El Salvador vs Italy: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- El Salvador
- Italy
How they compare
Italy currently reports 0.9677 GPI against 0.9659 GPI in El Salvador, a difference of 0.0018 GPI.
The two have swapped places 3 times across 23 shared years of data; in 1995 it was El Salvador ahead.
El Salvador ranks 153rd and Italy ranks 152nd of 188 countries.
Italy has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | El Salvador | Italy | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9668 GPI | 0.9747 GPI | 0.0079 GPI | Italy |
| 2000s | 0.9574 GPI | 0.9778 GPI | 0.0204 GPI | Italy |
| 2010s | 0.9603 GPI | 0.9838 GPI | 0.0236 GPI | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, El Salvador or Italy?
- Italy, at 0.9677 GPI against 0.9659 GPI in El Salvador as of 2018.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between El Salvador and Italy?
- 0.0018 GPI, with Italy ahead.
- How many years of comparable data are there for El Salvador and Italy?
- 23 years are reported by both, from 1995 to 2018.
- How do El Salvador and Italy rank globally for school life expectancy, primary and lower secondary, gender parity?
- El Salvador ranks 153rd and Italy ranks 152nd of 188 countries.
- 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.