Inequality in life expectancy vs. health spending per capita in Libya
Libya: Inequality in life expectancy vs. health spending per capita was 0.1684 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Libya, 2010–2023
Source: UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
Analysis
Libya recorded 0.1684 for inequality in life expectancy vs. health spending per capita in 2023. That is the highest value across all 14 years on record.
Compared with earlier readings it is up 127.4% on the previous year and up 72.3% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Libya peaked at 0.1684 in 2023 and was at its lowest, 0.0741, in 2022.
Libya ranks 60th of 195 countries on this measure, in the middle of the range.
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 Libya, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.1061 | — |
| 2011 | 0.1243 | +17.2% |
| 2012 | 0.1004 | -19.2% |
| 2013 | 0.0978 | -2.6% |
| 2014 | 0.103 | +5.3% |
| 2015 | 0.0991 | -3.7% |
| 2016 | 0.0971 | -2.0% |
| 2017 | 0.09 | -7.3% |
| 2018 | 0.0859 | -4.6% |
| 2019 | 0.0877 | +2.1% |
| 2020 | 0.0824 | -6.0% |
| 2021 | 0.0769 | -6.7% |
| 2022 | 0.0741 | -3.7% |
| 2023 | 0.1684 | +127.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0991 | 0.0859 | 0.1243 | 10 |
| 2020s | 0.1005 | 0.0741 | 0.1684 | 4 |
Countries ranked near Libya
- 57 Senegal 0.1799 compare
- 58 Dominica 0.1727 compare
- 59 Dominican Republic 0.1698 compare
- 61 Nauru 0.1682 compare
- 62 Marshall Islands 0.1643 compare
- 63 Bangladesh 0.1575 compare
More health data for Libya
- Un projection of annual infant deaths, annual growth rate -1.48 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.1 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,084 deaths per 1,000 people (2090)
- Number of infants who die before age 1 133 deaths (2100)
- Population ages 80 and above, female, per capita 0.0048 units per person (2025)
- Population ages 80 and above, male, annual growth rate 0.7262 % change on previous year (2025)
- Population ages 80 and above, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 80 and above, male, per capita 0.0038 units per person (2025)
- Pertussis - number of reported cases, gaps filled 991 (2025)
- Pertussis - number of reported cases, per capita 0.0001 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Libya?
- Inequality in life expectancy vs. health spending per capita in Libya was 0.1684 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 Libya?
- The highest recorded value was 0.1684 in 2023.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Libya?
- The lowest recorded value was 0.0741 in 2022.
- How does Libya rank for inequality in life expectancy vs. health spending per capita?
- Libya ranks 60th out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Libya?
- Over the last ten years it is up 72.3%. The long-run trend across the full record is falling.
- Where does this Libya 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.