Data sources & transparency

To create the most comprehensive COVID-19 dataset, COVID Atlas pulls information from over 150 official government health data sources and verified curated datasets from around the world.

To encourage these official sources to improve the transparency, accessibility, and hygiene of their data, COVID Atlas publishes ratings of each source.

Ratings are about transparency, not accuracy

Because COVID Atlas only uses official data sources, it assumes its data is intended to be completely accurate.

COVID Atlas source ratings are based on:

Completeness of the data provided – this includes data points for confirmed, hospitalized, discharged, and recovered cases; fatalities; total tests administered, etc.)
Data granularity – official data provided at the most local possible level (often counties /municipalities)
Machine-readability – data is available in JSON or CSV, or at least HTML with one row per locality

Source ratings are not based on:

Accuracy of information – we use only official data and assume its accuracy in good faith

Do you administer an official government health data source?

Administrators of official government health data can improve their sources for the benefit of scientists, researchers, developers, and, most importantly, the general public. Below is a brief list of ways we recommend doing so:

Publish every bit of verifiable data you can – this includes cumulative or timeseries data for confirmed, hospitalized, discharged, and recovered cases; fatalities; total tests administered, etc.)
Publish as granularly as possible – The most useful datasets have the highest degrees of geographical specificity, including individual columns for each locality
Publish only accessible and machine-readable formats – do not publish your data in PDFs, images, and other inaccessible formats. These formats are hostile to the general public's need understand what's going on, and are in some cases illegal. Use HTML <table> with one row per locality at the most granular level you have, and if possible, also publish JSON and/or CSV formats

We’d like to hear from you and help you make your data better! Please do reach out to us on Slack or file an issue on GitHub

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1. California, United States

Curated by The Mercury News

Data from docs.google.com

✅ Published as: CSV

✅ Timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

2. Washoe County, Nevada, United States

Sourced from Washoe County Health District

Data from services.arcgis.com

✅ Published as: JSON

✅ Timeseries dataset

✅ Aggregates many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

3. Italy

Data from raw.githubusercontent.com

✅ Published as: CSV

✅ Timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

A+

4. Arkansas, United States

Sourced from Arkanas Department of Health

Maintained by Albert III 🇺🇸

Data from services.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

5. Tennessee, United States

Sourced from Tennessee Department of Health CEDEP

Data from services1.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

6. Spain

Sourced from Ministerio de Sanidad, Departamento de Seguridad Nacional

Curated by Antonio Delgado

Maintained by Herb Caudill

Data from github.com

✅ Published as: CSV

✅ Timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

A+

7. United States

Curated by The New York Times

Data from raw.githubusercontent.com

✅ Published as: CSV

✅ Timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

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8. Nye County, Nevada, United States

Sourced from Coronavirus (COVID-19) Information | Nye County, NV Official Website

Data from nyecounty.net

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

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9. United States

Curated by JHU CSSE

Maintained by Larry Davis 🇺🇸

Data from github.com

❌ Published as: HTML list

✅ Timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

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10. _JHU

Curated by JHU CSSE

Maintained by Larry Davis 🇺🇸

Data from github.com

❌ Published as: HTML list

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A+

11. Delaware, United States

Sourced from DHSS Division of Public Health

Data from services1.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

12. Florida, United States

Sourced from Florida Health

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

13. Massachusetts, United States

Sourced from Massachusetts DPH, Massachusetts Emergency Management Agency

Maintained by Quentin Golsteyn 🇨🇦, Albert III 🇺🇸

Data from services1.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

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14. Nebraska, United States

Maintained by Albert III 🇺🇸

Data from gis.ne.gov

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

15. France

Sourced from Santé publique France

Maintained by Quentin Golsteyn 🇨🇦

Data from data.gouv.fr

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A+

16. Illinois, United States

Sourced from IDPH

Data from dph.illinois.gov

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

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17. Maine, United States

Sourced from MeCDC

Data from maine.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

18. New Hampshire, United States

Sourced from New Hampshire Department of Health and Human Services

Maintained by Quentin Golsteyn 🇨🇦

Data from nh.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

19. Oklahoma, United States

Sourced from Oklahoma State Department of Health

Maintained by Paul Boal 🇺🇸

Data from storage.googleapis.com

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

20. Oregon, United States

Sourced from Oregon Health Authority

Data from oregon.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

21. Pennsylvania, United States

Sourced from Pennsylvania Department of Health

Data from health.pa.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

22. Wisconsin, United States

Sourced from Wisconsin Department of Health Services

Data from dhs.wisconsin.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

23. Taiwan

Sourced from Taiwan CDC

Data from covid19dashboard.cdc.gov.tw

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A+

24. Iowa, United States

Sourced from IDPH

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

❌ Site requires JavaScript

✅ Granular: county / municipality-level data

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25. Kentucky, United States

Sourced from Kentucky Cabinet for Health and Family Services

Maintained by Jordan Holt 🇺🇸

Data from datawrapper.dwcdn.net

❌ Published as: HTML list

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

26. Nevada, United States

Sourced from Carson City Health and Human Services

Data from gethealthycarsoncity.org

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

27. Austria

Sourced from Austrian Ministry of Health

Maintained by Quentin Golsteyn 🇨🇦

Data from info.gesundheitsministerium.at

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A+

28. Belgium

Sourced from Sciensano

Maintained by Quentin Golsteyn 🇨🇦

Data from epistat.wiv-isp.be

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A+

29. Brazil

Sourced from SVS-MS

Maintained by Felipe Roberto 🇧🇷

Data from covid.saude.gov.br

❌ Published as: HTML list

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A+

30. Michigan, United States

Sourced from Michigan Department of Health & Human Services

Data from michigan.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

31. Russia

Sourced from Rospotrebnadzor

Curated by Yandex

Maintained by Arseniy Ivanov

Data from yandex.ru

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

A+

32. Ukraine

Sourced from National Security and Defense Council of Ukraine

Maintained by Christopher Rucinski 🇰🇷

Data from api-covid19.rnbo.gov.ua

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

A+

33. Alabama, United States

Sourced from Alabama Department of Public Health - Division of Infectious Diseases & Outbreaks

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

34. Colorado, United States

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

35. Connecticut, United States

Sourced from Connecticut State DPH

Maintained by Quentin Golsteyn 🇨🇦

Data from maps.ct.gov

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

36. Idaho, United States

Sourced from IDHW

Data from services1.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

37. Indiana, United States

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

38. Louisiana, United States

Sourced from Louisiana Department of Health

Data from services5.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

39. Maryland, United States

Sourced from Maryland Department of Health

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

40. North Carolina, United States

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

41. North Dakota, United States

Sourced from North Dakota Department of Health

Data from static.dwcdn.net

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

42. New Jersey, United States

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

43. New York, United States

Sourced from New York State Department of Health

Data from health.data.ny.gov

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

44. Ohio, United States

Sourced from Ohio Department of Health

Data from coronavirus.ohio.gov

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

45. South Carolina, United States

Data from opendata.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

46. Virginia, United States

Sourced from VDH

Maintained by Albert III 🇺🇸

Data from vdh.virginia.gov

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

47. Vermont, United States

Sourced from Vermont Department of Health

Maintained by Albert III 🇺🇸

Data from services1.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

48. Washington, United States

Sourced from Washington State Department of Health

Data from services8.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

A+

49. United States

Curated by The COVID Tracking Project

Data from covidtracking.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

50. India

Data from mohfw.gov.in

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

51. Georgia, United States

Sourced from Georgia Department of Public Health

Data from ga-covid19.ondemand.sas.com

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

52. Missouri, United States

Sourced from Missouri Department of Health and Senior Services

Maintained by Paul Boal 🇺🇸

Data from opendata.arcgis.com

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

53. Mississippi, United States

Sourced from Mississippi State Department of Health

Data from msdh.ms.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

54. Utah, United States

Sourced from Utah Department of Health

Data from coronavirus-dashboard.utah.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

55. South Africa

Sourced from Coronavirus COVID-19 (2019-nCoV) Data Repository for South Africa

Maintained by Quentin Golsteyn 🇨🇦

Data from github.com

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

A-

56. South Korea

Sourced from Ministry of Health and Welfare

Maintained by Jacob McGowan, Cameron Chamberlain 🇦🇺

Data from ncov.mohw.go.kr

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

A-

57. Rhode Island, United States

Sourced from State of Rhode Island Department of Health

Data from health.ri.gov

✅ Published as: CSV

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

❌ Site requires JavaScript

❌ Non-granular: state-level data

58. Switzerland

Maintained by Quentin Golsteyn 🇨🇦

Data from github.com

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

59. Germany

Sourced from Robert Koch-Institut (RKI), Landesgesundheitsminmisterien, Landesgesundheitsämter

Curated by Dr. Jan-Philip Gehrcke

Maintained by Dr. Jan-Philip Gehrcke

Data from raw.githubusercontent.com

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

60. Estonia

Sourced from Estonia Health and Welfare Information Systems Center

Maintained by Quentin Golsteyn 🇨🇦

Data from opendata.digilugu.ee

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

B-

61. Canada

Sourced from Public Health Agency of Canada

Data from health-infobase.canada.ca

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

B-

62. United Kingdom

Sourced from GOV.UK

Maintained by Quentin Golsteyn 🇨🇦

Data from publicdashacc.blob.core.windows.net

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

B-

63. Arizona, United States

Sourced from Arizona Department of Health Services

Data from opendata.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

B-

64. Minnesota, United States

Sourced from Minnesota Department of Health, Minnesota Department of Health

Data from services1.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

B-

65. Montana, United States

Data from services.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

C+

66. Czechia

Sourced from Ministry of Health of the Czech Republic

Maintained by Quentin Golsteyn 🇨🇦

Data from onemocneni-aktualne.mzcr.cz

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

C+

67. Netherlands

Sourced from CoronaWatchNL

Maintained by Quentin Golsteyn 🇨🇦

Data from github.com

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

C+

68. Poland

Sourced from Ministry of Health of the Republic of Poland

Maintained by Quentin Golsteyn 🇨🇦

Data from gov.pl

❌ Published as: HTML list

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

C+

69. District of Columbia, Washington, D.C., United States

Sourced from DC Public Health Laboratory

Maintained by Albert III 🇺🇸

Data from coronavirus.dc.gov

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

70. Lithuania

Sourced from Ministry of Health of the Republic of Lithuania

Maintained by Quentin Golsteyn 🇨🇦

Data from services.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

71. Ventura County, California, United States

Maintained by John Bencina 🇺🇸, Tyler Austin 🇺🇸

Data from vcemergency.com

❌ Published as: Paragraph

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

72. Hawaii, United States

Sourced from Hawaii Department of Health - Disease Outbreak Control Division

Maintained by Jordan Holt 🇺🇸

Data from health.hawaii.gov

❌ Published as: HTML list

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

C-

73. Australian Capital Territory, Australia

Sourced from ACT Government Health

Maintained by Cameron Chamberlain 🇦🇺

Data from covid19.act.gov.au

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

C-

74. Northern Territory, Australia

Sourced from Northern Territory Government - Coronavirus site

Maintained by Cameron Chamberlain 🇦🇺

Data from coronavirus.nt.gov.au

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

C-

75. South Australia, Australia

Sourced from SA Health

Maintained by Cameron Chamberlain 🇦🇺

Data from sahealth.sa.gov.au

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

C-

76. Tasmania, Australia

Sourced from Tasmanian Government

Maintained by Cameron Chamberlain 🇦🇺

Data from coronavirus.tas.gov.au

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

C-

77. Clark County, Nevada, United States

Sourced from Southern Nevada Health District

Data from southernnevadahealthdistrict.org

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

78. Slovenia

Sourced from COVID-19 Sledilnik

Maintained by Quentin Golsteyn 🇨🇦

Data from raw.githubusercontent.com

✅ Published as: CSV

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

79. Thailand

Sourced from Department of Disease Control Thailand

Maintained by Cameron Chamberlain 🇦🇺

Data from ddcportal.ddc.moph.go.th

✅ Published as: JSON

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

80. Contra Costa County, California, United States

Maintained by John Bencina 🇺🇸

Data from coronavirus.cchealth.org

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

81. Fresno County, California, United States

Maintained by John Bencina 🇺🇸

Data from co.fresno.ca.us

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

82. Los Angeles County, California, United States

Sourced from County of Los Angeles Public Health

Maintained by John Bencina 🇺🇸, Cameron Chamberlain 🇦🇺

Data from publichealth.lacounty.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

83. Mono County, California, United States

Maintained by John Bencina 🇺🇸

Data from monocovid19-monomammoth.hub.arcgis.com

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

84. Placer County, California, United States

Maintained by John Bencina 🇺🇸

Data from placer.ca.gov

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

85. San Diego County, California, United States

Maintained by John Bencina 🇺🇸

Data from sandiegocounty.gov

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

86. San Joaquin County, California, United States

Maintained by John Bencina 🇺🇸

Data from sjcphs.org

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

87. San Mateo County, California, United States

Maintained by John Bencina 🇺🇸

Data from smchealth.org

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

88. Indonesia

Sourced from Ministry of Health Republic of Indonesia

Maintained by Cameron Chamberlain 🇦🇺

Data from kemkes.go.id

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

89. New Zealand

Sourced from New Zealand Government Ministry of Health

Maintained by Cameron Chamberlain 🇦🇺

Data from health.govt.nz

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

90. Stanislaus County, California, United States

Maintained by John Bencina 🇺🇸

Data from schsa.org

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

F+

91. Victoria, Australia

Sourced from Victoria State Government Health and Human Services

Maintained by Cameron Chamberlain 🇦🇺

Data from dhhs.vic.gov.au

❌ Published as: Paragraph

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: state-level data

92. Cyprus

Sourced from data.gov.cy

Maintained by Quentin Golsteyn 🇨🇦

Data from data.gov.cy

✅ Published as: CSV

✅ Timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

93. Scotland, United Kingdom

Data from gov.scot

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

94. Monterey County, California, United States

Data from co.monterey.ca.us

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

95. Shasta County, California, United States

Maintained by John Bencina 🇺🇸

Data from co.shasta.ca.us

⚠️ Published as: HTML table

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

96. New Mexico, United States

Sourced from New Mexico Department of Health

Data from cv.nmhealth.org

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

97. Sweden

Sourced from Public Health Agency of Sweden

Maintained by Quentin Golsteyn 🇨🇦

Data from services5.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

98. Alaska, United States

Sourced from Alaska Department of Health and Social Services

Data from dhss.alaska.gov

⚠️ Published as: HTML table

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

99. Butte County, California, United States

Sourced from BCPHD

Maintained by John Bencina 🇺🇸

Data from buttecounty.net

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

100. Kings County, California, United States

Maintained by John Bencina 🇺🇸, Cameron Chamberlain 🇦🇺

Data from countyofkings.com

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

101. Wyoming, United States

Sourced from Wyoming Department of Health

Maintained by Larry Davis 🇺🇸

Data from health.wyo.gov

❌ Published as: Paragraph

❌ Non-timeseries dataset

✅ Aggregates many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

102. United States Virgin Islands

Sourced from United States Virgin Islands Department of Health

Maintained by Cameron Chamberlain 🇦🇺

Data from covid19usvi.com

❌ Published as: Paragraph

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

F-

103. Colusa County, California, United States

Maintained by John Bencina 🇺🇸

Data from countyofcolusa.org

❌ Published as: HTML list

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

❌ Site does not use SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

F-

104. Japan

Sourced from Ministry of Health, Labour, and Welfare Japan

Maintained by Cameron Chamberlain 🇦🇺

Data from services8.arcgis.com

✅ Published as: JSON

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

F-

105. Latvia

Sourced from Latvia Management of the Center for Disease Prevention and Control

Maintained by Quentin Golsteyn 🇨🇦

Data from services7.arcgis.com

✅ Published as: CSV

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

❌ Non-granular: country-level data

F-

106. San Francisco County, California, United States

Maintained by John Bencina 🇺🇸

Data from sfdph.org

❌ Published as: Paragraph

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data

F-

107. San Luis Obispo County, California, United States

Data from emergencyslo.org

❌ Published as: Paragraph

❌ Non-timeseries dataset

❌ Does not aggregate many localities in a single source

✅ Site uses SSL

✅ Site does not require JavaScript

✅ Granular: county / municipality-level data