Aruba vs Viet Nam: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Aruba
- Viet Nam
How they compare
Viet Nam currently reports 1.02 GPI against 1.02 GPI in Aruba, a difference of 0 GPI.
The two have swapped places 2 times across 13 shared years of data; in 1999 it was Aruba ahead.
Aruba ranks 20th and Viet Nam ranks 19th of 188 countries.
Across the 3 decades both report, Aruba averaged higher in 1 and Viet Nam in 2.
Head to head by decade
| Decade | Aruba | Viet Nam | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9956 GPI | 0.9331 GPI | 0.0626 GPI | Aruba |
| 2000s | 0.9519 GPI | 0.9587 GPI | 0.0069 GPI | Viet Nam |
| 2010s | 0.9884 GPI | 0.9904 GPI | 0.002 GPI | Viet Nam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary and lower secondary, gender parity, Aruba or Viet Nam?
- Viet Nam, at 1.02 GPI against 1.02 GPI in Aruba as of 2019.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Aruba and Viet Nam?
- 0 GPI, with Viet Nam ahead.
- How many years of comparable data are there for Aruba and Viet Nam?
- 13 years are reported by both, from 1999 to 2012.
- How do Aruba and Viet Nam rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Aruba ranks 20th and Viet Nam ranks 19th 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.