Health system composite index in Sub-Saharan Africa (IDA & IBRD countries)
Sub-Saharan Africa (IDA & IBRD countries): Health system composite index was -1.4 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Sub-Saharan Africa (IDA & IBRD countries), 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
The most recent figure for health system composite index in Sub-Saharan Africa (IDA & IBRD countries) is -1.4 standard deviations from the yearly mean, measured in 2024.
That represents a change of up 1.4% on the previous year and up 7.6% over ten years.
Over the whole period, health system composite index in Sub-Saharan Africa (IDA & IBRD countries) peaked at -1.1 standard deviations from the yearly mean in 1986 and was at its lowest, -1.64 standard deviations from the yearly mean, in 1999.
That places Sub-Saharan Africa (IDA & IBRD countries) 41st 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 Sub-Saharan Africa (IDA & IBRD countries), year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -1.16 standard deviations from the yearly mean | — |
| 1981 | -1.11 standard deviations from the yearly mean | -4.9% |
| 1982 | -1.1 standard deviations from the yearly mean | -0.2% |
| 1983 | -1.14 standard deviations from the yearly mean | +3.3% |
| 1984 | -1.11 standard deviations from the yearly mean | -2.4% |
| 1985 | -1.12 standard deviations from the yearly mean | +0.4% |
| 1986 | -1.1 standard deviations from the yearly mean | -1.9% |
| 1987 | -1.1 standard deviations from the yearly mean | +0.6% |
| 1988 | -1.15 standard deviations from the yearly mean | +4.7% |
| 1989 | -1.19 standard deviations from the yearly mean | +3.2% |
| 1990 | -1.3 standard deviations from the yearly mean | +9.4% |
| 1991 | -1.32 standard deviations from the yearly mean | +1.2% |
| 1992 | -1.4 standard deviations from the yearly mean | +6.2% |
| 1993 | -1.42 standard deviations from the yearly mean | +1.7% |
| 1994 | -1.41 standard deviations from the yearly mean | -0.8% |
| 1995 | -1.49 standard deviations from the yearly mean | +5.6% |
| 1996 | -1.51 standard deviations from the yearly mean | +1.3% |
| 1997 | -1.5 standard deviations from the yearly mean | -0.8% |
| 1998 | -1.56 standard deviations from the yearly mean | +4.1% |
| 1999 | -1.64 standard deviations from the yearly mean | +5.2% |
| 2000 | -1.61 standard deviations from the yearly mean | -1.6% |
| 2001 | -1.64 standard deviations from the yearly mean | +1.5% |
| 2002 | -1.63 standard deviations from the yearly mean | -0.4% |
| 2003 | -1.62 standard deviations from the yearly mean | -0.7% |
| 2004 | -1.57 standard deviations from the yearly mean | -3.0% |
| 2005 | -1.59 standard deviations from the yearly mean | +1.2% |
| 2006 | -1.56 standard deviations from the yearly mean | -2.1% |
| 2007 | -1.55 standard deviations from the yearly mean | -0.2% |
| 2008 | -1.49 standard deviations from the yearly mean | -3.9% |
| 2009 | -1.35 standard deviations from the yearly mean | -9.5% |
| 2010 | -1.4 standard deviations from the yearly mean | +3.4% |
| 2011 | -1.48 standard deviations from the yearly mean | +5.7% |
| 2012 | -1.57 standard deviations from the yearly mean | +6.3% |
| 2013 | -1.57 standard deviations from the yearly mean | +0.4% |
| 2014 | -1.52 standard deviations from the yearly mean | -3.7% |
| 2015 | -1.52 standard deviations from the yearly mean | +0.1% |
| 2016 | -1.47 standard deviations from the yearly mean | -3.2% |
| 2017 | -1.43 standard deviations from the yearly mean | -2.9% |
| 2018 | -1.42 standard deviations from the yearly mean | -0.4% |
| 2019 | -1.37 standard deviations from the yearly mean | -3.3% |
| 2020 | -1.31 standard deviations from the yearly mean | -4.9% |
| 2021 | -1.22 standard deviations from the yearly mean | -6.4% |
| 2022 | -1.3 standard deviations from the yearly mean | +6.4% |
| 2023 | -1.42 standard deviations from the yearly mean | +9.1% |
| 2024 | -1.4 standard deviations from the yearly mean | -1.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -1.13 standard deviations from the yearly mean | -1.19 standard deviations from the yearly mean | -1.1 standard deviations from the yearly mean | 10 |
| 1990s | -1.46 standard deviations from the yearly mean | -1.64 standard deviations from the yearly mean | -1.3 standard deviations from the yearly mean | 10 |
| 2000s | -1.56 standard deviations from the yearly mean | -1.64 standard deviations from the yearly mean | -1.35 standard deviations from the yearly mean | 10 |
| 2010s | -1.47 standard deviations from the yearly mean | -1.57 standard deviations from the yearly mean | -1.37 standard deviations from the yearly mean | 10 |
| 2020s | -1.33 standard deviations from the yearly mean | -1.42 standard deviations from the yearly mean | -1.22 standard deviations from the yearly mean | 5 |
Countries ranked near Sub-Saharan Africa (IDA & IBRD countries)
- 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
- 41 Malta 0.7662 standard deviations from the yearly mean compare
- 42 Uruguay 0.7648 standard deviations from the yearly mean compare
- 43 New Zealand 0.7351 standard deviations from the yearly mean compare
- 44 Netherlands 0.7319 standard deviations from the yearly mean compare
More health data for Sub-Saharan Africa (IDA & IBRD countries)
- Population ages 0-14, male, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 65 and above, female, annual growth rate 3.74 % change on previous year (2025)
- Population ages 0-14, total, per capita 0.4038 units per person (2025)
- Population ages 0-14, total, per unit of GDP 0.0002 units per US$ of GDP (2025)
- Population ages 0-14, total, annual growth rate 1.62 % change on previous year (2025)
- Population ages 0-14, male, per capita 0.2041 units per person (2025)
- Population ages 0-14, female, per capita 0.1997 units per person (2025)
- Population ages 0-14, female, annual growth rate 1.61 % change on previous year (2025)
- Population ages 0-14, female, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 15-64, female, annual growth rate 2.96 % change on previous year (2025)
Frequently asked questions
- What is health system composite index in Sub-Saharan Africa (IDA & IBRD countries)?
- Health system composite index in Sub-Saharan Africa (IDA & IBRD countries) was -1.4 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Sub-Saharan Africa (IDA & IBRD countries)?
- The highest recorded value was -1.1 standard deviations from the yearly mean in 1986.
- What is the lowest health system composite index recorded in Sub-Saharan Africa (IDA & IBRD countries)?
- The lowest recorded value was -1.64 standard deviations from the yearly mean in 1999.
- How does Sub-Saharan Africa (IDA & IBRD countries) rank for health system composite index?
- Sub-Saharan Africa (IDA & IBRD countries) ranks 41st out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Sub-Saharan Africa (IDA & IBRD countries)?
- Over the last ten years it is up 7.6%. The long-run trend across the full record is falling.
- Where does this Sub-Saharan Africa (IDA & IBRD countries) 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.