Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Chile
Chile: Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap was 0.03 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Chile, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: mean years of schooling. age 15+. gender gap in Chile is 0.03, measured in 2100.
Compared with earlier readings it is up 200.0% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 15+. gender gap in Chile peaked at 0.16 in 2010 and was at its lowest, -0.03, in 2050.
Chile ranks 73rd of 166 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Chile, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.16 | — |
| 2015 | 0.13 | -18.8% |
| 2020 | 0.09 | -30.8% |
| 2025 | 0.06 | -33.3% |
| 2030 | 0.03 | -50.0% |
| 2035 | 0.01 | -66.7% |
| 2040 | -0.01 | -200.0% |
| 2045 | -0.02 | +100.0% |
| 2050 | -0.03 | +50.0% |
| 2055 | -0.03 | -0.0% |
| 2060 | -0.02 | -33.3% |
| 2065 | -0.03 | +50.0% |
| 2070 | -0.03 | -0.0% |
| 2075 | -0.02 | -33.3% |
| 2080 | -0.01 | -50.0% |
| 2085 | 0 | -100.0% |
| 2090 | 0.01 | — |
| 2095 | 0.02 | +100.0% |
| 2100 | 0.03 | +50.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.145 | 0.13 | 0.16 | 2 |
| 2020s | 0.075 | 0.06 | 0.09 | 2 |
| 2030s | 0.02 | 0.01 | 0.03 | 2 |
| 2040s | -0.015 | -0.02 | -0.01 | 2 |
| 2050s | -0.03 | -0.03 | -0.03 | 2 |
| 2060s | -0.025 | -0.03 | -0.02 | 2 |
| 2070s | -0.025 | -0.03 | -0.02 | 2 |
| 2080s | -0.005 | -0.01 | 0 | 2 |
| 2090s | 0.015 | 0.01 | 0.02 | 2 |
| 2100s | 0.03 | 0.03 | 0.03 | 1 |
Countries ranked near Chile
- 73 Colombia 0.03 compare
- 73 Suriname 0.03 compare
- 73 Timor-Leste 0.03 compare
- 73 Trinidad and Tobago 0.03 compare
- 73 United Kingdom of Great Britain and Northern Ireland 0.03 compare
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: mean years of schooling. age 15+. gender gap in Chile?
- Wittgenstein projection: mean years of schooling. age 15+. gender gap in Chile was 0.03 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: mean years of schooling. age 15+. gender gap recorded in Chile?
- The highest recorded value was 0.16 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 15+. gender gap recorded in Chile?
- The lowest recorded value was -0.03 in 2050.
- How does Chile rank for wittgenstein projection: mean years of schooling. age 15+. gender gap?
- Chile ranks 73rd out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 15+. gender gap rising or falling in Chile?
- Over the last ten years it is up 200.0%. The long-run trend across the full record is volatile.
- 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: Mean Years of Schooling. Age 15+. Gender Gap. Statizoid updates them automatically from the source API.
Download this data
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About this data
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. 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/