Central African Republic vs Mongolia: Wittgenstein Projection: Population age 25-29 in thousands by highest

Central African Republic
41.8
in 2100
Mongolia
35.42
in 2100
Central African Republic rank
116th
Mongolia rank
119th

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

  • Central African Republic
  • Mongolia
010203040201020552100

How they compare

Central African Republic currently reports 41.8 against 35.42 in Mongolia, a difference of 6.38.

That makes Central African Republic's figure about 1.2 times Mongolia's.

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

Central African Republic ranks 116th and Mongolia ranks 119th of 166 countries.

Across the 10 decades both report, Central African Republic averaged higher in 2 and Mongolia in 8.

Head to head by decade

Decade Central African Republic Mongolia Difference Ahead
2010s 2.12 10.88 8.76 Mongolia
2020s 3.44 10.87 7.44 Mongolia
2030s 5.72 13.74 8.02 Mongolia
2040s 9.43 20.4 10.97 Mongolia
2050s 14.75 23.27 8.52 Mongolia
2060s 21.28 28.62 7.34 Mongolia
2070s 26.77 33.3 6.53 Mongolia
2080s 32.45 32.92 0.465 Mongolia
2090s 38 33.88 4.12 Central African Republic
2100s 41.8 35.42 6.38 Central African Republic

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, Central African Republic or Mongolia?
Central African Republic, at 41.8 against 35.42 in Mongolia as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Central African Republic and Mongolia?
6.38, with Central African Republic ahead.
How many years of comparable data are there for Central African Republic and Mongolia?
19 years are reported by both, from 2010 to 2100.
How do Central African Republic and Mongolia rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Central African Republic ranks 116th and Mongolia ranks 119th 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. Post Secondary. Male. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Central African Republic vs Mongolia: 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 31 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-11/central-african-republic/mongolia/

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<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational-11/central-african-republic/mongolia/">Central African Republic vs Mongolia: 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. 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/