The number of hospital beds in Sweden decreased during the period from 2000 to 2022. In 2022, there were almost 20 thousand hospital beds in Sweden. During these years, the majority of the hospital beds were in public sector-owned hospitals. In 2020, the public sector had two beds per thousand inhabitants, while the private sector had 0.2 beds per thousand inhabitants.Health care expenditure The total expenditure on health care in Sweden, as share of the gross domestic product (GDP) was overall higher from 2011 on. The share was relatively stable during the following period, with some fluctuations, and reached almost 11 percent in 2023, which was relatively high compared to in other OECD member countries.  Hospital beds in Denmark showed similar trend Sweden’s neighboring country Denmark basically followed the same pattern in the number of hospital beds. The hospital beds in Denmark generally decreased between 2010 and 2023, from over 20 thousand beds in 2010 to around an estimated 14.5 thousand in 2023.

Nepal Number of Hospital Beds data was reported at 7,748.000 Unit in 2016. This records an increase from the previous number of 7,640.000 Unit for 2015. Nepal Number of Hospital Beds data is updated yearly, averaging 6,796.000 Unit from Jul 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 7,748.000 Unit in 2016 and a record low of 3,604.000 Unit in 1996. Nepal Number of Hospital Beds data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s Nepal – Table NP.G021: Health Statistics.

In 2022, the North Central and Central coastal areas had the highest number of public patient beds at ********The region also had the highest number of non-public patient beds at ***** in Vietnam. In the same year, there were ******* public and ****** non-public patient beds in Vietnam in total.

Number of Hospital Beds: General Hospitals: Indonesian National Army/Indonesian Police data was reported at 17,482.000 Unit in 2018. This records an increase from the previous number of 17,091.000 Unit for 2017. Number of Hospital Beds: General Hospitals: Indonesian National Army/Indonesian Police data is updated yearly, averaging 10,922.500 Unit from Dec 1995 (Median) to 2018, with 24 observations. The data reached an all-time high of 21,887.000 Unit in 2015 and a record low of 10,718.000 Unit in 2003. Number of Hospital Beds: General Hospitals: Indonesian National Army/Indonesian Police data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Socio and Demographic – Table ID.GAF005: Number of Hospital Beds.

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

• 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, hospital inpatient and ICU bed capacity and occupancy among hospitals within the selected HSA. Therefore, admissions, capacity, and occupancy are not limited to residents of the selected HSA.
• For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.
• For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.

• Time period: data for the previous MMWR week (Sunday-Saturday) will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
• New hospital admissions (count): Total number of admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction
• New Hospital Admissions Rate Value (Admissions per 100k): Total number of new admissions of patients with laboratory-confirmed COVID-19 in the past week (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000. (Note: This metric is used to determine each county’s COVID-19 Hospital Admissions Level for a given week).
• New COVID-19 Hospital Admissions Rate Level: qualitative value of new COVID-19 hospital admissions rate level [Low, Medium, High, Insufficient Data]
• New hospital admissions percent change from prior week: Percent change in the current weekly total new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week.
• New hospital admissions percent change from prior week level: Qualitative value of percent change in hospital admissions rate from prior week [Substantial decrease, Moderate decrease, Stable, Moderate increase, Substantial increase, Insufficient data]
• COVID-19 Inpatient Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the in the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (patients hospitalized with confirmed COVID-19) and denominators (staffed inpatient beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 Inpatient Bed Occupancy Level: Qualitative value of inpatient beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data]
• COVID-19 Inpatient Bed Occupancy percent change from prior week: The absolute change in the percent of staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past week, compared with the prior week, in the entire jurisdiction.
• COVID-19 ICU Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (adult patients hospitalized with confirmed COVID-19) and denominators (staffed adult ICU beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction.
• COVID-19 ICU Bed Occupancy Level: Qualitative value of ICU beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data]
• COVID-19 ICU Bed Occupancy percent change from prior week: The absolute change in the percent of staffed ICU beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed adult ICU beds for the past week, compared with the prior week, in the in the entire jurisdiction.
• For all metrics, if there are no data in the specified locality for a given week, the metric value is displayed as “insufficient data”.

Notes: June 15, 2023: Due to incomplete or missing hospital data received for the June 4, 2023, through June 10, 2023, reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and AS and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on June 15, 2023.

July 10, 2023: Due to incomplete or missing hospital data received for the June 25, 2023, through July 1, 2023, reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and AS and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on July 10, 2023.

July 17, 2023: Due to incomplete or missing hospital data received for the July 2, 2023, through July 8, 2023, reporting

Hospital Beds in Ireland increased to 2.89 per 1000 people in 2023 from 2.88 per 1000 people in 2022. This dataset includes a chart with historical data for Ireland Hospital Beds.

No of Hospital Bed: North West: Liguria: Long Term Care data was reported at 330.000 Unit in 2015. This records an increase from the previous number of 180.000 Unit for 2014. No of Hospital Bed: North West: Liguria: Long Term Care data is updated yearly, averaging 47.000 Unit from Dec 1993 (Median) to 2015, with 23 observations. The data reached an all-time high of 394.000 Unit in 1994 and a record low of 0.000 Unit in 2008. No of Hospital Bed: North West: Liguria: Long Term Care data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s Italy – Table IT.Eurostat: Health Care Statistics: Number of Hospital Bed.

This dataset compiles daily counts of patients (both COVID-related and non-COVID-related) in adult and pediatric ICU beds and the number of adult and pediatric ICU beds that are unoccupied. As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm. Data includes: * date * number of adults in ICU for COVID-related critical illness (CRCI) * number of adults in ICU for non-CRCI reasons * number of adult ICU beds that are unoccupied * total number of adults in ICU for any reason * number of patients in pediatric ICU for COVID-related critical illness (CRCI) * number of patients in pediatric ICU beds for non-CRCI reasons * number of pediatric ICU beds that are unoccupied * total number of patients in pediatric ICU beds for any reason **These results may not match the CRCI cases in ICU reported elsewhere (on Ontario.ca) as they are restricted to either adults only or pediatric patients only and do not include cases in other ICU bed types. * ICU data includes patients in levels 2 and 3 adult or pediatric ICU beds. The reported numbers reflect the previous day’s values. Patients are counted at a single point in time (11:59 pm) to ensure that each person is only counted once, and their COVID status is updated at 6 am, prior to posting. This may vary slightly from similar sources who update at different times. * COVID-related critical illness (CRCI) includes patients currently testing positive for COVID and patients in ICU due to COVID who are no longer testing positive for COVID. * Since the start of the pandemic, the province has invested in “incremental” ICU beds to accommodate potential surges in ICU demand due to COVID. These beds were added at various points in time (i.e., October 2020, February 2021, April 2021) to ensure system preparedness and meet operational needs. Aligned with the decline of Wave 3 and COVID-related pressures and at the direction of Ontario Health, a number of these beds were brought offline in July 2021. These events account for the sudden increases and/or decreases in ICU beds seen in the data. The number of ICU beds continues to fluctuate slightly as beds are brought on and offline to meet localized demands/need. ##Modifications to this data Data for the period of October 24, 2023 to March 24, 2024 excludes hospitals in the West region who were experiencing data availability issues. Daily adult, pediatric, and neonatal patient ICU census data were impacted by technical issues between September 9 and October 20, 2023. As a result, when public reporting resumes on November 16, 2023, historical ICU data for this time period will be excluded. January 18, 2022: Information on pediatric ICU beds was added to the file for the period of May 2020 to present. January 7, 2022: Due to some methodology changes, historical data were impacted during the following timeframes: * May 1, 2020 to October 22, 2020. * February 19, 2021 to July 26, 2021. ###How the data was impacted To ensure system preparedness throughout the pandemic, hospitals were asked to identify the number of beds (i.e., non-ICU beds) and related resources that could be made available within 24 hours for use as an ICU bed in case of a surge in COVID patients. These beds were considered expanded ICU capacity and were not used to calculate hospitals’ ICU occupancy. These beds were previously included in this data. The current numbers include only funded ICU beds based on data from the Critical Care Information System (CCIS).

In 2021, the number of hospital beds in Lithuania remained nearly unchanged at around 16,957 units. Find more key insights for the number of hospital beds in countries like Denmark, Sweden, and Hungary.

Pakistan Number of Beds: Health Institution: Total data was reported at 123,394.000 Unit in 2016. This records an increase from the previous number of 119,548.000 Unit for 2015. Pakistan Number of Beds: Health Institution: Total data is updated yearly, averaging 103,161.000 Unit from Jun 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 123,394.000 Unit in 2016 and a record low of 92,174.000 Unit in 1999. Pakistan Number of Beds: Health Institution: Total data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.G012: Health Statistics: Number of Health Institutions, Beds and Personnel.

The average number of hospital beds available per 1,000 people in Brazil was forecast to continuously increase between 2024 and 2029 by in total 0.1 beds (+4.02 percent). After the seventh consecutive increasing year, the number of available beds per 1,000 people is estimated to reach 2.57 beds and therefore a new peak 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).

Forecast: Number of Hospital Beds in Czech Republic 2022 - 2026 Discover more data with ReportLinker!

Number of Bed in Hospital & Health Center: Yunnan: Wenshan data was reported at 8,528.000 Unit in 2010. This records an increase from the previous number of 6,870.000 Unit for 2009. Number of Bed in Hospital & Health Center: Yunnan: Wenshan data is updated yearly, averaging 5,541.500 Unit from Dec 2005 (Median) to 2010, with 6 observations. The data reached an all-time high of 8,528.000 Unit in 2010 and a record low of 4,574.000 Unit in 2005. Number of Bed in Hospital & Health Center: Yunnan: Wenshan data remains active status in CEIC and is reported by Wenshan Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Socio-Demographic – Table CN.GS: Number of Bed in Hospital & Health Center: Prefecture Level Region.

In 2022, Chile had more than 36,000 curative care beds in hospitals, representing the highest number of hospital beds in the South American country. Curative care beds include hospital beds for injury or illness treatment, surgery, or diagnostics. Meanwhile, the number of long-term care beds available amounted to around 112. That same year, approximately 322 hospitals provided medical services in Chile.

Liberia LR: Hospital Beds: per 1000 People data was reported at 0.800 Number in 2010. This records an increase from the previous number of 0.700 Number for 2009. Liberia LR: Hospital Beds: per 1000 People data is updated yearly, averaging 1.322 Number from Dec 1960 (Median) to 2010, with 5 observations. The data reached an all-time high of 1.647 Number in 1975 and a record low of 0.700 Number in 2009. Liberia LR: 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 Liberia – Table LR.World Bank: 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;

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures:

2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

2020 and earlier: All available figures are definite.

Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

When will new figures be published? New figures will be published in December 2025.

On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data. The complete Data Set of annual utilization data reported by hospitals contains basic licensing information including bed classifications; patient demographics including occupancy rates, the number of discharges and patient days by bed classification, and the number of live births; as well as information on the type of services provided including the number of surgical operating rooms, number of surgeries performed (both inpatient and outpatient), the number of cardiovascular procedures performed, and licensed emergency medical services provided.

This statistic displays the number of surgical operations in registered hospitals in the United States in 2019, categorized by the number of beds. During this year, there were over 1.84 million surgical operations in registered hospitals with 25 to 49 beds. The majority of registered hospitals in the United States are considered community hospitals.

Finland - Number of bed-places: Cities was 63420.00 in December of 2020, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Finland - Number of bed-places: Cities - last updated from the EUROSTAT on June of 2025. Historically, Finland - Number of bed-places: Cities reached a record high of 63420.00 in December of 2020 and a record low of 51447.00 in December of 2012.

The number of hospitals in Panama has remained relatively stable in recent years. In 2022, there were 63 hospitals in the Central American country, up from 62 hospitals recorded in the previous year. During the same time period, the total number of health institutions in Panama has been declining.