Lithuania vs Peru: Gross enrolment ratio, upper secondary, gender parity index
Gross enrolment ratio, upper secondary, gender parity index over time
- Lithuania
- Peru
How they compare
Peru currently reports 0.9538 GPI against 0.9475 GPI in Lithuania, a difference of 0.0063 GPI.
The two have swapped places 1 time across 21 shared years of data; in 1998 it was Lithuania ahead.
Lithuania ranks 135th and Peru ranks 134th of 182 countries.
Across the 3 decades both report, Lithuania averaged higher in 2 and Peru in 1.
Head to head by decade
| Decade | Lithuania | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.08 GPI | 0.995 GPI | 0.0852 GPI | Lithuania |
| 2000s | 1.05 GPI | 1 GPI | 0.052 GPI | Lithuania |
| 2010s | 0.9618 GPI | 1.01 GPI | 0.0515 GPI | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, upper secondary, gender parity index, Lithuania or Peru?
- Peru, at 0.9538 GPI against 0.9475 GPI in Lithuania as of 2019.
- What is the difference in gross enrolment ratio, upper secondary, gender parity index between Lithuania and Peru?
- 0.0063 GPI, with Peru ahead.
- How many years of comparable data are there for Lithuania and Peru?
- 21 years are reported by both, from 1998 to 2018.
- How do Lithuania and Peru rank globally for gross enrolment ratio, upper secondary, gender parity index?
- Lithuania ranks 135th and Peru ranks 134th of 182 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, upper 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 upper secondary to the male gross enrolment ratio for upper 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.