Wittgenstein Projection: Percentage of the population age 80+ 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 80+ by highest level of educational attainment. No Education. Total 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 21.7% | falling |
| 2 | Niger | 0.3% | 2100 | down 22.2% | falling |
| 3 | Chad | 0.3% | 2100 | down 18.4% | falling |
| 4 | Burkina Faso | 0.3% | 2100 | down 25.6% | falling |
| 4 | Liberia | 0.3% | 2100 | down 27.5% | falling |
| 6 | Mozambique | 0.2% | 2100 | down 26.5% | falling |
| 7 | Guinea | 0.2% | 2100 | down 33.3% | falling |
| 8 | Sierra Leone | 0.2% | 2100 | down 30.8% | falling |
| 9 | Benin | 0.2% | 2100 | down 27.3% | falling |
| 10 | Senegal | 0.1% | 2100 | down 31.8% | falling |
| 11 | Pakistan | 0.1% | 2100 | down 35.0% | falling |
| 12 | Guinea-Bissau | 0.1% | 2100 | down 36.8% | volatile |
| 12 | Sudan | 0.1% | 2100 | down 40.0% | falling |
| 14 | Ethiopia | 0.1% | 2100 | down 37.5% | volatile |
| 15 | Burundi | 0.1% | 2100 | down 35.7% | volatile |
| 15 | Madagascar | 0.1% | 2100 | down 18.2% | volatile |
| 15 | Somalia | 0.1% | 2100 | down 43.8% | volatile |
| 18 | Gambia | 0.1% | 2100 | down 36.4% | volatile |
| 19 | Bhutan | 0.1% | 2100 | down 45.5% | volatile |
| 19 | Cote d'Ivoire | 0.1% | 2100 | down 45.5% | volatile |
| 19 | Ghana | 0.1% | 2100 | down 40.0% | volatile |
| 22 | Bangladesh | 0.1% | 2100 | down 16.7% | volatile |
| 22 | Guatemala | 0.1% | 2100 | down 37.5% | volatile |
| 22 | India | 0.1% | 2100 | down 44.4% | volatile |
| 25 | Malawi | 0.0% | 2100 | down 42.9% | volatile |
| 25 | Nepal | 0.0% | 2100 | down 50.0% | volatile |
| 25 | Rwanda | 0.0% | 2100 | down 42.9% | volatile |
| 25 | Uganda | 0.0% | 2100 | down 33.3% | volatile |
| 29 | Cambodia | 0.0% | 2100 | down 40.0% | volatile |
| 29 | Morocco | 0.0% | 2100 | down 57.1% | volatile |
| 29 | Nicaragua | 0.0% | 2100 | down 40.0% | volatile |
| 32 | Central African Republic | 0.0% | 2100 | down 60.0% | volatile |
| 32 | Egypt | 0.0% | 2100 | down 33.3% | volatile |
| 32 | Honduras | 0.0% | 2100 | down 33.3% | volatile |
| 32 | Laos | 0.0% | 2100 | down 33.3% | volatile |
| 32 | Nigeria | 0.0% | 2100 | down 60.0% | volatile |
| 32 | El Salvador | 0.0% | 2100 | down 33.3% | volatile |
| 32 | 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 | Democratic Republic of Congo | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Comoros | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Equatorial Guinea | 0.0% | 2100 | unchanged | volatile |
| 39 | Haiti | 0.0% | 2100 | down 50.0% | volatile |
| 39 | Lesotho | 0.0% | 2100 | unchanged | volatile |
| 39 | Qatar | 0.0% | 2100 | unchanged | volatile |
| 39 | Vietnam | 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 | 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 | — | 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 | 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 | South 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 | Moldova | 0.0% | 2100 | — | volatile |
| 50 | Maldives | 0.0% | 2100 | — | volatile |
| 50 | Mexico | 0.0% | 2100 | — | 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 | 0.0% | 2100 | — | volatile |
| 50 | French Polynesia | 0.0% | 2100 | — | volatile |
| 50 | Romania | 0.0% | 2100 | — | volatile |
| 50 | Russia | 0.0% | 2100 | — | volatile |
| 50 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 50 | Singapore | 0.0% | 2100 | — | volatile |
| 50 | Serbia | 0.0% | 2100 | — | volatile |
| 50 | Sao Tome and Principe | 0.0% | 2100 | down 100.0% | 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 | East Timor | 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 | — | volatile |
| 50 | Turkey | 0.0% | 2100 | — | volatile |
| 50 | Tanzania | 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 | 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/