Register record·API·FR·Updated DailyVERIFIED · checked 2d ago

D

Hospital emergency and SOS Médecins data on the COVID-19 epidemic in FranceDonnées urgences hospitalières - SOS Médecins relatives à l'épidémie de COVID-19 en France

Name: Hospital emergency and SOS Médecins data on the COVID-19 epidemic in France
Creator: opendatasoft

Données urgences hospitalières - SOS Médecins relatives à l'épidémie de COVID-19 en FranceHospital emergency and SOS Médecins data on the COVID-19 epidemic in France

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

Website Docs

This API provides data collected from hospital emergency departments and the SOS Médecins network on the COVID-19 epidemic in France, broken down by age group and department. It is published by Santé publique France, the national public health agency responsible for monitoring and understanding the epidemic's dynamics, anticipating scenarios, and informing public health responses. The dataset is part of the agency's broader COVID-19 surveillance effort and provides free, unauthenticated access at national scope, useful for tracking emergency care demand linked to the epidemic over time and across regions.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...

⬇ Export CSV List records Select & filter Run verified request Read the docs

Data schema (23 fields)

Filterable via the API (22)

dep_codedatenb_pass_emgy_covidtot_pass_emgynb_ho_emgy_covidnb_pass_emgy_covid_mnb_pass_emgy_covid_ftot_pass_emgy_mtot_pass_emgy_fnb_ho_emgy_covid_mnb_ho_emgy_covid_fnb_acte_sos_covidtot_acte_sosnb_sos_covid_mnb_sos_covid_ftot_sos_mtot_sos_freg_codecountrycode_iso_3166_1_alpha3region_minnom_dep_minage_label

Click a field to see example values.

Field	Type	Description
dep_codereg	text	—
datedate_de_passage	date	—
nb_pass_emgy_covidnbre_pass_corona	int	Nombre de passages aux urgences pour suspicion de COVID-19
tot_pass_emgynbre_pass_tot	int	Nombre de passages aux urgences total
nb_ho_emgy_covidnbre_hospit_corona	int	Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19
nb_pass_emgy_covid_mnbre_pass_corona_h	int	—
nb_pass_emgy_covid_fnbre_pass_corona_f	int	—
tot_pass_emgy_mnbre_pass_tot_h	int	—
tot_pass_emgy_fnbre_pass_tot_f	int	—
nb_ho_emgy_covid_mnbre_hospit_corona_h	int	—
nb_ho_emgy_covid_fnbre_hospit_corona_f	int	—
nb_acte_sos_covidnbre_acte_corona	int	Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19
tot_acte_sosnbre_acte_tot	int	Nombres d'actes médicaux SOS Médecins total
nb_sos_covid_mnbre_acte_corona_h	int	—
nb_sos_covid_fnbre_acte_corona_f	int	—
tot_sos_mnbre_acte_tot_h	int	—
tot_sos_fnbre_acte_tot_f	int	—
reg_codeCode de la région	int	—
countrycode_iso_3166_1_alpha3Code ISO 3166 de la zone	text	—
region_minNom région	text	—
nom_dep_minNom du département	text	—
age_labelLibellé tranches d'âge	text	—
geo_point_2dCoordinates	geo_point_2d	—

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.

Where=

Sort by

Sample data (5 records)

Record 1date: 2024-05-13 · dep_code: 25

{
  "date": "2024-05-13",
  "dep_code": "25",
  "reg_code": 27,
  "age_label": "tous âges",
  "tot_sos_f": 79,
  "tot_sos_m": 63,
  "region_min": "Bourgogne-Franche-Comté",
  "nom_dep_min": "Doubs",
  "geo_point_2d": {
    "lat": 47.1620749616,
    "lon": 6.36119815415
  },
  "tot_acte_sos": 142,
  "tot_pass_emgy": 313,
  "nb_sos_covid_f": 0,
  "nb_sos_covid_m": 0,
  "tot_pass_emgy_f": 137,
  "tot_pass_emgy_m": 176,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": 0,
  "nb_ho_emgy_covid_m": 0,
  "nb_pass_emgy_covid": 0,
  "nb_pass_emgy_covid_f": 0,
  "nb_pass_emgy_covid_m": 0,
  "countrycode_iso_3166_1_alpha3": "FRA"
}

Record 2date: 2024-05-15 · dep_code: 25

{
  "date": "2024-05-15",
  "dep_code": "25",
  "reg_code": 27,
  "age_label": "45-64 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Bourgogne-Franche-Comté",
  "nom_dep_min": "Doubs",
  "geo_point_2d": {
    "lat": 47.1620749616,
    "lon": 6.36119815415
  },
  "tot_acte_sos": 27,
  "tot_pass_emgy": 46,
  "nb_sos_covid_f": null,
  "nb_sos_covid_m": null,
  "tot_pass_emgy_f": null,
  "tot_pass_emgy_m": null,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": null,
  "nb_ho_emgy_covid_m": null,
  "nb_pass_emgy_covid": 0,
  "nb_pass_emgy_covid_f": null,
  "nb_pass_emgy_covid_m": null,
  "countrycode_iso_3166_1_alpha3": "FRA"
}

Record 3date: 2024-05-17 · dep_code: 25

{
  "date": "2024-05-17",
  "dep_code": "25",
  "reg_code": 27,
  "age_label": "tous âges",
  "tot_sos_f": 84,
  "tot_sos_m": 57,
  "region_min": "Bourgogne-Franche-Comté",
  "nom_dep_min": "Doubs",
  "geo_point_2d": {
    "lat": 47.1620749616,
    "lon": 6.36119815415
  },
  "tot_acte_sos": 141,
  "tot_pass_emgy": 260,
  "nb_sos_covid_f": 0,
  "nb_sos_covid_m": 0,
  "tot_pass_emgy_f": 121,
  "tot_pass_emgy_m": 139,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": 0,
  "nb_ho_emgy_covid_m": 0,
  "nb_pass_emgy_covid": 0,
  "nb_pass_emgy_covid_f": 0,
  "nb_pass_emgy_covid_m": 0,
  "countrycode_iso_3166_1_alpha3": "FRA"
}

Record 4date: 2024-05-20 · dep_code: 25

{
  "date": "2024-05-20",
  "dep_code": "25",
  "reg_code": 27,
  "age_label": "tous âges",
  "tot_sos_f": 100,
  "tot_sos_m": 90,
  "region_min": "Bourgogne-Franche-Comté",
  "nom_dep_min": "Doubs",
  "geo_point_2d": {
    "lat": 47.1620749616,
    "lon": 6.36119815415
  },
  "tot_acte_sos": 190,
  "tot_pass_emgy": 315,
  "nb_sos_covid_f": 0,
  "nb_sos_covid_m": 0,
  "tot_pass_emgy_f": 126,
  "tot_pass_emgy_m": 189,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": 0,
  "nb_ho_emgy_covid_m": 0,
  "nb_pass_emgy_covid": 1,
  "nb_pass_emgy_covid_f": 0,
  "nb_pass_emgy_covid_m": 1,
  "countrycode_iso_3166_1_alpha3": "FRA"
}

Record 5date: 2024-05-24 · dep_code: 25

{
  "date": "2024-05-24",
  "dep_code": "25",
  "reg_code": 27,
  "age_label": "5-14 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Bourgogne-Franche-Comté",
  "nom_dep_min": "Doubs",
  "geo_point_2d": {
    "lat": 47.1620749616,
    "lon": 6.36119815415
  },
  "tot_acte_sos": 12,
  "tot_pass_emgy": 56,
  "nb_sos_covid_f": null,
  "nb_sos_covid_m": null,
  "tot_pass_emgy_f": null,
  "tot_pass_emgy_m": null,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": null,
  "nb_ho_emgy_covid_m": null,
  "nb_pass_emgy_covid": 0,
  "nb_pass_emgy_covid_f": null,
  "nb_pass_emgy_covid_m": 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://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/coronavirus-tranche-age-urgences-sosmedecins-dep-france

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/coronavirus-tranche-age-urgences-sosmedecins-dep-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 6 days ago

Dataset

Volume & freshness

Records

520k

520352

Update cadence

Daily

declared upstream

Last upstream update

9 months ago

2025-12-12

Temporal coverage

2020 → ongoing

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

Embed this badge in a README or wiki — it always shows the latest verification state and quality tier.

Hospital emergency and SOS Médecins data on the COVID-19 epidemic in FranceDonnées urgences hospitalières - SOS Médecins relatives à l'épidémie de COVID-19 en France

Trust score

Data schema (23 fields)

Query the data

Sample data (5 records)

Verification Status

Using the API

Configuration

License

Query examples

Rate limits

Dataset

Volume & freshness

License

Machine-readable & source