Latvia vs Macau, China: Gross enrolment ratio, primary to tertiary, gender parity index
Gross enrolment ratio, primary to tertiary, gender parity index over time
- Latvia
- Macau, China
How they compare
Macau, China currently reports 1.11 GPI against 1.11 GPI in Latvia, a difference of 0 GPI.
The two have swapped places 1 time across 21 shared years of data; in 1992 it was Latvia ahead.
Latvia ranks 28th and Macau, China ranks 27th of 173 countries.
Latvia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Latvia | Macau, China | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1.08 GPI | 0.9046 GPI | 0.1714 GPI | Latvia |
| 2000s | 1.16 GPI | 0.8879 GPI | 0.2682 GPI | Latvia |
| 2010s | 1.12 GPI | 1.05 GPI | 0.0694 GPI | Latvia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher gross enrolment ratio, primary to tertiary, gender parity index, Latvia or Macau, China?
- Macau, China, at 1.11 GPI against 1.11 GPI in Latvia as of 2019.
- What is the difference in gross enrolment ratio, primary to tertiary, gender parity index between Latvia and Macau, China?
- 0 GPI, with Macau, China ahead.
- How many years of comparable data are there for Latvia and Macau, China?
- 21 years are reported by both, from 1992 to 2018.
- How do Latvia and Macau, China rank globally for gross enrolment ratio, primary to tertiary, gender parity index?
- Latvia ranks 28th and Macau, China ranks 27th of 173 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Gross enrolment ratio, primary to tertiary, 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 to tertiary to the male value for the same indicator. 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.