In 2023, Singapore dominated the ranking of the world's health and health systems, followed by Japan and South Korea. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The health and health system index score of the top ten countries with the best healthcare system in the world ranged between 82 and 86.9, measured on a scale of zero to 100.

Global Health Security Index  Numerous health and health system indexes have been developed to assess various attributes and aspects of a nation's healthcare system. One such measure is the Global Health Security (GHS) index. This index evaluates the ability of 195 nations to identify, assess, and mitigate biological hazards in addition to political and socioeconomic concerns, the quality of their healthcare systems, and their compliance with international finance and standards. In 2021, the United States was ranked at the top of the GHS index, but due to multiple reasons, the U.S. government failed to effectively manage the COVID-19 pandemic. The GHS Index evaluates capability and identifies preparation gaps; nevertheless, it cannot predict a nation's resource allocation in case of a public health emergency.

Universal Health Coverage Index  Another health index that is used globally by the members of the United Nations (UN) is the universal health care (UHC) service coverage index. The UHC index monitors the country's progress related to the sustainable developmental goal (SDG) number three. The UHC service coverage index tracks 14 indicators related to reproductive, maternal, newborn, and child health, infectious diseases, non-communicable diseases, service capacity, and access to care. The main target of universal health coverage is to ensure that no one is denied access to essential medical services due to financial hardships. In 2021, the UHC index scores ranged from as low as 21 to a high score of 91 across 194 countries. 

In 2025, South Africa had the highest health care index in Africa with a score of 63.8, followed by Kenya with 62 points. These scores, for both countries, are considered to be reasonably high. The health care index takes into account factors such as the overall quality of the health care system, health care professionals, equipment, staff, doctors, and cost.

The average for 2021 based on 186 countries was 1368.8 U.S. dollars. The highest value was in the USA: 11999.09 U.S. dollars and the lowest value was in Somalia: 14.63 U.S. dollars. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

Japan CTI: sa: Adj: WH: Nominal: Medical Care data was reported at 4.520 2020=100 in Dec 2023. This records an increase from the previous number of 4.360 2020=100 for Nov 2023. Japan CTI: sa: Adj: WH: Nominal: Medical Care data is updated monthly, averaging 4.211 2020=100 from Jan 2017 (Median) to Dec 2023, with 84 observations. The data reached an all-time high of 4.958 2020=100 in Sep 2019 and a record low of 3.706 2020=100 in Mar 2017. Japan CTI: sa: Adj: WH: Nominal: Medical Care data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.H087: Consumption Trend Index: 2020=100: Seasonally Adjusted: Adjusted by Household Distribution.

Despite the fact that remote services were successfully implemented in most European social and health systems before 2020, the COVID-19 pandemic has led to an unprecedented development of health and social care services provided in this form. This paper compares the readiness of patients to use the digital solutions in healthcare systems implemented in EU countries, in response to the current pandemic situation. In the study, technological, health insurance, and demographic variables were selected on the basis of substantive criteria. Next, the linear ordering method was applied to make a ranking of the analyzed countries according to the level of patients' readiness to use digital healthcare services. The main findings show that the Netherlands and Ireland are characterized by the highest level of patients' readiness for using remote healthcare services. On the other hand, Romania and Bulgaria are among the countries with the lowest readiness. The study also made it possible to group European countries according to the level of patients' preparedness.

Consumer Price Index (CPI): Healthcare & Medical Service: Fujian: Fuzhou data was reported at 102.400 Prev Year=100 in 2024. This records an increase from the previous number of 100.400 Prev Year=100 for 2023. Consumer Price Index (CPI): Healthcare & Medical Service: Fujian: Fuzhou data is updated yearly, averaging 101.119 Prev Year=100 from Dec 2010 (Median) to 2024, with 11 observations. The data reached an all-time high of 106.100 Prev Year=100 in 2015 and a record low of 100.006 Prev Year=100 in 2020. Consumer Price Index (CPI): Healthcare & Medical Service: Fujian: Fuzhou data remains active status in CEIC and is reported by Fuzhou Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IAC: Consumer Price Index: Prefecture Level City: Healthcare & Medical Service.

China Consumer Price Index (CPI): 36 City: Healthcare & Medical Service data was reported at 99.900 Prev Mth=100 in Feb 2025. This stayed constant from the previous number of 99.900 Prev Mth=100 for Jan 2025. China Consumer Price Index (CPI): 36 City: Healthcare & Medical Service data is updated monthly, averaging 100.100 Prev Mth=100 from Jan 2016 (Median) to Feb 2025, with 110 observations. The data reached an all-time high of 102.200 Prev Mth=100 in Aug 2020 and a record low of 99.700 Prev Mth=100 in May 2020. China Consumer Price Index (CPI): 36 City: Healthcare & Medical Service data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: 36 City: Previous Month=100.

United States NASDAQ: Index: NASDAQ US Benchmark Health Care Facilities Index data was reported at 2,154.200 NA in Apr 2025. This records an increase from the previous number of 2,145.950 NA for Mar 2025. United States NASDAQ: Index: NASDAQ US Benchmark Health Care Facilities Index data is updated monthly, averaging 1,634.220 NA from Oct 2020 (Median) to Apr 2025, with 55 observations. The data reached an all-time high of 2,543.439 NA in Sep 2024 and a record low of 947.960 NA in Oct 2020. United States NASDAQ: Index: NASDAQ US Benchmark Health Care Facilities Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: NASDAQ: Monthly.

CN: Consumer Price Index: Healthcare & Medical Service: Anhui: Wuhu data was reported at 100.300 Prev Year=100 in 2024. This records a decrease from the previous number of 102.300 Prev Year=100 for 2020. CN: Consumer Price Index: Healthcare & Medical Service: Anhui: Wuhu data is updated yearly, averaging 102.300 Prev Year=100 from Dec 2016 (Median) to 2024, with 6 observations. The data reached an all-time high of 107.200 Prev Year=100 in 2017 and a record low of 100.300 Prev Year=100 in 2024. CN: Consumer Price Index: Healthcare & Medical Service: Anhui: Wuhu data remains active status in CEIC and is reported by Wuhu Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IAC: Consumer Price Index: Prefecture Level City: Healthcare & Medical Service.

The average for 2021 based on 186 countries was 7.09 percent. The highest value was in Afghanistan: 21.51 percent and the lowest value was in Brunei: 2.15 percent. The indicator is available from 2000 to 2023. Below is a chart for all countries where data are available.

This statistic shows a ranking of the estimated per capita consumer spending on healthcare in 2020 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 06. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years the price level has been projected as well. The data has been converted from local currencies to US$ using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Over the last two observations, the revenue is forecast to significantly increase in all regions. From the selected regions, the ranking by revenue in the hospitals market is forecast to be led by Indonesia with **** billion U.S. dollars. In contrast, the ranking is trailed by Timor-Leste with ***** million U.S. dollars, recording a difference of **** billion U.S. dollars to Indonesia. Find further statistics on other topics such as a comparison of countries or regions regarding the average spend per capita and a comparison of the revenue in Southeast Asia.The Statista Market Insights cover a broad range of additional markets.

China Turnover: Volume: CSI 300 Index: Health Care data was reported at 7,256.627 Share mn in Nov 2025. This records a decrease from the previous number of 7,581.193 Share mn for Oct 2025. China Turnover: Volume: CSI 300 Index: Health Care data is updated monthly, averaging 2,092.381 Share mn from Jul 2007 (Median) to Nov 2025, with 221 observations. The data reached an all-time high of 19,127.779 Share mn in Jul 2020 and a record low of 603.000 Share mn in Aug 2008. China Turnover: Volume: CSI 300 Index: Health Care data remains active status in CEIC and is reported by China Securities Index Co., Ltd.. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: China Securities Index : Turnover: Volume.

DiD analysis results of countries with high UHC index values (UHC SCI ≥80) vs. all other countries (UHC SCI

Advanced therapy medicinal products (ATMPs) are potential game changers in modern medical care with an anticipated major impact for patients and society. They are a new drug class often referred to as “living drugs,” and are based on complex components such as vectors, cells and even tissues. The production of such ATMPs involves innovative biotechnological methods. In this survey, we have assessed the perception of European citizens regarding ATMPs and health care in Europe, in relation to other important topics, such as safety and security, data protection, climate friendly energy supply, migration, and others. A crucial question was to determine to what extent European citizens wish to support public funding of innovations in healthcare and reimbursement strategies for ATMPs. To answer this, we conducted an online survey in 13 European countries (representative of 85.3% of the entire EU population including the UK in 2020), surveying a total of 7,062 European citizens. The survey was representative with respect to adult age groups and gender in each country. Healthcare had the highest ranking among important societal topics. We found that 83% of the surveyed EU citizens were in support of more public funding of technologies in the field of ATMPs. Interestingly, 74% of respondents are in support of cross-border healthcare for patients with rare diseases to receive ATMP treatments and 61% support the reimbursement of very expensive ATMPs within the European health care system despite the current lack of long-term efficacy data. In conclusion, healthcare is a top ranking issue for European Citizens, who additionally support funding of new technologies to enable the wider application of ATMPs in Europe.

Introduction/Context: The term core value (CV) can be defined as fundamental beliefs or principles, guiding one's behavior in a social context. Though core competencies of family medicine (FM) have been clearly defined by WONCA, there has been an ongoing debate on what the CVs are for family doctors (FDs). Ukraine is a developing country in the middle of Europe with a population of 43 million inhabitants, gained independence from the Soviet Union in 1991. Ukraine is a low-income country, developing a modern European healthcare system, especially regarding FM. To implement WONCA standards, it is mandatory to assess the ongoing understanding of CVs in clinical daily practice among active FDs, working in different countries of Europe including Ukraine.Research questions: How do Ukrainian FDs (Delphi group experts) define the CVs of FM in Ukraine and how important are these CVs to a wider population of Ukrainian FDs in their everyday practice?Methods: A mixed method study was conducted in two steps during August and September 2020 in Ukraine. The first part was a qualitative Delphi round (three rounds) design among 20 Ukrainian FDs who were familiar with teaching and terms like CV. A consensus list of six CVs has emerged from the Delphi round study. The second part was a quantitative survey among Ukrainian FDs, who were not specially used to discussing CVs. The consensus list of those six CVs was then submitted to 2000 FDs (randomly selected) who were not involved in the Delphi team, to rank those values from one to nine, according to the importance from their personal point of view. Demographic characteristics have been assessed for all the participants of the Delphi round and quantitative survey.Results: Twenty FDs were involved as experts in the first Delphi round, whereas only five experts continued their participation in the second and the third rounds of the survey. The following six CVs emerged from the Delphi round: comprehensive approach, care coordination, first recourse, continuity of care, integrated approach, and patient and family centered care. The final sample consisted of 375 FDs (19% response rate). There were 323 (88.7%) female and 34 (9.3%) male FDs in the sample. The mean age of the participants was 44.6±13.5 years.Discussion/Conclusion: Defining CVs for FM by Ukrainian FDs in a given socio-economical and historical-cultural setting is crucial to optimize primary medical care and to guarantee an appropriate and successful implementation of WONCA standards as well as CVs in different countries including those where reformation of the health system is ongoing.

This statistic shows a ranking of the estimated current healthcare spending per capita in 2020 in Africa, differentiated by country. The spending refers to the average current spending of both governments and consumers per inhabitant.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 more than *** countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Consumer Price Index (CPI): Healthcare & Medical Service: 36 City: Shenzhen data was reported at 99.900 Prev Year=100 in Feb 2025. This stayed constant from the previous number of 99.900 Prev Year=100 for Jan 2025. Consumer Price Index (CPI): Healthcare & Medical Service: 36 City: Shenzhen data is updated monthly, averaging 100.450 Prev Year=100 from Jan 2016 (Median) to Feb 2025, with 110 observations. The data reached an all-time high of 108.000 Prev Year=100 in Feb 2017 and a record low of 98.900 Prev Year=100 in Dec 2020. Consumer Price Index (CPI): Healthcare & Medical Service: 36 City: Shenzhen data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Inflation – Table CN.IA: Consumer Price Index: 36 City: Same Month PY=100.

This statistic shows a ranking of the estimated average number of physicians per 1,000 inhabitants in 2020 in Latin America, differentiated by country.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 more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

Brazil. (n = 563051).