Health system composite index in Bhutan
Bhutan: Health system composite index was 0.401 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Bhutan, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Bhutan recorded 0.401 standard deviations from the yearly mean for health system composite index in 2024. That is the highest value across all 45 years on record.
The figure is up 112.7% on the previous year and up 253.5% over ten years.
Over the whole period, health system composite index in Bhutan peaked at 0.401 standard deviations from the yearly mean in 2024 and was at its lowest, -1.04 standard deviations from the yearly mean, in 1982.
That places Bhutan 80th 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 Bhutan, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -0.9069 standard deviations from the yearly mean | — |
| 1981 | -0.8921 standard deviations from the yearly mean | -1.6% |
| 1982 | -1.04 standard deviations from the yearly mean | +16.2% |
| 1983 | -1.03 standard deviations from the yearly mean | -0.7% |
| 1984 | -0.7824 standard deviations from the yearly mean | -24.0% |
| 1985 | -0.7291 standard deviations from the yearly mean | -6.8% |
| 1986 | -0.9212 standard deviations from the yearly mean | +26.3% |
| 1987 | -0.5964 standard deviations from the yearly mean | -35.3% |
| 1988 | -0.5441 standard deviations from the yearly mean | -8.8% |
| 1989 | -0.3007 standard deviations from the yearly mean | -44.7% |
| 1990 | -0.4022 standard deviations from the yearly mean | +33.8% |
| 1991 | -0.0266 standard deviations from the yearly mean | -93.4% |
| 1992 | -0.0749 standard deviations from the yearly mean | +181.8% |
| 1993 | -0.1406 standard deviations from the yearly mean | +87.7% |
| 1994 | -0.7112 standard deviations from the yearly mean | +405.9% |
| 1995 | -0.4549 standard deviations from the yearly mean | -36.0% |
| 1996 | -0.1399 standard deviations from the yearly mean | -69.2% |
| 1997 | -0.1483 standard deviations from the yearly mean | +6.0% |
| 1998 | -0.4696 standard deviations from the yearly mean | +216.6% |
| 1999 | -0.8925 standard deviations from the yearly mean | +90.1% |
| 2000 | -0.5195 standard deviations from the yearly mean | -41.8% |
| 2001 | -0.4958 standard deviations from the yearly mean | -4.6% |
| 2002 | -0.4863 standard deviations from the yearly mean | -1.9% |
| 2003 | -0.2805 standard deviations from the yearly mean | -42.3% |
| 2004 | -0.4744 standard deviations from the yearly mean | +69.1% |
| 2005 | -0.1692 standard deviations from the yearly mean | -64.3% |
| 2006 | -0.2204 standard deviations from the yearly mean | +30.2% |
| 2007 | -0.3935 standard deviations from the yearly mean | +78.5% |
| 2008 | -0.253 standard deviations from the yearly mean | -35.7% |
| 2009 | -0.0914 standard deviations from the yearly mean | -63.9% |
| 2010 | -0.0508 standard deviations from the yearly mean | -44.4% |
| 2011 | -0.0263 standard deviations from the yearly mean | -48.3% |
| 2012 | -0.3245 standard deviations from the yearly mean | +1134.8% |
| 2013 | -0.3331 standard deviations from the yearly mean | +2.7% |
| 2014 | -0.2612 standard deviations from the yearly mean | -21.6% |
| 2015 | -0.2627 standard deviations from the yearly mean | +0.6% |
| 2016 | -0.2472 standard deviations from the yearly mean | -5.9% |
| 2017 | -0.2582 standard deviations from the yearly mean | +4.5% |
| 2018 | -0.2061 standard deviations from the yearly mean | -20.2% |
| 2019 | -0.205 standard deviations from the yearly mean | -0.5% |
| 2020 | -0.1971 standard deviations from the yearly mean | -3.9% |
| 2021 | -0.0977 standard deviations from the yearly mean | -50.5% |
| 2022 | -0.1237 standard deviations from the yearly mean | +26.7% |
| 2023 | 0.1885 standard deviations from the yearly mean | -252.4% |
| 2024 | 0.401 standard deviations from the yearly mean | +112.7% |
Bhutan compared with similar countries
- Bhutan's 0.401 standard deviations from the yearly mean is above the median for lower middle income countries, which is -0.5991 standard deviations from the yearly mean. (47 countries reporting)
- Bhutan's 0.401 standard deviations from the yearly mean is below the median for South Asia, which is 0.4427 standard deviations from the yearly mean, 91% of the median. (6 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Bhutan 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 |
|---|---|---|---|
| 2012 | -1134.8% | -0.0263 standard deviations from the yearly mean | -0.3245 standard deviations from the yearly mean |
| 1994 | -405.9% | -0.1406 standard deviations from the yearly mean | -0.7112 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -0.774 standard deviations from the yearly mean | -1.04 standard deviations from the yearly mean | -0.3007 standard deviations from the yearly mean | 10 |
| 1990s | -0.3461 standard deviations from the yearly mean | -0.8925 standard deviations from the yearly mean | -0.0266 standard deviations from the yearly mean | 10 |
| 2000s | -0.3384 standard deviations from the yearly mean | -0.5195 standard deviations from the yearly mean | -0.0914 standard deviations from the yearly mean | 10 |
| 2010s | -0.2175 standard deviations from the yearly mean | -0.3331 standard deviations from the yearly mean | -0.0263 standard deviations from the yearly mean | 10 |
| 2020s | 0.0342 standard deviations from the yearly mean | -0.1971 standard deviations from the yearly mean | 0.401 standard deviations from the yearly mean | 5 |
Countries ranked near Bhutan
- 77 Uzbekistan 0.4226 standard deviations from the yearly mean compare
- 78 Russia 0.4139 standard deviations from the yearly mean compare
- 79 Macao 0.4016 standard deviations from the yearly mean compare
- 81 Isle of Man 0.3935 standard deviations from the yearly mean compare
- 82 Trinidad and Tobago 0.3893 standard deviations from the yearly mean compare
- 83 Kazakhstan 0.3433 standard deviations from the yearly mean compare
More health data for Bhutan
- Un projection of annual infant deaths, annual growth rate -10 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.0915 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,531 deaths per 1,000 people (2090)
- Number of infants who die before age 1 9 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate 0.2986 % 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 0.0299 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.3987 % 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 Bhutan?
- Health system composite index in Bhutan was 0.401 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Bhutan?
- The highest recorded value was 0.401 standard deviations from the yearly mean in 2024.
- What is the lowest health system composite index recorded in Bhutan?
- The lowest recorded value was -1.04 standard deviations from the yearly mean in 1982.
- How does Bhutan rank for health system composite index?
- Bhutan ranks 80th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Bhutan?
- Over the last ten years it is up 253.5%. The long-run trend across the full record is volatile.
- Where does this Bhutan 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.