Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. No Education. Total 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...
What the numbers show
Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. No Education. Total is currently reported for 150 countries. The highest value is 0.2% 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 60+ by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mali | 0.2% | 2100 | down 26.5% | falling |
| 2 | Niger | 0.2% | 2100 | down 27.3% | falling |
| 2 | Chad | 0.2% | 2100 | down 20.0% | falling |
| 4 | Burkina Faso | 0.2% | 2100 | down 28.6% | falling |
| 5 | Liberia | 0.2% | 2100 | down 29.6% | falling |
| 6 | Mozambique | 0.2% | 2100 | down 30.4% | falling |
| 7 | Guinea | 0.1% | 2100 | down 36.8% | falling |
| 8 | Benin | 0.1% | 2100 | down 31.2% | volatile |
| 8 | Sierra Leone | 0.1% | 2100 | down 35.3% | falling |
| 10 | Senegal | 0.1% | 2100 | down 35.7% | volatile |
| 11 | Pakistan | 0.1% | 2100 | down 38.5% | volatile |
| 12 | Guinea-Bissau | 0.1% | 2100 | down 36.4% | volatile |
| 12 | Sudan | 0.1% | 2100 | down 41.7% | volatile |
| 14 | Ethiopia | 0.1% | 2100 | down 40.0% | volatile |
| 14 | Madagascar | 0.1% | 2100 | down 25.0% | volatile |
| 16 | Burundi | 0.1% | 2100 | down 37.5% | volatile |
| 17 | Gambia | 0.0% | 2100 | down 33.3% | volatile |
| 17 | Somalia | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Bangladesh | 0.0% | 2100 | down 40.0% | volatile |
| 19 | Bhutan | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Cote d'Ivoire | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Ghana | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Guatemala | 0.0% | 2100 | down 40.0% | volatile |
| 19 | India | 0.0% | 2100 | down 50.0% | volatile |
| 25 | Cambodia | 0.0% | 2100 | down 33.3% | volatile |
| 25 | Morocco | 0.0% | 2100 | down 50.0% | volatile |
| 25 | Malawi | 0.0% | 2100 | down 50.0% | volatile |
| 25 | Nicaragua | 0.0% | 2100 | down 33.3% | volatile |
| 25 | Nepal | 0.0% | 2100 | down 50.0% | volatile |
| 25 | Rwanda | 0.0% | 2100 | down 50.0% | volatile |
| 25 | Uganda | 0.0% | 2100 | down 33.3% | volatile |
| 32 | Belize | 0.0% | 2100 | unchanged | volatile |
| 32 | Central African Republic | 0.0% | 2100 | down 50.0% | volatile |
| 32 | Egypt | 0.0% | 2100 | down 50.0% | volatile |
| 32 | Honduras | 0.0% | 2100 | down 50.0% | volatile |
| 32 | Laos | 0.0% | 2100 | down 50.0% | volatile |
| 32 | Nigeria | 0.0% | 2100 | down 50.0% | volatile |
| 32 | El Salvador | 0.0% | 2100 | down 50.0% | volatile |
| 32 | Syria | 0.0% | 2100 | down 50.0% | volatile |
| 32 | Vanuatu | 0.0% | 2100 | unchanged | volatile |
| 41 | Aruba | 0.0% | 2100 | — | volatile |
| 41 | Albania | 0.0% | 2100 | — | volatile |
| 41 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 41 | Argentina | 0.0% | 2100 | — | volatile |
| 41 | Armenia | 0.0% | 2100 | — | volatile |
| 41 | Australia | 0.0% | 2100 | — | volatile |
| 41 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 41 | Belgium | 0.0% | 2100 | — | volatile |
| 41 | Bulgaria | 0.0% | 2100 | — | volatile |
| 41 | Bahrain | 0.0% | 2100 | — | volatile |
| 41 | Bahamas | 0.0% | 2100 | — | volatile |
| 41 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 41 | Bolivia | 0.0% | 2100 | — | volatile |
| 41 | Brazil | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Canada | 0.0% | 2100 | — | volatile |
| 41 | Chile | 0.0% | 2100 | — | volatile |
| 41 | China | 0.0% | 2100 | — | volatile |
| 41 | Cameroon | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Democratic Republic of Congo | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Congo | 0.0% | 2100 | — | volatile |
| 41 | Colombia | 0.0% | 2100 | — | volatile |
| 41 | Comoros | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Cape Verde | 0.0% | 2100 | — | volatile |
| 41 | Costa Rica | 0.0% | 2100 | — | volatile |
| 41 | Cuba | 0.0% | 2100 | — | volatile |
| 41 | Cyprus | 0.0% | 2100 | — | volatile |
| 41 | Germany | 0.0% | 2100 | — | volatile |
| 41 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 41 | Algeria | 0.0% | 2100 | — | volatile |
| 41 | Ecuador | 0.0% | 2100 | — | volatile |
| 41 | Spain | 0.0% | 2100 | — | volatile |
| 41 | France | 0.0% | 2100 | — | volatile |
| 41 | Gabon | 0.0% | 2100 | — | volatile |
| 41 | United Kingdom | 0.0% | 2100 | — | volatile |
| 41 | Equatorial Guinea | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Greece | 0.0% | 2100 | — | volatile |
| 41 | Guyana | 0.0% | 2100 | — | volatile |
| 41 | Hong Kong | 0.0% | 2100 | — | volatile |
| 41 | Croatia | 0.0% | 2100 | — | volatile |
| 41 | Haiti | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Hungary | 0.0% | 2100 | — | volatile |
| 41 | Indonesia | 0.0% | 2100 | — | volatile |
| 41 | Ireland | 0.0% | 2100 | — | volatile |
| 41 | Iran | 0.0% | 2100 | — | volatile |
| 41 | Iraq | 0.0% | 2100 | — | volatile |
| 41 | Israel | 0.0% | 2100 | — | volatile |
| 41 | Italy | 0.0% | 2100 | — | volatile |
| 41 | Jamaica | 0.0% | 2100 | — | volatile |
| 41 | Jordan | 0.0% | 2100 | — | volatile |
| 41 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 41 | Kenya | 0.0% | 2100 | — | volatile |
| 41 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 41 | South Korea | 0.0% | 2100 | — | volatile |
| 41 | Kuwait | 0.0% | 2100 | — | volatile |
| 41 | Lebanon | 0.0% | 2100 | — | volatile |
| 41 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 41 | Lesotho | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Luxembourg | 0.0% | 2100 | — | volatile |
| 41 | Latvia | 0.0% | 2100 | — | volatile |
| 41 | Macao | 0.0% | 2100 | — | volatile |
| 41 | Moldova | 0.0% | 2100 | — | volatile |
| 41 | Maldives | 0.0% | 2100 | — | volatile |
| 41 | Mexico | 0.0% | 2100 | — | volatile |
| 41 | North Macedonia | 0.0% | 2100 | — | volatile |
| 41 | Malta | 0.0% | 2100 | — | volatile |
| 41 | Myanmar | 0.0% | 2100 | — | volatile |
| 41 | Montenegro | 0.0% | 2100 | — | volatile |
| 41 | Mongolia | 0.0% | 2100 | — | volatile |
| 41 | Mauritius | 0.0% | 2100 | — | volatile |
| 41 | Malaysia | 0.0% | 2100 | — | volatile |
| 41 | Namibia | 0.0% | 2100 | — | volatile |
| 41 | New Caledonia | 0.0% | 2100 | — | volatile |
| 41 | Netherlands | 0.0% | 2100 | — | volatile |
| 41 | New Zealand | 0.0% | 2100 | — | volatile |
| 41 | Panama | 0.0% | 2100 | — | volatile |
| 41 | Peru | 0.0% | 2100 | — | volatile |
| 41 | Philippines | 0.0% | 2100 | — | volatile |
| 41 | Poland | 0.0% | 2100 | — | volatile |
| 41 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 41 | Portugal | 0.0% | 2100 | — | volatile |
| 41 | Paraguay | 0.0% | 2100 | — | volatile |
| 41 | Palestine | 0.0% | 2100 | — | volatile |
| 41 | French Polynesia | 0.0% | 2100 | — | volatile |
| 41 | Qatar | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Romania | 0.0% | 2100 | — | volatile |
| 41 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 41 | Singapore | 0.0% | 2100 | — | volatile |
| 41 | Serbia | 0.0% | 2100 | — | volatile |
| 41 | Sao Tome and Principe | 0.0% | 2100 | — | volatile |
| 41 | Suriname | 0.0% | 2100 | — | volatile |
| 41 | Slovenia | 0.0% | 2100 | — | volatile |
| 41 | Eswatini | 0.0% | 2100 | — | volatile |
| 41 | Thailand | 0.0% | 2100 | — | volatile |
| 41 | Tajikistan | 0.0% | 2100 | — | volatile |
| 41 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 41 | East Timor | 0.0% | 2100 | — | volatile |
| 41 | Tonga | 0.0% | 2100 | — | volatile |
| 41 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 41 | Tunisia | 0.0% | 2100 | — | volatile |
| 41 | Turkey | 0.0% | 2100 | — | volatile |
| 41 | Tanzania | 0.0% | 2100 | — | volatile |
| 41 | Uruguay | 0.0% | 2100 | — | volatile |
| 41 | United States | 0.0% | 2100 | — | volatile |
| 41 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 41 | Venezuela | 0.0% | 2100 | — | volatile |
| 41 | Vietnam | 0.0% | 2100 | down 100.0% | volatile |
| 41 | Samoa | 0.0% | 2100 | — | volatile |
| 41 | South Africa | 0.0% | 2100 | — | volatile |
| 41 | Zambia | 0.0% | 2100 | — | volatile |
| 41 | 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.
- World 0.0%
About this data
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/