Russian Federation vs Slovenia: Adjusted net enrolment rate, one year before the official primary
Adjusted net enrolment rate, one year before the official primary over time
- Russian Federation
- Slovenia
How they compare
Slovenia currently reports 0.9868 GPIA against 0.9866 GPIA in Russian Federation, a difference of 0.0002 GPIA.
The two have swapped places 3 times across 6 shared years of data; in 2013 it was Russian Federation ahead.
Russian Federation ranks 99th and Slovenia ranks 98th of 133 countries.
Russian Federation 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, Russian Federation or Slovenia?
- Slovenia, at 0.9868 GPIA against 0.9866 GPIA in Russian Federation as of 2018.
- What is the difference in adjusted net enrolment rate, one year before the official primary between Russian Federation and Slovenia?
- 0.0002 GPIA, with Slovenia ahead.
- How many years of comparable data are there for Russian Federation and Slovenia?
- 6 years are reported by both, from 2013 to 2018.
- How do Russian Federation and Slovenia rank globally for adjusted net enrolment rate, one year before the official primary?
- Russian Federation ranks 99th and Slovenia ranks 98th 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.
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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/