Latvia vs Zimbabwe: Wittgenstein Projection: Population in thousands by highest level of e
Wittgenstein Projection: Population in thousands by highest level of e over time
- Latvia
- Zimbabwe
How they compare
Latvia currently reports 0.58 against 0.49 in Zimbabwe, a difference of 0.09.
That makes Latvia's figure about 1.2 times Zimbabwe's.
The two have swapped places 1 time across 19 shared years of data; in 2010 it was Zimbabwe ahead.
Latvia ranks 132nd and Zimbabwe ranks 134th of 166 countries.
Across the 10 decades both report, Latvia averaged higher in 2 and Zimbabwe in 8.
Head to head by decade
| Decade | Latvia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 5.03 | 267.11 | 262.08 | Zimbabwe |
| 2020s | 2.79 | 159.55 | 156.75 | Zimbabwe |
| 2030s | 1.86 | 81.5 | 79.64 | Zimbabwe |
| 2040s | 1.37 | 32.83 | 31.46 | Zimbabwe |
| 2050s | 1.04 | 10.3 | 9.27 | Zimbabwe |
| 2060s | 0.84 | 3.35 | 2.51 | Zimbabwe |
| 2070s | 0.715 | 1.45 | 0.735 | Zimbabwe |
| 2080s | 0.635 | 0.76 | 0.125 | Zimbabwe |
| 2090s | 0.6 | 0.535 | 0.065 | Latvia |
| 2100s | 0.58 | 0.49 | 0.09 | Latvia |
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, Latvia or Zimbabwe?
- Latvia, at 0.58 against 0.49 in Zimbabwe as of 2100.
- What is the difference in wittgenstein projection: population in thousands by highest level of e between Latvia and Zimbabwe?
- 0.09, with Latvia ahead.
- How many years of comparable data are there for Latvia and Zimbabwe?
- 19 years are reported by both, from 2010 to 2100.
- How do Latvia and Zimbabwe rank globally for wittgenstein projection: population in thousands by highest level of e?
- Latvia ranks 132nd and Zimbabwe ranks 134th 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. No Education. Female. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Total population in thousands that has never attended school. 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/