Cape Verde vs Hungary: Gross enrolment ratio, primary to tertiary, gender parity index
Gross enrolment ratio, primary to tertiary, gender parity index over time
- Cape Verde
- Hungary
How they compare
Cape Verde currently reports 1.05 GPI against 1.05 GPI in Hungary, a difference of 0 GPI.
The two have swapped places 5 times across 18 shared years of data; in 2001 it was Hungary ahead.
Cape Verde ranks 73rd and Hungary ranks 76th of 173 countries.
Across the 2 decades both report, Cape Verde averaged higher in 1 and Hungary in 1.
Head to head by decade
| Decade | Cape Verde | Hungary | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.03 GPI | 1.07 GPI | 0.0339 GPI | Hungary |
| 2010s | 1.06 GPI | 1.06 GPI | 0.0023 GPI | Cape Verde |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary to tertiary, gender parity index, Cape Verde or Hungary?
- Cape Verde, at 1.05 GPI against 1.05 GPI in Hungary as of 2018.
- What is the difference in gross enrolment ratio, primary to tertiary, gender parity index between Cape Verde and Hungary?
- 0 GPI, with Cape Verde ahead.
- How many years of comparable data are there for Cape Verde and Hungary?
- 18 years are reported by both, from 2001 to 2018.
- How do Cape Verde and Hungary rank globally for gross enrolment ratio, primary to tertiary, gender parity index?
- Cape Verde ranks 73rd and Hungary ranks 76th 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.