Wittgenstein Projection: Population age 15-19 in thousands by highest in Malaysia
Malaysia: Wittgenstein Projection: Population age 15-19 in thousands by highest was 22.1 in 2100. ▼ Falling
Wittgenstein Projection: Population age 15-19 in thousands by highest 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 age 15-19 in thousands by highest in Malaysia stood at 22.1.
Compared with earlier readings it is down 8.3% over ten years.
Over the whole period, wittgenstein projection: population age 15-19 in thousands by highest in Malaysia peaked at 40.44 in 2015 and was at its lowest, 9.43, in 2010.
Malaysia ranks 8th of 166 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 24.93 | 9.43 | 40.44 | 2 |
| 2020s | 36.19 | 34.22 | 38.15 | 2 |
| 2030s | 31.65 | 31.04 | 32.26 | 2 |
| 2040s | 29.88 | 29.62 | 30.13 | 2 |
| 2050s | 28.83 | 28.48 | 29.17 | 2 |
| 2060s | 28.15 | 27.79 | 28.51 | 2 |
| 2070s | 26.68 | 26.28 | 27.08 | 2 |
| 2080s | 25.17 | 24.87 | 25.47 | 2 |
| 2090s | 23.59 | 23.09 | 24.09 | 2 |
| 2100s | 22.1 | 22.1 | 22.1 | 1 |
Countries ranked near Malaysia
More reference data data for Malaysia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.7102 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.5869 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 4.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.1487 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 4.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 2.38 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.64 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 3.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 21.1 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.8098 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 15-19 in thousands by highest in Malaysia?
- Wittgenstein projection: population age 15-19 in thousands by highest in Malaysia was 22.1 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 age 15-19 in thousands by highest recorded in Malaysia?
- The highest recorded value was 40.44 in 2015.
- What is the lowest wittgenstein projection: population age 15-19 in thousands by highest recorded in Malaysia?
- The lowest recorded value was 9.43 in 2010.
- How does Malaysia rank for wittgenstein projection: population age 15-19 in thousands by highest?
- Malaysia ranks 8th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 15-19 in thousands by highest rising or falling in Malaysia?
- Over the last ten years it is down 8.3%. The long-run trend across the full record is falling.
- 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 age 15-19 in thousands by highest level of educational attainment. No Education. 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 in the specified age group that has never attended school. 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/