Wittgenstein Projection: Percentage of the total population 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 total population by highest level of educational attainment. No Education. Female is currently reported for 138 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 total population by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Mali | 0.1% | 2100 | down 23.1% | falling |
| 1 | Chad | 0.1% | 2100 | down 23.1% | falling |
| 3 | Burkina Faso | 0.1% | 2100 | down 27.3% | falling |
| 3 | Liberia | 0.1% | 2100 | down 27.3% | falling |
| 3 | Niger | 0.1% | 2100 | down 20.0% | falling |
| 6 | Mozambique | 0.1% | 2100 | down 33.3% | falling |
| 7 | Benin | 0.1% | 2100 | down 28.6% | volatile |
| 7 | Guinea | 0.1% | 2100 | down 37.5% | volatile |
| 9 | Pakistan | 0.0% | 2100 | down 33.3% | volatile |
| 9 | Senegal | 0.0% | 2100 | down 20.0% | volatile |
| 9 | Sierra Leone | 0.0% | 2100 | down 33.3% | volatile |
| 12 | Guinea-Bissau | 0.0% | 2100 | down 25.0% | volatile |
| 12 | Madagascar | 0.0% | 2100 | down 25.0% | falling |
| 12 | Sudan | 0.0% | 2100 | down 25.0% | volatile |
| 15 | Burundi | 0.0% | 2100 | down 33.3% | volatile |
| 15 | Bangladesh | 0.0% | 2100 | unchanged | volatile |
| 15 | Bhutan | 0.0% | 2100 | down 33.3% | volatile |
| 15 | Ethiopia | 0.0% | 2100 | down 50.0% | volatile |
| 15 | Gambia | 0.0% | 2100 | down 33.3% | volatile |
| 15 | India | 0.0% | 2100 | down 33.3% | volatile |
| 15 | Somalia | 0.0% | 2100 | down 33.3% | volatile |
| 22 | Côte d'Ivoire | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Cape Verde | 0.0% | 2100 | unchanged | volatile |
| 22 | Ghana | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Guatemala | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Cambodia | 0.0% | 2100 | unchanged | volatile |
| 22 | Lao People's Democratic Republic | 0.0% | 2100 | unchanged | volatile |
| 22 | Morocco | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Malawi | 0.0% | 2100 | unchanged | volatile |
| 22 | Nicaragua | 0.0% | 2100 | unchanged | volatile |
| 22 | Nepal | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Rwanda | 0.0% | 2100 | unchanged | volatile |
| 22 | El Salvador | 0.0% | 2100 | unchanged | volatile |
| 22 | Syrian Arab Republic | 0.0% | 2100 | unchanged | volatile |
| 22 | Uganda | 0.0% | 2100 | unchanged | volatile |
| 36 | Aruba | 0.0% | 2100 | — | volatile |
| 36 | Albania | 0.0% | 2100 | — | volatile |
| 36 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 36 | Argentina | 0.0% | 2100 | — | volatile |
| 36 | Armenia | 0.0% | 2100 | — | volatile |
| 36 | Australia | 0.0% | 2100 | — | volatile |
| 36 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 36 | Belgium | 0.0% | 2100 | — | volatile |
| 36 | Bulgaria | 0.0% | 2100 | — | volatile |
| 36 | Bahrain | 0.0% | 2100 | — | volatile |
| 36 | Bahamas | 0.0% | 2100 | — | volatile |
| 36 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 36 | Belize | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 36 | Brazil | 0.0% | 2100 | — | volatile |
| 36 | Central African Republic | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Canada | 0.0% | 2100 | — | volatile |
| 36 | Chile | 0.0% | 2100 | — | volatile |
| 36 | China | 0.0% | 2100 | — | volatile |
| 36 | Cameroon | 0.0% | 2100 | — | volatile |
| 36 | Congo, Democratic Republic of the | 0.0% | 2100 | — | volatile |
| 36 | Congo | 0.0% | 2100 | — | volatile |
| 36 | Colombia | 0.0% | 2100 | — | volatile |
| 36 | Comoros | 0.0% | 2100 | — | volatile |
| 36 | Costa Rica | 0.0% | 2100 | — | volatile |
| 36 | Cuba | 0.0% | 2100 | — | volatile |
| 36 | Cyprus | 0.0% | 2100 | — | volatile |
| 36 | Germany | 0.0% | 2100 | — | volatile |
| 36 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 36 | Algeria | 0.0% | 2100 | — | volatile |
| 36 | Ecuador | 0.0% | 2100 | — | volatile |
| 36 | Egypt | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Spain | 0.0% | 2100 | — | volatile |
| 36 | France | 0.0% | 2100 | — | volatile |
| 36 | Gabon | 0.0% | 2100 | — | volatile |
| 36 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | — | volatile |
| 36 | Equatorial Guinea | 0.0% | 2100 | — | volatile |
| 36 | Greece | 0.0% | 2100 | — | volatile |
| 36 | Guyana | 0.0% | 2100 | — | volatile |
| 36 | Hong Kong, China | 0.0% | 2100 | — | volatile |
| 36 | Honduras | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Croatia | 0.0% | 2100 | — | volatile |
| 36 | Haiti | 0.0% | 2100 | — | volatile |
| 36 | Indonesia | 0.0% | 2100 | — | volatile |
| 36 | Iran, Islamic Republic of | 0.0% | 2100 | — | volatile |
| 36 | Iraq | 0.0% | 2100 | — | volatile |
| 36 | Israel | 0.0% | 2100 | — | volatile |
| 36 | Italy | 0.0% | 2100 | — | volatile |
| 36 | Jordan | 0.0% | 2100 | — | volatile |
| 36 | Kenya | 0.0% | 2100 | — | volatile |
| 36 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 36 | Kuwait | 0.0% | 2100 | — | volatile |
| 36 | Lebanon | 0.0% | 2100 | — | volatile |
| 36 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 36 | Lesotho | 0.0% | 2100 | — | volatile |
| 36 | Luxembourg | 0.0% | 2100 | — | volatile |
| 36 | Macau, China | 0.0% | 2100 | — | volatile |
| 36 | Maldives | 0.0% | 2100 | — | volatile |
| 36 | Mexico | 0.0% | 2100 | — | volatile |
| 36 | North Macedonia | 0.0% | 2100 | — | volatile |
| 36 | Malta | 0.0% | 2100 | — | volatile |
| 36 | Myanmar | 0.0% | 2100 | — | volatile |
| 36 | Montenegro | 0.0% | 2100 | — | volatile |
| 36 | Mongolia | 0.0% | 2100 | — | volatile |
| 36 | Mauritius | 0.0% | 2100 | — | volatile |
| 36 | Malaysia | 0.0% | 2100 | — | volatile |
| 36 | Namibia | 0.0% | 2100 | — | volatile |
| 36 | New Caledonia | 0.0% | 2100 | — | volatile |
| 36 | Nigeria | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Netherlands | 0.0% | 2100 | — | volatile |
| 36 | Panama | 0.0% | 2100 | — | volatile |
| 36 | Peru | 0.0% | 2100 | — | volatile |
| 36 | Philippines | 0.0% | 2100 | — | volatile |
| 36 | Poland | 0.0% | 2100 | — | volatile |
| 36 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 36 | Portugal | 0.0% | 2100 | — | volatile |
| 36 | Paraguay | 0.0% | 2100 | — | volatile |
| 36 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 36 | French Polynesia | 0.0% | 2100 | — | volatile |
| 36 | Qatar | 0.0% | 2100 | — | volatile |
| 36 | Romania | 0.0% | 2100 | — | volatile |
| 36 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 36 | Singapore | 0.0% | 2100 | — | volatile |
| 36 | Serbia | 0.0% | 2100 | — | volatile |
| 36 | Sao Tome and Principe | 0.0% | 2100 | — | volatile |
| 36 | Eswatini | 0.0% | 2100 | — | volatile |
| 36 | Thailand | 0.0% | 2100 | — | volatile |
| 36 | Tajikistan | 0.0% | 2100 | — | volatile |
| 36 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 36 | Tonga | 0.0% | 2100 | — | volatile |
| 36 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 36 | Tunisia | 0.0% | 2100 | — | volatile |
| 36 | Türkiye | 0.0% | 2100 | — | volatile |
| 36 | Tanzania, United Republic of | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Uruguay | 0.0% | 2100 | — | volatile |
| 36 | United States of America | 0.0% | 2100 | — | volatile |
| 36 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 36 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 36 | Viet Nam | 0.0% | 2100 | — | volatile |
| 36 | Vanuatu | 0.0% | 2100 | down 100.0% | volatile |
| 36 | South Africa | 0.0% | 2100 | — | volatile |
| 36 | Zambia | 0.0% | 2100 | — | volatile |
| 36 | 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/