Lithuania vs Thailand: School life expectancy, primary and secondary, gender parity index
School life expectancy, primary and secondary, gender parity index over time
- Lithuania
- Thailand
How they compare
Thailand currently reports 0.9835 GPI against 0.9816 GPI in Lithuania, a difference of 0.0019 GPI.
The two have swapped places 6 times across 18 shared years of data; in 1993 it was Thailand ahead.
Lithuania ranks 134th and Thailand ranks 131st of 193 countries.
Thailand has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Lithuania | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9645 GPI | 0.9767 GPI | 0.0122 GPI | Thailand |
| 2000s | 0.9938 GPI | 1.01 GPI | 0.0147 GPI | Thailand |
| 2010s | 0.9794 GPI | 1 GPI | 0.0246 GPI | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and secondary, gender parity index, Lithuania or Thailand?
- Thailand, at 0.9835 GPI against 0.9816 GPI in Lithuania as of 2019.
- What is the difference in school life expectancy, primary and secondary, gender parity index between Lithuania and Thailand?
- 0.0019 GPI, with Thailand ahead.
- How many years of comparable data are there for Lithuania and Thailand?
- 18 years are reported by both, from 1993 to 2018.
- How do Lithuania and Thailand rank globally for school life expectancy, primary and secondary, gender parity index?
- Lithuania ranks 134th and Thailand ranks 131st of 193 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and 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 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.