Wittgenstein Projection: Percentage of the population age 80+ 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 80+ by highest level of educational attainment. No Education. Female is currently reported for 157 countries. The highest value is 0.4% 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 | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mali | 0.4% | 2100 | down 24.0% | falling |
| 1 | Niger | 0.4% | 2100 | down 24.0% | falling |
| 3 | Chad | 0.3% | 2100 | down 20.5% | falling |
| 4 | Burkina Faso | 0.3% | 2100 | down 25.6% | falling |
| 5 | Liberia | 0.3% | 2100 | down 29.5% | falling |
| 6 | Mozambique | 0.3% | 2100 | down 27.0% | falling |
| 7 | Guinea | 0.2% | 2100 | down 34.3% | falling |
| 8 | Sierra Leone | 0.2% | 2100 | down 31.0% | falling |
| 9 | Benin | 0.2% | 2100 | down 28.0% | falling |
| 10 | Pakistan | 0.1% | 2100 | down 34.8% | falling |
| 10 | Senegal | 0.1% | 2100 | down 34.8% | falling |
| 12 | Guinea-Bissau | 0.1% | 2100 | down 39.1% | falling |
| 13 | Sudan | 0.1% | 2100 | down 40.9% | falling |
| 14 | Ethiopia | 0.1% | 2100 | down 36.8% | volatile |
| 15 | Somalia | 0.1% | 2100 | down 42.1% | falling |
| 16 | Burundi | 0.1% | 2100 | down 40.0% | volatile |
| 16 | Madagascar | 0.1% | 2100 | down 25.0% | volatile |
| 18 | Gambia | 0.1% | 2100 | down 42.9% | volatile |
| 19 | Bhutan | 0.1% | 2100 | down 46.2% | volatile |
| 19 | Côte d'Ivoire | 0.1% | 2100 | down 46.2% | volatile |
| 21 | Ghana | 0.1% | 2100 | down 45.5% | volatile |
| 21 | Guatemala | 0.1% | 2100 | down 33.3% | volatile |
| 21 | India | 0.1% | 2100 | down 45.5% | volatile |
| 24 | Malawi | 0.1% | 2100 | down 37.5% | volatile |
| 24 | Nepal | 0.1% | 2100 | down 50.0% | volatile |
| 26 | Bangladesh | 0.0% | 2100 | down 33.3% | volatile |
| 26 | Morocco | 0.0% | 2100 | down 55.6% | volatile |
| 26 | Rwanda | 0.0% | 2100 | down 42.9% | volatile |
| 26 | Uganda | 0.0% | 2100 | down 42.9% | volatile |
| 30 | Central African Republic | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Cambodia | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Nigeria | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Nicaragua | 0.0% | 2100 | down 40.0% | volatile |
| 34 | Egypt | 0.0% | 2100 | down 50.0% | volatile |
| 34 | Honduras | 0.0% | 2100 | down 33.3% | volatile |
| 34 | Lao People's Democratic Republic | 0.0% | 2100 | down 50.0% | volatile |
| 34 | El Salvador | 0.0% | 2100 | down 33.3% | volatile |
| 34 | Syria | 0.0% | 2100 | down 33.3% | volatile |
| 39 | Belize | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Brazil | 0.0% | 2100 | unchanged | volatile |
| 39 | Cameroon | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Congo, Democratic Republic of the | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Comoros | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Equatorial Guinea | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Haiti | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Lesotho | 0.0% | 2100 | unchanged | volatile |
| 39 | Sao Tome and Principe | 0.0% | 2100 | unchanged | volatile |
| 39 | Viet Nam | 0.0% | 2100 | unchanged | volatile |
| 39 | Vanuatu | 0.0% | 2100 | down 50.0% | volatile |
| 50 | Aruba | 0.0% | 2100 | — | volatile |
| 50 | Albania | 0.0% | 2100 | — | volatile |
| 50 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 50 | Argentina | 0.0% | 2100 | — | volatile |
| 50 | Armenia | 0.0% | 2100 | — | volatile |
| 50 | Australia | 0.0% | 2100 | — | volatile |
| 50 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 50 | Belgium | 0.0% | 2100 | — | volatile |
| 50 | Bulgaria | 0.0% | 2100 | — | volatile |
| 50 | Bahrain | 0.0% | 2100 | — | volatile |
| 50 | Bahamas | 0.0% | 2100 | — | volatile |
| 50 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 50 | Belarus | 0.0% | 2100 | — | volatile |
| 50 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 50 | Canada | 0.0% | 2100 | — | volatile |
| 50 | Chile | 0.0% | 2100 | — | volatile |
| 50 | China | 0.0% | 2100 | — | volatile |
| 50 | Congo | 0.0% | 2100 | — | volatile |
| 50 | Colombia | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Cape Verde | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Costa Rica | 0.0% | 2100 | — | volatile |
| 50 | Cuba | 0.0% | 2100 | — | volatile |
| 50 | Cyprus | 0.0% | 2100 | — | volatile |
| 50 | Czechia | 0.0% | 2100 | — | volatile |
| 50 | Germany | 0.0% | 2100 | — | volatile |
| 50 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 50 | Algeria | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Ecuador | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Spain | 0.0% | 2100 | — | volatile |
| 50 | France | 0.0% | 2100 | — | volatile |
| 50 | Gabon | 0.0% | 2100 | — | volatile |
| 50 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | — | volatile |
| 50 | Georgia | 0.0% | 2100 | — | volatile |
| 50 | Greece | 0.0% | 2100 | — | volatile |
| 50 | Guyana | 0.0% | 2100 | — | volatile |
| 50 | Hong Kong | 0.0% | 2100 | — | volatile |
| 50 | Croatia | 0.0% | 2100 | — | volatile |
| 50 | Hungary | 0.0% | 2100 | — | volatile |
| 50 | Indonesia | 0.0% | 2100 | — | volatile |
| 50 | Ireland | 0.0% | 2100 | — | volatile |
| 50 | Iran | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Iraq | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Israel | 0.0% | 2100 | — | volatile |
| 50 | Italy | 0.0% | 2100 | — | volatile |
| 50 | Jamaica | 0.0% | 2100 | — | volatile |
| 50 | Jordan | 0.0% | 2100 | — | volatile |
| 50 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 50 | Kenya | 0.0% | 2100 | — | volatile |
| 50 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 50 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 50 | Kuwait | 0.0% | 2100 | — | volatile |
| 50 | Lebanon | 0.0% | 2100 | — | volatile |
| 50 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 50 | Lithuania | 0.0% | 2100 | — | volatile |
| 50 | Luxembourg | 0.0% | 2100 | — | volatile |
| 50 | Latvia | 0.0% | 2100 | — | volatile |
| 50 | Macao | 0.0% | 2100 | — | volatile |
| 50 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 50 | Maldives | 0.0% | 2100 | — | volatile |
| 50 | Mexico | 0.0% | 2100 | down 100.0% | volatile |
| 50 | North Macedonia | 0.0% | 2100 | — | volatile |
| 50 | Malta | 0.0% | 2100 | — | volatile |
| 50 | Myanmar | 0.0% | 2100 | — | volatile |
| 50 | Montenegro | 0.0% | 2100 | — | volatile |
| 50 | Mongolia | 0.0% | 2100 | — | volatile |
| 50 | Mauritius | 0.0% | 2100 | — | volatile |
| 50 | Malaysia | 0.0% | 2100 | — | volatile |
| 50 | Namibia | 0.0% | 2100 | down 100.0% | volatile |
| 50 | New Caledonia | 0.0% | 2100 | — | volatile |
| 50 | Netherlands | 0.0% | 2100 | down 100.0% | volatile |
| 50 | New Zealand | 0.0% | 2100 | — | volatile |
| 50 | Panama | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Peru | 0.0% | 2100 | — | volatile |
| 50 | Philippines | 0.0% | 2100 | — | volatile |
| 50 | Poland | 0.0% | 2100 | — | volatile |
| 50 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 50 | Portugal | 0.0% | 2100 | — | volatile |
| 50 | Paraguay | 0.0% | 2100 | — | volatile |
| 50 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 50 | French Polynesia | 0.0% | 2100 | — | volatile |
| 50 | Qatar | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Romania | 0.0% | 2100 | — | volatile |
| 50 | Russian Federation | 0.0% | 2100 | — | volatile |
| 50 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 50 | Singapore | 0.0% | 2100 | — | volatile |
| 50 | Serbia | 0.0% | 2100 | — | volatile |
| 50 | Suriname | 0.0% | 2100 | — | volatile |
| 50 | Slovakia | 0.0% | 2100 | — | volatile |
| 50 | Slovenia | 0.0% | 2100 | — | volatile |
| 50 | Eswatini | 0.0% | 2100 | — | volatile |
| 50 | Thailand | 0.0% | 2100 | — | volatile |
| 50 | Tajikistan | 0.0% | 2100 | — | volatile |
| 50 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 50 | Timor-Leste | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Tonga | 0.0% | 2100 | — | volatile |
| 50 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 50 | Tunisia | 0.0% | 2100 | down 100.0% | volatile |
| 50 | Türkiye | 0.0% | 2100 | — | volatile |
| 50 | Tanzania, United Republic of | 0.0% | 2100 | — | volatile |
| 50 | Ukraine | 0.0% | 2100 | — | volatile |
| 50 | Uruguay | 0.0% | 2100 | — | volatile |
| 50 | United States | 0.0% | 2100 | — | volatile |
| 50 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 50 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 50 | Samoa | 0.0% | 2100 | — | volatile |
| 50 | South Africa | 0.0% | 2100 | — | volatile |
| 50 | Zambia | 0.0% | 2100 | — | volatile |
| 50 | 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/