Tourism Demand MonitoringSuivi de la demande touristique
Suivi de la demande touristiqueTourism Demand Monitoring
This dataset provides annual national-level statistics tracking tourism demand in France. It is published by INSEE, the French national statistics institute, and forms part of its data catalogue. The data can be used to monitor trends in tourism activity over time at the national scale, supporting analysis and comparison across years.Données annuelles sur le suivi de la demande touristique au niveau national.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (11 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| 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. |
| TOUR_MEASURETour measure | string | Type of tourism indicator measured, e.g. trips.Type of tourism indicator measured, e.g. trips. |
| TRAVEL_DESTTravel dest | string | Destination of travel for the observation.Destination of travel for the observation. |
| MODE_TRANSPORTMode transport | string | Mode of transport used for the trip.Mode of transport used for the trip. |
| FREQFrequency | string | Frequency of the data, e.g. monthly.Frequency of the data, e.g. monthly. |
| TIME_PERIODPeriod | string | Time period of the observation.Time period of the observation. |
| UNIT_MEASUREUnit | string | Unit in which the observed value is measured.Unit in which the observed value is measured. |
| TYPE_TOUR_ACCOMODATIONType tour accomodation | string | Type of tourist accommodation used.Type of tourist accommodation used. |
| TRAVEL_REASONTravel reason | string | Reason or purpose for the trip.Reason or purpose for the trip. |
| OBS_VALUE_NIVEAUValue | number | Observed value of the tourism indicator level.Observed value of the tourism indicator level. |
Schema captured from melodi 5 hours 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-FM · FREQ: M
{
"GEO": "2025-FRANCE-FM",
"FREQ": "M",
"TIME_PERIOD": "2023-08",
"TRAVEL_DEST": "_T",
"TOUR_MEASURE": "TRIPS",
"UNIT_MEASURE": "NR",
"TRAVEL_REASON": "_T",
"MODE_TRANSPORT": "_T",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 29.6,
"TYPE_TOUR_ACCOMODATION": "_T"
}Record 2GEO: 2025-FRANCE-FM · FREQ: M
{
"GEO": "2025-FRANCE-FM",
"FREQ": "M",
"TIME_PERIOD": "2023-07",
"TRAVEL_DEST": "_T",
"TOUR_MEASURE": "TRIPS",
"UNIT_MEASURE": "NR",
"TRAVEL_REASON": "_T",
"MODE_TRANSPORT": "_T",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 24.7,
"TYPE_TOUR_ACCOMODATION": "_T"
}Record 3GEO: 2025-FRANCE-FM · FREQ: M
{
"GEO": "2025-FRANCE-FM",
"FREQ": "M",
"TIME_PERIOD": "2025-10",
"TRAVEL_DEST": "_T",
"TOUR_MEASURE": "SAME_DAY_VISIT",
"UNIT_MEASURE": "IX",
"TRAVEL_REASON": "_T",
"MODE_TRANSPORT": "_T",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 70,
"TYPE_TOUR_ACCOMODATION": "_T"
}Record 4GEO: 2025-FRANCE-FM · FREQ: M
{
"GEO": "2025-FRANCE-FM",
"FREQ": "M",
"TIME_PERIOD": "2021-05",
"TRAVEL_DEST": "_T",
"TOUR_MEASURE": "SAME_DAY_VISIT",
"UNIT_MEASURE": "IX",
"TRAVEL_REASON": "_T",
"MODE_TRANSPORT": "_T",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 63,
"TYPE_TOUR_ACCOMODATION": "_T"
}Record 5GEO: 2025-FRANCE-FM · FREQ: M
{
"GEO": "2025-FRANCE-FM",
"FREQ": "M",
"TIME_PERIOD": "2020-03",
"TRAVEL_DEST": "_T",
"TOUR_MEASURE": "SAME_DAY_VISIT",
"UNIT_MEASURE": "IX",
"TRAVEL_REASON": "_T",
"MODE_TRANSPORT": "_T",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 51,
"TYPE_TOUR_ACCOMODATION": "_T"
}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_SUIVI_DDE_TOUR
Query examples
curl -s 'https://api.insee.fr/melodi/data/DS_SUIVI_DDE_TOUR?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.