Wittgenstein Projection: Population in thousands by highest level of e in Rwanda
Rwanda: Wittgenstein Projection: Population in thousands by highest level of e was 1,438 in 2100. ▲ Rising
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
In 2100, wittgenstein projection: population in thousands by highest level of e in Rwanda stood at 1,438.
Compared with earlier readings it is down 4.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Rwanda peaked at 1,505 in 2090 and was at its lowest, 173.03, in 2010.
That places Rwanda 40th out of 166 countries with data for 2100, putting it 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 | 200.2 | 173.03 | 227.38 | 2 |
| 2020s | 344 | 297.33 | 390.67 | 2 |
| 2030s | 566.87 | 506.15 | 627.59 | 2 |
| 2040s | 805.53 | 747.28 | 863.79 | 2 |
| 2050s | 1,048 | 984.8 | 1,112 | 2 |
| 2060s | 1,281 | 1,231 | 1,330 | 2 |
| 2070s | 1,421 | 1,400 | 1,443 | 2 |
| 2080s | 1,487 | 1,474 | 1,499 | 2 |
| 2090s | 1,494 | 1,482 | 1,505 | 2 |
| 2100s | 1,438 | 1,438 | 1,438 | 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 1,438 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 1,505 in 2090.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Rwanda?
- The lowest recorded value was 173.03 in 2010.
- How does Rwanda rank for wittgenstein projection: population in thousands by highest level of e?
- Rwanda ranks 40th 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 down 4.5%. 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: Population in thousands by highest level of educational attainment. Lower Secondary. Male. Statizoid updates them automatically from the source API.
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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 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/