Bhutan vs Suriname: School life expectancy, primary and lower secondary, gender parity
Bhutan
1.06 GPI
in 2020
Suriname
1.05 GPI
in 2019
Bhutan rank
8th
Suriname rank
10th
School life expectancy, primary and lower secondary, gender parity over time
- Bhutan
- Suriname
How they compare
Bhutan currently reports 1.06 GPI against 1.05 GPI in Suriname, a difference of 0.01 GPI.
The two have swapped places 3 times across 16 shared years of data; in 2001 it was Suriname ahead.
Bhutan ranks 8th and Suriname ranks 10th of 188 countries.
Suriname has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Bhutan | Suriname | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.9739 GPI | 1.04 GPI | 0.0664 GPI | Suriname |
| 2010s | 1.05 GPI | 1.06 GPI | 0.013 GPI | Suriname |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, Bhutan or Suriname?
- Bhutan, at 1.06 GPI against 1.05 GPI in Suriname as of 2020.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Bhutan and Suriname?
- 0.01 GPI, with Bhutan ahead.
- How many years of comparable data are there for Bhutan and Suriname?
- 16 years are reported by both, from 2001 to 2018.
- How do Bhutan and Suriname rank globally for school life expectancy, primary and lower secondary, gender parity?
- Bhutan ranks 8th and Suriname ranks 10th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, 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 school life expectancy to the male school life expectancy. 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.