Germany vs Madagascar: Wittgenstein Projection: Population age 15-19 in thousands by highest

Germany
993.34
in 2100
Madagascar
927.59
in 2100
Germany rank
20th
Madagascar rank
23rd

Wittgenstein Projection: Population age 15-19 in thousands by highest over time

  • Germany
  • Madagascar
02505007501.0k1.2k201020552100

How they compare

Germany currently reports 993.34 against 927.59 in Madagascar, a difference of 65.75.

That makes Germany's figure about 1.1 times Madagascar's.

Across all 19 years both countries report, Germany has been ahead every year.

Germany ranks 20th and Madagascar ranks 23rd of 166 countries.

Germany has averaged higher in every one of the 10 decades both report.

Head to head by decade

Decade Germany Madagascar Difference Ahead
2010s 1,129 141.66 987.27 Germany
2020s 1,081 246.03 834.58 Germany
2030s 1,100 341.73 758.65 Germany
2040s 1,148 442.36 705.36 Germany
2050s 1,115 542.02 572.95 Germany
2060s 1,106 631.77 473.82 Germany
2070s 1,118 736.5 381.77 Germany
2080s 1,082 826.84 254.86 Germany
2090s 1,026 903.33 123.04 Germany
2100s 993.34 927.59 65.75 Germany

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population age 15-19 in thousands by highest, Germany or Madagascar?
Germany, at 993.34 against 927.59 in Madagascar as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between Germany and Madagascar?
65.75, with Germany ahead.
How many years of comparable data are there for Germany and Madagascar?
19 years are reported by both, from 2010 to 2100.
How do Germany and Madagascar rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
Germany ranks 20th and Madagascar ranks 23rd 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 15-19 in thousands by highest level of educational attainment. Lower 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

Germany vs Madagascar: Wittgenstein Projection: Population age 15-19 in thousands by highest. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 25 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-4/germany/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-age-15-19-in-thousands-by-highest-level-of-educational-4/germany/madagascar/">Germany vs Madagascar: Wittgenstein Projection: Population age 15-19 in thousands by highest</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. Lower 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 lower secondary or incomplete upper 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/