Viet Nam vs Zimbabwe: Wittgenstein Projection: Population age 15-19 in thousands by highest

Viet Nam
37.44
in 2100
Zimbabwe
45.06
in 2100
Viet Nam rank
46th
Zimbabwe rank
43rd

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

  • Viet Nam
  • Zimbabwe
02004006008001.0k201020552100

How they compare

Zimbabwe currently reports 45.06 against 37.44 in Viet Nam, a difference of 7.62.

That makes Zimbabwe's figure about 1.2 times Viet Nam's.

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

Viet Nam ranks 46th and Zimbabwe ranks 43rd of 166 countries.

Across the 10 decades both report, Viet Nam averaged higher in 9 and Zimbabwe in 1.

Head to head by decade

Decade Viet Nam Zimbabwe Difference Ahead
2010s 793.6 264.12 529.47 Viet Nam
2020s 633.63 227.04 406.59 Viet Nam
2030s 565.72 192.05 373.67 Viet Nam
2040s 401.62 150.49 251.13 Viet Nam
2050s 278.43 118.64 159.79 Viet Nam
2060s 189.33 93 96.33 Viet Nam
2070s 125.67 75.38 50.3 Viet Nam
2080s 83.9 62.93 20.98 Viet Nam
2090s 54.26 51.91 2.36 Viet Nam
2100s 37.44 45.06 7.62 Zimbabwe

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, Viet Nam or Zimbabwe?
Zimbabwe, at 45.06 against 37.44 in Viet Nam as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between Viet Nam and Zimbabwe?
7.62, with Zimbabwe ahead.
How many years of comparable data are there for Viet Nam and Zimbabwe?
19 years are reported by both, from 2010 to 2100.
How do Viet Nam and Zimbabwe rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
Viet Nam ranks 46th and Zimbabwe ranks 43rd 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. Primary. Male. 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

Viet Nam vs Zimbabwe: 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 31 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-2/viet-nam/zimbabwe/

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-2/viet-nam/zimbabwe/">Viet Nam vs Zimbabwe: 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. Primary. Male
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/