77 datasets found
  1. Number of hospitals in the United States 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Jul 18, 2024
    + more versions
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    Statista Research Department (2024). Number of hospitals in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
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    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of hospitals in the United States was forecast to continuously decrease between 2024 and 2029 by in total 13 hospitals (-0.23 percent). According to this forecast, in 2029, the number of hospitals will have decreased for the twelfth consecutive year to 5,548 hospitals. Depicted is the number of hospitals in the country or region at hand. As the OECD states, the rules according to which an institution can be registered as a hospital vary across countries.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of hospitals in countries like Canada and Mexico.

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

    • 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 (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:

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

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

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

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

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

    On April 30, 2021, this data set has had the following fields added:
  43. previous_day_admission_adult_covid_confirmed_18-19
  44. previous_day_admission_adult_covid_confirmed_18-19_coverage
  45. previous_day_admission_adult_covid_confirmed_20-29_coverage
  46. previous_day_admission_adult_covid_confirmed_30-39
  47. previous_day_admission_adult_covid_confirmed_30-39_coverage
  48. previous_day_admission_adult_covid_confirmed_40-49
  49. previous_day_admission_adult_covid_confirmed_40-49_coverage
  50. previous_day_admission_adult_covid_confirmed_40-49_coverage
  51. previous_day_admission_adult_covid_confirmed_50-59
  52. previous_day_admission_adult_covid_confirmed_50-59_coverage
  53. previous_day_admission_adult_covid_confirmed_60-69
  54. previous_day_admission_adult_covid_confirmed_60-69_coverage
  55. previous_day_admission_adult_covid_confirmed_70-79
  56. previous_day_admission_adult_covid_confirmed_70-79_coverage
  57. previous_day_admission_adult_covid_confirmed_80+
  58. previous_day_admission_adult_covid_confirmed_80+_coverage
  59. previous_day_admission_adult_covid_confirmed_unknown
  60. previous_day_admission_adult_covid_confirmed_unknown_coverage
  61. previous_day_admission_adult_covid_suspected_18-19
  62. previous_day_admission_adult_covid_suspected_18-19_coverage
  63. previous_day_admission_adult_covid_suspected_20-29
  64. previous_day_admission_adult_covid_suspected_20-29_coverage
  65. previous_day_admission_adult_covid_suspected_30-39
  66. previous_day_admission_adult_covid_suspected_30-39_coverage
  67. previous_day_admission_adult_covid_suspected_40-49
  68. previous_day_admission_adult_covid_suspected_40-49_coverage
  69. previous_day_admission_adult_covid_suspected_50-59
  70. previous_day_admission_adult_covid_suspected_50-59_coverage
  71. previous_day_admission_adult_covid_suspected_60-69
  72. previous_day_admission_adult_covid_suspected_60-69_coverage
  73. previous_day_admission_adult_covid_suspected_70-79
  74. previous_day_admission_adult_covid_suspected_70-79_coverage
  75. previous_day_admission_adult_covid_suspected_80+
  76. previous_day_admission_adult_covid_suspected_80+_coverage
  77. previous_day_admission_adult_covid_suspected_unknown
  78. 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
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    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

  • U

    United States US: Hospital Beds: per 1000 People

    • ceicdata.com
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    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;

  • T

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

    • datahub.hhs.gov
    • healthdata.gov
    • +4more
    Updated May 3, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW [Dataset]. https://datahub.hhs.gov/w/uqq2-txqb/_variation_?cur=bAGTG_ntNEF&from=root
    Explore at:
    application/rssxml, csv, application/rdfxml, kmz, tsv, kml, xml, application/geo+jsonAvailable download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    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.

  • T

    United States Hospitals

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 15, 2023
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    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.

  • O

    COVID-19 Reported Patient Impact and Hospital Capacity by Facility

    • data.ct.gov
    • datahub.hhs.gov
    • +5more
    Updated Jun 2, 2025
    + more versions
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    U.S. Department of Health & Human Services (2025). COVID-19 Reported Patient Impact and Hospital Capacity by Facility [Dataset]. https://data.ct.gov/w/vvtn-9xef/wqz6-rhce?cur=tviok2sAPY3&from=kTBFekHvCe8
    Explore at:
    csv, tsv, xml, kml, application/geo+json, kmz, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    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/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 reported for that metric in a given week.

    On June 7, 2021 Changed vaccination fields from max or min fields to Wednesday collected fields only. This reflects that these fields are only reported on Wednesdays in a given week.

    On 9/20/2021, the following has been updated: The use of analytic dataset as a source.

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

    • datahub.hhs.gov
    • data.virginia.gov
    • +2more
    Updated May 3, 2024
    + more versions
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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://datahub.hhs.gov/Hospital/COVID-19-Reported-Patient-Impact-and-Hospital-Capa/g62h-syeh
    Explore at:
    csv, xml, kmz, application/geo+json, application/rssxml, tsv, application/rdfxml, 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

  • Number of available hospital beds per 1,000 people in the United States...

    • statista.com
    • ai-chatbox.pro
    Updated Jul 18, 2024
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    Statista Research Department (2024). Number of available hospital beds per 1,000 people in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The average number of hospital beds available per 1,000 people in the United States was forecast to continuously decrease between 2024 and 2029 by in total 0.1 beds (-3.7 percent). After the eighth consecutive decreasing year, the number of available beds per 1,000 people is estimated to reach 2.63 beds and therefore a new minimum in 2029. Depicted is the number of hospital beds per capita in the country or region at hand. As defined by World Bank this includes inpatient beds in general, specialized, public and private hospitals as well as rehabilitation centers.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the average number of hospital beds available per 1,000 people in countries like Canada and Mexico.

  • COVID-19 Hospital Capacity Metrics - Historical

    • healthdata.gov
    • data.cityofchicago.org
    • +1more
    application/rdfxml +5
    Updated Apr 8, 2025
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    data.cityofchicago.org (2025). COVID-19 Hospital Capacity Metrics - Historical [Dataset]. https://healthdata.gov/dataset/COVID-19-Hospital-Capacity-Metrics-Historical/7znp-3pfk
    Explore at:
    csv, xml, application/rdfxml, tsv, json, application/rssxmlAvailable download formats
    Dataset updated
    Apr 8, 2025
    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

  • 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/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

  • Number of hospital beds in the United States 2014-2029

    • statista.com
    • ai-chatbox.pro
    Updated Jul 18, 2024
    + more versions
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    Statista Research Department (2024). Number of hospital beds in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
    Explore at:
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of hospital beds in the United States was forecast to continuously increase between 2024 and 2029 by in total 16.6 thousand beds (+1.75 percent). After the fifteenth consecutive increasing year, the number of hospital beds is estimated to reach 967.9 thousand beds and therefore a new peak in 2029. Notably, the number of hospital beds of was continuously increasing over the past years.Depicted is the estimated total number of hospital beds in the country or region at hand.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of hospital beds in countries like Mexico and Canada.

  • Healthcare Patient Satisfaction - Data Collection

    • kaggle.com
    Updated Sep 21, 2023
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    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

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

    • catalog.data.gov
    • healthdata.gov
    • +4more
    Updated Apr 23, 2025
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    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
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    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 Estimated Patient Impact and Hospital Capacity by State

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Mar 26, 2025
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    HHS Office of the Chief Data Officer (2025). COVID-19 Estimated Patient Impact and Hospital Capacity by State [Dataset]. https://catalog.data.gov/dataset/covid-19-estimated-patient-impact-and-hospital-capacity-by-state-c0fa5
    Explore at:
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    Deprecated report. This report was created early in the response to the COVID-19 pandemic. Increased reporting and quality in hospital data have rendered the estimated datasets obsolete. The following dataset provides state-aggregated data for estimated patient impact and hospital utilization. The source data for estimation is 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. Estimates Basis: These files are representative estimates for each state and are updated weekly. These projections are based on the information we have from those who reported. As more hospitals report more frequently our projections become more accurate. The actual data for these data points are updated every day, once a day on healthdata.gov and these are the downloadable data sets.

  • Percentage of Hospitals Reporting Data to HHS by State

    • healthdata.gov
    • data.virginia.gov
    • +2more
    application/rdfxml +5
    Updated Jun 24, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). Percentage of Hospitals Reporting Data to HHS by State [Dataset]. https://healthdata.gov/State/Percentage-of-Hospitals-Reporting-Data-to-HHS-by-S/8xss-g7j8
    Explore at:
    application/rdfxml, csv, application/rssxml, xml, json, tsvAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    Description

    This dataset shows the overall percentage of hospitals reporting one or more elements for the previous week.  This is updated weekly on Mondays.

    The reported hospital list includes all hospitals registered with the Centers for Medicare & Medicaid Services (CMS), and 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, and religious non-medical facilities.

  • Methods of hospitals to send and receive health data in the U.S. 2021

    • statista.com
    Updated Jan 14, 2025
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    Statista (2025). Methods of hospitals to send and receive health data in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/1369248/hospitals-methods-of-sending-and-receiving-data-in-the-us/
    Explore at:
    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    United States
    Description

    In 2021, 65 percent of hospitals in the United States sent summary of care records via a state, regional, or local health information exchange, while 56 percent of hospitals received care information this way. Mail or fax was still the most common way for hospitals in the U.S. to send and receive care records in 2021.

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

    • huggingface.co
    Updated May 1, 2024
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    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.

  • DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC...

    • data.cityofnewyork.us
    application/rdfxml +5
    Updated Jun 15, 2021
    + more versions
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    Department of Health and Mental Hygiene (DOHMH) (2021). DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC hospitals for Covid-19 like Illness [Dataset]. https://data.cityofnewyork.us/dataset/DOHMH-Covid-19-Milestone-Data-Daily-Number-of-Peop/sj3k-gzyx
    Explore at:
    tsv, csv, xml, json, application/rssxml, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 15, 2021
    Dataset provided by
    New York City Department of Health and Mental Hygienehttps://nyc.gov/health
    Authors
    Department of Health and Mental Hygiene (DOHMH)
    Area covered
    New York
    Description

    This dataset shows the number of hospital admissions for influenza-like illness, pneumonia, or include ICD-10-CM code (U07.1) for 2019 novel coronavirus. Influenza-like illness is defined as a mention of either: fever and cough, fever and sore throat, fever and shortness of breath or difficulty breathing, or influenza. Patients whose ICD-10-CM code was subsequently assigned with only an ICD-10-CM code for influenza are excluded. Pneumonia is defined as mention or diagnosis of pneumonia. Baseline data represents the average number of people with COVID-19-like illness who are admitted to the hospital during this time of year based on historical counts. The average is based on the daily avg from the rolling same week (same day +/- 3 days) from the prior 3 years. Percent change data represents the change in count of people admitted compared to the previous day. Data sources include all hospital admissions from emergency department visits in NYC. Data are collected electronically and transmitted to the NYC Health Department hourly. This dataset is updated daily. All identifying health information is excluded from the dataset.

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    US Hospital Beds Dashboard (Not Live Status!)

    • risp-cusec.opendata.arcgis.com
    Updated Mar 18, 2020
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    Central U.S. Earthquake Consortium (2020). US Hospital Beds Dashboard (Not Live Status!) [Dataset]. https://risp-cusec.opendata.arcgis.com/datasets/us-hospital-beds-dashboard-not-live-status
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    Dataset updated
    Mar 18, 2020
    Dataset authored and provided by
    Central U.S. Earthquake Consortium
    Description

    Note - this is not real-time status information, the data represents bed utilization based on annual estimates of how many beds are used versus available.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. Please see the following for more details about each metric, data was last updated on 17 March 2020:

    Number of Licensed beds: is the maximum number of beds for which a hospital holds a license to operate; however, many hospitals do not operate all the beds for which they are licensed. This number is obtained through DHC Primary Research. Licensed beds for Health Systems are equal to the total number of licensed beds of individual Hospitals within a given Health System.

    Number of Staffed Bed: is defined as an "adult bed, pediatric bed, birthing room, or newborn ICU bed (excluding newborn bassinets) maintained in a patient care area for lodging patients in acute, long term, or domiciliary areas of the hospital." Beds in labor room, birthing room, post-anesthesia, postoperative recovery rooms, outpatient areas, emergency rooms, ancillary departments, nurses and other staff residences, and other such areas which are regularly maintained and utilized for only a portion of the stay of patients (primarily for special procedures or not for inpatient lodging) are not termed a bed for these purposes. Definitive Healthcare sources Staffed Bed data from the Medicare Cost Report or Proprietary Research as needed. As with all Medicare Cost Report metrics, this number is self-reported by providers. Staffed beds for Health Systems are equal to the total number of staffed beds of individual Hospitals within a given Health System. Total number of staffed beds in the US should exclude Hospital Systems to avoid double counting. ICU beds are likely to follow the same logic as a subset of Staffed beds.

    Number of ICU Beds - ICU (Intensive Care Unit) Beds: are qualified based on definitions by CMS, Section 2202.7, 22-8.2. These beds include ICU beds, burn ICU beds, surgical ICU beds, premature ICU beds, neonatal ICU beds, pediatric ICU beds, psychiatric ICU beds, trauma ICU beds, and Detox ICU beds.

    Bed Utilization Rate: is calculated based on metrics from the Medicare Cost Report: Bed Utilization Rate = Total Patient Days (excluding nursery days)/Bed Days Available

    Potential Increase in Bed Capacity: This metric is computed by subtracting “Number of Staffed Beds from Number of Licensed beds” (Licensed Beds – Staffed Beds). This would provide insights into scenario planning for when staff can be shifted around to increase available bed capacity as needed.

    Hospital Definition: Definitive Healthcare defines a hospital as a healthcare institution providing inpatient, therapeutic, or rehabilitation services under the supervision of physicians. In order for a facility to be considered a hospital it must provide inpatient care.

    Hospital types are defined by the last four digits of the hospital’s Medicare Provider Number. If the hospital does not have a Medicare Provider Number, Definitive Healthcare determines the Hospital type by proprietary research.

    Hospital Types:

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    Short Term Acute Care Hospital (STAC)

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    Provides inpatient care and other services for surgery, acute medical conditions, or injuries

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    Patients care can be provided overnight, and average length of stay is less than 25 days

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    Critical Access Hospital (CAH)

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    25 or fewer acute care inpatient beds

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    Located more than 35 miles from another hospital

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    Annual average length of stay is 96 hours or less for acute care patients

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    Must provide 24/7 emergency care services

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    Designation by CMS to reduce financial vulnerability of rural hospitals and improve access to healthcare

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    Religious Non-Medical Health Care Institutions

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    Provide nonmedical health care items and services to people who need hospital or skilled nursing facility care, but for whom that care would be inconsistent with their religious beliefs

    ·
    Long Term Acute Care Hospitals

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    Average length of stay is more than 25 days

    o
    Patients are receiving acute care - services often include respiratory therapy, head trauma treatment, and pain management

    ·
    Rehabilitation Hospitals

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    Specializes in improving or restoring patients' functional abilities through therapies

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    Children’s Hospitals

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    Majority of inpatients under 18 years old

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    Psychiatric Hospitals

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    Provides inpatient services for diagnosis and treatment of mental illness 24/7

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    Under the supervision of a physician

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    Veteran's Affairs (VA) Hospital

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    Responsible for the care of war veterans and other retired military personnel

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    Administered by the U.S. VA, and funded by the federal government

    ·
    Department of Defense (DoD) Hospital

    o
    Provides care for military service people (Army, Navy, Air Force, Marines, and Coast Guard), their dependents, and retirees (not all military service retirees are eligible for VA services)

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    Statista Research Department (2024). Number of hospitals in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
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    Number of hospitals in the United States 2014-2029

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    6 scholarly articles cite this dataset (View in Google Scholar)
    Dataset updated
    Jul 18, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    The number of hospitals in the United States was forecast to continuously decrease between 2024 and 2029 by in total 13 hospitals (-0.23 percent). According to this forecast, in 2029, the number of hospitals will have decreased for the twelfth consecutive year to 5,548 hospitals. Depicted is the number of hospitals in the country or region at hand. As the OECD states, the rules according to which an institution can be registered as a hospital vary across countries.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of hospitals in countries like Canada and Mexico.

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