Lithuania vs Mauritius: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Lithuania
- Mauritius
How they compare
Lithuania currently reports 0.9709 GPI against 0.9661 GPI in Mauritius, a difference of 0.0048 GPI.
Across all 21 years both countries report, Mauritius has been ahead every year.
Lithuania ranks 139th 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 | Lithuania | Mauritius | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9775 GPI | 0.9979 GPI | 0.0204 GPI | Mauritius |
| 2000s | 0.9723 GPI | 1.01 GPI | 0.0412 GPI | Mauritius |
| 2010s | 0.9643 GPI | 0.9932 GPI | 0.029 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, Lithuania or Mauritius?
- Lithuania, at 0.9709 GPI against 0.9661 GPI in Mauritius as of 2018.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Lithuania and Mauritius?
- 0.0048 GPI, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Mauritius?
- 21 years are reported by both, from 1998 to 2018.
- How do Lithuania and Mauritius rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Lithuania ranks 139th 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.