Wittgenstein Projection: Mean years of schooling. Age 20-39. Total in Rwanda
Rwanda: Wittgenstein Projection: Mean years of schooling. Age 20-39. Total was 11.3 in 2100. β² Rising
Wittgenstein Projection: Mean years of schooling. Age 20-39. Total in Rwanda, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Rwanda recorded 11.3 for wittgenstein projection: mean years of schooling. age 20-39. total in 2100. That is the highest value across all 19 years on record.
That represents a change of up 3.7% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 20-39. total in Rwanda peaked at 11.3 in 2100 and was at its lowest, 4.9, in 2010.
That places Rwanda 158th out of 166 countries with data for 2100, putting it in the bottom 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 | 5.1 | 4.9 | 5.3 | 2 |
| 2020s | 6 | 5.8 | 6.2 | 2 |
| 2030s | 6.9 | 6.7 | 7.1 | 2 |
| 2040s | 7.7 | 7.5 | 7.9 | 2 |
| 2050s | 8.45 | 8.3 | 8.6 | 2 |
| 2060s | 9.15 | 9 | 9.3 | 2 |
| 2070s | 9.85 | 9.7 | 10 | 2 |
| 2080s | 10.45 | 10.3 | 10.6 | 2 |
| 2090s | 11 | 10.9 | 11.1 | 2 |
| 2100s | 11.3 | 11.3 | 11.3 | 1 |
Countries ranked near Rwanda
- 155 Mozambique 11.6 compare
- 156 Burkina Faso 11.4 compare
- 156 Burundi 11.4 compare
- 158 Turkmenistan 11.3 compare
- 160 Lao People's Democratic Republic 11.2 compare
- 161 Guinea-Bissau 11.1 compare
More reference data data for Rwanda
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2282 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.9517 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.38 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1223 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.38 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.7651 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.9517 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 4.27 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 6.98 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.666 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 20-39. total in Rwanda?
- Wittgenstein projection: mean years of schooling. age 20-39. total in Rwanda was 11.3 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 20-39. total recorded in Rwanda?
- The highest recorded value was 11.3 in 2100.
- What is the lowest wittgenstein projection: mean years of schooling. age 20-39. total recorded in Rwanda?
- The lowest recorded value was 4.9 in 2010.
- How does Rwanda rank for wittgenstein projection: mean years of schooling. age 20-39. total?
- Rwanda ranks 158th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 20-39. total rising or falling in Rwanda?
- Over the last ten years it is up 3.7%. The long-run trend across the full record is rising.
- Where does this Rwanda 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 20-39. 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/