Peru vs Switzerland: Gross enrolment ratio, primary to tertiary, gender parity index
Gross enrolment ratio, primary to tertiary, gender parity index over time
- Peru
- Switzerland
How they compare
Switzerland currently reports 0.9861 GPI against 0.9843 GPI in Peru, a difference of 0.0018 GPI.
The two have swapped places 1 time across 9 shared years of data; in 1980 it was Peru ahead.
Peru ranks 132nd and Switzerland ranks 130th of 173 countries.
Peru has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Peru | Switzerland | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.8922 GPI | 0.8827 GPI | 0.0096 GPI | Peru |
| 2000s | 1 GPI | 0.9587 GPI | 0.0429 GPI | Peru |
| 2010s | 0.9925 GPI | 0.9878 GPI | 0.0047 GPI | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary to tertiary, gender parity index, Peru or Switzerland?
- Switzerland, at 0.9861 GPI against 0.9843 GPI in Peru as of 2018.
- What is the difference in gross enrolment ratio, primary to tertiary, gender parity index between Peru and Switzerland?
- 0.0018 GPI, with Switzerland ahead.
- How many years of comparable data are there for Peru and Switzerland?
- 9 years are reported by both, from 1980 to 2017.
- How do Peru and Switzerland rank globally for gross enrolment ratio, primary to tertiary, gender parity index?
- Peru ranks 132nd and Switzerland ranks 130th of 173 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, primary to 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 gross enrolment ratio for primary to tertiary to the male value for the same indicator. 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.