Montenegro vs Rwanda: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Montenegro
- Rwanda
How they compare
Rwanda currently reports 1.01 GPI against 1.01 GPI in Montenegro, a difference of 0 GPI.
The two have swapped places 3 times across 15 shared years of data; in 2003 it was Montenegro ahead.
Montenegro ranks 51st and Rwanda ranks 49th of 188 countries.
Across the 2 decades both report, Montenegro averaged higher in 1 and Rwanda in 1.
Head to head by decade
| Decade | Montenegro | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.03 GPI | 1.01 GPI | 0.015 GPI | Montenegro |
| 2010s | 1 GPI | 1.02 GPI | 0.0164 GPI | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary and lower secondary, gender parity, Montenegro or Rwanda?
- Rwanda, at 1.01 GPI against 1.01 GPI in Montenegro as of 2019.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Montenegro and Rwanda?
- 0 GPI, with Rwanda ahead.
- How many years of comparable data are there for Montenegro and Rwanda?
- 15 years are reported by both, from 2003 to 2019.
- How do Montenegro and Rwanda rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Montenegro ranks 51st and Rwanda ranks 49th 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.