Wittgenstein Projection: Percentage of the total population by highest level of educational attainment. No Education. Male by country

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...

Countries reporting
134
Highest
0.1%
Chad
Lowest
0.0%
Zimbabwe
Median
0.0%
Years covered
91
2010–2100
Data points
3,173

What the numbers show

Wittgenstein Projection: Percentage of the total population by highest level of educational attainment. No Education. Male is currently reported for 134 countries. The highest value is 0.1% in Chad; the lowest is 0.0% in Zimbabwe.

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

Wittgenstein Projection: Percentage of the total population by: full country ranking

#Country LatestYear 10-year changeTrend
1 Chad 0.1% 2100 down 18.2% falling
2 Mali 0.1% 2100 down 33.3% falling
3 Niger 0.1% 2100 down 22.2% falling
4 Burkina Faso 0.1% 2100 down 33.3% falling
4 Liberia 0.1% 2100 down 33.3% falling
6 Mozambique 0.1% 2100 down 28.6% falling
7 Benin 0.0% 2100 down 20.0% falling
7 Guinea 0.0% 2100 down 33.3% volatile
7 Sierra Leone 0.0% 2100 down 20.0% falling
10 Madagascar 0.0% 2100 down 25.0% falling
10 Pakistan 0.0% 2100 down 25.0% volatile
10 Senegal 0.0% 2100 down 25.0% volatile
13 Burundi 0.0% 2100 down 33.3% volatile
13 Bangladesh 0.0% 2100 unchanged volatile
13 Ethiopia 0.0% 2100 down 33.3% volatile
13 Guinea-Bissau 0.0% 2100 down 33.3% volatile
13 Sudan 0.0% 2100 down 50.0% volatile
13 Somalia 0.0% 2100 unchanged volatile
19 Bhutan 0.0% 2100 down 50.0% volatile
19 Côte d'Ivoire 0.0% 2100 unchanged volatile
19 Cape Verde 0.0% 2100 unchanged volatile
19 Ghana 0.0% 2100 down 50.0% volatile
19 Gambia 0.0% 2100 down 50.0% volatile
19 Guatemala 0.0% 2100 down 50.0% volatile
19 India 0.0% 2100 down 50.0% volatile
19 Cambodia 0.0% 2100 unchanged volatile
19 Lao People's Democratic Republic 0.0% 2100 unchanged volatile
19 Morocco 0.0% 2100 unchanged volatile
19 Malawi 0.0% 2100 unchanged volatile
19 Nicaragua 0.0% 2100 unchanged volatile
19 Nepal 0.0% 2100 unchanged volatile
19 Rwanda 0.0% 2100 unchanged volatile
33 Aruba 0.0% 2100 volatile
33 Albania 0.0% 2100 volatile
33 United Arab Emirates 0.0% 2100 volatile
33 Argentina 0.0% 2100 volatile
33 Azerbaijan 0.0% 2100 volatile
33 Belgium 0.0% 2100 volatile
33 Bulgaria 0.0% 2100 volatile
33 Bahrain 0.0% 2100 volatile
33 Bahamas 0.0% 2100 volatile
33 Bosnia and Herzegovina 0.0% 2100 volatile
33 Belize 0.0% 2100 down 100.0% volatile
33 Bolivia, Plurinational State of 0.0% 2100 volatile
33 Brazil 0.0% 2100 volatile
33 Central African Republic 0.0% 2100 volatile
33 Canada 0.0% 2100 volatile
33 Chile 0.0% 2100 volatile
33 China 0.0% 2100 volatile
33 Cameroon 0.0% 2100 volatile
33 Congo, Democratic Republic of the 0.0% 2100 volatile
33 Congo 0.0% 2100 volatile
33 Colombia 0.0% 2100 volatile
33 Comoros 0.0% 2100 volatile
33 Costa Rica 0.0% 2100 volatile
33 Cuba 0.0% 2100 volatile
33 Germany 0.0% 2100 volatile
33 Dominican Republic 0.0% 2100 volatile
33 Algeria 0.0% 2100 volatile
33 Ecuador 0.0% 2100 volatile
33 Egypt 0.0% 2100 down 100.0% volatile
33 Spain 0.0% 2100 volatile
33 France 0.0% 2100 volatile
33 Gabon 0.0% 2100 volatile
33 United Kingdom of Great Britain and Northern Ireland 0.0% 2100 volatile
33 Equatorial Guinea 0.0% 2100 volatile
33 Greece 0.0% 2100 volatile
33 Guyana 0.0% 2100 volatile
33 Hong Kong 0.0% 2100 volatile
33 Honduras 0.0% 2100 down 100.0% volatile
33 Croatia 0.0% 2100 volatile
33 Haiti 0.0% 2100 volatile
33 Indonesia 0.0% 2100 volatile
33 Iran 0.0% 2100 volatile
33 Iraq 0.0% 2100 volatile
33 Israel 0.0% 2100 volatile
33 Italy 0.0% 2100 volatile
33 Jamaica 0.0% 2100 volatile
33 Jordan 0.0% 2100 volatile
33 Kenya 0.0% 2100 volatile
33 Republic of Korea 0.0% 2100 volatile
33 Kuwait 0.0% 2100 volatile
33 Lebanon 0.0% 2100 volatile
33 Saint Lucia 0.0% 2100 volatile
33 Lesotho 0.0% 2100 volatile
33 Luxembourg 0.0% 2100 volatile
33 Macao 0.0% 2100 volatile
33 Maldives 0.0% 2100 volatile
33 Mexico 0.0% 2100 volatile
33 North Macedonia 0.0% 2100 volatile
33 Malta 0.0% 2100 volatile
33 Myanmar 0.0% 2100 volatile
33 Montenegro 0.0% 2100 volatile
33 Mongolia 0.0% 2100 volatile
33 Mauritius 0.0% 2100 volatile
33 Malaysia 0.0% 2100 volatile
33 Namibia 0.0% 2100 volatile
33 New Caledonia 0.0% 2100 volatile
33 Nigeria 0.0% 2100 volatile
33 Netherlands 0.0% 2100 volatile
33 Panama 0.0% 2100 volatile
33 Peru 0.0% 2100 volatile
33 Philippines 0.0% 2100 volatile
33 Puerto Rico 0.0% 2100 volatile
33 Portugal 0.0% 2100 volatile
33 Paraguay 0.0% 2100 volatile
33 Palestine, State of 0.0% 2100 volatile
33 French Polynesia 0.0% 2100 volatile
33 Qatar 0.0% 2100 volatile
33 Romania 0.0% 2100 volatile
33 Saudi Arabia 0.0% 2100 volatile
33 Singapore 0.0% 2100 volatile
33 El Salvador 0.0% 2100 down 100.0% volatile
33 Sao Tome and Principe 0.0% 2100 volatile
33 Eswatini 0.0% 2100 volatile
33 Syria 0.0% 2100 down 100.0% volatile
33 Thailand 0.0% 2100 volatile
33 Tajikistan 0.0% 2100 volatile
33 Timor-Leste 0.0% 2100 volatile
33 Tonga 0.0% 2100 volatile
33 Trinidad and Tobago 0.0% 2100 volatile
33 Tunisia 0.0% 2100 volatile
33 Türkiye 0.0% 2100 volatile
33 Tanzania, United Republic of 0.0% 2100 down 100.0% volatile
33 Uganda 0.0% 2100 down 100.0% volatile
33 Uruguay 0.0% 2100 volatile
33 United States 0.0% 2100 volatile
33 Saint Vincent and the Grenadines 0.0% 2100 volatile
33 Venezuela, Bolivarian Republic of 0.0% 2100 volatile
33 Viet Nam 0.0% 2100 volatile
33 Vanuatu 0.0% 2100 volatile
33 South Africa 0.0% 2100 volatile
33 Zambia 0.0% 2100 volatile
33 Zimbabwe 0.0% 2100 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 total population by by country. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 29 August 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-total-population-by-highest-level-of-14/

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About this data

Indicator
Wittgenstein Projection: Percentage of the total population by highest level of educational attainment. No Education. 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 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/