Bangladesh vs Congo: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Bangladesh
- Congo
How they compare
Bangladesh currently reports 1.11 GPI against 1.09 GPI in Congo, a difference of 0.02 GPI.
The two have swapped places 1 time across 8 shared years of data; in 1976 it was Congo ahead.
Bangladesh ranks 4th and Congo ranks 6th of 189 countries.
Across the 4 decades both report, Bangladesh averaged higher in 2 and Congo in 2.
Head to head by decade
| Decade | Bangladesh | Congo | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.5618 GPI | 0.9233 GPI | 0.3614 GPI | Congo |
| 1980s | 0.6627 GPI | 0.9811 GPI | 0.3184 GPI | Congo |
| 2000s | 1.06 GPI | 1.05 GPI | 0.014 GPI | Bangladesh |
| 2010s | 1.11 GPI | 0.9632 GPI | 0.1458 GPI | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Bangladesh or Congo?
- Bangladesh, at 1.11 GPI against 1.09 GPI in Congo as of 2010.
- What is the difference in total net enrolment rate, primary, gender parity index between Bangladesh and Congo?
- 0.02 GPI, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Congo?
- 8 years are reported by both, from 1976 to 2010.
- How do Bangladesh and Congo rank globally for total net enrolment rate, primary, gender parity index?
- Bangladesh ranks 4th and Congo ranks 6th of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, 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 total net enrolment rate for primary to the male total net enrolment rate for primary. 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.