Euro area vs Nepal: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- Euro area
- Nepal
How they compare
Nepal currently reports 1.02 GPI against 0.9895 GPI in Euro area, a difference of 0.0305 GPI.
The two have swapped places 1 time across 24 shared years of data; in 1993 it was Euro area ahead.
Euro area ranks 27th and Nepal ranks 24th of 43 regions.
Across the 3 decades both report, Euro area averaged higher in 2 and Nepal in 1.
Head to head by decade
| Decade | Euro area | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9927 GPI | 0.6811 GPI | 0.3116 GPI | Euro area |
| 2000s | 0.9899 GPI | 0.891 GPI | 0.0988 GPI | Euro area |
| 2010s | 0.9898 GPI | 1.05 GPI | 0.0643 GPI | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, Euro area or Nepal?
- Nepal, at 1.02 GPI against 0.9895 GPI in Euro area as of 2019.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Euro area and Nepal?
- 0.0305 GPI, with Nepal ahead.
- How many years of comparable data are there for Euro area and Nepal?
- 24 years are reported by both, from 1993 to 2019.
- How do Euro area and Nepal rank globally for school life expectancy, primary and lower secondary, gender parity?
- Euro area ranks 27th and Nepal ranks 24th of 43 regions.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and lower secondary, gender parity index (GPI). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Ratio of female school life expectancy to the male school life expectancy. It is calculated by dividing the female value for the indicator by the male value for the indicator. A GPI equal to 1 indicates parity between females and males. In general, a value less than 1 indicates disparity in favor of males and a value greater than 1 indicates disparity in favor of females.