Bhutan vs San Marino: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Bhutan
- San Marino
How they compare
San Marino currently reports 1.07 GPI against 1.05 GPI in Bhutan, a difference of 0.02 GPI.
The two have swapped places 4 times across 7 shared years of data; in 2000 it was San Marino ahead.
Bhutan ranks 8th and San Marino ranks 5th of 188 countries.
Across the 2 decades both report, Bhutan averaged higher in 1 and San Marino in 1.
Head to head by decade
| Decade | Bhutan | San Marino | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.9687 GPI | 1 GPI | 0.0348 GPI | San Marino |
| 2010s | 1.05 GPI | 1.03 GPI | 0.0168 GPI | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary and lower secondary, gender parity, Bhutan or San Marino?
- San Marino, at 1.07 GPI against 1.05 GPI in Bhutan as of 2019.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Bhutan and San Marino?
- 0.02 GPI, with San Marino ahead.
- How many years of comparable data are there for Bhutan and San Marino?
- 7 years are reported by both, from 2000 to 2018.
- How do Bhutan and San Marino rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Bhutan ranks 8th and San Marino ranks 5th 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.