Republic of Moldova vs Slovenia: Wittgenstein Projection: Population in thousands by highest level of e

Republic of Moldova
0.66
in 2100
Slovenia
0.33
in 2100
Republic of Moldova rank
154th
Slovenia rank
157th

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

  • Republic of Moldova
  • Slovenia
050100150201020552100

How they compare

Republic of Moldova currently reports 0.66 against 0.33 in Slovenia, a difference of 0.33.

That makes Republic of Moldova's figure about 2.0 times Slovenia's.

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

Republic of Moldova ranks 154th and Slovenia ranks 157th of 166 countries.

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

Head to head by decade

Decade Republic of Moldova Slovenia Difference Ahead
2010s 120.57 7.93 112.64 Republic of Moldova
2020s 57.05 4.46 52.58 Republic of Moldova
2030s 25.71 2.7 23.02 Republic of Moldova
2040s 12.94 1.85 11.09 Republic of Moldova
2050s 7.81 1.36 6.45 Republic of Moldova
2060s 5.03 1.06 3.97 Republic of Moldova
2070s 3.09 0.8 2.29 Republic of Moldova
2080s 1.77 0.59 1.18 Republic of Moldova
2090s 1 0.425 0.575 Republic of Moldova
2100s 0.66 0.33 0.33 Republic of Moldova

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of e, Republic of Moldova or Slovenia?
Republic of Moldova, at 0.66 against 0.33 in Slovenia as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of e between Republic of Moldova and Slovenia?
0.33, with Republic of Moldova ahead.
How many years of comparable data are there for Republic of Moldova and Slovenia?
19 years are reported by both, from 2010 to 2100.
How do Republic of Moldova and Slovenia rank globally for wittgenstein projection: population in thousands by highest level of e?
Republic of Moldova ranks 154th and Slovenia ranks 157th 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. Primary. 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

Republic of Moldova vs Slovenia: Wittgenstein Projection: Population in thousands by highest level of e. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 21 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational/moldova/slovenia/

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/moldova/slovenia/">Republic of Moldova vs Slovenia: Wittgenstein Projection: Population in thousands by highest level of e</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Population in thousands by highest level of educational attainment. Primary. 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 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/