Wittgenstein Projection: Population in thousands by highest level of e in Malaysia
Malaysia: Wittgenstein Projection: Population in thousands by highest level of e was 13,811 in 2100. ▲ Rising
Wittgenstein Projection: Population in thousands by highest level of e in Malaysia, 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 Malaysia stood at 13,811.
Compared with earlier readings it is down 9.8% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Malaysia peaked at 17,509 in 2065 and was at its lowest, 7,558, in 2010.
Malaysia ranks 42nd of 166 countries on this measure, 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 | 8,512 | 7,558 | 9,467 | 2 |
| 2020s | 11,628 | 10,970 | 12,286 | 2 |
| 2030s | 14,101 | 13,536 | 14,667 | 2 |
| 2040s | 16,032 | 15,637 | 16,427 | 2 |
| 2050s | 17,172 | 17,004 | 17,340 | 2 |
| 2060s | 17,508 | 17,508 | 17,509 | 2 |
| 2070s | 17,179 | 17,016 | 17,342 | 2 |
| 2080s | 16,265 | 15,980 | 16,549 | 2 |
| 2090s | 14,947 | 14,579 | 15,316 | 2 |
| 2100s | 13,811 | 13,811 | 13,811 | 1 |
Countries ranked near Malaysia
More reference data data for Malaysia
- Emission Totals - Emissions (CH4) - Burning - Crop residues 1.25 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Manure left on Pa 870.95 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Crop Residues 214.59 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Agricultural Soil 5,147 (2050)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - Burning - Crop re 8.59 (2050)
- Emission Totals - Emissions (CH4) - Manure Management 36.51 (2050)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 221.56 (2050)
- Emission Totals - Emissions (CH4) - Enteric Fermentation 57.27 (2050)
- Emission Totals - Emissions (CO2eq) (AR5) - Manure left on Pasture 870.95 (2050)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - Burning - Crop re 35.02 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Malaysia?
- Wittgenstein projection: population in thousands by highest level of e in Malaysia was 13,811 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 Malaysia?
- The highest recorded value was 17,509 in 2065.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Malaysia?
- The lowest recorded value was 7,558 in 2010.
- How does Malaysia rank for wittgenstein projection: population in thousands by highest level of e?
- Malaysia ranks 42nd out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Malaysia?
- Over the last ten years it is down 9.8%. The long-run trend across the full record is rising.
- Where does this Malaysia 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. Upper Secondary. Total. Statizoid updates them automatically from the source API.
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About this data
Total population in thousands that has completed upper secondary or incomplete post-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/