Argentina vs Norway: School life expectancy, primary and lower secondary, gender parity
School life expectancy, primary and lower secondary, gender parity over time
- Argentina
- Norway
How they compare
Argentina currently reports 0.9952 GPI against 0.9943 GPI in Norway, a difference of 0.0009 GPI.
The two have swapped places 7 times across 20 shared years of data; in 1998 it was Norway ahead.
Argentina ranks 89th and Norway ranks 90th of 188 countries.
Across the 3 decades both report, Argentina averaged higher in 1 and Norway in 2.
Head to head by decade
| Decade | Argentina | Norway | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 0.9984 GPI | 1 GPI | 0.0016 GPI | Norway |
| 2000s | 1.01 GPI | 1 GPI | 0.0036 GPI | Argentina |
| 2010s | 1 GPI | 1 GPI | 0.0011 GPI | Norway |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher school life expectancy, primary and lower secondary, gender parity, Argentina or Norway?
- Argentina, at 0.9952 GPI against 0.9943 GPI in Norway as of 2017.
- What is the difference in school life expectancy, primary and lower secondary, gender parity between Argentina and Norway?
- 0.0009 GPI, with Argentina ahead.
- How many years of comparable data are there for Argentina and Norway?
- 20 years are reported by both, from 1998 to 2017.
- How do Argentina and Norway rank globally for school life expectancy, primary and lower secondary, gender parity?
- Argentina ranks 89th and Norway ranks 90th of 188 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as School life expectancy, primary and lower secondary, 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 school life expectancy to the male school life expectancy. 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.