Wittgenstein Projection: Percentage of the population age 20-39 by in Namibia
Namibia: Wittgenstein Projection: Percentage of the population age 20-39 by was 0.0% in 2100. ◆ Volatile
Latest (2100)
0.0%
World rank
19th
of 166 countries
All-time high
0.1%
in 2010
All-time low
0.0%
in 2045
Years of data
19
2010–2100
Wittgenstein Projection: Percentage of the population age 20-39 by in Namibia, 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: percentage of the population age 20-39 by in Namibia is 0.0%, measured in 2100. That is the lowest value across all 19 years on record.
Over the whole period, wittgenstein projection: percentage of the population age 20-39 by in Namibia peaked at 0.1% in 2010 and was at its lowest, 0.0%, in 2045.
Namibia ranks 19th of 166 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Wittgenstein Projection: Percentage of the population age 20-39 by in Namibia, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.1% | — |
| 2015 | 0.0% | -40.0% |
| 2020 | 0.0% | +0.0% |
| 2025 | 0.0% | -33.3% |
| 2030 | 0.0% | -50.0% |
| 2035 | 0.0% | +0.0% |
| 2040 | 0.0% | +0.0% |
| 2045 | 0.0% | -100.0% |
| 2050 | 0.0% | — |
| 2055 | 0.0% | — |
| 2060 | 0.0% | — |
| 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 | 0.0% | 0.0% | 0.1% | 2 |
| 2020s | 0.0% | 0.0% | 0.0% | 2 |
| 2030s | 0.0% | 0.0% | 0.0% | 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 Namibia
- 19 Albania 0.0% compare
- 19 Algeria 0.0% compare
- 19 Argentina 0.0% compare
- 19 Armenia 0.0%
- 19 Aruba 0.0% compare
- 19 Australia 0.0%
- 19 Austria 0.0%
- 19 Azerbaijan 0.0%
- 19 Bahamas 0.0%
- 19 Bahrain 0.0% compare
- 19 Bangladesh 0.0% compare
- 19 Belarus 0.0%
- 19 Belgium 0.0% compare
- 19 Belize 0.0% compare
- 19 Bhutan 0.0% compare
- 19 Bolivia 0.0% compare
- 19 Bosnia and Herzegovina 0.0% compare
- 19 Brazil 0.0% compare
- 19 Bulgaria 0.0% compare
- 19 Cape Verde 0.0% compare
- 19 Cambodia 0.0% compare
- 19 Cameroon 0.0% compare
- 19 Canada 0.0%
- 19 Central African Republic 0.0% compare
- 19 Chile 0.0% compare
- 19 China 0.0% compare
- 19 Colombia 0.0% compare
- 19 Comoros 0.0% compare
- 19 Democratic Republic of Congo 0.0% compare
- 19 Congo 0.0% compare
- 19 Costa Rica 0.0% compare
- 19 Cote d'Ivoire 0.0% compare
- 19 Croatia 0.0%
- 19 Cuba 0.0%
- 19 Cyprus 0.0%
- 19 Czechia 0.0%
- 19 Denmark 0.0%
- 19 Dominican Republic 0.0% compare
- 19 Ecuador 0.0% compare
- 19 Egypt 0.0% compare
- 19 El Salvador 0.0% compare
- 19 Equatorial Guinea 0.0% compare
- 19 Estonia 0.0%
- 19 Eswatini 0.0% compare
- 19 Ethiopia 0.0% compare
- 19 Finland 0.0%
- 19 France 0.0% compare
- 19 French Polynesia 0.0% compare
- 19 Gabon 0.0% compare
- 19 Georgia 0.0%
- 19 Germany 0.0% compare
- 19 Ghana 0.0% compare
- 19 Greece 0.0%
- 19 Guatemala 0.0% compare
- 19 Guinea-Bissau 0.0% compare
- 19 Guyana 0.0% compare
- 19 Haiti 0.0% compare
- 19 Honduras 0.0% compare
- 19 Hong Kong 0.0% compare
- 19 Hungary 0.0%
- 19 Iceland 0.0%
- 19 India 0.0% compare
- 19 Iran 0.0% compare
- 19 Iraq 0.0% compare
- 19 Ireland 0.0%
- 19 Israel 0.0% compare
- 19 Italy 0.0%
- 19 Jamaica 0.0%
- 19 Japan 0.0%
- 19 Jordan 0.0% compare
- 19 Kazakhstan 0.0%
- 19 Kenya 0.0% compare
- 19 South Korea 0.0%
- 19 Kuwait 0.0% compare
- 19 Kyrgyzstan 0.0%
- 19 Latvia 0.0%
- 19 Lebanon 0.0% compare
- 19 Lesotho 0.0% compare
- 19 Lithuania 0.0%
- 19 Luxembourg 0.0% compare
- 19 Macao 0.0%
- 19 Malawi 0.0% compare
- 19 Maldives 0.0% compare
- 19 Malta 0.0%
- 19 Mauritius 0.0% compare
- 19 Mexico 0.0% compare
- 19 Moldova 0.0%
- 19 Mongolia 0.0%
- 19 Montenegro 0.0% compare
- 19 Morocco 0.0% compare
- 19 Myanmar 0.0% compare
- 19 Nepal 0.0% compare
- 19 Netherlands 0.0% compare
- 19 New Caledonia 0.0% compare
- 19 New Zealand 0.0%
- 19 Nicaragua 0.0% compare
- 19 Nigeria 0.0% compare
- 19 North Macedonia 0.0% compare
- 19 Norway 0.0%
- 19 Pakistan 0.0% compare
- 19 Panama 0.0% compare
- 19 Paraguay 0.0% compare
- 19 Peru 0.0% compare
- 19 Philippines 0.0% compare
- 19 Poland 0.0%
- 19 Portugal 0.0% compare
- 19 Puerto Rico 0.0% compare
- 19 Qatar 0.0% compare
- 19 Romania 0.0% compare
- 19 Russia 0.0%
- 19 Rwanda 0.0% compare
- 19 Samoa 0.0%
- 19 Sao Tome and Principe 0.0% compare
- 19 Saudi Arabia 0.0% compare
- 19 Serbia 0.0%
- 19 Singapore 0.0% compare
- 19 Slovakia 0.0%
- 19 Slovenia 0.0%
- 19 South Africa 0.0% compare
- 19 Spain 0.0%
- 19 Saint Lucia 0.0% compare
- 19 Saint Vincent and the Grenadines 0.0% compare
- 19 Sudan 0.0% compare
- 19 Suriname 0.0%
- 19 Sweden 0.0%
- 19 Switzerland 0.0%
- 19 Syria 0.0% compare
- 19 Tajikistan 0.0% compare
- 19 Thailand 0.0% compare
- 19 East Timor 0.0% compare
- 19 Tonga 0.0% compare
- 19 Trinidad and Tobago 0.0% compare
- 19 Tunisia 0.0% compare
- 19 Turkey 0.0% compare
- 19 Turkmenistan 0.0%
- 19 Uganda 0.0% compare
- 19 Ukraine 0.0%
- 19 United Arab Emirates 0.0% compare
- 19 United Kingdom 0.0%
- 19 United States 0.0%
- 19 Uruguay 0.0%
- 19 Vanuatu 0.0% compare
- 19 Venezuela 0.0% compare
- 19 Vietnam 0.0% compare
- 19 Palestine 0.0% compare
- 19 Zambia 0.0% compare
- 19 Zimbabwe 0.0% compare
More reference data data for Namibia
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0579 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 1.52 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 1.62 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0157 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 1.62 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.194 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.1306 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 6.29 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 6.82 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0853 (2050)
Frequently asked questions
- What is wittgenstein projection: percentage of the population age 20-39 by in Namibia?
- Wittgenstein projection: percentage of the population age 20-39 by in Namibia 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 20-39 by recorded in Namibia?
- The highest recorded value was 0.1% in 2010.
- What is the lowest wittgenstein projection: percentage of the population age 20-39 by recorded in Namibia?
- The lowest recorded value was 0.0% in 2045.
- How does Namibia rank for wittgenstein projection: percentage of the population age 20-39 by?
- Namibia ranks 19th out of 166 countries with data for 2100.
- Where does this Namibia 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 20-39 by highest level of educational attainment. No Education. Female. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 19 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Share of the population of the stated age group that has never attended school. 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/