Wittgenstein Projection: Population in thousands by highest level of e in Sudan
Sudan: Wittgenstein Projection: Population in thousands by highest level of e was 4,705 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Sudan, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population in thousands by highest level of e in Sudan is 4,705, measured in 2100.
That represents a change of down 15.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Sudan peaked at 6,436 in 2070 and was at its lowest, 925.38, in 2010.
Sudan ranks 11th 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 | 1,173 | 925.38 | 1,421 | 2 |
| 2020s | 2,203 | 1,914 | 2,491 | 2 |
| 2030s | 3,427 | 3,111 | 3,743 | 2 |
| 2040s | 4,661 | 4,362 | 4,960 | 2 |
| 2050s | 5,690 | 5,479 | 5,901 | 2 |
| 2060s | 6,285 | 6,201 | 6,370 | 2 |
| 2070s | 6,396 | 6,356 | 6,436 | 2 |
| 2080s | 6,033 | 5,901 | 6,165 | 2 |
| 2090s | 5,360 | 5,154 | 5,565 | 2 |
| 2100s | 4,705 | 4,705 | 4,705 | 1 |
Countries ranked near Sudan
More reference data data for Sudan
- Emission Totals - Emissions (N2O) - Crop Residues 2.37 (2019)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 19.69 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 17.81 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5846 (2019)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.4356 (2019)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 19.69 (2019)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 93.88 (2019)
- Emission Totals - Emissions (N2O) - Manure Management 0.8148 (2019)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 80.68 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure applied to 519.4 (2019)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Sudan?
- Wittgenstein projection: population in thousands by highest level of e in Sudan was 4,705 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 Sudan?
- The highest recorded value was 6,436 in 2070.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Sudan?
- The lowest recorded value was 925.38 in 2010.
- How does Sudan rank for wittgenstein projection: population in thousands by highest level of e?
- Sudan ranks 11th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Sudan?
- Over the last ten years it is down 15.5%. The long-run trend across the full record is rising.
- Where does this Sudan 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/