Cuba vs Peru: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Cuba
- Peru
How they compare
Cuba currently reports 0.9541 GPI against 0.9526 GPI in Peru, a difference of 0.0015 GPI.
The two have swapped places 3 times across 21 shared years of data; in 1999 it was Peru ahead.
Cuba ranks 161st and Peru ranks 162nd of 188 countries.
Peru has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Cuba | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9688 GPI | 0.9835 GPI | 0.0146 GPI | Peru |
| 2000s | 0.9722 GPI | 0.9956 GPI | 0.0234 GPI | Peru |
| 2010s | 0.9614 GPI | 0.981 GPI | 0.0196 GPI | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary and lower secondary, gender parity, Cuba or Peru?
- Cuba, at 0.9541 GPI against 0.9526 GPI in Peru as of 2019.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Cuba and Peru?
- 0.0015 GPI, with Cuba ahead.
- How many years of comparable data are there for Cuba and Peru?
- 21 years are reported by both, from 1999 to 2019.
- How do Cuba and Peru rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Cuba ranks 161st and Peru ranks 162nd of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 gross enrolment ratio for primary and lower secondary to male gross enrolment ratio for primary and 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.