In FY 2024, there were a total of ***** non-federal, short-term, acute care hospitals in the United States according to the American hospital directory. This included *** hospitals in Texas and *** hospitals in California, while there were just** hospitals in Vermont. This statistic presents the number of hospitals in the U.S. as of 2024, by state.

Dataset

This dataset was created by Henry C. Wong

Released under Database: Open Database, Contents: Database Contents

Contents

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.

The CMS Program Statistics - Medicare Providers summary tables provide data on institutional (i.e., hospitals, skilled nursing facilities, home health agencies, hospices, etc.) and non-institutional (i.e., physicians, nonphysicians, specialists, and suppliers) providers. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data. Below is the list of tables: MDCR PROVIDERS 1. Medicare Providers: Number of Medicare Certified Institutional Providers, Yearly Trend MDCR PROVIDERS 2. Medicare Providers: Number of Medicare Certified Inpatient Hospital and Skilled Nursing Facility Beds and Beds Per 1,000 Enrollees, Yearly Trend MDCR PROVIDERS 3. Medicare Providers: Number of Medicare Certified Facilities, by Type of Control, Yearly Trend MDCR PROVIDERS 4. Medicare Providers: Number of Skilled Nursing Facilities and Medicare Certified Hospitals, and Number of Beds, by State, Territories, Possessions and Other Areas MDCR PROVIDERS 5. Medicare Providers: Number of Medicare Certified Providers, by Type of Provider, by State, Territories, Possessions, and Other Areas MDCR PROVIDERS 6. Medicare Providers: Number of Medicare Non-Institutional Providers by Specialty, Yearly Trend MDCR PROVIDERS 7. Medicare Providers: Number of Medicare Non-Institutional Providers, by State, Territories, Possessions, and Other Areas, Yearly Trend

In 2023, there were ***** community hospitals (general acute care) in the United States. The largest portion of these hospitals were non-profit, while only around ** percent were for-profit. In recent years, there has been a decrease in the number of hospitals in the U.S. It is difficult to compare data from before 2017 due to methodology differences. However, the general trend is downwards, except for for-profit hospitals. There has been an increase in for-profit community hospitals in the last two decades.

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.

The dataset provides a list of 15 characteristics for California hospitals for State Fiscal Year 2019-20, including; Department of Health Care Access and Information (HCAI) ID, HCAI Provider Name, Designated Neonatal Intensive Care Unit status as defined by DHCS, Designated Public Hospital status, Non-designated Public Hospital, HCAI Rural Hospital status, DHCS Designated Remote Rural status, Cost–to-Charge Ratio, Wage Index Value, Wage Index Value-Adjusted for California Neutrality Factor, Unadjusted Statewide Base Rate, Wage-Adjusted Statewide Base Rate, Rehab Rate, Admin 2 190 Rate and Admin 2 199 Rate. This dataset does not include psychiatric hospitals, alcohol and drug rehabilitation facilities, or designated public hospitals.

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.

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.

This dataset provides a list of 10 characteristics for California border hospitals, including: Name, City, State, Designated Neonatal Intensive Care Unit status, Remote Rural Status, Cost-to-Charge Ratio, Wage-Index Value, Wage-Index Value Adjusted for California Neutrality Factor, Unadjusted Statewide Base Rate, Wage Adjusted Statewide Base Rate. This dataset does not include psychiatric hospitals, alcohol and drug rehabilitation facilities, and designated public hospitals.

List of Government Hospitals in Edo state by their medical zone. Data and Resources 2013 Distribution of Hospitals in Edo State.csvCSV List of dataset containing location of hospitals in Edo State. Explore Preview Download

AbstractThis feature layer describes the location of Australia’s public hospitals, operational at some point during the 2022-23 Financial Year. A public hospital is defined as a hospital included in the Australian Institute of Health and Welfare’s (AIHW) National Public Hospital Establishment (NPHE) database, for the relevant financial year.The NPHE database holds data for each public hospital in Australia, including public acute hospitals, psychiatric hospitals, drug and alcohol hospitals and dental hospitals in all states and territories. Hence, public hospitals not administered by the state and territory health authorities (hospitals operated by correctional authorities for example, and hospitals in offshore territories) are not included.For this feature layer, an NPHE hospital is only included if it was also included in the AIHW’s count of public hospitals as reported in the online Hospital Resources data tables for the relevant financial year (2022-23: https://www.aihw.gov.au/getmedia/06f2c08c-f00f-439e-b57c-9a825ffc505c/Hospital-resources-tables-2022-23.xlsx).As noted in the AIHW’s technical appendix accompanying the NPHE data, the number of public hospitals reported can be affected by administrative and/or reporting arrangements and is not necessarily a measure of the number of physical hospital buildings or campuses. For more information on the 2022-23 NPHE see: https://www.aihw.gov.au/getmedia/747ae239-e38b-45a9-8d83-0ac6a3e0726f/hospital-resources-2022-23-appendix.pdfThe original data source for the public hospital layer is not the same as the Commonwealth’s list of declared hospitals (https://www.health.gov.au/resources/publications/list-of-declared-hospitals), however, there is considerable cross-over between the NPHE and Commonwealth list. There are a small number of private hospitals in the Commonwealth list of hospitals that are treated as public hospitals by the AIHW in NPHE. For 2022-23, these hospitals are:Hawkesbury District Health Service (NSW)Northern Beaches Hospital (NSW)Mclaren Vale & Districts War Memorial Hospital Incoperated (SA)Joondalup Health Campus (WA)St John Of God Midland Public & Private Hospital (WA)CurrencyDate modified: September 2024Modification frequency: As neededData ExtentSpatial ExtentWest: 96.82°South: -43.74°East: 167.99°North: -9.14°Source InformationAustralian Institute of Health and Welfare’s (AIHW) National Public Hospital Establishment (NPHE) databaseAustralian Department of Health, Disability and Ageing: Geospatial Data HubLineage StatementA public hospital is defined as a hospital included in the Australian Institute of Health and Welfare’s (AIHW) National Public Hospital Establishment (NPHE) database, for the relevant financial year.Data DictionaryAttribute NameDescriptionOBJECTIDAutomatically Generated System IDhsib_idDepartment of Health, Disability and Ageing unique identifier for each hospitalhosp_nameHospital NamecategoryHospital typestreetStreetpcodePost CodesuburbSuburbstateState/TerritoryxcoordLongitudeycoordLatitudeContactContact: Department of Health, Disability and Ageing, geospatial@health.gov.au

State-wise list of hospitals and other required information like location, Category, Systems of Medicine, Contact Details, Area Pin Code, Email address, Website link, Specializations. The Ministry of Health and Family Welfare, Government of India has set up the National Health Portal in pursuance to the decisions of the National Knowledge Commission, to provide healthcare related information to the citizens of India.Source of the data: https://data.gov.in/resources/nin-health-faclities-geo-code-and-additional-parameters-updated-till-last-monthThis web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

The Master Facility Inventory (MFI) data collection provides a comprehensive list of hospital facilities in the United States in 1976. The criteria for inclusion were that a facility provided medical, nursing, personal, or custodial care to groups of unrelated persons on an inpatient basis and was licensed or operated by federal or state agencies. The American Hospital Association conducted the survey, supplying the resulting data to the National Center for Health Statistics in order to update its Master Facility Inventory on the number and kinds of hosptals in the United States and the changes in the list since the last MFI survey. Information gathered is for the previous calendar year and includes facility identification information, ownership, number of full- and part-time staff, number of beds per unit, number of adult and pediatric inpatients, numbers in newborn nursery, outpatient utlilization (e.g., emergency care and clinics), major and minor surgical operations, hospital classification (e.g., government, non-government, investor-owned), and finances (e.g., total revenue, expenses, and assets) for 7,271 institutions.

The CMS Program Statistics - Medicare Inpatient Hospital tables provide use and payment data for all inpatient hospitals, including short-stay hospitals, critical access hospitals, long term care hospitals, inpatient psychiatric facilities, inpatient rehabilitation facilities, religious nonmedical health care institutions, children’s hospitals, and other hospitals.

For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.

These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data.

Below is the list of tables:

MDCR INPT HOSP 1. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 2. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR INPT HOSP 3. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 4. All Medicare Inpatient Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital MDCR INPT HOSP 5. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR INPT HOSP 6. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment MDCR INPT HOSP 7. Medicare IPPS Short Stay Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR INPT HOSP 8. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Type of Entitlement and Total Days of Care MDCR INPT HOSP 9. Medicare IPPS Short Stay Hospitals: Utilization and Program Payments for Original Medicare Beneficiaries, by Location and Bedsize of Hospitals, by Medical School Affiliation, and Type of Control MDCR INPT HOSP 10. Special-Category Hospitals: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Hospital

AdventHealth Orlando in Florida stands as the largest hospital in the United States, boasting an impressive 2,247 beds as of August 2024. This expansive facility exemplifies the scale of modern healthcare infrastructure, with Jackson Memorial Hospital, also in Florida, following as the second-largest. Evolving landscape of U.S. hospitals Despite the decline in the total number of hospitals since 1980, the healthcare sector continues to grow in other ways. U.S. hospitals now employ about 7.5 million workers and generate a gross output of around 1,161 billion U.S. dollars. The Hospital Corporation of America, based in Nashville, Tennessee, leads the pack as the largest health system in the country, operating 222 hospitals as of February 2025. This reflects a trend towards consolidation and the rise of for-profit hospital chains, which gained prominence in the 1990s. Specialization and emergency care While bed count is one measure of hospital size, institutions also distinguish themselves through specialization and emergency care capabilities. For instance, the University of California at Los Angeles Medical Center performed 22,287 organ transplants between January 1988 and March 2025, making it the leading transplant center in the nation. In terms of emergency care, Parkland Health and Hospital System in Dallas recorded the highest number of emergency department visits in 2022, with 226,178 patients seeking urgent care.

Analysis of ‘Hospital Characteristics List for California Border Providers’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/82e4911e-2a75-4a12-8927-b870df3e9dfd on 26 January 2022.

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

This dataset provides a list of 10 characteristics for California border hospitals, including: Name, City, State, Designated Neonatal Intensive Care Unit status, Remote Rural Status, Cost-to-Charge Ratio, Wage-Index Value, Wage-Index Value Adjusted for California Neutrality Factor, Unadjusted Statewide Base Rate, Wage Adjusted Statewide Base Rate. This dataset does not include psychiatric hospitals, alcohol and drug rehabilitation facilities, and designated public hospitals.

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

VHA hospitals Timely Care Data

Performance on Clinical Measures and Processes of Care

By US Open Data Portal, data.gov [source]

About this dataset

This dataset provides an inside look at the performance of the Veterans Health Administration (VHA) hospitals on timely and effective care measures. It contains detailed information such as hospital names, addresses, census-designated cities and locations, states, ZIP codes county names, phone numbers and associated conditions. Additionally, each entry includes a score, sample size and any notes or footnotes to give further context. This data is collected through either Quality Improvement Organizations for external peer review programs as well as direct electronic medical records. By understanding these performance scores of VHA hospitals on timely care measures we can gain valuable insights into how VA healthcare services are delivering values throughout the country!

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How to use the dataset

This dataset contains information about the performance of Veterans Health Administration hospitals on timely and effective care measures. In this dataset, you can find the hospital name, address, city, state, ZIP code, county name, phone number associated with each hospital as well as data related to the timely and effective care measure such as conditions being measured and their associated scores.

To use this dataset effectively, we recommend first focusing on identifying an area of interest for analysis. For example: what condition is most impacting wait times for patients? Once that has been identified you can narrow down which fields would best fit your needs - for example if you are studying wait times then “Score” may be more valuable to filter than Footnote. Additionally consider using aggregation functions over certain fields (like average score over time) in order to get a better understanding of overall performance by factor--for instance Location.

Ultimately this dataset provides a snapshot into how Veteran's Health Administration hospitals are performing on timely and effective care measures so any research should focus around that aspect of healthcare delivery

Research Ideas

• Analyzing and predicting hospital performance on a regional level to improve the quality of healthcare for veterans across the country.
• Using this dataset to identify trends and develop strategies for hospitals that consistently score low on timely and effective care measures, with the goal of improving patient outcomes.
• Comparison analysis between different VHA hospitals to discover patterns and best practices in providing effective care so they can be shared with other hospitals in the system

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: csv-1.csv | Column name | Description | |:-----------------------|:-------------------------------------------------------------| | Hospital Name | Name of the VHA hospital. (String) | | Address | Street address of the VHA hospital. (String) | | City | City where the VHA hospital is located. (String) | | State | State where the VHA hospital is located. (String) | | ZIP Code | ZIP code of the VHA hospital. (Integer) | | County Name | County where the VHA hospital is located. (String) | | Phone Number | Phone number of the VHA hospital. (String) | | Condition | Condition being measured. (String) | | Measure Name | Measure used to measure the condition. (String) | | Score | Score achieved by the VHA h...

US Healthcare Readmissions and Mortality

Evaluating Hospital Performance

By Health [source]

About this dataset

This dataset contains detailed information about 30-day readmission and mortality rates of U.S. hospitals. It is an essential tool for stakeholders aiming to identify opportunities for improving healthcare quality and performance across the country. Providers benefit by having access to comprehensive data regarding readmission, mortality rate, score, measure start/end dates, compared average to national as well as other pertinent metrics like zip codes, phone numbers and county names. Use this data set to conduct evaluations of how hospitals are meeting industry standards from a quality and outcomes perspective in order to make more informed decisions when designing patient care strategies and policies

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How to use the dataset

This dataset provides data on 30-day readmission and mortality rates of U.S. hospitals, useful in understanding the quality of healthcare being provided. This data can provide insight into the effectiveness of treatments, patient care, and staff performance at different healthcare facilities throughout the country.

In order to use this dataset effectively, it is important to understand each column and how best to interpret them. The ‘Hospital Name’ column displays the name of the facility; ‘Address’ lists a street address for the hospital; ‘City’ indicates its geographic location; ‘State’ specifies a two-letter abbreviation for that state; ‘ZIP Code’ provides each facility's 5 digit zip code address; 'County Name' specifies what county that particular hospital resides in; 'Phone number' lists a phone contact for any given facility ;'Measure Name' identifies which measure is being recorded (for instance: Elective Delivery Before 39 Weeks); 'Score' value reflects an average score based on patient feedback surveys taken over time frame listed under ' Measure Start Date.' Then there are also columns tracking both lower estimates ('Lower Estimate') as well as higher estimates ('Higher Estimate'); these create variability that can be tracked by researchers seeking further answers or formulating future studies on this topic or field.; Lastly there is one more measure oissociated with this set: ' Footnote,' which may highlight any addional important details pertinent to analysis such as numbers outlying National averages etc..

This data set can be used by hospitals, research facilities and other interested parties in providing inciteful information when making decisions about patient care standards throughout America . It can help find patterns about readmitis/mortality along county lines or answer questions about preformance fluctuations between different hospital locations over an extended amount of time. So if you are ever curious about 30 days readmitted within US Hospitals don't hesitate to dive into this insightful dataset!

Research Ideas

• Comparing hospitals on a regional or national basis to measure the quality of care provided for readmission and mortality rates.
• Analyzing the effects of technological advancements such as telemedicine, virtual visits, and AI on readmission and mortality rates at different hospitals.
• Using measures such as Lower Estimate Higher Estimate scores to identify systematic problems in readmissions or mortality rate management at hospitals and informing public health care policy

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - Keep intact - all notices that refer to this license, including copyright notices.

Columns

File: Readmissions_and_Deaths_-_Hospital.csv | Column name | Description | |:-------------------------|:---------------------------------------------------------------------------------------------------| | Hospital Name ...

The Medi-Cal Electronic Health Record (EHR) Incentive Program makes payments to eligible Medi-Cal providers. This dataset displays a list of Eligible Hospitals that have been paid Via the Medi-Cal Incentive Program and includes National Provider Identifiers, payment dates, payment and program years of Medicaid eligible professionals (EPs) and eligible hospitals (EHs) that have successfully demonstrated Adopt, Implement, or Upgrade (A/I/U) and received a payment.