Wittgenstein Projection: Mean years of schooling. Age 80+. Total in Sudan
Sudan: Wittgenstein Projection: Mean years of schooling. Age 80+. Total was 9.7 in 2100. β Volatile
Wittgenstein Projection: Mean years of schooling. Age 80+. Total in Sudan, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: mean years of schooling. age 80+. total in Sudan stood at 9.7. That is the highest value across all 19 years on record.
Compared with earlier readings it is up 14.1% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 80+. total in Sudan peaked at 9.7 in 2100 and was at its lowest, 0.3, in 2010.
That places Sudan 143rd out of 166 countries with data for 2100, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.4 | 0.3 | 0.5 | 2 |
| 2020s | 0.75 | 0.6 | 0.9 | 2 |
| 2030s | 1.45 | 1.2 | 1.7 | 2 |
| 2040s | 2.6 | 2.2 | 3 | 2 |
| 2050s | 3.75 | 3.5 | 4 | 2 |
| 2060s | 4.5 | 4.2 | 4.8 | 2 |
| 2070s | 5.95 | 5.5 | 6.4 | 2 |
| 2080s | 7.55 | 7.2 | 7.9 | 2 |
| 2090s | 8.8 | 8.5 | 9.1 | 2 |
| 2100s | 9.7 | 9.7 | 9.7 | 1 |
Countries ranked near Sudan
- 141 Honduras 9.8 compare
- 141 Pakistan 9.8 compare
- 143 Central African Republic 9.7 compare
- 143 Tanzania, United Republic of 9.7 compare
- 146 Cabo Verde 9.4 compare
- 146 Somalia 9.4 compare
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: mean years of schooling. age 80+. total in Sudan?
- Wittgenstein projection: mean years of schooling. age 80+. total in Sudan was 9.7 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: mean years of schooling. age 80+. total recorded in Sudan?
- The highest recorded value was 9.7 in 2100.
- What is the lowest wittgenstein projection: mean years of schooling. age 80+. total recorded in Sudan?
- The lowest recorded value was 0.3 in 2010.
- How does Sudan rank for wittgenstein projection: mean years of schooling. age 80+. total?
- Sudan ranks 143rd out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 80+. total rising or falling in Sudan?
- Over the last ten years it is up 14.1%. The long-run trend across the full record is volatile.
- 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: Mean years of schooling. Age 80+. 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
Mean number of years spent in school by age group and gender. 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/