Wittgenstein Projection: Population age 25-29 in thousands by highest in Zimbabwe
Zimbabwe: Wittgenstein Projection: Population age 25-29 in thousands by highest was 56.28 in 2100. ▼ Falling
Wittgenstein Projection: Population age 25-29 in thousands by highest in Zimbabwe, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
The most recent figure for wittgenstein projection: population age 25-29 in thousands by highest in Zimbabwe is 56.28, measured in 2100. That is the lowest value across all 19 years on record.
That represents a change of down 13.9% over ten years.
Over the whole period, wittgenstein projection: population age 25-29 in thousands by highest in Zimbabwe peaked at 190.65 in 2015 and was at its lowest, 56.28, in 2100.
Zimbabwe ranks 54th of 166 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 189.69 | 188.74 | 190.65 | 2 |
| 2020s | 172.55 | 165.18 | 179.92 | 2 |
| 2030s | 154.26 | 153.11 | 155.42 | 2 |
| 2040s | 137.57 | 132.33 | 142.81 | 2 |
| 2050s | 115.48 | 109.96 | 121 | 2 |
| 2060s | 98.5 | 95.24 | 101.75 | 2 |
| 2070s | 85.69 | 82.38 | 89 | 2 |
| 2080s | 72.96 | 70.39 | 75.53 | 2 |
| 2090s | 63.44 | 61.5 | 65.38 | 2 |
| 2100s | 56.28 | 56.28 | 56.28 | 1 |
Countries ranked near Zimbabwe
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: population age 25-29 in thousands by highest in Zimbabwe?
- Wittgenstein projection: population age 25-29 in thousands by highest in Zimbabwe was 56.28 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: population age 25-29 in thousands by highest recorded in Zimbabwe?
- The highest recorded value was 190.65 in 2015.
- What is the lowest wittgenstein projection: population age 25-29 in thousands by highest recorded in Zimbabwe?
- The lowest recorded value was 56.28 in 2100.
- How does Zimbabwe rank for wittgenstein projection: population age 25-29 in thousands by highest?
- Zimbabwe ranks 54th out of 166 countries with data for 2100.
- Is wittgenstein projection: population age 25-29 in thousands by highest rising or falling in Zimbabwe?
- Over the last ten years it is down 13.9%. The long-run trend across the full record is falling.
- 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: Population age 25-29 in thousands by highest level of educational attainment. Lower Secondary. Total. Statizoid updates them automatically from the source API.
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About this data
Total population in thousands in the specified age group that has completed lower secondary or incomplete upper secondary education as the highest level of educational attainment. 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/