Statizoid

Wittgenstein Projection: Percentage of the population age 80+ 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
151
Highest
0.3%
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 80+ by highest level of educational attainment. No Education. Male is currently reported for 151 countries. The highest value is 0.3% 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 80+ by: full country ranking

#Country LatestYear 10-year changeTrend
1 Mali 0.3% 2100 down 22.0% falling
2 Niger 0.3% 2100 down 20.5% falling
3 Chad 0.3% 2100 down 13.3% falling
4 Burkina Faso 0.2% 2100 down 21.9% falling
5 Liberia 0.2% 2100 down 27.3% falling
6 Mozambique 0.2% 2100 down 25.0% falling
7 Guinea 0.2% 2100 down 27.3% falling
7 Sierra Leone 0.2% 2100 down 23.8% falling
9 Benin 0.1% 2100 down 22.2% volatile
9 Senegal 0.1% 2100 down 30.0% falling
11 Pakistan 0.1% 2100 down 26.7% volatile
11 Sudan 0.1% 2100 down 35.3% volatile
13 Ethiopia 0.1% 2100 down 30.8% volatile
13 Guinea-Bissau 0.1% 2100 down 25.0% volatile
15 Burundi 0.1% 2100 down 38.5% volatile
15 Madagascar 0.1% 2100 down 27.3% volatile
17 Somalia 0.1% 2100 down 36.4% volatile
18 Bangladesh 0.1% 2100 down 28.6% volatile
18 Bhutan 0.1% 2100 down 44.4% volatile
18 Côte d'Ivoire 0.1% 2100 down 44.4% volatile
18 Ghana 0.1% 2100 down 44.4% volatile
22 Gambia 0.0% 2100 down 33.3% volatile
22 Guatemala 0.0% 2100 down 33.3% volatile
22 India 0.0% 2100 down 42.9% volatile
22 Rwanda 0.0% 2100 down 42.9% volatile
26 Malawi 0.0% 2100 down 40.0% volatile
26 Nicaragua 0.0% 2100 down 40.0% volatile
26 Nepal 0.0% 2100 down 40.0% volatile
26 Uganda 0.0% 2100 down 40.0% volatile
30 Central African Republic 0.0% 2100 down 33.3% volatile
30 Honduras 0.0% 2100 down 33.3% volatile
30 Cambodia 0.0% 2100 down 50.0% volatile
30 Lao People's Democratic Republic 0.0% 2100 down 33.3% volatile
30 Morocco 0.0% 2100 down 60.0% volatile
30 Nigeria 0.0% 2100 down 50.0% volatile
30 El Salvador 0.0% 2100 down 33.3% volatile
37 Belize 0.0% 2100 down 50.0% volatile
37 Brazil 0.0% 2100 unchanged volatile
37 Cameroon 0.0% 2100 unchanged volatile
37 Congo, Democratic Republic of the 0.0% 2100 unchanged volatile
37 Comoros 0.0% 2100 unchanged volatile
37 Egypt 0.0% 2100 down 66.7% volatile
37 Haiti 0.0% 2100 down 50.0% volatile
37 Lesotho 0.0% 2100 down 50.0% volatile
37 Qatar 0.0% 2100 unchanged volatile
37 Syria 0.0% 2100 down 50.0% volatile
37 Vanuatu 0.0% 2100 down 50.0% volatile
48 Aruba 0.0% 2100 down 100.0% volatile
48 Albania 0.0% 2100 — volatile
48 United Arab Emirates 0.0% 2100 down 100.0% volatile
48 Argentina 0.0% 2100 — volatile
48 Armenia 0.0% 2100 — volatile
48 Australia 0.0% 2100 — volatile
48 Azerbaijan 0.0% 2100 — volatile
48 Belgium 0.0% 2100 — volatile
48 Bulgaria 0.0% 2100 — volatile
48 Bahrain 0.0% 2100 — volatile
48 Bahamas 0.0% 2100 — volatile
48 Bosnia and Herzegovina 0.0% 2100 — volatile
48 Bolivia, Plurinational State of 0.0% 2100 — volatile
48 Canada 0.0% 2100 — volatile
48 Chile 0.0% 2100 — volatile
48 China 0.0% 2100 — volatile
48 Congo 0.0% 2100 — volatile
48 Colombia 0.0% 2100 down 100.0% volatile
48 Cape Verde 0.0% 2100 down 100.0% volatile
48 Costa Rica 0.0% 2100 — volatile
48 Cuba 0.0% 2100 — volatile
48 Cyprus 0.0% 2100 — volatile
48 Germany 0.0% 2100 — volatile
48 Dominican Republic 0.0% 2100 — volatile
48 Algeria 0.0% 2100 — volatile
48 Ecuador 0.0% 2100 — volatile
48 Spain 0.0% 2100 — volatile
48 France 0.0% 2100 — volatile
48 Gabon 0.0% 2100 — volatile
48 United Kingdom of Great Britain and Northern Ireland 0.0% 2100 — volatile
48 Equatorial Guinea 0.0% 2100 down 100.0% volatile
48 Greece 0.0% 2100 — volatile
48 Guyana 0.0% 2100 — volatile
48 Hong Kong 0.0% 2100 — volatile
48 Croatia 0.0% 2100 — volatile
48 Hungary 0.0% 2100 — volatile
48 Indonesia 0.0% 2100 — volatile
48 Ireland 0.0% 2100 — volatile
48 Iran, Islamic Republic of 0.0% 2100 — volatile
48 Iraq 0.0% 2100 — volatile
48 Israel 0.0% 2100 — volatile
48 Italy 0.0% 2100 — volatile
48 Jamaica 0.0% 2100 — volatile
48 Jordan 0.0% 2100 — volatile
48 Kazakhstan 0.0% 2100 — volatile
48 Kenya 0.0% 2100 — volatile
48 Kyrgyzstan 0.0% 2100 — volatile
48 Republic of Korea 0.0% 2100 — volatile
48 Kuwait 0.0% 2100 down 100.0% volatile
48 Lebanon 0.0% 2100 — volatile
48 Saint Lucia 0.0% 2100 — volatile
48 Luxembourg 0.0% 2100 — volatile
48 Latvia 0.0% 2100 — volatile
48 Macao 0.0% 2100 — volatile
48 Republic of Moldova 0.0% 2100 — volatile
48 Maldives 0.0% 2100 — volatile
48 Mexico 0.0% 2100 — volatile
48 North Macedonia 0.0% 2100 — volatile
48 Malta 0.0% 2100 — volatile
48 Myanmar 0.0% 2100 — volatile
48 Montenegro 0.0% 2100 — volatile
48 Mongolia 0.0% 2100 — volatile
48 Mauritius 0.0% 2100 — volatile
48 Malaysia 0.0% 2100 — volatile
48 Namibia 0.0% 2100 down 100.0% volatile
48 New Caledonia 0.0% 2100 — volatile
48 Netherlands 0.0% 2100 down 100.0% volatile
48 New Zealand 0.0% 2100 — volatile
48 Panama 0.0% 2100 down 100.0% volatile
48 Peru 0.0% 2100 — volatile
48 Philippines 0.0% 2100 — volatile
48 Poland 0.0% 2100 — volatile
48 Puerto Rico 0.0% 2100 — volatile
48 Portugal 0.0% 2100 — volatile
48 Paraguay 0.0% 2100 — volatile
48 Palestine, State of 0.0% 2100 — volatile
48 French Polynesia 0.0% 2100 — volatile
48 Romania 0.0% 2100 — volatile
48 Russian Federation 0.0% 2100 — volatile
48 Saudi Arabia 0.0% 2100 — volatile
48 Singapore 0.0% 2100 — volatile
48 Serbia 0.0% 2100 — volatile
48 Sao Tome and Principe 0.0% 2100 down 100.0% volatile
48 Suriname 0.0% 2100 — volatile
48 Slovenia 0.0% 2100 — volatile
48 Eswatini 0.0% 2100 — volatile
48 Thailand 0.0% 2100 — volatile
48 Tajikistan 0.0% 2100 — volatile
48 Turkmenistan 0.0% 2100 — volatile
48 Timor-Leste 0.0% 2100 down 100.0% volatile
48 Tonga 0.0% 2100 — volatile
48 Trinidad and Tobago 0.0% 2100 — volatile
48 Tunisia 0.0% 2100 — volatile
48 Türkiye 0.0% 2100 — volatile
48 Tanzania, United Republic of 0.0% 2100 — volatile
48 Uruguay 0.0% 2100 — volatile
48 United States of America 0.0% 2100 — volatile
48 Saint Vincent and the Grenadines 0.0% 2100 — volatile
48 Venezuela, Bolivarian Republic of 0.0% 2100 — volatile
48 Viet Nam 0.0% 2100 down 100.0% volatile
48 Samoa 0.0% 2100 — volatile
48 South Africa 0.0% 2100 — volatile
48 Zambia 0.0% 2100 — volatile
48 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 80+ 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-80-by-highest-level-of-14/

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About this data

Indicator
Wittgenstein Projection: Percentage of the population age 80+ 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/