Input-Output Table (IOT)Tableau des entrées-sorties (TES)
Tableau des entrées-sorties (TES)Input-Output Table (IOT)
API providing data from the input-output table of France's annual national accounts, published by INSEE, the French national statistics institute. It describes how goods and services produced by resident industries and imports are allocated among intermediate consumption, final consumption, investment, and exports, allowing analysis of economic interdependencies between branches of activity. The data form part of the national accounts framework and are used for macroeconomic analysis, structural studies of the economy, and input-output modeling at the national level.Données du tableau entrées-sorties des comptes nationaux annuels.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (14 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| PRICES | string | Code indicating price basis, e.g. current or constant values.Code indicating price basis, e.g. current or constant values. |
| VALUATION | string | Code for the valuation method applied to the data.Code for the valuation method applied to the data. |
| STO | string | Code identifying the national accounts transaction or flow type.Code identifying the national accounts transaction or flow type. |
| GEOTerritory | string | Geographic area and reference identifier for the record.Geographic area and reference identifier for the record. |
| ACCOUNTING_ENTRYAccounting entry | string | Code indicating the accounting entry type, such as credit or debit.Code indicating the accounting entry type, such as credit or debit. |
| PRODUCT | string | Code identifying the product or product category involved.Code identifying the product or product category involved. |
| FREQFrequency | string | Frequency of the observation, e.g. annual.Frequency of the observation, e.g. annual. |
| REF_SECTORRef sector | string | Code for the institutional sector referenced by the data.Code for the institutional sector referenced by the data. |
| TIME_PERIODPeriod | string | Reference year of the observation.Reference year of the observation. |
| COUNTERPART_AREACounterpart area | string | Code for the counterpart geographic area of the transaction.Code for the counterpart geographic area of the transaction. |
| UNIT_MEASUREUnit | string | Code for the unit of measurement, e.g. national currency.Code for the unit of measurement, e.g. national currency. |
| INSTR_ASSETInstr asset | string | Code identifying the financial instrument or asset type.Code identifying the financial instrument or asset type. |
| ACTIVITY | string | Code identifying the economic activity or industry sector.Code identifying the economic activity or industry sector. |
| OBS_VALUE_NIVEAUValue | number | Observed value level for the given data combination.Observed value level for the given data combination. |
Schema captured from melodi 7 days 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.
Sample data (5 records)
Record 1GEO: 2025-FRANCE-F · STO: P1
{
"GEO": "2025-FRANCE-F",
"STO": "P1",
"FREQ": "A",
"PRICES": "V",
"PRODUCT": "_T",
"ACTIVITY": "_T",
"VALUATION": "S",
"REF_SECTOR": "S1",
"INSTR_ASSET": "_Z",
"TIME_PERIOD": "2025",
"UNIT_MEASURE": "XDC",
"ACCOUNTING_ENTRY": "C",
"COUNTERPART_AREA": "W2",
"OBS_VALUE_NIVEAU": 5488460.1
}Record 2GEO: 2025-FRANCE-F · STO: P1
{
"GEO": "2025-FRANCE-F",
"STO": "P1",
"FREQ": "A",
"PRICES": "V",
"PRODUCT": "_T",
"ACTIVITY": "C16",
"VALUATION": "S",
"REF_SECTOR": "S1",
"INSTR_ASSET": "_Z",
"TIME_PERIOD": "1994",
"UNIT_MEASURE": "XDC",
"ACCOUNTING_ENTRY": "C",
"COUNTERPART_AREA": "W2",
"OBS_VALUE_NIVEAU": 8379.7
}Record 3GEO: 2025-FRANCE-F · STO: P1
{
"GEO": "2025-FRANCE-F",
"STO": "P1",
"FREQ": "A",
"PRICES": "V",
"PRODUCT": "_T",
"ACTIVITY": "J",
"VALUATION": "S",
"REF_SECTOR": "S1",
"INSTR_ASSET": "_Z",
"TIME_PERIOD": "2015",
"UNIT_MEASURE": "XDC",
"ACCOUNTING_ENTRY": "C",
"COUNTERPART_AREA": "W2",
"OBS_VALUE_NIVEAU": 187930.4
}Record 4GEO: 2025-FRANCE-F · STO: P1
{
"GEO": "2025-FRANCE-F",
"STO": "P1",
"FREQ": "A",
"PRICES": "V",
"PRODUCT": "_T",
"ACTIVITY": "L68A",
"VALUATION": "S",
"REF_SECTOR": "S1",
"INSTR_ASSET": "_Z",
"TIME_PERIOD": "2009",
"UNIT_MEASURE": "XDC",
"ACCOUNTING_ENTRY": "C",
"COUNTERPART_AREA": "W2",
"OBS_VALUE_NIVEAU": 158485.8
}Record 5GEO: 2025-FRANCE-F · STO: P1
{
"GEO": "2025-FRANCE-F",
"STO": "P1",
"FREQ": "A",
"PRICES": "V",
"PRODUCT": "_T",
"ACTIVITY": "O",
"VALUATION": "S",
"REF_SECTOR": "S1",
"INSTR_ASSET": "_Z",
"TIME_PERIOD": "2001",
"UNIT_MEASURE": "XDC",
"ACCOUNTING_ENTRY": "C",
"COUNTERPART_AREA": "W2",
"OBS_VALUE_NIVEAU": 149462.9
}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/DD_CNA_SUT
Query examples
curl -s 'https://api.insee.fr/melodi/data/DD_CNA_SUT?maxResult=20' -H 'Accept: application/json'First 20 observations (dimensions + measures) as JSON.
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.