China vs Colombia: School life expectancy, pre-primary, gender parity index
China
1 GPI
in 2019
Colombia
1 GPI
in 2018
China rank
104th
Colombia rank
103rd
School life expectancy, pre-primary, gender parity index over time
- China
- Colombia
How they compare
Colombia currently reports 1 GPI against 1 GPI in China, a difference of 0 GPI.
The two have swapped places 1 time across 21 shared years of data; in 1984 it was Colombia ahead.
China ranks 104th and Colombia ranks 103rd of 189 countries.
Colombia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | China | Colombia | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.9433 GPI | 1.04 GPI | 0.0925 GPI | Colombia |
| 1990s | 0.9588 GPI | 1.03 GPI | 0.0732 GPI | Colombia |
| 2000s | 0.9487 GPI | 1 GPI | 0.0554 GPI | Colombia |
| 2010s | 0.976 GPI | 1 GPI | 0.0249 GPI | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, pre-primary, gender parity index, China or Colombia?
- Colombia, at 1 GPI against 1 GPI in China as of 2018.
- What is the difference in school life expectancy, pre-primary, gender parity index between China and Colombia?
- 0 GPI, with Colombia ahead.
- How many years of comparable data are there for China and Colombia?
- 21 years are reported by both, from 1984 to 2018.
- How do China and Colombia rank globally for school life expectancy, pre-primary, gender parity index?
- China ranks 104th and Colombia ranks 103rd 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.