14 datasets found
  1. Number of hospital discharges in selected countries 2021

    • statista.com
    Updated Jul 8, 2025
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    Statista (2025). Number of hospital discharges in selected countries 2021 [Dataset]. https://www.statista.com/statistics/283280/oecd-number-of-hospital-discharges/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2021, there were an average of *** hospital discharges per one thousand inhabitants in OECD countries. With over *** discharges per 1,000 inhabitants, Germany had the highest hospital discharge rates in 2021. This statistic depicts the number of hospital discharges by country in 2021, measured per 1,000 population.

  2. Total hospital admissions in the United States 1946-2023

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Total hospital admissions in the United States 1946-2023 [Dataset]. https://www.statista.com/statistics/459718/total-hospital-admission-number-in-the-us/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  3. Number of available hospital beds per 1,000 people in the United States...

    • statista.com
    Updated Jul 22, 2025
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    Statista Research Department (2025). Number of available hospital beds per 1,000 people in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    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.

  4. f

    List of SSA annual-country-reports of IPD admissions employed for our...

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
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    Paul Roddy; Ursula Dalrymple; Tomas O. Jensen; Sabine Dittrich; V. Bhargavi Rao; Daniel A. Pfeffer; Katherine A. Twohig; Teri Roberts; Oscar Bernal; Ethan Guillen (2023). List of SSA annual-country-reports of IPD admissions employed for our analyses. [Dataset]. http://doi.org/10.1371/journal.pone.0220371.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Paul Roddy; Ursula Dalrymple; Tomas O. Jensen; Sabine Dittrich; V. Bhargavi Rao; Daniel A. Pfeffer; Katherine A. Twohig; Teri Roberts; Oscar Bernal; Ethan Guillen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    For each country-year, contemporaneous population projections from the United Nations [42] were applied to calculate SFI IPD admissions per 1000 population. The prevalence of community-acquired fever (of any severity and any cause) was extracted from Dalrymple et al. [8]. Report reference identification numbers are listed in S1 Table.

  5. d

    Etiology of hospital mortality in children living in low-and middle-income...

    • search.dataone.org
    • borealisdata.ca
    Updated Jun 19, 2024
    + more versions
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    Kortz, Teresa B; Mediratta, Rishi; Smith, Audrey M; Nielsen, Katie R; Agulnik, Asya; Gordon Rivera, Stephanie; Reeves, Hailey; O'Brien, Nicole F; Hau Lee, Jan; Abbas, Qalab; Attebery, Jonah E; Bacha, Tigist; Bhutta, Emaan G; Biewen, Carter; Camacho-Cruz, Jhon; Munoz, Alvaro Coronado; DeAlmeida, Mary L; Domeryo Owusu, Larko; Fonseca, Yudy; Hooli, Shubhada; Johnson, Hunter C; Leimanis-Laurens, Mara; Mally, Deogratisu Nicholaus; McCarthy, Amanda M; Mutekanga, Andrew; Pineda, Carol; Remy, Kenneth E; Sanders, Sara C.; Tabor, Erica; Rodrigues Teixeira, Adriana; Qi Jyuee Want, Justin; Kissoon, Niranjan; Takwoingi, Yemisi; Wiens, Matthew O; Bhutta, Adnan (2024). Etiology of hospital mortality in children living in low-and middle-income countries: a systematic review and meta-analysis [Dataset]. http://doi.org/10.5683/SP3/2UKUKW
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    Dataset updated
    Jun 19, 2024
    Dataset provided by
    Borealis
    Authors
    Kortz, Teresa B; Mediratta, Rishi; Smith, Audrey M; Nielsen, Katie R; Agulnik, Asya; Gordon Rivera, Stephanie; Reeves, Hailey; O'Brien, Nicole F; Hau Lee, Jan; Abbas, Qalab; Attebery, Jonah E; Bacha, Tigist; Bhutta, Emaan G; Biewen, Carter; Camacho-Cruz, Jhon; Munoz, Alvaro Coronado; DeAlmeida, Mary L; Domeryo Owusu, Larko; Fonseca, Yudy; Hooli, Shubhada; Johnson, Hunter C; Leimanis-Laurens, Mara; Mally, Deogratisu Nicholaus; McCarthy, Amanda M; Mutekanga, Andrew; Pineda, Carol; Remy, Kenneth E; Sanders, Sara C.; Tabor, Erica; Rodrigues Teixeira, Adriana; Qi Jyuee Want, Justin; Kissoon, Niranjan; Takwoingi, Yemisi; Wiens, Matthew O; Bhutta, Adnan
    Description

    Background: In 2019, 80% of the 7.4 million global child deaths occurred in low- and middle-income countries (LMICs). Global and regional estimates of cause of hospital death and admission in LMIC children are needed to guide global and local priority setting and resource allocation but are currently lacking. The study objective was to estimate global and regional prevalence for common causes of pediatric hospital mortality and admission in LMICs. Methods: We performed a systematic review and meta-analysis to identify LMIC observational studies published January 1, 2005-February 26, 2021. Eligible studies included: a general pediatric admission population, a cause of admission or death, and total admissions. We excluded studies with data before 2000 or without a full text. Two authors independently screened and extracted data. We performed methodological assessment using domains adapted from the Quality in Prognosis Studies tool. Data were pooled using random-effects models where possible. We reported prevalence as a proportion of cause of death or admission per 1000 admissions with 95% confidence intervals (95%CI). Findings: ur search identified 29,637 texts. After duplicate removal and screening, we analyzed 253 studies representing 21.8 million pediatric hospitalizations in 59 LMICs. All-cause pediatric hospital mortality was 4.1% [95%CI 3.4-4.7%]. The most common causes of mortality (deaths/1000 admissions) were infectious (12 [95%CI 9-14]); respiratory (9 [95%CI 5-13]); and gastrointestinal (9 [95%CI 6-11]). Common causes of admission (cases/1000 admissions) were respiratory (255 [95%CI 231-280]); infectious (214 [95%CI193-234]); and gastrointestinal (166 [95%CI 143-190]). We observed regional variation in estimates. Pediatric hospital mortality remains high in LMICs. Implications: Global child health efforts must include measures to reduce hospital mortality including basic emergency and critical care services tailored to the local disease burden. Resources are urgently needed to promote equity in child health research, support researchers, and collect high-quality data in LMICs to further guide priority setting and resource allocation. NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at sepsiscolab@bcchr.ca or visit our website.

  6. Number of hospitals in the United States 2014-2029

    • statista.com
    Updated Jul 22, 2025
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    Statista Research Department (2025). Number of hospitals in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    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.

  7. Number of hospital beds in the United States 2014-2029

    • statista.com
    Updated Jul 22, 2025
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    Statista Research Department (2025). Number of hospital beds in the United States 2014-2029 [Dataset]. https://www.statista.com/topics/1074/hospitals/
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    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.

  8. Rate of mental health hospital admissions by region 2020

    • statista.com
    Updated Sep 12, 2024
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    Statista (2024). Rate of mental health hospital admissions by region 2020 [Dataset]. https://www.statista.com/statistics/452902/admission-rate-in-mental-health-hospitals-by-world-region/
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    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    This statistic displays the rate of mental health hospital admissions per 100,000 population worldwide as of 2020, by WHO region. There were about about 32.2 such hospital admissions per 100,000 population in the Eastern Mediterranean region that year.

  9. f

    Baseline demographic characteristics.

    • plos.figshare.com
    xls
    Updated Oct 18, 2024
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    Amir Sariaslan; Joonas Pitkänen; Jonas Forsman; Ralf Kuja-Halkola; Isabell Brikell; Brian M. D’Onofrio; Mikko Aaltonen; Henrik Larsson; Pekka Martikainen; Paul Lichtenstein; Seena Fazel (2024). Baseline demographic characteristics. [Dataset]. http://doi.org/10.1371/journal.pmed.1004410.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 18, 2024
    Dataset provided by
    PLOS Medicine
    Authors
    Amir Sariaslan; Joonas Pitkänen; Jonas Forsman; Ralf Kuja-Halkola; Isabell Brikell; Brian M. D’Onofrio; Mikko Aaltonen; Henrik Larsson; Pekka Martikainen; Paul Lichtenstein; Seena Fazel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundAssociations between violent victimisation and psychiatric disorders are hypothesised to be bidirectional, but the role of violent victimisation in the aetiologies of psychiatric disorders and other adverse outcomes remains unclear. We aimed to estimate associations between violent victimisation and subsequent common psychiatric disorders, suicidal behaviours, and premature mortality while accounting for unmeasured familial confounders.Methods and findingsUsing nationwide registers, we identified a total of 127,628 individuals born in Finland (1987 to 2004) and Sweden (1973 to 2004) who had experienced violent victimisation, defined as either hospital admissions or secondary care outpatient visits for assault-related injuries. These were age- and sex-matched with up to 10 individuals in the general population (n = 1,276,215). Additionally, we matched those who had experienced violent victimisation with their unaffected siblings (n = 132,408). Outcomes included depression, anxiety, personality disorders, alcohol use disorders, drug use disorders, suicidal behaviours, and premature mortality. Participants were followed from the victimisation date until the date of the outcome, emigration, death, or December 31, 2020, whichever occurred first. Country-specific associations were estimated using stratified Cox regression models, which also accounted for unmeasured familial confounders via sibling comparisons. The country-specific associations were then pooled using meta-analytic models.Among 127,628 patients (69.0% male) who had experienced violent victimisation, the median age at first violent victimisation was 21 (interquartile range: 18 to 26) years. Incidence of all outcomes was larger in those who were exposed to violent victimisation compared to population controls, ranging from 2.3 (95% confidence interval (CI) [2.2; 2.4]) per 1,000 person-years for premature mortality (compared with 0.6, 95% CI [0.6; 0.6], in controls) to 22.5 (95% CI [22.3; 22.8]) per 1,000 person-years for anxiety (compared with 7.3, 95% CI [7.3; 7.4], in controls). In adjusted models, people who had experienced violent victimisation were between 2 to 3 times as likely as their siblings to develop any of the outcomes, ranging from adjusted hazard ratio [aHR] 1.7 (95% CI [1.7; 1.8]) for depression to 3.0 (95% CI [2.9; 3.1]) for drug use disorders. Risks remained elevated 2 years post-victimisation, ranging from aHR 1.4 (95% CI [1.3; 1.5]) for depression to 2.3 (95% CI [2.2; 2.4]) for drug use disorders.Our reliance on secondary care data likely excluded individuals with milder assault-related injuries and less severe psychiatric symptoms, thus suggesting that our estimates may be conservative. Another limitation is the possibility of residual genetic confounding, as full siblings share on average about half of their co-segregating genes. However, the associations remained robust even after adjusting for both measured and unmeasured familial confounders.ConclusionsIn this longitudinal cross-national cohort study, we observed that those who had experienced violent victimisation were at least twice as likely as their unaffected siblings to develop common psychiatric disorders (i.e., depression, anxiety, personality disorder, and alcohol and drug use disorders), engage in suicidal behaviours, and to die prematurely. Importantly, these risk elevations remained 2 years after the first victimisation event. Improving clinical assessment, management, and aftercare psychosocial support could therefore potentially reduce rates of common psychiatric disorders, suicidality, and premature mortality in individuals experiencing violent victimisation.

  10. Hospital admissions due to mental health conditions in Brazil 2024, by cause...

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Hospital admissions due to mental health conditions in Brazil 2024, by cause [Dataset]. https://www.statista.com/statistics/1091909/brazil-hospital-admissions-mental-health-conditions-cause/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Brazil
    Description

    In 2024, over ****** hospital admissions due to schizophrenia were registered in Brazil, the highest number of patient admissions among other mental health conditions at that time. Emotional disorders followed, accounting for over ****** hospital admissions in that year. In 2019, schizophrenia contributed to ***** years lived with disability (YLDs) per 100,000 population in the South American country.

  11. Deaths related to diabetes in Europe in 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated May 16, 2025
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    Statista (2025). Deaths related to diabetes in Europe in 2024, by country [Dataset]. https://www.statista.com/statistics/1081226/diabetes-related-deaths-in-europe/
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    Dataset updated
    May 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Europe
    Description

    In 2024, Germany recorded almost ****** deaths related to diabetes among adults aged 20 to 79 years, the highest number of diabetes-related deaths in Europe. Italy had the second-highest number of deaths related to diabetes that year, with around ******. Mortality rates and hospital admissions While Germany had the highest absolute number of diabetes-related deaths, Czechia reported the highest mortality rates in Europe as of 2022. The country recorded **** diabetes deaths per 100,000 population overall, with rates of **** and **** per 100,000 for males and females, respectively. In terms of hospital admissions, Turkey and Germany saw significant numbers, with approximately *** and *** admissions per 100,000 population, respectively, in 2021. Complications and global context Diabetes-related complications pose serious risks, as evidenced by the high rates of major lower extremity amputations in countries like Romania and Czechia, which in 2021 reported **** and **** amputations among diabetes sufferers per 100,000 population, respectively. On a global scale, diabetes remains a major health concern, with ** percent of adults worldwide identifying it as one of the biggest health problems in their country as of 2024. The impact of diabetes extends beyond Europe, with the region of Western Pacific experiencing an estimated ***** thousand diabetes-related deaths among those aged 60 years and younger in the year 2021.

  12. Main hospitalization diagnoses in Spain 2019, by morbidity rate

    • statista.com
    Updated Aug 10, 2021
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    Statista (2021). Main hospitalization diagnoses in Spain 2019, by morbidity rate [Dataset]. https://www.statista.com/statistics/1255948/morbidity-rate-hospitals-admission-cause-spain/
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    Dataset updated
    Aug 10, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Spain
    Description

    Circulatory system diseases were the first cause of hospitalization in Spain in 2019, accounting for 1,304 cases per 100,000 population. That year, the number of deaths related to circulatory system diseases in the European country amounted to more than 116 thousand. Illnesses related to the digestive and the respiratory system were also among the most common causes leading to hospitalization, with more than one thousand cases per 100.000 population, each.

  13. Annual national medical care expenditure Japan FY 2013-2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Annual national medical care expenditure Japan FY 2013-2022 [Dataset]. https://www.statista.com/statistics/936517/japan-annual-national-medical-care-expenses/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In the fiscal year 2022, the national medical care expenses in Japan amounted to approximately **** trillion Japanese yen, an increase from around ** trillion Japanese yen in fiscal 2013. National medical care expenditure consists of the total public funding and medial expenditure paid by patients in Japan, as well as payments through the Japanese health insurance system. With over ** percent, the government provides a large share of expenses through the national treasury and municipality funds. Medical expenses per capita The national medical expenditure per capita has risen in the past decade, crossing the 300-thousand-yen mark in 2011. Several services are summarized under medical care expenses, among which are dental care, nursing care, as well as food and living expenses during hospitalization. Inpatient and outpatient services accounted for the highest per capita expenditure, with both amounting to over 100 thousand yen. Inpatient care describes the care of patients admitted to larger hospitals with beds. Outpatient services refer to treatments without overnight admissions conducted both at hospitals and small-scale medical clinics. Hospitals and medical clinics are the two main types of medical facilities in Japan, as opposed to general practitioners, private practices, or family doctors found in other countries. The prefecture with the highest individual expenditure Most recently, the Fukui prefecture was the Japanese region with the highest individual spending on health and fitness. Known for its large elderly population and the above-average longevity of its residents, thirty percent of surveyed Okinawans were willing to spend more money on health preservation.

  14. Liver transplants in the United Kingdom (UK) 2023/24

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Liver transplants in the United Kingdom (UK) 2023/24 [Dataset]. https://www.statista.com/statistics/518777/number-of-liver-transplants-united-kingdom-uk/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In the period 2023/24, 710 liver transplants were carried out in England, followed by 84 conducted in Scotland. England has by far the largest population of the countries in the United Kingdom, so it is unsurprising it has the highest number of transplants performed in a year. State of liver transplants in the UK The number of liver transplants in the United Kingdom in 2022/23 was an eight percent increase from the number that took place in the preceding year. However, the quantity of liver transplants in the UK still needs to increase to match the numbers waiting on the organ waiting list, as in 2024, a total of 639 individuals were actively waiting for a liver transplant. Alcohol as a contributor In England in the last ten years, the number of hospital admissions for liver disease as a result of alcohol consumption has increased. Going from around 38.3 thousand admissions in 2007/08 to almost 82.2 thousand in the year 2021/22 If this continues to increase, then the number of people requiring liver transplants will subsequently rise as well.

  15. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Number of hospital discharges in selected countries 2021 [Dataset]. https://www.statista.com/statistics/283280/oecd-number-of-hospital-discharges/
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Number of hospital discharges in selected countries 2021

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Dataset updated
Jul 8, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

In 2021, there were an average of *** hospital discharges per one thousand inhabitants in OECD countries. With over *** discharges per 1,000 inhabitants, Germany had the highest hospital discharge rates in 2021. This statistic depicts the number of hospital discharges by country in 2021, measured per 1,000 population.

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