Inequality in life expectancy vs. health spending per capita in Russian Federation
Russian Federation: Inequality in life expectancy vs. health spending per capita was 0.0568 in 2023. ▼ Falling
Inequality in life expectancy vs. health spending per capita in Russian Federation, 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 Russian Federation stood at 0.0568.
Compared with earlier readings it is up 1.7% on the previous year and down 31.2% over ten years.
Over the whole period, inequality in life expectancy vs. health spending per capita in Russian Federation peaked at 0.0911 in 2010 and was at its lowest, 0.0558, in 2022.
That places Russian Federation 137th out of 195 countries with data for 2023, putting it 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 Russian Federation, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.0911 | — |
| 2011 | 0.0818 | -10.2% |
| 2012 | 0.0867 | +5.9% |
| 2013 | 0.0825 | -4.8% |
| 2014 | 0.079 | -4.2% |
| 2015 | 0.0723 | -8.5% |
| 2016 | 0.0678 | -6.1% |
| 2017 | 0.0632 | -6.8% |
| 2018 | 0.0609 | -3.7% |
| 2019 | 0.0595 | -2.2% |
| 2020 | 0.0581 | -2.4% |
| 2021 | 0.0568 | -2.2% |
| 2022 | 0.0558 | -1.7% |
| 2023 | 0.0568 | +1.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0745 | 0.0595 | 0.0911 | 10 |
| 2020s | 0.0569 | 0.0558 | 0.0581 | 4 |
Countries ranked near Russian Federation
More health data for Russian Federation
- Un projection of annual infant deaths, annual growth rate -0.7261 % change on previous year (2100)
- Heat deaths vs projected death rates, annual growth rate -0.5159 % change on previous year (2090)
- Estimated changes in temperature-related death rates compared to projected death rates 1,176 deaths per 1,000 people (2090)
- Number of infants who die before age 1 957 deaths (2100)
- Neonatal tetanus - number of reported cases, gaps filled 0 (2025)
- Population ages 00-04, female, annual growth rate -3.34 % 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 0.0224 units per person (2025)
- Population ages 00-04, male, annual growth rate -3.3 % 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 Russian Federation?
- Inequality in life expectancy vs. health spending per capita in Russian Federation was 0.0568 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 Russian Federation?
- The highest recorded value was 0.0911 in 2010.
- What is the lowest inequality in life expectancy vs. health spending per capita recorded in Russian Federation?
- The lowest recorded value was 0.0558 in 2022.
- How does Russian Federation rank for inequality in life expectancy vs. health spending per capita?
- Russian Federation ranks 137th out of 195 countries with data for 2023.
- Is inequality in life expectancy vs. health spending per capita rising or falling in Russian Federation?
- Over the last ten years it is down 31.2%. The long-run trend across the full record is falling.
- Where does this Russian Federation 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.