Health system composite index in Africa Eastern and Southern
Africa Eastern and Southern: Health system composite index was -1.17 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Africa Eastern and Southern, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Africa Eastern and Southern is -1.17 standard deviations from the yearly mean, measured in 2024.
The figure is down 1.2% on the previous year and down 8.9% over ten years.
Over the whole period, health system composite index in Africa Eastern and Southern peaked at -0.9068 standard deviations from the yearly mean in 1984 and was at its lowest, -1.51 standard deviations from the yearly mean, in 1999.
That places Africa Eastern and Southern 37th out of 45 groups with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 45 years of available data.
Health system composite index in Africa Eastern and Southern, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -1.04 standard deviations from the yearly mean | — |
| 1981 | -0.9527 standard deviations from the yearly mean | -8.7% |
| 1982 | -0.9353 standard deviations from the yearly mean | -1.8% |
| 1983 | -0.913 standard deviations from the yearly mean | -2.4% |
| 1984 | -0.9068 standard deviations from the yearly mean | -0.7% |
| 1985 | -0.9336 standard deviations from the yearly mean | +3.0% |
| 1986 | -0.9345 standard deviations from the yearly mean | +0.1% |
| 1987 | -0.9225 standard deviations from the yearly mean | -1.3% |
| 1988 | -1 standard deviations from the yearly mean | +8.6% |
| 1989 | -1.08 standard deviations from the yearly mean | +7.6% |
| 1990 | -1.17 standard deviations from the yearly mean | +9.0% |
| 1991 | -1.26 standard deviations from the yearly mean | +7.4% |
| 1992 | -1.26 standard deviations from the yearly mean | +0.0% |
| 1993 | -1.24 standard deviations from the yearly mean | -1.8% |
| 1994 | -1.18 standard deviations from the yearly mean | -4.8% |
| 1995 | -1.33 standard deviations from the yearly mean | +12.5% |
| 1996 | -1.3 standard deviations from the yearly mean | -2.2% |
| 1997 | -1.3 standard deviations from the yearly mean | -0.1% |
| 1998 | -1.4 standard deviations from the yearly mean | +7.9% |
| 1999 | -1.51 standard deviations from the yearly mean | +8.4% |
| 2000 | -1.46 standard deviations from the yearly mean | -3.3% |
| 2001 | -1.44 standard deviations from the yearly mean | -1.4% |
| 2002 | -1.41 standard deviations from the yearly mean | -2.6% |
| 2003 | -1.41 standard deviations from the yearly mean | -0.2% |
| 2004 | -1.35 standard deviations from the yearly mean | -3.6% |
| 2005 | -1.41 standard deviations from the yearly mean | +4.0% |
| 2006 | -1.34 standard deviations from the yearly mean | -4.7% |
| 2007 | -1.28 standard deviations from the yearly mean | -4.4% |
| 2008 | -1.27 standard deviations from the yearly mean | -0.8% |
| 2009 | -1.16 standard deviations from the yearly mean | -8.8% |
| 2010 | -1.12 standard deviations from the yearly mean | -3.5% |
| 2011 | -1.15 standard deviations from the yearly mean | +2.3% |
| 2012 | -1.13 standard deviations from the yearly mean | -1.4% |
| 2013 | -1.14 standard deviations from the yearly mean | +1.0% |
| 2014 | -1.07 standard deviations from the yearly mean | -6.1% |
| 2015 | -1.1 standard deviations from the yearly mean | +2.6% |
| 2016 | -1.13 standard deviations from the yearly mean | +2.6% |
| 2017 | -1.11 standard deviations from the yearly mean | -1.4% |
| 2018 | -1.09 standard deviations from the yearly mean | -1.6% |
| 2019 | -1.04 standard deviations from the yearly mean | -4.9% |
| 2020 | -1 standard deviations from the yearly mean | -3.9% |
| 2021 | -0.9917 standard deviations from the yearly mean | -0.8% |
| 2022 | -0.9897 standard deviations from the yearly mean | -0.2% |
| 2023 | -1.15 standard deviations from the yearly mean | +16.5% |
| 2024 | -1.17 standard deviations from the yearly mean | +1.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -0.9623 standard deviations from the yearly mean | -1.08 standard deviations from the yearly mean | -0.9068 standard deviations from the yearly mean | 10 |
| 1990s | -1.3 standard deviations from the yearly mean | -1.51 standard deviations from the yearly mean | -1.17 standard deviations from the yearly mean | 10 |
| 2000s | -1.35 standard deviations from the yearly mean | -1.46 standard deviations from the yearly mean | -1.16 standard deviations from the yearly mean | 10 |
| 2010s | -1.11 standard deviations from the yearly mean | -1.15 standard deviations from the yearly mean | -1.04 standard deviations from the yearly mean | 10 |
| 2020s | -1.06 standard deviations from the yearly mean | -1.17 standard deviations from the yearly mean | -0.9897 standard deviations from the yearly mean | 5 |
Countries ranked near Africa Eastern and Southern
- 34 Jordan 0.8174 standard deviations from the yearly mean compare
- 35 Costa Rica 0.8113 standard deviations from the yearly mean compare
- 36 Iran, Islamic Republic of 0.8082 standard deviations from the yearly mean compare
- 37 Greece 0.7975 standard deviations from the yearly mean compare
- 38 Sri Lanka 0.7951 standard deviations from the yearly mean compare
- 39 Saudi Arabia 0.7777 standard deviations from the yearly mean compare
- 40 Austria 0.7714 standard deviations from the yearly mean compare
More health data for Africa Eastern and Southern
- Population ages 0-14, total, annual growth rate 1.85 % change on previous year (2025)
- Population ages 65 and above, female, annual growth rate 4.07 % change on previous year (2025)
- Population ages 15-64, total, per capita 0.5659 units per person (2025)
- Population ages 15-64, total, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Population ages 15-64, total, annual growth rate 2.96 % change on previous year (2025)
- Population ages 15-64, male, per capita 0.2788 units per person (2025)
- Population ages 15-64, male, per unit of GDP 0.0002 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 15-64, male, annual growth rate 2.99 % change on previous year (2025)
- Population ages 15-64, female, per capita 0.2871 units per person (2025)
Frequently asked questions
- What is health system composite index in Africa Eastern and Southern?
- Health system composite index in Africa Eastern and Southern was -1.17 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Africa Eastern and Southern?
- The highest recorded value was -0.9068 standard deviations from the yearly mean in 1984.
- What is the lowest health system composite index recorded in Africa Eastern and Southern?
- The lowest recorded value was -1.51 standard deviations from the yearly mean in 1999.
- How does Africa Eastern and Southern rank for health system composite index?
- Africa Eastern and Southern ranks 37th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Africa Eastern and Southern?
- Over the last ten years it is down 8.9%. The long-run trend across the full record is falling.
- Where does this Africa Eastern and Southern 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.