Inequality in life expectancy vs. health spending per capita in Guinea-Bissau
Guinea-Bissau: Inequality in life expectancy vs. health spending per capita was 0.286 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Guinea-Bissau, 2010–2023
Source: UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
Analysis
Guinea-Bissau recorded 0.286 for inequality in life expectancy vs. health spending per capita in 2023. That is the lowest value across all 14 years on record.
The figure is down 1.9% on the previous year and down 19.7% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Guinea-Bissau peaked at 0.384 in 2010 and was at its lowest, 0.286, in 2023.
Guinea-Bissau ranks 16th of 195 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 14 years of available data.
Inequality in life expectancy vs. health spending per capita in Guinea-Bissau, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.384 | — |
| 2011 | 0.3739 | -2.6% |
| 2012 | 0.3647 | -2.4% |
| 2013 | 0.356 | -2.4% |
| 2014 | 0.3477 | -2.3% |
| 2015 | 0.34 | -2.2% |
| 2016 | 0.3312 | -2.6% |
| 2017 | 0.3246 | -2.0% |
| 2018 | 0.3182 | -2.0% |
| 2019 | 0.3105 | -2.4% |
| 2020 | 0.3024 | -2.6% |
| 2021 | 0.2959 | -2.2% |
| 2022 | 0.2915 | -1.5% |
| 2023 | 0.286 | -1.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.3451 | 0.3105 | 0.384 | 10 |
| 2020s | 0.2939 | 0.286 | 0.3024 | 4 |
Countries ranked near Guinea-Bissau
- 13 Lesotho 0.2999 compare
- 14 Liberia 0.2923 compare
- 15 Equatorial Guinea 0.289 compare
- 17 Madagascar 0.2857 compare
- 18 Côte d'Ivoire 0.285 compare
- 19 Cameroon 0.2794 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 inequality in life expectancy vs. health spending per capita in Guinea-Bissau?
- Inequality in life expectancy vs. health spending per capita in Guinea-Bissau was 0.286 in 2023, according to UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
- What is the highest inequality in life expectancy vs. health spending per capita recorded in Guinea-Bissau?
- The highest recorded value was 0.384 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Guinea-Bissau?
- The lowest recorded value was 0.286 in 2023.
- How does Guinea-Bissau rank for inequality in life expectancy vs. health spending per capita?
- Guinea-Bissau ranks 16th out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Guinea-Bissau?
- Over the last ten years it is down 19.7%. The long-run trend across the full record is falling.
- Where does this Guinea-Bissau data come from?
- The figures come from UNDP, Human Development Report (2025) – with minor processing by Our World in Data, published as part of Inequality in life expectancy vs. health spending per capita. Statizoid updates them automatically from the source API.
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About this data
The Atkinson index measures inequality on a scale from 0 to 1. Higher values indicate higher inequality. Inequality is measured here in terms of the number of years a newborn would live if age-specific mortality rates in the current year were to stay the same throughout its life.