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Register record·API·FR·MUNICIPALITYUNVERIFIED
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[ARCHIVES] Données hospitalières relatives à l'épidémie de COVID-19 en France

APIQuery nowOpen workbench🇫🇷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...

0
poor

Weighted across five axes. Tap a ring for what it measures.

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.

FieldTypeDescription
dep_codeFilterable via the APICode du Départementtext
dateFilterable via the APIdate
day_hospFilterable via the APINb actuellement hospitalisésint
day_intcareFilterable via the APINb actuellement en soins intensifsintréanimation/soins intensifs
tot_outFilterable via the APITotal retour à domicileint
tot_deathFilterable via the APITotal Décèsint
reg_codeFilterable via the APICode régionint
countrycode_iso_3166_1_alpha3Filterable via the APICode ISO 3166 de la zonetext
region_minFilterable via the APINom régiontext
nom_dep_minFilterable via the APINom départementtext
sexFilterable via the APISexetext
geo_point_2dCoordinatesgeo_point_2d
hospconvFilterable via the APItext
ssr_usldFilterable via the APISsr usldtext
autresFilterable via the APItext
day_hosp_newFilterable via the APINb Quotidien Admis HospitalisationintNombre quotidien de personnes nouvellement hospitalisées
day_intcare_newFilterable via the APINb Quotidien Admis RéanimationintNombre quotidien de nouvelles admissions en réanimation
day_death_newFilterable via the APINb Quotidien DécèsintNombre quotidien de personnes nouvellement décédées
day_out_newFilterable via the APINb Quotidien Retour à DomicileintNombre quotidien de nouveaux retours à domicile

Schema captured from opendatasoft 47 minutes 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: 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.

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.

Full API documentation ↗

Rate limits

10 000 000 req/day
per ipmeasured
observed 47 minutes ago

Dataset

Volume & freshness

Records
338k
338245
Last upstream update
7 months ago
2025-12-12

License

No license declared upstream.

Documentation Data dictionary Versioning

Source: opendatasoft

Machine-readable & source

[ARCHIVES] Données hospitalières relatives à l'épidémie de COVID-19 en France — live verification badge

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