Health system composite index in South Asia
South Asia: Health system composite index was 0.3464 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in South Asia, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in South Asia is 0.3464 standard deviations from the yearly mean, measured in 2024. That is the highest value across all 45 years on record.
The figure is up 41.5% on the previous year and up 287.6% over ten years.
Over the whole period, health system composite index in South Asia peaked at 0.3464 standard deviations from the yearly mean in 2024 and was at its lowest, -1.34 standard deviations from the yearly mean, in 1985.
South Asia ranks 12th 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 South Asia, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -1.02 standard deviations from the yearly mean | — |
| 1981 | -1.06 standard deviations from the yearly mean | +3.5% |
| 1982 | -1.08 standard deviations from the yearly mean | +2.1% |
| 1983 | -1.18 standard deviations from the yearly mean | +9.4% |
| 1984 | -1.23 standard deviations from the yearly mean | +4.0% |
| 1985 | -1.34 standard deviations from the yearly mean | +9.6% |
| 1986 | -1.32 standard deviations from the yearly mean | -1.9% |
| 1987 | -1.2 standard deviations from the yearly mean | -9.0% |
| 1988 | -1.21 standard deviations from the yearly mean | +0.6% |
| 1989 | -1.07 standard deviations from the yearly mean | -11.2% |
| 1990 | -0.8442 standard deviations from the yearly mean | -21.2% |
| 1991 | -1.06 standard deviations from the yearly mean | +25.3% |
| 1992 | -0.8394 standard deviations from the yearly mean | -20.7% |
| 1993 | -0.6686 standard deviations from the yearly mean | -20.3% |
| 1994 | -0.5088 standard deviations from the yearly mean | -23.9% |
| 1995 | -0.4314 standard deviations from the yearly mean | -15.2% |
| 1996 | -0.6031 standard deviations from the yearly mean | +39.8% |
| 1997 | -0.8156 standard deviations from the yearly mean | +35.2% |
| 1998 | -0.8482 standard deviations from the yearly mean | +4.0% |
| 1999 | -0.7819 standard deviations from the yearly mean | -7.8% |
| 2000 | -0.7818 standard deviations from the yearly mean | -0.0% |
| 2001 | -0.805 standard deviations from the yearly mean | +3.0% |
| 2002 | -0.8524 standard deviations from the yearly mean | +5.9% |
| 2003 | -0.8015 standard deviations from the yearly mean | -6.0% |
| 2004 | -0.7127 standard deviations from the yearly mean | -11.1% |
| 2005 | -0.6309 standard deviations from the yearly mean | -11.5% |
| 2006 | -0.6642 standard deviations from the yearly mean | +5.3% |
| 2007 | -0.6444 standard deviations from the yearly mean | -3.0% |
| 2008 | -0.606 standard deviations from the yearly mean | -6.0% |
| 2009 | -0.4308 standard deviations from the yearly mean | -28.9% |
| 2010 | -0.337 standard deviations from the yearly mean | -21.8% |
| 2011 | -0.2653 standard deviations from the yearly mean | -21.3% |
| 2012 | -0.3397 standard deviations from the yearly mean | +28.0% |
| 2013 | -0.3117 standard deviations from the yearly mean | -8.2% |
| 2014 | -0.1846 standard deviations from the yearly mean | -40.8% |
| 2015 | -0.0911 standard deviations from the yearly mean | -50.7% |
| 2016 | -0.0419 standard deviations from the yearly mean | -54.0% |
| 2017 | 0.0466 standard deviations from the yearly mean | -211.2% |
| 2018 | 0.1287 standard deviations from the yearly mean | +176.1% |
| 2019 | 0.2031 standard deviations from the yearly mean | +57.8% |
| 2020 | 0.0724 standard deviations from the yearly mean | -64.4% |
| 2021 | -0.0076 standard deviations from the yearly mean | -110.5% |
| 2022 | 0.332 standard deviations from the yearly mean | -4472.2% |
| 2023 | 0.2448 standard deviations from the yearly mean | -26.3% |
| 2024 | 0.3464 standard deviations from the yearly mean | +41.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -1.17 standard deviations from the yearly mean | -1.34 standard deviations from the yearly mean | -1.02 standard deviations from the yearly mean | 10 |
| 1990s | -0.7399 standard deviations from the yearly mean | -1.06 standard deviations from the yearly mean | -0.4314 standard deviations from the yearly mean | 10 |
| 2000s | -0.693 standard deviations from the yearly mean | -0.8524 standard deviations from the yearly mean | -0.4308 standard deviations from the yearly mean | 10 |
| 2010s | -0.1193 standard deviations from the yearly mean | -0.3397 standard deviations from the yearly mean | 0.2031 standard deviations from the yearly mean | 10 |
| 2020s | 0.1976 standard deviations from the yearly mean | -0.0076 standard deviations from the yearly mean | 0.3464 standard deviations from the yearly mean | 5 |
Countries ranked near South Asia
- 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
- 14 Cyprus 1.1 standard deviations from the yearly mean compare
- 15 Iceland 1.09 standard deviations from the yearly mean compare
More health data for South Asia
- Population, female, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Population ages 65 and above, total, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 65 and above, total, per capita 0.0735 units per person (2025)
- Population, female, annual growth rate 0.9216 % change on previous year (2025)
- Population ages 65 and above, total, annual growth rate 4.04 % change on previous year (2025)
- Population ages 65 and above, male, per capita 0.035 units per person (2025)
- Population ages 65 and above, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 65 and above, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 65 and above, female, annual growth rate 3.93 % change on previous year (2025)
- Population, female, per capita 0.4879 units per person (2025)
Frequently asked questions
- What is health system composite index in South Asia?
- Health system composite index in South Asia was 0.3464 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in South Asia?
- The highest recorded value was 0.3464 standard deviations from the yearly mean in 2024.
- What is the lowest health system composite index recorded in South Asia?
- The lowest recorded value was -1.34 standard deviations from the yearly mean in 1985.
- How does South Asia rank for health system composite index?
- South Asia ranks 12th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in South Asia?
- Over the last ten years it is up 287.6%. The long-run trend across the full record is volatile.
- Where does this South Asia 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)
- Physicians per 1000 people Our World in Data
- Hospital beds per 1000 people 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.