Wittgenstein Projection: Percentage of the population age 15-19 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 15-19 by highest level of educational attainment. No Education. Female is currently reported for 116 countries. The highest value is 0.1% in Cape Verde; the lowest is 0.0% in Zambia.
The median across all reporting countries is 0.0%, and the mean is 0.0%.
Wittgenstein Projection: Percentage of the population age 15-19 by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Cape Verde | 0.1% | 2100 | unchanged | rising |
| 2 | Lao People's Democratic Republic | 0.1% | 2100 | unchanged | falling |
| 3 | Madagascar | 0.0% | 2100 | down 20.0% | falling |
| 3 | Somalia | 0.0% | 2100 | unchanged | volatile |
| 5 | Sao Tome and Principe | 0.0% | 2100 | down 25.0% | falling |
| 5 | Tanzania, United Republic of | 0.0% | 2100 | down 25.0% | falling |
| 7 | Gambia | 0.0% | 2100 | unchanged | volatile |
| 7 | Indonesia | 0.0% | 2100 | unchanged | rising |
| 7 | Malaysia | 0.0% | 2100 | unchanged | falling |
| 7 | Paraguay | 0.0% | 2100 | unchanged | falling |
| 11 | United Arab Emirates | 0.0% | 2100 | unchanged | falling |
| 11 | Azerbaijan | 0.0% | 2100 | unchanged | rising |
| 11 | Burundi | 0.0% | 2100 | unchanged | volatile |
| 11 | Bhutan | 0.0% | 2100 | unchanged | volatile |
| 11 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | unchanged | flat |
| 11 | Ghana | 0.0% | 2100 | unchanged | volatile |
| 11 | Guinea | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Iraq | 0.0% | 2100 | unchanged | volatile |
| 11 | Lebanon | 0.0% | 2100 | unchanged | falling |
| 11 | Liberia | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Latvia | 0.0% | 2100 | unchanged | flat |
| 11 | Maldives | 0.0% | 2100 | unchanged | falling |
| 11 | Mali | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Mongolia | 0.0% | 2100 | unchanged | flat |
| 11 | Mozambique | 0.0% | 2100 | unchanged | volatile |
| 11 | Niger | 0.0% | 2100 | down 66.7% | volatile |
| 11 | Nigeria | 0.0% | 2100 | — | volatile |
| 11 | Netherlands | 0.0% | 2100 | unchanged | volatile |
| 11 | Palestine, State of | 0.0% | 2100 | unchanged | volatile |
| 11 | Saudi Arabia | 0.0% | 2100 | unchanged | volatile |
| 11 | Chad | 0.0% | 2100 | down 66.7% | volatile |
| 11 | Thailand | 0.0% | 2100 | unchanged | rising |
| 11 | Tunisia | 0.0% | 2100 | unchanged | volatile |
| 11 | Saint Vincent and the Grenadines | 0.0% | 2100 | down 50.0% | falling |
| 11 | Viet Nam | 0.0% | 2100 | unchanged | volatile |
| 36 | Aruba | 0.0% | 2100 | — | volatile |
| 36 | Albania | 0.0% | 2100 | — | volatile |
| 36 | Benin | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Burkina Faso | 0.0% | 2100 | down 100.0% | volatile |
| 36 | Bangladesh | 0.0% | 2100 | — | volatile |
| 36 | Bulgaria | 0.0% | 2100 | — | volatile |
| 36 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 36 | Belarus | 0.0% | 2100 | — | volatile |
| 36 | Belize | 0.0% | 2100 | — | volatile |
| 36 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 36 | Brazil | 0.0% | 2100 | — | volatile |
| 36 | Central African Republic | 0.0% | 2100 | — | volatile |
| 36 | China | 0.0% | 2100 | — | volatile |
| 36 | Côte d'Ivoire | 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 | Cyprus | 0.0% | 2100 | — | volatile |
| 36 | Germany | 0.0% | 2100 | — | volatile |
| 36 | Algeria | 0.0% | 2100 | — | volatile |
| 36 | Ecuador | 0.0% | 2100 | — | volatile |
| 36 | Egypt | 0.0% | 2100 | — | volatile |
| 36 | Ethiopia | 0.0% | 2100 | — | volatile |
| 36 | France | 0.0% | 2100 | — | volatile |
| 36 | Gabon | 0.0% | 2100 | — | volatile |
| 36 | Guinea-Bissau | 0.0% | 2100 | — | volatile |
| 36 | Equatorial Guinea | 0.0% | 2100 | — | volatile |
| 36 | Guatemala | 0.0% | 2100 | — | volatile |
| 36 | Guyana | 0.0% | 2100 | — | volatile |
| 36 | Honduras | 0.0% | 2100 | — | volatile |
| 36 | Croatia | 0.0% | 2100 | — | volatile |
| 36 | Haiti | 0.0% | 2100 | — | volatile |
| 36 | India | 0.0% | 2100 | — | volatile |
| 36 | Iran, Islamic Republic of | 0.0% | 2100 | — | volatile |
| 36 | Jamaica | 0.0% | 2100 | — | volatile |
| 36 | Jordan | 0.0% | 2100 | — | volatile |
| 36 | Kenya | 0.0% | 2100 | — | volatile |
| 36 | Cambodia | 0.0% | 2100 | — | volatile |
| 36 | Kuwait | 0.0% | 2100 | down 100.0% | falling |
| 36 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 36 | Lesotho | 0.0% | 2100 | — | volatile |
| 36 | Luxembourg | 0.0% | 2100 | — | volatile |
| 36 | Morocco | 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 | down 100.0% | volatile |
| 36 | Montenegro | 0.0% | 2100 | — | volatile |
| 36 | Mauritius | 0.0% | 2100 | — | volatile |
| 36 | Malawi | 0.0% | 2100 | — | volatile |
| 36 | Namibia | 0.0% | 2100 | — | volatile |
| 36 | New Caledonia | 0.0% | 2100 | — | volatile |
| 36 | Nicaragua | 0.0% | 2100 | — | volatile |
| 36 | Nepal | 0.0% | 2100 | — | volatile |
| 36 | Pakistan | 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 | Portugal | 0.0% | 2100 | — | volatile |
| 36 | Qatar | 0.0% | 2100 | — | volatile |
| 36 | Romania | 0.0% | 2100 | — | volatile |
| 36 | Rwanda | 0.0% | 2100 | — | volatile |
| 36 | Sudan | 0.0% | 2100 | — | volatile |
| 36 | Senegal | 0.0% | 2100 | — | volatile |
| 36 | Sierra Leone | 0.0% | 2100 | down 100.0% | volatile |
| 36 | El Salvador | 0.0% | 2100 | — | volatile |
| 36 | Eswatini | 0.0% | 2100 | — | volatile |
| 36 | Syrian Arab Republic | 0.0% | 2100 | — | volatile |
| 36 | Tajikistan | 0.0% | 2100 | — | volatile |
| 36 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 36 | Tonga | 0.0% | 2100 | — | volatile |
| 36 | Türkiye | 0.0% | 2100 | — | volatile |
| 36 | Uganda | 0.0% | 2100 | — | volatile |
| 36 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 36 | Vanuatu | 0.0% | 2100 | — | volatile |
| 36 | South Africa | 0.0% | 2100 | — | volatile |
| 36 | Zambia | 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/