Mauritius vs Thailand: School life expectancy, tertiary, gender parity index
School life expectancy, tertiary, gender parity index over time
- Mauritius
- Thailand
How they compare
Thailand currently reports 1.41 GPI against 1.4 GPI in Mauritius, a difference of 0.01 GPI.
The two have swapped places 6 times across 20 shared years of data; in 1976 it was Thailand ahead.
Mauritius ranks 49th and Thailand ranks 48th of 177 countries.
Thailand has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Mauritius | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.2988 GPI | 0.7339 GPI | 0.4351 GPI | Thailand |
| 1990s | 0.7999 GPI | 1.17 GPI | 0.3744 GPI | Thailand |
| 2000s | 1.06 GPI | 1.16 GPI | 0.0977 GPI | Thailand |
| 2010s | 1.26 GPI | 1.33 GPI | 0.0633 GPI | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, tertiary, gender parity index, Mauritius or Thailand?
- Thailand, at 1.41 GPI against 1.4 GPI in Mauritius as of 2016.
- What is the difference in school life expectancy, tertiary, gender parity index between Mauritius and Thailand?
- 0.01 GPI, with Thailand ahead.
- How many years of comparable data are there for Mauritius and Thailand?
- 20 years are reported by both, from 1976 to 2016.
- How do Mauritius and Thailand rank globally for school life expectancy, tertiary, gender parity index?
- Mauritius ranks 49th and Thailand ranks 48th of 177 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, 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 school life expectancy to the male school life expectancy. 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.