Wittgenstein Projection: Population in thousands by highest level of e in Thailand
Thailand: Wittgenstein Projection: Population in thousands by highest level of e was 2,083 in 2100. βΌ Falling
Wittgenstein Projection: Population in thousands by highest level of e in Thailand, 2010β2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Thailand recorded 2,083 for wittgenstein projection: population in thousands by highest level of e in 2100. That is the lowest value across all 19 years on record.
The figure is down 31.5% over ten years.
Over the whole period, wittgenstein projection: population in thousands by highest level of e in Thailand peaked at 10,905 in 2035 and was at its lowest, 2,083, in 2100.
Thailand ranks 50th of 166 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 9,321 | 8,746 | 9,895 | 2 |
| 2020s | 10,609 | 10,467 | 10,750 | 2 |
| 2030s | 10,886 | 10,866 | 10,905 | 2 |
| 2040s | 10,542 | 10,368 | 10,716 | 2 |
| 2050s | 9,457 | 9,094 | 9,819 | 2 |
| 2060s | 7,739 | 7,252 | 8,225 | 2 |
| 2070s | 5,774 | 5,297 | 6,250 | 2 |
| 2080s | 4,056 | 3,680 | 4,432 | 2 |
| 2090s | 2,776 | 2,512 | 3,041 | 2 |
| 2100s | 2,083 | 2,083 | 2,083 | 1 |
Countries ranked near Thailand
More reference data data for Thailand
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 1.67 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.89 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 13.08 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 1.45 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 13.08 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 5.58 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 7.72 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 10.67 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 65.23 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 7.92 (2050)
Frequently asked questions
- What is wittgenstein projection: population in thousands by highest level of e in Thailand?
- Wittgenstein projection: population in thousands by highest level of e in Thailand was 2,083 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 Thailand?
- The highest recorded value was 10,905 in 2035.
- What is the lowest wittgenstein projection: population in thousands by highest level of e recorded in Thailand?
- The lowest recorded value was 2,083 in 2100.
- How does Thailand rank for wittgenstein projection: population in thousands by highest level of e?
- Thailand ranks 50th out of 166 countries with data for 2100.
- Is wittgenstein projection: population in thousands by highest level of e rising or falling in Thailand?
- Over the last ten years it is down 31.5%. The long-run trend across the full record is falling.
- Where does this Thailand 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. Total. 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/