Euro area vs Hong Kong, China: Adjusted net enrolment rate, one year before the official primary
Adjusted net enrolment rate, one year before the official primary over time
- Euro area
- Hong Kong, China
How they compare
Hong Kong, China currently reports 1.05 GPIA against 1 GPIA in Euro area, a difference of 0.05 GPIA.
Across all 6 years both countries report, Hong Kong, China has been ahead every year.
Euro area ranks 18th and Hong Kong, China ranks 16th of 39 groups.
Hong Kong, China has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher adjusted net enrolment rate, one year before the official primary, Euro area or Hong Kong, China?
- Hong Kong, China, at 1.05 GPIA against 1 GPIA in Euro area as of 2019.
- What is the difference in adjusted net enrolment rate, one year before the official primary between Euro area and Hong Kong, China?
- 0.05 GPIA, with Hong Kong, China ahead.
- How many years of comparable data are there for Euro area and Hong Kong, China?
- 6 years are reported by both, from 2012 to 2019.
- How do Euro area and Hong Kong, China rank globally for adjusted net enrolment rate, one year before the official primary?
- Euro area ranks 18th and Hong Kong, China ranks 16th of 39 groups.
- Where does this data come from?
- UNESCO Institute for Statistics, published as Adjusted net enrolment rate, one year before the official primary entry age, adjusted gender parity index (GPIA). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
The Adjusted Gender Parity Index (GPIA) is calculated by dividing the female value for the indicator by the male value for the indicator. If the resulting value exceeds 1, the ratio is inverted and subtracted from 2. The adjusted gender parity index is symmetrical around 1 and lies in the range 0-2. An adjusted 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. For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/