[ARCHIVED] Hospital data on the COVID-19 epidemic in France[ARCHIVES] Données hospitalières relatives à l'épidémie de COVID-19 en France
[ARCHIVES] Données hospitalières relatives à l'épidémie de COVID-19 en France[ARCHIVED] Hospital data on the COVID-19 epidemic in France
This archived dataset provides hospital data on the COVID-19 epidemic in France, republished via the Aix-Marseille-Provence Metropolitan open data portal. The underlying data originates from Santé publique France, the national public health agency responsible for monitoring and understanding the dynamics of the epidemic, anticipating its possible evolution, and supporting the implementation of public health response measures. Although the geographic scope is local through the hosting portal, the figures cover national hospital indicators related to COVID-19, such as admissions and related metrics, as recorded during the health crisis period.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...
Trust score
How is this computed?Weighted across five axes. Tap a ring for what it measures.
Data schema (19 fields)
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 2 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 1sex: Femme · date: 2022-02-25
{
"sex": "Femme",
"date": "2022-02-25",
"autres": "0.0",
"tot_out": 435,
"day_hosp": 31,
"dep_code": "15",
"hospconv": "26.0",
"reg_code": 84,
"ssr_usld": "3.0",
"tot_death": 81,
"region_min": "Auvergne-Rhône-Alpes",
"day_intcare": 2,
"day_out_new": null,
"nom_dep_min": "Cantal",
"day_hosp_new": null,
"geo_point_2d": {
"lat": 45.052550395,
"lon": 2.66724467194
},
"day_death_new": null,
"day_intcare_new": null,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 2sex: Tous · date: 2022-09-21
{
"sex": "Tous",
"date": "2022-09-21",
"autres": "0.0",
"tot_out": 5643,
"day_hosp": 24,
"dep_code": "72",
"hospconv": "15.0",
"reg_code": 52,
"ssr_usld": "7.0",
"tot_death": 856,
"region_min": "Pays de la Loire",
"day_intcare": 2,
"day_out_new": 2,
"nom_dep_min": "Sarthe",
"day_hosp_new": 2,
"geo_point_2d": {
"lat": 47.9939387561,
"lon": 0.227666178967
},
"day_death_new": 0,
"day_intcare_new": 1,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 3sex: Tous · date: 2020-08-31
{
"sex": "Tous",
"date": "2020-08-31",
"autres": null,
"tot_out": 89,
"day_hosp": 7,
"dep_code": "47",
"hospconv": null,
"reg_code": 75,
"ssr_usld": null,
"tot_death": 12,
"region_min": "Nouvelle-Aquitaine",
"day_intcare": 1,
"day_out_new": 1,
"nom_dep_min": "Lot-et-Garonne",
"day_hosp_new": 0,
"geo_point_2d": {
"lat": 44.3650343519,
"lon": 0.459260227242
},
"day_death_new": 0,
"day_intcare_new": 0,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 4sex: Homme · date: 2020-07-20
{
"sex": "Homme",
"date": "2020-07-20",
"autres": null,
"tot_out": 250,
"day_hosp": 1,
"dep_code": "55",
"hospconv": null,
"reg_code": 44,
"ssr_usld": null,
"tot_death": 57,
"region_min": "Grand Est",
"day_intcare": 0,
"day_out_new": null,
"nom_dep_min": "Meuse",
"day_hosp_new": null,
"geo_point_2d": {
"lat": 48.9921215392,
"lon": 5.38098136105
},
"day_death_new": null,
"day_intcare_new": null,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 5sex: Femme · date: 2021-09-03
{
"sex": "Femme",
"date": "2021-09-03",
"autres": "3.0",
"tot_out": 8044,
"day_hosp": 124,
"dep_code": "69",
"hospconv": "75.0",
"reg_code": 84,
"ssr_usld": "20.0",
"tot_death": 1322,
"region_min": "Auvergne-Rhône-Alpes",
"day_intcare": 26,
"day_out_new": null,
"nom_dep_min": "Rhône",
"day_hosp_new": null,
"geo_point_2d": {
"lat": 45.8663416997,
"lon": 4.64058012474
},
"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
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
Machine-readable & source
Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.