Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Zimbabwe
Zimbabwe: Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap was 0.02 in 2100. ◆ Volatile
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap in Zimbabwe, 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 15+. gender gap in Zimbabwe stood at 0.02. That is the lowest value across all 19 years on record.
That represents a change of down 50.0% over ten years.
Over the whole period, wittgenstein projection: mean years of schooling. age 15+. gender gap in Zimbabwe peaked at 1.14 in 2010 and was at its lowest, 0.02, in 2100.
That places Zimbabwe 79th 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 15+. Gender Gap in Zimbabwe, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 1.14 | — |
| 2015 | 1 | -12.3% |
| 2020 | 0.87 | -13.0% |
| 2025 | 0.73 | -16.1% |
| 2030 | 0.61 | -16.4% |
| 2035 | 0.49 | -19.7% |
| 2040 | 0.39 | -20.4% |
| 2045 | 0.31 | -20.5% |
| 2050 | 0.25 | -19.4% |
| 2055 | 0.2 | -20.0% |
| 2060 | 0.17 | -15.0% |
| 2065 | 0.14 | -17.6% |
| 2070 | 0.11 | -21.4% |
| 2075 | 0.09 | -18.2% |
| 2080 | 0.07 | -22.2% |
| 2085 | 0.05 | -28.6% |
| 2090 | 0.04 | -20.0% |
| 2095 | 0.03 | -25.0% |
| 2100 | 0.02 | -33.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 1.07 | 1 | 1.14 | 2 |
| 2020s | 0.8 | 0.73 | 0.87 | 2 |
| 2030s | 0.55 | 0.49 | 0.61 | 2 |
| 2040s | 0.35 | 0.31 | 0.39 | 2 |
| 2050s | 0.225 | 0.2 | 0.25 | 2 |
| 2060s | 0.155 | 0.14 | 0.17 | 2 |
| 2070s | 0.1 | 0.09 | 0.11 | 2 |
| 2080s | 0.06 | 0.05 | 0.07 | 2 |
| 2090s | 0.035 | 0.03 | 0.04 | 2 |
| 2100s | 0.02 | 0.02 | 0.02 | 1 |
Countries ranked near Zimbabwe
- 79 Eswatini 0.02 compare
- 79 Hong Kong, China 0.02 compare
- 79 Nigeria 0.02 compare
- 79 Peru 0.02 compare
- 79 Turkmenistan 0.02 compare
More reference data data for Zimbabwe
- Spring temperature anomalies -0.1903 (2026)
- Summer temperature anomalies 0.8086 (2026)
- Country level monthly temperature anomalies -0.5886 (2026)
- Exchange rate, new LCU per USD extended backward, period average 60,892 (2025)
- Exchange rate, old LCU per USD extended forward, period average 60,892 (2025)
- Official exchange rate, LCU per USD, period average 60,892 (2025)
- Universal right to vote in practice 2 (2025)
- Autumn temperature anomalies 1.68 (2025)
- Winter temperature anomalies -0.7408 (2025)
- Consumer price index 11,077 (2022)
Frequently asked questions
- What is wittgenstein projection: mean years of schooling. age 15+. gender gap in Zimbabwe?
- Wittgenstein projection: mean years of schooling. age 15+. gender gap in Zimbabwe was 0.02 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 Zimbabwe?
- The highest recorded value was 1.14 in 2010.
- What is the lowest wittgenstein projection: mean years of schooling. age 15+. gender gap recorded in Zimbabwe?
- The lowest recorded value was 0.02 in 2100.
- How does Zimbabwe rank for wittgenstein projection: mean years of schooling. age 15+. gender gap?
- Zimbabwe ranks 79th out of 166 countries with data for 2100.
- Is wittgenstein projection: mean years of schooling. age 15+. gender gap rising or falling in Zimbabwe?
- Over the last ten years it is down 50.0%. The long-run trend across the full record is volatile.
- Where does this Zimbabwe 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/