Wittgenstein Projection: Percentage of the population age 25+ 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...
Countries reporting
147
Highest
0.1%
Mali
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 25+ by highest level of educational attainment. No Education. Female is currently reported for 147 countries. The highest value is 0.1% 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 25+ by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mali | 0.1% | 2100 | down 26.3% | falling |
| 1 | Chad | 0.1% | 2100 | down 26.3% | falling |
| 3 | Burkina Faso | 0.1% | 2100 | down 26.7% | volatile |
| 3 | Niger | 0.1% | 2100 | down 31.2% | volatile |
| 5 | Liberia | 0.1% | 2100 | down 33.3% | volatile |
| 6 | Mozambique | 0.1% | 2100 | down 33.3% | volatile |
| 7 | Benin | 0.1% | 2100 | down 33.3% | volatile |
| 7 | Guinea | 0.1% | 2100 | down 40.0% | volatile |
| 7 | Sierra Leone | 0.1% | 2100 | down 33.3% | volatile |
| 10 | Pakistan | 0.1% | 2100 | down 37.5% | volatile |
| 10 | Senegal | 0.1% | 2100 | down 28.6% | volatile |
| 12 | Guinea-Bissau | 0.0% | 2100 | down 33.3% | volatile |
| 12 | Madagascar | 0.0% | 2100 | down 20.0% | volatile |
| 12 | Sudan | 0.0% | 2100 | down 33.3% | volatile |
| 15 | Burundi | 0.0% | 2100 | down 25.0% | volatile |
| 15 | Ethiopia | 0.0% | 2100 | down 40.0% | volatile |
| 17 | Bangladesh | 0.0% | 2100 | down 33.3% | volatile |
| 17 | Bhutan | 0.0% | 2100 | down 50.0% | volatile |
| 17 | Ghana | 0.0% | 2100 | down 33.3% | volatile |
| 17 | Gambia | 0.0% | 2100 | down 33.3% | volatile |
| 17 | Guatemala | 0.0% | 2100 | down 33.3% | volatile |
| 17 | India | 0.0% | 2100 | down 50.0% | volatile |
| 17 | Somalia | 0.0% | 2100 | down 50.0% | volatile |
| 24 | Belize | 0.0% | 2100 | unchanged | volatile |
| 24 | Côte d'Ivoire | 0.0% | 2100 | down 66.7% | volatile |
| 24 | Egypt | 0.0% | 2100 | unchanged | volatile |
| 24 | Honduras | 0.0% | 2100 | unchanged | volatile |
| 24 | Cambodia | 0.0% | 2100 | down 50.0% | volatile |
| 24 | Lao People's Democratic Republic | 0.0% | 2100 | unchanged | volatile |
| 24 | Morocco | 0.0% | 2100 | down 66.7% | volatile |
| 24 | Malawi | 0.0% | 2100 | down 50.0% | volatile |
| 24 | Nicaragua | 0.0% | 2100 | down 50.0% | volatile |
| 24 | Nepal | 0.0% | 2100 | down 66.7% | volatile |
| 24 | Rwanda | 0.0% | 2100 | down 50.0% | volatile |
| 24 | El Salvador | 0.0% | 2100 | unchanged | volatile |
| 24 | Syria | 0.0% | 2100 | unchanged | volatile |
| 24 | Uganda | 0.0% | 2100 | unchanged | volatile |
| 38 | Aruba | 0.0% | 2100 | — | volatile |
| 38 | Albania | 0.0% | 2100 | — | volatile |
| 38 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 38 | Argentina | 0.0% | 2100 | — | volatile |
| 38 | Armenia | 0.0% | 2100 | — | volatile |
| 38 | Australia | 0.0% | 2100 | — | volatile |
| 38 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 38 | Belgium | 0.0% | 2100 | — | volatile |
| 38 | Bulgaria | 0.0% | 2100 | — | volatile |
| 38 | Bahrain | 0.0% | 2100 | — | volatile |
| 38 | Bahamas | 0.0% | 2100 | — | volatile |
| 38 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 38 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 38 | Brazil | 0.0% | 2100 | — | volatile |
| 38 | Central African Republic | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Canada | 0.0% | 2100 | — | volatile |
| 38 | Chile | 0.0% | 2100 | — | volatile |
| 38 | China | 0.0% | 2100 | — | volatile |
| 38 | Cameroon | 0.0% | 2100 | — | volatile |
| 38 | Congo, Democratic Republic of the | 0.0% | 2100 | — | volatile |
| 38 | Congo | 0.0% | 2100 | — | volatile |
| 38 | Colombia | 0.0% | 2100 | — | volatile |
| 38 | Comoros | 0.0% | 2100 | — | volatile |
| 38 | Cape Verde | 0.0% | 2100 | — | volatile |
| 38 | Costa Rica | 0.0% | 2100 | — | volatile |
| 38 | Cuba | 0.0% | 2100 | — | volatile |
| 38 | Cyprus | 0.0% | 2100 | — | volatile |
| 38 | Germany | 0.0% | 2100 | — | volatile |
| 38 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 38 | Algeria | 0.0% | 2100 | — | volatile |
| 38 | Ecuador | 0.0% | 2100 | — | volatile |
| 38 | Spain | 0.0% | 2100 | — | volatile |
| 38 | France | 0.0% | 2100 | — | volatile |
| 38 | Gabon | 0.0% | 2100 | — | volatile |
| 38 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | — | volatile |
| 38 | Equatorial Guinea | 0.0% | 2100 | — | volatile |
| 38 | Greece | 0.0% | 2100 | — | volatile |
| 38 | Guyana | 0.0% | 2100 | — | volatile |
| 38 | Hong Kong | 0.0% | 2100 | — | volatile |
| 38 | Croatia | 0.0% | 2100 | — | volatile |
| 38 | Haiti | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Hungary | 0.0% | 2100 | — | volatile |
| 38 | Indonesia | 0.0% | 2100 | — | volatile |
| 38 | Iran, Islamic Republic of | 0.0% | 2100 | — | volatile |
| 38 | Iraq | 0.0% | 2100 | — | volatile |
| 38 | Israel | 0.0% | 2100 | — | volatile |
| 38 | Italy | 0.0% | 2100 | — | volatile |
| 38 | Jamaica | 0.0% | 2100 | — | volatile |
| 38 | Jordan | 0.0% | 2100 | — | volatile |
| 38 | Kenya | 0.0% | 2100 | — | volatile |
| 38 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 38 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 38 | Kuwait | 0.0% | 2100 | — | volatile |
| 38 | Lebanon | 0.0% | 2100 | — | volatile |
| 38 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 38 | Lesotho | 0.0% | 2100 | — | volatile |
| 38 | Luxembourg | 0.0% | 2100 | — | volatile |
| 38 | Latvia | 0.0% | 2100 | — | volatile |
| 38 | Macao | 0.0% | 2100 | — | volatile |
| 38 | Maldives | 0.0% | 2100 | — | volatile |
| 38 | Mexico | 0.0% | 2100 | — | volatile |
| 38 | North Macedonia | 0.0% | 2100 | — | volatile |
| 38 | Malta | 0.0% | 2100 | — | volatile |
| 38 | Myanmar | 0.0% | 2100 | — | volatile |
| 38 | Montenegro | 0.0% | 2100 | — | volatile |
| 38 | Mongolia | 0.0% | 2100 | — | volatile |
| 38 | Mauritius | 0.0% | 2100 | — | volatile |
| 38 | Malaysia | 0.0% | 2100 | — | volatile |
| 38 | Namibia | 0.0% | 2100 | — | volatile |
| 38 | New Caledonia | 0.0% | 2100 | — | volatile |
| 38 | Nigeria | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Netherlands | 0.0% | 2100 | — | volatile |
| 38 | New Zealand | 0.0% | 2100 | — | volatile |
| 38 | Panama | 0.0% | 2100 | — | volatile |
| 38 | Peru | 0.0% | 2100 | — | volatile |
| 38 | Philippines | 0.0% | 2100 | — | volatile |
| 38 | Poland | 0.0% | 2100 | — | volatile |
| 38 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 38 | Portugal | 0.0% | 2100 | — | volatile |
| 38 | Paraguay | 0.0% | 2100 | — | volatile |
| 38 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 38 | French Polynesia | 0.0% | 2100 | — | volatile |
| 38 | Qatar | 0.0% | 2100 | — | volatile |
| 38 | Romania | 0.0% | 2100 | — | volatile |
| 38 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 38 | Singapore | 0.0% | 2100 | — | volatile |
| 38 | Serbia | 0.0% | 2100 | — | volatile |
| 38 | Sao Tome and Principe | 0.0% | 2100 | — | volatile |
| 38 | Suriname | 0.0% | 2100 | — | volatile |
| 38 | Slovenia | 0.0% | 2100 | — | volatile |
| 38 | Eswatini | 0.0% | 2100 | — | volatile |
| 38 | Thailand | 0.0% | 2100 | — | volatile |
| 38 | Tajikistan | 0.0% | 2100 | — | volatile |
| 38 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 38 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 38 | Tonga | 0.0% | 2100 | — | volatile |
| 38 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 38 | Tunisia | 0.0% | 2100 | — | volatile |
| 38 | Türkiye | 0.0% | 2100 | — | volatile |
| 38 | Tanzania, United Republic of | 0.0% | 2100 | — | volatile |
| 38 | Uruguay | 0.0% | 2100 | — | volatile |
| 38 | United States of America | 0.0% | 2100 | — | volatile |
| 38 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 38 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 38 | Viet Nam | 0.0% | 2100 | — | volatile |
| 38 | Vanuatu | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Samoa | 0.0% | 2100 | — | volatile |
| 38 | South Africa | 0.0% | 2100 | — | volatile |
| 38 | Zambia | 0.0% | 2100 | — | volatile |
| 38 | 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/