Cuba vs Italy: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Cuba
- Italy
How they compare
Cuba currently reports 0.9971 GPI against 0.9966 GPI in Italy, a difference of 0.0005 GPI.
The two have swapped places 10 times across 25 shared years of data; in 1973 it was Italy ahead.
Cuba ranks 117th and Italy ranks 120th of 189 countries.
Across the 5 decades both report, Cuba averaged higher in 2 and Italy in 3.
Head to head by decade
| Decade | Cuba | Italy | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.979 GPI | 1.01 GPI | 0.0264 GPI | Italy |
| 1980s | 1 GPI | 1 GPI | 0.0036 GPI | Italy |
| 1990s | 0.9936 GPI | 0.9964 GPI | 0.0028 GPI | Italy |
| 2000s | 0.9946 GPI | 0.9912 GPI | 0.0034 GPI | Cuba |
| 2010s | 0.9973 GPI | 0.9957 GPI | 0.0015 GPI | Cuba |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Cuba or Italy?
- Cuba, at 0.9971 GPI against 0.9966 GPI in Italy as of 2019.
- What is the difference in total net enrolment rate, primary, gender parity index between Cuba and Italy?
- 0.0005 GPI, with Cuba ahead.
- How many years of comparable data are there for Cuba and Italy?
- 25 years are reported by both, from 1973 to 2018.
- How do Cuba and Italy rank globally for total net enrolment rate, primary, gender parity index?
- Cuba ranks 117th and Italy ranks 120th of 189 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, 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 total net enrolment rate for primary to the male total net enrolment rate for primary. 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.