Lithuania vs Malaysia: School life expectancy, primary to tertiary, gender parity index
School life expectancy, primary to tertiary, gender parity index over time
- Lithuania
- Malaysia
How they compare
Lithuania currently reports 1.06 GPI against 1.05 GPI in Malaysia, a difference of 0.01 GPI.
The two have swapped places 4 times across 20 shared years of data; in 1998 it was Lithuania ahead.
Lithuania ranks 64th and Malaysia ranks 67th of 175 countries.
Across the 3 decades both report, Lithuania averaged higher in 2 and Malaysia in 1.
Head to head by decade
| Decade | Lithuania | Malaysia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.07 GPI | 1.03 GPI | 0.0421 GPI | Lithuania |
| 2000s | 1.09 GPI | 1.07 GPI | 0.0206 GPI | Lithuania |
| 2010s | 1.07 GPI | 1.07 GPI | 0.0007 GPI | Malaysia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary to tertiary, gender parity index, Lithuania or Malaysia?
- Lithuania, at 1.06 GPI against 1.05 GPI in Malaysia as of 2018.
- What is the difference in school life expectancy, primary to tertiary, gender parity index between Lithuania and Malaysia?
- 0.01 GPI, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Malaysia?
- 20 years are reported by both, from 1998 to 2017.
- How do Lithuania and Malaysia rank globally for school life expectancy, primary to tertiary, gender parity index?
- Lithuania ranks 64th and Malaysia ranks 67th of 175 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary to tertiary, 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.