Central African Republic vs Sierra Leone: Wittgenstein Projection: Population age 20-24 in thousands by highest

Central African Republic
18.03
in 2100
Sierra Leone
18.81
in 2100
Central African Republic rank
18th
Sierra Leone rank
16th

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

  • Central African Republic
  • Sierra Leone
255075100125201020552100

How they compare

Sierra Leone currently reports 18.81 against 18.03 in Central African Republic, a difference of 0.78.

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

Central African Republic ranks 18th and Sierra Leone ranks 16th of 166 countries.

Across the 10 decades both report, Central African Republic averaged higher in 6 and Sierra Leone in 4.

Head to head by decade

Decade Central African Republic Sierra Leone Difference Ahead
2010s 129.71 100.23 29.48 Central African Republic
2020s 135.55 99.06 36.49 Central African Republic
2030s 130.59 107 23.59 Central African Republic
2040s 117.77 100.02 17.75 Central African Republic
2050s 97.61 88.44 9.17 Central African Republic
2060s 76.08 73.77 2.31 Central African Republic
2070s 55.34 55.64 0.305 Sierra Leone
2080s 38.47 40.3 1.83 Sierra Leone
2090s 25.5 26.88 1.38 Sierra Leone
2100s 18.03 18.81 0.78 Sierra Leone

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, Central African Republic or Sierra Leone?
Sierra Leone, at 18.81 against 18.03 in Central African Republic as of 2100.
What is the difference in wittgenstein projection: population age 20-24 in thousands by highest between Central African Republic and Sierra Leone?
0.78, with Sierra Leone ahead.
How many years of comparable data are there for Central African Republic and Sierra Leone?
19 years are reported by both, from 2010 to 2100.
How do Central African Republic and Sierra Leone rank globally for wittgenstein projection: population age 20-24 in thousands by highest?
Central African Republic ranks 18th and Sierra Leone ranks 16th 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. Incomplete Primary. Total. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Central African Republic vs Sierra Leone: 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 05 September 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-20-24-in-thousands-by-highest-level-of-educational-18/central-african-republic/sierra-leone/

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<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-20-24-in-thousands-by-highest-level-of-educational-18/central-african-republic/sierra-leone/">Central African Republic vs Sierra Leone: 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. Incomplete Primary. Total
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 pre-primary education or incomplete primary 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/