Statizoid

Wittgenstein Projection: Percentage of the population age 25-29 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
108
Highest
0.0%
Mali
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 25-29 by highest level of educational attainment. No Education. Female is currently reported for 108 countries. The highest value is 0.0% in Mali; 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 25-29 by: full country ranking

#Country LatestYear 10-year changeTrend
1 Mali 0.0% 2100 down 50.0% volatile
1 Niger 0.0% 2100 down 50.0% volatile
1 Chad 0.0% 2100 down 60.0% volatile
4 Benin 0.0% 2100 unchanged volatile
4 Burkina Faso 0.0% 2100 down 66.7% volatile
4 Guinea 0.0% 2100 down 50.0% volatile
4 Liberia 0.0% 2100 down 50.0% volatile
4 Mozambique 0.0% 2100 down 50.0% volatile
4 Senegal 0.0% 2100 unchanged volatile
4 Sierra Leone 0.0% 2100 unchanged volatile
11 Aruba 0.0% 2100 — volatile
11 Albania 0.0% 2100 — volatile
11 United Arab Emirates 0.0% 2100 — volatile
11 Argentina 0.0% 2100 — volatile
11 Burundi 0.0% 2100 down 100.0% volatile
11 Bangladesh 0.0% 2100 — volatile
11 Bahrain 0.0% 2100 — volatile
11 Bosnia and Herzegovina 0.0% 2100 — volatile
11 Belize 0.0% 2100 — volatile
11 Bolivia 0.0% 2100 — volatile
11 Brazil 0.0% 2100 — volatile
11 Bhutan 0.0% 2100 — volatile
11 Central African Republic 0.0% 2100 — volatile
11 Chile 0.0% 2100 — volatile
11 China 0.0% 2100 — volatile
11 Cote d'Ivoire 0.0% 2100 — volatile
11 Cameroon 0.0% 2100 — volatile
11 Democratic Republic of Congo 0.0% 2100 — volatile
11 Congo 0.0% 2100 — volatile
11 Colombia 0.0% 2100 — volatile
11 Comoros 0.0% 2100 — volatile
11 Cape Verde 0.0% 2100 — volatile
11 Costa Rica 0.0% 2100 — volatile
11 Germany 0.0% 2100 — volatile
11 Algeria 0.0% 2100 — volatile
11 Ecuador 0.0% 2100 — volatile
11 Egypt 0.0% 2100 — volatile
11 Ethiopia 0.0% 2100 — volatile
11 France 0.0% 2100 — volatile
11 Gabon 0.0% 2100 — volatile
11 Ghana 0.0% 2100 — volatile
11 Gambia 0.0% 2100 — volatile
11 Guinea-Bissau 0.0% 2100 down 100.0% volatile
11 Equatorial Guinea 0.0% 2100 — volatile
11 Guatemala 0.0% 2100 — volatile
11 Guyana 0.0% 2100 — volatile
11 Honduras 0.0% 2100 — volatile
11 Haiti 0.0% 2100 — volatile
11 Indonesia 0.0% 2100 — volatile
11 India 0.0% 2100 — volatile
11 Iran 0.0% 2100 — volatile
11 Iraq 0.0% 2100 — volatile
11 Israel 0.0% 2100 — volatile
11 Jordan 0.0% 2100 — volatile
11 Kenya 0.0% 2100 — volatile
11 Cambodia 0.0% 2100 — volatile
11 Kuwait 0.0% 2100 — volatile
11 Laos 0.0% 2100 — volatile
11 Lebanon 0.0% 2100 — volatile
11 Lesotho 0.0% 2100 — volatile
11 Luxembourg 0.0% 2100 — volatile
11 Morocco 0.0% 2100 — volatile
11 Madagascar 0.0% 2100 down 100.0% volatile
11 Maldives 0.0% 2100 — volatile
11 Mexico 0.0% 2100 — volatile
11 North Macedonia 0.0% 2100 — volatile
11 Myanmar 0.0% 2100 — volatile
11 Montenegro 0.0% 2100 — volatile
11 Mongolia 0.0% 2100 — volatile
11 Mauritius 0.0% 2100 — volatile
11 Malawi 0.0% 2100 — volatile
11 Malaysia 0.0% 2100 — volatile
11 Namibia 0.0% 2100 — volatile
11 New Caledonia 0.0% 2100 — volatile
11 Nigeria 0.0% 2100 — volatile
11 Nicaragua 0.0% 2100 — volatile
11 Netherlands 0.0% 2100 — volatile
11 Nepal 0.0% 2100 — volatile
11 Pakistan 0.0% 2100 — volatile
11 Panama 0.0% 2100 — volatile
11 Peru 0.0% 2100 — volatile
11 Philippines 0.0% 2100 — volatile
11 Paraguay 0.0% 2100 — volatile
11 Palestine 0.0% 2100 — volatile
11 French Polynesia 0.0% 2100 — volatile
11 Qatar 0.0% 2100 — volatile
11 Romania 0.0% 2100 — volatile
11 Rwanda 0.0% 2100 — volatile
11 Saudi Arabia 0.0% 2100 — volatile
11 Sudan 0.0% 2100 down 100.0% volatile
11 El Salvador 0.0% 2100 — volatile
11 Somalia 0.0% 2100 down 100.0% volatile
11 Sao Tome and Principe 0.0% 2100 — volatile
11 Eswatini 0.0% 2100 — volatile
11 Syria 0.0% 2100 — volatile
11 Thailand 0.0% 2100 — volatile
11 Tajikistan 0.0% 2100 — volatile
11 East Timor 0.0% 2100 — volatile
11 Tunisia 0.0% 2100 — volatile
11 Turkey 0.0% 2100 — volatile
11 Tanzania 0.0% 2100 — volatile
11 Uganda 0.0% 2100 — volatile
11 Venezuela 0.0% 2100 — volatile
11 Vietnam 0.0% 2100 — volatile
11 Vanuatu 0.0% 2100 — volatile
11 South Africa 0.0% 2100 — volatile
11 Zambia 0.0% 2100 — volatile
11 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 25-29 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-25-29-by-highest-level-of-13/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 25-29 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/