Register record·API·FR·MUNICIPALITYVERIFIED · checked 10h ago
[
[ARCHIVES] Données hospitalières relatives à l'épidémie de COVID-19 en France
Santé publique France a pour mission d'améliorer et de protéger la santé des populations. Durant la crise sanitaire liée à l'épidémie du COVID-19, Santé publique France se charge de surveiller et comprendre la dynamique de l'épidémie, d'anticiper les différents scénarii et de mettre en place des...
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Data schema (19 fields)
Filterable via the API (18)
dep_codedateday_hospday_intcaretot_outtot_deathreg_codecountrycode_iso_3166_1_alpha3region_minnom_dep_minsexhospconvssr_usldautresday_hosp_newday_intcare_newday_death_newday_out_new
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| dep_codeCode du Département | text | Code of the French department.Code of the French department. |
| date | date | Date of the recorded data.Date of the recorded data. |
| day_hospNb actuellement hospitalisés | int | Number of patients currently hospitalized.Number of patients currently hospitalized. |
| day_intcareNb actuellement en soins intensifs | int | Number of patients currently in intensive care/resuscitation.réanimation/soins intensifs |
| tot_outTotal retour à domicile | int | Cumulative total of patients discharged home.Cumulative total of patients discharged home. |
| tot_deathTotal Décès | int | Cumulative total number of deaths.Cumulative total number of deaths. |
| reg_codeCode région | int | Code of the French region.Code of the French region. |
| countrycode_iso_3166_1_alpha3Code ISO 3166 de la zone | text | ISO 3166-1 alpha-3 country code of the area.ISO 3166-1 alpha-3 country code of the area. |
| region_minNom région | text | Name of the region.Name of the region. |
| nom_dep_minNom département | text | Name of the department.Name of the department. |
| sexSexe | text | Sex category of the recorded population.Sex category of the recorded population. |
| geo_point_2dCoordinates | geo_point_2d | Geographic coordinates of the department.Geographic coordinates of the department. |
| hospconv | text | Data related to conventional hospitalization units.Data related to conventional hospitalization units. |
| ssr_usldSsr usld | text | Data related to aftercare/rehabilitation and long-term care units.Data related to aftercare/rehabilitation and long-term care units. |
| autres | text | Data related to other types of hospital units.Data related to other types of hospital units. |
| day_hosp_newNb Quotidien Admis Hospitalisation | int | Daily number of newly hospitalized patients.Nombre quotidien de personnes nouvellement hospitalisées |
| day_intcare_newNb Quotidien Admis Réanimation | int | Daily number of new intensive care admissions.Nombre quotidien de nouvelles admissions en réanimation |
| day_death_newNb Quotidien Décès | int | Daily number of newly recorded deaths.Nombre quotidien de personnes nouvellement décédées |
| day_out_newNb Quotidien Retour à Domicile | int | Daily number of new patients discharged home.Nombre quotidien de nouveaux retours à domicile |
Schema captured from opendatasoft 6 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.
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Sample data (5 records)
Record 1sex: Tous · date: 2020-09-04
{
"sex": "Tous",
"date": "2020-09-04",
"autres": null,
"tot_out": 3111,
"day_hosp": 112,
"dep_code": "68",
"hospconv": null,
"reg_code": 44,
"ssr_usld": null,
"tot_death": 831,
"region_min": "Grand Est",
"day_intcare": 4,
"day_out_new": 4,
"nom_dep_min": "Haut-Rhin",
"day_hosp_new": 3,
"geo_point_2d": {
"lat": 47.8544215156,
"lon": 7.27573030264
},
"day_death_new": 0,
"day_intcare_new": 0,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 2sex: Tous · date: 2020-09-04
{
"sex": "Tous",
"date": "2020-09-04",
"autres": null,
"tot_out": 798,
"day_hosp": 5,
"dep_code": "71",
"hospconv": null,
"reg_code": 27,
"ssr_usld": null,
"tot_death": 202,
"region_min": "Bourgogne-Franche-Comté",
"day_intcare": 3,
"day_out_new": 1,
"nom_dep_min": "Saône-et-Loire",
"day_hosp_new": 1,
"geo_point_2d": {
"lat": 46.6449528758,
"lon": 4.54256935774
},
"day_death_new": 0,
"day_intcare_new": 0,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 3sex: Tous · date: 2020-09-04
{
"sex": "Tous",
"date": "2020-09-04",
"autres": null,
"tot_out": 436,
"day_hosp": 8,
"dep_code": "73",
"hospconv": null,
"reg_code": 84,
"ssr_usld": null,
"tot_death": 75,
"region_min": "Auvergne-Rhône-Alpes",
"day_intcare": 1,
"day_out_new": 1,
"nom_dep_min": "Savoie",
"day_hosp_new": 0,
"geo_point_2d": {
"lat": 45.4750948941,
"lon": 6.44225224812
},
"day_death_new": 0,
"day_intcare_new": 0,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 4sex: Femme · date: 2020-09-04
{
"sex": "Femme",
"date": "2020-09-04",
"autres": null,
"tot_out": 1189,
"day_hosp": 111,
"dep_code": "78",
"hospconv": null,
"reg_code": 11,
"ssr_usld": null,
"tot_death": 222,
"region_min": "Île-de-France",
"day_intcare": 3,
"day_out_new": null,
"nom_dep_min": "Yvelines",
"day_hosp_new": null,
"geo_point_2d": {
"lat": 48.8145000081,
"lon": 1.84526151273
},
"day_death_new": null,
"day_intcare_new": null,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 5sex: Homme · date: 2020-09-04
{
"sex": "Homme",
"date": "2020-09-04",
"autres": null,
"tot_out": 25,
"day_hosp": 4,
"dep_code": "82",
"hospconv": null,
"reg_code": 76,
"ssr_usld": null,
"tot_death": 7,
"region_min": "Occitanie",
"day_intcare": 1,
"day_out_new": null,
"nom_dep_min": "Tarn-et-Garonne",
"day_hosp_new": null,
"geo_point_2d": {
"lat": 44.0827639407,
"lon": 1.27668490496
},
"day_death_new": null,
"day_intcare_new": null,
"countrycode_iso_3166_1_alpha3": "FRA"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fed-donnees-hospitalieres-relatives-a-lepidemie-de-covid-19-en-france
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fed-donnees-hospitalieres-relatives-a-lepidemie-de-covid-19-en-france/records?limit=20' -H 'Accept: application/json'First 20 records of the dataset as JSON.
Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.
Rate limits
10 000 000 req/day
per ipmeasured
observed 6 days ago
Dataset
Volume & freshness
Records
338k
338245
Last upstream update
9 months ago
2025-12-12
License
No license declared upstream.
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Source: opendatasoft
Machine-readable & source
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