Russian Federation vs Uganda: Wittgenstein Projection: Population age 20-24 in thousands by highest

Russian Federation
830.84
in 2100
Uganda
974.33
in 2100
Russian Federation rank
15th
Uganda rank
12th

Wittgenstein Projection: Population age 20-24 in thousands by highest over time

  • Russian Federation
  • Uganda
02004006008001.0k201020552100

How they compare

Uganda currently reports 974.33 against 830.84 in Russian Federation, a difference of 143.49.

That makes Uganda's figure about 1.2 times Russian Federation's.

The two have swapped places 1 time across 19 shared years of data; in 2010 it was Russian Federation ahead.

Russian Federation ranks 15th and Uganda ranks 12th of 166 countries.

Across the 10 decades both report, Russian Federation averaged higher in 8 and Uganda in 2.

Head to head by decade

Decade Russian Federation Uganda Difference Ahead
2010s 554.81 30.23 524.58 Russian Federation
2020s 421.61 48.86 372.75 Russian Federation
2030s 608.89 95.08 513.81 Russian Federation
2040s 618 173.29 444.7 Russian Federation
2050s 611.41 302.97 308.44 Russian Federation
2060s 773.9 470.38 303.52 Russian Federation
2070s 796.3 619.11 177.19 Russian Federation
2080s 769.82 760.39 9.42 Russian Federation
2090s 826.9 886.45 59.55 Uganda
2100s 830.84 974.33 143.49 Uganda

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 20-24 in thousands by highest, Russian Federation or Uganda?
Uganda, at 974.33 against 830.84 in Russian Federation as of 2100.
What is the difference in wittgenstein projection: population age 20-24 in thousands by highest between Russian Federation and Uganda?
143.49, with Uganda ahead.
How many years of comparable data are there for Russian Federation and Uganda?
19 years are reported by both, from 2010 to 2100.
How do Russian Federation and Uganda rank globally for wittgenstein projection: population age 20-24 in thousands by highest?
Russian Federation ranks 15th and Uganda ranks 12th 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 20-24 in thousands by highest level of educational attainment. Post Secondary. Male. 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

Russian Federation vs Uganda: Wittgenstein Projection: Population age 20-24 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 03 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-20-24-in-thousands-by-highest-level-of-educational-11/russian-federation/uganda/

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-20-24-in-thousands-by-highest-level-of-educational-11/russian-federation/uganda/">Russian Federation vs Uganda: Wittgenstein Projection: Population age 20-24 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Post Secondary. Male
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 completed post-secondary or tertiary education as the highest level of educational attainment. 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/