Inequality in life expectancy vs. health spending per capita in India
India: Inequality in life expectancy vs. health spending per capita was 0.1547 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in India, 2010–2023
Source: UNDP, Human Development Report (2025) – with minor processing by Our World in Data.
Analysis
India recorded 0.1547 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 3.3% on the previous year and down 32.6% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in India peaked at 0.2566 in 2010 and was at its lowest, 0.1547, in 2023.
India ranks 65th 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 India, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2566 | — |
| 2011 | 0.2481 | -3.3% |
| 2012 | 0.2377 | -4.2% |
| 2013 | 0.2296 | -3.4% |
| 2014 | 0.2211 | -3.7% |
| 2015 | 0.2112 | -4.5% |
| 2016 | 0.2035 | -3.7% |
| 2017 | 0.1962 | -3.6% |
| 2018 | 0.1874 | -4.5% |
| 2019 | 0.1809 | -3.4% |
| 2020 | 0.1718 | -5.0% |
| 2021 | 0.1658 | -3.5% |
| 2022 | 0.1599 | -3.6% |
| 2023 | 0.1547 | -3.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2172 | 0.1809 | 0.2566 | 10 |
| 2020s | 0.1631 | 0.1547 | 0.1718 | 4 |
Countries ranked near India
- 62 Marshall Islands 0.1643 compare
- 63 Bangladesh 0.1575 compare
- 64 Tajikistan 0.1575 compare
- 66 Fiji 0.1545 compare
- 67 Nepal 0.1497 compare
- 68 Philippines 0.1497 compare
More health data for India
- Un projection of annual infant deaths, annual growth rate -2.12 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.4372 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,332 deaths per 1,000 people (2090)
- Number of infants who die before age 1 44,822 deaths (2100)
- Population ages 50-54, male, annual growth rate 2.53 % change on previous year (2025)
- Population ages 50-54, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 50-54, male, per capita 0.0268 units per person (2025)
- Population ages 55-59, female, annual growth rate 2.34 % change on previous year (2025)
- Population ages 55-59, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 55-59, female, per capita 0.022 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in India?
- Inequality in life expectancy vs. health spending per capita in India was 0.1547 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 India?
- The highest recorded value was 0.2566 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in India?
- The lowest recorded value was 0.1547 in 2023.
- How does India rank for inequality in life expectancy vs. health spending per capita?
- India ranks 65th out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in India?
- Over the last ten years it is down 32.6%. The long-run trend across the full record is falling.
- Where does this India 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.