Wittgenstein Projection: Population age 20-24 in thousands by highest in Sudan
Sudan: Wittgenstein Projection: Population age 20-24 in thousands by highest was 137.95 in 2100. ▲ Rising
Wittgenstein Projection: Population age 20-24 in thousands by highest in Sudan, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Sudan recorded 137.95 for wittgenstein projection: population age 20-24 in thousands by highest in 2100.
Compared with earlier readings it is down 11.9% over ten years.
Over the whole period, wittgenstein projection: population age 20-24 in thousands by highest in Sudan peaked at 185.73 in 2060 and was at its lowest, 39.91, in 2010.
Sudan ranks 34th of 166 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 47.8 | 39.91 | 55.68 | 2 |
| 2020s | 83.4 | 73.5 | 93.29 | 2 |
| 2030s | 121.24 | 112.36 | 130.12 | 2 |
| 2040s | 152.98 | 146.14 | 159.82 | 2 |
| 2050s | 177.51 | 173.25 | 181.77 | 2 |
| 2060s | 185.12 | 184.51 | 185.73 | 2 |
| 2070s | 179.98 | 178.71 | 181.24 | 2 |
| 2080s | 167.65 | 163.67 | 171.64 | 2 |
| 2090s | 152.68 | 148.75 | 156.6 | 2 |
| 2100s | 137.95 | 137.95 | 137.95 | 1 |
Countries ranked near Sudan
More reference data data for Sudan
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.5846 (2019)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 17.81 (2019)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 19.69 (2019)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.4356 (2019)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 19.69 (2019)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 1.96 (2019)
- Emission Totals - Emissions (N2O) - Manure Management 0.8148 (2019)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 80.68 (2019)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 93.88 (2019)
- Emission Totals - Emissions (N2O) - Crop Residues 2.37 (2019)
Frequently asked questions
- What is wittgenstein projection: population age 20-24 in thousands by highest in Sudan?
- Wittgenstein projection: population age 20-24 in thousands by highest in Sudan was 137.95 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 age 20-24 in thousands by highest recorded in Sudan?
- The highest recorded value was 185.73 in 2060.
- What is the lowest wittgenstein projection: population age 20-24 in thousands by highest recorded in Sudan?
- The lowest recorded value was 39.91 in 2010.
- How does Sudan rank for wittgenstein projection: population age 20-24 in thousands by highest?
- Sudan ranks 34th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 20-24 in thousands by highest rising or falling in Sudan?
- Over the last ten years it is down 11.9%. 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 age 20-24 in thousands by highest level of educational attainment. Lower Secondary. Male. 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 in the specified age group 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/