Bolivia vs Guyana: School life expectancy, primary and lower secondary, gender parity ind
School life expectancy, primary and lower secondary, gender parity ind over time
- Bolivia
- Guyana
How they compare
Bolivia currently reports 0.979 GPI against 0.9782 GPI in Guyana, a difference of 0.0008 GPI.
The two have swapped places 1 time across 9 shared years of data; in 1999 it was Guyana ahead.
Bolivia ranks 134th and Guyana ranks 137th of 188 countries.
Across the 3 decades both report, Bolivia averaged higher in 2 and Guyana in 1.
Head to head by decade
| Decade | Bolivia | Guyana | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9843 GPI | 1.01 GPI | 0.0229 GPI | Guyana |
| 2000s | 0.9862 GPI | 0.9794 GPI | 0.0067 GPI | Bolivia |
| 2010s | 0.9884 GPI | 0.9826 GPI | 0.0059 GPI | Bolivia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity ind, Bolivia or Guyana?
- Bolivia, at 0.979 GPI against 0.9782 GPI in Guyana as of 2018.
- What is the difference in school life expectancy, primary and lower secondary, gender parity ind between Bolivia and Guyana?
- 0.0008 GPI, with Bolivia ahead.
- How many years of comparable data are there for Bolivia and Guyana?
- 9 years are reported by both, from 1999 to 2012.
- How do Bolivia and Guyana rank globally for school life expectancy, primary and lower secondary, gender parity ind?
- Bolivia ranks 134th and Guyana ranks 137th 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.