Inequality in life expectancy vs. health spending per capita in Congo
Congo: Inequality in life expectancy vs. health spending per capita was 0.2005 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Congo, 2010–2023
Source: UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
Analysis
Congo recorded 0.2005 for inequality in life expectancy vs. health spending per capita in 2023. That is the lowest value across all 14 years on record.
That represents a change of down 1.2% on the previous year and down 19.9% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Congo peaked at 0.2703 in 2010 and was at its lowest, 0.2005, in 2023.
That places Congo 43rd out of 195 countries with data for 2023, putting it 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 Congo, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2703 | — |
| 2011 | 0.2624 | -2.9% |
| 2012 | 0.2566 | -2.2% |
| 2013 | 0.2504 | -2.4% |
| 2014 | 0.2428 | -3.1% |
| 2015 | 0.2383 | -1.8% |
| 2016 | 0.2323 | -2.5% |
| 2017 | 0.2261 | -2.7% |
| 2018 | 0.222 | -1.8% |
| 2019 | 0.236 | +6.3% |
| 2020 | 0.2118 | -10.3% |
| 2021 | 0.2077 | -1.9% |
| 2022 | 0.2029 | -2.3% |
| 2023 | 0.2005 | -1.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2437 | 0.222 | 0.2703 | 10 |
| 2020s | 0.2057 | 0.2005 | 0.2118 | 4 |
Countries ranked near Congo
- 40 Myanmar 0.2047 compare
- 41 Papua New Guinea 0.2024 compare
- 42 Uganda 0.2014 compare
- 44 Tanzania, United Republic of 0.1989 compare
- 45 South Africa 0.1983 compare
- 46 Malawi 0.1981 compare
More health data for Congo
- Un projection of annual infant deaths, annual growth rate -0.4813 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.9705 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 759.5 deaths per 1,000 people (2090)
- Number of infants who die before age 1 2,688 deaths (2100)
- Population ages 75-79, female, annual growth rate 4.55 % change on previous year (2025)
- Population ages 75-79, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 75-79, female, per capita 0.0026 units per person (2025)
- Population ages 75-79, male, annual growth rate 4.06 % change on previous year (2025)
- Population ages 75-79, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 75-79, male, per capita 0.0021 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Congo?
- Inequality in life expectancy vs. health spending per capita in Congo was 0.2005 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 Congo?
- The highest recorded value was 0.2703 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Congo?
- The lowest recorded value was 0.2005 in 2023.
- How does Congo rank for inequality in life expectancy vs. health spending per capita?
- Congo ranks 43rd out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Congo?
- Over the last ten years it is down 19.9%. The long-run trend across the full record is falling.
- Where does this Congo 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.