58 datasets found
  1. COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW)

    • healthdata.gov
    • datahub.hhs.gov
    • +2more
    Updated May 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW) [Dataset]. https://healthdata.gov/dataset/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/6xf2-c3ie
    Explore at:
    xml, csv, application/rssxml, application/rdfxml, tsv, application/geo+json, kml, kmzAvailable 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. 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 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 June 26, 2023 the field "reporting_cutoff_start" was replaced by the field "date".

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

  2. all_pediatric_inpatient_bed_occupied
  3. all_pediatric_inpatient_bed_occupied_coverage
  4. all_pediatric_inpatient_beds
  5. all_pediatric_inpatient_beds_coverage
  6. previous_day_admission_pediatric_covid_confirmed_0_4
  7. previous_day_admission_pediatric_covid_confirmed_0_4_coverage
  8. previous_day_admission_pediatric_covid_confirmed_12_17
  9. previous_day_admission_pediatric_covid_confirmed_12_17_coverage
  10. previous_day_admission_pediatric_covid_confirmed_5_11
  11. previous_day_admission_pediatric_covid_confirmed_5_11_coverage
  12. previous_day_admission_pediatric_covid_confirmed_unknown
  13. previous_day_admission_pediatric_covid_confirmed_unknown_coverage
  14. staffed_icu_pediatric_patients_confirmed_covid
  15. staffed_icu_pediatric_patients_confirmed_covid_coverage
  16. staffed_pediatric_icu_bed_occupancy
  17. staffed_pediatric_icu_bed_occupancy_coverage
  18. total_staffed_pediatric_icu_beds
  19. total_staffed_pediatric_icu_beds_coverage

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

    On September 17, 2021, this data set has had the following fields added:
  22. icu_patients_confirmed_influenza,
  23. icu_patients_confirmed_influenza_coverage,
  24. previous_day_admission_influenza_confirmed,
  25. previous_day_admission_influenza_confirmed_coverage,
  26. previous_day_deaths_covid_and_influenza,
  27. previous_day_deaths_covid_and_influenza_coverage,
  28. previous_day_deaths_influenza,
  29. previous_day_deaths_influenza_coverage,
  30. total_patients_hospitalized_confirmed_influenza,
  31. total_patients_hospitalized_confirmed_influenza_and_covid,
  32. total_patients_hospitalized_confirmed_influenza_and_covid_coverage,
  33. total_patients_hospitalized_confirmed_influenza_coverage

    On September 13, 2021, this data set has had the following fields added:
  34. on_hand_supply_therapeutic_a_casirivimab_imdevimab_courses,
  35. on_hand_supply_therapeutic_b_bamlanivimab_courses,
  36. on_hand_supply_therapeutic_c_bamlanivimab_etesevimab_courses,
  37. previous_week_therapeutic_a_casirivimab_imdevimab_courses_used,
  38. previous_week_therapeutic_b_bamlanivimab_courses_used,
  39. previous_week_therapeutic_c_bamlanivimab_etesevimab_courses_used

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

    On April 30, 2021, this data set has had the following fields added:
  42. previous_day_admission_adult_covid_confirmed_18-19
  43. previous_day_admission_adult_covid_confirmed_18-19_coverage
  44. previous_day_admission_adult_covid_confirmed_20-29_coverage
  45. previous_day_admission_adult_covid_confirmed_30-39
  46. previous_day_admission_adult_covid_confirmed_30-39_coverage
  47. previous_day_admission_adult_covid_confirmed_40-49
  48. previous_day_admission_adult_covid_confirmed_40-49_coverage
  49. previous_day_admission_adult_covid_confirmed_40-49_coverage
  50. previous_day_admission_adult_covid_confirmed_50-59
  51. previous_day_admission_adult_covid_confirmed_50-59_coverage
  52. previous_day_admission_adult_covid_confirmed_60-69
  53. previous_day_admission_adult_covid_confirmed_60-69_coverage
  54. previous_day_admission_adult_covid_confirmed_70-79
  55. previous_day_admission_adult_covid_confirmed_70-79_coverage
  56. previous_day_admission_adult_covid_confirmed_80+
  57. previous_day_admission_adult_covid_confirmed_80+_coverage
  58. previous_day_admission_adult_covid_confirmed_unknown
  59. previous_day_admission_adult_covid_confirmed_unknown_coverage
  60. previous_day_admission_adult_covid_suspected_18-19
  61. previous_day_admission_adult_covid_suspected_18-19_coverage
  62. previous_day_admission_adult_covid_suspected_20-29
  63. previous_day_admission_adult_covid_suspected_20-29_coverage
  64. previous_day_admission_adult_covid_suspected_30-39
  65. previous_day_admission_adult_covid_suspected_30-39_coverage
  66. previous_day_admission_adult_covid_suspected_40-49
  67. previous_day_admission_adult_covid_suspected_40-49_coverage
  68. previous_day_admission_adult_covid_suspected_50-59
  69. previous_day_admission_adult_covid_suspected_50-59_coverage
  70. previous_day_admission_adult_covid_suspected_60-69
  71. previous_day_admission_adult_covid_suspected_60-69_coverage
  72. previous_day_admission_adult_covid_suspected_70-79
  73. previous_day_admission_adult_covid_suspected_70-79_coverage
  74. previous_day_admission_adult_covid_suspected_80+
  75. previous_day_admission_adult_covid_suspected_80+_coverage
  76. previous_day_admission_adult_covid_suspected_unknown
  77. previous_day_admission_adult_covid_suspected_unknown_coverage

  • Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction –...

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Jul 11, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.cdc.gov (2023). Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED [Dataset]. https://healthdata.gov/dataset/Weekly-United-States-COVID-19-Hospitalization-Metr/i9k6-47up
    Explore at:
    json, csv, application/rdfxml, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Jul 11, 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.

    This dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. 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

    Metric details:

    • Time Period: timeseries data will update weekly on Mondays 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 COVID-19 Hospital Admissions (count): Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
    • New COVID-19 Hospital Admissions (7-Day Average): 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
    • Cumulative COVID-19 Hospital Admissions: Cumulative total number of admissions of patients with labo

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

    • healthdata.gov
    • data.virginia.gov
    • +4more
    Updated May 3, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW [Dataset]. https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb
    Explore at:
    application/rssxml, tsv, csv, application/rdfxml, xml, kml, kmz, application/geo+jsonAvailable 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 is the originally reported numbers by the facility. This data set may contain data anomalies due to data key entries.

    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 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

    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.

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

    • s.cnmilf.com
    • datahub.hhs.gov
    • +5more
    Updated Mar 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2025). COVID-19 Reported Patient Impact and Hospital Capacity by Facility [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/covid-19-reported-patient-impact-and-hospital-capacity-by-facility-413ba
    Explore at:
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    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 correc

  • T

    United States Hospitals

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2023). United States Hospitals [Dataset]. https://tradingeconomics.com/united-states/hospital
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1980 - Dec 31, 2022
    Area covered
    United States
    Description

    Hospitals in the United States decreased to 18.36 per one million people in 2022 from 18.46 per one million people in 2021. This dataset includes a chart with historical data for the United States Hospitals.

  • U

    United States US: Hospital Beds: per 1000 People

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States US: Hospital Beds: per 1000 People [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-hospital-beds-per-1000-people
    Explore at:
    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
    Dec 1, 1999 - Dec 1, 2011
    Area covered
    United States
    Description

    United States US: Hospital Beds: per 1000 People data was reported at 2.900 Number in 2011. This records a decrease from the previous number of 3.000 Number for 2010. United States US: Hospital Beds: per 1000 People data is updated yearly, averaging 5.000 Number from Dec 1960 (Median) to 2011, with 43 observations. The data reached an all-time high of 9.200 Number in 1960 and a record low of 2.900 Number in 2011. United States US: Hospital Beds: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Health Statistics. Hospital beds include inpatient beds available in public, private, general, and specialized hospitals and rehabilitation centers. In most cases beds for both acute and chronic care are included.; ; Data are from the World Health Organization, supplemented by country data.; Weighted average;

  • 3500 hospitals data of USA

    • kaggle.com
    Updated Oct 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Aman Garg 0303 (2023). 3500 hospitals data of USA [Dataset]. https://www.kaggle.com/datasets/amangarg0303/3500-hospitals-data-of-usa/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 15, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aman Garg 0303
    Area covered
    United States
    Description

    The dataset is taken from communitybenefitinsight website, they have the data of around 3500 hospitals in USA consisting of the hospital name, address, city, state, zipcode, bed_count, and many more features. This data is for practice and educational purposes.

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

    • healthdata.gov
    • data.virginia.gov
    • +1more
    application/rdfxml +5
    Updated Jun 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.cdc.gov (2023). Weekly United States COVID-19 Hospitalization Metrics by County (Historical) – ARCHIVED [Dataset]. https://healthdata.gov/w/n48a-vb2r/default?cur=a550kebrfDL
    Explore at:
    csv, json, tsv, application/rdfxml, application/rssxml, xmlAvailable 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

  • Hospital Bed Capacity and COVID-19

    • kaggle.com
    Updated May 10, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Andrii Samoshyn (2020). Hospital Bed Capacity and COVID-19 [Dataset]. https://www.kaggle.com/mrmorj/hospital-bed-capacity-and-covid19/metadata
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 10, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Andrii Samoshyn
    Description

    A dataset of hospital bed capacity data for each of 306 U.S. hospital markets, including data for nine different models of COVID-19 infection scenarios. The data comes from a team of researchers at the Harvard Global Data Institute. They modeled various scenarios, in which 20%, 40% and 60% of the adult population would be infected with the novel coronavirus, many of whom would have no or few symptoms, and examined whether hospitals had the capacity to handle them if the cases came in over six months, 12 months and 18 months. Hospital bed figures were derived from recent surveys conducted by the American Hospital Association and data compiled by the American Hospital Directory. The data is divided into slightly more than 300 regions, also known as hospital referral regions.

  • V

    Definitive Healthcare: USA Hospital Beds

    • data.virginia.gov
    • splitgraph.com
    csv
    Updated Feb 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Other (2024). Definitive Healthcare: USA Hospital Beds [Dataset]. https://data.virginia.gov/dataset/definitive-healthcare-usa-hospital-beds
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Area covered
    United States
    Description

    Made available through Socrata COVID-19 Plugin via API.

    From the source Web site: This dataset is intended to be used as a baseline for understanding the typical bed capacity and average yearly bed utilization of hospitals reporting such information. The date of last update received from each hospital may be varied. While the dataset is not updated in real-time, this information is critical for understanding the impact of a high utilization event, like COVID-19.

    Data source: https://coronavirus-resources.esri.com/datasets/1044bb19da8d4dbfb6a96eb1b4ebf629_0?geometry=49.394%2C-16.820%2C-74.356%2C72.123

    Definitive Healthcare is the leading provider of data, intelligence, and analytics on healthcare organizations and practitioners. In this service, Definitive Healthcare provides intelligence on the numbers of licensed beds, staffed beds, ICU beds, and the bed utilization rate for the hospitals in the United States.

  • d

    COVID-19 Hospital Capacity Metrics - Historical

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Dec 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.cityofchicago.org (2023). COVID-19 Hospital Capacity Metrics - Historical [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-capacity-metrics
    Explore at:
    Dataset updated
    Dec 2, 2023
    Dataset provided by
    data.cityofchicago.org
    Description

    NOTE: This dataset is historical-only as of 5/10/2023. All data currently in the dataset will remain, but new data will not be added. The recommended alternative dataset for similar data beyond that date is  https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u. (This is not a City of Chicago site. Please direct any questions or comments through the contact information on the site.) During the COVID-19 pandemic, the Chicago Department of Public Health (CDPH) required EMS Region XI (Chicago area) hospitals to report hospital capacity and patient impact metrics related to COVID-19 to CDPH through the statewide EMResource system. This requirement has been lifted as of May 9, 2023, in alignment with the expiration of the national and statewide COVID-19 public health emergency declarations on May 11, 2023. However, all hospitals will still be required by the U.S. Department of Health and Human Services (HHS) to report COVID-19 hospital capacity and utilization metrics into the HHS Protect system through the CDC’s National Healthcare Safety Network until April 30, 2024. Facility-level data from the HHS Protect system can be found at healthdata.gov. Until May 9, 2023, all Chicago (EMS Region XI) hospitals (n=28) were required to report bed and ventilator capacity, availability, and occupancy to the Chicago Department of Public Health (CDPH) daily. A list of reporting hospitals is included below. All data represent hospital status as of 11:59 pm for that calendar day. Counts include Chicago residents and non-residents. ICU bed counts include both adult and pediatric ICU beds. Neonatal ICU beds are not included. Capacity refers to all staffed adult and pediatric ICU beds. Availability refers to all available/vacant adult and pediatric ICU beds. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases in ICU on 03/19/2020. Hospitals began reporting ICU surge capacity as part of total capacity on 5/18/2020. Acute non-ICU bed counts include burn unit, emergency department, medical/surgery (ward), other, pediatrics (pediatric ward) and psychiatry beds. Burn beds include those approved by the American Burn Association or self-designated. Capacity refers to all staffed acute non-ICU beds. An additional 500 acute/non-ICU beds were added at the McCormick Place Treatment Facility on 4/15/2020. These beds are not included in the total capacity count. The McCormick Place Treatment Facility closed on 05/08/2020. Availability refers to all available/vacant acute non-ICU beds. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases in acute non-ICU beds on 04/03/2020. Ventilator counts prior to 04/24/2020 include all full-functioning mechanical ventilators, with ventilators with bilevel positive airway pressure (BiPAP), anesthesia machines, and portable/transport ventilators counted as surge. Beginning 04/24/2020, ventilator counts include all full-functioning mechanical ventilators, BiPAP, anesthesia machines and portable/transport ventilators. Ventilators are counted regardless of ability to staff. Hospitals began reporting COVID-19 confirmed and suspected (PUI) cases on ventilators on 03/19/2020. CDPH has access to additional ventilators from the EAMC (Emergency Asset Management Center) cache. These ventilators are included in the total capacity count. Chicago (EMS Region 11) hospitals: Advocate Illinois Masonic Medical Center, Advocate Trinity Hospital, AMITA Resurrection Medical Center Chicago, AMITA Saint Joseph Hospital Chicago, AMITA Saints Mary & Elizabeth Medical Center, Ann & Robert H Lurie Children's Hospital, Comer Children's Hospital, Community First Medical Center, Holy Cross Hospital, Jackson Park Hospital & Medical Center, John H. Stroger Jr. Hospital of Cook County, Loretto Hospital, Mercy Hospital and Medical Center, , Mount Sinai Hospital, Northwestern Memorial Hospital, Norwegian American Hospital, Roseland Community Hospital, Rush University M

  • Healthcare Patient Satisfaction - Data Collection

    • kaggle.com
    Updated Sep 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KagglePro (2023). Healthcare Patient Satisfaction - Data Collection [Dataset]. https://www.kaggle.com/datasets/kaggleprollc/healthcare-patient-satisfaction-data-collection
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 21, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    KagglePro
    License

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

    Description

    In the U.S., every hospital that receives payments from Medicare and Medicaid is mandated to provide quality data to The Centers for Medicare and Medicaid Services (CMS) annually. This data helps gauge patient satisfaction levels across the country. While overall hospital scores can be influenced by the quality of customer services, there may also be variations in satisfaction based on the type of hospital or its location.

    Year: 2016 - 2020

    The Star Rating Program, implemented by The Centers for Medicare & Medicaid Services (CMS), employs a five-star grading system to evaluate the experiences of Medicare beneficiaries with their respective health plans and the overall healthcare system. Health plans receive scores ranging from 1 to 5 stars, with 5 stars denoting the highest quality.

    Benefits:

    Historical Analysis: With data spanning from 2016 to 2020, researchers and analysts can observe trends over time, understanding how patient satisfaction has evolved over these years.

    Benchmarking: Hospitals can compare their performance against national averages or against peer institutions to see where they stand.

    Identifying Areas for Improvement: By analyzing specific metrics and feedback, hospitals can pinpoint areas where their services may be lacking and need enhancement.

    Policy and Decision Making: Governments and healthcare administrators can use the data to make informed decisions about healthcare policies, funding allocations, and other strategic decisions.

    Research and Academic Purposes: Academics and researchers can use the dataset for various studies, including correlational studies, predictions, and more.

    Geographical Insights: The dataset may provide insights into regional variations in patient satisfaction, helping to identify areas or states with particularly high or low scores.

    Understanding Factors Affecting Satisfaction: By correlating satisfaction scores with other variables (e.g., hospital type, size, location), it might be possible to determine which factors play the most significant role in patient satisfaction.

    Performance Evaluation: Hospitals can use the data to evaluate the efficacy of any interventions or changes they've made over the years in terms of improving patient satisfaction.

    Enhancing Patient Trust: Demonstrating transparency and a commitment to improvement can enhance patient trust and loyalty.

    Informed Patients: By making such data publicly available, potential patients can make more informed decisions about where to seek care based on the satisfaction ratings of previous patients.

    Source: https://data.cms.gov/provider-data/archived-data/hospitals

  • Hospital capacity - most recent week

    • data.ct.gov
    application/rdfxml +5
    Updated May 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2025). Hospital capacity - most recent week [Dataset]. https://data.ct.gov/Health-and-Human-Services/Hospital-capacity-most-recent-week/48fw-z4m2
    Explore at:
    tsv, application/rdfxml, json, application/rssxml, csv, xmlAvailable download formats
    Dataset updated
    May 28, 2025
    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

    The "COVID-19 Reported Patient Impact and Hospital Capacity by Facility" dataset from the U.S. Department of Health & Human Services, filtered for Connecticut. View the full dataset and detailed metadata here: https://healthdata.gov/dataset/covid-19-reported-patient-impact-and-hospital-capacity-facility

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Friday to Thursday). 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 2020-11-20 means the average/sum/coverage of the elements captured from that given facility starting and including Friday, November 20, 2020, and ending and including reports for Thursday, November 26, 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”.

    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.

  • Visits to physician offices, hospital outpatient departments, and hospital...

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Apr 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Centers for Disease Control and Prevention (2025). Visits to physician offices, hospital outpatient departments, and hospital emergency departments, by age, sex, and race: United States [Dataset]. https://catalog.data.gov/dataset/visits-to-physician-offices-hospital-outpatient-departments-and-hospital-emergency-departm-6ef16
    Explore at:
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Data on visits to physician offices, hospital outpatient departments and hospital emergency departments by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. Note that the data file available here has more recent years of data than what is shown in the PDF or Excel version. Data for 2017 physician office visits are not available. SOURCE: NCHS, National Ambulatory Medical Care Survey and National Hospital Ambulatory Medical Care Survey. For more information on the National Ambulatory Medical Care Survey and the National Hospital Ambulatory Medical Care Survey, see the corresponding Appendix entries at https://www.cdc.gov/nchs/data/hus/hus17_appendix.pdf.

  • covid-19-hospital-data-coverage-summary

    • huggingface.co
    Updated May 1, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health and Human Services (2024). covid-19-hospital-data-coverage-summary [Dataset]. https://huggingface.co/datasets/HHS-Official/covid-19-hospital-data-coverage-summary
    Explore at:
    Dataset updated
    May 1, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    COVID-19 Hospital Data Coverage Summary

      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 a summary of… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/covid-19-hospital-data-coverage-summary.

  • T

    United States Hospital Beds

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 15, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2023). United States Hospital Beds [Dataset]. https://tradingeconomics.com/united-states/hospital-beds
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Dec 31, 1960 - Dec 31, 2022
    Area covered
    United States
    Description

    Hospital Beds in the United States decreased to 2.75 per 1000 people in 2022 from 2.77 per 1000 people in 2021. This dataset includes a chart with historical data for the United States Hospital Beds.

  • A

    ‘COVID-19 Reported Patient Impact and Hospital Capacity by Facility’...

    • analyst-2.ai
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘COVID-19 Reported Patient Impact and Hospital Capacity by Facility’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-covid-19-reported-patient-impact-and-hospital-capacity-by-facility-e304/latest
    Explore at:
    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 Reported Patient Impact and Hospital Capacity by Facility’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/e6ff9332-7a6d-42a7-986b-3deb14475c11 on 13 February 2022.

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

    The "COVID-19 Reported Patient Impact and Hospital Capacity by Facility" dataset from the U.S. Department of Health & Human Services, filtered for Connecticut. View the full dataset and detailed metadata here: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/anag-cw7u

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Friday to Thursday). 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 2020-11-20 means the average/sum/coverage of the elements captured from that given facility starting and including Friday, November 20, 2020, and ending and including reports for Thursday, November 26, 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”.

    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.

    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. To see the numbers as reported by the facilities, go to: https://healthdata.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/uqq2-txqb

    On May 13, 2021 Changed vaccination fields from sum to max or min fields. This reflects the maximum or minimum number report

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

  • covid-19-hospital-data-coverage-for-hospital-in-su

    • huggingface.co
    Updated May 5, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health and Human Services (2024). covid-19-hospital-data-coverage-for-hospital-in-su [Dataset]. https://huggingface.co/datasets/HHS-Official/covid-19-hospital-data-coverage-for-hospital-in-su
    Explore at:
    Dataset updated
    May 5, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    COVID-19 Hospital Data Coverage for Hospital in Suspense

      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… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/covid-19-hospital-data-coverage-for-hospital-in-su.

  • weekly-united-states-covid-19-hospitalization-metr

    • huggingface.co
    Updated May 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Department of Health and Human Services (2023). weekly-united-states-covid-19-hospitalization-metr [Dataset]. https://huggingface.co/datasets/HHS-Official/weekly-united-states-covid-19-hospitalization-metr
    Explore at:
    Dataset updated
    May 10, 2023
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    Area covered
    United States
    Description

    Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED

      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. This dataset represents weekly COVID-19… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/weekly-united-states-covid-19-hospitalization-metr.

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

    • opendata.ramseycounty.us
    application/rdfxml +5
    Updated May 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2025). 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/w/5mvu-4mt4/cjij-g4h4?cur=wCPAmhgX7ip
    Explore at:
    json, csv, tsv, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    May 29, 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”.

  • Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW) [Dataset]. https://healthdata.gov/dataset/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/6xf2-c3ie
    Organization logo

    COVID-19 Reported Patient Impact and Hospital Capacity by State (RAW)

    Explore at:
    xml, csv, application/rssxml, application/rdfxml, tsv, application/geo+json, kml, kmzAvailable 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. 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 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 June 26, 2023 the field "reporting_cutoff_start" was replaced by the field "date".

    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

  • Search
    Clear search
    Close search
    Google apps
    Main menu