Viet Nam vs Zimbabwe: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Viet Nam
- Zimbabwe
How they compare
Zimbabwe currently reports 1.03 GPI against 1.03 GPI in Viet Nam, a difference of 0 GPI.
The two have swapped places 2 times across 7 shared years of data; in 1999 it was Zimbabwe ahead.
Viet Nam ranks 45th and Zimbabwe ranks 43rd of 188 countries.
Across the 3 decades both report, Viet Nam averaged higher in 1 and Zimbabwe in 2.
Head to head by decade
| Decade | Viet Nam | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9183 GPI | 0.9226 GPI | 0.0043 GPI | Zimbabwe |
| 2000s | 0.9388 GPI | 0.9202 GPI | 0.0186 GPI | Viet Nam |
| 2010s | 1 GPI | 1.03 GPI | 0.0268 GPI | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Viet Nam or Zimbabwe?
- Zimbabwe, at 1.03 GPI against 1.03 GPI in Viet Nam as of 2013.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Viet Nam and Zimbabwe?
- 0 GPI, with Zimbabwe ahead.
- How many years of comparable data are there for Viet Nam and Zimbabwe?
- 7 years are reported by both, from 1999 to 2013.
- How do Viet Nam and Zimbabwe rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Viet Nam ranks 45th and Zimbabwe ranks 43rd of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 lower secondary to the male gross enrolment ratio for 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.