Peru vs Serbia: UIS: Percentage of population age 25+ with at least completed
UIS: Percentage of population age 25+ with at least completed over time
- Peru
- Serbia
How they compare
Serbia currently reports 0.9% against 0.9% in Peru, a difference of 0.0%.
The two have swapped places 4 times across 7 shared years of data; in 2008 it was Peru ahead.
Peru ranks 62nd and Serbia ranks 60th of 87 countries.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Peru | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.9% | 0.9% | 0.0% | Peru |
| 2010s | 0.9% | 0.9% | 0.0% | 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, Peru or Serbia?
- Serbia, at 0.9% against 0.9% in Peru as of 2017.
- What is the difference in uis: percentage of population age 25+ with at least completed between Peru and Serbia?
- 0.0%, with Serbia ahead.
- How many years of comparable data are there for Peru and Serbia?
- 7 years are reported by both, from 2008 to 2015.
- How do Peru and Serbia rank globally for uis: percentage of population age 25+ with at least completed?
- Peru ranks 62nd and Serbia ranks 60th 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/