Inequality in life expectancy vs. health spending per capita in Botswana
Botswana: Inequality in life expectancy vs. health spending per capita was 0.1922 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Botswana, 2010–2023
Source: UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
Analysis
Botswana recorded 0.1922 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 1.6% on the previous year and down 21.9% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Botswana peaked at 0.2641 in 2010 and was at its lowest, 0.1922, in 2023.
Botswana ranks 53rd 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 Botswana, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2641 | — |
| 2011 | 0.2577 | -2.4% |
| 2012 | 0.2522 | -2.1% |
| 2013 | 0.246 | -2.5% |
| 2014 | 0.2405 | -2.2% |
| 2015 | 0.2332 | -3.0% |
| 2016 | 0.2259 | -3.1% |
| 2017 | 0.2208 | -2.3% |
| 2018 | 0.2149 | -2.7% |
| 2019 | 0.2107 | -1.9% |
| 2020 | 0.2031 | -3.6% |
| 2021 | 0.1979 | -2.6% |
| 2022 | 0.1952 | -1.3% |
| 2023 | 0.1922 | -1.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2366 | 0.2107 | 0.2641 | 10 |
| 2020s | 0.1971 | 0.1922 | 0.2031 | 4 |
Countries ranked near Botswana
- 50 Mauritania 0.1935 compare
- 51 Turkmenistan 0.1931 compare
- 52 Namibia 0.1925 compare
- 54 Gabon 0.1905 compare
- 55 Rwanda 0.1889 compare
- 56 Palestine, State of 0.1818 compare
More health data for Botswana
- Un projection of annual infant deaths, annual growth rate -1.75 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.2265 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,150 deaths per 1,000 people (2090)
- Number of infants who die before age 1 281 deaths (2100)
- Population ages 65-69, male, annual growth rate 1.63 % change on previous year (2025)
- Population ages 65-69, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 65-69, male, per capita 0.0076 units per person (2025)
- Population ages 70-74, female, annual growth rate -0.7287 % change on previous year (2025)
- Population ages 70-74, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 70-74, female, per capita 0.0062 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Botswana?
- Inequality in life expectancy vs. health spending per capita in Botswana was 0.1922 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 Botswana?
- The highest recorded value was 0.2641 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Botswana?
- The lowest recorded value was 0.1922 in 2023.
- How does Botswana rank for inequality in life expectancy vs. health spending per capita?
- Botswana ranks 53rd out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Botswana?
- Over the last ten years it is down 21.9%. The long-run trend across the full record is falling.
- Where does this Botswana 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.