100+ datasets found
  1. COVID-19 Outbreak Data (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +1more
    csv, zip
    Updated Aug 5, 2025
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    California Department of Public Health (2025). COVID-19 Outbreak Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-outbreak-data
    Explore at:
    csv(62919), csv(326192), zipAvailable download formats
    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This dataset is no longer being updated as of June 2, 2025.

    This dataset contains numbers of COVID-19 outbreaks and associated cases, categorized by setting, reported to CDPH since January 1, 2021.

    AB 685 (Chapter 84, Statutes of 2020) and the Cal/OSHA COVID-19 Emergency Temporary Standards (Title 8, Subchapter 7, Sections 3205-3205.4) required non-healthcare employers in California to report workplace COVID-19 outbreaks to their local health department (LHD) between January 1, 2021 – December 31, 2022. Beginning January 1, 2023, non-healthcare employer reporting of COVID-19 outbreaks to local health departments is voluntary, unless a local order is in place. More recent data collected without mandated reporting may therefore be less representative of all outbreaks that have occurred, compared to earlier data collected during mandated reporting. Licensed health facilities continue to be mandated to report outbreaks to LHDs.

    LHDs report confirmed outbreaks to the California Department of Public Health (CDPH) via the California Reportable Disease Information Exchange (CalREDIE), the California Connected (CalCONNECT) system, or other established processes. Data are compiled and categorized by setting by CDPH. Settings are categorized by U.S. Census industry codes. Total outbreaks and cases are included for individual industries as well as for broader industrial sectors.

    The first dataset includes numbers of outbreaks in each setting by month of onset, for outbreaks reported to CDPH since January 1, 2021. This dataset includes some outbreaks with onset prior to January 1 that were reported to CDPH after January 1; these outbreaks are denoted with month of onset “Before Jan 2021.” The second dataset includes cumulative numbers of COVID-19 outbreaks with onset after January 1, 2021, categorized by setting. Due to reporting delays, the reported numbers may not reflect all outbreaks that have occurred as of the reporting date; additional outbreaks may have occurred that have not yet been reported to CDPH.

    While many of these settings are workplaces, cases may have occurred among workers, other community members who visited the setting, or both. Accordingly, these data do not distinguish between outbreaks involving only workers, outbreaks involving only residents or patrons, or outbreaks involving both.

    Several additional data limitations should be kept in mind:

    • Outbreaks are classified as “Insufficient information” for outbreaks where not enough information was available for CDPH to assign an industry code.

    • Some sectors, particularly congregate residential settings, may have increased testing and therefore increased likelihood of outbreak recognition and reporting. As a result, in congregate residential settings, the number of outbreak-associated cases may be more accurate.

    • However, in most settings, outbreak and case counts are likely underestimates. For most cases, it is not possible to identify the source of exposure, as many cases have multiple possible exposures.

    • Because some settings have been at times been closed or open with capacity restrictions, numbers of outbreak reports in those settings do not reflect COVID-19 transmission risk.

    • The number of outbreaks in different settings will depend on the number of different workplaces in each setting. More outbreaks would be expected in settings with many workplaces compared to settings with few workplaces.

  2. COVID-19 Time-Series Metrics by County and State (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, xlsx, zip
    Updated Aug 28, 2024
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    California Department of Public Health (2024). COVID-19 Time-Series Metrics by County and State (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state
    Explore at:
    csv(7729431), xlsx(6471), csv(3313), xlsx(7811), csv(4836928), csv(6223281), xlsx(11305), zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This COVID-19 data set is no longer being updated as of December 1, 2023. Access current COVID-19 data on the CDPH respiratory virus dashboard (https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/Respiratory-Viruses/RespiratoryDashboard.aspx) or in open data format (https://data.chhs.ca.gov/dataset/respiratory-virus-dashboard-metrics).

    As of August 17, 2023, data is being updated each Friday.

    For death data after December 31, 2022, California uses Provisional Deaths from the Center for Disease Control and Prevention’s National Center for Health Statistics (NCHS) National Vital Statistics System (NVSS). Prior to January 1, 2023, death data was sourced from the COVID-19 registry. The change in data source occurred in July 2023 and was applied retroactively to all 2023 data to provide a consistent source of death data for the year of 2023.

    As of May 11, 2023, data on cases, deaths, and testing is being updated each Thursday. Metrics by report date have been removed, but previous versions of files with report date metrics are archived below.

    All metrics include people in state and federal prisons, US Immigration and Customs Enforcement facilities, US Marshal detention facilities, and Department of State Hospitals facilities. Members of California's tribal communities are also included.

    The "Total Tests" and "Positive Tests" columns show totals based on the collection date. There is a lag between when a specimen is collected and when it is reported in this dataset. As a result, the most recent dates on the table will temporarily show NONE in the "Total Tests" and "Positive Tests" columns. This should not be interpreted as no tests being conducted on these dates. Instead, these values will be updated with the number of tests conducted as data is received.

  3. Total number of U.S. COVID-19 cases as of March 10, 2023, by state

    • statista.com
    Updated Sep 15, 2022
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    Statista (2022). Total number of U.S. COVID-19 cases as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1102807/coronavirus-covid19-cases-number-us-americans-by-state/
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    Dataset updated
    Sep 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, the state with the highest number of COVID-19 cases was California. Almost 104 million cases have been reported across the United States, with the states of California, Texas, and Florida reporting the highest numbers.

    From an epidemic to a pandemic The World Health Organization declared the COVID-19 outbreak a pandemic on March 11, 2020. The term pandemic refers to multiple outbreaks of an infectious illness threatening multiple parts of the world at the same time. When the transmission is this widespread, it can no longer be traced back to the country where it originated. The number of COVID-19 cases worldwide has now reached over 669 million.

    The symptoms and those who are most at risk Most people who contract the virus will suffer only mild symptoms, such as a cough, a cold, or a high temperature. However, in more severe cases, the infection can cause breathing difficulties and even pneumonia. Those at higher risk include older persons and people with pre-existing medical conditions, including diabetes, heart disease, and lung disease. People aged 85 years and older have accounted for around 27 percent of all COVID-19 deaths in the United States, although this age group makes up just two percent of the U.S. population

  4. COVID-19 Wastewater Surveillance Data. California

    • data.ca.gov
    • data.cnra.ca.gov
    • +2more
    csv, docx, xlsx
    Updated Sep 10, 2024
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    California State Water Resources Control Board (2024). COVID-19 Wastewater Surveillance Data. California [Dataset]. https://data.ca.gov/dataset/covid-19-wastewater-surveillance-data-california
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    csv(23660), csv(3502), csv(194105011), csv(28325), docx(68193), xlsx(60698)Available download formats
    Dataset updated
    Sep 10, 2024
    Dataset authored and provided by
    California State Water Resources Control Board
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    California
    Description

    NOTICE: As of September 6, 2024, the wastewater surveillance dataset will now be hosted on: https://data.chhs.ca.gov/dataset/wastewater-surveillance-data-california. The dataset will no longer be updated on this webpage and will contain a historic dataset. Users who wish to access new and updated data will need to visit the new webpage.

    The California Department of Public Health (CDPH) and the California State Water Resources Control Board (SWRCB) together are coordinating with several wastewater utilities, local health departments, universities, and laboratories in California on wastewater surveillance for SARS-CoV-2, the virus causing COVID-19. Data collected from this network of participants, called the California Surveillance of Wastewater Systems (Cal-SuWers) Network, are submitted to the U.S. Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS).

    During the COVID-19 pandemic, it has been used for the detection and quantification of SARS-CoV-2 virus shed into wastewater via feces of infected persons. Wastewater surveillance tracks ""pooled samples"" that reflect the overall disease activity for a community serviced by the wastewater treatment plant (an area known as a ""sewershed""), rather than tracking samples from individual people. Notably, while SARS-CoV-2 virus is shed fecally by infected persons, COVID-19 is spread primarily through the respiratory route, and there is no evidence to date that exposure to treated or untreated wastewater has led to infection with COVID-19.

    Collecting and analyzing wastewater samples for the overall amount of SARS-CoV-2 viral particles present can help inform public health about the level of viral transmission within a community. Data from wastewater testing are not intended to replace existing COVID-19 surveillance systems, but are meant to complement them. While wastewater surveillance cannot determine the exact number of infected persons in the area being monitored, it can provide the overall trend of virus concentration within that community. With our local partners, the SWRCB and CDPH are currently monitoring and quantifying levels of SARS-CoV-2 at the headworks or ""influent"" of 21 wastewater treatment plants representing approximately 48% of California's population."

  5. f

    Data_Sheet_1_STOP COVID-19 CA: Community engagement to address the disparate...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Jun 4, 2023
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    Alejandra Casillas; Lisa G. Rosas; Savanna L. Carson; Allison Orechwa; Gemma North; Mona AuYoung; Gloria Kim; Jesus A. Guereca; Christian B. Ramers; Nancy J. Burke; Claudia G. Corchado; Sergio Aguilar-Gaxiola; Ann Cheney; Borsika A. Rabin; Nicole A. Stadnick; William Oswald; Abby Cabrera; Dara H. Sorkin; Frank Zaldivar; Wennie Wong; Anusha S. Yerraguntala; Stefanie D. Vassar; Aziza Lucas Wright; Donna L. Washington; Keith C. Norris; Arleen F. Brown (2023). Data_Sheet_1_STOP COVID-19 CA: Community engagement to address the disparate impacts of the COVID-19 pandemic in California.PDF [Dataset]. http://doi.org/10.3389/frhs.2022.935297.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Alejandra Casillas; Lisa G. Rosas; Savanna L. Carson; Allison Orechwa; Gemma North; Mona AuYoung; Gloria Kim; Jesus A. Guereca; Christian B. Ramers; Nancy J. Burke; Claudia G. Corchado; Sergio Aguilar-Gaxiola; Ann Cheney; Borsika A. Rabin; Nicole A. Stadnick; William Oswald; Abby Cabrera; Dara H. Sorkin; Frank Zaldivar; Wennie Wong; Anusha S. Yerraguntala; Stefanie D. Vassar; Aziza Lucas Wright; Donna L. Washington; Keith C. Norris; Arleen F. Brown
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description

    ObjectiveTo describe the early activities and lessons of the Share, Trust, Organize, Partner COVID-19 California Alliance (STOP COVID-19 CA), the California awardee of the NIH-funded multi-state Community Engagement Alliance (CEAL) against COVID-19. The Alliance was established to ensure equity in Coronavirus-19 disease (COVID-19) research, clinical practice, and public health for communities most impacted by the COVID-19 pandemic.Study settingThe STOP COVID-19 CA Alliance network of 11 universities and affiliated partner community-based organizations (CBOs) across California.Study designMixed methods evaluation consisting of an analysis of activity (August 2020 to December 2021) detailed in reports submitted by community-academic teams and a survey (August 2021) of academic investigators and affiliated community-based organization (CBO) partners.Data collectionWe summarized activities from the 11 community-academic teams' progress reports and described results from an online survey of academic investigators and CBO partners in the California Alliance.Principal findingsA review of progress reports (n = 256) showed that teams fielded surveys to 11,000 Californians, conducted 133 focus groups, partnered with 29 vaccine/therapeutics clinical trials, and led more than 300 town halls and vaccine events that reached Californians from communities disproportionately impacted by COVID-19. Survey responses from academic investigators and CBO partners emphasized the importance of learning from the successes and challenges of the California Alliance teams' COVID-19 initiatives. Both academic and CBO respondents highlighted the need for streamlined federal and institutional administrative policies, and fiscal practices to promote more effective and timely operations of teams in their efforts to address the numerous underlying health and social disparities that predispose their communities to higher rates of, and poor outcomes from, COVID-19.ConclusionsSTOP COVID-19 CA represents a new and potentially sustainable statewide community engagement model for addressing health disparities in multiethnic/multicultural and geographically dispersed communities.

  6. COVID-19 California Case Map by City

    • data.amerigeoss.org
    esri rest, html
    Updated Apr 20, 2020
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    ESRI (2020). COVID-19 California Case Map by City [Dataset]. https://data.amerigeoss.org/gl/dataset/covid-19-california-case-map-by-city
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    esri rest, htmlAvailable download formats
    Dataset updated
    Apr 20, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Area covered
    California
    Description

    This map shows cases broken down by the county level and city level in Southern California.

    California COVID-19 county level counts for COVID-19 cases. Feature layer sourced from data collected at https://coronavirus.1point3acres.com/en, updated at least daily.

    All city information comes from their county's counts.

  7. COVID-19 State Profile Report - California

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • data.virginia.gov
    • +4more
    Updated Jul 4, 2025
    + more versions
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    U.S. Department of Health and Human Services (2025). COVID-19 State Profile Report - California [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/covid-19-state-profile-report-california
    Explore at:
    Dataset updated
    Jul 4, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Area covered
    California
    Description

    After over two years of public reporting, the State Profile Report will no longer be produced and distributed after February 2023. The final release was on February 23, 2023. We want to thank everyone who contributed to the design, production, and review of this report and we hope that it provided insight into the data trends throughout the COVID-19 pandemic. Data about COVID-19 will continue to be updated at CDC’s COVID Data Tracker. The State Profile Report (SPR) is generated by the Data Strategy and Execution Workgroup in the Joint Coordination Cell, in collaboration with the White House. It is managed by an interagency team with representatives from multiple agencies and offices (including the United States Department of Health and Human Services (HHS), the Centers for Disease Control and Prevention, the HHS Assistant Secretary for Preparedness and Response, and the Indian Health Service). The SPR provides easily interpretable information on key indicators for each state, down to the county level. It is a weekly snapshot in time that: Focuses on recent outcomes in the last seven days and changes relative to the month prior Provides additional contextual information at the county level for each state, and includes national level information Supports rapid visual interpretation of results with color thresholds

  8. CDPH-Wastewater Surveillance Data, California

    • data.ca.gov
    • data.chhs.ca.gov
    • +3more
    csv, xlsx, zip
    Updated Sep 5, 2025
    + more versions
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    California Department of Public Health (2025). CDPH-Wastewater Surveillance Data, California [Dataset]. https://data.ca.gov/dataset/cdph-wastewater-surveillance-data-california
    Explore at:
    csv, xlsx, zipAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description

    The California Department of Public Health (CDPH) is coordinating with wastewater utilities, local health departments, academic researchers, and laboratories in California on wastewater surveillance for infectious disease pathogens of interest to public health (such as SARS-CoV-2, the virus causing COVID-19, influenza, respiratory syncytial virus (RSV), mpox, and norovirus). Data collected from this network of participants, called the California Surveillance of Wastewaters (Cal-SuWers) Network, are submitted to the U.S. Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS).

    Collecting and analyzing wastewater samples for the presence of, and amount of (concentration), a specified pathogen target can help inform public health about circulation of that infectious disease within a community. Data from wastewater testing do not replace existing public health surveillance systems but complement them. While wastewater surveillance cannot determine the exact number of infected persons in the area being monitored, it can provide overall trends of pathogen concentration within that community.

    Please note that data included in the Cal-SuWers Network and available here originate from multiple programs and laboratories. Methodologies for producing wastewater data are not currently standardized, and analyses, comparisons, and aggregations should be done with caution. Wastewater is a complex environmental sample and inherent variability in measured concentrations is expected due to environmental variability, day-to-day differences in sewershed and population dynamics, differences in the amount of shedding between people and pathogens, and laboratory and sampling variability. Please see the CDPH Cal-SuWers, CDC NWSS, and CDC Public Health interpretation and Use of Wastewater Surveillance data webpages for more information.

    Historical wastewater data can be found here.

  9. d

    California Universities COVID-19 Community Messages

    • search.dataone.org
    • dataverse.harvard.edu
    • +1more
    Updated Nov 8, 2023
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    Castro Samayoa, Andrés (2023). California Universities COVID-19 Community Messages [Dataset]. http://doi.org/10.7910/DVN/97NYS8
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Castro Samayoa, Andrés
    Description

    This repository contains, 2,723 publicly archived messages from public universities and colleges in California. They include ten Universities of California campuses and 21 California State Universities. Messages were collected from January 2020 - June 2021.

  10. COVID-19 Dashboard

    • catalog.data.gov
    • data.ca.gov
    • +1more
    Updated Aug 23, 2025
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    California Department of Public Health (2025). COVID-19 Dashboard [Dataset]. https://catalog.data.gov/dataset/covid-19-dashboard
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    Dataset updated
    Aug 23, 2025
    Dataset provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    The dashboard is updated each Friday. Laboratory surveillance data: California laboratories report SARS-CoV-2 test results to CDPH through electronic laboratory reporting. Los Angeles County SARS-CoV-2 lab data has a 7-day reporting lag. Test positivity is calculated using SARS-CoV-2 lab tests that has a specimen collection date reported during a given week. Specimens for testing are collected from patients in healthcare settings and do not reflect all testing for COVID-19 in California. Test positivity for a given week is calculated by dividing the number of positive COVID-19 results by the total number of specimens tested for that virus. Weekly laboratory surveillance data are defined as Sunday through Saturday. Hospitalization data: Data on COVID-19 and influenza hospital admissions are from Centers for Disease Control and Prevention’s (CDC) National Healthcare Safety Network (NHSN) Hospitalization dataset. The requirement to report COVID-19-associated hospitalizations was effective November 1, 2024. CDPH pulls NHSN data from the CDC on the Wednesday prior to the publication of the report. Results may differ depending on which day data are pulled. Admission rates are calculated using population estimates from the P-3: Complete State and County Projections Dataset (https://dof.ca.gov/forecasting/demographics/projections/) provided by the State of California Department of Finance. Reported weekly admission rates for the entire season use the population estimates for the year the season started. For more information on NHSN data including the protocol and data collection information, see the CDC NHSN webpage (https://www.cdc.gov/nhsn/index.html). Weekly hospitalization data are defined as Sunday through Saturday. Death certificate data: CDPH receives weekly year-to-date dynamic data on deaths occurring in California from the CDPH Center for Health Statistics and Informatics. These data are limited to deaths occurring among California residents and are analyzed to identify COVID-19-coded deaths. These deaths are not necessarily laboratory-confirmed and are an underestimate of all COVID-19-associated deaths in California. Weekly death data are defined as Sunday through Saturday.

  11. COVID-19 Hospital Data (ARCHIVED)

    • catalog.data.gov
    • data.chhs.ca.gov
    • +3more
    Updated Jul 23, 2025
    + more versions
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    California Department of Public Health (2025). COVID-19 Hospital Data (ARCHIVED) [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-data-21ccf
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset is not being updated as hospitals are no longer mandated to report COVID Hospitalizations to CDPH. Data is from the California COVID-19 State Dashboard at https://covid19.ca.gov/state-dashboard/ Note: Hospitalization counts include all patients diagnosed with COVID-19 during their stay. This does not necessarily mean they were hospitalized because of COVID-19 complications or that they experienced COVID-19 symptoms. Note: Cumulative totals are not available due to the fact that hospitals report the total number of patients each day (as opposed to new patients).

  12. f

    University of California campus COVID-19 dashboards.

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Nov 4, 2021
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    Byington, Carrie L.; Polito, Laura E.; Elton, Kristie L.; Martin, Natasha K.; Eisenman, David P.; Kilpatrick, A. Marm; Souleles, David M.; Pollock, Brad H.; Rutherford, George W.; Boden-Albala, Bernadette M. (2021). University of California campus COVID-19 dashboards. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000877020
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    Dataset updated
    Nov 4, 2021
    Authors
    Byington, Carrie L.; Polito, Laura E.; Elton, Kristie L.; Martin, Natasha K.; Eisenman, David P.; Kilpatrick, A. Marm; Souleles, David M.; Pollock, Brad H.; Rutherford, George W.; Boden-Albala, Bernadette M.
    Description

    University of California campus COVID-19 dashboards.

  13. d

    LA County COVID Cases

    • catalog.data.gov
    • data.lacity.org
    Updated Jul 19, 2025
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    data.lacity.org (2025). LA County COVID Cases [Dataset]. https://catalog.data.gov/dataset/la-county-covid-cases
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    Dataset updated
    Jul 19, 2025
    Dataset provided by
    data.lacity.org
    Area covered
    Los Angeles County
    Description

    COVID cases and deaths for LA County and California State. Updated daily. Data source: Johns Hopkins University (https://coronavirus.jhu.edu/us-map), Johns Hopkins GitHub (https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv). Code available: https://github.com/CityOfLosAngeles/covid19-indicators.

  14. Number of COVID-19 deaths in the United States as of March 10, 2023, by...

    • statista.com
    Updated Mar 28, 2023
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    Statista (2023). Number of COVID-19 deaths in the United States as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1103688/coronavirus-covid19-deaths-us-by-state/
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, there have been 1.1 million deaths related to COVID-19 in the United States. There have been 101,159 deaths in the state of California, more than any other state in the country – California is also the state with the highest number of COVID-19 cases.

    The vaccine rollout in the U.S. Since the start of the pandemic, the world has eagerly awaited the arrival of a safe and effective COVID-19 vaccine. In the United States, the immunization campaign started in mid-December 2020 following the approval of a vaccine jointly developed by Pfizer and BioNTech. As of March 22, 2023, the number of COVID-19 vaccine doses administered in the U.S. had reached roughly 673 million. The states with the highest number of vaccines administered are California, Texas, and New York.

    Vaccines achieved due to work of research groups Chinese authorities initially shared the genetic sequence to the novel coronavirus in January 2020, allowing research groups to start studying how it invades human cells. The surface of the virus is covered with spike proteins, which enable it to bind to human cells. Once attached, the virus can enter the cells and start to make people ill. These spikes were of particular interest to vaccine manufacturers because they hold the key to preventing viral entry.

  15. l

    COVID Southern California

    • visionzero.geohub.lacity.org
    Updated Apr 8, 2020
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    cgst_csungis (2020). COVID Southern California [Dataset]. https://visionzero.geohub.lacity.org/maps/1a4f1a9bd6654904be07cd3e78fc39d6
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    Dataset updated
    Apr 8, 2020
    Dataset authored and provided by
    cgst_csungis
    Area covered
    Description

    COVID-19 cases by community. Data Source: Los Angeles County Department of Public Health

  16. COVID-19 cases by city of residence

    • data.sccgov.org
    • splitgraph.com
    csv, xlsx, xml
    Updated Dec 14, 2024
    + more versions
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    County of Santa Clara Public Health Department (2024). COVID-19 cases by city of residence [Dataset]. https://data.sccgov.org/COVID-19/COVID-19-cases-by-city-of-residence/59wk-iusg
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Dec 14, 2024
    Dataset provided by
    Santa Clara County Public Health Departmenthttps://publichealth.sccgov.org/
    Authors
    County of Santa Clara Public Health Department
    Description

    *** The County of Santa Clara Public Health Department discontinued updates to the COVID-19 data tables effective June 30, 2025. The COVID-19 data tables will be removed from the Open Data Portal on December 30, 2025. For current information on COVID-19 in Santa Clara County, please visit the Respiratory Virus Dashboard [sccphd.org/respiratoryvirusdata]. For any questions, please contact phinternet@phd.sccgov.org ***

    The dataset summarizes counts and rates of cumulative COVID-19 cases by cities in Santa Clara County. Source: California Reportable Disease Information Exchange

    This dataset is updated every Thursday.

  17. COVID-19 Blueprint for a Safer Economy Data Chart (ARCHIVED)

    • healthdata.gov
    • data.chhs.ca.gov
    • +2more
    application/rdfxml +5
    Updated Apr 8, 2025
    + more versions
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    chhs.data.ca.gov (2025). COVID-19 Blueprint for a Safer Economy Data Chart (ARCHIVED) [Dataset]. https://healthdata.gov/State/COVID-19-Blueprint-for-a-Safer-Economy-Data-Chart-/give-3qq7
    Explore at:
    tsv, csv, xml, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    chhs.data.ca.gov
    Description

    Note: Blueprint has been retired as of June 15, 2021. This dataset will be kept up for historical purposes, but will no longer be updated.

    California has a new blueprint for reducing COVID-19 in the state with revised criteria for loosening and tightening restrictions on activities. Every county in California is assigned to a tier based on its test positivity and adjusted case rate for tier assignment. Additionally, a new health equity metric took effect on October 6, 2020. In order to advance to the next less restrictive tier, each county will need to meet an equity metric or demonstrate targeted investments to eliminate disparities in levels of COVID-19 transmission, depending on its size. The California Health Equity Metric is designed to help guide counties in their continuing efforts to reduce COVID-19 cases in all communities and requires more intensive efforts to prevent and mitigate the spread of COVID-19 among Californians who have been disproportionately impacted by this pandemic.

    Please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/COVID19CountyMonitoringOverview.aspx for more information.

    Also, in lieu of a Data Dictionary, please refer to the detailed explanation of the data columns in Appendix 1 of the above webpage.

    Because this data is in machine-readable format, the merged headers at the top of the source spreadsheet have not been included:

    • The first 8 columns are under the header "County Status as of Tier Assignment"

    • The next 3 columns are under the header "Current Data Week Tier and Metric Tiers for Data Week"

    • The next 4 columns are under the header "Case Rate Adjustment Factors"

    • The next column is under the header "Small County Considerations"

    • The last 5 columns are under the header "Health Equity Framework Parameters"

  18. U

    United States COVID-19: No. of Deaths: To Date: California

    • ceicdata.com
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    CEICdata.com, United States COVID-19: No. of Deaths: To Date: California [Dataset]. https://www.ceicdata.com/en/united-states/center-for-disease-control-and-prevention-coronavirus-disease-2019-covid2019/covid19-no-of-deaths-to-date-california
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    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 22, 2024 - Nov 2, 2024
    Area covered
    United States
    Description

    United States COVID-19: No. of Deaths: To Date: California data was reported at 109,763.000 Person in 02 Nov 2024. This stayed constant from the previous number of 109,763.000 Person for 01 Nov 2024. United States COVID-19: No. of Deaths: To Date: California data is updated daily, averaging 92,322.000 Person from Feb 2020 (Median) to 02 Nov 2024, with 1732 observations. The data reached an all-time high of 109,763.000 Person in 02 Nov 2024 and a record low of 1.000 Person in 16 Feb 2020. United States COVID-19: No. of Deaths: To Date: California data remains active status in CEIC and is reported by California Department of Public Health. The data is categorized under High Frequency Database’s Disease Outbreaks – Table US.D001: Center for Disease Control and Prevention: Coronavirus Disease 2019 (COVID-2019). Data for March 30 was carried over from March 29 as the California Department of Public Health did not release a report for that date

  19. D

    [Archived] COVID-19 Deaths by Population Characteristics Over Time

    • data.sfgov.org
    • catalog.data.gov
    csv, xlsx, xml
    Updated Jun 27, 2024
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    (2024). [Archived] COVID-19 Deaths by Population Characteristics Over Time [Dataset]. https://data.sfgov.org/Health-and-Social-Services/-Archived-COVID-19-Deaths-by-Population-Characteri/kkr3-wq7h
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Jun 27, 2024
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    As of July 2nd, 2024 the COVID-19 Deaths by Population Characteristics Over Time dataset has been retired. This dataset is archived and will no longer update. We will be publishing a cumulative deaths by population characteristics dataset that will update moving forward.

    A. SUMMARY This dataset shows San Francisco COVID-19 deaths by population characteristics and by date. This data may not be immediately available for recently reported deaths. Data updates as more information becomes available. Because of this, death totals for previous days may increase or decrease. More recent data is less reliable.

    Population characteristics are subgroups, or demographic cross-sections, like age, race, or gender. The City tracks how deaths have been distributed among different subgroups. This information can reveal trends and disparities among groups.

    B. HOW THE DATASET IS CREATED As of January 1, 2023, COVID-19 deaths are defined as persons who had COVID-19 listed as a cause of death or a significant condition contributing to their death on their death certificate. This definition is in alignment with the California Department of Public Health and the national https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf">Council of State and Territorial Epidemiologists. Death certificates are maintained by the California Department of Public Health.

    Data on the population characteristics of COVID-19 deaths are from: *Case reports *Medical records *Electronic lab reports *Death certificates

    Data are continually updated to maximize completeness of information and reporting on San Francisco COVID-19 deaths.

    To protect resident privacy, we summarize COVID-19 data by only one characteristic at a time. Data are not shown until cumulative citywide deaths reach five or more.

    Data notes on each population characteristic type is listed below.

    Race/ethnicity * We include all race/ethnicity categories that are collected for COVID-19 cases.

    Gender * The City collects information on gender identity using these guidelines.

    C. UPDATE PROCESS Updates automatically at 06:30 and 07:30 AM Pacific Time on Wednesday each week.

    Dataset will not update on the business day following any federal holiday.

    D. HOW TO USE THIS DATASET Population estimates are only available for age groups and race/ethnicity categories. San Francisco population estimates for race/ethnicity and age groups can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).

    This dataset includes many different types of characteristics. Filter the “Characteristic Type” column to explore a topic area. Then, the “Characteristic Group” column shows each group or category within that topic area and the number of deaths on each date.

    New deaths are the count of deaths within that characteristic group on that specific date. Cumulative deaths are the running total of all San Francisco COVID-19 deaths in that characteristic group up to the date listed.

    This data may not be immediately available for more recent deaths. Data updates as more information becomes available.

    To explore data on the total number of deaths, use the COVID-19 Deaths Over Time dataset.

    E. CHANGE LOG

    • 9/11/2023 - on this date, we began using an updated definition of a COVID-19 death to align with the California Department of Public Health. This change was applied to COVID-19 deaths retrospectively beginning on 1/1/2023. More information about the recommendation by the Council of State and Territorial Epidemiologists that motivated this change can be found https://preparedness.cste.org/wp-content/uploads/2022/12/CSTE-Revised-Classification-of-COVID-19-associated-Deaths.Final_.11.22.22.pdf">here.
    • 6/6/2023 - data on deaths by transmission type have been removed. See section ARCHIVED DATA for more detail.
    • 5/16/2023 - data on deaths by sexual orientation, comorbidities, homelessness, and single room occupancy have been removed. See section ARCHIVED DATA for more detail.
    • 4/6/2023 - the State implemented system updates to improve the integrity of historical data.
    • 1/31/2023 - column “population_estimate” added.
    • 3/23/2022 - ‘Native American’ changed to ‘American Indian or Alaska Native’ to align with the census.
    • 1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.

  20. COVID-19 Probable Cases (ARCHIVED)

    • catalog.data.gov
    • data.chhs.ca.gov
    • +3more
    Updated Jul 23, 2025
    + more versions
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    California Department of Public Health (2025). COVID-19 Probable Cases (ARCHIVED) [Dataset]. https://catalog.data.gov/dataset/covid-19-probable-cases-archived-bceb1
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    Dataset updated
    Jul 23, 2025
    Dataset provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This dataset is no longer being updated due to the end of the COVID-19 Public Health Emergency. Note: On 2/16/22, 17,467 cases based on at-home positive test results were excluded from the probable case counts. Per national case classification guidelines, cases based on at-home positive results are now classified as “suspect” cases. The majority of these cases were identified between November 2021 and February 2022. CDPH tracks both probable and confirmed cases of COVID-19 to better understand how the virus is impacting our communities. Probable cases are defined as individuals with a positive antigen test that detects the presence of viral antigens. Antigen testing is useful when rapid results are needed, or in settings where laboratory resources may be limited. Confirmed cases are defined as individuals with a positive molecular test, which tests for viral genetic material, such as a PCR or polymerase chain reaction test. Results from both types of tests are reported to CDPH. Due to the expanded use of antigen testing, surveillance of probable cases is increasingly important. The proportion of probable cases among the total cases in California has increased. To provide a more complete picture of trends in case volume, it is now more important to provide probable case data in addition to confirmed case data. The Centers for Disease Control and Prevention (CDC) has begun publishing probable case data for states. Testing data is updated weekly. Due to small numbers, the percentage of probable cases in the first two weeks of the month may change. Probable case data from San Diego County is not included in the statewide table at this time. For more information, please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/Probable-Cases.aspx

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California Department of Public Health (2025). COVID-19 Outbreak Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-outbreak-data
Organization logo

COVID-19 Outbreak Data (ARCHIVED)

Explore at:
csv(62919), csv(326192), zipAvailable download formats
Dataset updated
Aug 5, 2025
Dataset authored and provided by
California Department of Public Healthhttps://www.cdph.ca.gov/
Description

Note: This dataset is no longer being updated as of June 2, 2025.

This dataset contains numbers of COVID-19 outbreaks and associated cases, categorized by setting, reported to CDPH since January 1, 2021.

AB 685 (Chapter 84, Statutes of 2020) and the Cal/OSHA COVID-19 Emergency Temporary Standards (Title 8, Subchapter 7, Sections 3205-3205.4) required non-healthcare employers in California to report workplace COVID-19 outbreaks to their local health department (LHD) between January 1, 2021 – December 31, 2022. Beginning January 1, 2023, non-healthcare employer reporting of COVID-19 outbreaks to local health departments is voluntary, unless a local order is in place. More recent data collected without mandated reporting may therefore be less representative of all outbreaks that have occurred, compared to earlier data collected during mandated reporting. Licensed health facilities continue to be mandated to report outbreaks to LHDs.

LHDs report confirmed outbreaks to the California Department of Public Health (CDPH) via the California Reportable Disease Information Exchange (CalREDIE), the California Connected (CalCONNECT) system, or other established processes. Data are compiled and categorized by setting by CDPH. Settings are categorized by U.S. Census industry codes. Total outbreaks and cases are included for individual industries as well as for broader industrial sectors.

The first dataset includes numbers of outbreaks in each setting by month of onset, for outbreaks reported to CDPH since January 1, 2021. This dataset includes some outbreaks with onset prior to January 1 that were reported to CDPH after January 1; these outbreaks are denoted with month of onset “Before Jan 2021.” The second dataset includes cumulative numbers of COVID-19 outbreaks with onset after January 1, 2021, categorized by setting. Due to reporting delays, the reported numbers may not reflect all outbreaks that have occurred as of the reporting date; additional outbreaks may have occurred that have not yet been reported to CDPH.

While many of these settings are workplaces, cases may have occurred among workers, other community members who visited the setting, or both. Accordingly, these data do not distinguish between outbreaks involving only workers, outbreaks involving only residents or patrons, or outbreaks involving both.

Several additional data limitations should be kept in mind:

  • Outbreaks are classified as “Insufficient information” for outbreaks where not enough information was available for CDPH to assign an industry code.

  • Some sectors, particularly congregate residential settings, may have increased testing and therefore increased likelihood of outbreak recognition and reporting. As a result, in congregate residential settings, the number of outbreak-associated cases may be more accurate.

  • However, in most settings, outbreak and case counts are likely underestimates. For most cases, it is not possible to identify the source of exposure, as many cases have multiple possible exposures.

  • Because some settings have been at times been closed or open with capacity restrictions, numbers of outbreak reports in those settings do not reflect COVID-19 transmission risk.

  • The number of outbreaks in different settings will depend on the number of different workplaces in each setting. More outbreaks would be expected in settings with many workplaces compared to settings with few workplaces.

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