Italy vs Mauritius: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Italy
- Mauritius
How they compare
Italy currently reports 0.9664 GPI against 0.9661 GPI in Mauritius, a difference of 0.0003 GPI.
The two have swapped places 4 times across 21 shared years of data; in 1998 it was Mauritius ahead.
Italy ranks 141st and Mauritius ranks 142nd of 188 countries.
Mauritius has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Italy | Mauritius | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9484 GPI | 0.9979 GPI | 0.0494 GPI | Mauritius |
| 2000s | 0.9613 GPI | 1.01 GPI | 0.0522 GPI | Mauritius |
| 2010s | 0.977 GPI | 0.9932 GPI | 0.0163 GPI | Mauritius |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Italy or Mauritius?
- Italy, at 0.9664 GPI against 0.9661 GPI in Mauritius as of 2018.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Italy and Mauritius?
- 0.0003 GPI, with Italy ahead.
- How many years of comparable data are there for Italy and Mauritius?
- 21 years are reported by both, from 1998 to 2018.
- How do Italy and Mauritius rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Italy ranks 141st and Mauritius ranks 142nd of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 gross enrolment ratio for lower secondary to the male gross enrolment ratio for lower secondary. 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.