Malawi vs Russian Federation: Wittgenstein Projection: Population age 25-29 in thousands by highest

Malawi
1,615
in 2100
Russian Federation
1,244
in 2100
Malawi rank
12th
Russian Federation rank
15th

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

  • Malawi
  • Russian Federation
01.0k2.0k3.0k4.0k201020552100

How they compare

Malawi currently reports 1,615 against 1,244 in Russian Federation, a difference of 371.

That makes Malawi's figure about 1.3 times Russian Federation's.

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

Malawi ranks 12th and Russian Federation ranks 15th of 166 countries.

Across the 10 decades both report, Malawi averaged higher in 3 and Russian Federation in 7.

Head to head by decade

Decade Malawi Russian Federation Difference Ahead
2010s 71.02 4,123 4,052 Russian Federation
2020s 155.08 2,475 2,320 Russian Federation
2030s 295.11 2,463 2,168 Russian Federation
2040s 519.62 2,570 2,051 Russian Federation
2050s 810.82 1,970 1,159 Russian Federation
2060s 1,129 1,874 745.08 Russian Federation
2070s 1,389 1,831 442.18 Russian Federation
2080s 1,547 1,493 53.39 Malawi
2090s 1,618 1,321 296.35 Malawi
2100s 1,615 1,244 371.34 Malawi

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, Malawi or Russian Federation?
Malawi, at 1,615 against 1,244 in Russian Federation as of 2100.
What is the difference in wittgenstein projection: population age 25-29 in thousands by highest between Malawi and Russian Federation?
371, with Malawi ahead.
How many years of comparable data are there for Malawi and Russian Federation?
19 years are reported by both, from 2010 to 2100.
How do Malawi and Russian Federation rank globally for wittgenstein projection: population age 25-29 in thousands by highest?
Malawi ranks 12th and Russian Federation ranks 15th 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. Upper Secondary. Female. 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

Malawi vs Russian Federation: 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-7/malawi/russian-federation/

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-age-25-29-in-thousands-by-highest-level-of-educational-7/malawi/russian-federation/">Malawi vs Russian Federation: 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. Upper Secondary. 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 upper secondary or incomplete post-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/