Cameroon vs South Africa: School life expectancy, post-secondary non-tertiary, gender parity
School life expectancy, post-secondary non-tertiary, gender parity over time
- Cameroon
- South Africa
How they compare
South Africa currently reports 1.71 GPI against 1.63 GPI in Cameroon, a difference of 0.08 GPI.
The two have swapped places 2 times across 6 shared years of data; in 2005 it was South Africa ahead.
Cameroon ranks 19th and South Africa ranks 18th of 106 countries.
Across the 2 decades both report, Cameroon averaged higher in 1 and South Africa in 1.
Head to head by decade
| Decade | Cameroon | South Africa | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.8909 GPI | 1.24 GPI | 0.3478 GPI | South Africa |
| 2010s | 1.56 GPI | 1.5 GPI | 0.0543 GPI | Cameroon |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, post-secondary non-tertiary, gender parity, Cameroon or South Africa?
- South Africa, at 1.71 GPI against 1.63 GPI in Cameroon as of 2018.
- What is the difference in school life expectancy, post-secondary non-tertiary, gender parity between Cameroon and South Africa?
- 0.08 GPI, with South Africa ahead.
- How many years of comparable data are there for Cameroon and South Africa?
- 6 years are reported by both, from 2005 to 2016.
- How do Cameroon and South Africa rank globally for school life expectancy, post-secondary non-tertiary, gender parity?
- Cameroon ranks 19th and South Africa ranks 18th of 106 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, post-secondary non-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.