Health system composite index in Bangladesh
Bangladesh: Health system composite index was 0.4843 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Bangladesh, 1965–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Bangladesh stood at 0.4843 standard deviations from the yearly mean. That is the highest value across all 47 years on record.
The figure is up 357.0% on the previous year and up 216.8% over ten years.
Over the whole period, health system composite index in Bangladesh peaked at 0.4843 standard deviations from the yearly mean in 2024 and was at its lowest, -1.76 standard deviations from the yearly mean, in 1988.
Bangladesh ranks 71st of 196 countries on this measure, 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 Bangladesh, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1965 | -0.7788 standard deviations from the yearly mean | — |
| 1970 | -1.06 standard deviations from the yearly mean | +36.1% |
| 1980 | -1.05 standard deviations from the yearly mean | -0.8% |
| 1981 | -1.11 standard deviations from the yearly mean | +5.9% |
| 1982 | -1.15 standard deviations from the yearly mean | +3.0% |
| 1983 | -1.26 standard deviations from the yearly mean | +9.4% |
| 1984 | -1.31 standard deviations from the yearly mean | +4.7% |
| 1985 | -1.33 standard deviations from the yearly mean | +1.6% |
| 1986 | -1.44 standard deviations from the yearly mean | +7.6% |
| 1987 | -1.68 standard deviations from the yearly mean | +16.7% |
| 1988 | -1.76 standard deviations from the yearly mean | +5.1% |
| 1989 | -0.9633 standard deviations from the yearly mean | -45.3% |
| 1990 | -0.8727 standard deviations from the yearly mean | -9.4% |
| 1991 | -1.03 standard deviations from the yearly mean | +18.0% |
| 1992 | -0.5599 standard deviations from the yearly mean | -45.6% |
| 1993 | -0.4511 standard deviations from the yearly mean | -19.4% |
| 1994 | -0.7274 standard deviations from the yearly mean | +61.2% |
| 1995 | -0.5951 standard deviations from the yearly mean | -18.2% |
| 1996 | -0.6388 standard deviations from the yearly mean | +7.3% |
| 1997 | -0.7461 standard deviations from the yearly mean | +16.8% |
| 1998 | -0.5144 standard deviations from the yearly mean | -31.1% |
| 1999 | -0.9551 standard deviations from the yearly mean | +85.6% |
| 2000 | -0.4229 standard deviations from the yearly mean | -55.7% |
| 2001 | -0.7107 standard deviations from the yearly mean | +68.0% |
| 2002 | -0.4026 standard deviations from the yearly mean | -43.4% |
| 2003 | -0.7144 standard deviations from the yearly mean | +77.5% |
| 2004 | -0.4772 standard deviations from the yearly mean | -33.2% |
| 2005 | -0.4254 standard deviations from the yearly mean | -10.9% |
| 2006 | -0.5858 standard deviations from the yearly mean | +37.7% |
| 2007 | -0.6244 standard deviations from the yearly mean | +6.6% |
| 2008 | -0.5094 standard deviations from the yearly mean | -18.4% |
| 2009 | -0.4652 standard deviations from the yearly mean | -8.7% |
| 2010 | -0.5662 standard deviations from the yearly mean | +21.7% |
| 2011 | -0.4791 standard deviations from the yearly mean | -15.4% |
| 2012 | -0.5879 standard deviations from the yearly mean | +22.7% |
| 2013 | -0.4995 standard deviations from the yearly mean | -15.0% |
| 2014 | -0.4147 standard deviations from the yearly mean | -17.0% |
| 2015 | -0.3522 standard deviations from the yearly mean | -15.1% |
| 2016 | -0.3347 standard deviations from the yearly mean | -5.0% |
| 2017 | -0.3094 standard deviations from the yearly mean | -7.6% |
| 2018 | -0.2608 standard deviations from the yearly mean | -15.7% |
| 2019 | -0.2732 standard deviations from the yearly mean | +4.7% |
| 2020 | -0.2522 standard deviations from the yearly mean | -7.7% |
| 2021 | -0.26 standard deviations from the yearly mean | +3.1% |
| 2022 | -0.1934 standard deviations from the yearly mean | -25.6% |
| 2023 | -0.1885 standard deviations from the yearly mean | -2.5% |
| 2024 | 0.4843 standard deviations from the yearly mean | -357.0% |
Bangladesh compared with similar countries
- Bangladesh's 0.4843 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)
- Bangladesh's 0.4843 standard deviations from the yearly mean is above the median for South Asia, which is 0.4427 standard deviations from the yearly mean, 1.1× the median. (6 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Bangladesh 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 |
|---|---|---|---|
| 2024 | +357.0% | -0.1885 standard deviations from the yearly mean | 0.4843 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.7788 standard deviations from the yearly mean | -0.7788 standard deviations from the yearly mean | -0.7788 standard deviations from the yearly mean | 1 |
| 1970s | -1.06 standard deviations from the yearly mean | -1.06 standard deviations from the yearly mean | -1.06 standard deviations from the yearly mean | 1 |
| 1980s | -1.31 standard deviations from the yearly mean | -1.76 standard deviations from the yearly mean | -0.9633 standard deviations from the yearly mean | 10 |
| 1990s | -0.709 standard deviations from the yearly mean | -1.03 standard deviations from the yearly mean | -0.4511 standard deviations from the yearly mean | 10 |
| 2000s | -0.5338 standard deviations from the yearly mean | -0.7144 standard deviations from the yearly mean | -0.4026 standard deviations from the yearly mean | 10 |
| 2010s | -0.4078 standard deviations from the yearly mean | -0.5879 standard deviations from the yearly mean | -0.2608 standard deviations from the yearly mean | 10 |
| 2020s | -0.0819 standard deviations from the yearly mean | -0.26 standard deviations from the yearly mean | 0.4843 standard deviations from the yearly mean | 5 |
Countries ranked near Bangladesh
- 68 Belarus 0.5183 standard deviations from the yearly mean compare
- 69 North Korea 0.5106 standard deviations from the yearly mean compare
- 70 Thailand 0.4904 standard deviations from the yearly mean compare
- 72 Mauritius 0.4765 standard deviations from the yearly mean compare
- 73 Bulgaria 0.4697 standard deviations from the yearly mean compare
- 74 Tonga 0.4619 standard deviations from the yearly mean compare
More health data for Bangladesh
- Un projection of annual infant deaths, annual growth rate -2.36 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.15 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,153 deaths per 1,000 people (2090)
- Number of infants who die before age 1 4,062 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 35 (2025)
- Population ages 00-04, female, annual growth rate 0.8772 % 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 0.0468 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.7714 % 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 Bangladesh?
- Health system composite index in Bangladesh was 0.4843 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Bangladesh?
- The highest recorded value was 0.4843 standard deviations from the yearly mean in 2024.
- What is the lowest health system composite index recorded in Bangladesh?
- The lowest recorded value was -1.76 standard deviations from the yearly mean in 1988.
- How does Bangladesh rank for health system composite index?
- Bangladesh ranks 71st out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Bangladesh?
- Over the last ten years it is up 216.8%. The long-run trend across the full record is volatile.
- Where does this Bangladesh 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 — 47 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.