Austria vs Peru: UIS: Percentage of population age 25+ with at least completed
UIS: Percentage of population age 25+ with at least completed over time
- Austria
- Peru
How they compare
Peru currently reports 0.9% against 0.9% in Austria, a difference of 0.0%.
Across all 11 years both countries report, Peru has been ahead every year.
Austria ranks 65th and Peru ranks 62nd of 87 countries.
Peru has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Austria | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 0.3% | 0.6% | 0.3% | Peru |
| 2000s | 0.8% | 0.9% | 0.1% | Peru |
| 2010s | 0.8% | 0.9% | 0.1% | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher uis: percentage of population age 25+ with at least completed, Austria or Peru?
- Peru, at 0.9% against 0.9% in Austria as of 2018.
- What is the difference in uis: percentage of population age 25+ with at least completed between Austria and Peru?
- 0.0%, with Peru ahead.
- How many years of comparable data are there for Austria and Peru?
- 11 years are reported by both, from 1981 to 2015.
- How do Austria and Peru rank globally for uis: percentage of population age 25+ with at least completed?
- Austria ranks 65th and Peru ranks 62nd of 87 countries.
- Where does this data come from?
- UNESCO Institute for Statistics, published as UIS: Percentage of population age 25+ with at least completed post-secondary education (ISCED 4 or higher). 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/