Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in Indonesia
Indonesia: 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 Indonesia, 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 Indonesia 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 Indonesia peaked at 0.96 in 2010 and was at its lowest, 0.06, in 2080.
Indonesia 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 Indonesia, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.96 | — |
| 2015 | 0.81 | -15.6% |
| 2020 | 0.68 | -16.0% |
| 2025 | 0.56 | -17.6% |
| 2030 | 0.46 | -17.9% |
| 2035 | 0.37 | -19.6% |
| 2040 | 0.3 | -18.9% |
| 2045 | 0.24 | -20.0% |
| 2050 | 0.19 | -20.8% |
| 2055 | 0.15 | -21.1% |
| 2060 | 0.12 | -20.0% |
| 2065 | 0.1 | -16.7% |
| 2070 | 0.08 | -20.0% |
| 2075 | 0.07 | -12.5% |
| 2080 | 0.06 | -14.3% |
| 2085 | 0.06 | +0.0% |
| 2090 | 0.06 | +0.0% |
| 2095 | 0.07 | +16.7% |
| 2100 | 0.07 | +0.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.885 | 0.81 | 0.96 | 2 |
| 2020s | 0.62 | 0.56 | 0.68 | 2 |
| 2030s | 0.415 | 0.37 | 0.46 | 2 |
| 2040s | 0.27 | 0.24 | 0.3 | 2 |
| 2050s | 0.17 | 0.15 | 0.19 | 2 |
| 2060s | 0.11 | 0.1 | 0.12 | 2 |
| 2070s | 0.075 | 0.07 | 0.08 | 2 |
| 2080s | 0.06 | 0.06 | 0.06 | 2 |
| 2090s | 0.065 | 0.06 | 0.07 | 2 |
| 2100s | 0.07 | 0.07 | 0.07 | 1 |
Countries ranked near Indonesia
More reference data data for Indonesia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 6.97 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 9.13 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 38.75 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 3.58 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 38.75 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 23.37 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 19.87 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 46.48 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 187.88 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 19.49 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 25+. gender gap in Indonesia?
- Wittgenstein projection: mean years of schooling. age 25+. gender gap in Indonesia 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 Indonesia?
- The highest recorded value was 0.96 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 25+. gender gap recorded in Indonesia?
- The lowest recorded value was 0.06 in 2080.
- How does Indonesia rank for wittgenstein projection: mean years of schooling. age 25+. gender gap?
- Indonesia 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 Indonesia?
- Over the last ten years it is up 16.7%. The long-run trend across the full record is volatile.
- Where does this Indonesia 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/