Wittgenstein Projection: Population in thousands by highest level of e in Venezuela
Venezuela: Wittgenstein Projection: Population in thousands by highest level of e was 1,137 in 2100. ▼ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Venezuela, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: population in thousands by highest level of e in Venezuela stood at 1,137. That is the lowest value across all 19 years on record.
That represents a change of down 21.9% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Venezuela peaked at 2,876 in 2035 and was at its lowest, 1,137, in 2100.
That places Venezuela 40th out of 166 countries with data for 2100, putting it in the top quarter.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2,583 | 2,530 | 2,637 | 2 |
| 2020s | 2,787 | 2,747 | 2,827 | 2 |
| 2030s | 2,873 | 2,870 | 2,876 | 2 |
| 2040s | 2,822 | 2,794 | 2,850 | 2 |
| 2050s | 2,658 | 2,604 | 2,711 | 2 |
| 2060s | 2,402 | 2,324 | 2,480 | 2 |
| 2070s | 2,070 | 1,983 | 2,157 | 2 |
| 2080s | 1,717 | 1,628 | 1,805 | 2 |
| 2090s | 1,374 | 1,292 | 1,456 | 2 |
| 2100s | 1,137 | 1,137 | 1,137 | 1 |
Countries ranked near Venezuela
More reference data data for Venezuela
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2667 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.91 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 38.02 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 53.46 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 41.9 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 1,537 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 6.85 (2050)
- Emission Totals - Emissions (CH4) - Burning - Crop residues 3.94 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 1,407 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.45 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Venezuela?
- Wittgenstein projection: population in thousands by highest level of e in Venezuela was 1,137 in 2100, according to Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
- What is the highest wittgenstein projection: population in thousands by highest level of e recorded in Venezuela?
- The highest recorded value was 2,876 in 2035.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Venezuela?
- The lowest recorded value was 1,137 in 2100.
- How does Venezuela rank for wittgenstein projection: population in thousands by highest level of e?
- Venezuela ranks 40th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Venezuela?
- Over the last ten years it is down 21.9%. The long-run trend across the full record is falling.
- Where does this Venezuela data come from?
- The figures come from Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/, published as part of Wittgenstein Projection: Population in thousands by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
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/