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.

Since 2005, the Diagnosis Related Groups (DRG) statistics have provided annual information on morbidity events and morbidity trends in inpatient care, as well as on the volume and structure of demand for services, over and above the existing official hospital statistics. In particular, type of illness, case-flat-rate hospital statistic (DRGs), operations and procedures as well as length of stay and department are collected.

The aggregated data are freely accessible.

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.

Diagnosis data of patients and patients in hospitals.

The hospital diagnosis statistics are part of the hospital statistics and have been collected annually from all hospitals since 1993. The statistics include information on the main diagnosis (coded according to ICD-10), length of stay, department and selected sociodemographic characteristics such as age, gender and place of residence, among others.

Basic data of hospitals and preventive care or rehabilitation facilities.

The basic data statistics are part of the hospital statistics. The material and personnel resources of hospitals and preventive or rehabilitation facilities and their specialist departments have been reported annually since 1990.

The aggregated data are freely accessible.

From the Web site: The American Hospital Directory® provides data, statistics, and analytics about more than 7,000 hospitals nationwide. AHD.com® hospital information includes both public and private sources such as Medicare claims data, hospital cost reports, and commercial licensors. AHD® is not affiliated with the American Hospital Association (AHA) and is not a source for AHA Data. Our data are evidence-based and derived from the most definitive sources.

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

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.

In an increasingly digital world, healthcare systems have been transforming rapidly to provide efficient, accessible, and transparent services to patients. Central to this transformation in India are four crucial indicators: On Boarded Hospitals, e-Hospital Transactions, ORS Enabled Hospitals, and ORS Appointments. These indicators not only represent the digitization of healthcare services but also play a significant role in improving patient experiences across the country. eHospital is a digital platform designed to streamline and improve healthcare services. It acts as a bridge between patients, hospitals, and healthcare providers. Through eHospital, individuals can access various healthcare-related services online, such as scheduling appointments, viewing lab reports, checking blood availability, and even paying medical bills. This digital approach aims to reduce the hassle of traditional in-person visits, enhance accessibility, and improve overall patient experience.

Hospital Episodes Statistics (HES) is a data warehouse containing records of all patients admitted to NHS hospitals in England. It contains details of inpatient care and outpatient appointments. Hospital episode statistics (HES) statistics are produced and published on a monthly basis. The data are provisional and should therefore be treated as an estimate until the final National Statistics annual publications.

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;

The Hospital Statistics publication shows activity data analysed by Programme of Care. Specialty tables covering both inpatients and outpatients along with a Key Points document showing comparisons over the previous five years are also published.

Source agency: Health, Social Service and Public Safety (Northern Ireland)

Designation: National Statistics

Language: English

Alternative title: Hospital Statistics

Data on hospital admission, average length of stay, outpatient visits, and outpatient surgery in the United States, by type of ownership and size of hospital. Data are from Health, United States. SOURCE: American Hospital Association (AHA) Annual Survey of Hospitals, Hospital 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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

• inpatient_beds_used_covid_7_day_avg
• inpatient_beds_used_covid_7_day_sum
• inpatient_beds_used_covid_7_day_coverage

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

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

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

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

Hospital Episodes Statistics (HES) is a data warehouse containing records of all patients admitted to NHS hospitals in England. It contains details of every hospital stay in English NHS Hospitals and English NHS commissioned activity in the independent sector. The Kennedy report recommended that HES should be "supported as a major national resource for the monitoring of a range of healthcare outcomes". Note: (04/02/13) An update to the Hospital Episode Statistics: Admitted Patient Care 2011-12 Summary Report has been published. Chart 3 has been updated to include 2011-12 data. Note: (28/01/13) An update to the Hospital Episode Statistics: Admitted Patient Care 2011-12 Summary Report has been published. This updates and corrects the 2011-12 figure for bariatric surgery for obesity to include new OPCS 4.6 procedure codes that were introduced in April 2011

This dataset contains Mortality Statistics for years 2015 and 2016 from Quality Based Reimbursement (QBR) Program for hospitals in Maryland. It includes Hospital ID, Hospital Name, Mortality Rate, Ratio of Observed to Predicted Mortality Rate, Risk Adjusted Mortality and Survival Rates, Number of Dead and time period covered for the data collected.

Provide our country's hospital bed data for public use.

🇩🇪 독일 English Number of hospitals, beds set up, number of cases, Calculation and occupancy days, length of stay and Bed use (from 2002). Retrieval of the table from the state database of North Rhine-Westphalia: https://www.landesdatenbank.nrw.de/ldbnrw/online?operation=result&code=23111-06i&zeitscheiben=50&regionalschluessel=05315* Short description Hospital statistics - basic data of hospitals gives Information on health care infrastructure in NRW. Departments of hospitals, number of Beds, length of stay and number of patients treated and of the working staff are central information that collected annually. The data is provided the administrative data of the hospitals. Spatial the data are differentiated up to the level of cities and districts.

The Institutional Cost Report (ICR) is a uniform report completed by New York hospitals to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations, (Part 86-1.2), Article 28 hospitals are required to file financial and statistical data with DOH annually. The data filed is part of the ICR and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends. The ICR is a comprehensive compilation of exhibits that have been modified over time that users should consider when using the ICR dataset. It is possible that data is updated subsequent to posting on this website; therefore the data could become obsolete. To get the details related to the exhibits and data elements, please refer to the blank ICR form, the ICR Table of Contents, the ICR Instructions and the Glossary of Terms, Acronyms, and Abbreviations which are in the Supporting Information section of this site. The data posted as edited contains desk edit adjustments by DOH personnel. In 2009, this information was not audited; however effective with the 2010 ICR, all ICRs will be audited by a Certified Public Accounting Firm annually.

California Birth Report totals by Birth Characteristics to inform the public, stakeholders, and researchers. The DHCS Medi-Cal Birth Statistics tables present the descriptive statistics for California resident births that occurred in a hospital setting, including data on maternal characteristics, delivery methods, and select birth outcomes such as low birthweight and preterm delivery. Tables also include key comorbidities and health behaviors known to influence birth outcomes, such as hypertension, diabetes, substance use, pre-pregnancy weight, and smoking during pregnancy. DHCS additionally presents birth statistics for women participating in the Medi-Cal Fee-For-Service (FFS) and managed care delivery systems, as well as births financed by private insurance, births financed by other public funding sources, and births among uninsured mothers. Medi-Cal data reflect mothers that were deemed as Medi-Cal certified eligible. Note: Data for maternal comorbidities including hypertension, diabetes, and substance use have been provisionally omitted among calendar years 2020-2022 for the time being.