Nepal vs Venezuela, Bolivarian Republic of: Wittgenstein Projection: Population in thousands by highest level of

Nepal
45.89
in 2100
Venezuela, Bolivarian Republic of
46.35
in 2100
Nepal rank
43rd
Venezuela, Bolivarian Republic of rank
42nd

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

  • Nepal
  • Venezuela, Bolivarian Republic of
02004006008001.0k201020552100

How they compare

Venezuela, Bolivarian Republic of currently reports 46.35 against 45.89 in Nepal, a difference of 0.46.

The two have swapped places 2 times across 19 shared years of data; in 2010 it was Venezuela, Bolivarian Republic of ahead.

Nepal ranks 43rd and Venezuela, Bolivarian Republic of ranks 42nd of 166 countries.

Across the 10 decades both report, Nepal averaged higher in 3 and Venezuela, Bolivarian Republic of in 7.

Head to head by decade

Decade Nepal Venezuela, Bolivarian Republic of Difference Ahead
2010s 385.82 974.95 589.12 Venezuela, Bolivarian Republic of
2020s 409.43 868.65 459.23 Venezuela, Bolivarian Republic of
2030s 420.7 730.16 309.46 Venezuela, Bolivarian Republic of
2040s 404.95 577.24 172.28 Venezuela, Bolivarian Republic of
2050s 363 428.06 65.06 Venezuela, Bolivarian Republic of
2060s 293.38 294.81 1.43 Venezuela, Bolivarian Republic of
2070s 208.82 188.49 20.33 Nepal
2080s 132.75 115.07 17.68 Nepal
2090s 75.56 68.58 6.98 Nepal
2100s 45.89 46.35 0.46 Venezuela, Bolivarian Republic of

Averages of every year both report within each decade.

Frequently asked questions

Which has higher wittgenstein projection: population in thousands by highest level of, Nepal or Venezuela, Bolivarian Republic of?
Venezuela, Bolivarian Republic of, at 46.35 against 45.89 in Nepal as of 2100.
What is the difference in wittgenstein projection: population in thousands by highest level of between Nepal and Venezuela, Bolivarian Republic of?
0.46, with Venezuela, Bolivarian Republic of ahead.
How many years of comparable data are there for Nepal and Venezuela, Bolivarian Republic of?
19 years are reported by both, from 2010 to 2100.
How do Nepal and Venezuela, Bolivarian Republic of rank globally for wittgenstein projection: population in thousands by highest level of?
Nepal ranks 43rd and Venezuela, Bolivarian Republic of ranks 42nd 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. 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

Nepal vs Venezuela, Bolivarian Republic of: 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 24 August 2026, from https://reference.statizoid.com/compare/wittgenstein-projection-population-in-thousands-by-highest-level-of-educational-16/nepal/venezuela-rb/

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-16/nepal/venezuela-rb/">Nepal vs Venezuela, Bolivarian Republic of: 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. 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 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/