Kenya vs Libya: School life expectancy, pre-primary, gender parity index
Kenya
0.9736 GPI
in 2016
Libya
0.9749 GPI
in 2006
Kenya rank
158th
Libya rank
155th
School life expectancy, pre-primary, gender parity index over time
- Kenya
- Libya
How they compare
Libya currently reports 0.9749 GPI against 0.9736 GPI in Kenya, a difference of 0.0013 GPI.
The two have swapped places 3 times across 7 shared years of data; in 1983 it was Kenya ahead.
Kenya ranks 158th and Libya ranks 155th of 189 countries.
Across the 3 decades both report, Kenya averaged higher in 2 and Libya in 1.
Head to head by decade
| Decade | Kenya | Libya | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.9843 GPI | 0.959 GPI | 0.0253 GPI | Kenya |
| 1990s | 0.9956 GPI | 0.9788 GPI | 0.0167 GPI | Kenya |
| 2000s | 0.9064 GPI | 0.9851 GPI | 0.0787 GPI | Libya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, pre-primary, gender parity index, Kenya or Libya?
- Libya, at 0.9749 GPI against 0.9736 GPI in Kenya as of 2006.
- What is the difference in school life expectancy, pre-primary, gender parity index between Kenya and Libya?
- 0.0013 GPI, with Libya ahead.
- How many years of comparable data are there for Kenya and Libya?
- 7 years are reported by both, from 1983 to 2006.
- How do Kenya and Libya rank globally for school life expectancy, pre-primary, gender parity index?
- Kenya ranks 158th and Libya ranks 155th 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.