Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. No Education. Total 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. Total is currently reported for 162 countries. The highest value is 290.84 in Tanzania; the lowest is 0 in Zimbabwe.
The median across all reporting countries is 0.435, and the mean is 9.49.
Over the past decade 2 countries rose and 120 fell. The largest increase was in Israel (up 4.3%), and the largest decrease in Bangladesh (down 100.0%).
Wittgenstein Projection: Population age … age No Education. 15-19: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 290.84 | 2100 | down 26.1% | falling |
| 2 | Nigeria | 198.42 | 2100 | down 0.7% | volatile |
| 3 | Indonesia | 193.92 | 2100 | down 15.0% | falling |
| 4 | Madagascar | 123.88 | 2100 | down 31.3% | falling |
| 5 | Niger | 81.15 | 2100 | down 56.2% | volatile |
| 6 | India | 58.11 | 2100 | down 11.2% | volatile |
| 7 | China | 48.82 | 2100 | down 34.6% | volatile |
| 8 | Malaysia | 45.5 | 2100 | down 8.3% | falling |
| 9 | Somalia | 43.73 | 2100 | down 16.8% | volatile |
| 10 | Chad | 25.42 | 2100 | down 60.2% | volatile |
| 11 | Iraq | 25.26 | 2100 | down 14.8% | volatile |
| 12 | Ghana | 22.54 | 2100 | down 41.2% | volatile |
| 13 | United Kingdom | 22.21 | 2100 | down 1.2% | rising |
| 14 | Mali | 22.17 | 2100 | down 63.5% | volatile |
| 15 | Laos | 20.99 | 2100 | down 14.9% | falling |
| 16 | Vietnam | 20.19 | 2100 | down 38.8% | volatile |
| 17 | Thailand | 20.11 | 2100 | down 15.9% | falling |
| 18 | Mozambique | 19.34 | 2100 | down 52.8% | volatile |
| 19 | France | 19.26 | 2100 | down 1.8% | falling |
| 20 | Burkina Faso | 16.03 | 2100 | down 65.3% | volatile |
| 21 | Pakistan | 15.35 | 2100 | down 49.2% | volatile |
| 22 | Saudi Arabia | 14.99 | 2100 | down 6.7% | falling |
| 23 | Guinea | 12.3 | 2100 | down 43.8% | volatile |
| 24 | Burundi | 12.19 | 2100 | down 34.2% | volatile |
| 25 | Paraguay | 9.75 | 2100 | down 11.4% | falling |
| 26 | Liberia | 9.33 | 2100 | down 51.7% | volatile |
| 27 | Myanmar | 8.2 | 2100 | down 33.5% | volatile |
| 28 | Democratic Republic of Congo | 6.37 | 2100 | down 5.8% | volatile |
| 29 | United Arab Emirates | 6.29 | 2100 | down 31.8% | falling |
| 30 | Kenya | 5.94 | 2100 | down 10.9% | volatile |
| 31 | Sudan | 5.45 | 2100 | down 53.4% | volatile |
| 32 | Egypt | 5.25 | 2100 | down 7.9% | volatile |
| 33 | Azerbaijan | 4.99 | 2100 | down 14.6% | falling |
| 34 | Gambia | 4.56 | 2100 | down 9.2% | volatile |
| 35 | Tunisia | 4.36 | 2100 | down 11.7% | volatile |
| 36 | Netherlands | 4.25 | 2100 | down 4.3% | volatile |
| 37 | Brazil | 3.9 | 2100 | down 8.9% | volatile |
| 38 | Russia | 3.89 | 2100 | down 8.9% | falling |
| 39 | Mexico | 3.81 | 2100 | down 35.3% | volatile |
| 40 | Senegal | 3.65 | 2100 | down 55.8% | volatile |
| 41 | Turkey | 3.54 | 2100 | down 7.8% | volatile |
| 42 | Uganda | 3.53 | 2100 | down 45.8% | volatile |
| 43 | Ecuador | 3.36 | 2100 | down 6.7% | volatile |
| 44 | Japan | 3.3 | 2100 | down 12.2% | volatile |
| 45 | Cote d'Ivoire | 3.16 | 2100 | down 38.6% | volatile |
| 45 | Cape Verde | 3.16 | 2100 | down 13.4% | falling |
| 47 | Iran | 3.08 | 2100 | down 11.2% | volatile |
| 48 | Benin | 3 | 2100 | down 67.0% | volatile |
| 49 | Germany | 2.85 | 2100 | down 9.8% | volatile |
| 50 | Palestine | 2.33 | 2100 | down 7.5% | falling |
| 51 | Kazakhstan | 2.31 | 2100 | down 16.0% | falling |
| 52 | Lebanon | 2.26 | 2100 | down 12.4% | falling |
| 53 | Nepal | 2.19 | 2100 | down 12.7% | volatile |
| 54 | Algeria | 2.16 | 2100 | down 16.3% | volatile |
| 55 | Philippines | 1.92 | 2100 | down 8.1% | volatile |
| 56 | Malawi | 1.87 | 2100 | down 35.3% | volatile |
| 57 | Zambia | 1.73 | 2100 | down 4.4% | volatile |
| 58 | Spain | 1.61 | 2100 | down 7.5% | falling |
| 59 | Sierra Leone | 1.4 | 2100 | down 68.5% | volatile |
| 60 | Cameroon | 1.33 | 2100 | down 9.5% | volatile |
| 61 | Kuwait | 1.24 | 2100 | down 21.5% | falling |
| 62 | Poland | 1.01 | 2100 | down 1.0% | volatile |
| 63 | Colombia | 1 | 2100 | down 16.7% | volatile |
| 64 | Australia | 0.99 | 2100 | down 2.9% | rising |
| 65 | South Korea | 0.93 | 2100 | down 8.8% | falling |
| 66 | Mongolia | 0.92 | 2100 | down 20.0% | volatile |
| 67 | Italy | 0.78 | 2100 | down 8.2% | falling |
| 68 | South Africa | 0.74 | 2100 | down 10.8% | volatile |
| 69 | Nicaragua | 0.73 | 2100 | down 5.2% | volatile |
| 70 | Cambodia | 0.69 | 2100 | down 38.4% | volatile |
| 71 | Ukraine | 0.68 | 2100 | down 9.3% | falling |
| 72 | Bhutan | 0.67 | 2100 | down 11.8% | volatile |
| 73 | Belgium | 0.65 | 2100 | down 3.0% | rising |
| 74 | Guatemala | 0.64 | 2100 | down 16.9% | volatile |
| 75 | Venezuela | 0.58 | 2100 | down 7.9% | volatile |
| 76 | Morocco | 0.57 | 2100 | down 65.2% | volatile |
| 77 | Israel | 0.49 | 2100 | up 4.3% | volatile |
| 78 | Argentina | 0.46 | 2100 | down 8.0% | volatile |
| 78 | Czechia | 0.46 | 2100 | down 4.2% | falling |
| 80 | Lithuania | 0.44 | 2100 | unchanged | falling |
| 80 | Romania | 0.44 | 2100 | down 10.2% | volatile |
| 82 | Latvia | 0.43 | 2100 | down 4.4% | falling |
| 83 | Congo | 0.42 | 2100 | down 8.7% | volatile |
| 84 | Tajikistan | 0.41 | 2100 | down 6.8% | volatile |
| 85 | Belarus | 0.39 | 2100 | down 17.0% | volatile |
| 86 | Sweden | 0.38 | 2100 | unchanged | falling |
| 87 | Dominican Republic | 0.37 | 2100 | down 19.6% | volatile |
| 88 | Greece | 0.34 | 2100 | down 8.1% | volatile |
| 88 | Peru | 0.34 | 2100 | down 10.5% | volatile |
| 90 | Sao Tome and Principe | 0.31 | 2100 | down 27.9% | falling |
| 91 | Ireland | 0.3 | 2100 | up 3.4% | volatile |
| 91 | Jamaica | 0.3 | 2100 | down 37.5% | volatile |
| 93 | Central African Republic | 0.28 | 2100 | down 6.7% | volatile |
| 94 | Honduras | 0.27 | 2100 | down 6.9% | volatile |
| 95 | Comoros | 0.26 | 2100 | unchanged | volatile |
| 96 | Serbia | 0.24 | 2100 | down 7.7% | volatile |
| 97 | Chile | 0.23 | 2100 | down 8.0% | volatile |
| 97 | New Zealand | 0.23 | 2100 | down 4.2% | falling |
| 99 | Hungary | 0.22 | 2100 | down 8.3% | volatile |
| 100 | Norway | 0.21 | 2100 | unchanged | rising |
| 100 | Slovakia | 0.21 | 2100 | unchanged | falling |
| 102 | Bulgaria | 0.17 | 2100 | down 5.6% | volatile |
| 102 | Haiti | 0.17 | 2100 | down 5.6% | volatile |
| 104 | Croatia | 0.16 | 2100 | down 20.0% | volatile |
| 104 | East Timor | 0.16 | 2100 | down 5.9% | volatile |
| 106 | Turkmenistan | 0.15 | 2100 | down 6.2% | falling |
| 107 | Cuba | 0.14 | 2100 | down 6.7% | volatile |
| 107 | Guinea-Bissau | 0.14 | 2100 | down 57.6% | volatile |
| 107 | Uruguay | 0.14 | 2100 | down 17.6% | falling |
| 110 | Maldives | 0.12 | 2100 | down 14.3% | volatile |
| 111 | Equatorial Guinea | 0.11 | 2100 | down 31.2% | volatile |
| 111 | Hong Kong | 0.11 | 2100 | unchanged | volatile |
| 113 | Costa Rica | 0.1 | 2100 | down 9.1% | volatile |
| 113 | Panama | 0.1 | 2100 | down 9.1% | volatile |
| 115 | Albania | 0.09 | 2100 | down 18.2% | volatile |
| 116 | El Salvador | 0.08 | 2100 | unchanged | volatile |
| 117 | Armenia | 0.07 | 2100 | unchanged | volatile |
| 117 | Portugal | 0.07 | 2100 | unchanged | volatile |
| 119 | Namibia | 0.06 | 2100 | down 14.3% | volatile |
| 120 | Bosnia and Herzegovina | 0.05 | 2100 | down 16.7% | volatile |
| 120 | Luxembourg | 0.05 | 2100 | unchanged | volatile |
| 120 | North Macedonia | 0.05 | 2100 | unchanged | volatile |
| 120 | Trinidad and Tobago | 0.05 | 2100 | unchanged | volatile |
| 120 | Saint Vincent and the Grenadines | 0.05 | 2100 | unchanged | volatile |
| 125 | Cyprus | 0.04 | 2100 | down 20.0% | volatile |
| 125 | Georgia | 0.04 | 2100 | down 20.0% | volatile |
| 125 | Malta | 0.04 | 2100 | down 20.0% | falling |
| 125 | Puerto Rico | 0.04 | 2100 | down 20.0% | volatile |
| 129 | Aruba | 0.03 | 2100 | unchanged | volatile |
| 129 | Guyana | 0.03 | 2100 | down 40.0% | volatile |
| 129 | Lesotho | 0.03 | 2100 | down 25.0% | volatile |
| 129 | Mauritius | 0.03 | 2100 | down 25.0% | volatile |
| 129 | Samoa | 0.03 | 2100 | unchanged | falling |
| 134 | Montenegro | 0.02 | 2100 | unchanged | volatile |
| 134 | New Caledonia | 0.02 | 2100 | unchanged | volatile |
| 134 | French Polynesia | 0.02 | 2100 | unchanged | volatile |
| 134 | Vanuatu | 0.02 | 2100 | unchanged | volatile |
| 138 | Bahamas | 0.01 | 2100 | unchanged | falling |
| 138 | Belize | 0.01 | 2100 | down 66.7% | volatile |
| 138 | Saint Lucia | 0.01 | 2100 | unchanged | volatile |
| 138 | Moldova | 0.01 | 2100 | unchanged | volatile |
| 142 | Bangladesh | 0 | 2100 | down 100.0% | volatile |
| 142 | Bahrain | 0 | 2100 | — | volatile |
| 142 | Bolivia | 0 | 2100 | — | volatile |
| 142 | Canada | 0 | 2100 | — | volatile |
| 142 | Denmark | 0 | 2100 | — | volatile |
| 142 | Estonia | 0 | 2100 | — | volatile |
| 142 | Ethiopia | 0 | 2100 | — | volatile |
| 142 | Gabon | 0 | 2100 | — | volatile |
| 142 | Jordan | 0 | 2100 | — | volatile |
| 142 | Kyrgyzstan | 0 | 2100 | — | volatile |
| 142 | Macao | 0 | 2100 | down 100.0% | falling |
| 142 | Qatar | 0 | 2100 | — | volatile |
| 142 | Rwanda | 0 | 2100 | down 100.0% | volatile |
| 142 | Singapore | 0 | 2100 | — | volatile |
| 142 | Suriname | 0 | 2100 | — | volatile |
| 142 | Slovenia | 0 | 2100 | — | volatile |
| 142 | Eswatini | 0 | 2100 | — | volatile |
| 142 | Syria | 0 | 2100 | — | volatile |
| 142 | Tonga | 0 | 2100 | — | volatile |
| 142 | United States | 0 | 2100 | — | volatile |
| 142 | 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 1,591
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/