Bahrain vs Macau, China: Total net enrolment rate, primary, gender parity index
Total net enrolment rate, primary, gender parity index over time
- Bahrain
- Macau, China
How they compare
Macau, China currently reports 0.9919 GPI against 0.9901 GPI in Bahrain, a difference of 0.0018 GPI.
The two have swapped places 3 times across 18 shared years of data; in 1992 it was Bahrain ahead.
Bahrain ranks 135th and Macau, China ranks 132nd of 189 countries.
Across the 3 decades both report, Bahrain averaged higher in 2 and Macau, China in 1.
Head to head by decade
| Decade | Bahrain | Macau, China | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.01 GPI | 0.9991 GPI | 0.013 GPI | Bahrain |
| 2000s | 1.05 GPI | 0.9917 GPI | 0.0571 GPI | Bahrain |
| 2010s | 1 GPI | 1.01 GPI | 0.005 GPI | Macau, China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total net enrolment rate, primary, gender parity index, Bahrain or Macau, China?
- Macau, China, at 0.9919 GPI against 0.9901 GPI in Bahrain as of 2019.
- What is the difference in total net enrolment rate, primary, gender parity index between Bahrain and Macau, China?
- 0.0018 GPI, with Macau, China ahead.
- How many years of comparable data are there for Bahrain and Macau, China?
- 18 years are reported by both, from 1992 to 2019.
- How do Bahrain and Macau, China rank globally for total net enrolment rate, primary, gender parity index?
- Bahrain ranks 135th and Macau, China ranks 132nd 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.