Wittgenstein Projection: Population in thousands by highest level of e in Brazil
Brazil: Wittgenstein Projection: Population in thousands by highest level of e was 28,697 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Brazil, 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 Brazil stood at 28,697. That is the highest value across all 19 years on record.
The figure is up 4.3% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Brazil peaked at 28,697 in 2100 and was at its lowest, 7,897, in 2010.
Brazil ranks 9th of 166 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 8,578 | 7,897 | 9,258 | 2 |
| 2020s | 11,555 | 10,752 | 12,358 | 2 |
| 2030s | 14,708 | 13,956 | 15,459 | 2 |
| 2040s | 17,664 | 16,936 | 18,392 | 2 |
| 2050s | 20,390 | 19,765 | 21,015 | 2 |
| 2060s | 22,683 | 22,127 | 23,239 | 2 |
| 2070s | 24,755 | 24,283 | 25,226 | 2 |
| 2080s | 26,449 | 26,067 | 26,830 | 2 |
| 2090s | 27,833 | 27,524 | 28,143 | 2 |
| 2100s | 28,697 | 28,697 | 28,697 | 1 |
Countries ranked near Brazil
More reference data data for Brazil
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 13.82 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 72.83 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 139.27 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 9.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 139.27 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 46.34 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 18.99 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 405.35 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 699.19 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 49.04 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Brazil?
- Wittgenstein projection: population in thousands by highest level of e in Brazil was 28,697 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 Brazil?
- The highest recorded value was 28,697 in 2100.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Brazil?
- The lowest recorded value was 7,897 in 2010.
- How does Brazil rank for wittgenstein projection: population in thousands by highest level of e?
- Brazil ranks 9th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Brazil?
- Over the last ten years it is up 4.3%. The long-run trend across the full record is rising.
- Where does this Brazil 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. Female. 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/