Wittgenstein Projection: Percentage of the population age 60+ 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...
What the numbers show
Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. No Education. Female is currently reported for 153 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 60+ by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mali | 0.3% | 2100 | down 27.8% | falling |
| 2 | Niger | 0.2% | 2100 | down 28.6% | falling |
| 2 | Chad | 0.2% | 2100 | down 24.2% | falling |
| 4 | Burkina Faso | 0.2% | 2100 | down 30.0% | falling |
| 5 | Liberia | 0.2% | 2100 | down 33.3% | falling |
| 6 | Mozambique | 0.2% | 2100 | down 32.0% | falling |
| 7 | Guinea | 0.1% | 2100 | down 40.9% | falling |
| 8 | Benin | 0.1% | 2100 | down 29.4% | volatile |
| 8 | Sierra Leone | 0.1% | 2100 | down 36.8% | falling |
| 10 | Senegal | 0.1% | 2100 | down 33.3% | volatile |
| 11 | Pakistan | 0.1% | 2100 | down 40.0% | volatile |
| 12 | Guinea-Bissau | 0.1% | 2100 | down 38.5% | volatile |
| 12 | Sudan | 0.1% | 2100 | down 38.5% | volatile |
| 14 | Ethiopia | 0.1% | 2100 | down 36.4% | volatile |
| 15 | Burundi | 0.1% | 2100 | down 33.3% | volatile |
| 15 | Madagascar | 0.1% | 2100 | down 33.3% | volatile |
| 17 | Somalia | 0.1% | 2100 | down 44.4% | volatile |
| 18 | Bhutan | 0.0% | 2100 | down 50.0% | volatile |
| 18 | Ghana | 0.0% | 2100 | down 33.3% | volatile |
| 18 | Gambia | 0.0% | 2100 | down 42.9% | volatile |
| 18 | Guatemala | 0.0% | 2100 | down 33.3% | volatile |
| 18 | India | 0.0% | 2100 | down 42.9% | volatile |
| 23 | Bangladesh | 0.0% | 2100 | down 40.0% | volatile |
| 23 | Côte d'Ivoire | 0.0% | 2100 | down 57.1% | volatile |
| 23 | Malawi | 0.0% | 2100 | down 25.0% | volatile |
| 23 | Nepal | 0.0% | 2100 | down 50.0% | volatile |
| 23 | Rwanda | 0.0% | 2100 | down 25.0% | volatile |
| 28 | Cambodia | 0.0% | 2100 | down 33.3% | volatile |
| 28 | Morocco | 0.0% | 2100 | down 60.0% | volatile |
| 28 | Nicaragua | 0.0% | 2100 | down 33.3% | volatile |
| 28 | Uganda | 0.0% | 2100 | down 33.3% | volatile |
| 32 | Belize | 0.0% | 2100 | down 50.0% | 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 | Haiti | 0.0% | 2100 | unchanged | volatile |
| 32 | Lao People's Democratic Republic | 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 |
| 42 | Aruba | 0.0% | 2100 | — | volatile |
| 42 | Albania | 0.0% | 2100 | — | volatile |
| 42 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 42 | Argentina | 0.0% | 2100 | — | volatile |
| 42 | Armenia | 0.0% | 2100 | — | volatile |
| 42 | Australia | 0.0% | 2100 | — | volatile |
| 42 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 42 | Belgium | 0.0% | 2100 | — | volatile |
| 42 | Bulgaria | 0.0% | 2100 | — | volatile |
| 42 | Bahrain | 0.0% | 2100 | — | volatile |
| 42 | Bahamas | 0.0% | 2100 | — | volatile |
| 42 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 42 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 42 | Brazil | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Canada | 0.0% | 2100 | — | volatile |
| 42 | Chile | 0.0% | 2100 | — | volatile |
| 42 | China | 0.0% | 2100 | — | volatile |
| 42 | Cameroon | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Congo, Democratic Republic of the | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Congo | 0.0% | 2100 | — | volatile |
| 42 | Colombia | 0.0% | 2100 | — | volatile |
| 42 | Comoros | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Cape Verde | 0.0% | 2100 | — | volatile |
| 42 | Costa Rica | 0.0% | 2100 | — | volatile |
| 42 | Cuba | 0.0% | 2100 | — | volatile |
| 42 | Cyprus | 0.0% | 2100 | — | volatile |
| 42 | Czechia | 0.0% | 2100 | — | volatile |
| 42 | Germany | 0.0% | 2100 | — | volatile |
| 42 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 42 | Algeria | 0.0% | 2100 | — | volatile |
| 42 | Ecuador | 0.0% | 2100 | — | volatile |
| 42 | Spain | 0.0% | 2100 | — | volatile |
| 42 | France | 0.0% | 2100 | — | volatile |
| 42 | Gabon | 0.0% | 2100 | — | volatile |
| 42 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | — | volatile |
| 42 | Georgia | 0.0% | 2100 | — | volatile |
| 42 | Equatorial Guinea | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Greece | 0.0% | 2100 | — | volatile |
| 42 | Guyana | 0.0% | 2100 | — | volatile |
| 42 | Hong Kong | 0.0% | 2100 | — | volatile |
| 42 | Croatia | 0.0% | 2100 | — | volatile |
| 42 | Hungary | 0.0% | 2100 | — | volatile |
| 42 | Indonesia | 0.0% | 2100 | — | volatile |
| 42 | Ireland | 0.0% | 2100 | — | volatile |
| 42 | Iran | 0.0% | 2100 | — | volatile |
| 42 | Iraq | 0.0% | 2100 | — | volatile |
| 42 | Israel | 0.0% | 2100 | — | volatile |
| 42 | Italy | 0.0% | 2100 | — | volatile |
| 42 | Jamaica | 0.0% | 2100 | — | volatile |
| 42 | Jordan | 0.0% | 2100 | — | volatile |
| 42 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 42 | Kenya | 0.0% | 2100 | — | volatile |
| 42 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 42 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 42 | Kuwait | 0.0% | 2100 | — | volatile |
| 42 | Lebanon | 0.0% | 2100 | — | volatile |
| 42 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 42 | Lesotho | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Luxembourg | 0.0% | 2100 | — | volatile |
| 42 | Latvia | 0.0% | 2100 | — | volatile |
| 42 | Macao | 0.0% | 2100 | — | volatile |
| 42 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 42 | Maldives | 0.0% | 2100 | — | volatile |
| 42 | Mexico | 0.0% | 2100 | — | volatile |
| 42 | North Macedonia | 0.0% | 2100 | — | volatile |
| 42 | Malta | 0.0% | 2100 | — | volatile |
| 42 | Myanmar | 0.0% | 2100 | — | volatile |
| 42 | Montenegro | 0.0% | 2100 | — | volatile |
| 42 | Mongolia | 0.0% | 2100 | — | volatile |
| 42 | Mauritius | 0.0% | 2100 | — | volatile |
| 42 | Malaysia | 0.0% | 2100 | — | volatile |
| 42 | Namibia | 0.0% | 2100 | — | volatile |
| 42 | New Caledonia | 0.0% | 2100 | — | volatile |
| 42 | Netherlands | 0.0% | 2100 | — | volatile |
| 42 | New Zealand | 0.0% | 2100 | — | volatile |
| 42 | Panama | 0.0% | 2100 | — | volatile |
| 42 | Peru | 0.0% | 2100 | — | volatile |
| 42 | Philippines | 0.0% | 2100 | — | volatile |
| 42 | Poland | 0.0% | 2100 | — | volatile |
| 42 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 42 | Portugal | 0.0% | 2100 | — | volatile |
| 42 | Paraguay | 0.0% | 2100 | — | volatile |
| 42 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 42 | French Polynesia | 0.0% | 2100 | — | volatile |
| 42 | Qatar | 0.0% | 2100 | — | volatile |
| 42 | Romania | 0.0% | 2100 | — | volatile |
| 42 | Russian Federation | 0.0% | 2100 | — | volatile |
| 42 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 42 | Singapore | 0.0% | 2100 | — | volatile |
| 42 | Serbia | 0.0% | 2100 | — | volatile |
| 42 | Sao Tome and Principe | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Suriname | 0.0% | 2100 | — | volatile |
| 42 | Slovenia | 0.0% | 2100 | — | volatile |
| 42 | Eswatini | 0.0% | 2100 | — | volatile |
| 42 | Thailand | 0.0% | 2100 | — | volatile |
| 42 | Tajikistan | 0.0% | 2100 | — | volatile |
| 42 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 42 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 42 | Tonga | 0.0% | 2100 | — | volatile |
| 42 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 42 | Tunisia | 0.0% | 2100 | — | volatile |
| 42 | Türkiye | 0.0% | 2100 | — | volatile |
| 42 | Tanzania, United Republic of | 0.0% | 2100 | — | volatile |
| 42 | Uruguay | 0.0% | 2100 | — | volatile |
| 42 | United States | 0.0% | 2100 | — | volatile |
| 42 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 42 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 42 | Viet Nam | 0.0% | 2100 | down 100.0% | volatile |
| 42 | Samoa | 0.0% | 2100 | — | volatile |
| 42 | South Africa | 0.0% | 2100 | — | volatile |
| 42 | Zambia | 0.0% | 2100 | — | volatile |
| 42 | 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/