100+ datasets found
  1. Leading problems in the U.S. healthcare system 2024

    • statista.com
    Updated Nov 8, 2024
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    Statista (2024). Leading problems in the U.S. healthcare system 2024 [Dataset]. https://www.statista.com/statistics/917159/leading-problems-healthcare-system-us/
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    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 26, 2024 - Aug 9, 2024
    Area covered
    United States
    Description

    A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

  2. Percentage of U.S. Americans with any health insurance 1990-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Percentage of U.S. Americans with any health insurance 1990-2023 [Dataset]. https://www.statista.com/statistics/200958/percentage-of-americans-with-health-insurance/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The percentage of people in the United States with health insurance has increased over the past decade with a noticeably sharp increase in 2014 when the Affordable Care Act (ACA) was enacted. As of 2023, around ** percent of people in the United States had some form of health insurance, compared to around ** percent in 2010. Despite the increases in the percentage of insured people in the U.S., there were still over ** million people in the United States without health insurance as of 2023. Insurance coverage Health insurance in the United States consists of different private and public insurance programs such as those provided by private employers or those provided publicly through Medicare and Medicaid. Almost half of the insured population in the United States were insured privately through an employer as of 2021, while **** percent of people were insured through Medicaid, and **** percent through Medicare . The Affordable Care Act The Affordable Care Act (ACA), enacted in 2014, has significantly reduced the number of uninsured people in the United States. In 2014, the percentage of U.S. individuals with health insurance increased to almost ** percent. Furthermore, the percentage of people without health insurance reached an all time low in 2022. Public opinion on healthcare reform in the United States remains an ongoing political issue with public opinion consistently divided.

  3. Percentage of U.S. population with health insurance 2020-2023, by coverage

    • statista.com
    Updated Oct 22, 2024
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    Statista (2024). Percentage of U.S. population with health insurance 2020-2023, by coverage [Dataset]. https://www.statista.com/statistics/235223/distribution-of-us-population-with-health-insurance-by-coverage/
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    Dataset updated
    Oct 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2020, around 66.5 percent of the U.S. population had private health insurance coverage. This share slightly decreased to 65.4 percent in 2023. Medicare and Medicaid together provided healthcare coverage to approximately 38 percent of the population in the United States. U.S. population with and without health insurance In 2022, over half of the U.S. population had health insurance coverage through their place of employment, around 54.5 percent. Approximately 35 percent had coverage through some form of government plan in the same year. While still low, the U.S. population without health insurance has decreased slightly from the previous year. A large portion of those without health insurance are between 19 and 25 years of age. Approximately 15 percent of adults in this age group did not have health insurance in 2021. Health expenditure The United States spent approximately 12,555 U.S. dollars per capita on health in 2022 while in comparison, the Canadian government expended some 6,319 U.S. dollars per capita in the same year. However, higher health spending did not equate to a better health system or outcomes and when ranked with other comparable high-income countries, the U.S. came in last on nearly all health performance categories from access of care to health outcomes.

  4. F

    All Employees, Health Care

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). All Employees, Health Care [Dataset]. https://fred.stlouisfed.org/series/CES6562000101
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Health Care (CES6562000101) from Jan 1990 to Jun 2025 about health, establishment survey, education, services, employment, and USA.

  5. Reduced Access to Care During COVID-19

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Reduced Access to Care During COVID-19 [Dataset]. https://catalog.data.gov/dataset/reduced-access-to-care-during-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

  6. Health, United States

    • catalog.data.gov
    • healthdata.gov
    • +3more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Health, United States [Dataset]. https://catalog.data.gov/dataset/health-united-states-e04e6
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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

    Health, United States is the report on the health status of the country. Every year, the report presents an overview of national health trends organized around four subject areas: health status and determinants, utilization of health resources, health care resources, and health care expenditures and payers.

  7. F

    Expenditures: Healthcare by Age: from Age 25 to 34

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
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    (2024). Expenditures: Healthcare by Age: from Age 25 to 34 [Dataset]. https://fred.stlouisfed.org/series/CXUHEALTHLB0403M
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    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Expenditures: Healthcare by Age: from Age 25 to 34 (CXUHEALTHLB0403M) from 1984 to 2023 about healthcare, age, 25 years +, health, expenditures, and USA.

  8. U.S. health care expenditure distribution by payer 2015-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 13, 2025
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    Statista (2025). U.S. health care expenditure distribution by payer 2015-2024 [Dataset]. https://www.statista.com/statistics/237043/us-health-care-spending-distribution/
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    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The United States has the highest expenditure on health care per capita globally. However, the U.S. has an unique way of paying for their health care where a majority of the expenditure falls upon private insurances. In FY 2024, around one ***** of all health expenditure is paid by private insurance. Public insurance programs Medicare and Medicaid accounted for ** and ** percent, respectively, of health expenditure during that same year. U.S. health care system Globally health spending has been increasing among most countries. However, the U.S. has the highest public and private per capita health expenditure among all countries globally, followed by Switzerland. As of 2020, annual health care costs per capita in the United States totaled to over ** thousand U.S. dollars, a significant amount considering the average U.S. personal income is around ** thousand dollars. Out of pocket costs in the U.S. Aside from overall high health care costs for U.S. residents, the total out-of-pocket costs for health care have been on the rise. In recent years, the average per capita out-of-pocket health care payments have exceeded *** thousand dollars. Physician services, dental services and prescription drugs account for the largest proportion of out-of-pocket expenditures for U.S. residents.

  9. F

    All Employees, Home Health Care Services

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). All Employees, Home Health Care Services [Dataset]. https://fred.stlouisfed.org/series/CEU6562160001
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Home Health Care Services (CEU6562160001) from Jan 1985 to Jun 2025 about health, establishment survey, education, services, employment, and USA.

  10. U.S. Americans with health insurance 1990-2023

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. Americans with health insurance 1990-2023 [Dataset]. https://www.statista.com/statistics/200946/americans-with-health-insurance/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of 2023, nearly *** million people in the United States had some kind of health insurance, a significant increase from around *** million insured people in 2010. However, as of 2023, there were still approximately ** million people in the United States without any kind of health insurance. Insurance coverage The United States does not have universal health insurance, and so health care cost is mostly covered through different private and public insurance programs. In 2021, almost ** percent of the insured population of the United States were insured through employers, while **** percent of people were insured through Medicaid, and **** percent of people through Medicare. As of 2022, about *** percent of people were uninsured in the U.S., compared to ** percent in 2010. The Affordable Care Act The Affordable Care Act (ACA) significantly reduced the number of uninsured people in the United States, from **** million uninsured people in 2013 to **** million people in 2015. However, since the repeal of the individual mandate the number of people without health insurance has risen. Healthcare reform in the United States remains an ongoing political issue with public opinion on a Medicare-for-all plan consistently divided.

  11. United States Health Insurance: Premium Per Member Per Month

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Health Insurance: Premium Per Member Per Month [Dataset]. https://www.ceicdata.com/en/united-states/health-insurance-industry-financial-snapshots/health-insurance-premium-per-member-per-month
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    Dataset updated
    Nov 27, 2021
    Dataset provided by
    CEIC Data
    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, 2021 - Sep 1, 2024
    Area covered
    United States
    Variables measured
    Insurance Market
    Description

    United States Health Insurance: Premium Per Member Per Month data was reported at 364.000 USD in Sep 2024. This stayed constant from the previous number of 364.000 USD for Jun 2024. United States Health Insurance: Premium Per Member Per Month data is updated quarterly, averaging 262.000 USD from Mar 2012 (Median) to Sep 2024, with 51 observations. The data reached an all-time high of 364.000 USD in Sep 2024 and a record low of 178.000 USD in Sep 2013. United States Health Insurance: Premium Per Member Per Month data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG017: Health Insurance: Industry Financial Snapshots.

  12. United States Unemployment Rate: PW: NA: EH: Health Care & Social Assistance...

    • ceicdata.com
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    CEICdata.com (2021). United States Unemployment Rate: PW: NA: EH: Health Care & Social Assistance (HC) [Dataset]. https://www.ceicdata.com/en/united-states/current-population-survey-unemployment-rate/unemployment-rate-pw-na-eh-health-care--social-assistance-hc
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    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Unemployment
    Description

    United States Unemployment Rate: PW: NA: EH: Health Care & Social Assistance (HC) data was reported at 2.600 % in Apr 2025. This stayed constant from the previous number of 2.600 % for Mar 2025. United States Unemployment Rate: PW: NA: EH: Health Care & Social Assistance (HC) data is updated monthly, averaging 3.200 % from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 10.300 % in Apr 2020 and a record low of 2.000 % in Apr 2024. United States Unemployment Rate: PW: NA: EH: Health Care & Social Assistance (HC) data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G037: Current Population Survey: Unemployment Rate.

  13. F

    Output per Worker for Health Care and Social Assistance: Diagnostic Imaging...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
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    (2025). Output per Worker for Health Care and Social Assistance: Diagnostic Imaging Centers (NAICS 621512) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPURN621512W001000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Output per Worker for Health Care and Social Assistance: Diagnostic Imaging Centers (NAICS 621512) in the United States (IPURN621512W001000000) from 1995 to 2022 about diagnostic imaging, healthcare, social assistance, output, health, NAICS, IP, employment, and USA.

  14. F

    Employment for Health Care and Social Assistance: Other Ambulatory Health...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
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    (2025). Employment for Health Care and Social Assistance: Other Ambulatory Health Care Services (NAICS 6219) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPURN6219W201000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Health Care and Social Assistance: Other Ambulatory Health Care Services (NAICS 6219) in the United States (IPURN6219W201000000) from 1988 to 2024 about ambulatory, healthcare, social assistance, health, NAICS, IP, services, employment, and USA.

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

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

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

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

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

    Reporting information:

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

  16. U

    United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure...

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health [Dataset]. https://www.ceicdata.com/en/united-states/health-statistics/us-outofpocket-health-expenditure--of-private-expenditure-on-health
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    Dataset updated
    Mar 15, 2023
    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

    Area covered
    United States
    Variables measured
    undefined
    Description

    United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data was reported at 21.365 % in 2014. This records a decrease from the previous number of 21.927 % for 2013. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data is updated yearly, averaging 23.966 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 26.623 % in 1998 and a record low of 21.365 % in 2014. United States US: Out-of-Pocket Health Expenditure: % of Private Expenditure on Health data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Out of pocket expenditure is any direct outlay by households, including gratuities and in-kind payments, to health practitioners and suppliers of pharmaceuticals, therapeutic appliances, and other goods and services whose primary intent is to contribute to the restoration or enhancement of the health status of individuals or population groups. It is a part of private health expenditure.; ; World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).; Weighted average;

  17. F

    Employment for Health Care and Social Assistance: Community Care Facilities...

    • fred.stlouisfed.org
    json
    Updated Apr 24, 2025
    + more versions
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    (2025). Employment for Health Care and Social Assistance: Community Care Facilities for the Elderly (NAICS 6233) in the United States [Dataset]. https://fred.stlouisfed.org/series/IPURN6233W010000000
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    jsonAvailable download formats
    Dataset updated
    Apr 24, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Employment for Health Care and Social Assistance: Community Care Facilities for the Elderly (NAICS 6233) in the United States (IPURN6233W010000000) from 1987 to 2024 about elderly, community, healthcare, social assistance, health, NAICS, IP, employment, and USA.

  18. Healthcare and Social Assistance in the US

    • ibisworld.com
    Updated Feb 15, 2025
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    IBISWorld (2025). Healthcare and Social Assistance in the US [Dataset]. https://www.ibisworld.com/industry-statistics/number-of-businesses/healthcare-social-assistance-united-states/
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2006 - 2031
    Area covered
    United States
    Description

    Number of Businesses statistics on the Healthcare and Social Assistance industry in United States

  19. Mental Health Care in the Last 4 Weeks

    • catalog.data.gov
    • data.virginia.gov
    • +2more
    Updated Apr 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Mental Health Care in the Last 4 Weeks [Dataset]. https://catalog.data.gov/dataset/mental-health-care-in-the-last-4-weeks
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

  20. DQS Health care employment and wages, by selected occupations: United States...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Apr 21, 2025
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    Centers for Disease Control and Prevention (2025). DQS Health care employment and wages, by selected occupations: United States [Dataset]. https://data.virginia.gov/dataset/dqs-health-care-employment-and-wages-by-selected-occupations-united-states
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    csv, rdf, json, xslAvailable download formats
    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Data on health care employment and wages in the United States, by selected occupations. Data are from Health, United States. Source: U.S. Department of Labor, Bureau of Labor Statistics, Occupational Employment and Wage Statistics. Search, visualize, and download these and other estimates from over 120 health topics with the NCHS Data Query System (DQS), available from: https://www.cdc.gov/nchs/dataquery/index.htm.

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Statista (2024). Leading problems in the U.S. healthcare system 2024 [Dataset]. https://www.statista.com/statistics/917159/leading-problems-healthcare-system-us/
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Leading problems in the U.S. healthcare system 2024

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Dataset updated
Nov 8, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jul 26, 2024 - Aug 9, 2024
Area covered
United States
Description

A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

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