Statizoid

Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. No Education. Female 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
118
Highest
0.0%
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 population age 20-39 by highest level of educational attainment. No Education. Female is currently reported for 118 countries. The highest value is 0.0% 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 population age 20-39 by: full country ranking

#Country LatestYear 10-year changeTrend
1 Chad 0.0% 2100 down 57.1% volatile
2 Burkina Faso 0.0% 2100 down 50.0% volatile
2 Liberia 0.0% 2100 down 33.3% volatile
2 Mali 0.0% 2100 down 60.0% volatile
2 Niger 0.0% 2100 down 60.0% volatile
6 Burundi 0.0% 2100 unchanged volatile
6 Benin 0.0% 2100 down 50.0% volatile
6 Guinea 0.0% 2100 down 50.0% volatile
6 Gambia 0.0% 2100 unchanged volatile
6 Indonesia 0.0% 2100 unchanged falling
6 Laos 0.0% 2100 unchanged volatile
6 Madagascar 0.0% 2100 unchanged volatile
6 Mozambique 0.0% 2100 down 66.7% volatile
6 Malaysia 0.0% 2100 unchanged falling
6 Senegal 0.0% 2100 unchanged volatile
6 Sierra Leone 0.0% 2100 down 50.0% volatile
6 Somalia 0.0% 2100 unchanged volatile
6 Tanzania 0.0% 2100 unchanged volatile
19 Aruba 0.0% 2100 — volatile
19 Albania 0.0% 2100 — volatile
19 United Arab Emirates 0.0% 2100 — volatile
19 Argentina 0.0% 2100 — volatile
19 Belgium 0.0% 2100 — volatile
19 Bangladesh 0.0% 2100 down 100.0% volatile
19 Bulgaria 0.0% 2100 — volatile
19 Bahrain 0.0% 2100 — volatile
19 Bosnia and Herzegovina 0.0% 2100 — volatile
19 Belize 0.0% 2100 — volatile
19 Bolivia 0.0% 2100 — volatile
19 Brazil 0.0% 2100 — volatile
19 Bhutan 0.0% 2100 — volatile
19 Central African Republic 0.0% 2100 — volatile
19 Chile 0.0% 2100 — volatile
19 China 0.0% 2100 — volatile
19 Cote d'Ivoire 0.0% 2100 — volatile
19 Cameroon 0.0% 2100 — volatile
19 Democratic Republic of Congo 0.0% 2100 — volatile
19 Congo 0.0% 2100 — volatile
19 Colombia 0.0% 2100 — volatile
19 Comoros 0.0% 2100 — volatile
19 Cape Verde 0.0% 2100 — volatile
19 Costa Rica 0.0% 2100 — volatile
19 Germany 0.0% 2100 — volatile
19 Dominican Republic 0.0% 2100 — volatile
19 Algeria 0.0% 2100 — volatile
19 Ecuador 0.0% 2100 — volatile
19 Egypt 0.0% 2100 — volatile
19 Ethiopia 0.0% 2100 down 100.0% volatile
19 France 0.0% 2100 — volatile
19 Gabon 0.0% 2100 — volatile
19 Ghana 0.0% 2100 — volatile
19 Guinea-Bissau 0.0% 2100 down 100.0% volatile
19 Equatorial Guinea 0.0% 2100 — volatile
19 Guatemala 0.0% 2100 — volatile
19 Guyana 0.0% 2100 — volatile
19 Hong Kong 0.0% 2100 — volatile
19 Honduras 0.0% 2100 — volatile
19 Haiti 0.0% 2100 — volatile
19 India 0.0% 2100 — volatile
19 Iran 0.0% 2100 — volatile
19 Iraq 0.0% 2100 — volatile
19 Israel 0.0% 2100 — volatile
19 Jordan 0.0% 2100 — volatile
19 Kenya 0.0% 2100 — volatile
19 Cambodia 0.0% 2100 — volatile
19 Kuwait 0.0% 2100 — volatile
19 Lebanon 0.0% 2100 — volatile
19 Saint Lucia 0.0% 2100 — volatile
19 Lesotho 0.0% 2100 — volatile
19 Luxembourg 0.0% 2100 — volatile
19 Morocco 0.0% 2100 — volatile
19 Maldives 0.0% 2100 — volatile
19 Mexico 0.0% 2100 — volatile
19 North Macedonia 0.0% 2100 — volatile
19 Myanmar 0.0% 2100 — volatile
19 Montenegro 0.0% 2100 — volatile
19 Mauritius 0.0% 2100 — volatile
19 Malawi 0.0% 2100 — volatile
19 Namibia 0.0% 2100 — volatile
19 New Caledonia 0.0% 2100 — volatile
19 Nigeria 0.0% 2100 — volatile
19 Nicaragua 0.0% 2100 — volatile
19 Netherlands 0.0% 2100 — volatile
19 Nepal 0.0% 2100 — volatile
19 Pakistan 0.0% 2100 down 100.0% volatile
19 Panama 0.0% 2100 — volatile
19 Peru 0.0% 2100 — volatile
19 Philippines 0.0% 2100 — volatile
19 Puerto Rico 0.0% 2100 — volatile
19 Portugal 0.0% 2100 — volatile
19 Paraguay 0.0% 2100 — volatile
19 Palestine 0.0% 2100 — volatile
19 French Polynesia 0.0% 2100 — volatile
19 Qatar 0.0% 2100 — volatile
19 Romania 0.0% 2100 — volatile
19 Rwanda 0.0% 2100 — volatile
19 Saudi Arabia 0.0% 2100 — volatile
19 Sudan 0.0% 2100 down 100.0% volatile
19 Singapore 0.0% 2100 — volatile
19 El Salvador 0.0% 2100 — volatile
19 Sao Tome and Principe 0.0% 2100 down 100.0% volatile
19 Eswatini 0.0% 2100 — volatile
19 Syria 0.0% 2100 — volatile
19 Thailand 0.0% 2100 — volatile
19 Tajikistan 0.0% 2100 — volatile
19 East Timor 0.0% 2100 — volatile
19 Tonga 0.0% 2100 — volatile
19 Trinidad and Tobago 0.0% 2100 — volatile
19 Tunisia 0.0% 2100 — volatile
19 Turkey 0.0% 2100 — volatile
19 Uganda 0.0% 2100 — volatile
19 Saint Vincent and the Grenadines 0.0% 2100 — volatile
19 Venezuela 0.0% 2100 — volatile
19 Vietnam 0.0% 2100 — volatile
19 Vanuatu 0.0% 2100 — volatile
19 South Africa 0.0% 2100 — volatile
19 Zambia 0.0% 2100 — volatile
19 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 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 02 September 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-20-39-by-highest-level-of-13/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. No Education. Female
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/