Italy vs Lithuania: Gross enrolment ratio, lower secondary, gender parity index
Gross enrolment ratio, lower secondary, gender parity index over time
- Italy
- Lithuania
How they compare
Lithuania currently reports 0.9709 GPI against 0.9664 GPI in Italy, a difference of 0.0045 GPI.
The two have swapped places 4 times across 23 shared years of data; in 1996 it was Lithuania ahead.
Italy ranks 141st and Lithuania ranks 139th of 188 countries.
Across the 3 decades both report, Italy averaged higher in 1 and Lithuania in 2.
Head to head by decade
| Decade | Italy | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9496 GPI | 0.9739 GPI | 0.0243 GPI | Lithuania |
| 2000s | 0.9613 GPI | 0.9723 GPI | 0.0111 GPI | Lithuania |
| 2010s | 0.977 GPI | 0.9643 GPI | 0.0127 GPI | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, lower secondary, gender parity index, Italy or Lithuania?
- Lithuania, at 0.9709 GPI against 0.9664 GPI in Italy as of 2018.
- What is the difference in gross enrolment ratio, lower secondary, gender parity index between Italy and Lithuania?
- 0.0045 GPI, with Lithuania ahead.
- How many years of comparable data are there for Italy and Lithuania?
- 23 years are reported by both, from 1996 to 2018.
- How do Italy and Lithuania rank globally for gross enrolment ratio, lower secondary, gender parity index?
- Italy ranks 141st and Lithuania ranks 139th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 gross enrolment ratio for lower secondary to the male gross enrolment ratio for lower secondary. 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.