Wittgenstein Projection: Population in thousands by highest level of e in Tanzania
Tanzania: Wittgenstein Projection: Population in thousands by highest level of e was 12,315 in 2100. β² Rising
Wittgenstein Projection: Population in thousands by highest level of e in Tanzania, 2010β2100
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 Tanzania stood at 12,315.
That represents a change of down 0.9% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Tanzania peaked at 12,433 in 2090 and was at its lowest, 1,798, in 2010.
Tanzania ranks 15th of 166 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 2,032 | 1,798 | 2,266 | 2 |
| 2020s | 3,217 | 2,852 | 3,581 | 2 |
| 2030s | 4,826 | 4,396 | 5,255 | 2 |
| 2040s | 6,633 | 6,164 | 7,103 | 2 |
| 2050s | 8,530 | 8,058 | 9,002 | 2 |
| 2060s | 10,258 | 9,875 | 10,640 | 2 |
| 2070s | 11,503 | 11,272 | 11,734 | 2 |
| 2080s | 12,194 | 12,069 | 12,319 | 2 |
| 2090s | 12,421 | 12,410 | 12,433 | 2 |
| 2100s | 12,315 | 12,315 | 12,315 | 1 |
Countries ranked near Tanzania
More reference data data for Tanzania
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.6405 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 11.44 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 14.14 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.7582 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 14.14 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.15 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.26 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 59.37 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 72.45 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 4.13 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Tanzania?
- Wittgenstein projection: population in thousands by highest level of e in Tanzania was 12,315 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 Tanzania?
- The highest recorded value was 12,433 in 2090.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Tanzania?
- The lowest recorded value was 1,798 in 2010.
- How does Tanzania rank for wittgenstein projection: population in thousands by highest level of e?
- Tanzania ranks 15th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Tanzania?
- Over the last ten years it is down 0.9%. The long-run trend across the full record is rising.
- Where does this Tanzania 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. Lower Secondary. Total. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Total population in thousands that has completed lower secondary or incomplete upper 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/