Wittgenstein Projection: Population in thousands by highest level of e in Singapore
Singapore: Wittgenstein Projection: Population in thousands by highest level of e was 2,942 in 2100. β² Rising
Wittgenstein Projection: Population in thousands by highest level of e in Singapore, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Singapore recorded 2,942 for wittgenstein projection: population in thousands by highest level of e in 2100.
That represents a change of down 3.3% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Singapore peaked at 3,063 in 2085 and was at its lowest, 874.11, in 2010.
Singapore ranks 61st of 166 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1,003 | 874.11 | 1,131 | 2 |
| 2020s | 1,472 | 1,369 | 1,575 | 2 |
| 2030s | 1,856 | 1,763 | 1,949 | 2 |
| 2040s | 2,234 | 2,139 | 2,330 | 2 |
| 2050s | 2,599 | 2,516 | 2,681 | 2 |
| 2060s | 2,868 | 2,819 | 2,918 | 2 |
| 2070s | 3,009 | 2,986 | 3,032 | 2 |
| 2080s | 3,061 | 3,059 | 3,063 | 2 |
| 2090s | 3,022 | 3,000 | 3,043 | 2 |
| 2100s | 2,942 | 2,942 | 2,942 | 1 |
Countries ranked near Singapore
More reference data data for Singapore
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.008 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0066 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.0618 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.0618 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0269 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0096 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0378 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.2664 (2050)
- Emission Totals - Emissions (N2O) - Burning - Crop residues 0 (1992)
- Emission Totals - Emissions (N2O) - Agricultural Soils 0.2567 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Singapore?
- Wittgenstein projection: population in thousands by highest level of e in Singapore was 2,942 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 Singapore?
- The highest recorded value was 3,063 in 2085.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Singapore?
- The lowest recorded value was 874.11 in 2010.
- How does Singapore rank for wittgenstein projection: population in thousands by highest level of e?
- Singapore ranks 61st out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Singapore?
- Over the last ten years it is down 3.3%. The long-run trend across the full record is rising.
- Where does this Singapore 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 Β· JSON β 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/