Brunei vs Kenya: School life expectancy, primary and lower … lower GPI gender parity
Brunei
1 GPI
in 2019
Kenya
1.01 GPI
in 2016
Brunei rank
57th
Kenya rank
55th
School life expectancy, primary and lower … lower GPI gender parity over time
- Brunei
- Kenya
How they compare
Kenya currently reports 1.01 GPI against 1 GPI in Brunei, a difference of 0.01 GPI.
The two have swapped places 4 times across 16 shared years of data; in 1998 it was Kenya ahead.
Brunei ranks 57th and Kenya ranks 55th of 188 countries.
Kenya has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Brunei | Kenya | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9558 GPI | 0.976 GPI | 0.0202 GPI | Kenya |
| 2000s | 0.9504 GPI | 0.9579 GPI | 0.0075 GPI | Kenya |
| 2010s | 0.9946 GPI | 1 GPI | 0.008 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, Brunei or Kenya?
- Kenya, at 1.01 GPI against 1 GPI in Brunei as of 2016.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Brunei and Kenya?
- 0.01 GPI, with Kenya ahead.
- How many years of comparable data are there for Brunei and Kenya?
- 16 years are reported by both, from 1998 to 2016.
- How do Brunei and Kenya rank globally for school life expectancy, primary and lower secondary, gender parity?
- Brunei ranks 57th and Kenya ranks 55th 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.