Health system composite index in East Asia & Pacific
East Asia & Pacific: Health system composite index was 0.3834 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in East Asia & Pacific, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in East Asia & Pacific stood at 0.3834 standard deviations from the yearly mean.
Compared with earlier readings it is up 3.8% on the previous year and down 29.2% over ten years.
Over the whole period, health system composite index in East Asia & Pacific peaked at 0.5873 standard deviations from the yearly mean in 1990 and was at its lowest, -0.4576 standard deviations from the yearly mean, in 1982.
East Asia & Pacific ranks 10th of 45 groups on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Health system composite index in East Asia & Pacific, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.3887 standard deviations from the yearly mean | — |
| 1981 | -0.4316 standard deviations from the yearly mean | +11.0% |
| 1982 | -0.4576 standard deviations from the yearly mean | +6.0% |
| 1983 | 0.3625 standard deviations from the yearly mean | -179.2% |
| 1984 | 0.4318 standard deviations from the yearly mean | +19.1% |
| 1985 | 0.4499 standard deviations from the yearly mean | +4.2% |
| 1986 | 0.1688 standard deviations from the yearly mean | -62.5% |
| 1987 | 0.3163 standard deviations from the yearly mean | +87.4% |
| 1988 | 0.567 standard deviations from the yearly mean | +79.3% |
| 1989 | 0.5368 standard deviations from the yearly mean | -5.3% |
| 1990 | 0.5873 standard deviations from the yearly mean | +9.4% |
| 1991 | 0.5033 standard deviations from the yearly mean | -14.3% |
| 1992 | 0.4199 standard deviations from the yearly mean | -16.6% |
| 1993 | 0.3102 standard deviations from the yearly mean | -26.1% |
| 1994 | 0.2027 standard deviations from the yearly mean | -34.7% |
| 1995 | 0.2482 standard deviations from the yearly mean | +22.5% |
| 1996 | 0.3573 standard deviations from the yearly mean | +44.0% |
| 1997 | 0.3361 standard deviations from the yearly mean | -5.9% |
| 1998 | 0.3385 standard deviations from the yearly mean | +0.7% |
| 1999 | 0.3649 standard deviations from the yearly mean | +7.8% |
| 2000 | 0.3457 standard deviations from the yearly mean | -5.3% |
| 2001 | 0.338 standard deviations from the yearly mean | -2.2% |
| 2002 | 0.3251 standard deviations from the yearly mean | -3.8% |
| 2003 | 0.3268 standard deviations from the yearly mean | +0.5% |
| 2004 | 0.3448 standard deviations from the yearly mean | +5.5% |
| 2005 | 0.3339 standard deviations from the yearly mean | -3.2% |
| 2006 | 0.4312 standard deviations from the yearly mean | +29.1% |
| 2007 | 0.4047 standard deviations from the yearly mean | -6.1% |
| 2008 | 0.4458 standard deviations from the yearly mean | +10.1% |
| 2009 | 0.4867 standard deviations from the yearly mean | +9.2% |
| 2010 | 0.5084 standard deviations from the yearly mean | +4.5% |
| 2011 | 0.5017 standard deviations from the yearly mean | -1.3% |
| 2012 | 0.509 standard deviations from the yearly mean | +1.4% |
| 2013 | 0.5348 standard deviations from the yearly mean | +5.1% |
| 2014 | 0.5413 standard deviations from the yearly mean | +1.2% |
| 2015 | 0.5456 standard deviations from the yearly mean | +0.8% |
| 2016 | 0.5614 standard deviations from the yearly mean | +2.9% |
| 2017 | 0.567 standard deviations from the yearly mean | +1.0% |
| 2018 | 0.5703 standard deviations from the yearly mean | +0.6% |
| 2019 | 0.5315 standard deviations from the yearly mean | -6.8% |
| 2020 | 0.5804 standard deviations from the yearly mean | +9.2% |
| 2021 | 0.4661 standard deviations from the yearly mean | -19.7% |
| 2022 | 0.5586 standard deviations from the yearly mean | +19.9% |
| 2023 | 0.3693 standard deviations from the yearly mean | -33.9% |
| 2024 | 0.3834 standard deviations from the yearly mean | +3.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | 0.1555 standard deviations from the yearly mean | -0.4576 standard deviations from the yearly mean | 0.567 standard deviations from the yearly mean | 10 |
| 1990s | 0.3668 standard deviations from the yearly mean | 0.2027 standard deviations from the yearly mean | 0.5873 standard deviations from the yearly mean | 10 |
| 2000s | 0.3783 standard deviations from the yearly mean | 0.3251 standard deviations from the yearly mean | 0.4867 standard deviations from the yearly mean | 10 |
| 2010s | 0.5371 standard deviations from the yearly mean | 0.5017 standard deviations from the yearly mean | 0.5703 standard deviations from the yearly mean | 10 |
| 2020s | 0.4716 standard deviations from the yearly mean | 0.3693 standard deviations from the yearly mean | 0.5804 standard deviations from the yearly mean | 5 |
Countries ranked near East Asia & Pacific
- 7 South Korea 1.15 standard deviations from the yearly mean compare
- 8 United Arab Emirates 1.15 standard deviations from the yearly mean compare
- 9 Qatar 1.15 standard deviations from the yearly mean compare
- 10 Portugal 1.14 standard deviations from the yearly mean compare
- 11 Singapore 1.13 standard deviations from the yearly mean compare
- 12 Japan 1.11 standard deviations from the yearly mean compare
- 13 Italy 1.1 standard deviations from the yearly mean compare
More health data for East Asia & Pacific
- Population ages 0-14, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 15-64, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, total, per capita 0.1758 units per person (2025)
- Population ages 0-14, total, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 0-14, total, annual growth rate -2.55 % change on previous year (2025)
- Population ages 0-14, male, per capita 0.092 units per person (2025)
- Population ages 0-14, female, per capita 0.0838 units per person (2025)
- Population ages 0-14, female, annual growth rate -2.44 % change on previous year (2025)
- Population ages 0-14, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 15-64, female, annual growth rate 0.3542 % change on previous year (2025)
Frequently asked questions
- What is health system composite index in East Asia & Pacific?
- Health system composite index in East Asia & Pacific was 0.3834 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in East Asia & Pacific?
- The highest recorded value was 0.5873 standard deviations from the yearly mean in 1990.
- What is the lowest health system composite index recorded in East Asia & Pacific?
- The lowest recorded value was -0.4576 standard deviations from the yearly mean in 1982.
- How does East Asia & Pacific rank for health system composite index?
- East Asia & Pacific ranks 10th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in East Asia & Pacific?
- Over the last ten years it is down 29.2%. The long-run trend across the full record is volatile.
- Where does this East Asia & Pacific 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 — 45 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.