Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. No Education. Female 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. Female is currently reported for 164 countries. The highest value is 143.51 in Tanzania; the lowest is 0 in Zimbabwe.
The median across all reporting countries is 0.205, and the mean is 4.59.
Over the past decade 2 countries rose and 107 fell. The largest increase was in Lithuania (up 4.8%), and the largest decrease in Bangladesh (down 100.0%).
Wittgenstein Projection: Population age 15-19 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 143.51 | 2100 | down 26.1% | falling |
| 2 | Nigeria | 96.82 | 2100 | down 1.0% | volatile |
| 3 | Indonesia | 94.88 | 2100 | down 15.1% | falling |
| 4 | Madagascar | 61.1 | 2100 | down 31.3% | falling |
| 5 | Niger | 39.75 | 2100 | down 56.3% | volatile |
| 6 | India | 27.93 | 2100 | down 11.2% | volatile |
| 7 | China | 23.59 | 2100 | down 34.6% | volatile |
| 8 | Malaysia | 22.1 | 2100 | down 8.3% | falling |
| 9 | Somalia | 21.71 | 2100 | down 17.0% | volatile |
| 10 | Chad | 12.64 | 2100 | down 60.3% | volatile |
| 11 | Iraq | 12.2 | 2100 | down 14.8% | volatile |
| 12 | Ghana | 10.95 | 2100 | down 41.2% | volatile |
| 13 | Mali | 10.86 | 2100 | down 63.7% | volatile |
| 14 | United Kingdom | 10.83 | 2100 | down 1.3% | falling |
| 15 | Laos | 10.24 | 2100 | down 15.0% | volatile |
| 16 | Vietnam | 9.85 | 2100 | down 38.8% | volatile |
| 17 | Thailand | 9.76 | 2100 | down 15.9% | flat |
| 18 | Mozambique | 9.56 | 2100 | down 52.9% | volatile |
| 19 | France | 9.39 | 2100 | down 1.9% | falling |
| 20 | Burkina Faso | 7.84 | 2100 | down 65.4% | volatile |
| 21 | Pakistan | 7.51 | 2100 | down 49.2% | volatile |
| 22 | Saudi Arabia | 7.39 | 2100 | down 6.6% | falling |
| 23 | Burundi | 6.01 | 2100 | down 34.3% | volatile |
| 24 | Guinea | 6 | 2100 | down 43.9% | volatile |
| 25 | Paraguay | 4.76 | 2100 | down 11.4% | falling |
| 26 | Liberia | 4.54 | 2100 | down 51.8% | volatile |
| 27 | Myanmar | 4.04 | 2100 | down 33.8% | volatile |
| 28 | Democratic Republic of Congo | 3.17 | 2100 | down 5.9% | volatile |
| 29 | United Arab Emirates | 3.05 | 2100 | down 30.8% | falling |
| 30 | Kenya | 2.93 | 2100 | down 11.2% | volatile |
| 31 | Sudan | 2.68 | 2100 | down 53.5% | volatile |
| 32 | Egypt | 2.56 | 2100 | down 7.9% | volatile |
| 33 | Azerbaijan | 2.42 | 2100 | down 14.5% | rising |
| 34 | Gambia | 2.25 | 2100 | down 9.6% | volatile |
| 35 | Tunisia | 2.13 | 2100 | down 11.6% | volatile |
| 36 | Netherlands | 2.06 | 2100 | down 4.2% | volatile |
| 37 | Brazil | 1.91 | 2100 | down 8.6% | volatile |
| 38 | Russia | 1.89 | 2100 | down 8.7% | falling |
| 39 | Mexico | 1.86 | 2100 | down 35.2% | volatile |
| 40 | Senegal | 1.8 | 2100 | down 55.8% | volatile |
| 41 | Uganda | 1.74 | 2100 | down 46.1% | volatile |
| 42 | Turkey | 1.73 | 2100 | down 7.5% | volatile |
| 43 | Ecuador | 1.64 | 2100 | down 6.8% | volatile |
| 44 | Japan | 1.6 | 2100 | down 12.6% | falling |
| 45 | Cote d'Ivoire | 1.57 | 2100 | down 38.7% | volatile |
| 46 | Cape Verde | 1.56 | 2100 | down 12.8% | falling |
| 47 | Iran | 1.5 | 2100 | down 11.8% | volatile |
| 48 | Benin | 1.47 | 2100 | down 67.1% | volatile |
| 49 | Germany | 1.39 | 2100 | down 9.7% | volatile |
| 50 | Palestine | 1.13 | 2100 | down 8.1% | falling |
| 51 | Kazakhstan | 1.12 | 2100 | down 15.2% | falling |
| 52 | Lebanon | 1.1 | 2100 | down 12.7% | falling |
| 53 | Nepal | 1.07 | 2100 | down 13.0% | volatile |
| 54 | Algeria | 1.05 | 2100 | down 16.7% | volatile |
| 55 | Philippines | 0.94 | 2100 | down 7.8% | volatile |
| 56 | Malawi | 0.92 | 2100 | down 35.7% | volatile |
| 57 | Zambia | 0.86 | 2100 | down 4.4% | volatile |
| 58 | Spain | 0.78 | 2100 | down 7.1% | falling |
| 59 | Sierra Leone | 0.7 | 2100 | down 68.5% | volatile |
| 60 | Cameroon | 0.66 | 2100 | down 9.6% | volatile |
| 61 | Kuwait | 0.61 | 2100 | down 21.8% | falling |
| 62 | Colombia | 0.49 | 2100 | down 16.9% | volatile |
| 62 | Poland | 0.49 | 2100 | down 2.0% | volatile |
| 64 | Australia | 0.48 | 2100 | down 2.0% | flat |
| 65 | South Korea | 0.45 | 2100 | down 10.0% | falling |
| 65 | Mongolia | 0.45 | 2100 | down 21.1% | falling |
| 67 | Italy | 0.38 | 2100 | down 7.3% | falling |
| 69 | Nicaragua | 0.35 | 2100 | down 7.9% | volatile |
| 70 | Cambodia | 0.34 | 2100 | down 38.2% | volatile |
| 71 | Bhutan | 0.33 | 2100 | down 10.8% | volatile |
| 71 | Ukraine | 0.33 | 2100 | down 8.3% | falling |
| 73 | Belgium | 0.32 | 2100 | down 3.0% | rising |
| 74 | Guatemala | 0.31 | 2100 | down 18.4% | volatile |
| 75 | Morocco | 0.28 | 2100 | down 65.0% | volatile |
| 75 | Venezuela | 0.28 | 2100 | down 9.7% | volatile |
| 77 | Israel | 0.24 | 2100 | up 4.3% | volatile |
| 78 | Argentina | 0.23 | 2100 | down 8.0% | volatile |
| 79 | Czechia | 0.22 | 2100 | down 4.3% | falling |
| 79 | Lithuania | 0.22 | 2100 | up 4.8% | rising |
| 81 | Congo | 0.21 | 2100 | down 8.7% | volatile |
| 81 | Latvia | 0.21 | 2100 | down 4.5% | falling |
| 81 | Romania | 0.21 | 2100 | down 12.5% | volatile |
| 84 | Tajikistan | 0.2 | 2100 | down 9.1% | volatile |
| 85 | Belarus | 0.19 | 2100 | down 17.4% | volatile |
| 86 | Dominican Republic | 0.18 | 2100 | down 21.7% | volatile |
| 86 | Sweden | 0.18 | 2100 | unchanged | volatile |
| 88 | Peru | 0.17 | 2100 | down 10.5% | volatile |
| 89 | Greece | 0.16 | 2100 | down 11.1% | volatile |
| 90 | Jamaica | 0.15 | 2100 | down 37.5% | volatile |
| 90 | Sao Tome and Principe | 0.15 | 2100 | down 28.6% | volatile |
| 92 | Ireland | 0.14 | 2100 | unchanged | volatile |
| 94 | Comoros | 0.13 | 2100 | unchanged | volatile |
| 94 | Honduras | 0.13 | 2100 | down 7.1% | volatile |
| 96 | Serbia | 0.12 | 2100 | unchanged | volatile |
| 97 | Chile | 0.11 | 2100 | down 8.3% | volatile |
| 97 | Hungary | 0.11 | 2100 | unchanged | volatile |
| 97 | New Zealand | 0.11 | 2100 | down 8.3% | falling |
| 100 | Norway | 0.1 | 2100 | unchanged | rising |
| 100 | Slovakia | 0.1 | 2100 | unchanged | falling |
| 102 | Bulgaria | 0.08 | 2100 | down 11.1% | volatile |
| 102 | Croatia | 0.08 | 2100 | down 20.0% | volatile |
| 102 | Haiti | 0.08 | 2100 | down 11.1% | volatile |
| 102 | East Timor | 0.08 | 2100 | unchanged | volatile |
| 106 | Cuba | 0.07 | 2100 | unchanged | volatile |
| 106 | Guinea-Bissau | 0.07 | 2100 | down 56.2% | 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 | Maldives | 0.06 | 2100 | down 14.3% | falling |
| 112 | Costa Rica | 0.05 | 2100 | unchanged | volatile |
| 112 | Hong Kong | 0.05 | 2100 | unchanged | falling |
| 112 | Panama | 0.05 | 2100 | unchanged | volatile |
| 115 | Albania | 0.04 | 2100 | down 20.0% | volatile |
| 115 | El Salvador | 0.04 | 2100 | unchanged | volatile |
| 117 | Armenia | 0.03 | 2100 | down 25.0% | volatile |
| 117 | Bosnia and Herzegovina | 0.03 | 2100 | unchanged | volatile |
| 117 | Namibia | 0.03 | 2100 | unchanged | volatile |
| 117 | Portugal | 0.03 | 2100 | unchanged | volatile |
| 121 | Cyprus | 0.02 | 2100 | unchanged | volatile |
| 121 | Georgia | 0.02 | 2100 | unchanged | volatile |
| 121 | Guyana | 0.02 | 2100 | down 33.3% | volatile |
| 121 | Lesotho | 0.02 | 2100 | unchanged | volatile |
| 121 | Luxembourg | 0.02 | 2100 | unchanged | volatile |
| 121 | North Macedonia | 0.02 | 2100 | down 33.3% | volatile |
| 121 | Malta | 0.02 | 2100 | unchanged | falling |
| 121 | Puerto Rico | 0.02 | 2100 | unchanged | volatile |
| 121 | Trinidad and Tobago | 0.02 | 2100 | unchanged | falling |
| 121 | Saint Vincent and the Grenadines | 0.02 | 2100 | down 33.3% | volatile |
| 131 | Aruba | 0.01 | 2100 | unchanged | falling |
| 131 | Belize | 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 | falling |
| 131 | Vanuatu | 0.01 | 2100 | unchanged | volatile |
| 131 | Samoa | 0.01 | 2100 | unchanged | volatile |
| 139 | Austria | 0 | 2100 | β | flat |
| 139 | Bangladesh | 0 | 2100 | down 100.0% | volatile |
| 139 | Bahrain | 0 | 2100 | β | volatile |
| 139 | Bahamas | 0 | 2100 | β | volatile |
| 139 | Bolivia | 0 | 2100 | β | volatile |
| 139 | Canada | 0 | 2100 | β | volatile |
| 139 | Switzerland | 0 | 2100 | β | flat |
| 139 | Denmark | 0 | 2100 | β | volatile |
| 139 | Estonia | 0 | 2100 | β | flat |
| 139 | Ethiopia | 0 | 2100 | β | volatile |
| 139 | Finland | 0 | 2100 | β | flat |
| 139 | Gabon | 0 | 2100 | β | volatile |
| 139 | Iceland | 0 | 2100 | β | flat |
| 139 | Jordan | 0 | 2100 | β | volatile |
| 139 | Kyrgyzstan | 0 | 2100 | β | volatile |
| 139 | Saint Lucia | 0 | 2100 | down 100.0% | volatile |
| 139 | Macao | 0 | 2100 | β | volatile |
| 139 | Moldova | 0 | 2100 | β | volatile |
| 139 | Qatar | 0 | 2100 | β | volatile |
| 139 | Rwanda | 0 | 2100 | down 100.0% | volatile |
| 139 | Singapore | 0 | 2100 | β | volatile |
| 139 | Suriname | 0 | 2100 | β | volatile |
| 139 | Slovenia | 0 | 2100 | β | volatile |
| 139 | Eswatini | 0 | 2100 | β | volatile |
| 139 | Syria | 0 | 2100 | β | volatile |
| 139 | Tonga | 0 | 2100 | β | volatile |
| 139 | United States | 0 | 2100 | β | volatile |
| 139 | Zimbabwe | 0 | 2100 | β | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 779.15
- South Africa 0.36
- Central African Republic 0.14
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/