Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. No Education. Male by country
Total population in thousands in the specified 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...
What the numbers show
Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. No Education. Male is currently reported for 160 countries. The highest value is 147.33 in Tanzania; the lowest is 0 in Zimbabwe.
The median across all reporting countries is 0.23, and the mean is 4.9.
Over the past decade 3 countries rose and 108 fell. The largest increase was in Comoros (up 7.7%), and the largest decrease in Bangladesh (down 100.0%).
Wittgenstein Projection: Population age … Male No Education. 15-19: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 147.33 | 2100 | down 26.0% | falling |
| 2 | Nigeria | 101.6 | 2100 | down 0.5% | volatile |
| 3 | Indonesia | 99.04 | 2100 | down 15.0% | falling |
| 4 | Madagascar | 62.78 | 2100 | down 31.3% | falling |
| 5 | Niger | 41.4 | 2100 | down 56.2% | volatile |
| 6 | India | 30.18 | 2100 | down 11.2% | volatile |
| 7 | China | 25.24 | 2100 | down 34.6% | volatile |
| 8 | Malaysia | 23.4 | 2100 | down 8.3% | falling |
| 9 | Somalia | 22.02 | 2100 | down 16.6% | volatile |
| 10 | Iraq | 13.05 | 2100 | down 14.9% | volatile |
| 11 | Chad | 12.78 | 2100 | down 60.1% | volatile |
| 12 | Ghana | 11.59 | 2100 | down 41.1% | volatile |
| 13 | United Kingdom | 11.38 | 2100 | down 1.2% | rising |
| 14 | Mali | 11.31 | 2100 | down 63.4% | volatile |
| 15 | Laos | 10.75 | 2100 | down 14.9% | falling |
| 16 | Thailand | 10.35 | 2100 | down 16.0% | falling |
| 17 | Vietnam | 10.33 | 2100 | down 38.8% | volatile |
| 18 | France | 9.86 | 2100 | down 1.9% | falling |
| 19 | Mozambique | 9.78 | 2100 | down 52.7% | volatile |
| 20 | Burkina Faso | 8.19 | 2100 | down 65.1% | volatile |
| 21 | Pakistan | 7.84 | 2100 | down 49.2% | volatile |
| 22 | Saudi Arabia | 7.6 | 2100 | down 6.7% | falling |
| 23 | Guinea | 6.3 | 2100 | down 43.7% | volatile |
| 24 | Burundi | 6.17 | 2100 | down 34.2% | volatile |
| 25 | Paraguay | 4.99 | 2100 | down 11.4% | falling |
| 26 | Liberia | 4.79 | 2100 | down 51.6% | volatile |
| 27 | Myanmar | 4.16 | 2100 | down 33.3% | volatile |
| 28 | United Arab Emirates | 3.24 | 2100 | down 32.6% | volatile |
| 29 | Democratic Republic of Congo | 3.2 | 2100 | down 5.3% | volatile |
| 30 | Kenya | 3 | 2100 | down 11.0% | volatile |
| 31 | Sudan | 2.77 | 2100 | down 53.3% | volatile |
| 32 | Egypt | 2.69 | 2100 | down 7.9% | volatile |
| 33 | Azerbaijan | 2.57 | 2100 | down 14.6% | falling |
| 34 | Gambia | 2.31 | 2100 | down 9.1% | volatile |
| 35 | Tunisia | 2.23 | 2100 | down 11.9% | volatile |
| 36 | Netherlands | 2.19 | 2100 | down 3.9% | volatile |
| 37 | Brazil | 2 | 2100 | down 8.7% | volatile |
| 37 | Russia | 2 | 2100 | down 9.1% | volatile |
| 39 | Mexico | 1.95 | 2100 | down 35.2% | volatile |
| 40 | Senegal | 1.85 | 2100 | down 55.6% | volatile |
| 41 | Turkey | 1.81 | 2100 | down 8.1% | volatile |
| 42 | Uganda | 1.78 | 2100 | down 45.9% | volatile |
| 43 | Ecuador | 1.72 | 2100 | down 6.5% | volatile |
| 44 | Japan | 1.7 | 2100 | down 12.4% | volatile |
| 45 | Cape Verde | 1.61 | 2100 | down 13.4% | falling |
| 46 | Cote d'Ivoire | 1.59 | 2100 | down 38.6% | volatile |
| 47 | Iran | 1.58 | 2100 | down 11.2% | volatile |
| 48 | Benin | 1.52 | 2100 | down 67.0% | volatile |
| 49 | Germany | 1.47 | 2100 | down 9.3% | volatile |
| 50 | Kazakhstan | 1.2 | 2100 | down 16.1% | falling |
| 51 | Palestine | 1.19 | 2100 | down 7.8% | falling |
| 52 | Lebanon | 1.16 | 2100 | down 12.1% | falling |
| 53 | Nepal | 1.12 | 2100 | down 12.5% | volatile |
| 54 | Algeria | 1.11 | 2100 | down 15.9% | volatile |
| 55 | Philippines | 0.99 | 2100 | down 7.5% | volatile |
| 56 | Malawi | 0.95 | 2100 | down 34.9% | volatile |
| 57 | Zambia | 0.87 | 2100 | down 4.4% | volatile |
| 58 | Spain | 0.83 | 2100 | down 6.7% | falling |
| 59 | Sierra Leone | 0.7 | 2100 | down 68.6% | volatile |
| 60 | Cameroon | 0.67 | 2100 | down 9.5% | volatile |
| 61 | Kuwait | 0.63 | 2100 | down 22.2% | falling |
| 62 | Poland | 0.52 | 2100 | unchanged | volatile |
| 63 | Australia | 0.51 | 2100 | down 1.9% | rising |
| 63 | Colombia | 0.51 | 2100 | down 16.4% | volatile |
| 65 | South Korea | 0.48 | 2100 | down 9.4% | falling |
| 66 | Mongolia | 0.47 | 2100 | down 20.3% | volatile |
| 67 | Italy | 0.4 | 2100 | down 9.1% | falling |
| 68 | South Africa | 0.38 | 2100 | down 9.5% | volatile |
| 69 | Nicaragua | 0.37 | 2100 | down 5.1% | volatile |
| 70 | Cambodia | 0.35 | 2100 | down 38.6% | volatile |
| 70 | Ukraine | 0.35 | 2100 | down 10.3% | falling |
| 72 | Bhutan | 0.34 | 2100 | down 12.8% | volatile |
| 73 | Belgium | 0.33 | 2100 | down 2.9% | rising |
| 73 | Guatemala | 0.33 | 2100 | down 15.4% | volatile |
| 75 | Venezuela | 0.3 | 2100 | down 6.2% | volatile |
| 76 | Morocco | 0.29 | 2100 | down 65.5% | volatile |
| 77 | Israel | 0.25 | 2100 | up 4.2% | falling |
| 78 | Czechia | 0.24 | 2100 | down 4.0% | falling |
| 79 | Argentina | 0.23 | 2100 | down 11.5% | volatile |
| 79 | Lithuania | 0.23 | 2100 | up 4.5% | falling |
| 79 | Romania | 0.23 | 2100 | down 8.0% | volatile |
| 82 | Latvia | 0.22 | 2100 | down 4.3% | falling |
| 83 | Congo | 0.21 | 2100 | down 8.7% | volatile |
| 83 | Tajikistan | 0.21 | 2100 | down 8.7% | volatile |
| 85 | Belarus | 0.2 | 2100 | down 16.7% | falling |
| 86 | Dominican Republic | 0.19 | 2100 | down 20.8% | volatile |
| 86 | Sweden | 0.19 | 2100 | unchanged | falling |
| 88 | Greece | 0.17 | 2100 | down 10.5% | volatile |
| 88 | Peru | 0.17 | 2100 | down 15.0% | volatile |
| 90 | Jamaica | 0.16 | 2100 | down 36.0% | volatile |
| 90 | Sao Tome and Principe | 0.16 | 2100 | down 27.3% | falling |
| 92 | Ireland | 0.15 | 2100 | unchanged | volatile |
| 93 | Central African Republic | 0.14 | 2100 | down 6.7% | volatile |
| 93 | Comoros | 0.14 | 2100 | up 7.7% | volatile |
| 93 | Honduras | 0.14 | 2100 | down 6.7% | volatile |
| 96 | Serbia | 0.13 | 2100 | unchanged | volatile |
| 97 | Chile | 0.12 | 2100 | down 7.7% | volatile |
| 97 | New Zealand | 0.12 | 2100 | unchanged | volatile |
| 99 | Hungary | 0.11 | 2100 | down 8.3% | volatile |
| 99 | Norway | 0.11 | 2100 | unchanged | rising |
| 99 | Slovakia | 0.11 | 2100 | unchanged | volatile |
| 102 | Bulgaria | 0.09 | 2100 | unchanged | volatile |
| 103 | Croatia | 0.08 | 2100 | down 20.0% | falling |
| 103 | Haiti | 0.08 | 2100 | down 11.1% | volatile |
| 103 | East Timor | 0.08 | 2100 | down 11.1% | volatile |
| 106 | Cuba | 0.07 | 2100 | down 12.5% | volatile |
| 106 | Guinea-Bissau | 0.07 | 2100 | down 58.8% | volatile |
| 106 | Turkmenistan | 0.07 | 2100 | down 12.5% | falling |
| 106 | Uruguay | 0.07 | 2100 | down 22.2% | falling |
| 110 | Equatorial Guinea | 0.06 | 2100 | down 25.0% | volatile |
| 110 | Hong Kong | 0.06 | 2100 | unchanged | volatile |
| 110 | Maldives | 0.06 | 2100 | down 14.3% | volatile |
| 113 | Albania | 0.05 | 2100 | down 16.7% | volatile |
| 113 | Costa Rica | 0.05 | 2100 | unchanged | volatile |
| 113 | Panama | 0.05 | 2100 | down 16.7% | volatile |
| 116 | Armenia | 0.04 | 2100 | unchanged | volatile |
| 116 | El Salvador | 0.04 | 2100 | unchanged | volatile |
| 118 | Bosnia and Herzegovina | 0.03 | 2100 | unchanged | volatile |
| 118 | Luxembourg | 0.03 | 2100 | unchanged | volatile |
| 118 | North Macedonia | 0.03 | 2100 | unchanged | volatile |
| 118 | Namibia | 0.03 | 2100 | unchanged | volatile |
| 118 | Portugal | 0.03 | 2100 | down 25.0% | volatile |
| 123 | Cyprus | 0.02 | 2100 | unchanged | falling |
| 123 | Georgia | 0.02 | 2100 | unchanged | volatile |
| 123 | Guyana | 0.02 | 2100 | down 33.3% | volatile |
| 123 | Lesotho | 0.02 | 2100 | unchanged | volatile |
| 123 | Malta | 0.02 | 2100 | unchanged | falling |
| 123 | Puerto Rico | 0.02 | 2100 | unchanged | volatile |
| 123 | Trinidad and Tobago | 0.02 | 2100 | unchanged | volatile |
| 123 | Saint Vincent and the Grenadines | 0.02 | 2100 | down 33.3% | volatile |
| 131 | Aruba | 0.01 | 2100 | unchanged | volatile |
| 131 | Belize | 0.01 | 2100 | unchanged | volatile |
| 131 | Saint Lucia | 0.01 | 2100 | unchanged | volatile |
| 131 | Montenegro | 0.01 | 2100 | unchanged | volatile |
| 131 | Mauritius | 0.01 | 2100 | down 50.0% | volatile |
| 131 | New Caledonia | 0.01 | 2100 | unchanged | volatile |
| 131 | French Polynesia | 0.01 | 2100 | unchanged | volatile |
| 131 | Vanuatu | 0.01 | 2100 | unchanged | volatile |
| 131 | Samoa | 0.01 | 2100 | unchanged | falling |
| 140 | Bangladesh | 0 | 2100 | down 100.0% | volatile |
| 140 | Bahrain | 0 | 2100 | — | volatile |
| 140 | Bahamas | 0 | 2100 | — | volatile |
| 140 | Bolivia | 0 | 2100 | — | volatile |
| 140 | Canada | 0 | 2100 | — | volatile |
| 140 | Denmark | 0 | 2100 | — | volatile |
| 140 | Estonia | 0 | 2100 | — | volatile |
| 140 | Ethiopia | 0 | 2100 | — | volatile |
| 140 | Gabon | 0 | 2100 | — | volatile |
| 140 | Jordan | 0 | 2100 | — | volatile |
| 140 | Moldova | 0 | 2100 | — | volatile |
| 140 | Qatar | 0 | 2100 | — | volatile |
| 140 | Rwanda | 0 | 2100 | down 100.0% | volatile |
| 140 | Singapore | 0 | 2100 | — | volatile |
| 140 | Suriname | 0 | 2100 | — | volatile |
| 140 | Slovenia | 0 | 2100 | — | volatile |
| 140 | Eswatini | 0 | 2100 | — | volatile |
| 140 | Syria | 0 | 2100 | — | volatile |
| 140 | Tonga | 0 | 2100 | — | volatile |
| 140 | United States | 0 | 2100 | — | volatile |
| 140 | Zimbabwe | 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 811.55
About this data
Total population in thousands in the specified 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/