Palau vs South Asia: Gross enrolment ratio, upper secondary, gender parity index
Gross enrolment ratio, upper secondary, gender parity index over time
- Palau
- South Asia
How they compare
Palau currently reports 1.15 GPI against 0.9828 GPI in South Asia, a difference of 0.1672 GPI.
That makes Palau's figure about 1.2 times South Asia's.
Across all 9 years both countries report, Palau has been ahead every year.
Palau ranks 32nd and South Asia ranks 31st of 182 countries.
Palau has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Palau | South Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.14 GPI | 0.6692 GPI | 0.4721 GPI | Palau |
| 2000s | 1.07 GPI | 0.776 GPI | 0.2912 GPI | Palau |
| 2010s | 1.14 GPI | 0.9422 GPI | 0.2015 GPI | Palau |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, upper secondary, gender parity index, Palau or South Asia?
- Palau, at 1.15 GPI against 0.9828 GPI in South Asia as of 2014.
- What is the difference in gross enrolment ratio, upper secondary, gender parity index between Palau and South Asia?
- 0.1672 GPI, with Palau ahead.
- How many years of comparable data are there for Palau and South Asia?
- 9 years are reported by both, from 1999 to 2014.
- How do Palau and South Asia rank globally for gross enrolment ratio, upper secondary, gender parity index?
- Palau ranks 32nd and South Asia ranks 31st 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.