Georgia vs Kenya: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Georgia
- Kenya
How they compare
Georgia currently reports 1.01 GPI against 1 GPI in Kenya, a difference of 0.01 GPI.
The two have swapped places 3 times across 15 shared years of data; in 1999 it was Georgia ahead.
Georgia ranks 53rd and Kenya ranks 56th of 188 countries.
Across the 3 decades both report, Georgia averaged higher in 2 and Kenya in 1.
Head to head by decade
| Decade | Georgia | Kenya | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.02 GPI | 0.9721 GPI | 0.052 GPI | Georgia |
| 2000s | 1.04 GPI | 0.9639 GPI | 0.0744 GPI | Georgia |
| 2010s | 0.9981 GPI | 1 GPI | 0.0057 GPI | Kenya |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary and lower secondary, gender parity, Georgia or Kenya?
- Georgia, at 1.01 GPI against 1 GPI in Kenya as of 2019.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Georgia and Kenya?
- 0.01 GPI, with Georgia ahead.
- How many years of comparable data are there for Georgia and Kenya?
- 15 years are reported by both, from 1999 to 2016.
- How do Georgia and Kenya rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Georgia ranks 53rd and Kenya ranks 56th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 gross enrolment ratio for primary and lower secondary to male gross enrolment ratio for primary and lower secondary. 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.