Democratic Republic of the Congo vs Malaysia: Wittgenstein Projection: Population in thousands by highest level of e

Democratic Republic of the Congo
81.95
in 2100
Malaysia
53.71
in 2100
Democratic Republic of the Congo rank
36th
Malaysia rank
39th

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

  • Democratic Republic of the Congo
  • Malaysia
01.0k2.0k3.0k4.0k201020552100

How they compare

Democratic Republic of the Congo currently reports 81.95 against 53.71 in Malaysia, a difference of 28.24.

That makes Democratic Republic of the Congo's figure about 1.5 times Malaysia's.

Across all 19 years both countries report, Democratic Republic of the Congo has been ahead every year.

Democratic Republic of the Congo ranks 36th and Malaysia ranks 39th of 166 countries.

Democratic Republic of the Congo has averaged higher in every one of the 10 decades both report.

Head to head by decade

Decade Democratic Republic of the Congo Malaysia Difference Ahead
2010s 4,034 834.85 3,199 Democratic Republic of the Congo
2020s 3,284 632.19 2,652 Democratic Republic of the Congo
2030s 2,521 434.39 2,086 Democratic Republic of the Congo
2040s 1,851 282.12 1,569 Democratic Republic of the Congo
2050s 1,284 173.08 1,111 Democratic Republic of the Congo
2060s 825.9 108.61 717.29 Democratic Republic of the Congo
2070s 492.09 77.72 414.37 Democratic Republic of the Congo
2080s 266.64 64.19 202.45 Democratic Republic of the Congo
2090s 136.18 57.62 78.56 Democratic Republic of the Congo
2100s 81.95 53.71 28.24 Democratic Republic of the Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of e, Democratic Republic of the Congo or Malaysia?
Democratic Republic of the Congo, at 81.95 against 53.71 in Malaysia as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between Democratic Republic of the Congo and Malaysia?
28.24, with Democratic Republic of the Congo ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Malaysia?
19 years are reported by both, from 2010 to 2100.
How do Democratic Republic of the Congo and Malaysia rank globally for wittgenstein projection: population in thousands by highest level of e?
Democratic Republic of the Congo ranks 36th and Malaysia ranks 39th 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. No Education. Female. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Democratic Republic of the Congo vs Malaysia: Wittgenstein Projection: Population in thousands by highest level of e. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 17 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-13/congo-dem-rep/malaysia/

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About this data

Indicator
Wittgenstein Projection: Population 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 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/