Health system composite index in China
China: Health system composite index was 0.6704 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in China, 1965–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in China is 0.6704 standard deviations from the yearly mean, measured in 2024.
Compared with earlier readings it is down 24.0% on the previous year and up 94.5% over ten years.
Over the whole period, health system composite index in China peaked at 0.8825 standard deviations from the yearly mean in 2023 and was at its lowest, -0.6089 standard deviations from the yearly mean, in 1971.
That places China 50th out of 196 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Health system composite index in China, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1965 | 0.4279 standard deviations from the yearly mean | — |
| 1970 | -0.0672 standard deviations from the yearly mean | -115.7% |
| 1971 | -0.6089 standard deviations from the yearly mean | +806.3% |
| 1973 | -0.5162 standard deviations from the yearly mean | -15.2% |
| 1975 | 0.029 standard deviations from the yearly mean | -105.6% |
| 1976 | -0.4546 standard deviations from the yearly mean | -1668.6% |
| 1977 | -0.3476 standard deviations from the yearly mean | -23.5% |
| 1979 | -0.1246 standard deviations from the yearly mean | -64.2% |
| 1980 | -0.2824 standard deviations from the yearly mean | +126.6% |
| 1981 | -0.0117 standard deviations from the yearly mean | -95.9% |
| 1982 | -0.3918 standard deviations from the yearly mean | +3259.9% |
| 1983 | 0.4747 standard deviations from the yearly mean | -221.2% |
| 1984 | 0.1595 standard deviations from the yearly mean | -66.4% |
| 1985 | 0.2533 standard deviations from the yearly mean | +58.9% |
| 1986 | -0.2261 standard deviations from the yearly mean | -189.2% |
| 1987 | -0.1443 standard deviations from the yearly mean | -36.2% |
| 1988 | 0.1378 standard deviations from the yearly mean | -195.5% |
| 1989 | 0.23 standard deviations from the yearly mean | +66.9% |
| 1990 | 0.2522 standard deviations from the yearly mean | +9.6% |
| 1991 | 0.1459 standard deviations from the yearly mean | -42.2% |
| 1992 | 0.0557 standard deviations from the yearly mean | -61.8% |
| 1993 | -0.0171 standard deviations from the yearly mean | -130.7% |
| 1994 | -0.1798 standard deviations from the yearly mean | +951.1% |
| 1995 | -0.1871 standard deviations from the yearly mean | +4.1% |
| 1996 | -0.0732 standard deviations from the yearly mean | -60.9% |
| 1997 | -0.1582 standard deviations from the yearly mean | +116.2% |
| 1998 | -0.2012 standard deviations from the yearly mean | +27.2% |
| 1999 | -0.2336 standard deviations from the yearly mean | +16.1% |
| 2000 | -0.1516 standard deviations from the yearly mean | -35.1% |
| 2001 | -0.1686 standard deviations from the yearly mean | +11.2% |
| 2002 | -0.1811 standard deviations from the yearly mean | +7.4% |
| 2003 | -0.1791 standard deviations from the yearly mean | -1.1% |
| 2004 | -0.0634 standard deviations from the yearly mean | -64.6% |
| 2005 | -0.1165 standard deviations from the yearly mean | +83.6% |
| 2006 | -0.0145 standard deviations from the yearly mean | -87.5% |
| 2007 | 0.0283 standard deviations from the yearly mean | -294.9% |
| 2008 | 0.1442 standard deviations from the yearly mean | +409.1% |
| 2009 | 0.2212 standard deviations from the yearly mean | +53.4% |
| 2010 | 0.2496 standard deviations from the yearly mean | +12.8% |
| 2011 | 0.2443 standard deviations from the yearly mean | -2.1% |
| 2012 | 0.2794 standard deviations from the yearly mean | +14.3% |
| 2013 | 0.3129 standard deviations from the yearly mean | +12.0% |
| 2014 | 0.3447 standard deviations from the yearly mean | +10.2% |
| 2015 | 0.4275 standard deviations from the yearly mean | +24.0% |
| 2016 | 0.4632 standard deviations from the yearly mean | +8.4% |
| 2017 | 0.5079 standard deviations from the yearly mean | +9.7% |
| 2018 | 0.5791 standard deviations from the yearly mean | +14.0% |
| 2019 | 0.5806 standard deviations from the yearly mean | +0.3% |
| 2020 | 0.6812 standard deviations from the yearly mean | +17.3% |
| 2021 | 0.7106 standard deviations from the yearly mean | +4.3% |
| 2022 | 0.7722 standard deviations from the yearly mean | +8.7% |
| 2023 | 0.8825 standard deviations from the yearly mean | +14.3% |
| 2024 | 0.6704 standard deviations from the yearly mean | -24.0% |
China compared with similar countries
- China's 0.6704 standard deviations from the yearly mean is above the median for upper middle income countries, which is 0.1594 standard deviations from the yearly mean, 4.2× the median. (58 countries reporting)
- China's 0.6704 standard deviations from the yearly mean is above the median for East Asia & Pacific, which is 0.0246 standard deviations from the yearly mean, 27.3× the median. (32 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in China changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 1982 | -3259.9% | -0.0117 standard deviations from the yearly mean | -0.3918 standard deviations from the yearly mean |
| 1976 | -1668.6% | 0.029 standard deviations from the yearly mean | -0.4546 standard deviations from the yearly mean |
| 1994 | -951.1% | -0.0171 standard deviations from the yearly mean | -0.1798 standard deviations from the yearly mean |
| 1971 | -806.3% | -0.0672 standard deviations from the yearly mean | -0.6089 standard deviations from the yearly mean |
| 2008 | +409.1% | 0.0283 standard deviations from the yearly mean | 0.1442 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 0.4279 standard deviations from the yearly mean | 0.4279 standard deviations from the yearly mean | 0.4279 standard deviations from the yearly mean | 1 |
| 1970s | -0.2986 standard deviations from the yearly mean | -0.6089 standard deviations from the yearly mean | 0.029 standard deviations from the yearly mean | 7 |
| 1980s | 0.0199 standard deviations from the yearly mean | -0.3918 standard deviations from the yearly mean | 0.4747 standard deviations from the yearly mean | 10 |
| 1990s | -0.0596 standard deviations from the yearly mean | -0.2336 standard deviations from the yearly mean | 0.2522 standard deviations from the yearly mean | 10 |
| 2000s | -0.0481 standard deviations from the yearly mean | -0.1811 standard deviations from the yearly mean | 0.2212 standard deviations from the yearly mean | 10 |
| 2010s | 0.3989 standard deviations from the yearly mean | 0.2443 standard deviations from the yearly mean | 0.5806 standard deviations from the yearly mean | 10 |
| 2020s | 0.7434 standard deviations from the yearly mean | 0.6704 standard deviations from the yearly mean | 0.8825 standard deviations from the yearly mean | 5 |
Countries ranked near China
- 47 Hungary 0.7265 standard deviations from the yearly mean compare
- 48 Panama 0.7229 standard deviations from the yearly mean compare
- 49 United Kingdom 0.69 standard deviations from the yearly mean compare
- 51 Latvia 0.6677 standard deviations from the yearly mean compare
- 52 Slovakia 0.6586 standard deviations from the yearly mean compare
- 53 Brunei 0.6379 standard deviations from the yearly mean compare
More health data for China
- Un projection of annual infant deaths, annual growth rate -1.15 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.0985 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 2,029 deaths per 1,000 people (2090)
- Number of infants who die before age 1 4,642 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 10 (2025)
- Population ages 00-04, female, annual growth rate -8.22 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0159 units per person (2025)
- Population ages 00-04, male, annual growth rate -8.73 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in China?
- Health system composite index in China was 0.6704 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in China?
- The highest recorded value was 0.8825 standard deviations from the yearly mean in 2023.
- What is the lowest health system composite index recorded in China?
- The lowest recorded value was -0.6089 standard deviations from the yearly mean in 1971.
- How does China rank for health system composite index?
- China ranks 50th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in China?
- Over the last ten years it is up 94.5%. The long-run trend across the full record is volatile.
- Where does this China data come from?
- The figures come from Statizoid (derived), published as part of Health system composite index. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 53 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
An equal-weighted index of 4 indicators: Life expectancy at birth, total; Physicians per 1000 people; Hospital beds per 1000 people; Immunization, measles. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.
Equal-weighted mean of the standardised inputs below.
Computed from
- Life expectancy at birth, total World Population Prospects, United Nations (UN)
- Medical doctors per 1,000 people World Health Organization (Global Health Workforce Statistics), OECD, and country data, via World Bank (2026) – processed by Our World in Data
- Hospital beds per 1,000 people World Health Organization (WHO) data, via World Bank (2026) – processed by Our World in Data
- Immunization, measles World Health Organization (WHO)
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
An equal-weighted index of 4 indicators: Life expectancy at birth, total; Physicians per 1000 people; Hospital beds per 1000 people; Immunization, measles. Each is standardised against that year's spread across all reporting countries before averaging, so a score of 0 is the average country and +1 is one standard deviation above it.