This statistic depicts an overall U.S. states health ranking in 2018, according to America's Health Rankings of the United Health Foundation. As of that year, the top state based on health was Hawaii with a score of 0.88 above the national norm.

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. 

United States Index: NYSE Health Care data was reported at 15,506.530 31Dec2002=5000 in Oct 2018. This records a decrease from the previous number of 16,299.340 31Dec2002=5000 for Sep 2018. United States Index: NYSE Health Care data is updated monthly, averaging 7,026.580 31Dec2002=5000 from Dec 2002 (Median) to Oct 2018, with 191 observations. The data reached an all-time high of 16,299.340 31Dec2002=5000 in Sep 2018 and a record low of 4,504.980 31Dec2002=5000 in Feb 2009. United States Index: NYSE Health Care data remains active status in CEIC and is reported by New York Stock Exchange. The data is categorized under Global Database’s United States – Table US.Z001: NYSE: Indexes.

France Index: ICB: CAC Health Care data was reported at 3,251.750 30Nov2005=1000 in Oct 2018. This records a decrease from the previous number of 3,696.430 30Nov2005=1000 for Sep 2018. France Index: ICB: CAC Health Care data is updated monthly, averaging 962.856 30Nov2005=1000 from Dec 1998 (Median) to Oct 2018, with 239 observations. The data reached an all-time high of 3,696.430 30Nov2005=1000 in Sep 2018 and a record low of 630.110 30Nov2005=1000 in Feb 2009. France Index: ICB: CAC Health Care data remains active status in CEIC and is reported by Euronext. The data is categorized under Global Database’s France – Table FR.Z001: Euronext: Market Index.

In 2018, the health spending per capita amounted to over 10,600 U.S. dollars in the United States. This statistic illustrates the health spending per capita in selected developed countries worldwide comparing the years 2013, 2015, 2017, and 2018.

Among OECD member countries, the United States had the highest percentage of gross domestic product spent on health care as of 2023. The U.S. spent nearly 16 percent of its GDP on health care services. Germany, France and Japan followed the U.S. with distinctly smaller percentages. The United States had both significantly higher private and public spending on health compared with other developed countries. Why compare OECD countries?OECD stands for Organization for Economic Co-operation and Development. It is an economic organization consisting of 38 members, mostly high-income countries and committed to democratic principles and market economy. This makes OECD statistics more comparable than statistics of developed and undeveloped countries. Health economics is an important matter for the OECD, even more since increasing health costs and an aging population have become an issue for many developed countries. Health costs in the U.S.  A higher GDP share spent on health care does not automatically lead to a better functioning health system. In the case of the U.S., high spending is mainly because of higher costs and prices, not due to higher utilization. For example, physicians’ salaries are much higher in the U.S. than in other comparable countries. A doctor in the U.S. earns almost twice as much as the average physician in Germany. Pharmaceutical spending per capita is also distinctly higher in the United States. Furthermore, the U.S. also spends more on health administrative costs compare to other wealthy 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.

South Africa Index: FTSE/JSE: Health Care data was reported at 6,799.640 01Jan2006=100 in Jun 2018. This records a decrease from the previous number of 7,038.785 01Jan2006=100 for May 2018. South Africa Index: FTSE/JSE: Health Care data is updated monthly, averaging 19,480.940 01Jan2006=100 from Apr 2006 (Median) to Jun 2018, with 147 observations. The data reached an all-time high of 91,711.098 01Jan2006=100 in Sep 2014 and a record low of 6,799.640 01Jan2006=100 in Jun 2018. South Africa Index: FTSE/JSE: Health Care data remains active status in CEIC and is reported by Johannesburg Stock Exchange. The data is categorized under Global Database’s South Africa – Table ZA.Z001: Johannesburg Stock Exchange: Index.

Norway Index: Oslo Bors Stock Exchange: Health Care: Health Care Equipments and Services data was reported at 959.370 29Dec1995=100 in Sep 2018. This records an increase from the previous number of 944.650 29Dec1995=100 for Aug 2018. Norway Index: Oslo Bors Stock Exchange: Health Care: Health Care Equipments and Services data is updated monthly, averaging 288.630 29Dec1995=100 from Aug 2001 (Median) to Sep 2018, with 206 observations. The data reached an all-time high of 979.920 29Dec1995=100 in Jul 2018 and a record low of 98.250 29Dec1995=100 in Mar 2003. Norway Index: Oslo Bors Stock Exchange: Health Care: Health Care Equipments and Services data remains active status in CEIC and is reported by Oslo Stock Exchange. The data is categorized under Global Database’s Norway – Table NO.Z001: Oslo Stock Exchange: Index.

United States CPI U: sa: Medical Care: Services: HR: Hospital data was reported at 333.735 Dec1996=100 in Jun 2018. This records an increase from the previous number of 331.026 Dec1996=100 for May 2018. United States CPI U: sa: Medical Care: Services: HR: Hospital data is updated monthly, averaging 187.508 Dec1996=100 from Jan 1997 (Median) to Jun 2018, with 258 observations. The data reached an all-time high of 333.735 Dec1996=100 in Jun 2018 and a record low of 100.500 Dec1996=100 in Feb 1997. United States CPI U: sa: Medical Care: Services: HR: Hospital data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.I006: Consumer Price Index: Urban: sa.

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized, allowing comparison between and within countries over time.

The Health SDIs include healthcare provider effort, knowledge and ability, and the availability of key inputs (for example, basic equipment, medicines and infrastructure, such as toilets and electricity). The indicators provide a snapshot of the health facility and assess the availability of key resources for providing high quality care.

The Kenya SDI Health survey team visited a sample of 3,098 health facilities across Kenya between March and July 2018. The 2018 Kenya SDI is the largest to date. The survey team collected rosters covering 24,098 workers for absenteeism and assessed 4,499 health workers for competence using patient case simulation.

Geographic coverage

National

Analysis unit

Health facilities and healthcare providers

Universe

All health facilities providing primary-level care

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy for SDI surveys is designed towards attaining indicators that are accurate and representative at the national level, as this allows for proper cross-country (i.e. international benchmarking) and across time comparisons, when applicable. In addition, other levels of representativeness are sought to allow for further disaggregation (rural/urban areas, public/private facilities, subregions, etc.) during the analysis stage.

The sampling strategy for SDI surveys follows a multistage sampling approach. The main units of analysis are facilities (schools and health centers) and providers (health and education workers: teachers, doctors, nurses, facility managers, etc.). The multi-stage sampling approach makes sampling procedures more practical by dividing the selection of large populations of sampling units in a step-by-step fashion. After defining the sampling frame and categorizing it by stratum, a first stage selection of sampling units is carried out independently within each stratum. Often, the primary sampling units (PSU) for this stage are cluster locations (e.g. districts, communities, counties, neighborhoods, etc.) which are randomly drawn within each stratum with a probability proportional to the size (PPS) of the cluster (measured by the location’s number of facilities, providers or pupils). Once locations are selected, a second stage takes place by randomly selecting facilities within location (either with equal probability or with PPS) as secondary sampling units. At a third stage, a fixed number of health and education workers and pupils are randomly selected within facilities to provide information for the different questionnaire modules.

Detailed information about the specific sampling process is available in the associated SDI Country Report included as part of the documentation that accompany these datasets.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Health Survey Questionnaire consists of four modules, plus weights:

Module 1: General Information - Administered to the health facility manager to collect information on equipment, medicines, infrastructure and other facets of the health facility.

Module 2: Provider Absence - A roster of healthcare providers is collected and absence measured.

Module 3: Clinical Vignettes – A selection of providers are given clinical vignettes to measure knowledge of common medical conditions.

Module 4: Public expenditure tracking - Information on facility finances

Weights: Weights for facilities, absentee-related analyses and clinical vignette analyses.

Cleaning operations

Quality control was performed in Stata.

This statistic displays the health spending per capita in Belgium, the Netherlands and Luxembourg (Benelux) in 2018. Luxembourg was the country with the highest per capita spend on health in 2018, with an average of 6,227 U.S. dollars.

United States PPI: Svcs: SC: PO: EM: PS: SG: OS: Medicare data was reported at 96.700 Jun2014=100 in Mar 2018. This stayed constant from the previous number of 96.700 Jun2014=100 for Feb 2018. United States PPI: Svcs: SC: PO: EM: PS: SG: OS: Medicare data is updated monthly, averaging 97.200 Jun2014=100 from Jun 2014 (Median) to Mar 2018, with 46 observations. The data reached an all-time high of 100.000 Jun2014=100 in Dec 2015 and a record low of 96.600 Jun2014=100 in May 2016. United States PPI: Svcs: SC: PO: EM: PS: SG: OS: Medicare data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.I100: Producer Price Index: by Industry: Services: Selected Health Care Industries.

Consumer Price Index (CPI): Healthcare & Medical Service: Guangxi: Yulin data was reported at 104.000 Prev Year=100 in 2024. This records an increase from the previous number of 101.800 Prev Year=100 for 2023. Consumer Price Index (CPI): Healthcare & Medical Service: Guangxi: Yulin data is updated yearly, averaging 103.133 Prev Year=100 from Dec 2016 (Median) to 2024, with 9 observations. The data reached an all-time high of 118.492 Prev Year=100 in 2016 and a record low of 101.576 Prev Year=100 in 2018. Consumer Price Index (CPI): Healthcare & Medical Service: Guangxi: Yulin data remains active status in CEIC and is reported by Yulin 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.

Georgia GDP Index: Year to Date: GVA: Health Care and Social Services data was reported at 102.666 Same Period PY=100 in Jun 2018. This records a decrease from the previous number of 102.833 Same Period PY=100 for Mar 2018. Georgia GDP Index: Year to Date: GVA: Health Care and Social Services data is updated quarterly, averaging 102.819 Same Period PY=100 from Mar 1997 (Median) to Jun 2018, with 86 observations. The data reached an all-time high of 116.014 Same Period PY=100 in Mar 2002 and a record low of 80.017 Same Period PY=100 in Mar 2001. Georgia GDP Index: Year to Date: GVA: Health Care and Social Services data remains active status in CEIC and is reported by National Statistics Office of Georgia. The data is categorized under Global Database’s Georgia – Table GE.A018: GDP: by Industry: Index: Same Period Previous Year=100: ytd.

According to the findings of a survey by IPSOS, satisfaction with national health systema varies widely between countries. Respondents from Saudia Arabia and Singapore are the most satisfied with their country's health system. This statistic shows the level of satisfaction with national health systems worldwide as of 2019, by country.

United States Index: Dow Jones: Health Care data was reported at 904.060 31Dec1991=100 in Jun 2018. This records an increase from the previous number of 890.150 31Dec1991=100 for May 2018. United States Index: Dow Jones: Health Care data is updated monthly, averaging 376.650 31Dec1991=100 from Aug 2005 (Median) to Jun 2018, with 155 observations. The data reached an all-time high of 942.360 31Dec1991=100 in Jan 2018 and a record low of 233.160 31Dec1991=100 in Feb 2009. United States Index: Dow Jones: Health Care data remains active status in CEIC and is reported by Dow Jones. The data is categorized under Global Database’s USA – Table US.Z015: Dow Jones: Indexes.

In 2022, U.S. national health expenditure as a share of its gross domestic product (GDP) reached 17.3 percent, this was a decrease on the previous year. The United States has the highest health spending based on GDP share among developed countries. Both public and private health spending in the U.S. is much higher than other developed countries. Why the U.S. pays so much moreWhile private health spending in Canada stays at around three percent and in Germany under two percent of the gross domestic product, it is nearly nine percent in the United States. Another reason for high costs can be found in physicians’ salaries, which are much higher in the U.S. than in other wealthy countries. A general practitioner in the U.S. earns nearly twice as much as the average physician in other high-income countries. Additionally, medicine spending per capita is also significantly higher in the United States. Finally, inflated health care administration costs are another of the predominant factors which make health care spending in the U.S. out of proportion. It is important to state that Americans do not pay more because they have a higher health care utilization, but mainly because of higher prices. Expected developmentsBy 2031, it is expected that health care spending in the U.S. will reach nearly one fifth of the nation’s gross domestic product. Or in dollar-terms, health care expenditures will accumulate to about seven trillion U.S. dollars in total.

From January 2018 to January 2025, the health index in Belgium ranged from 106 to 135.5. The value of the health index in January 2025 was 135.52. Such an index is calculated by removing certain products, such as alcoholic beverages, tobacco, and fuel, out of the list to calculate the consumer price index.

Among OECD countries in 2022, South Korea had the highest rate of yearly visits to a doctor per capita. On average, people in South Korea visited the doctors 15.7 times per year in person. Health care utilization is an important indicator of the success of a country’s health care system. There are many factors that affect health care utilization including healthcare structure and the supply of health care providers.

OECD health systems

Healthcare systems globally include a variety of tools for accessing healthcare, including private insurance based systems, like in the U.S., and universal systems, like in the U.K. Health systems have varying costs among the OECD countries. Worldwide, Europe has the highest expenditures for health as a proportion of the GDP. Among all OECD countries, The United States had the highest share of government spending on health care. Recent estimates of current per capita health expenditures showed the United States also had, by far, the highest per capita spending on health worldwide.

Supply of health providers

Globally, the country with the highest physician density is Cuba, although most other countries with high number of physicians to population was found in Europe. The number of graduates of medicine impacts the number of available physicians in countries. Among OECD countries, Latvia had the highest rate of graduates of medicine, which was almost twice the rate of the OECD average.