Wittgenstein Projection: Population age 15-19 in thousands by highest in Chile
Chile: Wittgenstein Projection: Population age 15-19 in thousands by highest was 85.11 in 2100. βΌ Falling
Wittgenstein Projection: Population age 15-19 in thousands by highest in Chile, 2010β2100
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 Chile stood at 85.11. That is the lowest value across all 19 years on record.
That represents a change of down 16.6% over ten years.
Over the whole period, wittgenstein projection: population age 15-19 in thousands by highest in Chile peaked at 398.75 in 2010 and was at its lowest, 85.11, in 2100.
Chile ranks 88th 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 | 373.44 | 348.14 | 398.75 | 2 |
| 2020s | 307.65 | 300.49 | 314.81 | 2 |
| 2030s | 275.99 | 268.82 | 283.16 | 2 |
| 2040s | 241.64 | 231.47 | 251.81 | 2 |
| 2050s | 202.72 | 193.87 | 211.56 | 2 |
| 2060s | 170.39 | 161.05 | 179.73 | 2 |
| 2070s | 142.2 | 135.91 | 148.5 | 2 |
| 2080s | 117.92 | 112.19 | 123.65 | 2 |
| 2090s | 97.52 | 93.05 | 101.99 | 2 |
| 2100s | 85.11 | 85.11 | 85.11 | 1 |
Countries ranked near Chile
More reference data data for Chile
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.9268 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.22 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 5.33 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.2204 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 5.33 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 3.11 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 1.46 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 11.45 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 25.25 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 1.2 (2050)
Frequently asked questions
- What is wittgenstein projection: population age 15-19 in thousands by highest in Chile?
- Wittgenstein projection: population age 15-19 in thousands by highest in Chile was 85.11 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 Chile?
- The highest recorded value was 398.75 in 2010.
- What is the lowest wittgenstein projection: population age 15-19 in thousands by highest recorded in Chile?
- The lowest recorded value was 85.11 in 2100.
- How does Chile rank for wittgenstein projection: population age 15-19 in thousands by highest?
- Chile ranks 88th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 15-19 in thousands by highest rising or falling in Chile?
- Over the last ten years it is down 16.6%. The long-run trend across the full record is falling.
- Where does this Chile 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. Lower 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 in the specified age group 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/