Dominica vs Zimbabwe: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Dominica
- Zimbabwe
How they compare
Zimbabwe currently reports 1.01 GPI against 1.01 GPI in Dominica, a difference of 0 GPI.
The two have swapped places 1 time across 8 shared years of data; in 1982 it was Dominica ahead.
Dominica ranks 60th and Zimbabwe ranks 58th of 189 countries.
Dominica has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Dominica | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1.01 GPI | 0.9524 GPI | 0.06 GPI | Dominica |
| 1990s | 1.07 GPI | 1.02 GPI | 0.0521 GPI | Dominica |
| 2000s | 1.04 GPI | 1.01 GPI | 0.0274 GPI | Dominica |
| 2010s | 1.01 GPI | 1.01 GPI | 0.0016 GPI | Dominica |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Dominica or Zimbabwe?
- Zimbabwe, at 1.01 GPI against 1.01 GPI in Dominica as of 2013.
- What is the difference in total net enrolment rate, primary, gender parity index between Dominica and Zimbabwe?
- 0 GPI, with Zimbabwe ahead.
- How many years of comparable data are there for Dominica and Zimbabwe?
- 8 years are reported by both, from 1982 to 2013.
- How do Dominica and Zimbabwe rank globally for total net enrolment rate, primary, gender parity index?
- Dominica ranks 60th and Zimbabwe ranks 58th 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.