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  • Publish only accessible and machine-readable formats – do not publish your data in PDFs, images, and other inaccessible formats.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

  • A+

    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. 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+

    3. 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+

    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. 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
  • A+

    6. 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
  • A+

    7. _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+

    8. 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+

    9. 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+

    10. 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
  • A+

    11. Arizona, United States

    Sourced from Arizona Department of Health Services

    Data from opendata.arcgis.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+

    12. 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
  • A+

    13. 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+

    14. 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+

    15. 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+

    16. 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
  • A+

    17. 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+

    18. 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+

    19. 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+

    20. St. Louis County, Missouri, United States

    Sourced from St. Louis County COVID-19 page

    Maintained by Brendan Slezak 🇺🇸

    Data from opendata.arcgis.com

    ⚠️ Published as: HTML table
    ❌ Non-timeseries dataset
    ✅ Aggregates many localities in a single source
    ✅ Site uses SSL
    ❌ Site requires JavaScript
    ✅ Granular: county / municipality-level data
  • A+

    21. 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+

    22. 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+

    23. 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+

    24. 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+

    25. 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+

    26. 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+

    27. 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+

    28. 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+

    29. 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+

    30. 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+

    31. 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
  • A

    32. 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
  • A

    33. 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
  • A

    34. 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
  • A

    35. 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-

    36. 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
  • B

    37. 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
  • B

    38. 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
  • B

    39. 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-

    40. 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-

    41. 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+

    42. 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+

    43. 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
  • C+

    44. 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+

    45. 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
  • C+

    46. 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
  • C

    47. 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
  • C

    48. 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
  • C

    49. 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-

    50. New South Wales, Australia

    Sourced from NSW Government Health

    Maintained by Cameron Chamberlain 🇦🇺

    Data from health.nsw.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-

    51. 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-

    52. 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
  • D

    53. Ireland

    Sourced from Ireland Open Data Portal

    Maintained by Quentin Golsteyn 🇨🇦

    Data from opendata-geohive.hub.arcgis.com

    ✅ Published as: CSV
    ✅ Timeseries dataset
    ❌ Does not aggregate many localities in a single source
    ❌ Site does not use SSL
    ✅ Site does not require JavaScript
    ❌ Non-granular: country-level data
  • D

    54. 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
  • D

    55. 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
  • D

    56. 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
  • D

    57. 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
  • D

    58. 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
  • D

    59. 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
  • D

    60. 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
  • D

    61. 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
  • D

    62. 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
  • D

    63. 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

    64. 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
  • F

    65. 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
  • F

    66. 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
  • F

    67. 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
  • F

    68. 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
  • F

    69. 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
  • F

    70. 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
  • F

    71. 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
  • F

    72. Kansas, United States

    Sourced from Kansas Department of Health and Environment, Kansas Department of Health and Environment

    Maintained by Paul Boal 🇺🇸, Albert III 🇺🇸

    Data from coronavirus.kdheks.gov

    ❌ Published as: PDF
    ❌ Non-timeseries dataset
    ✅ Aggregates many localities in a single source
    ✅ Site uses SSL
    ✅ Site does not require JavaScript
    ✅ Granular: county / municipality-level data
  • F

    73. 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
  • F

    74. 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-

    75. 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-

    76. 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-

    77. 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