Macau, China vs Serbia: School life expectancy, secondary, gender parity index
Macau, China
1.01 GPI
in 2019
Serbia
1.01 GPI
in 2019
Macau, China rank
96th
Serbia rank
94th
School life expectancy, secondary, gender parity index over time
- Macau, China
- Serbia
How they compare
Serbia currently reports 1.01 GPI against 1.01 GPI in Macau, China, a difference of 0 GPI.
The two have swapped places 2 times across 21 shared years of data; in 1999 it was Serbia ahead.
Macau, China ranks 96th and Serbia ranks 94th of 195 countries.
Serbia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Macau, China | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.01 GPI | 1.01 GPI | 0.003 GPI | Serbia |
| 2000s | 0.9574 GPI | 1.03 GPI | 0.0707 GPI | Serbia |
| 2010s | 0.9959 GPI | 1.02 GPI | 0.0212 GPI | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, secondary, gender parity index, Macau, China or Serbia?
- Serbia, at 1.01 GPI against 1.01 GPI in Macau, China as of 2019.
- What is the difference in school life expectancy, secondary, gender parity index between Macau, China and Serbia?
- 0 GPI, with Serbia ahead.
- How many years of comparable data are there for Macau, China and Serbia?
- 21 years are reported by both, from 1999 to 2019.
- How do Macau, China and Serbia rank globally for school life expectancy, secondary, gender parity index?
- Macau, China ranks 96th and Serbia ranks 94th of 195 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, 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 school life expectancy to the male school life expectancy. 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.