100+ datasets found
  1. Rate of COVID-19 hospitalizations in the U.S. as of June 10, 2023, by...

    • statista.com
    Updated May 15, 2024
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    Statista (2024). Rate of COVID-19 hospitalizations in the U.S. as of June 10, 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1127489/covid-19-us-hospital-rate-by-ethnicity/
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    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Jun 10, 2023
    Area covered
    United States
    Description

    As of June 10, 2023, the cumulative hospitalization rate in the United States due to COVID-19 was lowest for Non-Hispanic Asian or Pacific Islanders and highest among Non-Hispanic American Indian or Alaska Natives. This statistic shows the cumulative rate of laboratory-confirmed COVID-19-associated hospitalizations in the U.S. as of June 10, 2023, by race and ethnicity.

  2. Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED

    • healthdata.gov
    • data.cdc.gov
    application/rdfxml +5
    Updated May 26, 2023
    + more versions
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    data.cdc.gov (2023). Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED [Dataset]. https://healthdata.gov/dataset/Weekly-United-States-COVID-19-Hospitalization-Metr/9cb5-9udy
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    json, tsv, application/rdfxml, csv, xml, application/rssxmlAvailable download formats
    Dataset updated
    May 26, 2023
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    Note: May 3,2024: Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

    This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information:

    • As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
    • While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
    • Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
    • Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
    • Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf
    Calculation of county-level hospital metrics:
    • County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level.
    • Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hosp

  3. Rate of COVID-19 hospitalizations in the U.S. as of September 26, 2020, by...

    • statista.com
    Updated Jul 27, 2022
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    Statista (2022). Rate of COVID-19 hospitalizations in the U.S. as of September 26, 2020, by age group [Dataset]. https://www.statista.com/statistics/1122354/covid-19-us-hospital-rate-by-age/
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    Dataset updated
    Jul 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Sep 26, 2020
    Area covered
    United States
    Description

    As of September 26, the hospitalization rate in the United States due to COVID-19 was highest for those aged 85 years and older. This statistic shows the cumulative rate of laboratory-confirmed COVID-19-associated hospitalizations in the U.S. as of September 26, 2020, by age group.

  4. COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates -...

    • healthdata.gov
    • data.cityofchicago.org
    • +1more
    application/rdfxml +5
    Updated Apr 8, 2025
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    data.cityofchicago.org (2025). COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates - Historical [Dataset]. https://healthdata.gov/dataset/COVID-19-Daily-Rolling-Average-Case-Death-and-Hosp/sd6k-dtx6
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    csv, tsv, xml, json, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    data.cityofchicago.org
    Description

    NOTE: This dataset has been retired and marked as historical-only.

    This dataset is a companion to the COVID-19 Daily Cases and Deaths dataset (https://data.cityofchicago.org/d/naz8-j4nc). The major difference in this dataset is that the case, death, and hospitalization corresponding rates per 100,000 population are not those for the single date indicated. They are rolling averages for the seven-day period ending on that date. This rolling average is used to account for fluctuations that may occur in the data, such as fewer cases being reported on weekends, and small numbers. The intent is to give a more representative view of the ongoing COVID-19 experience, less affected by what is essentially noise in the data.

    All rates are per 100,000 population in the indicated group, or Chicago, as a whole, for “Total” columns.

    Only Chicago residents are included based on the home address as provided by the medical provider.

    Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted based on the date the test specimen was collected. Deaths among cases are aggregated by day of death. Hospitalizations are reported by date of first hospital admission. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation.

    Denominators are from the U.S. Census Bureau American Community Survey 1-year estimate for 2018 and can be seen in the Citywide, 2018 row of the Chicago Population Counts dataset (https://data.cityofchicago.org/d/85cm-7uqa).

    All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects cases and deaths currently known to CDPH.

    Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases and deaths, sources used, how cases and deaths are associated to a specific date, and similar factors.

    Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office, U.S. Census Bureau American Community Survey

  5. Share of U.S. COVID-19 cases resulting in hospitalization from...

    • statista.com
    Updated Jul 27, 2022
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    Statista (2022). Share of U.S. COVID-19 cases resulting in hospitalization from Feb.12-Mar.16, by age [Dataset]. https://www.statista.com/statistics/1105402/covid-hospitalization-rates-us-by-age-group/
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    Dataset updated
    Jul 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 12, 2020 - Mar 16, 2020
    Area covered
    United States
    Description

    In the United States between February 12 and March 16, 2020, the percentage of COVID-19 patients hospitalized with the disease increased with age. Findings estimated that up to 70 percent of adults aged 85 years and older were hospitalized.

    Who is at higher risk from COVID-19? The same study also found that coronavirus patients aged 85 and older were at the highest risk of death. There are other risk factors besides age that can lead to serious illness. People with pre-existing medical conditions, such as diabetes, heart disease, and lung disease, can develop more severe symptoms. In the U.S. between January and May 2020, case fatality rates among confirmed COVID-19 patients were higher for those with underlying health conditions.

    How long should you self-isolate? As of August 24, 2020, more than 16 million people worldwide had recovered from COVID-19 disease, which includes patients in health care settings and those isolating at home. The criteria for discharging patients from isolation varies by country, but asymptomatic carriers of the virus can generally be released ten days after their positive case was confirmed. For patients showing signs of the illness, they must isolate for at least ten days after symptom onset and also remain in isolation for a short period after the symptoms have disappeared.

  6. Weekly United States COVID-19 Hospitalization Metrics by County (Historical)...

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Jun 16, 2023
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    data.cdc.gov (2023). Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED [Dataset]. https://healthdata.gov/dataset/Weekly-United-States-COVID-19-Hospitalization-Metr/n48a-vb2r/data
    Explore at:
    csv, xml, tsv, application/rdfxml, application/rssxml, jsonAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    data.cdc.gov
    Area covered
    United States
    Description

    Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    Note: May 3,2024: Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

    This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States as of the initial date of reporting for each weekly metric. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information:

    • As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
    • While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
    • Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
    • Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
    • Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf
    Calculation of county-level hospital metrics:
    • County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level.
    • Data presented at the county-level represent admissions, hosp

  7. Monthly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the...

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Jul 11, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Monthly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System [Dataset]. https://catalog.data.gov/dataset/monthly-rates-of-laboratory-confirmed-covid-19-hospitalizations-from-the-covid-net-surveil
    Explore at:
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area. Data are preliminary and subject to change as more data become available. Data will be updated weekly.

  8. COVID-19 hospitalization rates in the U.S. from March 1 to 28, 2020, by age...

    • statista.com
    Updated Apr 20, 2020
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    Statista (2020). COVID-19 hospitalization rates in the U.S. from March 1 to 28, 2020, by age group [Dataset]. https://www.statista.com/statistics/1111368/covid-hospitalization-rates-age-us/
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    Dataset updated
    Apr 20, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Mar 28, 2020
    Area covered
    United States
    Description

    The COVID-19–associated hospitalization rate among patients aged 85 years and older identified through COVID-NET for the 4-week period ending March 28, 2020, was 17.2 per 100,000 population. This statistic shows laboratory-confirmed COVID-19 associated hospitalization rates per 100,000 population from March 1 to 28, in the 14 U.S. states under surveillance by COVID-NET.

  9. d

    COVID-19 Daily Counts of Cases, Hospitalizations, and Deaths

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Jul 12, 2025
    + more versions
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    data.cityofnewyork.us (2025). COVID-19 Daily Counts of Cases, Hospitalizations, and Deaths [Dataset]. https://catalog.data.gov/dataset/covid-19-daily-counts-of-cases-hospitalizations-and-deaths
    Explore at:
    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.cityofnewyork.us
    Description

    Daily count of NYC residents who tested positive for SARS-CoV-2, who were hospitalized with COVID-19, and deaths among COVID-19 patients. Note that this dataset currently pulls from https://raw.githubusercontent.com/nychealth/coronavirus-data/master/trends/data-by-day.csv on a daily basis.

  10. COVID-19 Hospital Data Coverage Report

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Dec 15, 2020
    + more versions
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    U.S. Department of Health & Human Services (2020). COVID-19 Hospital Data Coverage Report [Dataset]. https://healthdata.gov/Hospital/COVID-19-Hospital-Data-Coverage-Report/v4wn-auj8
    Explore at:
    xml, csv, tsv, application/rssxml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Dec 15, 2020
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    This report shows data completeness information on data submitted by hospitals for the previous week, from Friday to Thursday. The U.S. Department of Health and Human Services requires all hospitals licensed to provide 24-hour care to report certain data necessary to the all-of-America COVID-19 response. The report includes the following information for each hospital:

    • The percentage of mandatory fields reported.
    • The number of days in the preceding week where 100% of the fields were completed.
    • Whether a hospital is required to report on Wednesdays only.
    • A cell for each required field with the number of days that specific field was reported for the week.
    Hospitals are key partners in the Federal response to COVID-19, and this report is published to increase transparency into the type and amount of data being successfully reported to the U.S. Government.
  11. 9/12/2021 - Added a Summary page and broke out the attached Excel, tabbed spreadsheet into its own reports. You can access the Summary page with this link: https://healthdata.gov/stories/s/ws49-ddj5
  12. 6/17/2023 - With the new 28-day compliance reporting period, CoP reports will be posted every 4 weeks.

  13. Source: HHS Protect, U.S. Department of Health & Human Services

  • M

    Rates of COVID-19 - Associated Hospitalizations

    • catalog.midasnetwork.us
    csv
    Updated Jul 7, 2023
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    MIDAS Coordination Center (2023). Rates of COVID-19 - Associated Hospitalizations [Dataset]. https://catalog.midasnetwork.us/collection/162
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    csvAvailable download formats
    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Variables measured
    disease, COVID-19, pathogen, case counts, Homo sapiens, host organism, age-stratified, infectious disease, hospital stay dataset, population demographic census, and 1 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    Data gathered by the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET) are used to estimate age-specific hospitalization rates per 100,000 population of laboratory confirmed COVID-19 hospitalizations on a weekly basis and describe characteristics of persons hospitalized with COVID-19. Laboratory confirmation is dependent on clinician-ordered SARS-CoV-2 testing.

  • D

    Rates of Laboratory-Confirmed COVID-19 Hospitalizations by Vaccination...

    • data.cdc.gov
    application/rdfxml +5
    Updated May 9, 2023
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    COVID-NET (2023). Rates of Laboratory-Confirmed COVID-19 Hospitalizations by Vaccination Status from the COVID-NET Surveillance System [Dataset]. https://data.cdc.gov/Case-Surveillance/Rates-of-Laboratory-Confirmed-COVID-19-Hospitaliza/k3na-u7xf
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    json, xml, csv, application/rssxml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    May 9, 2023
    Dataset authored and provided by
    COVID-NET
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    COVID-NET is a population-based surveillance system that collects data on laboratory-confirmed COVID-19-associated hospitalizations among children and adults through a network of over 250 acute-care hospitals in 14 states. Additional data on vaccination status for individual cases are collected and available from COVID-NET catchment areas in 13 of the 14 states.

    COVID-NET hospitalizations data are preliminary and subject to change as more data become available. Data will be updated weekly.

    For more information about COVID-NET, please see https://www.cdc.gov/coronavirus/2019-ncov/covid-data/covid-net/purpose-methods.html.

  • COVID-19 Reported Patient Impact and Hospital Capacity by Facility

    • healthdata.gov
    • data.ct.gov
    • +5more
    Updated May 3, 2024
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by Facility [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u
    Explore at:
    tsv, application/rssxml, csv, xml, application/rdfxml, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

    The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

    For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020.

    Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

    • A “_coverage” append denotes how many times the facility reported that element during that collection week.
    • A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.
    • A “_avg” append is the average of the reports provided for that facility for that element during that collection week.

    The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

    A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv

    This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.

    Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.

    For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.

    For recent updates to the dataset, scroll to the bottom of the dataset description.

    On May 3, 2021, the following fields have been added to this data set.

    • hhs_ids
    • previous_day_admission_adult_covid_confirmed_7_day_coverage
    • previous_day_admission_pediatric_covid_confirmed_7_day_coverage
    • previous_day_admission_adult_covid_suspected_7_day_coverage
    • previous_day_admission_pediatric_covid_suspected_7_day_coverage
    • previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum
    • total_personnel_covid_vaccinated_doses_none_7_day_sum
    • total_personnel_covid_vaccinated_doses_one_7_day_sum
    • total_personnel_covid_vaccinated_doses_all_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_one_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_all_7_day_sum

    On May 8, 2021, this data set has been converted to a corrected data set. The corrections applied to this data set are to smooth out data anomalies caused by keyed in data errors. To help determine which records have had corrections made to it. An additional Boolean field called is_corrected has been added.

    On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number reported for that metric in a given week.

    On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday reported only. This reflects that the number reported for that metric is only reported on Wednesdays in a given week.

    On September 20, 2021, the following has been updated: The use of analytic dataset as a source.

    On January 19, 2022, the following fields have been added to this dataset:

    • inpatient_beds_used_covid_7_day_avg
    • inpatient_beds_used_covid_7_day_sum
    • inpatient_beds_used_covid_7_day_coverage

    On April 28, 2022, the following pediatric fields have been added to this dataset:

    • all_pediatric_inpatient_bed_occupied_7_day_avg
    • all_pediatric_inpatient_bed_occupied_7_day_coverage
    • all_pediatric_inpatient_bed_occupied_7_day_sum
    • all_pediatric_inpatient_beds_7_day_avg
    • all_pediatric_inpatient_beds_7_day_coverage
    • all_pediatric_inpatient_beds_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_0_4_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_12_17_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_5_11_7_day_sum
    • previous_day_admission_pediatric_covid_confirmed_unknown_7_day_sum
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_avg
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_coverage
    • staffed_icu_pediatric_patients_confirmed_covid_7_day_sum
    • staffed_pediatric_icu_bed_occupancy_7_day_avg
    • staffed_pediatric_icu_bed_occupancy_7_day_coverage
    • staffed_pediatric_icu_bed_occupancy_7_day_sum
    • total_staffed_pediatric_icu_beds_7_day_avg
    • total_staffed_pediatric_icu_beds_7_day_coverage
    • total_staffed_pediatric_icu_beds_7_day_sum

    On October 24, 2022, the data includes more analytical calculations in efforts to provide a cleaner dataset. For a raw version of this dataset, please follow this link: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb

    Due to changes in reporting requirements, after June 19, 2023, a collection week is defined as starting on a Sunday and ending on the next Saturday.

  • Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Jun 19, 2025
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    Centers for Disease Control and Prevention (2025). Weekly Rates of Laboratory-Confirmed COVID-19 Hospitalizations from the COVID-NET Surveillance System [Dataset]. https://data.virginia.gov/dataset/weekly-rates-of-laboratory-confirmed-covid-19-hospitalizations-from-the-covid-net-surveillance-
    Explore at:
    xsl, json, rdf, csvAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The Coronavirus Disease 2019 (COVID-19) Hospitalization Surveillance Network (COVID-NET) a network that conducts active, population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations among children and adults. COVID-NET, along with the Respiratory Syncytial Virus Hospitalization Surveillance Network (RSV-NET) and the Influenza Hospitalization Surveillance Network (FluSurv-NET), comprise the Respiratory Virus Hospitalization Surveillance Network (RESP-NET). The RESP-NET platforms have overlapping surveillance areas and use similar methods to collect data. COVID-NET is CDC’s source for important data on rates of hospitalizations associated with COVID-19. Hospitalization rates show how many people in the surveillance area are hospitalized with COVID-19, compared to the total number of people residing in that area.

    Data are preliminary and subject to change as more data become available. Data will be updated weekly.

  • Centers for Disease Control and Prevention, Division of Healthcare Quality...

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated Jul 13, 2025
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    Centers for Disease Control and Prevention, Division of Healthcare Quality Promotion, National Healthcare Safety Network, Weekly United States COVID-19 Hospitalization Metrics - Ramsey County [Dataset]. https://opendata.ramseycounty.us/Public-Health/Centers-for-Disease-Control-and-Prevention-Divisio/5mvu-4mt4
    Explore at:
    json, csv, application/rssxml, tsv, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jul 13, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

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

    Area covered
    Ramsey County, United States
    Description

    Note: This dataset has been limited to show metrics for Ramsey County, Minnesota.

    This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information: As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations. Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

    Calculation of county-level hospital metrics: County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hospitals within the selected HSA. Therefore, admissions, capacity, and occupancy are not limited to residents of the selected HSA. For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA. For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.

    Metric details: Time period: data for the previous MMWR week (Sunday-Saturday) will update weekly on Thursdays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections. New hospital admissions (count): Total number of admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction New Hospital Admissions Rate Value (Admissions per 100k): Total number of new admissions of patients with laboratory-confirmed COVID-19 in the past week (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000. (Note: This metric is used to determine each county’s COVID-19 Hospital Admissions Level for a given week). New COVID-19 Hospital Admissions Rate Level: qualitative value of new COVID-19 hospital admissions rate level [Low, Medium, High, Insufficient Data] New hospital admissions percent change from prior week: Percent change in the current weekly total new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week. New hospital admissions percent change from prior week level: Qualitative value of percent change in hospital admissions rate from prior week [Substantial decrease, Moderate decrease, Stable, Moderate increase, Substantial increase, Insufficient data] COVID-19 Inpatient Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the in the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (patients hospitalized with confirmed COVID-19) and denominators (staffed inpatient beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction. COVID-19 Inpatient Bed Occupancy Level: Qualitative value of inpatient beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data] COVID-19 Inpatient Bed Occupancy percent change from prior week: The absolute change in the percent of staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past week, compared with the prior week, in the entire jurisdiction. COVID-19 ICU Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (adult patients hospitalized with confirmed COVID-19) and denominators (staffed adult ICU beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction. COVID-19 ICU Bed Occupancy Level: Qualitative value of ICU beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data] COVID-19 ICU Bed Occupancy percent change from prior week: The absolute change in the percent of staffed ICU beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed adult ICU beds for the past week, compared with the prior week, in the in the entire jurisdiction. For all metrics, if there are no data in the specified locality for a given week, the metric value is displayed as “insufficient data”.

  • COVID-NET Hospitalization Rates

    • kaggle.com
    Updated Apr 10, 2020
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    Karl Weinmeister (2020). COVID-NET Hospitalization Rates [Dataset]. https://www.kaggle.com/kweinmeister/covidnet-hospitalization-rates/kernels
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 10, 2020
    Dataset provided by
    Kaggle
    Authors
    Karl Weinmeister
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Content

    The Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET) data are preliminary and subject to change as more data become available. COVID-NET conducts population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations in children (less than 18 years of age) and adults.

    COVID-NET covers nearly 100 counties in the 10 Emerging Infections Program (EIP) states (CA, CO, CT, GA, MD, MN, NM, NY, OR, TN) and four Influenza Hospitalization Surveillance Project (IHSP) states (IA, MI, OH, and UT).

    Incidence rates (per 100,000 population) are calculated using the National Center for Health Statistics' (NCHS) vintage 2018 bridged-race postcensal population estimates for the counties included in the surveillance catchment area. The rates provided are likely to be underestimated as COVID-19 hospitalizations might be missed due to test availability and provider or facility testing practices.

    Acknowledgements

    COVID-NET: COVID-19-Associated Hospitalization Surveillance Network, Centers for Disease Control and Prevention. WEBSITE. Accessed on 04/09/2020.

  • COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries...

    • healthdata.gov
    • datahub.hhs.gov
    • +2more
    Updated May 3, 2024
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by State Timeseries (RAW) [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/g62h-syeh
    Explore at:
    csv, application/rssxml, application/rdfxml, tsv, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides state-aggregated data for hospital utilization in a timeseries format dating back to January 1, 2020. These are derived from reports with facility-level granularity across three main sources: (1) HHS TeleTracking, (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities and (3) National Healthcare Safety Network (before July 15).

    The file will be updated regularly and provides the latest values reported by each facility within the last four days for all time. This allows for a more comprehensive picture of the hospital utilization within a state by ensuring a hospital is represented, even if they miss a single day of reporting.

    No statistical analysis is applied to account for non-response and/or to account for missing data.

    The below table displays one value for each field (i.e., column). Sometimes, reports for a given facility will be provided to more than one reporting source: HHS TeleTracking, NHSN, and HHS Protect. When this occurs, to ensure that there are not duplicate reports, prioritization is applied to the numbers for each facility.

    On April 27, 2022 the following pediatric fields were added:

  • all_pediatric_inpatient_bed_occupied
  • all_pediatric_inpatient_bed_occupied_coverage
  • all_pediatric_inpatient_beds
  • all_pediatric_inpatient_beds_coverage
  • previous_day_admission_pediatric_covid_confirmed_0_4
  • previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  • previous_day_admission_pediatric_covid_confirmed_12_17
  • previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  • previous_day_admission_pediatric_covid_confirmed_5_11
  • previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  • previous_day_admission_pediatric_covid_confirmed_unknown
  • previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  • staffed_icu_pediatric_patients_confirmed_covid
  • staffed_icu_pediatric_patients_confirmed_covid_coverage
  • staffed_pediatric_icu_bed_occupancy
  • staffed_pediatric_icu_bed_occupancy_coverage
  • total_staffed_pediatric_icu_beds
  • total_staffed_pediatric_icu_beds_coverage

    On January 19, 2022, the following fields have been added to this dataset:
  • inpatient_beds_used_covid
  • inpatient_beds_used_covid_coverage

    On September 17, 2021, this data set has had the following fields added:
  • icu_patients_confirmed_influenza,
  • icu_patients_confirmed_influenza_coverage,
  • previous_day_admission_influenza_confirmed,
  • previous_day_admission_influenza_confirmed_coverage,
  • previous_day_deaths_covid_and_influenza,
  • previous_day_deaths_covid_and_influenza_coverage,
  • previous_day_deaths_influenza,
  • previous_day_deaths_influenza_coverage,
  • total_patients_hospitalized_confirmed_influenza,
  • total_patients_hospitalized_confirmed_influenza_and_covid,
  • total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  • total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  • on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  • on_hand_supply_therapeutic_b_bamlanivimab_courses,
  • on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  • previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  • previous_week_therapeutic_b_bamlanivimab_courses_used,
  • previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

    On June 30, 2021, this data set has had the following fields added:
  • deaths_covid
  • deaths_covid_coverage

    On April 30, 2021, this data set has had the following fields added:
  • previous_day_admission_adult_covid_confirmed_18-19
  • previous_day_admission_adult_covid_confirmed_18-19_coverage
  • previous_day_admission_adult_covid_confirmed_20-29_coverage
  • previous_day_admission_adult_covid_confirmed_30-39
  • previous_day_admission_adult_covid_confirmed_30-39_coverage
  • previous_day_admission_adult_covid_confirmed_40-49
  • previous_day_admission_adult_covid_confirmed_40-49_coverage
  • previous_day_admission_adult_covid_confirmed_40-49_coverage
  • previous_day_admission_adult_covid_confirmed_50-59
  • previous_day_admission_adult_covid_confirmed_50-59_coverage
  • previous_day_admission_adult_covid_confirmed_60-69
  • previous_day_admission_adult_covid_confirmed_60-69_coverage
  • previous_day_admission_adult_covid_confirmed_70-79
  • previous_day_admission_adult_covid_confirmed_70-79_coverage
  • previous_day_admission_adult_covid_confirmed_80+
  • previous_day_admission_adult_covid_confirmed_80+_coverage
  • previous_day_admission_adult_covid_confirmed_unknown
  • previous_day_admission_adult_covid_confirmed_unknown_coverage
  • previous_day_admission_adult_covid_suspected_18-19
  • previous_day_admission_adult_covid_suspected_18-19_coverage
  • previous_day_admission_adult_covid_suspected_20-29
  • previous_day_admission_adult_covid_suspected_20-29_coverage
  • previous_day_admission_adult_covid_suspected_30-39
  • previous_day_admission_adult_covid_suspected_30-39_coverage
  • previous_day_admission_adult_covid_suspected_40-49
  • previous_day_admission_adult_covid_suspected_40-49_coverage
  • previous_day_admission_adult_covid_suspected_50-59
  • previous_day_admission_adult_covid_suspected_50-59_coverage
  • previous_day_admission_adult_covid_suspected_60-69
  • previous_day_admission_adult_covid_suspected_60-69_coverage
  • previous_day_admission_adult_covid_suspected_70-79
  • previous_day_admission_adult_covid_suspected_70-79_coverage
  • previous_day_admission_adult_covid_suspected_80+
  • previous_day_admission_adult_covid_suspected_80+_coverage
  • previous_day_admission_adult_covid_suspected_unknown
  • previous_day_admission_adult_covid_suspected_unknown_coverage

  • Share of U.S. COVID-19 hospitalizations with underlying conditions in March...

    • statista.com
    Updated Apr 21, 2020
    + more versions
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    Statista (2020). Share of U.S. COVID-19 hospitalizations with underlying conditions in March 2020 [Dataset]. https://www.statista.com/statistics/1111428/covid-hospitalization-underlying-conditions-us/
    Explore at:
    Dataset updated
    Apr 21, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Mar 30, 2020
    Area covered
    United States
    Description

    Most of the hospitalized patients identified through COVID-NET between March 1 and 30 had underlying conditions, with almost 50 percent of such patients reportedly having hypertension. This statistic shows underlying conditions among adults aged ≥18 years with COVID-19–associated hospitalizations from March 1 to 30, in the fourteen U.S. states under surveillance by COVID-NET.

  • Medicare COVID-19 Hospitalization Trends

    • data.virginia.gov
    • catalog.data.gov
    csv, html
    Updated Jan 29, 2024
    + more versions
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    Centers for Medicare & Medicaid Services (2024). Medicare COVID-19 Hospitalization Trends [Dataset]. https://data.virginia.gov/dataset/medicare-covid-19-hospitalization-trends
    Explore at:
    csv, htmlAvailable download formats
    Dataset updated
    Jan 29, 2024
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Medicare COVID-19 Hospitalization Trends dataset contains aggregate information from Medicare Fee-for-Service claims, Medicare Advantage encounter, and Medicare enrollment data. It provides insight around the groups of beneficiaries that were hospitalized at different points during the pandemic.

    CMS publicly released the first Preliminary Medicare COVID-19 Snapshot in June 2020 during the early stages of the Public Health Emergency for COVID-19. That report focused on COVID-19 cases and hospitalizations data for Medicare beneficiaries with a COVID-19 diagnosis. Throughout 2020 and 2021, that report was subsequently updated with refreshed data 13 times. Beginning in October 2021, CMS shifted its public COVID-19 reporting away from cumulative case and hospitalization rates to hospitalization trends over time with the release of this report, the Medicare COVID-19 Hospitalization Trends Report.

    All prior releases of both the Preliminary Medicare COVID-19 Snapshot and the Medicare COVID-19 Hospitalization Trends Report are available for download in the Medicare COVID-19 Data - Prior Releases file.

  • A

    ‘COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates’...

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-covid-19-daily-rolling-average-case-death-and-hospitalization-rates-4f9c/e00a61e3/
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘COVID-19 Daily Rolling Average Case, Death, and Hospitalization Rates’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/7acadb5f-3204-4ca3-8e83-2741d562f100 on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    This is the place to look for important information about how to use this dataset, so please expand this box and read on!

    This is the source data for some of the metrics available at https://www.chicago.gov/city/en/sites/covid-19/home/latest-data.html.

    For all datasets related to COVID-19, see https://data.cityofchicago.org/browse?limitTo=datasets&sortBy=alpha&tags=covid-19.

    This dataset is a companion to the COVID-19 Daily Cases and Deaths dataset (https://data.cityofchicago.org/d/naz8-j4nc). The major difference in this dataset is that the case, death, and hospitalization corresponding rates per 100,000 population are not those for the single date indicated. They are rolling averages for the seven-day period ending on that date. This rolling average is used to account for fluctuations that may occur in the data, such as fewer cases being reported on weekends, and small numbers. The intent is to give a more representative view of the ongoing COVID-19 experience, less affected by what is essentially noise in the data.

    All rates are per 100,000 population in the indicated group, or Chicago, as a whole, for “Total” columns.

    Only Chicago residents are included based on the home address as provided by the medical provider.

    Cases with a positive molecular (PCR) or antigen test are included in this dataset. Cases are counted based on the date the test specimen was collected. Deaths among cases are aggregated by day of death. Hospitalizations are reported by date of first hospital admission. Demographic data are based on what is reported by medical providers or collected by CDPH during follow-up investigation.

    Denominators are from the U.S. Census Bureau American Community Survey 1-year estimate for 2018 and can be seen in the Citywide, 2018 row of the Chicago Population Counts dataset (https://data.cityofchicago.org/d/85cm-7uqa).

    All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. At any given time, this dataset reflects cases and deaths currently known to CDPH.

    Numbers in this dataset may differ from other public sources due to definitions of COVID-19-related cases and deaths, sources used, how cases and deaths are associated to a specific date, and similar factors.

    Data Source: Illinois National Electronic Disease Surveillance System, Cook County Medical Examiner’s Office, U.S. Census Bureau American Community Survey

    --- Original source retains full ownership of the source dataset ---

  • Share
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    Statista (2024). Rate of COVID-19 hospitalizations in the U.S. as of June 10, 2023, by ethnicity [Dataset]. https://www.statista.com/statistics/1127489/covid-19-us-hospital-rate-by-ethnicity/
    Organization logo

    Rate of COVID-19 hospitalizations in the U.S. as of June 10, 2023, by ethnicity

    Explore at:
    Dataset updated
    May 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Jun 10, 2023
    Area covered
    United States
    Description

    As of June 10, 2023, the cumulative hospitalization rate in the United States due to COVID-19 was lowest for Non-Hispanic Asian or Pacific Islanders and highest among Non-Hispanic American Indian or Alaska Natives. This statistic shows the cumulative rate of laboratory-confirmed COVID-19-associated hospitalizations in the U.S. as of June 10, 2023, by race and ethnicity.

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