South Africa vs Thailand: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- South Africa
- Thailand
How they compare
South Africa currently reports 0.9712 GPI against 0.9702 GPI in Thailand, a difference of 0.001 GPI.
The two have swapped places 4 times across 15 shared years of data; in 2001 it was South Africa ahead.
South Africa ranks 145th and Thailand ranks 147th of 188 countries.
Thailand has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | South Africa | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.982 GPI | 0.9871 GPI | 0.0051 GPI | Thailand |
| 2010s | 0.9696 GPI | 0.9732 GPI | 0.0036 GPI | Thailand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, South Africa or Thailand?
- South Africa, at 0.9712 GPI against 0.9702 GPI in Thailand as of 2018.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between South Africa and Thailand?
- 0.001 GPI, with South Africa ahead.
- How many years of comparable data are there for South Africa and Thailand?
- 15 years are reported by both, from 2001 to 2018.
- How do South Africa and Thailand rank globally for school life expectancy, primary and lower secondary, gender parity?
- South Africa ranks 145th and Thailand ranks 147th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and lower 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.