COVID-19 Comparison 779175Comparatif-Covid19-779175
Comparatif-Covid19-779175COVID-19 Comparison 779175
This API provides daily hospital data on the COVID-19 epidemic broken down by département, comparing the departments of 77 (Seine-et-Marne), 91 (Essonne), and 75 (Paris). It includes figures such as the number of hospitalized patients, the number of people currently in intensive care or resuscitation units, the cumulative number of patients who have returned home, and cumulative death counts. The dataset is published via the Grand Paris Sud open-data portal and is intended for tracking and comparing the local progression and impact of the pandemic across these three French departments.rewriteLes données hospitalières quotidiennes relatives à l'épidémie du COVID-19 par département (ici comparatif dép. 77, 91 et 75) : nombre de patients hospitalisés, nombre de personnes actuellement en réanimation ou soins intensifs, nombre cumulé de personnes retournées à domicile, nombre cumulé de pe...
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 |
|---|---|---|
| code_depdep | int | INSEE code identifying the French department.code INSEE du département |
| nom_depNom dep | text | Name of the department.Nom du département |
| jour | date | Date of the reported data.Date de notification |
| hosphospitalisations | int | Number of people currently hospitalized.Nombre de personnes actuellement hospitalisées |
| rearéanimations | int | Number of people currently in intensive care or resuscitation.Nombre de personnes actuellement en réanimation ou soins intensifs |
| radretours à domicile | int | Cumulative number of patients discharged and returned home.Nombre cumulé de personnes retournées à domicile |
| dcdécès | int | Cumulative number of deaths recorded.Nombre cumulé de personnes décédées |
| geom | geo_shape | Geographic boundary shape of the department.Geographic boundary shape of the department. |
| geo_point_2dCoordinates | geo_point_2d | Geographic coordinates (latitude and longitude) of the department.Geographic coordinates (latitude and longitude) of the department. |
Schema captured from opendatasoft 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 1dc: 112 · rad: 291
{
"dc": 112,
"rad": 291,
"rea": 328,
"geom": {
"type": "Feature",
"geometry": {
"type": "Polygon",
"coordinates": [
[
[
2.3318980606,
48.8170109297
],
[
2.363328924,
48.8161481346
],
[
2.4022373497,
48.8295895672
],
[
2.4279584926,
48.8239000419
],
[
2.4373286147,
48.8181768229
],
[
2.4626960628,
48.8190597706
],
[
2.4695732937,
48.8369194725
],
[
2.4617939224,
48.8427305322
],
[
2.4407581534,
48.8459643493
],
[
2.4195389529,
48.8414492409
],
[
2.4163411303,
48.8492337836
],
[
2.4136461989,
48.8724380265
],
[
2.3992516176,
48.8853619504
],
[
2.3976678263,
48.8946061962
],
[
2.3845300456,
48.9021475934
],
[
2.3198871747,
48.9004597821
],
[
2.2911477637,
48.8893015708
],
[
2.2774870298,
48.8779683209
],
[
2.2584671711,
48.8803872631
],
[
2.2283773511,
48.8653803026
],
[
2.2242191059,
48.8535169176
],
[
2.2505156888,
48.8455551445
],
[
2.2551442384,
48.8348095494
],
[
2.2790519307,
48.8324899522
],
[
2.3318980606,
48.8170109297
]
]
]
},
"properties": {}
},
"hosp": 1289,
"jour": "2020-03-25",
"nom_dep": "Paris",
"code_dep": 75,
"geo_point_2d": {
"lat": 48.856571024492055,
"lon": 2.343448077115296
}
}Record 2dc: 126 · rad: 435
{
"dc": 126,
"rad": 435,
"rea": 187,
"geom": "[large value omitted]",
"hosp": 709,
"jour": "2020-04-03",
"nom_dep": "Seine-et-Marne",
"code_dep": 77,
"geo_point_2d": {
"lat": 48.627542552406496,
"lon": 2.933995727594988
}
}Record 3dc: 458 · rad: 1593
{
"dc": 458,
"rad": 1593,
"rea": 146,
"geom": "[large value omitted]",
"hosp": 691,
"jour": "2020-04-27",
"nom_dep": "Seine-et-Marne",
"code_dep": 77,
"geo_point_2d": {
"lat": 48.627542552406496,
"lon": 2.933995727594988
}
}Record 4dc: 464 · rad: 1578
{
"dc": 464,
"rad": 1578,
"rea": 104,
"geom": "[large value omitted]",
"hosp": 947,
"jour": "2020-05-13",
"nom_dep": "Essonne",
"code_dep": 91,
"geo_point_2d": {
"lat": 48.52294910116375,
"lon": 2.243015165622516
}
}Record 5dc: 685 · rad: 2624
{
"dc": 685,
"rad": 2624,
"rea": 37,
"geom": "[large value omitted]",
"hosp": 244,
"jour": "2020-07-04",
"nom_dep": "Seine-et-Marne",
"code_dep": 77,
"geo_point_2d": {
"lat": 48.627542552406496,
"lon": 2.933995727594988
}
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/comparatif-covid19-779175
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/comparatif-covid19-779175/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.