Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in China
China: Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap was 0.07 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in China, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
In 2100, wittgenstein projection: mean years of schooling. age 25+. gender gap in China stood at 0.07.
Compared with earlier readings it is up 16.7% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 25+. gender gap in China peaked at 1.18 in 2010 and was at its lowest, 0.06, in 2090.
China ranks 59th 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 25+. Gender Gap in China, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 1.18 | — |
| 2015 | 1 | -15.3% |
| 2020 | 0.87 | -13.0% |
| 2025 | 0.76 | -12.6% |
| 2030 | 0.66 | -13.2% |
| 2035 | 0.56 | -15.2% |
| 2040 | 0.48 | -14.3% |
| 2045 | 0.4 | -16.7% |
| 2050 | 0.32 | -20.0% |
| 2055 | 0.26 | -18.8% |
| 2060 | 0.21 | -19.2% |
| 2065 | 0.16 | -23.8% |
| 2070 | 0.12 | -25.0% |
| 2075 | 0.09 | -25.0% |
| 2080 | 0.08 | -11.1% |
| 2085 | 0.07 | -12.5% |
| 2090 | 0.06 | -14.3% |
| 2095 | 0.06 | +0.0% |
| 2100 | 0.07 | +16.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1.09 | 1 | 1.18 | 2 |
| 2020s | 0.815 | 0.76 | 0.87 | 2 |
| 2030s | 0.61 | 0.56 | 0.66 | 2 |
| 2040s | 0.44 | 0.4 | 0.48 | 2 |
| 2050s | 0.29 | 0.26 | 0.32 | 2 |
| 2060s | 0.185 | 0.16 | 0.21 | 2 |
| 2070s | 0.105 | 0.09 | 0.12 | 2 |
| 2080s | 0.075 | 0.07 | 0.08 | 2 |
| 2090s | 0.06 | 0.06 | 0.06 | 2 |
| 2100s | 0.07 | 0.07 | 0.07 | 1 |
Countries ranked near China
More reference data data for China
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 49.4 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 75.5 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 303.29 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 18.8 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 303.29 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 165.62 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 206.2 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 350.74 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 1,480 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 102.37 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 25+. gender gap in China?
- Wittgenstein projection: mean years of schooling. age 25+. gender gap in China was 0.07 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 25+. gender gap recorded in China?
- The highest recorded value was 1.18 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 25+. gender gap recorded in China?
- The lowest recorded value was 0.06 in 2090.
- How does China rank for wittgenstein projection: mean years of schooling. age 25+. gender gap?
- China ranks 59th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 25+. gender gap rising or falling in China?
- Over the last ten years it is up 16.7%. The long-run trend across the full record is volatile.
- Where does this China 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 25+. 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/