Italy vs Namibia: School life expectancy, post-secondary non-tertiary, gender parity ind
Italy
0.6987 GPI
in 2016
Namibia
0.7115 GPI
in 2018
Italy rank
72nd
Namibia rank
71st
School life expectancy, post-secondary non-tertiary, gender parity ind over time
- Italy
- Namibia
How they compare
Namibia currently reports 0.7115 GPI against 0.6987 GPI in Italy, a difference of 0.0128 GPI.
Across all 8 years both countries report, Italy has been ahead every year.
Italy ranks 72nd and Namibia ranks 71st of 106 countries.
Italy has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Italy | Namibia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.99 GPI | 0.2321 GPI | 1.76 GPI | Italy |
| 2000s | 1.33 GPI | 0.4348 GPI | 0.8986 GPI | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, post-secondary non-tertiary, gender parity ind, Italy or Namibia?
- Namibia, at 0.7115 GPI against 0.6987 GPI in Italy as of 2018.
- What is the difference in school life expectancy, post-secondary non-tertiary, gender parity ind between Italy and Namibia?
- 0.0128 GPI, with Namibia ahead.
- How many years of comparable data are there for Italy and Namibia?
- 8 years are reported by both, from 1998 to 2006.
- How do Italy and Namibia rank globally for school life expectancy, post-secondary non-tertiary, gender parity ind?
- Italy ranks 72nd and Namibia ranks 71st of 106 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, post-secondary non-tertiary, 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.