Botswana vs Viet Nam: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Botswana
- Viet Nam
How they compare
Viet Nam currently reports 1.03 GPI against 1.03 GPI in Botswana, a difference of 0 GPI.
The two have swapped places 2 times across 16 shared years of data; in 1998 it was Botswana ahead.
Botswana ranks 47th and Viet Nam ranks 45th of 188 countries.
Botswana has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Botswana | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.11 GPI | 0.925 GPI | 0.1823 GPI | Botswana |
| 2000s | 1.07 GPI | 0.9629 GPI | 0.1028 GPI | Botswana |
| 2010s | 1.01 GPI | 1.01 GPI | 0.0043 GPI | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Botswana or Viet Nam?
- Viet Nam, at 1.03 GPI against 1.03 GPI in Botswana as of 2019.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Botswana and Viet Nam?
- 0 GPI, with Viet Nam ahead.
- How many years of comparable data are there for Botswana and Viet Nam?
- 16 years are reported by both, from 1998 to 2015.
- How do Botswana and Viet Nam rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Botswana ranks 47th and Viet Nam ranks 45th 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.