ADJUSTSeasonal adjuststringIndicates whether data are seasonally adjusted.Indicates whether data are seasonally adjusted.
ACCOUNTING_ENTRYAccounting entrystringCode indicating the accounting entry type, e.g. debit or credit.Code indicating the accounting entry type, e.g. debit or credit.
FREQFrequencystringFrequency of observation, e.g. quarterly.Frequency of observation, e.g. quarterly.
REF_SECTORRef sectorstringCode identifying the institutional sector referenced.Code identifying the institutional sector referenced.
TIME_PERIODPeriodstringPeriod covered by the observation, e.g. year and quarter.Period covered by the observation, e.g. year and quarter.
UNIT_MEASUREUnitstringUnit in which the value is measured, e.g. euros.Unit in which the value is measured, e.g. euros.
STOstringCode identifying the type of economic transaction or operation.Code identifying the type of economic transaction or operation.
OBS_VALUE_NIVEAUValuenumberObserved value of the indicator for the given period.Observed value of the indicator for the given period.

Schema captured from melodi 1 hour 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 1GEO: 2025-FRANCE-F · STO: D11
{
  "GEO": "2025-FRANCE-F",
  "STO": "D11",
  "FREQ": "Q",
  "REF_SECTOR": "S14B",
  "TIME_PERIOD": "1992-Q4",
  "UNIT_MEASURE": "EUR",
  "SEASONAL_ADJUST": "S",
  "ACCOUNTING_ENTRY": "D",
  "OBS_VALUE_NIVEAU": 1296.09000391806
}
Record 2GEO: 2025-FRANCE-F · STO: D121
{
  "GEO": "2025-FRANCE-F",
  "STO": "D121",
  "FREQ": "Q",
  "REF_SECTOR": "S14AF",
  "TIME_PERIOD": "2010-Q2",
  "UNIT_MEASURE": "EUR",
  "SEASONAL_ADJUST": "S",
  "ACCOUNTING_ENTRY": "D",
  "OBS_VALUE_NIVEAU": 49.4210773734784
}
Record 3GEO: 2025-FRANCE-F · STO: D11
{
  "GEO": "2025-FRANCE-F",
  "STO": "D11",
  "FREQ": "Q",
  "REF_SECTOR": "S14AF",
  "TIME_PERIOD": "2014-Q1",
  "UNIT_MEASURE": "EUR",
  "SEASONAL_ADJUST": "S",
  "ACCOUNTING_ENTRY": "D",
  "OBS_VALUE_NIVEAU": 82.489757114111
}
Record 4GEO: 2025-FRANCE-F · STO: D1
{
  "GEO": "2025-FRANCE-F",
  "STO": "D1",
  "FREQ": "Q",
  "REF_SECTOR": "S12",
  "TIME_PERIOD": "2024-Q2",
  "UNIT_MEASURE": "EUR",
  "SEASONAL_ADJUST": "S",
  "ACCOUNTING_ENTRY": "D",
  "OBS_VALUE_NIVEAU": 17944.9905164292
}
Record 5GEO: 2025-FRANCE-F · STO: D11
{
  "GEO": "2025-FRANCE-F",
  "STO": "D11",
  "FREQ": "Q",
  "REF_SECTOR": "S11X14AA",
  "TIME_PERIOD": "2002-Q3",
  "UNIT_MEASURE": "EUR",
  "SEASONAL_ADJUST": "S",
  "ACCOUNTING_ENTRY": "D",
  "OBS_VALUE_NIVEAU": 98371.4418676552
}

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_CNT_CSI

Query examples

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

First 20 observations (dimensions + measures) as JSON.

Full API documentation ↗

Machine-readable & source

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