Bolivia vs Seychelles: School life expectancy, pre-primary, gender parity index
School life expectancy, pre-primary, gender parity index over time
- Bolivia
- Seychelles
How they compare
Bolivia currently reports 1.02 GPI against 1.02 GPI in Seychelles, a difference of 0 GPI.
The two have swapped places 8 times across 30 shared years of data; in 1986 it was Seychelles ahead.
Bolivia ranks 78th and Seychelles ranks 79th of 189 countries.
Across the 4 decades both report, Bolivia averaged higher in 1 and Seychelles in 3.
Head to head by decade
| Decade | Bolivia | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 1 GPI | 1.03 GPI | 0.0227 GPI | Seychelles |
| 1990s | 1.01 GPI | 1.01 GPI | 0.0012 GPI | Seychelles |
| 2000s | 1.01 GPI | 0.9817 GPI | 0.0281 GPI | Bolivia |
| 2010s | 0.9973 GPI | 1.03 GPI | 0.0358 GPI | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, pre-primary, gender parity index, Bolivia or Seychelles?
- Bolivia, at 1.02 GPI against 1.02 GPI in Seychelles as of 2018.
- What is the difference in school life expectancy, pre-primary, gender parity index between Bolivia and Seychelles?
- 0 GPI, with Bolivia ahead.
- How many years of comparable data are there for Bolivia and Seychelles?
- 30 years are reported by both, from 1986 to 2018.
- How do Bolivia and Seychelles rank globally for school life expectancy, pre-primary, gender parity index?
- Bolivia ranks 78th and Seychelles ranks 79th of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, pre-primary, 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.