Statizoid

Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. Incomplete Primary. Male by country

Share of the population of the stated age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2) projection...

Countries reporting
145
Highest
0.1%
Madagascar
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 60+ by highest level of educational attainment. Incomplete Primary. Male is currently reported for 145 countries. The highest value is 0.1% in Madagascar; 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 60+ by: full country ranking

#Country LatestYear 10-year changeTrend
1 Madagascar 0.1% 2100 down 26.3% falling
2 Chad 0.1% 2100 down 20.0% falling
3 Belize 0.1% 2100 down 30.0% falling
4 Burundi 0.1% 2100 down 37.5% falling
4 Benin 0.1% 2100 down 28.6% falling
4 Cape Verde 0.1% 2100 down 37.5% volatile
4 Ethiopia 0.1% 2100 down 44.4% falling
4 Mozambique 0.1% 2100 down 28.6% falling
9 Burkina Faso 0.0% 2100 down 20.0% rising
9 Guatemala 0.0% 2100 down 42.9% falling
9 Niger 0.0% 2100 down 33.3% flat
9 Rwanda 0.0% 2100 down 42.9% falling
9 Syria 0.0% 2100 down 33.3% volatile
9 Uganda 0.0% 2100 down 42.9% volatile
15 Bangladesh 0.0% 2100 down 40.0% falling
15 Cambodia 0.0% 2100 down 25.0% volatile
15 Malawi 0.0% 2100 down 40.0% volatile
15 Nicaragua 0.0% 2100 down 40.0% volatile
15 Qatar 0.0% 2100 down 50.0% falling
15 Sierra Leone 0.0% 2100 down 25.0% falling
15 Sao Tome and Principe 0.0% 2100 down 50.0% volatile
22 Bhutan 0.0% 2100 down 33.3% volatile
22 Cote d'Ivoire 0.0% 2100 down 33.3% volatile
22 Laos 0.0% 2100 down 33.3% volatile
22 Liberia 0.0% 2100 down 33.3% falling
22 Mali 0.0% 2100 down 33.3% falling
22 Sudan 0.0% 2100 down 33.3% falling
22 El Salvador 0.0% 2100 down 50.0% volatile
29 Brazil 0.0% 2100 unchanged volatile
29 Central African Republic 0.0% 2100 down 50.0% volatile
29 Colombia 0.0% 2100 unchanged volatile
29 Dominican Republic 0.0% 2100 unchanged volatile
29 Guinea 0.0% 2100 unchanged falling
29 Gambia 0.0% 2100 unchanged volatile
29 Guinea-Bissau 0.0% 2100 down 50.0% volatile
29 Honduras 0.0% 2100 down 66.7% volatile
29 Haiti 0.0% 2100 down 66.7% volatile
29 India 0.0% 2100 unchanged volatile
29 Lesotho 0.0% 2100 down 66.7% volatile
29 Morocco 0.0% 2100 down 50.0% volatile
29 Mauritius 0.0% 2100 down 66.7% volatile
29 Pakistan 0.0% 2100 unchanged falling
29 Paraguay 0.0% 2100 down 50.0% volatile
29 Senegal 0.0% 2100 down 50.0% falling
29 Vietnam 0.0% 2100 unchanged volatile
29 Vanuatu 0.0% 2100 down 50.0% volatile
47 Aruba 0.0% 2100 — volatile
47 Albania 0.0% 2100 — volatile
47 United Arab Emirates 0.0% 2100 — volatile
47 Argentina 0.0% 2100 — volatile
47 Armenia 0.0% 2100 — volatile
47 Australia 0.0% 2100 — volatile
47 Azerbaijan 0.0% 2100 — volatile
47 Bulgaria 0.0% 2100 — volatile
47 Bahrain 0.0% 2100 — volatile
47 Bahamas 0.0% 2100 — volatile
47 Bosnia and Herzegovina 0.0% 2100 — volatile
47 Belarus 0.0% 2100 — volatile
47 Bolivia 0.0% 2100 down 100.0% volatile
47 Canada 0.0% 2100 — volatile
47 Chile 0.0% 2100 — volatile
47 Cameroon 0.0% 2100 down 100.0% volatile
47 Democratic Republic of Congo 0.0% 2100 down 100.0% volatile
47 Congo 0.0% 2100 — volatile
47 Comoros 0.0% 2100 down 100.0% volatile
47 Costa Rica 0.0% 2100 down 100.0% volatile
47 Cuba 0.0% 2100 — volatile
47 Cyprus 0.0% 2100 — volatile
47 Algeria 0.0% 2100 — volatile
47 Ecuador 0.0% 2100 down 100.0% volatile
47 Egypt 0.0% 2100 — volatile
47 Spain 0.0% 2100 — volatile
47 Gabon 0.0% 2100 — volatile
47 Georgia 0.0% 2100 — volatile
47 Ghana 0.0% 2100 down 100.0% volatile
47 Equatorial Guinea 0.0% 2100 down 100.0% volatile
47 Greece 0.0% 2100 — volatile
47 Guyana 0.0% 2100 — volatile
47 Hong Kong 0.0% 2100 — volatile
47 Croatia 0.0% 2100 — volatile
47 Hungary 0.0% 2100 — volatile
47 Indonesia 0.0% 2100 — volatile
47 Iran 0.0% 2100 — volatile
47 Iraq 0.0% 2100 — volatile
47 Israel 0.0% 2100 — volatile
47 Italy 0.0% 2100 — volatile
47 Jamaica 0.0% 2100 — volatile
47 Jordan 0.0% 2100 — volatile
47 Japan 0.0% 2100 — volatile
47 Kazakhstan 0.0% 2100 — volatile
47 Kenya 0.0% 2100 — volatile
47 Kyrgyzstan 0.0% 2100 — volatile
47 South Korea 0.0% 2100 — volatile
47 Kuwait 0.0% 2100 down 100.0% volatile
47 Lebanon 0.0% 2100 — volatile
47 Saint Lucia 0.0% 2100 — volatile
47 Lithuania 0.0% 2100 — volatile
47 Macao 0.0% 2100 — volatile
47 Moldova 0.0% 2100 — volatile
47 Maldives 0.0% 2100 down 100.0% volatile
47 Mexico 0.0% 2100 down 100.0% volatile
47 North Macedonia 0.0% 2100 — volatile
47 Malta 0.0% 2100 — volatile
47 Myanmar 0.0% 2100 — volatile
47 Montenegro 0.0% 2100 — volatile
47 Mongolia 0.0% 2100 — volatile
47 Malaysia 0.0% 2100 — volatile
47 Namibia 0.0% 2100 down 100.0% volatile
47 New Caledonia 0.0% 2100 — volatile
47 Nigeria 0.0% 2100 — volatile
47 Nepal 0.0% 2100 down 100.0% volatile
47 New Zealand 0.0% 2100 — volatile
47 Panama 0.0% 2100 down 100.0% volatile
47 Peru 0.0% 2100 down 100.0% volatile
47 Philippines 0.0% 2100 down 100.0% volatile
47 Poland 0.0% 2100 — volatile
47 Puerto Rico 0.0% 2100 — volatile
47 Portugal 0.0% 2100 — volatile
47 Palestine 0.0% 2100 — volatile
47 French Polynesia 0.0% 2100 — volatile
47 Romania 0.0% 2100 — volatile
47 Saudi Arabia 0.0% 2100 — volatile
47 Singapore 0.0% 2100 — volatile
47 Somalia 0.0% 2100 down 100.0% volatile
47 Serbia 0.0% 2100 — volatile
47 Suriname 0.0% 2100 — volatile
47 Slovenia 0.0% 2100 — volatile
47 Eswatini 0.0% 2100 down 100.0% volatile
47 Thailand 0.0% 2100 — volatile
47 Turkmenistan 0.0% 2100 — volatile
47 East Timor 0.0% 2100 — volatile
47 Tonga 0.0% 2100 — volatile
47 Trinidad and Tobago 0.0% 2100 — volatile
47 Tunisia 0.0% 2100 — volatile
47 Turkey 0.0% 2100 — volatile
47 Tanzania 0.0% 2100 — volatile
47 Ukraine 0.0% 2100 — volatile
47 Uruguay 0.0% 2100 — volatile
47 United States 0.0% 2100 — volatile
47 Saint Vincent and the Grenadines 0.0% 2100 — volatile
47 Venezuela 0.0% 2100 down 100.0% volatile
47 Samoa 0.0% 2100 — volatile
47 South Africa 0.0% 2100 — volatile
47 Zambia 0.0% 2100 — volatile
47 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.

Share, cite or embed this page

Cite this page

Wittgenstein Projection: Percentage of the population age 60+ 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-60-by-highest-level-of-17/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

<a href="https://reference.statizoid.com/stat/wittgenstein-projection-percentage-of-the-population-age-60-by-highest-level-of-17/">Wittgenstein Projection: Percentage of the population age 60+ by by country</a> — Statizoid

About this data

Indicator
Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. Incomplete Primary. 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 pre-primary education or incomplete primary education as the highest level of educational attainment. 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/