Health system composite index in Guinea-Bissau
Guinea-Bissau: Health system composite index was -1.45 standard deviations from the yearly mean in 2024. ▬ Flat
Health system composite index in Guinea-Bissau, 1960–2024
Source: Statizoid (derived). Measured in standard deviations from the yearly mean.
Analysis
In 2024, health system composite index in Guinea-Bissau stood at -1.45 standard deviations from the yearly mean.
The figure is down 23.6% on the previous year and down 47.6% over ten years.
Over the whole period, health system composite index in Guinea-Bissau peaked at -0.7709 standard deviations from the yearly mean in 1987 and was at its lowest, -1.85 standard deviations from the yearly mean, in 1995.
That places Guinea-Bissau 179th out of 196 countries with data for 2024, putting it in the bottom quarter.
Health system composite index in Guinea-Bissau, year by year
| Year | standard deviations from the yearly mean | Change |
|---|---|---|
| 1960 | -0.9464 standard deviations from the yearly mean | — |
| 1970 | -1.13 standard deviations from the yearly mean | +19.1% |
| 1980 | -1.21 standard deviations from the yearly mean | +7.6% |
| 1981 | -1.32 standard deviations from the yearly mean | +8.8% |
| 1983 | -1.22 standard deviations from the yearly mean | -7.6% |
| 1984 | -1.19 standard deviations from the yearly mean | -2.0% |
| 1985 | -1.16 standard deviations from the yearly mean | -3.2% |
| 1986 | -0.8775 standard deviations from the yearly mean | -24.1% |
| 1987 | -0.7709 standard deviations from the yearly mean | -12.1% |
| 1988 | -1.24 standard deviations from the yearly mean | +61.3% |
| 1989 | -1.11 standard deviations from the yearly mean | -10.5% |
| 1990 | -1.29 standard deviations from the yearly mean | +16.3% |
| 1991 | -1.49 standard deviations from the yearly mean | +15.2% |
| 1992 | -1.25 standard deviations from the yearly mean | -15.9% |
| 1993 | -1.08 standard deviations from the yearly mean | -13.5% |
| 1994 | -1.17 standard deviations from the yearly mean | +7.8% |
| 1995 | -1.85 standard deviations from the yearly mean | +57.9% |
| 1996 | -1.53 standard deviations from the yearly mean | -17.1% |
| 1997 | -1.69 standard deviations from the yearly mean | +10.4% |
| 1998 | -1.4 standard deviations from the yearly mean | -17.2% |
| 1999 | -1.19 standard deviations from the yearly mean | -14.8% |
| 2000 | -1.11 standard deviations from the yearly mean | -6.6% |
| 2001 | -1.12 standard deviations from the yearly mean | +0.9% |
| 2002 | -1.1 standard deviations from the yearly mean | -1.8% |
| 2003 | -1.11 standard deviations from the yearly mean | +0.8% |
| 2004 | -1.07 standard deviations from the yearly mean | -3.6% |
| 2005 | -1.14 standard deviations from the yearly mean | +6.0% |
| 2006 | -1.22 standard deviations from the yearly mean | +7.2% |
| 2007 | -1.27 standard deviations from the yearly mean | +4.5% |
| 2008 | -1.32 standard deviations from the yearly mean | +3.5% |
| 2009 | -1.24 standard deviations from the yearly mean | -5.6% |
| 2010 | -1.22 standard deviations from the yearly mean | -2.1% |
| 2011 | -1.07 standard deviations from the yearly mean | -12.1% |
| 2012 | -1.07 standard deviations from the yearly mean | +0.3% |
| 2013 | -1.05 standard deviations from the yearly mean | -2.0% |
| 2014 | -0.9811 standard deviations from the yearly mean | -6.8% |
| 2015 | -1.07 standard deviations from the yearly mean | +9.3% |
| 2016 | -1.06 standard deviations from the yearly mean | -1.2% |
| 2017 | -1.51 standard deviations from the yearly mean | +42.9% |
| 2018 | -1.01 standard deviations from the yearly mean | -33.4% |
| 2019 | -0.9991 standard deviations from the yearly mean | -0.8% |
| 2020 | -1.19 standard deviations from the yearly mean | +18.8% |
| 2021 | -1.29 standard deviations from the yearly mean | +8.5% |
| 2022 | -0.9702 standard deviations from the yearly mean | -24.7% |
| 2023 | -1.17 standard deviations from the yearly mean | +20.8% |
| 2024 | -1.45 standard deviations from the yearly mean | +23.6% |
Guinea-Bissau compared with similar countries
- Guinea-Bissau's -1.45 standard deviations from the yearly mean is below the median for low income countries, which is -1.05 standard deviations from the yearly mean, 1.4× the median. (25 countries reporting)
- Guinea-Bissau's -1.45 standard deviations from the yearly mean is below the median for Sub-Saharan Africa, which is -0.9444 standard deviations from the yearly mean, 1.5× the median. (48 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | -0.9464 standard deviations from the yearly mean | -0.9464 standard deviations from the yearly mean | -0.9464 standard deviations from the yearly mean | 1 |
| 1970s | -1.13 standard deviations from the yearly mean | -1.13 standard deviations from the yearly mean | -1.13 standard deviations from the yearly mean | 1 |
| 1980s | -1.12 standard deviations from the yearly mean | -1.32 standard deviations from the yearly mean | -0.7709 standard deviations from the yearly mean | 9 |
| 1990s | -1.39 standard deviations from the yearly mean | -1.85 standard deviations from the yearly mean | -1.08 standard deviations from the yearly mean | 10 |
| 2000s | -1.17 standard deviations from the yearly mean | -1.32 standard deviations from the yearly mean | -1.07 standard deviations from the yearly mean | 10 |
| 2010s | -1.1 standard deviations from the yearly mean | -1.51 standard deviations from the yearly mean | -0.9811 standard deviations from the yearly mean | 10 |
| 2020s | -1.21 standard deviations from the yearly mean | -1.45 standard deviations from the yearly mean | -0.9702 standard deviations from the yearly mean | 5 |
Countries ranked near Guinea-Bissau
- 176 Cameroon -1.24 standard deviations from the yearly mean compare
- 177 Gabon -1.44 standard deviations from the yearly mean compare
- 178 Mali -1.45 standard deviations from the yearly mean compare
- 180 Mozambique -1.48 standard deviations from the yearly mean compare
- 181 South Sudan -1.66 standard deviations from the yearly mean compare
- 182 Afghanistan -1.67 standard deviations from the yearly mean compare
More health data for Guinea-Bissau
- Un projection of annual infant deaths, annual growth rate -1.67 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.7721 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,070 deaths per 1,000 people (2090)
- Number of infants who die before age 1 941 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate 0.899 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0.0001 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0664 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.8987 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0.0001 units per US$ of GDP (2025)
Frequently asked questions
- What is health system composite index in Guinea-Bissau?
- Health system composite index in Guinea-Bissau was -1.45 standard deviations from the yearly mean in 2024, according to Statizoid (derived).
- What is the highest health system composite index recorded in Guinea-Bissau?
- The highest recorded value was -0.7709 standard deviations from the yearly mean in 1987.
- What is the lowest health system composite index recorded in Guinea-Bissau?
- The lowest recorded value was -1.85 standard deviations from the yearly mean in 1995.
- How does Guinea-Bissau rank for health system composite index?
- Guinea-Bissau ranks 179th out of 196 countries with data for 2024.
- Is health system composite index rising or falling in Guinea-Bissau?
- Over the last ten years it is down 47.6%. The long-run trend across the full record is flat.
- Where does this Guinea-Bissau 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 — 46 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.