Burundi vs South Asia: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- Burundi
- South Asia
How they compare
Burundi currently reports 1.05 GPI against 0.9981 GPI in South Asia, a difference of 0.0519 GPI.
That makes Burundi's figure about 1.1 times South Asia's.
The two have swapped places 1 time across 16 shared years of data; in 2003 it was South Asia ahead.
Burundi ranks 9th and South Asia ranks 9th of 188 countries.
South Asia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Burundi | South Asia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.864 GPI | 0.9453 GPI | 0.0813 GPI | South Asia |
| 2010s | 1.01 GPI | 1.03 GPI | 0.0216 GPI | South Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, Burundi or South Asia?
- Burundi, at 1.05 GPI against 0.9981 GPI in South Asia as of 2019.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Burundi and South Asia?
- 0.0519 GPI, with Burundi ahead.
- How many years of comparable data are there for Burundi and South Asia?
- 16 years are reported by both, from 2003 to 2019.
- How do Burundi and South Asia rank globally for school life expectancy, primary and lower secondary, gender parity?
- Burundi ranks 9th and South Asia ranks 9th 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.