Brazil vs Italy: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Brazil
- Italy
How they compare
Italy currently reports 0.967 GPI against 0.9659 GPI in Brazil, a difference of 0.0011 GPI.
The two have swapped places 3 times across 10 shared years of data; in 1999 it was Brazil ahead.
Brazil ranks 154th and Italy ranks 153rd of 188 countries.
Across the 3 decades both report, Brazil averaged higher in 2 and Italy in 1.
Head to head by decade
| Decade | Brazil | Italy | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9857 GPI | 0.9747 GPI | 0.011 GPI | Brazil |
| 2000s | 0.9875 GPI | 0.9747 GPI | 0.0128 GPI | Brazil |
| 2010s | 0.9659 GPI | 0.9823 GPI | 0.0164 GPI | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary and lower secondary, gender parity, Brazil or Italy?
- Italy, at 0.967 GPI against 0.9659 GPI in Brazil as of 2018.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Brazil and Italy?
- 0.0011 GPI, with Italy ahead.
- How many years of comparable data are there for Brazil and Italy?
- 10 years are reported by both, from 1999 to 2011.
- How do Brazil and Italy rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Brazil ranks 154th and Italy ranks 153rd of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, primary and 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 primary and lower secondary to male gross enrolment ratio for primary and 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.