Kenya vs Saint Lucia: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- Kenya
- Saint Lucia
How they compare
Saint Lucia currently reports 1.01 GPI against 1.01 GPI in Kenya, a difference of 0 GPI.
The two have swapped places 3 times across 11 shared years of data; in 1999 it was Saint Lucia ahead.
Kenya ranks 55th and Saint Lucia ranks 52nd of 188 countries.
Across the 3 decades both report, Kenya averaged higher in 1 and Saint Lucia in 2.
Head to head by decade
| Decade | Kenya | Saint Lucia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.969 GPI | 1.02 GPI | 0.0472 GPI | Saint Lucia |
| 2000s | 0.957 GPI | 0.9953 GPI | 0.0384 GPI | Saint Lucia |
| 2010s | 1 GPI | 0.9751 GPI | 0.0279 GPI | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, Kenya or Saint Lucia?
- Saint Lucia, at 1.01 GPI against 1.01 GPI in Kenya as of 2019.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Kenya and Saint Lucia?
- 0 GPI, with Saint Lucia ahead.
- How many years of comparable data are there for Kenya and Saint Lucia?
- 11 years are reported by both, from 1999 to 2016.
- How do Kenya and Saint Lucia rank globally for school life expectancy, primary and lower secondary, gender parity?
- Kenya ranks 55th and Saint Lucia ranks 52nd 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.