In 2022, the occupancy rate of hospitals in the U.S. stood at ** percent. In the recorded time period, the highest occupancy rate was **** percent back in 1969. Hospital occupancy rate has mostly decreased since then, even though the number of hospital beds has also decreased. In 2020, during the COVID pandemic, occupancy rate reached a historical low of **** percent. The last time this occurred was in 1996. Number of hospitals In 2022, there were around ***** hospitals in operation in the U.S., compared to ***** hospitals in the year 1995. There has been a decline in the number of hospitals in the U.S. starting as far back as the 1970s, despite a growing overall population and increasing elderly population. Most hospitals in the U.S. are non-profit, while a smaller proportion are for-profit or state/government hospitals. Economic impact Hospitals contribute to an economy in many ways. In 2020, this total contribution in the U.S. was around *** trillion dollars. At that time, hospitals contributed over *** trillion dollars in wages and salaries. As of 2022, there were an estimated **** million people employed in hospitals across the United States.

In 2021, the occupancy rate of curative (acute) care beds in hospitals in Canada was almost 87 percent. In the year 2000, Canada had an acute care bed occupancy rate of around 89 percent. High occupancy rates may be a sign that a health system is under pressure and that there may be a risk of bed shortages and higher rates of infection. This statistic shows the occupancy rates of acute care beds in hospitals in select countries worldwide in 2010 and 2021.

Hospital bed occupancy rates by type of bed.......

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.

Bed Occupancy Rate: Emergency Department: Banten: Tangerang Municipality data was reported at 0.000 % in 09 Oct 2022. This stayed constant from the previous number of 0.000 % for 08 Oct 2022. Bed Occupancy Rate: Emergency Department: Banten: Tangerang Municipality data is updated daily, averaging 0.000 % from Aug 2021 (Median) to 09 Oct 2022, with 369 observations. The data reached an all-time high of 27.907 % in 12 Aug 2021 and a record low of 0.000 % in 09 Oct 2022. Bed Occupancy Rate: Emergency Department: Banten: Tangerang Municipality data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLA020: Hospital Bed Occupancy Rate: Emergency Department: by Regency/Municipality (Discontinued).

Bed Occupancy Rate: Emergency Department: Central Kalimantan: Palangka Raya Municipality data was reported at 0.000 % in 09 Oct 2022. This stayed constant from the previous number of 0.000 % for 08 Oct 2022. Bed Occupancy Rate: Emergency Department: Central Kalimantan: Palangka Raya Municipality data is updated daily, averaging 0.000 % from Aug 2021 (Median) to 09 Oct 2022, with 370 observations. The data reached an all-time high of 83.333 % in 09 Aug 2021 and a record low of 0.000 % in 09 Oct 2022. Bed Occupancy Rate: Emergency Department: Central Kalimantan: Palangka Raya Municipality data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLA020: Hospital Bed Occupancy Rate: Emergency Department: by Regency/Municipality (Discontinued).

The occupancy rate for Apollo Hospitals in fiscal year 2024 was ** percent. This was a decrease compared to financial year 2014 when it was ** percent. The occupancy rate for a hospital depends on the maturity of hospitals as mature hospitals tend to get more references for treatments compared to lesser matured hospitals. In addition to this, the occupancy rate also depends on the availability of required hospitals, skills of the doctors, standard of the hospitals, and the quality of results and treatment provided by hospitals.

This statistic depicts the the occupancy rate of hospital beds in Massachusetts during fiscal years 2013 to 2020, sorted by type of hospital. In 20208, the occupancy rate for teaching hospitals was around 71 percent.

In 2021, King Abdullah Medical City in Makkah had a bed occupancy rate of around ** per 100 beds. In that year, almost ** percent of inpatients at the Ministry of Health (MOH) hospitals in Makkah in Saudi Arabia were Saudi nationals.

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.

This dataset represents weekly COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. 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

Metric details:

• Time Period: timeseries data 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 COVID-19 Hospital Admissions (count): Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
• New COVID-19 Hospital Admissions (7-Day Average): 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
• Cumulative COVID-19 Hospital Admissions: Cumulative total number of admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) in the entire jurisdiction since August 1, 2020.
• Cumulative COVID-19 Hospital Admissions Rate: Cumulative total number of admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) in the entire jurisdiction since August 1, 2020 divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000.
• New COVID-19 Hospital Admissions Rate (7-day average) percent change from prior week: Percent change in the 7-day average new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week.
• New COVID-19 Hospital Admissions (7-Day Total): 7-day total number of new admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) in the entire jurisdiction.
• New COVID-19 Hospital Admissions Rate (7-Day Total): 7-day total number of new admissions of patients with laboratory-confirmed COVID-19 (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000.
• Total Hospitalized COVID-19 Patients: 7-day total number of patients currently hospitalized with laboratory-confirmed COVID-19 (including both adult and pediatric patients) for the entire jurisdiction.
• Total Hospitalized COVID-19 Patients (7-Day Average): 7-day average of the number of patients currently hospitalized with laboratory-confirmed COVID-19 (including both adult and pediatric patients) for the entire jurisdiction.
• COVID-19 Inpatient Bed Occupancy (7-Day Average): Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the entire jurisdiction is calculated as an average of valid daily values within the past 7 days (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 absolute 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 7-day average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past 7 days, compared with the prior week, in the entire jurisdiction.
• COVID-19 ICU Bed Occupancy (7-Day Average): Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as a 7-day average of valid daily values within the past 7 days (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 absolute 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 7 days, compared with the prior week, in the in the entire jurisdiction.

Note: October 27, 2023: Due to a data processing error, reported values for avg_percent_inpatient_beds_occupied_covid_confirmed will appear lower than previously reported values by an average difference of less than 1%. Therefore, previously reported values for avg_percent_inpatient_beds_occupied_covid_confirmed may have been overestimated and should be interpreted with caution.

October 27, 2023: Due to a data processing error, reported values for abs_chg_avg_percent_inpatient_beds_occupied_covid_confirmed will differ from previously reported values by an average absolute difference of less than 1%. Therefore, previously reported values for abs_chg_avg_percent_inpatient_beds_occupied_covid_confirmed should be interpreted with caution.

December 29, 2023: Hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN) through December 23, 2023, should be interpreted with caution due to potential reporting delays that are impacted by Christmas and New Years holidays. As a result, metrics including new hospital admissions for COVID-19 and influenza and hospital occupancy may be underestimated for the week ending December 23, 2023.

January 5, 2024: Hospitalization data reported to CDC’s National Healthcare Safety Network (NHSN) through December 30, 2023 should be interpreted with caution due to potential reporting delays that are impacted by Christmas and New Years holidays. As a result, metrics including new hospital admissions for COVID-19 and influenza and hospital occupancy may be underestimated for the week ending December 30, 2023.

Bed Occupancy Rate: Emergency Department: Central Kalimantan: South Barito Regency data was reported at 0.000 % in 17 Apr 2022. This stayed constant from the previous number of 0.000 % for 16 Apr 2022. Bed Occupancy Rate: Emergency Department: Central Kalimantan: South Barito Regency data is updated daily, averaging 0.000 % from Feb 2022 (Median) to 17 Apr 2022, with 57 observations. The data reached an all-time high of 0.000 % in 17 Apr 2022 and a record low of 0.000 % in 17 Apr 2022. Bed Occupancy Rate: Emergency Department: Central Kalimantan: South Barito Regency data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLA020: Hospital Bed Occupancy Rate: Emergency Department: by Regency/Municipality (Discontinued).

The statistic shows the bed occupancy rate in Chinese hospitals in 2023, by region. That year in Shanghai, the hospital bed occupancy rate averaged at approximately ** percent.

This data package contains the hospital bed availability and occupancy data by consultant main specialty and sector as well as data on inpatient and outpatient related hospital activity in England. It also contains information on Sub-Saharan public hospitals.

This dataset provides information on the total number of available and occupied bed days for facility wards open "overnight" and "day only" by NHS (National Health Service) Trust by Sector.

Bed Occupancy Rate: Emergency Department: Central Java: Kudus Regency data was reported at 0.000 % in 09 Oct 2022. This stayed constant from the previous number of 0.000 % for 08 Oct 2022. Bed Occupancy Rate: Emergency Department: Central Java: Kudus Regency data is updated daily, averaging 0.000 % from Aug 2021 (Median) to 09 Oct 2022, with 361 observations. The data reached an all-time high of 3.922 % in 25 Feb 2022 and a record low of 0.000 % in 09 Oct 2022. Bed Occupancy Rate: Emergency Department: Central Java: Kudus Regency data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLA020: Hospital Bed Occupancy Rate: Emergency Department: by Regency/Municipality (Discontinued).

Bed Occupancy Rate: Emergency Department: Central Sulawesi: Banggai Regency data was reported at 0.000 % in 09 Oct 2022. This stayed constant from the previous number of 0.000 % for 08 Oct 2022. Bed Occupancy Rate: Emergency Department: Central Sulawesi: Banggai Regency data is updated daily, averaging 0.000 % from Aug 2021 (Median) to 09 Oct 2022, with 370 observations. The data reached an all-time high of 94.737 % in 15 Aug 2021 and a record low of 0.000 % in 09 Oct 2022. Bed Occupancy Rate: Emergency Department: Central Sulawesi: Banggai Regency data remains active status in CEIC and is reported by Ministry of Health. The data is categorized under Indonesia Premium Database’s Health Sector – Table ID.HLA020: Hospital Bed Occupancy Rate: Emergency Department: by Regency/Municipality (Discontinued).

Forecast: Curative Care Occupancy Rate in Mexico 2024 - 2028 Discover more data with ReportLinker!

As of the end of December 2023, **** percent of the hospital beds in Japan were occupied. During the same month, approximately **** million people were hospitalized across the country per day.

This dataset provides a comprehensive overview of weekly hospital respiratory data and metrics aggregated to national and state/territory levels, reported to the Centers for Disease Control and Prevention’s (CDC) National Health Safety Network (NHSN) from August 2020 through October 2024. The data includes metrics related to hospital capacity, occupancy, hospitalizations, and new admissions for COVID-19, Influenza, and Respiratory Syncytial Virus (RSV). The dataset captures both mandated and voluntary reporting periods, reflecting changes in reporting requirements by the Centers for Medicare and Medicaid Services (CMS).

Key Features

Reporting Periods

• August 2020 – April 30, 2024: Data reported during a mandated reporting period.
• May 1, 2024 – October 31, 2024: Voluntarily reported data in the absence of a mandate.
• November 1, 2024 – October 2024: Data reported during a current mandated reporting period.

Data Coverage

• COVID-19, Influenza, and RSV: Metrics capturing hospitalizations and admissions for these respiratory illnesses.
• Hospital Capacity and Occupancy: Information on inpatient and ICU beds, including occupancy rates by patient type.
• Reporting Coverage: Metrics indicating the number of hospitals reporting data for each week.

The statistic shows the bed occupancy rate in Chinese hospitals in 2023, by region. That year in Shanghai, the hospital bed occupancy rate averaged at approximately 91 percent.