Inequality in life expectancy vs. health spending per capita in Chile
Chile: Inequality in life expectancy vs. health spending per capita was 0.046 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Chile, 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 Chile stood at 0.046. That is the lowest value across all 14 years on record.
The figure is down 5.3% on the previous year and down 27.5% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Chile peaked at 0.0672 in 2010 and was at its lowest, 0.046, in 2023.
That places Chile 151st out of 195 countries with data for 2023, putting it in the bottom quarter.
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 Chile, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.0672 | — |
| 2011 | 0.0655 | -2.5% |
| 2012 | 0.0642 | -2.0% |
| 2013 | 0.0634 | -1.3% |
| 2014 | 0.0625 | -1.4% |
| 2015 | 0.0611 | -2.2% |
| 2016 | 0.0605 | -1.1% |
| 2017 | 0.0588 | -2.7% |
| 2018 | 0.0563 | -4.2% |
| 2019 | 0.0538 | -4.6% |
| 2020 | 0.049 | -8.9% |
| 2021 | 0.0492 | +0.4% |
| 2022 | 0.0485 | -1.2% |
| 2023 | 0.046 | -5.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0613 | 0.0538 | 0.0672 | 10 |
| 2020s | 0.0482 | 0.046 | 0.0492 | 4 |
Countries ranked near Chile
- 148 Bahrain 0.0474 compare
- 149 Bosnia and Herzegovina 0.0468 compare
- 150 Andorra 0.0467 compare
- 152 Slovakia 0.0457 compare
- 153 New Zealand 0.0439 compare
- 154 North Macedonia 0.043 compare
More health data for Chile
- Un projection of annual infant deaths, annual growth rate -1.71 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate 0.4062 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,755 deaths per 1,000 people (2090)
- Number of infants who die before age 1 115 deaths (2100)
- Population ages 60-64, female, annual growth rate 1.84 % change on previous year (2025)
- Population ages 60-64, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 60-64, female, per capita 0.0284 units per person (2025)
- Population ages 60-64, male, annual growth rate 2.06 % change on previous year (2025)
- Population ages 60-64, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 60-64, male, per capita 0.0269 units per person (2025)
Frequently asked questions
- What is inequality in life expectancy vs. health spending per capita in Chile?
- Inequality in life expectancy vs. health spending per capita in Chile was 0.046 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 Chile?
- The highest recorded value was 0.0672 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Chile?
- The lowest recorded value was 0.046 in 2023.
- How does Chile rank for inequality in life expectancy vs. health spending per capita?
- Chile ranks 151st out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Chile?
- Over the last ten years it is down 27.5%. The long-run trend across the full record is falling.
- Where does this Chile 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.