New Zealand vs Russian Federation: Adjusted net enrolment rate, one year before the official primary
Adjusted net enrolment rate, one year before the official primary over time
- New Zealand
- Russian Federation
How they compare
Russian Federation currently reports 0.9866 GPIA against 0.9854 GPIA in New Zealand, a difference of 0.0012 GPIA.
The two have swapped places 1 time across 5 shared years of data; in 2014 it was New Zealand ahead.
New Zealand ranks 102nd and Russian Federation ranks 99th of 133 countries.
New Zealand 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, New Zealand or Russian Federation?
- Russian Federation, at 0.9866 GPIA against 0.9854 GPIA in New Zealand as of 2018.
- What is the difference in adjusted net enrolment rate, one year before the official primary between New Zealand and Russian Federation?
- 0.0012 GPIA, with Russian Federation ahead.
- How many years of comparable data are there for New Zealand and Russian Federation?
- 5 years are reported by both, from 2014 to 2018.
- How do New Zealand and Russian Federation rank globally for adjusted net enrolment rate, one year before the official primary?
- New Zealand ranks 102nd and Russian Federation ranks 99th of 133 countries.
- 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.
Individual pages
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/