Italy vs Thailand: Gross enrolment ratio, primary and lower secondary, gender parity
Gross enrolment ratio, primary and lower secondary, gender parity over time
- Italy
- Thailand
How they compare
Thailand currently reports 0.9686 GPI against 0.967 GPI in Italy, a difference of 0.0016 GPI.
The two have swapped places 2 times across 17 shared years of data; in 2001 it was Italy ahead.
Italy ranks 153rd and Thailand ranks 152nd of 188 countries.
Across the 2 decades both report, Italy averaged higher in 1 and Thailand in 1.
Head to head by decade
| Decade | Italy | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.9764 GPI | 0.9878 GPI | 0.0114 GPI | Thailand |
| 2010s | 0.9838 GPI | 0.9802 GPI | 0.0037 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, Italy or Thailand?
- Thailand, at 0.9686 GPI against 0.967 GPI in Italy as of 2019.
- What is the difference in gross enrolment ratio, primary and lower secondary, gender parity between Italy and Thailand?
- 0.0016 GPI, with Thailand ahead.
- How many years of comparable data are there for Italy and Thailand?
- 17 years are reported by both, from 2001 to 2018.
- How do Italy and Thailand rank globally for gross enrolment ratio, primary and lower secondary, gender parity?
- Italy ranks 153rd and Thailand ranks 152nd 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.