Central African Republic vs Nepal: Wittgenstein Projection: Population in thousands by highest level of

Central African Republic
40.5
in 2100
Nepal
31.19
in 2100
Central African Republic rank
44th
Nepal rank
46th

Wittgenstein Projection: Population in thousands by highest level of over time

  • Central African Republic
  • Nepal
0200400600201020552100

How they compare

Central African Republic currently reports 40.5 against 31.19 in Nepal, a difference of 9.31.

That makes Central African Republic's figure about 1.3 times Nepal's.

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

Central African Republic ranks 44th and Nepal ranks 46th of 166 countries.

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

Head to head by decade

Decade Central African Republic Nepal Difference Ahead
2010s 477.42 559.77 82.34 Nepal
2020s 498.62 559.25 60.63 Nepal
2030s 470.26 521.47 51.21 Nepal
2040s 402.54 455.79 53.25 Nepal
2050s 312.72 369.07 56.35 Nepal
2060s 224.42 269.29 44.87 Nepal
2070s 153.26 174.89 21.63 Nepal
2080s 98.31 101.71 3.41 Nepal
2090s 60.32 53.56 6.76 Central African Republic
2100s 40.5 31.19 9.31 Central African Republic

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of, Central African Republic or Nepal?
Central African Republic, at 40.5 against 31.19 in Nepal as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of between Central African Republic and Nepal?
9.31, with Central African Republic ahead.
How many years of comparable data are there for Central African Republic and Nepal?
19 years are reported by both, from 2010 to 2100.
How do Central African Republic and Nepal rank globally for wittgenstein projection: population in thousands by highest level of?
Central African Republic ranks 44th and Nepal ranks 46th 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 in thousands by highest level of educational attainment. Incomplete Primary. 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

Central African Republic vs Nepal: Wittgenstein Projection: Population in thousands by highest level of. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 26 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-17/central-african-republic/nepal/

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-in-thousands-by-highest-level-of-educational-17/central-african-republic/nepal/">Central African Republic vs Nepal: Wittgenstein Projection: Population in thousands by highest level of</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population in thousands by highest level of educational attainment. Incomplete Primary. 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 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/