Wittgenstein Projection: Percentage of the population age 25-29 by in Zimbabwe
Zimbabwe: Wittgenstein Projection: Percentage of the population age 25-29 by was 0.0% in 2100. ◆ Volatile
Wittgenstein Projection: Percentage of the population age 25-29 by in Zimbabwe, 2010–2100
Source: Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/.
Analysis
Zimbabwe recorded 0.0% for wittgenstein projection: percentage of the population age 25-29 by in 2100. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: percentage of the population age 25-29 by in Zimbabwe peaked at 0.2% in 2010 and was at its lowest, 0.0%, in 2060.
That places Zimbabwe 78th 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: Percentage of the population age 25-29 by in Zimbabwe, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.2% | — |
| 2015 | 0.1% | -21.1% |
| 2020 | 0.1% | -26.7% |
| 2025 | 0.1% | -27.3% |
| 2030 | 0.1% | -25.0% |
| 2035 | 0.0% | -33.3% |
| 2040 | 0.0% | -25.0% |
| 2045 | 0.0% | -33.3% |
| 2050 | 0.0% | -50.0% |
| 2055 | 0.0% | +0.0% |
| 2060 | 0.0% | -100.0% |
| 2065 | 0.0% | — |
| 2070 | 0.0% | — |
| 2075 | 0.0% | — |
| 2080 | 0.0% | — |
| 2085 | 0.0% | — |
| 2090 | 0.0% | — |
| 2095 | 0.0% | — |
| 2100 | 0.0% | — |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2% | 0.1% | 0.2% | 2 |
| 2020s | 0.1% | 0.1% | 0.1% | 2 |
| 2030s | 0.1% | 0.0% | 0.1% | 2 |
| 2040s | 0.0% | 0.0% | 0.0% | 2 |
| 2050s | 0.0% | 0.0% | 0.0% | 2 |
| 2060s | 0.0% | 0.0% | 0.0% | 2 |
| 2070s | 0.0% | 0.0% | 0.0% | 2 |
| 2080s | 0.0% | 0.0% | 0.0% | 2 |
| 2090s | 0.0% | 0.0% | 0.0% | 2 |
| 2100s | 0.0% | 0.0% | 0.0% | 1 |
Countries ranked near Zimbabwe
- 78 Albania 0.0%
- 78 Algeria 0.0% compare
- 78 Armenia 0.0% compare
- 78 Australia 0.0% compare
- 78 Austria 0.0% compare
- 78 Azerbaijan 0.0% compare
- 78 Belarus 0.0%
- 78 Belgium 0.0% compare
- 78 Bolivia, Plurinational State of 0.0% compare
- 78 Bosnia and Herzegovina 0.0% compare
- 78 Bulgaria 0.0% compare
- 78 Canada 0.0% compare
- 78 Chile 0.0% compare
- 78 China 0.0% compare
- 78 Colombia 0.0% compare
- 78 Croatia 0.0%
- 78 Cuba 0.0% compare
- 78 Cyprus 0.0% compare
- 78 Czechia 0.0%
- 78 Denmark 0.0%
- 78 Dominican Republic 0.0% compare
- 78 Ecuador 0.0% compare
- 78 Egypt 0.0% compare
- 78 Estonia 0.0%
- 78 Eswatini 0.0% compare
- 78 Finland 0.0% compare
- 78 France 0.0% compare
- 78 French Polynesia 0.0% compare
- 78 Georgia 0.0% compare
- 78 Germany 0.0% compare
- 78 Greece 0.0% compare
- 78 Haiti 0.0% compare
- 78 Hong Kong 0.0% compare
- 78 Hungary 0.0% compare
- 78 Indonesia 0.0% compare
- 78 Iran 0.0% compare
- 78 Iraq 0.0% compare
- 78 Ireland 0.0% compare
- 78 Italy 0.0% compare
- 78 Japan 0.0% compare
- 78 Jordan 0.0% compare
- 78 Kazakhstan 0.0%
- 78 Kenya 0.0% compare
- 78 Republic of Korea 0.0%
- 78 Kyrgyzstan 0.0%
- 78 Latvia 0.0%
- 78 Lebanon 0.0% compare
- 78 Lithuania 0.0%
- 78 Luxembourg 0.0% compare
- 78 Macao 0.0% compare
- 78 Malaysia 0.0% compare
- 78 Malta 0.0% compare
- 78 Republic of Moldova 0.0% compare
- 78 Mongolia 0.0% compare
- 78 Montenegro 0.0% compare
- 78 Namibia 0.0% compare
- 78 Nepal 0.0% compare
- 78 Netherlands 0.0% compare
- 78 New Caledonia 0.0% compare
- 78 New Zealand 0.0% compare
- 78 Nigeria 0.0% compare
- 78 North Macedonia 0.0% compare
- 78 Norway 0.0% compare
- 78 Panama 0.0% compare
- 78 Peru 0.0% compare
- 78 Philippines 0.0% compare
- 78 Poland 0.0%
- 78 Puerto Rico 0.0% compare
- 78 Romania 0.0% compare
- 78 Russian Federation 0.0%
- 78 Saudi Arabia 0.0% compare
- 78 Serbia 0.0% compare
- 78 Singapore 0.0% compare
- 78 Slovakia 0.0%
- 78 Slovenia 0.0%
- 78 South Africa 0.0% compare
- 78 Spain 0.0% compare
- 78 Sweden 0.0% compare
- 78 Switzerland 0.0% compare
- 78 Tajikistan 0.0% compare
- 78 Timor-Leste 0.0% compare
- 78 Tunisia 0.0% compare
- 78 Türkiye 0.0% compare
- 78 Turkmenistan 0.0%
- 78 Ukraine 0.0%
- 78 United Kingdom of Great Britain and Northern Ireland 0.0% compare
- 78 United States 0.0% compare
- 78 Palestine, State of 0.0% compare
More reference data data for Zimbabwe
- Spring temperature anomalies -0.1903 °C (2026)
- Summer temperature anomalies 0.8086 °C (2026)
- Temperature anomalies by month -0.5886 °C (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 °C (2025)
- Winter temperature anomalies -0.7408 °C (2025)
- Consumer price index 11,077 2010 = 100 (2022)
Frequently asked questions
- What is wittgenstein projection: percentage of the population age 25-29 by in Zimbabwe?
- Wittgenstein projection: percentage of the population age 25-29 by in Zimbabwe was 0.0% 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: percentage of the population age 25-29 by recorded in Zimbabwe?
- The highest recorded value was 0.2% in 2010.
- What is the lowest wittgenstein projection: percentage of the population age 25-29 by recorded in Zimbabwe?
- The lowest recorded value was 0.0% in 2060.
- How does Zimbabwe rank for wittgenstein projection: percentage of the population age 25-29 by?
- Zimbabwe ranks 78th out of 166 countries with data for 2100.
- 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: Percentage of the population age 25-29 by highest level of educational attainment. Primary. Female. Statizoid updates them automatically from the source API.
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About this data
Share of the population of the stated age group that has completed primary education or incomplete lower 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/