Italy vs Sri Lanka: Gross enrolment ratio, primary to tertiary, gender parity index
Gross enrolment ratio, primary to tertiary, gender parity index over time
- Italy
- Sri Lanka
How they compare
Italy currently reports 1.04 GPI against 1.04 GPI in Sri Lanka, a difference of 0 GPI.
The two have swapped places 1 time across 13 shared years of data; in 1981 it was Sri Lanka ahead.
Italy ranks 78th and Sri Lanka ranks 80th of 173 countries.
Across the 3 decades both report, Italy averaged higher in 2 and Sri Lanka in 1.
Head to head by decade
| Decade | Italy | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.9664 GPI | 1.01 GPI | 0.0427 GPI | Sri Lanka |
| 1990s | 1.03 GPI | 1.02 GPI | 0.005 GPI | Italy |
| 2010s | 1.06 GPI | 1.03 GPI | 0.0257 GPI | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary to tertiary, gender parity index, Italy or Sri Lanka?
- Italy, at 1.04 GPI against 1.04 GPI in Sri Lanka as of 2018.
- What is the difference in gross enrolment ratio, primary to tertiary, gender parity index between Italy and Sri Lanka?
- 0 GPI, with Italy ahead.
- How many years of comparable data are there for Italy and Sri Lanka?
- 13 years are reported by both, from 1981 to 2018.
- How do Italy and Sri Lanka rank globally for gross enrolment ratio, primary to tertiary, gender parity index?
- Italy ranks 78th and Sri Lanka ranks 80th of 173 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, 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 gross enrolment ratio for primary to tertiary to the male value for the same indicator. 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.