New Zealand vs Thailand: School life expectancy, tertiary, gender parity index
School life expectancy, tertiary, gender parity index over time
- New Zealand
- Thailand
How they compare
New Zealand currently reports 1.42 GPI against 1.41 GPI in Thailand, a difference of 0.01 GPI.
The two have swapped places 2 times across 5 shared years of data; in 1976 it was Thailand ahead.
New Zealand ranks 46th and Thailand ranks 48th of 177 countries.
Across the 3 decades both report, New Zealand averaged higher in 2 and Thailand in 1.
Head to head by decade
| Decade | New Zealand | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.608 GPI | 0.6606 GPI | 0.0526 GPI | Thailand |
| 1990s | 1.19 GPI | 1.14 GPI | 0.0473 GPI | New Zealand |
| 2010s | 1.38 GPI | 1.37 GPI | 0.0171 GPI | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, tertiary, gender parity index, New Zealand or Thailand?
- New Zealand, at 1.42 GPI against 1.41 GPI in Thailand as of 2018.
- What is the difference in school life expectancy, tertiary, gender parity index between New Zealand and Thailand?
- 0.01 GPI, with New Zealand ahead.
- How many years of comparable data are there for New Zealand and Thailand?
- 5 years are reported by both, from 1976 to 2016.
- How do New Zealand and Thailand rank globally for school life expectancy, tertiary, gender parity index?
- New Zealand ranks 46th 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.