Australia vs Lithuania: School life expectancy, primary, gender parity index
School life expectancy, primary, gender parity index over time
- Australia
- Lithuania
How they compare
Lithuania currently reports 0.9993 GPI against 0.9985 GPI in Australia, a difference of 0.0008 GPI.
The two have swapped places 4 times across 30 shared years of data; in 1981 it was Lithuania ahead.
Australia ranks 73rd and Lithuania ranks 70th of 197 countries.
Across the 4 decades both report, Australia averaged higher in 3 and Lithuania in 1.
Head to head by decade
| Decade | Australia | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.9914 GPI | 0.9984 GPI | 0.007 GPI | Lithuania |
| 1990s | 1 GPI | 0.9574 GPI | 0.0432 GPI | Australia |
| 2000s | 1.02 GPI | 0.993 GPI | 0.0237 GPI | Australia |
| 2010s | 0.9982 GPI | 0.9961 GPI | 0.0021 GPI | Australia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary, gender parity index, Australia or Lithuania?
- Lithuania, at 0.9993 GPI against 0.9985 GPI in Australia as of 2018.
- What is the difference in school life expectancy, primary, gender parity index between Australia and Lithuania?
- 0.0008 GPI, with Lithuania ahead.
- How many years of comparable data are there for Australia and Lithuania?
- 30 years are reported by both, from 1981 to 2018.
- How do Australia and Lithuania rank globally for school life expectancy, primary, gender parity index?
- Australia ranks 73rd and Lithuania ranks 70th of 197 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, 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.