Lesotho vs Republic of Moldova: Wittgenstein Projection: Population age 15-19 in thousands by highest

Lesotho
21.61
in 2100
Republic of Moldova
24.03
in 2100
Lesotho rank
133rd
Republic of Moldova rank
131st

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

  • Lesotho
  • Republic of Moldova
020406080201020552100

How they compare

Republic of Moldova currently reports 24.03 against 21.61 in Lesotho, a difference of 2.42.

That makes Republic of Moldova's figure about 1.1 times Lesotho's.

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

Lesotho ranks 133rd and Republic of Moldova ranks 131st of 166 countries.

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

Head to head by decade

Decade Lesotho Republic of Moldova Difference Ahead
2010s 9.22 73.57 64.35 Republic of Moldova
2020s 11.02 58.49 47.47 Republic of Moldova
2030s 13.32 53.96 40.64 Republic of Moldova
2040s 15.45 44.29 28.84 Republic of Moldova
2050s 16.94 38.75 21.81 Republic of Moldova
2060s 18.68 34.41 15.72 Republic of Moldova
2070s 19.83 29.34 9.52 Republic of Moldova
2080s 20.92 26.8 5.88 Republic of Moldova
2090s 21.44 25.27 3.84 Republic of Moldova
2100s 21.61 24.03 2.42 Republic of Moldova

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, Lesotho or Republic of Moldova?
Republic of Moldova, at 24.03 against 21.61 in Lesotho as of 2100.
What is the difference in wittgenstein projection: population age 15-19 in thousands by highest between Lesotho and Republic of Moldova?
2.42, with Republic of Moldova ahead.
How many years of comparable data are there for Lesotho and Republic of Moldova?
19 years are reported by both, from 2010 to 2100.
How do Lesotho and Republic of Moldova rank globally for wittgenstein projection: population age 15-19 in thousands by highest?
Lesotho ranks 133rd and Republic of Moldova ranks 131st 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. Upper Secondary. Total. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Lesotho vs Republic of Moldova: 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-9/lesotho/moldova/

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<a href="https://reference.statizoid.com/compare/wittgenstein-projection-population-age-15-19-in-thousands-by-highest-level-of-educational-9/lesotho/moldova/">Lesotho vs Republic of Moldova: 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. Upper Secondary. 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 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/