Bangladesh vs Madagascar: Wittgenstein Projection: Population in thousands by highest level of

Bangladesh
2,552
in 2100
Madagascar
3,839
in 2100
Bangladesh rank
4th
Madagascar rank
3rd

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

  • Bangladesh
  • Madagascar
5.0k10.0k15.0k201020552100

How they compare

Madagascar currently reports 3,839 against 2,552 in Bangladesh, a difference of 1,287.

That makes Madagascar's figure about 1.5 times Bangladesh's.

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

Bangladesh ranks 4th and Madagascar ranks 3rd of 166 countries.

Across the 10 decades both report, Bangladesh averaged higher in 7 and Madagascar in 3.

Head to head by decade

Decade Bangladesh Madagascar Difference Ahead
2010s 16,844 5,291 11,553 Bangladesh
2020s 17,395 6,798 10,597 Bangladesh
2030s 17,032 8,011 9,022 Bangladesh
2040s 15,689 8,669 7,020 Bangladesh
2050s 13,412 8,746 4,666 Bangladesh
2060s 10,542 8,267 2,275 Bangladesh
2070s 7,661 7,336 325.07 Bangladesh
2080s 5,293 6,127 833.96 Madagascar
2090s 3,543 4,805 1,262 Madagascar
2100s 2,552 3,839 1,287 Madagascar

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of, Bangladesh or Madagascar?
Madagascar, at 3,839 against 2,552 in Bangladesh as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of between Bangladesh and Madagascar?
1,287, with Madagascar ahead.
How many years of comparable data are there for Bangladesh and Madagascar?
19 years are reported by both, from 2010 to 2100.
How do Bangladesh and Madagascar rank globally for wittgenstein projection: population in thousands by highest level of?
Bangladesh ranks 4th and Madagascar ranks 3rd 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. Total. 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

Bangladesh vs Madagascar: 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 27 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-18/bangladesh/madagascar/

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-18/bangladesh/madagascar/">Bangladesh vs Madagascar: 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. 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 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/