Inequality in life expectancy vs. health spending per capita in Bangladesh
Bangladesh: Inequality in life expectancy vs. health spending per capita was 0.1575 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Bangladesh, 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 Bangladesh stood at 0.1575. That is the lowest value across all 14 years on record.
That represents a change of down 1.8% on the previous year and down 25.7% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Bangladesh peaked at 0.2326 in 2010 and was at its lowest, 0.1575, in 2023.
Bangladesh ranks 63rd 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 Bangladesh, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2326 | — |
| 2011 | 0.2241 | -3.7% |
| 2012 | 0.218 | -2.7% |
| 2013 | 0.2121 | -2.7% |
| 2014 | 0.2044 | -3.6% |
| 2015 | 0.199 | -2.7% |
| 2016 | 0.1918 | -3.6% |
| 2017 | 0.1869 | -2.6% |
| 2018 | 0.1804 | -3.5% |
| 2019 | 0.1744 | -3.3% |
| 2020 | 0.1662 | -4.7% |
| 2021 | 0.1644 | -1.1% |
| 2022 | 0.1604 | -2.4% |
| 2023 | 0.1575 | -1.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2024 | 0.1744 | 0.2326 | 10 |
| 2020s | 0.1621 | 0.1575 | 0.1662 | 4 |
Countries ranked near Bangladesh
More health data for Bangladesh
- Un projection of annual infant deaths, annual growth rate -2.36 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 1.15 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,153 deaths per 1,000 people (2090)
- Number of infants who die before age 1 4,062 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 35 (2025)
- Population ages 00-04, female, annual growth rate 0.8772 % change on previous year (2025)
- Population ages 00-04, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 00-04, female, per capita 0.0468 units per person (2025)
- Population ages 00-04, male, annual growth rate 0.7714 % change on previous year (2025)
- Population ages 00-04, male, per unit of GDP 0 units per US$ of GDP (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Bangladesh?
- Inequality in life expectancy vs. health spending per capita in Bangladesh was 0.1575 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 Bangladesh?
- The highest recorded value was 0.2326 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Bangladesh?
- The lowest recorded value was 0.1575 in 2023.
- How does Bangladesh rank for inequality in life expectancy vs. health spending per capita?
- Bangladesh ranks 63rd out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Bangladesh?
- Over the last ten years it is down 25.7%. The long-run trend across the full record is falling.
- Where does this Bangladesh 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.