The aim of this repository is to provide open government datasets for SARS-CoV-2 related data reported by the Swiss Cantons and the Principality of Liechtenstein. Since Jun 8, 2020 most cantons report case numbers once or twice a week. Updates of cantonal case numbers during weekends are infrequent.
If you have any questions, please don't hestitate to contact us:
https://twitter.com/OpenDataZH (follow us, we send you a private Direct Message, thanks!)
[email protected]
Swiss Cantons and Principality of Liechtenstein
Conton Zürich
Don't forget to take a look at the community contributions.
General description
This data is generated and validated daily at 6pm using manual and automated procedures. Note that we only publish data that are reported by the Swiss Cantons and the Principality of Liechtenstein. Thus, gaps result if Swiss Cantons or the Principality of Liechtenstein do not report data for the specific date.
Data
https://github.com/openZH/covid_19/tree/master/fallzahlen_kanton_total_csv_v2
Description: Case numbers for each spatial unit separately.
Spatial unit: Swiss cantons and Principality of Liechtenstein
Format: csv
??? Additional remark: In contrast to https://github.com/openZH/covid_19/blob/master/fallzahlen_kanton_total_csv/
https://github.com/openZH/covid_19/blob/master/COVID19_Fallzahlen_CH_total_v2.csv
Description: Case numbers for all spatial units in one single file.
Spatial unit: Swiss cantons and Principality of Liechtenstein
Format: csv
??? Additional remark: In contrast to https://github.com/openZH/covid_19/blob/master/COVID19_Fallzahlen_CH_total.csv ...
Metadata
| Field Name | Description | Format | Note |
|---|---|---|---|
| date | Date of notification | YYYY-MM-DD | |
| time | Time of notification | HH:MM | |
| abbreviation_canton_and_fl | Abbreviation of the reporting canton | Text | |
| ncumul_tested | Reported number of tests performed as of date | Number | Irrespective of canton of residence |
| ncumul_conf | Reported number of confirmed cases as of date | Number | Only cases that reside in the current canton |
| new_hosp | new hospitalisations since last date | Number | Irrespective of canton of residence |
| current_hosp | Reported number of hospitalised patients on date | Number | Irrespective of canton of residence |
| current_icu | Reported number of hospitalised patients in ICUs on date | Number | Irrespective of canton of residence |
| current_vent | Reported number of patients requiring invasive ventilation on date | Number | Irrespective of canton of residence |
| ncumul_released | Reported number of patients released from hospitals or reported recovered as of date | Number | Irrespective of canton of residence |
| ncumul_deceased | Reported number of deceased as of date | Number | Only cases that reside in the current canton |
| source | Source of the information | href | |
| current_isolated | Reported number of isolated persons on date | Number | Infected persons, who are not hospitalised |
| current_quarantined | Reported number of quarantined persons on date | Number | Persons, who were in 'close contact' with an infected person, while that person was infectious, and are not hospitalised themselves |
Empty values vs. 0
| Value | Meaning |
|---|---|
| 0 | Zero cases are reported. |
| empty | No value is reported. |
Data collection
This list provides an overview of how the data is collected:
| Canton / FL | updated by | data historized |
|---|---|---|
| FL | scraping | yes |
| AG | scraping | yes |
| AI | scraping | yes |
| AR | scraping | yes |
| BE | scraping | yes |
| BL | scraping | yes |
| BS | manually | yes |
| FR | scraping | yes |
| GE | scraping | yes |
| GL | scraping | yes |
| GR | scraping | yes |
| JU | scraping | yes |
| LU | scraping | yes |
| NE | scraping | yes |
| NW | scraping | yes |
| OW | scraping | yes |
| SG | scraping | yes |
| SH | scraping | yes |
| SO | scraping | yes |
| SZ | scraping | yes |
| TG | scraping | yes |
| TI | scraping | yes |
| UR | scraping | yes |
| VD | scraping | yes |
| VS | scraping | yes |
| ZG | scraping | yes |
| ZH | scraping | yes |
Latest updates
The latest updates are visualized here. Note that this images is updated every 20 minutes.
Data
https://github.com/kalakaru/covid_19/tree/master/fallzahlen_kanton_alter_geschlecht_csv
Description: Selected cantons publish more detailed datasets.
Spatial unit: Swiss cantons and Principality of Liechtenstein
Format: csv
Additional remark: Not all datasets are maintained.
Maintained datasets
- See: https://github.com/kalakaru/covid_19/blob/master/README.md#conton-z%C3%BCrich-more-detailed-dataset
Unmaintained datasets
Metadata for unmaintained datasets
| Field Name | Description | Format | Reporting Cantons |
|---|---|---|---|
| Date | ZH = Date of test result (NewConfCases) / Date of death (NewDeaths) BL = Date of death BS = Date of notification |
YYYY-MM-DD | |
| Area | Abbreviation of the reporting canton | ||
| AgeYear | Number | ZH,BS,BL | |
| Gender | Text | ZH,BS,BL | |
| NewConfCases | Number of Confirmed Cases | Number | ZH |
| NewDeaths | Number of Deceased | Number | ZH,BS,BL |
| PreExistingCond | Pre-Existing Conditions | Text | BL,BS |
See:
- https://github.com/kalakaru/covid_19/blob/master/README.md#swiss-cantons-and-principality-of-liechtenstein-unified-dataset
- open data swiss: COVID_19 Fallzahlen Kanton Zürich Total
Data
https://github.com/openZH/covid_19/blob/master/fallzahlen_kanton_alter_geschlecht_csv/COVID19_Fallzahlen_Kanton_ZH_altersklassen_geschlecht.csv
Description: open data swiss: COVID_19 Verteilung der Fälle im Kanton Zürich nach Altersklasse, Geschlecht und Kalenderwoche
Spatial unit: Conton Zürich
Format: csv
Additional remark: Comparable data for the canton of Thurgau is published at opendata.swiss.
Metadata
| Spaltenname / Fieldname | Beschreibung (DE) | Description (EN) | Format |
|---|---|---|---|
| Week | Kalenderwoche des Befundes (NewConfCases) / Todesdatums (NewDeaths) | Calendar week of test result (NewConfCases) / Date of death (NewDeaths) | Zahl |
| Year | Jahr des Befundes (NewConfCases) / Todesdatums (NewDeaths) | Year of test result (NewConfCases) / Date of death (NewDeaths) | Zahl |
| Area | Kanton | Abbreviation of the reporting canton | Text |
| AgeYearCat | 10-Jahres Altersklassen | Age groups (10 year steps) | Text |
| Gender | Geschlecht | Gender | Text |
| NewConfCases | Neue bestätigte Fälle | Newly confirmed number of cases | Zahl |
| NewDeaths | Neue Todesfälle | Newly confirmed number of deaths | Zahl |
Data
https://github.com/openZH/covid_19/blob/master/fallzahlen_kanton_alter_geschlecht_csv/COVID19_Einwohner_Kanton_ZH_altersklassen_geschlecht.csv
Description: Inhabitants per age category and gender.
Spatial unit: Conton Zürich
Format: csv
Metadata
| Spaltenname / Fieldname | Beschreibung (DE) | Description (EN) | Format |
|---|---|---|---|
| Year | Stichtag ist jeweils der 31.12 des angegebenen Jahres | The reporting date is the 31.12 of the indicated year | Zahl |
| Area | Kanton | Abbreviation of the reporting canton | Text |
| AgeYearCat | 10-Jahres Altersklassen | Age groups (10 year steps) | Text |
| Gender | Geschlecht | Gender | Text |
| Inhabitants | Anzahl Einwohner | Number of inhabitants | Zahl |
Data
https://github.com/kalakaru/covid_19/blob/master/fallzahlen_plz/fallzahlen_kanton_ZH_plz.csv
Description: opendata.swiss: COVID_19 Fallzahlen Kanton Zürich nach Bezirk und Kalenderwoche
Spatial unit: Conton Zürich
Format: csv
Additional remark:
Metadata
| Fieldname | Beschreibung (DE) | Description (EN) | Format |
|---|---|---|---|
| PLZ | Postleitzahl* | Postalcode* | Zahl |
| Date | Datum des Befundes | Date of test result (NewConfCases) | Zahl |
| Population | Einwohner mit Hauptwohnsitz | Inhabitants with main residency | Zahl |
| NewConfCases_7days | Neue bestätigte Fälle in den letzten sieben Tagen (Kategorien) | Newly confirmed cases (Categories) | Text |
Geodata
https://github.com/kalakaru/covid_19/blob/master/fallzahlen_plz/PLZ_gen_epsg4326_F_KTZH_2020.json
https://github.com/kalakaru/covid_19/blob/master/fallzahlen_plz/PLZ_gen_epsg2056_F_KTZH_2020.json
Data
https://github.com/kalakaru/covid_19/blob/master/fallzahlen_bezirke/fallzahlen_kanton_ZH_bezirk.csv
Description: opendata.swiss: COVID_19 Verteilung der Fälle im Kanton Zürich nach Postleitzahl
Spatial unit: Conton Zürich
Format: csv
Metadata
| Fieldname | Beschreibung (DE) | Description (EN) | Format |
|---|---|---|---|
| DistrictId | Bezirks-ID (BFS-Nummer)* | District (BFS-Id)* | Zahl |
| District | Bezirksname* | District name* | Text |
| Population | Wohnbevölkerung | Population | Zahl |
| Week | Kalenderwoche des Befundes (NewConfCases) / Todesdatums (NewDeaths) | Calendar week of test result (NewConfCases) / Date of death (NewDeaths) | Zahl |
| Year | Jahr des Befundes (NewConfCases) / Todesdatums (NewDeaths) | Year of test result (NewConfCases) / Date of death (NewDeaths) | Zahl |
| NewConfCases | Neue bestätigte Fälle | Newly confirmed number of cases | Zahl |
| NewDeaths | Neue Todesfälle | Newly confirmed number of deaths | Zahl |
| TotalConfCases | Total der bestätigten Fälle (kumuliert) | Total of confirmed cases (cumulated) | Zahl |
| TotalDeaths | Total der Todesfälle (kumuliert) | Total of confirmed deaths (cumulated) | Zahl |
Geodata
- https://rsalzer.github.io/COVID_19_CH/
- https://rsalzer.github.io/COVID_19_KT_ZH/
Robert Salzer on Twitter: https://twitter.com/rob_salzer
- https://covid19.ddrobotec.com/
github-repo
Zeno Davatz on Twitter: https://twitter.com/zdavatz
- https://www.corona-data.ch/
github-repo
Daniel Probst on Twitter: https://twitter.com/skepteis?lang=de
- https://covid19-rest.herokuapp.com
- github-repo
Andreas Pfeuti
- https://amkuhn.shinyapps.io/restimate/
Alexandre Kuhn
- https://data.bs.ch/pages/covid-19-dashboard/
Open Government Data Basel-Stadt on Twitter: https://twitter.com/OpenDataBS
Many thanks for the great work!