South Korea vs Zimbabwe: School life expectancy, tertiary, gender parity index (GPI)
School life expectancy, tertiary, gender parity index (GPI) over time
- South Korea
- Zimbabwe
How they compare
Zimbabwe currently reports 0.84 GPI against 0.8186 GPI in South Korea, a difference of 0.0214 GPI.
The two have swapped places 4 times across 9 shared years of data; in 1983 it was Zimbabwe ahead.
South Korea ranks 136th and Zimbabwe ranks 135th of 177 countries.
Across the 3 decades both report, South Korea averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | South Korea | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.4082 GPI | 0.5137 GPI | 0.1055 GPI | Zimbabwe |
| 1990s | 0.5164 GPI | 0.4794 GPI | 0.037 GPI | South Korea |
| 2010s | 0.7395 GPI | 0.7499 GPI | 0.0104 GPI | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, tertiary, gender parity index, South Korea or Zimbabwe?
- Zimbabwe, at 0.84 GPI against 0.8186 GPI in South Korea as of 2015.
- What is the difference in school life expectancy, tertiary, gender parity index between South Korea and Zimbabwe?
- 0.0214 GPI, with Zimbabwe ahead.
- How many years of comparable data are there for South Korea and Zimbabwe?
- 9 years are reported by both, from 1983 to 2015.
- How do South Korea and Zimbabwe rank globally for school life expectancy, tertiary, gender parity index?
- South Korea ranks 136th and Zimbabwe ranks 135th 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.