Hong Kong vs Peru: Total net enrolment rate, lower secondary, gender parity index
Total net enrolment rate, lower secondary, gender parity index over time
- Hong Kong
- Peru
How they compare
Hong Kong currently reports 1 GPI against 1 GPI in Peru, a difference of 0 GPI.
The two have swapped places 3 times across 10 shared years of data; in 1981 it was Hong Kong ahead.
Hong Kong ranks 60th and Peru ranks 62nd of 135 countries.
Hong Kong has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Hong Kong | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1.04 GPI | 0.9244 GPI | 0.1174 GPI | Hong Kong |
| 2000s | 1 GPI | 0.9939 GPI | 0.0072 GPI | Hong Kong |
| 2010s | 1 GPI | 0.9986 GPI | 0.0027 GPI | Hong Kong |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, lower secondary, gender parity index, Hong Kong or Peru?
- Hong Kong, at 1 GPI against 1 GPI in Peru as of 2014.
- What is the difference in total net enrolment rate, lower secondary, gender parity index between Hong Kong and Peru?
- 0 GPI, with Hong Kong ahead.
- How many years of comparable data are there for Hong Kong and Peru?
- 10 years are reported by both, from 1981 to 2014.
- How do Hong Kong and Peru rank globally for total net enrolment rate, lower secondary, gender parity index?
- Hong Kong ranks 60th and Peru ranks 62nd of 135 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, 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 total net enrolment rate for lower secondary to the male total net enrolment rate 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.