Argentina vs Cuba: Total net enrolment rate, lower secondary, gender parity index
Total net enrolment rate, lower secondary, gender parity index over time
- Argentina
- Cuba
How they compare
Argentina currently reports 1 GPI against 1 GPI in Cuba, a difference of 0 GPI.
The two have swapped places 1 time across 7 shared years of data; in 1974 it was Argentina ahead.
Argentina ranks 68th and Cuba ranks 70th of 135 countries.
Across the 4 decades both report, Argentina averaged higher in 3 and Cuba in 1.
Head to head by decade
| Decade | Argentina | Cuba | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 1.03 GPI | 0.9417 GPI | 0.0881 GPI | Argentina |
| 1990s | 1.03 GPI | 1 GPI | 0.0261 GPI | Argentina |
| 2000s | 1.03 GPI | 0.9976 GPI | 0.0288 GPI | Argentina |
| 2010s | 1 GPI | 1.01 GPI | 0.0117 GPI | Cuba |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, lower secondary, gender parity index, Argentina or Cuba?
- Argentina, at 1 GPI against 1 GPI in Cuba as of 2016.
- What is the difference in total net enrolment rate, lower secondary, gender parity index between Argentina and Cuba?
- 0 GPI, with Argentina ahead.
- How many years of comparable data are there for Argentina and Cuba?
- 7 years are reported by both, from 1974 to 2016.
- How do Argentina and Cuba rank globally for total net enrolment rate, lower secondary, gender parity index?
- Argentina ranks 68th and Cuba ranks 70th of 135 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Total net enrolment rate, 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 total net enrolment rate for lower secondary to the male total net enrolment rate 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.