Wittgenstein Projection: Population in thousands by highest level of e in Singapore
Singapore: Wittgenstein Projection: Population in thousands by highest level of e was 55.17 in 2100. β Volatile
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
In 2100, wittgenstein projection: population in thousands by highest level of e in Singapore stood at 55.17. That is the lowest value across all 19 years on record.
That represents a change of down 11.3% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Singapore peaked at 269.93 in 2010 and was at its lowest, 55.17, in 2100.
That places Singapore 128th out of 166 countries with data for 2100, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 268.94 | 267.95 | 269.93 | 2 |
| 2020s | 232.78 | 223.16 | 242.4 | 2 |
| 2030s | 200.68 | 193.55 | 207.81 | 2 |
| 2040s | 169.12 | 160.25 | 177.99 | 2 |
| 2050s | 126.63 | 115.41 | 137.85 | 2 |
| 2060s | 93.93 | 88.77 | 99.09 | 2 |
| 2070s | 81.36 | 79.52 | 83.2 | 2 |
| 2080s | 71.76 | 68.58 | 74.94 | 2 |
| 2090s | 59.89 | 57.61 | 62.17 | 2 |
| 2100s | 55.17 | 55.17 | 55.17 | 1 |
Countries ranked near Singapore
- 125 Hong Kong Special Administrative Region, People's Republic of China 75.26 compare
- 126 Bahamas, The 61.49 compare
- 127 Mauritius 59.83 compare
- 129 Trinidad and Tobago 53.53 compare
- 130 Bulgaria 53.18 compare
- 131 Cabo Verde 52.83 compare
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 55.17 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 269.93 in 2010.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Singapore?
- The lowest recorded value was 55.17 in 2100.
- How does Singapore rank for wittgenstein projection: population in thousands by highest level of e?
- Singapore ranks 128th 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 11.3%. The long-run trend across the full record is volatile.
- 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. Lower Secondary. Male. 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 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/