In 2023, there were, on average, 561 hospital inpatient days per 1,000 population in the United States. The number of hospital inpatient days per capita varied widely between the states. Inhabitants in the District of Columbia had the highest rates at 1.3 hospital inpatient days per person, while there were just 0.3 inpatient days per person in Idaho.

Inpatient primary health care, care days per 1000 inhabitants Tables Inpatient Primary Health Care Care Days Per 1000 InhabitantsTSV The indicator gives the number of care days during the year for all patients who have received hospital care in primary health care per thousand inhabitants. Population figures refer to mean population. The indicator covers hospital care in the public sector (municipalities, joint municipal boards and the state), as well as in private sector hospitals. It covers municipal health-centre wards led by general practitioners and GP-level inpatient care acquired by municipalities/joint municipal boards from elsewhere. Care days during the year refers to all care days falling within the calendar year. The number of care days is calculated as the difference between the date of discharge (or 31 Dec) and the date of admission (or 1 Jan), that is, excluding the day of discharge. If the date of...

In 2023, community hospitals in the United States had an average of 2.3 beds per 1,000 population. The share of community hospital beds ranged from 1.6 to 4.9 beds per 1,000 persons across the country. The number of community hospital beds per 1,000 population in the United States decreased slightly from 2000 to 2023.

In the 2024 fiscal year, a total of ***** million patient days were recorded in U.S. hospitals. California hospitals recorded the highest total annual number of patient days, with over ** million days. On the other hand, Wyoming hospitals recorded only *** thousand patient days during that period.

Specialised somatic inpatient health care, care days per 1000 inhabitants Tables Specialised Somatic Inpatient Health Care Care Days Per 1000 InhabitantsTSV The indicator gives the number of care days during the year for all patients in specialised somatic health care per thousand inhabitants. Population figures refer to mean population. The indicator covers hospital care in the public sector (municipalities, joint municipal boards and the state), as well as in private sector hospitals. 'Somatic' implies that psychiatric hospitals are not included. 'Specialised' implies that municipal health-centre inpatient wards are not included, with the exception of specialist-led health-centre wards. Hospital care includes deliveries. Care days during the year refers to all care days falling within the calendar year. The number of care days is calculated as the difference between the date of discharge (or 31 Dec) and the date of admission (or 1 Jan),...

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.

Graph and download economic data for Total Inpatient Days for Hospitals, All Establishments (INPAT622ALLEST176QNSA) from Q4 2004 to Q1 2025 about hospitals, establishments, and USA.

DHA82 - Inpatient Hospital Bed Days by Principal Diagnosis and Area. Published by Department of Health. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Inpatient Hospital Bed Days by Principal Diagnosis and Area...

In 2023, there were over **** million hospital admissions in the United States. The number of hospitals in the U.S. has decreased in recent years, although the country faces an increasing elder population. Predictably, the elderly account for the largest share of hospital admissions in the U.S. Hospital stays Stays in hospitals are more common among females than males, with around *** percent of females reporting one or more hospital stays in the past year, compared to *** percent of males. Furthermore, **** percent of those aged 65 years and older had a hospitalization in the past year, compared to just *** percent of those aged 18 to 44 years. The average length of a stay in a U.S. hospital is *** days. Hospital beds In 2022, there were ******* hospital beds in the U.S. In the past few years, there has been a decrease in the number of hospital beds available. This is unsurprising given the decrease in the number of overall hospitals. In 2021, the occupancy rate of hospitals in the U.S. was ** percent.

Psychiatric inpatient care, care days per 1000 inhabitants Tables Psychiatric Inpatient Care Care Days Per 1000 InhabitantsTSV The indicator gives the number of care days during the year for all patients who have received psychiatric hospital care per thousand inhabitants. Population figures refer to mean population. The indicator covers psychiatric inpatients wards in the public sector (municipalities, joint municipal boards and the state). No psychiatric inpatient care is provided in the private sector. Care days during the year refers to all care days falling within the calendar year. The number of care days is calculated as the difference between the date of discharge (or 31 Dec) and the date of admission (or 1 Jan), that is, excluding the day of discharge. If the date of discharge and the date of admission are identical, the number of care days will be one.Population proportions are calculated at THL based...

DHA81 - Inpatient Hospital Bed Days by Principal Diagnosis and Age Group. Published by Department of Health. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Inpatient Hospital Bed Days by Principal Diagnosis and Age Group...

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.

In 2022, the rate of hospital inpatient stays in the United States averaged to some ** stays per 1,000 population. The rate of hospitalization by age shows that rates were far ****** among older age groups. During the reported time period, the overall rate of hospitalization was **********.

The Agency for Healthcare Research and Quality (AHRQ, formerly the Agency for Health Care Policy and Research) maintains the Healthcare Cost and Utilization Project (HCUP). HCUP is a Federal-State-industry partnership to build a standardized, multi-State health data system. AHRQ has taken the lead in developing HCUP databases, Web-based products, and software tools and making them available for restricted access public release.

HCUP comprises a family of administrative longitudinal databases-including State-specific hospital-discharge databases and a national sample of discharges from community hospitals.

HCUP databases contain patient-level information compiled in a uniform format with privacy protections in place. * The Nationwide Inpatient Sample (NIS) includes inpatient data from a national sample (about 20% of U.S. community hospitals) including roughly 7 million discharges from about 1,000 hospitals. It is the largest all-payer inpatient database in the U.S.; data are now available from 1988-1998. The NIS is ideal for developing national estimates, for analyzing national trends, and for research that requires a large sample size. * The State Inpatient Databases (SID) cover individual data sets in community hospitals from 22 participating States that represent more than half of all U.S. hospital discharges. The data have been translated into a uniform format to facilitate cross-State comparisons. The SID are particularly well-suited for policy inquiries unique to a specific State, studies comparing two or more States, market area research, and small area variation analyses.

• The State Ambulatory Surgery Databases (SASD) contain data from ambulatory care encounters in 9 participating States. The SASD capture surgeries performed on the same day in which patients are admitted and released form hospital- affiliated ambulatory surgery sites. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within market areas and States.

• The project's newest restricted access public release is the Kids' Inpatient Database (KID), containing hospital inpatient stays for children 18 years of age and younger. Researchers and policymakers can use the KID to identify, track, and analyze national trends in health care utilization, access, charges, quality, and outcomes. The KID is the only all-payer inpatient care database for children in the U.S. It contains data from approximately 1.9 million hospital discharges for children. The data are drawn from 22 HCUP 1997 State Inpatient Databases and include a sample of pediatric general discharges from over 2,500 U.S. community hospitals (defined as short-term, non-Federal, general and specialty hospitals, excluding hospital units of other institutions). A key strength of the KID is that the large sample size enables analyses of both common and rare conditions; uncommon treatments, and organ transplantation. The KID also includes charge information on all patients, regardless of payer, including children covered by Medicaid, private insurance, and the uninsured.

  HCUP also contains powerful, user-friendly software that can be used with both HCUP data and with other administrative databases. The AHRQ has developed three powerful software tools Quality Indicators (QIs), Clinical Classification Software (CCS) and HCUPnet. See more on the agency's webpages.

Hospital bed density varies significantly across countries, with South Korea and Japan leading the pack at over ** beds per 1,000 population in 2022. This stark contrast becomes apparent when compared to countries like the United States, which reported just **** beds per 1,000 people. These figures highlight the disparities in healthcare infrastructure and capacity among nations, potentially impacting their ability to respond to health crises and provide adequate care. Global trends in hospital bed density While some countries maintain high bed densities, others have experienced declines over time. Canada, for instance, saw its hospital bed rate decrease from **** per 1,000 inhabitants in 1980 to **** in 2022, mirroring trends seen in other developed nations. Similarly, Russia's hospital bed density fell from ** beds per 10,000 inhabitants in 2012 to ** beds per 10,000 in 2023. These reductions may reflect changes in healthcare delivery models and efficiency improvements. Regional variations and healthcare implications Despite having one of the highest bed densities globally, Japan has seen a slight decrease in recent years, from ***** beds per 100,000 inhabitants in 2014 to ******* in 2023. However, Japan still maintains a high capacity, which supports its notably long average hospital stay of **** days in 2022. In contrast, Brazil reported just under *** beds per 1,000 inhabitants in 2022, highlighting the significant disparities that exist between countries and regions in terms of healthcare infrastructure and potential impacts on patient care.

Inpatient primary health care, care days for those aged 75 and over per 1000 persons of same age

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.

DHA120 - Inpatient Hospital Bed Days by All-Listed Procedures and Age Group. Published by Department of Health. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Inpatient Hospital Bed Days by All-Listed Procedures and Age Group...

This statistic displays the distribution of selected key hospital demographics in the United States as of 2017. During this year, almost ** percent of acute care hospitals were not-for-profit hospitals. U.S. hospital key demographicsThere has been an increase in the number of patients as well as the medical costs at hospitals. In 1997, the rate of stays per 1,000 people was *****. In 2009, the rate increased to ***** stays per 1,000 people. The average cost per stay had also increased from ***** U.S. dollars in 1997 to ***** U.S. dollars in 2009. Overall hospital revenues in the United States has increased from ***** billion U.S. dollars in 2009 to *** billion U.S. dollars in 2014. Specialty hospitals have also managed to increase their revenues from ***** billion U.S. dollars in 2009 to ** billion U.S. dollars in 2014. Small specialized hospitals focusing on cardiac, orthopedic, or surgical services have increased in the United States but tend to aggregate in only some states. These hospitals may be able to provide cost efficient work, allow for more patient choice, and increase quality of health care services. However, specialty hospitals have also been criticized for providing patients with services that encourage overutilization and also unfairly focusing on the wealthiest patients.

This statistical operation, based on the Minimum Basic set of data of hospital discharges and Specialised Care (CMBD-AE), allows to know the diseases or situations that require attention in the hospital environment, as support for planning, evaluation and epidemiological studies.