Democratic Republic of Congo vs Malawi: Wittgenstein Projection … thousands 25-29 Primary. Female

Democratic Republic of Congo
81.75
in 2100
Malawi
75.13
in 2100
Democratic Republic of Congo rank
17th
Malawi rank
18th

Wittgenstein Projection … thousands 25-29 Primary. Female over time

  • Democratic Republic of Congo
  • Malawi
0200400600800201020552100

How they compare

Democratic Republic of Congo currently reports 81.75 against 75.13 in Malawi, a difference of 6.62.

That makes Democratic Republic of Congo's figure about 1.1 times Malawi's.

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

Democratic Republic of Congo ranks 17th and Malawi ranks 18th of 166 countries.

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

Head to head by decade

Decade Democratic Republic of Congo Malawi Difference Ahead
2010s 439.47 103.84 335.63 Democratic Republic of Congo
2020s 640.99 161.23 479.75 Democratic Republic of Congo
2030s 767.32 219.14 548.18 Democratic Republic of Congo
2040s 788.8 270.38 518.41 Democratic Republic of Congo
2050s 694.42 287.66 406.76 Democratic Republic of Congo
2060s 512.42 270.4 242.02 Democratic Republic of Congo
2070s 359.61 228.28 131.33 Democratic Republic of Congo
2080s 226.18 167.64 58.54 Democratic Republic of Congo
2090s 129.97 110.73 19.23 Democratic Republic of Congo
2100s 81.75 75.13 6.62 Democratic Republic of Congo

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, Democratic Republic of Congo or Malawi?
Democratic Republic of Congo, at 81.75 against 75.13 in Malawi as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Democratic Republic of Congo and Malawi?
6.62, with Democratic Republic of Congo ahead.
How many years of comparable data are there for Democratic Republic of Congo and Malawi?
19 years are reported by both, from 2010 to 2100.
How do Democratic Republic of Congo and Malawi rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Democratic Republic of Congo ranks 17th and Malawi ranks 18th 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. Primary. Female. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Democratic Republic of Congo vs Malawi: 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 13 November 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-25-29-in-thousands-by-highest-level-of-educational/congo-dem-rep/malawi/

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About this data

Indicator
Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Primary. 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 in the specified age group that has completed primary education or incomplete lower secondary 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/