Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. Primary. Male by country

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)...

Countries reporting
156
Highest
0.3%
Madagascar
Lowest
0.0%
South Africa
Median
0.0%
Years covered
91
2010–2100
Data points
3,173

What the numbers show

Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. Primary. Male is currently reported for 156 countries. The highest value is 0.3% in Madagascar; the lowest is 0.0% in South Africa.

The median across all reporting countries is 0.0%, and the mean is 0.0%.

Wittgenstein Projection: Percentage of the population age 20-39 by: full country ranking

#Country LatestYear 10-year changeTrend
1 Madagascar 0.3% 2100 down 16.7% rising
2 Tanzania 0.3% 2100 down 17.6% falling
3 Niger 0.2% 2100 down 13.8% rising
4 Sao Tome and Principe 0.2% 2100 down 17.2% falling
5 Burundi 0.2% 2100 down 21.4% falling
6 Uganda 0.2% 2100 down 26.1% falling
7 Senegal 0.1% 2100 down 28.6% falling
8 Benin 0.1% 2100 down 22.2% falling
8 Rwanda 0.1% 2100 down 30.0% falling
10 Burkina Faso 0.1% 2100 down 23.5% rising
10 Ethiopia 0.1% 2100 down 27.8% falling
10 Chad 0.1% 2100 down 23.5% falling
13 Central African Republic 0.1% 2100 down 31.2% falling
13 Cambodia 0.1% 2100 down 26.7% falling
13 Liberia 0.1% 2100 down 21.4% rising
13 Mali 0.1% 2100 down 21.4% rising
17 Belize 0.1% 2100 down 28.6% falling
17 Cape Verde 0.1% 2100 down 28.6% falling
17 Sierra Leone 0.1% 2100 down 23.1% falling
17 Somalia 0.1% 2100 down 28.6% falling
21 Guinea 0.1% 2100 down 25.0% falling
22 Honduras 0.1% 2100 down 27.3% falling
22 Mozambique 0.1% 2100 down 20.0% rising
24 Bangladesh 0.1% 2100 down 30.0% falling
24 Comoros 0.1% 2100 down 30.0% falling
24 Laos 0.1% 2100 down 30.0% falling
24 Myanmar 0.1% 2100 down 22.2% falling
24 Vanuatu 0.1% 2100 down 30.0% falling
29 Cote d'Ivoire 0.1% 2100 down 33.3% falling
29 Guatemala 0.1% 2100 down 33.3% falling
29 Mauritius 0.1% 2100 down 33.3% falling
29 Qatar 0.1% 2100 down 14.3% falling
33 Congo 0.1% 2100 down 44.4% falling
33 Gambia 0.1% 2100 down 28.6% falling
33 Lesotho 0.1% 2100 down 37.5% falling
33 Sudan 0.1% 2100 down 16.7% falling
33 Syria 0.1% 2100 down 28.6% falling
33 Uruguay 0.1% 2100 down 37.5% volatile
33 Vietnam 0.1% 2100 down 28.6% falling
33 Zambia 0.1% 2100 down 37.5% falling
41 Cameroon 0.0% 2100 down 42.9% volatile
41 Gabon 0.0% 2100 down 42.9% falling
41 Guinea-Bissau 0.0% 2100 down 33.3% falling
41 Maldives 0.0% 2100 down 33.3% volatile
41 Malawi 0.0% 2100 down 33.3% falling
41 Nicaragua 0.0% 2100 down 20.0% falling
41 Saint Vincent and the Grenadines 0.0% 2100 down 20.0% volatile
48 Costa Rica 0.0% 2100 down 25.0% volatile
48 Ghana 0.0% 2100 down 25.0% falling
48 Paraguay 0.0% 2100 down 25.0% volatile
48 Suriname 0.0% 2100 down 25.0% volatile
48 Samoa 0.0% 2100 down 40.0% volatile
53 United Arab Emirates 0.0% 2100 down 33.3% volatile
53 Bahamas 0.0% 2100 down 33.3% falling
53 Democratic Republic of Congo 0.0% 2100 down 33.3% volatile
53 Equatorial Guinea 0.0% 2100 down 33.3% falling
53 Iraq 0.0% 2100 down 33.3% volatile
53 Iceland 0.0% 2100 down 33.3% volatile
53 Morocco 0.0% 2100 down 33.3% volatile
53 Pakistan 0.0% 2100 down 50.0% falling
53 Eswatini 0.0% 2100 unchanged volatile
53 Venezuela 0.0% 2100 down 33.3% volatile
63 Aruba 0.0% 2100 down 50.0% volatile
63 Argentina 0.0% 2100 unchanged volatile
63 Bahrain 0.0% 2100 unchanged volatile
63 Brazil 0.0% 2100 unchanged volatile
63 Bhutan 0.0% 2100 unchanged falling
63 China 0.0% 2100 unchanged volatile
63 Ecuador 0.0% 2100 unchanged volatile
63 Guyana 0.0% 2100 unchanged volatile
63 Haiti 0.0% 2100 unchanged volatile
63 India 0.0% 2100 down 50.0% volatile
63 Israel 0.0% 2100 unchanged volatile
63 Jamaica 0.0% 2100 down 50.0% volatile
63 Kuwait 0.0% 2100 down 50.0% falling
63 Saint Lucia 0.0% 2100 down 50.0% volatile
63 Mexico 0.0% 2100 unchanged volatile
63 Namibia 0.0% 2100 unchanged volatile
63 Panama 0.0% 2100 unchanged volatile
63 Portugal 0.0% 2100 down 50.0% volatile
63 El Salvador 0.0% 2100 down 50.0% volatile
63 Thailand 0.0% 2100 unchanged volatile
63 Tonga 0.0% 2100 unchanged volatile
63 Trinidad and Tobago 0.0% 2100 unchanged volatile
63 Turkey 0.0% 2100 unchanged volatile
63 Zimbabwe 0.0% 2100 unchanged volatile
87 Albania 0.0% 2100 volatile
87 Armenia 0.0% 2100 volatile
87 Australia 0.0% 2100 volatile
87 Austria 0.0% 2100 volatile
87 Azerbaijan 0.0% 2100 down 100.0% volatile
87 Belgium 0.0% 2100 volatile
87 Bulgaria 0.0% 2100 volatile
87 Bosnia and Herzegovina 0.0% 2100 volatile
87 Bolivia 0.0% 2100 down 100.0% volatile
87 Canada 0.0% 2100 volatile
87 Switzerland 0.0% 2100 volatile
87 Chile 0.0% 2100 volatile
87 Colombia 0.0% 2100 down 100.0% volatile
87 Cuba 0.0% 2100 volatile
87 Cyprus 0.0% 2100 volatile
87 Germany 0.0% 2100 volatile
87 Dominican Republic 0.0% 2100 down 100.0% volatile
87 Algeria 0.0% 2100 volatile
87 Egypt 0.0% 2100 volatile
87 Spain 0.0% 2100 volatile
87 Estonia 0.0% 2100 volatile
87 France 0.0% 2100 volatile
87 United Kingdom 0.0% 2100 down 100.0% volatile
87 Georgia 0.0% 2100 volatile
87 Greece 0.0% 2100 volatile
87 Hong Kong 0.0% 2100 volatile
87 Croatia 0.0% 2100 volatile
87 Hungary 0.0% 2100 volatile
87 Indonesia 0.0% 2100 down 100.0% volatile
87 Ireland 0.0% 2100 volatile
87 Iran 0.0% 2100 volatile
87 Italy 0.0% 2100 volatile
87 Jordan 0.0% 2100 volatile
87 Japan 0.0% 2100 volatile
87 Kazakhstan 0.0% 2100 volatile
87 Kenya 0.0% 2100 volatile
87 Kyrgyzstan 0.0% 2100 volatile
87 Lebanon 0.0% 2100 down 100.0% volatile
87 Lithuania 0.0% 2100 volatile
87 Luxembourg 0.0% 2100 volatile
87 Latvia 0.0% 2100 volatile
87 Macao 0.0% 2100 volatile
87 Moldova 0.0% 2100 volatile
87 North Macedonia 0.0% 2100 volatile
87 Malta 0.0% 2100 volatile
87 Montenegro 0.0% 2100 volatile
87 Mongolia 0.0% 2100 volatile
87 Malaysia 0.0% 2100 volatile
87 New Caledonia 0.0% 2100 volatile
87 Nigeria 0.0% 2100 volatile
87 Netherlands 0.0% 2100 volatile
87 Nepal 0.0% 2100 down 100.0% volatile
87 New Zealand 0.0% 2100 volatile
87 Peru 0.0% 2100 volatile
87 Philippines 0.0% 2100 volatile
87 Puerto Rico 0.0% 2100 volatile
87 Palestine 0.0% 2100 volatile
87 French Polynesia 0.0% 2100 volatile
87 Romania 0.0% 2100 volatile
87 Russia 0.0% 2100 volatile
87 Saudi Arabia 0.0% 2100 volatile
87 Singapore 0.0% 2100 volatile
87 Serbia 0.0% 2100 volatile
87 Slovenia 0.0% 2100 volatile
87 Sweden 0.0% 2100 volatile
87 Tajikistan 0.0% 2100 volatile
87 East Timor 0.0% 2100 volatile
87 Tunisia 0.0% 2100 volatile
87 United States 0.0% 2100 volatile
87 South Africa 0.0% 2100 down 100.0% volatile

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Wittgenstein Projection: Percentage of the population age 20-39 by by country. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 01 September 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-20-39-by-highest-level-of-2/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. Primary. Male
Source
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
167 places, 3,173 data points, 2010–2100
Last refreshed

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/