Health system composite index in Africa Western and Central
Africa Western and Central: Health system composite index was -1.75 standard deviations from the yearly mean in 2024. ▼ Falling
Health system composite index in Africa Western and Central, 1980–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Africa Western and Central stood at -1.75 standard deviations from the yearly mean.
Compared with earlier readings it is up 3.9% on the previous year and up 18.1% over ten years.
Over the whole period, health system composite index in Africa Western and Central peaked at -1.32 standard deviations from the yearly mean in 1981 and was at its lowest, -2.18 standard deviations from the yearly mean, in 2012.
That places Africa Western and Central 45th 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 Western and Central, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1980 | -1.33 standard deviations from the yearly mean | — |
| 1981 | -1.32 standard deviations from the yearly mean | -0.7% |
| 1982 | -1.34 standard deviations from the yearly mean | +1.6% |
| 1983 | -1.46 standard deviations from the yearly mean | +8.8% |
| 1984 | -1.4 standard deviations from the yearly mean | -4.0% |
| 1985 | -1.38 standard deviations from the yearly mean | -1.9% |
| 1986 | -1.33 standard deviations from the yearly mean | -3.6% |
| 1987 | -1.36 standard deviations from the yearly mean | +2.7% |
| 1988 | -1.37 standard deviations from the yearly mean | +0.9% |
| 1989 | -1.36 standard deviations from the yearly mean | -1.3% |
| 1990 | -1.49 standard deviations from the yearly mean | +9.8% |
| 1991 | -1.4 standard deviations from the yearly mean | -5.9% |
| 1992 | -1.6 standard deviations from the yearly mean | +14.1% |
| 1993 | -1.69 standard deviations from the yearly mean | +5.8% |
| 1994 | -1.75 standard deviations from the yearly mean | +3.4% |
| 1995 | -1.73 standard deviations from the yearly mean | -1.2% |
| 1996 | -1.82 standard deviations from the yearly mean | +5.3% |
| 1997 | -1.79 standard deviations from the yearly mean | -1.6% |
| 1998 | -1.79 standard deviations from the yearly mean | -0.0% |
| 1999 | -1.82 standard deviations from the yearly mean | +1.6% |
| 2000 | -1.83 standard deviations from the yearly mean | +0.5% |
| 2001 | -1.91 standard deviations from the yearly mean | +4.5% |
| 2002 | -1.95 standard deviations from the yearly mean | +1.9% |
| 2003 | -1.92 standard deviations from the yearly mean | -1.3% |
| 2004 | -1.88 standard deviations from the yearly mean | -2.5% |
| 2005 | -1.84 standard deviations from the yearly mean | -1.7% |
| 2006 | -1.85 standard deviations from the yearly mean | +0.6% |
| 2007 | -1.93 standard deviations from the yearly mean | +4.0% |
| 2008 | -1.8 standard deviations from the yearly mean | -6.7% |
| 2009 | -1.62 standard deviations from the yearly mean | -10.0% |
| 2010 | -1.78 standard deviations from the yearly mean | +10.1% |
| 2011 | -1.94 standard deviations from the yearly mean | +8.8% |
| 2012 | -2.18 standard deviations from the yearly mean | +12.4% |
| 2013 | -2.18 standard deviations from the yearly mean | -0.1% |
| 2014 | -2.13 standard deviations from the yearly mean | -1.9% |
| 2015 | -2.1 standard deviations from the yearly mean | -1.6% |
| 2016 | -1.95 standard deviations from the yearly mean | -7.2% |
| 2017 | -1.87 standard deviations from the yearly mean | -3.9% |
| 2018 | -1.89 standard deviations from the yearly mean | +0.8% |
| 2019 | -1.86 standard deviations from the yearly mean | -1.7% |
| 2020 | -1.76 standard deviations from the yearly mean | -5.4% |
| 2021 | -1.57 standard deviations from the yearly mean | -10.8% |
| 2022 | -1.77 standard deviations from the yearly mean | +12.8% |
| 2023 | -1.82 standard deviations from the yearly mean | +2.9% |
| 2024 | -1.75 standard deviations from the yearly mean | -3.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1980s | -1.37 standard deviations from the yearly mean | -1.46 standard deviations from the yearly mean | -1.32 standard deviations from the yearly mean | 10 |
| 1990s | -1.69 standard deviations from the yearly mean | -1.82 standard deviations from the yearly mean | -1.4 standard deviations from the yearly mean | 10 |
| 2000s | -1.85 standard deviations from the yearly mean | -1.95 standard deviations from the yearly mean | -1.62 standard deviations from the yearly mean | 10 |
| 2010s | -1.99 standard deviations from the yearly mean | -2.18 standard deviations from the yearly mean | -1.78 standard deviations from the yearly mean | 10 |
| 2020s | -1.73 standard deviations from the yearly mean | -1.82 standard deviations from the yearly mean | -1.57 standard deviations from the yearly mean | 5 |
Countries ranked near Africa Western and Central
- 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
- 45 Armenia 0.7297 standard deviations from the yearly mean compare
- 46 Antigua and Barbuda 0.7271 standard deviations from the yearly mean compare
- 47 Hungary 0.7265 standard deviations from the yearly mean compare
- 48 Panama 0.7229 standard deviations from the yearly mean compare
More health data for Africa Western and Central
- 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 3.15 % change on previous year (2025)
- Population ages 0-14, total, per capita 0.409 units per person (2025)
- Population ages 0-14, total, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Population ages 0-14, total, annual growth rate 1.29 % change on previous year (2025)
- Population ages 0-14, male, per capita 0.2073 units per person (2025)
- Population ages 0-14, female, per capita 0.2016 units per person (2025)
- Population ages 0-14, female, annual growth rate 1.3 % 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 3.02 % change on previous year (2025)
Frequently asked questions
- What is health system composite index in Africa Western and Central?
- Health system composite index in Africa Western and Central was -1.75 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Africa Western and Central?
- The highest recorded value was -1.32 standard deviations from the yearly mean in 1981.
- What is the lowest health system composite index recorded in Africa Western and Central?
- The lowest recorded value was -2.18 standard deviations from the yearly mean in 2012.
- How does Africa Western and Central rank for health system composite index?
- Africa Western and Central ranks 45th out of 45 groups with data for 2024.
- Is health system composite index rising or falling in Africa Western and Central?
- Over the last ten years it is up 18.1%. The long-run trend across the full record is falling.
- Where does this Africa Western and Central 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.