Bangladesh vs Thailand: Gross enrolment ratio, primary to tertiary, gender parity index
Gross enrolment ratio, primary to tertiary, gender parity index over time
- Bangladesh
- Thailand
How they compare
Bangladesh currently reports 1.06 GPI against 1.06 GPI in Thailand, a difference of 0 GPI.
The two have swapped places 2 times across 7 shared years of data; in 1976 it was Thailand ahead.
Bangladesh ranks 62nd and Thailand ranks 65th of 173 countries.
Thailand has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bangladesh | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.504 GPI | 0.8943 GPI | 0.3903 GPI | Thailand |
| 2000s | 1.03 GPI | 1.04 GPI | 0.0135 GPI | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary to tertiary, gender parity index, Bangladesh or Thailand?
- Bangladesh, at 1.06 GPI against 1.06 GPI in Thailand as of 2018.
- What is the difference in gross enrolment ratio, primary to tertiary, gender parity index between Bangladesh and Thailand?
- 0 GPI, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Thailand?
- 7 years are reported by both, from 1976 to 2009.
- How do Bangladesh and Thailand rank globally for gross enrolment ratio, primary to tertiary, gender parity index?
- Bangladesh ranks 62nd and Thailand ranks 65th 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.