Wittgenstein Projection: Population in thousands by highest level of e in Rwanda
Rwanda: Wittgenstein Projection: Population in thousands by highest level of e was 2,338 in 2100. ◆ Volatile
Wittgenstein Projection: Population in thousands by highest level of e in Rwanda, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Rwanda recorded 2,338 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the highest value across all 19 years on record.
The figure is up 32.6% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Rwanda peaked at 2,338 in 2100 and was at its lowest, 41.66, in 2010.
Rwanda ranks 97th of 166 countries on this measure, in the middle of the range.
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 | 49.31 | 41.66 | 56.97 | 2 |
| 2020s | 88.18 | 76.09 | 100.26 | 2 |
| 2030s | 155.76 | 133.42 | 178.11 | 2 |
| 2040s | 269.5 | 235.1 | 303.91 | 2 |
| 2050s | 433.49 | 385.17 | 481.81 | 2 |
| 2060s | 667.99 | 598.2 | 737.77 | 2 |
| 2070s | 993.04 | 900.72 | 1,085 | 2 |
| 2080s | 1,401 | 1,289 | 1,513 | 2 |
| 2090s | 1,901 | 1,763 | 2,039 | 2 |
| 2100s | 2,338 | 2,338 | 2,338 | 1 |
Countries ranked near Rwanda
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: population in thousands by highest level of e in Rwanda?
- Wittgenstein projection: population in thousands by highest level of e in Rwanda was 2,338 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 Rwanda?
- The highest recorded value was 2,338 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Rwanda?
- The lowest recorded value was 41.66 in 2010.
- How does Rwanda rank for wittgenstein projection: population in thousands by highest level of e?
- Rwanda ranks 97th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Rwanda?
- Over the last ten years it is up 32.6%. The long-run trend across the full record is volatile.
- 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: Population in thousands by highest level of educational attainment. Post Secondary. Total. 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 post-secondary or tertiary 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/