Peru vs United Arab Emirates: Wittgenstein Projection: Population age 25-29 in thousands by highest

Peru
0.15
in 2100
United Arab Emirates
0.14
in 2100
Peru rank
81st
United Arab Emirates rank
83rd

Wittgenstein Projection: Population age 25-29 in thousands by highest over time

  • Peru
  • United Arab Emirates
0102030201020552100

How they compare

Peru currently reports 0.15 against 0.14 in United Arab Emirates, a difference of 0.01.

That makes Peru's figure about 1.1 times United Arab Emirates's.

The two have swapped places 2 times across 19 shared years of data; in 2010 it was Peru ahead.

Peru ranks 81st and United Arab Emirates ranks 83rd of 166 countries.

Across the 10 decades both report, Peru averaged higher in 8 and United Arab Emirates in 2.

Head to head by decade

Decade Peru United Arab Emirates Difference Ahead
2010s 24.8 8.34 16.45 Peru
2020s 11.75 2.74 9.01 Peru
2030s 4.59 1.15 3.44 Peru
2040s 1.5 0.7 0.8 Peru
2050s 0.425 0.455 0.03 United Arab Emirates
2060s 0.205 0.285 0.08 United Arab Emirates
2070s 0.195 0.18 0.015 Peru
2080s 0.175 0.16 0.015 Peru
2090s 0.165 0.145 0.02 Peru
2100s 0.15 0.14 0.01 Peru

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 25-29 in thousands by highest, Peru or United Arab Emirates?
Peru, at 0.15 against 0.14 in United Arab Emirates as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Peru and United Arab Emirates?
0.01, with Peru ahead.
How many years of comparable data are there for Peru and United Arab Emirates?
19 years are reported by both, from 2010 to 2100.
How do Peru and United Arab Emirates rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Peru ranks 81st and United Arab Emirates ranks 83rd of 166 countries.
Where does this data come from?
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. No Education. Female. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Peru vs United Arab Emirates: Wittgenstein Projection: Population age 25-29 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 01 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-13/peru/united-arab-emirates/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-13/peru/united-arab-emirates/">Peru vs United Arab Emirates: Wittgenstein Projection: Population age 25-29 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. No Education. Female
Source
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
167 places, 3,173 data points, 2010–2100
Last refreshed

Total population in thousands in the specified age group that has never attended school. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection model. The SSP2 is a middle-of-the-road scenario that combines medium fertility with medium mortality, medium migration, and the Global Education Trend (GET) education scenario. For more information and other projection models, consult the Wittgenstein Centre for Demography and Global Human Capital's website: http://www.oeaw.ac.at/vid/dataexplorer/