Inequality in life expectancy vs. health spending per capita in Uganda
Uganda: Inequality in life expectancy vs. health spending per capita was 0.2014 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Uganda, 2010–2023
Source: UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
Analysis
In 2023, inequality in life expectancy vs. health spending per capita in Uganda stood at 0.2014. That is the lowest value across all 14 years on record.
The figure is down 3.5% on the previous year and down 26.5% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Uganda peaked at 0.3079 in 2010 and was at its lowest, 0.2014, in 2023.
Uganda ranks 42nd of 195 countries on this measure, in the top quarter.
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 Uganda, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.3079 | — |
| 2011 | 0.2958 | -3.9% |
| 2012 | 0.2845 | -3.8% |
| 2013 | 0.2739 | -3.7% |
| 2014 | 0.2645 | -3.5% |
| 2015 | 0.2554 | -3.4% |
| 2016 | 0.2448 | -4.1% |
| 2017 | 0.2366 | -3.4% |
| 2018 | 0.228 | -3.7% |
| 2019 | 0.2222 | -2.5% |
| 2020 | 0.2149 | -3.3% |
| 2021 | 0.2112 | -1.7% |
| 2022 | 0.2087 | -1.2% |
| 2023 | 0.2014 | -3.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2614 | 0.2222 | 0.3079 | 10 |
| 2020s | 0.2091 | 0.2014 | 0.2149 | 4 |
Countries ranked near Uganda
- 39 Kenya 0.209 compare
- 40 Myanmar 0.2047 compare
- 41 Papua New Guinea 0.2024 compare
- 43 Congo 0.2005 compare
- 44 Tanzania, United Republic of 0.1989 compare
- 45 South Africa 0.1983 compare
More health data for Uganda
- Un projection of annual infant deaths, annual growth rate -2.2 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.34 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 853.6 deaths per 1,000 people (2090)
- Number of infants who die before age 1 6,666 deaths (2100)
- Population ages 40-44, male, annual growth rate 5.43 % change on previous year (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, per capita 0.0188 units per person (2025)
- Population ages 45-49, female, annual growth rate 3.65 % change on previous year (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, per capita 0.0152 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Uganda?
- Inequality in life expectancy vs. health spending per capita in Uganda was 0.2014 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 Uganda?
- The highest recorded value was 0.3079 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Uganda?
- The lowest recorded value was 0.2014 in 2023.
- How does Uganda rank for inequality in life expectancy vs. health spending per capita?
- Uganda ranks 42nd out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Uganda?
- Over the last ten years it is down 26.5%. The long-run trend across the full record is falling.
- Where does this Uganda 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.
Download this data
CSV · JSON — 14 observations, free to reuse under CC BY 4.0 (Our World in Data).
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.