Czechia vs Thailand: School life expectancy, tertiary, gender parity index
School life expectancy, tertiary, gender parity index over time
- Czechia
- Thailand
How they compare
Thailand currently reports 1.41 GPI against 1.4 GPI in Czechia, a difference of 0.01 GPI.
The two have swapped places 1 time across 21 shared years of data; in 1976 it was Thailand ahead.
Czechia ranks 50th and Thailand ranks 48th of 177 countries.
Across the 4 decades both report, Czechia averaged higher in 2 and Thailand in 2.
Head to head by decade
| Decade | Czechia | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.6701 GPI | 0.7339 GPI | 0.0637 GPI | Thailand |
| 1990s | 0.9305 GPI | 1.16 GPI | 0.2259 GPI | Thailand |
| 2000s | 1.18 GPI | 1.16 GPI | 0.0212 GPI | Czechia |
| 2010s | 1.42 GPI | 1.33 GPI | 0.0911 GPI | Czechia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, tertiary, gender parity index, Czechia or Thailand?
- Thailand, at 1.41 GPI against 1.4 GPI in Czechia as of 2016.
- What is the difference in school life expectancy, tertiary, gender parity index between Czechia and Thailand?
- 0.01 GPI, with Thailand ahead.
- How many years of comparable data are there for Czechia and Thailand?
- 21 years are reported by both, from 1976 to 2016.
- How do Czechia and Thailand rank globally for school life expectancy, tertiary, gender parity index?
- Czechia ranks 50th 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.