Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in France
France: Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap was 0.01 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap in France, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
France recorded 0.01 for wittgenstein projection: mean years of schooling. age 25+. gender gap in 2100.
Over the whole period, wittgenstein projection: mean years of schooling. age 25+. gender gap in France peaked at 0.46 in 2010 and was at its lowest, -0.01, in 2075.
That places France 98th out of 166 countries with data for 2100, putting it 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 France, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.46 | — |
| 2015 | 0.41 | -10.9% |
| 2020 | 0.35 | -14.6% |
| 2025 | 0.28 | -20.0% |
| 2030 | 0.22 | -21.4% |
| 2035 | 0.17 | -22.7% |
| 2040 | 0.13 | -23.5% |
| 2045 | 0.09 | -30.8% |
| 2050 | 0.06 | -33.3% |
| 2055 | 0.03 | -50.0% |
| 2060 | 0.02 | -33.3% |
| 2065 | 0.01 | -50.0% |
| 2070 | 0 | -100.0% |
| 2075 | -0.01 | — |
| 2080 | -0.01 | -0.0% |
| 2085 | -0.01 | -0.0% |
| 2090 | 0 | -100.0% |
| 2095 | 0 | — |
| 2100 | 0.01 | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.435 | 0.41 | 0.46 | 2 |
| 2020s | 0.315 | 0.28 | 0.35 | 2 |
| 2030s | 0.195 | 0.17 | 0.22 | 2 |
| 2040s | 0.11 | 0.09 | 0.13 | 2 |
| 2050s | 0.045 | 0.03 | 0.06 | 2 |
| 2060s | 0.015 | 0.01 | 0.02 | 2 |
| 2070s | -0.005 | -0.01 | 0 | 2 |
| 2080s | -0.01 | -0.01 | -0.01 | 2 |
| 2090s | 0 | 0 | 0 | 2 |
| 2100s | 0.01 | 0.01 | 0.01 | 1 |
Countries ranked near France
- 98 Bahamas 0.01 compare
- 98 Ecuador 0.01 compare
- 98 Guyana 0.01 compare
- 98 Kazakhstan 0.01 compare
- 98 Republic of Korea 0.01 compare
- 98 Malaysia 0.01 compare
- 98 Mongolia 0.01 compare
- 98 New Caledonia 0.01 compare
- 98 North Macedonia 0.01 compare
- 98 Panama 0.01 compare
- 98 Russian Federation 0.01 compare
- 98 Ukraine 0.01 compare
More reference data data for France
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 5.48 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 2.93 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 22.63 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 2.81 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 22.63 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 18.36 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 11.75 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 14.49 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 106.68 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 15.3 (2050)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 25+. gender gap in France?
- Wittgenstein projection: mean years of schooling. age 25+. gender gap in France was 0.01 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 France?
- The highest recorded value was 0.46 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 25+. gender gap recorded in France?
- The lowest recorded value was -0.01 in 2075.
- How does France rank for wittgenstein projection: mean years of schooling. age 25+. gender gap?
- France ranks 98th out of 166 countries with data for 2100.
- Where does this France 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.
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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/