Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Bosnia and Herzegovina
Bosnia and Herzegovina: Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap was -0.04 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Bosnia and Herzegovina, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Bosnia and Herzegovina recorded -0.04 for wittgenstein projection: mean years of schooling. age 15+. gender gap in 2100.
The figure is up 33.3% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 15+. gender gap in Bosnia and Herzegovina peaked at 1.86 in 2010 and was at its lowest, -0.06, in 2085.
That places Bosnia and Herzegovina 127th out of 166 countries with data for 2100, putting it in the bottom quarter.
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 Bosnia and Herzegovina, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 1.86 | — |
| 2015 | 1.64 | -11.8% |
| 2020 | 1.42 | -13.4% |
| 2025 | 1.19 | -16.2% |
| 2030 | 0.96 | -19.3% |
| 2035 | 0.76 | -20.8% |
| 2040 | 0.58 | -23.7% |
| 2045 | 0.43 | -25.9% |
| 2050 | 0.31 | -27.9% |
| 2055 | 0.21 | -32.3% |
| 2060 | 0.14 | -33.3% |
| 2065 | 0.07 | -50.0% |
| 2070 | 0.02 | -71.4% |
| 2075 | -0.02 | -200.0% |
| 2080 | -0.05 | +150.0% |
| 2085 | -0.06 | +20.0% |
| 2090 | -0.06 | -0.0% |
| 2095 | -0.05 | -16.7% |
| 2100 | -0.04 | -20.0% |
Bosnia and Herzegovina compared with similar countries
- Bosnia and Herzegovina's -0.04 is below the median for upper middle income countries, which is 0.01. (49 countries reporting)
- Bosnia and Herzegovina's -0.04 is above the median for Europe & Central Asia, which is -0.04, 1.0× the median. (47 countries reporting)
Biggest year-on-year movements
Years where Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Bosnia and Herzegovina changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2075 | -200.0% | 0.02 | -0.02 |
| 2080 | -150.0% | -0.02 | -0.05 |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1.75 | 1.64 | 1.86 | 2 |
| 2020s | 1.3 | 1.19 | 1.42 | 2 |
| 2030s | 0.86 | 0.76 | 0.96 | 2 |
| 2040s | 0.505 | 0.43 | 0.58 | 2 |
| 2050s | 0.26 | 0.21 | 0.31 | 2 |
| 2060s | 0.105 | 0.07 | 0.14 | 2 |
| 2070s | 0 | -0.02 | 0.02 | 2 |
| 2080s | -0.055 | -0.06 | -0.05 | 2 |
| 2090s | -0.055 | -0.06 | -0.05 | 2 |
| 2100s | -0.04 | -0.04 | -0.04 | 1 |
Countries ranked near Bosnia and Herzegovina
- 127 Australia -0.04 compare
- 127 Austria -0.04 compare
- 127 Cyprus -0.04 compare
- 127 Georgia -0.04 compare
- 127 Jamaica -0.04 compare
- 127 Japan -0.04 compare
- 127 Latvia -0.04 compare
- 127 Netherlands -0.04 compare
- 127 Romania -0.04 compare
- 127 Sweden -0.04 compare
- 127 United States of America -0.04 compare
More reference data data for Bosnia and Herzegovina
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.2599 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1825 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.6521 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0577 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.6521 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.8716 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.5521 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.7607 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 3.13 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.3142 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 15+. gender gap in Bosnia and Herzegovina?
- Wittgenstein projection: mean years of schooling. age 15+. gender gap in Bosnia and Herzegovina was -0.04 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 Bosnia and Herzegovina?
- The highest recorded value was 1.86 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 15+. gender gap recorded in Bosnia and Herzegovina?
- The lowest recorded value was -0.06 in 2085.
- How does Bosnia and Herzegovina rank for wittgenstein projection: mean years of schooling. age 15+. gender gap?
- Bosnia and Herzegovina ranks 127th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 15+. gender gap rising or falling in Bosnia and Herzegovina?
- Over the last ten years it is up 33.3%. The long-run trend across the full record is volatile.
- Where does this Bosnia and Herzegovina 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.
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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/