Inequality in life expectancy vs. health spending per capita in Liberia
Liberia: Inequality in life expectancy vs. health spending per capita was 0.2923 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Liberia, 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 Liberia stood at 0.2923. That is the lowest value across all 14 years on record.
That represents a change of down 1.9% on the previous year and down 14.6% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Liberia peaked at 0.3623 in 2010 and was at its lowest, 0.2923, in 2023.
Liberia ranks 14th 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 Liberia, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.3623 | — |
| 2011 | 0.3534 | -2.5% |
| 2012 | 0.3472 | -1.8% |
| 2013 | 0.3421 | -1.5% |
| 2014 | 0.3457 | +1.1% |
| 2015 | 0.3417 | -1.2% |
| 2016 | 0.3271 | -4.3% |
| 2017 | 0.3222 | -1.5% |
| 2018 | 0.3181 | -1.3% |
| 2019 | 0.3121 | -1.9% |
| 2020 | 0.307 | -1.6% |
| 2021 | 0.3012 | -1.9% |
| 2022 | 0.2978 | -1.1% |
| 2023 | 0.2923 | -1.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.3372 | 0.3121 | 0.3623 | 10 |
| 2020s | 0.2996 | 0.2923 | 0.307 | 4 |
Countries ranked near Liberia
- 11 Burkina Faso 0.3109 compare
- 12 Congo, Democratic Republic of the 0.3077 compare
- 13 Lesotho 0.2999 compare
- 15 Equatorial Guinea 0.289 compare
- 16 Guinea-Bissau 0.286 compare
- 17 Madagascar 0.2857 compare
More health data for Liberia
- Un projection of annual infant deaths, annual growth rate -1.57 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.7528 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,097 deaths per 1,000 people (2090)
- Number of infants who die before age 1 3,457 deaths (2100)
- Population ages 30-34, female, annual growth rate 2.37 % change on previous year (2025)
- Population ages 30-34, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, female, per capita 0.0318 units per person (2025)
- Population ages 30-34, male, annual growth rate 2.52 % change on previous year (2025)
- Population ages 30-34, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 30-34, male, per capita 0.0316 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Liberia?
- Inequality in life expectancy vs. health spending per capita in Liberia was 0.2923 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 Liberia?
- The highest recorded value was 0.3623 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Liberia?
- The lowest recorded value was 0.2923 in 2023.
- How does Liberia rank for inequality in life expectancy vs. health spending per capita?
- Liberia ranks 14th out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Liberia?
- Over the last ten years it is down 14.6%. The long-run trend across the full record is falling.
- Where does this Liberia 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.