Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. Incomplete Primary. Male by country
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2)...
What the numbers show
Wittgenstein Projection: Population age 15-19 in thousands by highest level of educational attainment. Incomplete Primary. Male is currently reported for 166 countries. The highest value is 453.87 in Sudan; the lowest is 0 in Samoa.
The median across all reporting countries is 0.185, and the mean is 13.6.
Wittgenstein Projection: Population age 15-19 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Sudan | 453.87 | 2100 | down 18.0% | falling |
| 2 | Tanzania | 339.4 | 2100 | down 23.9% | falling |
| 3 | Uganda | 253.72 | 2100 | down 32.7% | falling |
| 4 | Niger | 190.45 | 2100 | down 22.6% | rising |
| 5 | Burkina Faso | 163.01 | 2100 | down 31.7% | falling |
| 6 | Ethiopia | 116.52 | 2100 | down 36.1% | volatile |
| 7 | Mali | 93.74 | 2100 | down 29.3% | falling |
| 8 | Democratic Republic of the Congo | 85.77 | 2100 | down 47.9% | volatile |
| 9 | Rwanda | 58.46 | 2100 | down 41.2% | falling |
| 10 | Chad | 48.2 | 2100 | down 32.7% | falling |
| 11 | Burundi | 44.65 | 2100 | down 35.4% | falling |
| 12 | Zambia | 39.09 | 2100 | down 45.3% | falling |
| 13 | Mozambique | 38.28 | 2100 | down 30.3% | volatile |
| 14 | Senegal | 34.26 | 2100 | down 38.0% | falling |
| 15 | Liberia | 33.94 | 2100 | down 34.1% | falling |
| 16 | India | 27.21 | 2100 | down 42.2% | volatile |
| 17 | Madagascar | 21.49 | 2100 | down 46.6% | volatile |
| 18 | Malawi | 21.41 | 2100 | down 40.6% | volatile |
| 19 | Bangladesh | 21.29 | 2100 | down 38.8% | volatile |
| 20 | Guinea | 20.96 | 2100 | down 39.8% | falling |
| 21 | Côte d’Ivoire | 16.27 | 2100 | down 48.6% | volatile |
| 22 | Pakistan | 15.08 | 2100 | down 43.0% | volatile |
| 23 | Central African Republic | 13.64 | 2100 | down 36.1% | volatile |
| 24 | Cameroon | 10.31 | 2100 | down 50.3% | volatile |
| 25 | Syrian Arab Republic | 8.04 | 2100 | down 39.4% | volatile |
| 26 | Sierra Leone | 7.32 | 2100 | down 39.4% | falling |
| 27 | Cambodia | 7.17 | 2100 | down 41.3% | volatile |
| 28 | Guatemala | 5.96 | 2100 | down 39.6% | volatile |
| 29 | Honduras | 3.92 | 2100 | down 39.8% | volatile |
| 30 | Morocco | 3.81 | 2100 | down 48.9% | volatile |
| 31 | Mexico | 3.33 | 2100 | down 29.9% | volatile |
| 32 | Ghana | 3.32 | 2100 | down 37.0% | volatile |
| 33 | Congo | 3.26 | 2100 | down 47.5% | volatile |
| 34 | Somalia | 3.24 | 2100 | down 45.4% | falling |
| 35 | Philippines | 3.2 | 2100 | down 34.3% | volatile |
| 36 | Myanmar | 3.09 | 2100 | down 37.4% | volatile |
| 37 | Brazil | 2.94 | 2100 | down 31.1% | volatile |
| 38 | Venezuela | 2.38 | 2100 | down 40.4% | volatile |
| 39 | Eswatini | 1.67 | 2100 | down 16.1% | volatile |
| 40 | Lesotho | 1.49 | 2100 | down 43.1% | volatile |
| 41 | Argentina | 1.47 | 2100 | down 35.8% | volatile |
| 42 | Nigeria | 1.4 | 2100 | down 83.5% | volatile |
| 43 | South Africa | 1.28 | 2100 | down 11.7% | volatile |
| 44 | Iraq | 1.25 | 2100 | down 66.8% | volatile |
| 45 | Benin | 1.16 | 2100 | down 58.1% | volatile |
| 46 | Poland | 1.12 | 2100 | down 11.8% | volatile |
| 47 | Kazakhstan | 1.11 | 2100 | down 19.6% | volatile |
| 48 | Comoros | 1.1 | 2100 | down 47.4% | volatile |
| 49 | Colombia | 1.08 | 2100 | down 27.5% | volatile |
| 49 | Haiti | 1.08 | 2100 | down 53.6% | volatile |
| 51 | Viet Nam | 0.93 | 2100 | down 10.6% | volatile |
| 52 | Nicaragua | 0.83 | 2100 | down 42.4% | volatile |
| 53 | Indonesia | 0.79 | 2100 | down 28.8% | volatile |
| 54 | Qatar | 0.77 | 2100 | down 39.8% | volatile |
| 54 | Russia | 0.77 | 2100 | down 8.3% | volatile |
| 56 | Dominican Republic | 0.72 | 2100 | down 39.5% | volatile |
| 56 | Israel | 0.72 | 2100 | down 7.7% | volatile |
| 58 | Paraguay | 0.66 | 2100 | down 38.3% | volatile |
| 59 | Italy | 0.65 | 2100 | down 11.0% | volatile |
| 60 | Lao People’s Democratic Republic | 0.57 | 2100 | down 50.4% | volatile |
| 61 | Egypt | 0.56 | 2100 | down 8.2% | volatile |
| 62 | Ecuador | 0.53 | 2100 | down 43.6% | volatile |
| 63 | Bolivia | 0.51 | 2100 | down 34.6% | volatile |
| 64 | Kenya | 0.5 | 2100 | down 81.6% | volatile |
| 65 | Australia | 0.49 | 2100 | down 2.0% | falling |
| 65 | Peru | 0.49 | 2100 | down 23.4% | volatile |
| 67 | Gambia | 0.48 | 2100 | down 43.5% | volatile |
| 68 | Costa Rica | 0.47 | 2100 | down 42.7% | volatile |
| 69 | Guinea-Bissau | 0.46 | 2100 | down 48.3% | volatile |
| 70 | Gabon | 0.41 | 2100 | down 48.8% | volatile |
| 71 | Japan | 0.4 | 2100 | down 11.1% | falling |
| 71 | Thailand | 0.4 | 2100 | down 9.1% | volatile |
| 73 | Portugal | 0.35 | 2100 | down 27.1% | volatile |
| 74 | Canada | 0.33 | 2100 | down 2.9% | falling |
| 74 | Namibia | 0.33 | 2100 | down 47.6% | volatile |
| 76 | Ukraine | 0.3 | 2100 | down 11.8% | volatile |
| 77 | Nepal | 0.28 | 2100 | down 39.1% | volatile |
| 78 | Chile | 0.23 | 2100 | down 11.5% | volatile |
| 79 | Switzerland | 0.21 | 2100 | down 4.5% | flat |
| 79 | Denmark | 0.21 | 2100 | unchanged | rising |
| 81 | Spain | 0.2 | 2100 | down 16.7% | volatile |
| 81 | Türkiye | 0.2 | 2100 | down 64.9% | volatile |
| 83 | Sweden | 0.19 | 2100 | unchanged | rising |
| 84 | Finland | 0.18 | 2100 | unchanged | rising |
| 84 | Sao Tome and Principe | 0.18 | 2100 | down 25.0% | volatile |
| 84 | Zimbabwe | 0.18 | 2100 | down 14.3% | volatile |
| 87 | United Arab Emirates | 0.17 | 2100 | down 10.5% | volatile |
| 87 | Austria | 0.17 | 2100 | down 5.6% | rising |
| 89 | Jordan | 0.15 | 2100 | down 40.0% | volatile |
| 89 | Mauritius | 0.15 | 2100 | down 31.8% | volatile |
| 89 | Uruguay | 0.15 | 2100 | down 31.8% | volatile |
| 92 | Malaysia | 0.14 | 2100 | down 12.5% | volatile |
| 92 | El Salvador | 0.14 | 2100 | down 33.3% | volatile |
| 92 | Vanuatu | 0.14 | 2100 | down 44.0% | volatile |
| 95 | Azerbaijan | 0.12 | 2100 | down 7.7% | volatile |
| 96 | Belize | 0.11 | 2100 | down 38.9% | volatile |
| 96 | Norway | 0.11 | 2100 | unchanged | rising |
| 98 | Algeria | 0.1 | 2100 | down 65.5% | volatile |
| 98 | Hong Kong Special Administrative Region, People's Republic of China | 0.1 | 2100 | unchanged | volatile |
| 98 | Iran | 0.1 | 2100 | down 64.3% | volatile |
| 98 | Kuwait | 0.1 | 2100 | down 16.7% | volatile |
| 102 | Saudi Arabia | 0.09 | 2100 | down 10.0% | volatile |
| 102 | Singapore | 0.09 | 2100 | down 10.0% | volatile |
| 104 | Mongolia | 0.08 | 2100 | down 33.3% | volatile |
| 105 | Panama | 0.07 | 2100 | down 30.0% | volatile |
| 106 | Equatorial Guinea | 0.06 | 2100 | down 45.5% | volatile |
| 106 | Korea | 0.06 | 2100 | down 14.3% | falling |
| 106 | Turkmenistan | 0.06 | 2100 | down 14.3% | volatile |
| 109 | New Zealand | 0.05 | 2100 | unchanged | falling |
| 110 | Bahrain | 0.04 | 2100 | down 20.0% | volatile |
| 110 | Belarus | 0.04 | 2100 | unchanged | falling |
| 110 | Hungary | 0.04 | 2100 | unchanged | volatile |
| 110 | Serbia | 0.04 | 2100 | unchanged | volatile |
| 110 | Slovenia | 0.04 | 2100 | unchanged | falling |
| 115 | Greece | 0.03 | 2100 | unchanged | volatile |
| 115 | Croatia | 0.03 | 2100 | unchanged | volatile |
| 115 | Kyrgyzstan | 0.03 | 2100 | unchanged | volatile |
| 115 | Suriname | 0.03 | 2100 | down 25.0% | volatile |
| 119 | Armenia | 0.02 | 2100 | unchanged | volatile |
| 119 | Bahamas | 0.02 | 2100 | down 33.3% | volatile |
| 119 | Bosnia and Herzegovina | 0.02 | 2100 | unchanged | volatile |
| 119 | Cuba | 0.02 | 2100 | down 33.3% | volatile |
| 119 | Georgia | 0.02 | 2100 | unchanged | volatile |
| 119 | Jamaica | 0.02 | 2100 | down 33.3% | volatile |
| 119 | Lebanon | 0.02 | 2100 | down 50.0% | volatile |
| 119 | Lithuania | 0.02 | 2100 | unchanged | volatile |
| 119 | Macao Special Administrative Region, People's Republic of China | 0.02 | 2100 | unchanged | volatile |
| 119 | Moldova | 0.02 | 2100 | unchanged | volatile |
| 119 | Maldives | 0.02 | 2100 | down 33.3% | volatile |
| 119 | Palestine | 0.02 | 2100 | down 60.0% | volatile |
| 131 | Bhutan | 0.01 | 2100 | unchanged | volatile |
| 131 | Cabo Verde | 0.01 | 2100 | down 50.0% | volatile |
| 131 | Cyprus | 0.01 | 2100 | unchanged | volatile |
| 131 | Czechia | 0.01 | 2100 | unchanged | rising |
| 131 | Estonia | 0.01 | 2100 | unchanged | volatile |
| 131 | Iceland | 0.01 | 2100 | unchanged | rising |
| 131 | Latvia | 0.01 | 2100 | unchanged | volatile |
| 131 | North Macedonia | 0.01 | 2100 | unchanged | volatile |
| 131 | Malta | 0.01 | 2100 | unchanged | volatile |
| 131 | Puerto Rico | 0.01 | 2100 | unchanged | volatile |
| 131 | Slovak Republic | 0.01 | 2100 | unchanged | flat |
| 131 | Tunisia | 0.01 | 2100 | down 50.0% | volatile |
| 143 | Aruba | 0 | 2100 | — | volatile |
| 143 | Albania | 0 | 2100 | down 100.0% | volatile |
| 143 | Belgium | 0 | 2100 | — | flat |
| 143 | Bulgaria | 0 | 2100 | — | volatile |
| 143 | China (People’s Republic of) | 0 | 2100 | — | flat |
| 143 | Germany | 0 | 2100 | — | flat |
| 143 | France | 0 | 2100 | — | flat |
| 143 | United Kingdom | 0 | 2100 | — | flat |
| 143 | Guyana | 0 | 2100 | — | volatile |
| 143 | Ireland | 0 | 2100 | — | flat |
| 143 | Saint Lucia | 0 | 2100 | — | volatile |
| 143 | Luxembourg | 0 | 2100 | — | flat |
| 143 | Montenegro | 0 | 2100 | — | volatile |
| 143 | New Caledonia | 0 | 2100 | — | flat |
| 143 | Netherlands | 0 | 2100 | — | flat |
| 143 | French Polynesia | 0 | 2100 | — | volatile |
| 143 | Romania | 0 | 2100 | — | volatile |
| 143 | Tajikistan | 0 | 2100 | — | volatile |
| 143 | Timor-Leste | 0 | 2100 | down 100.0% | volatile |
| 143 | Tonga | 0 | 2100 | — | volatile |
| 143 | Trinidad and Tobago | 0 | 2100 | down 100.0% | volatile |
| 143 | United States | 0 | 2100 | — | volatile |
| 143 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 143 | Samoa | 0 | 2100 | — | volatile |
About this data
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. 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/