Wittgenstein Projection: Percentage of the population age 20-24 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
114
Highest
0.0%
Laos
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 20-24 by highest level of educational attainment. No Education. Female is currently reported for 114 countries. The highest value is 0.0% in Laos; 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 20-24 by: full country ranking

#Country LatestYear 10-year changeTrend
1 Laos 0.0% 2100 unchanged volatile
2 Somalia 0.0% 2100 down 25.0% volatile
3 Guinea 0.0% 2100 down 33.3% volatile
3 Gambia 0.0% 2100 unchanged volatile
3 Indonesia 0.0% 2100 unchanged rising
3 Malaysia 0.0% 2100 unchanged falling
3 Sao Tome and Principe 0.0% 2100 unchanged falling
3 Chad 0.0% 2100 down 50.0% volatile
3 Tanzania 0.0% 2100 down 33.3% falling
10 United Arab Emirates 0.0% 2100 unchanged falling
10 Azerbaijan 0.0% 2100 unchanged volatile
10 Burundi 0.0% 2100 down 50.0% volatile
10 Burkina Faso 0.0% 2100 down 50.0% volatile
10 Bhutan 0.0% 2100 unchanged volatile
10 Ghana 0.0% 2100 unchanged volatile
10 Lebanon 0.0% 2100 unchanged falling
10 Liberia 0.0% 2100 down 50.0% volatile
10 Madagascar 0.0% 2100 down 50.0% volatile
10 Mali 0.0% 2100 down 66.7% volatile
10 Mozambique 0.0% 2100 down 50.0% volatile
10 Niger 0.0% 2100 down 66.7% volatile
10 Paraguay 0.0% 2100 down 50.0% falling
10 Thailand 0.0% 2100 unchanged volatile
10 Tunisia 0.0% 2100 unchanged volatile
10 Saint Vincent and the Grenadines 0.0% 2100 unchanged flat
26 Aruba 0.0% 2100 volatile
26 Albania 0.0% 2100 volatile
26 Argentina 0.0% 2100 volatile
26 Benin 0.0% 2100 down 100.0% volatile
26 Bangladesh 0.0% 2100 volatile
26 Bulgaria 0.0% 2100 volatile
26 Bahrain 0.0% 2100 volatile
26 Bosnia and Herzegovina 0.0% 2100 volatile
26 Belize 0.0% 2100 volatile
26 Bolivia 0.0% 2100 volatile
26 Brazil 0.0% 2100 volatile
26 Central African Republic 0.0% 2100 volatile
26 China 0.0% 2100 volatile
26 Cote d'Ivoire 0.0% 2100 volatile
26 Cameroon 0.0% 2100 volatile
26 Democratic Republic of Congo 0.0% 2100 volatile
26 Congo 0.0% 2100 volatile
26 Colombia 0.0% 2100 volatile
26 Comoros 0.0% 2100 volatile
26 Cape Verde 0.0% 2100 volatile
26 Costa Rica 0.0% 2100 volatile
26 Germany 0.0% 2100 volatile
26 Dominican Republic 0.0% 2100 down 100.0% volatile
26 Algeria 0.0% 2100 volatile
26 Ecuador 0.0% 2100 volatile
26 Egypt 0.0% 2100 volatile
26 Ethiopia 0.0% 2100 volatile
26 France 0.0% 2100 volatile
26 Gabon 0.0% 2100 volatile
26 Guinea-Bissau 0.0% 2100 volatile
26 Equatorial Guinea 0.0% 2100 volatile
26 Guatemala 0.0% 2100 volatile
26 Guyana 0.0% 2100 volatile
26 Honduras 0.0% 2100 volatile
26 Croatia 0.0% 2100 volatile
26 Haiti 0.0% 2100 volatile
26 India 0.0% 2100 volatile
26 Iran 0.0% 2100 volatile
26 Iraq 0.0% 2100 volatile
26 Jordan 0.0% 2100 volatile
26 Kenya 0.0% 2100 volatile
26 Cambodia 0.0% 2100 volatile
26 Kuwait 0.0% 2100 volatile
26 Saint Lucia 0.0% 2100 volatile
26 Lesotho 0.0% 2100 volatile
26 Luxembourg 0.0% 2100 volatile
26 Morocco 0.0% 2100 volatile
26 Maldives 0.0% 2100 volatile
26 Mexico 0.0% 2100 volatile
26 North Macedonia 0.0% 2100 volatile
26 Malta 0.0% 2100 volatile
26 Myanmar 0.0% 2100 volatile
26 Montenegro 0.0% 2100 volatile
26 Mongolia 0.0% 2100 volatile
26 Mauritius 0.0% 2100 volatile
26 Malawi 0.0% 2100 volatile
26 Namibia 0.0% 2100 volatile
26 New Caledonia 0.0% 2100 volatile
26 Nigeria 0.0% 2100 volatile
26 Nicaragua 0.0% 2100 volatile
26 Netherlands 0.0% 2100 volatile
26 Nepal 0.0% 2100 volatile
26 Pakistan 0.0% 2100 volatile
26 Panama 0.0% 2100 volatile
26 Peru 0.0% 2100 volatile
26 Philippines 0.0% 2100 volatile
26 Portugal 0.0% 2100 volatile
26 Palestine 0.0% 2100 volatile
26 Qatar 0.0% 2100 volatile
26 Romania 0.0% 2100 volatile
26 Rwanda 0.0% 2100 volatile
26 Saudi Arabia 0.0% 2100 volatile
26 Sudan 0.0% 2100 volatile
26 Senegal 0.0% 2100 down 100.0% volatile
26 Sierra Leone 0.0% 2100 down 100.0% volatile
26 El Salvador 0.0% 2100 volatile
26 Eswatini 0.0% 2100 volatile
26 Syria 0.0% 2100 volatile
26 Tajikistan 0.0% 2100 volatile
26 East Timor 0.0% 2100 volatile
26 Tonga 0.0% 2100 volatile
26 Turkey 0.0% 2100 volatile
26 Uganda 0.0% 2100 volatile
26 Venezuela 0.0% 2100 volatile
26 Vietnam 0.0% 2100 volatile
26 Vanuatu 0.0% 2100 volatile
26 South Africa 0.0% 2100 volatile
26 Zambia 0.0% 2100 volatile
26 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 20-24 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-20-24-by-highest-level-of-13/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 20-24 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/