Deaths and Mortality – Long Time SeriesDécès et mortalité - séries longues
Décès et mortalité - séries longuesDeaths and Mortality – Long Time Series
This dataset from INSEE, the French national statistics institute, provides long-run chronological series on deaths and mortality in France. Data are broken down at the departmental, regional, and national levels, allowing analysis of trends over time and comparison across territorial units. The series are part of INSEE's demographic statistics catalogue and can be used for demographic research, public health analysis, and historical comparison of mortality patterns across French regions and departments.Séries chronologiques sur les décès et la mortalité au niveau départemental, régional et national.
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (9 fields)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| GEOTerritory | string | Geographic area code (department, region, or national level).Geographic area code (department, region, or national level). |
| EC_MEASUREEc measure | string | Code for the type of death/mortality measure reported.Code for the type of death/mortality measure reported. |
| SEASONAL_ADJUSTSeasonal adjust | string | Indicates whether the data is seasonally adjusted.Indicates whether the data is seasonally adjusted. |
| SEX | string | Sex category of the population covered by the observation.Sex category of the population covered by the observation. |
| FREQFrequency | string | Frequency of the time series (e.g. annual).Frequency of the time series (e.g. annual). |
| TIME_PERIODPeriod | string | Time period, typically a year, to which the observation refers.Time period, typically a year, to which the observation refers. |
| UNIT_MEASUREUnit | string | Unit code used for the observation value.Unit code used for the observation value. |
| AGE | string | Age group code of the population covered by the observation.Age group code of the population covered by the observation. |
| OBS_VALUE_NIVEAUValue | number | Numeric value of the death or mortality observation.Numeric value of the death or mortality observation. |
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 1AGE: _T · GEO: 2025-DEP-75
{
"AGE": "_T",
"GEO": "2025-DEP-75",
"SEX": "_T",
"FREQ": "A",
"EC_MEASURE": "DTH_PLACE_RES",
"TIME_PERIOD": "2024",
"UNIT_MEASURE": "NR",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 14079
}Record 2AGE: Y50T54 · GEO: 2025-FRANCE-FM
{
"AGE": "Y50T54",
"GEO": "2025-FRANCE-FM",
"SEX": "_T",
"FREQ": "A",
"EC_MEASURE": "MOR_RT",
"TIME_PERIOD": "1984",
"UNIT_MEASURE": "PM",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 6.26
}Record 3AGE: Y25T29 · GEO: 2025-FRANCE-FM
{
"AGE": "Y25T29",
"GEO": "2025-FRANCE-FM",
"SEX": "M",
"FREQ": "A",
"EC_MEASURE": "MOR_RT",
"TIME_PERIOD": "2025",
"UNIT_MEASURE": "PM",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 0.65
}Record 4AGE: Y40T44 · GEO: 2025-FRANCE-FM
{
"AGE": "Y40T44",
"GEO": "2025-FRANCE-FM",
"SEX": "F",
"FREQ": "A",
"EC_MEASURE": "MOR_RT",
"TIME_PERIOD": "1989",
"UNIT_MEASURE": "PM",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 1.45
}Record 5AGE: Y70T79 · GEO: 2025-FRANCE-FM
{
"AGE": "Y70T79",
"GEO": "2025-FRANCE-FM",
"SEX": "M",
"FREQ": "A",
"EC_MEASURE": "MOR_RT",
"TIME_PERIOD": "1990",
"UNIT_MEASURE": "PM",
"SEASONAL_ADJUST": "N",
"OBS_VALUE_NIVEAU": 46.9
}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_DECES_MORTALITE_SERIES
Query examples
curl -s 'https://api.insee.fr/melodi/data/DS_DECES_MORTALITE_SERIES?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.