Spain vs Thailand: School life expectancy, pre-primary, gender parity index
Spain
0.999 GPI
in 2018
Thailand
1 GPI
in 2019
Spain rank
110th
Thailand rank
107th
School life expectancy, pre-primary, gender parity index over time
- Spain
- Thailand
How they compare
Thailand currently reports 1 GPI against 0.999 GPI in Spain, a difference of 0.001 GPI.
The two have swapped places 5 times across 16 shared years of data; in 1971 it was Spain ahead.
Spain ranks 110th and Thailand ranks 107th of 189 countries.
Spain has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Spain | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 1.1 GPI | 0.9595 GPI | 0.141 GPI | Spain |
| 1980s | 1.07 GPI | 0.9843 GPI | 0.0838 GPI | Spain |
| 1990s | 1.02 GPI | 1.01 GPI | 0.0077 GPI | Spain |
| 2010s | 1 GPI | 0.9754 GPI | 0.0277 GPI | Spain |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, pre-primary, gender parity index, Spain or Thailand?
- Thailand, at 1 GPI against 0.999 GPI in Spain as of 2019.
- What is the difference in school life expectancy, pre-primary, gender parity index between Spain and Thailand?
- 0.001 GPI, with Thailand ahead.
- How many years of comparable data are there for Spain and Thailand?
- 16 years are reported by both, from 1971 to 2018.
- How do Spain and Thailand rank globally for school life expectancy, pre-primary, gender parity index?
- Spain ranks 110th and Thailand ranks 107th of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, pre-primary, 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.