Health system composite index in Zimbabwe
Zimbabwe: Health system composite index was -0.5991 standard deviations from the yearly mean in 2024. ◆ Volatile
Health system composite index in Zimbabwe, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
Zimbabwe recorded -0.5991 standard deviations from the yearly mean for health system composite index in 2024.
Compared with earlier readings it is up 19.4% on the previous year and up 20.6% over ten years.
Over the whole period, health system composite index in Zimbabwe peaked at 0.4024 standard deviations from the yearly mean in 1986 and was at its lowest, -1.82 standard deviations from the yearly mean, in 2006.
Zimbabwe ranks 149th of 196 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Health system composite index in Zimbabwe, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | -0.1183 standard deviations from the yearly mean | — |
| 1965 | -0.3296 standard deviations from the yearly mean | +178.6% |
| 1970 | -0.2415 standard deviations from the yearly mean | -26.7% |
| 1975 | -0.2258 standard deviations from the yearly mean | -6.5% |
| 1980 | -0.5935 standard deviations from the yearly mean | +162.9% |
| 1981 | -0.0998 standard deviations from the yearly mean | -83.2% |
| 1982 | 0.2677 standard deviations from the yearly mean | -368.2% |
| 1983 | 0.1666 standard deviations from the yearly mean | -37.8% |
| 1984 | 0.1694 standard deviations from the yearly mean | +1.7% |
| 1985 | -0.138 standard deviations from the yearly mean | -181.4% |
| 1986 | 0.4024 standard deviations from the yearly mean | -391.7% |
| 1987 | -0.4541 standard deviations from the yearly mean | -212.9% |
| 1988 | 0.3384 standard deviations from the yearly mean | -174.5% |
| 1989 | 0.1351 standard deviations from the yearly mean | -60.1% |
| 1990 | -0.4843 standard deviations from the yearly mean | -458.6% |
| 1991 | -0.0506 standard deviations from the yearly mean | -89.6% |
| 1992 | -0.1551 standard deviations from the yearly mean | +206.5% |
| 1993 | -0.288 standard deviations from the yearly mean | +85.7% |
| 1994 | -0.3528 standard deviations from the yearly mean | +22.5% |
| 1995 | -0.7034 standard deviations from the yearly mean | +99.4% |
| 1996 | -0.6286 standard deviations from the yearly mean | -10.6% |
| 1997 | -0.7756 standard deviations from the yearly mean | +23.4% |
| 1998 | -0.9487 standard deviations from the yearly mean | +22.3% |
| 1999 | -1.11 standard deviations from the yearly mean | +17.3% |
| 2000 | -1.29 standard deviations from the yearly mean | +16.0% |
| 2001 | -1.44 standard deviations from the yearly mean | +11.8% |
| 2002 | -1.49 standard deviations from the yearly mean | +3.6% |
| 2003 | -1.67 standard deviations from the yearly mean | +11.4% |
| 2004 | -1.5 standard deviations from the yearly mean | -10.2% |
| 2005 | -1.63 standard deviations from the yearly mean | +8.8% |
| 2006 | -1.82 standard deviations from the yearly mean | +11.9% |
| 2007 | -1.68 standard deviations from the yearly mean | -7.9% |
| 2008 | -1.61 standard deviations from the yearly mean | -4.2% |
| 2009 | -1.21 standard deviations from the yearly mean | -24.8% |
| 2010 | -0.9218 standard deviations from the yearly mean | -23.6% |
| 2011 | -0.8617 standard deviations from the yearly mean | -6.5% |
| 2012 | -0.7475 standard deviations from the yearly mean | -13.3% |
| 2013 | -0.8929 standard deviations from the yearly mean | +19.4% |
| 2014 | -0.7543 standard deviations from the yearly mean | -15.5% |
| 2015 | -0.9661 standard deviations from the yearly mean | +28.1% |
| 2016 | -0.7001 standard deviations from the yearly mean | -27.5% |
| 2017 | -0.8208 standard deviations from the yearly mean | +17.2% |
| 2018 | -0.8286 standard deviations from the yearly mean | +0.9% |
| 2019 | -0.9479 standard deviations from the yearly mean | +14.4% |
| 2020 | -0.8719 standard deviations from the yearly mean | -8.0% |
| 2021 | -0.8114 standard deviations from the yearly mean | -6.9% |
| 2022 | -0.695 standard deviations from the yearly mean | -14.3% |
| 2023 | -0.7434 standard deviations from the yearly mean | +7.0% |
| 2024 | -0.5991 standard deviations from the yearly mean | -19.4% |
Zimbabwe compared with similar countries
- Zimbabwe's -0.5991 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, 1.0× the median. (47 countries reporting)
- Zimbabwe's -0.5991 standard deviations from the yearly mean is above the median for Sub-Saharan Africa, which is -0.9444 standard deviations from the yearly mean, 63% of the median. (48 countries reporting)
Biggest year-on-year movements
Years where Health system composite index in Zimbabwe 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 |
|---|---|---|---|
| 1990 | -458.6% | 0.1351 standard deviations from the yearly mean | -0.4843 standard deviations from the yearly mean |
| 1986 | +391.7% | -0.138 standard deviations from the yearly mean | 0.4024 standard deviations from the yearly mean |
| 1982 | +368.2% | -0.0998 standard deviations from the yearly mean | 0.2677 standard deviations from the yearly mean |
| 1987 | -212.9% | 0.4024 standard deviations from the yearly mean | -0.4541 standard deviations from the yearly mean |
| 1992 | -206.5% | -0.0506 standard deviations from the yearly mean | -0.1551 standard deviations from the yearly mean |
| 1988 | +174.5% | -0.4541 standard deviations from the yearly mean | 0.3384 standard deviations from the yearly mean |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.224 standard deviations from the yearly mean | -0.3296 standard deviations from the yearly mean | -0.1183 standard deviations from the yearly mean | 2 |
| 1970s | -0.2336 standard deviations from the yearly mean | -0.2415 standard deviations from the yearly mean | -0.2258 standard deviations from the yearly mean | 2 |
| 1980s | 0.0194 standard deviations from the yearly mean | -0.5935 standard deviations from the yearly mean | 0.4024 standard deviations from the yearly mean | 10 |
| 1990s | -0.5499 standard deviations from the yearly mean | -1.11 standard deviations from the yearly mean | -0.0506 standard deviations from the yearly mean | 10 |
| 2000s | -1.53 standard deviations from the yearly mean | -1.82 standard deviations from the yearly mean | -1.21 standard deviations from the yearly mean | 10 |
| 2010s | -0.8442 standard deviations from the yearly mean | -0.9661 standard deviations from the yearly mean | -0.7001 standard deviations from the yearly mean | 10 |
| 2020s | -0.7442 standard deviations from the yearly mean | -0.8719 standard deviations from the yearly mean | -0.5991 standard deviations from the yearly mean | 5 |
Countries ranked near Zimbabwe
- 146 Azerbaijan -0.4763 standard deviations from the yearly mean compare
- 147 Solomon Islands -0.4955 standard deviations from the yearly mean compare
- 148 Tanzania -0.5232 standard deviations from the yearly mean compare
- 150 Venezuela -0.6141 standard deviations from the yearly mean compare
- 151 Kenya -0.6182 standard deviations from the yearly mean compare
- 152 Micronesia (country) -0.6249 standard deviations from the yearly mean compare
More health data for Zimbabwe
- Un projection of annual infant deaths, annual growth rate -1.39 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.11 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 874.6 deaths per 1,000 people (2090)
- Number of infants who die before age 1 4,457 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 2 (2025)
- Population ages 00-04, female, annual growth rate 0.9632 % 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 0.0689 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.9673 % 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 Zimbabwe?
- Health system composite index in Zimbabwe was -0.5991 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Zimbabwe?
- The highest recorded value was 0.4024 standard deviations from the yearly mean in 1986.
- What is the lowest health system composite index recorded in Zimbabwe?
- The lowest recorded value was -1.82 standard deviations from the yearly mean in 2006.
- How does Zimbabwe rank for health system composite index?
- Zimbabwe ranks 149th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Zimbabwe?
- Over the last ten years it is up 20.6%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe 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 — 49 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.