Wittgenstein Projection: Population age 20-24 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 20-24 in thousands by highest level of educational attainment. No Education. Male is currently reported for 162 countries. The highest value is 105.68 in Indonesia; the lowest is 0 in Samoa.
The median across all reporting countries is 0.21, and the mean is 3.89.
Over the past decade 1 countries rose and 124 fell. The largest increase was in Israel (up 5.0%), and the largest decrease in Cape Verde (down 100.0%).
Wittgenstein Projection: Population … highest No Education. 20-24: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Indonesia | 105.68 | 2100 | down 15.4% | falling |
| 2 | Tanzania | 101.54 | 2100 | down 26.7% | falling |
| 3 | Niger | 39.76 | 2100 | down 60.4% | volatile |
| 4 | India | 32.08 | 2100 | down 18.7% | volatile |
| 5 | Malaysia | 24.42 | 2100 | down 7.5% | falling |
| 6 | Madagascar | 22.32 | 2100 | down 30.4% | volatile |
| 7 | Nigeria | 20.17 | 2100 | down 3.4% | volatile |
| 8 | Somalia | 19.44 | 2100 | down 13.2% | volatile |
| 9 | Chad | 19.23 | 2100 | down 56.9% | volatile |
| 10 | China | 18.56 | 2100 | down 22.4% | volatile |
| 11 | Mali | 18.14 | 2100 | down 61.7% | volatile |
| 12 | Thailand | 14.64 | 2100 | down 13.8% | falling |
| 13 | Burkina Faso | 13.75 | 2100 | down 62.8% | volatile |
| 14 | Bangladesh | 13.28 | 2100 | down 33.9% | volatile |
| 15 | Ghana | 12.64 | 2100 | down 38.9% | volatile |
| 16 | Mozambique | 12.2 | 2100 | down 54.9% | volatile |
| 17 | Iraq | 11.17 | 2100 | down 9.2% | volatile |
| 18 | United States | 10.96 | 2100 | down 6.7% | falling |
| 19 | Pakistan | 9.25 | 2100 | down 66.1% | volatile |
| 20 | Laos | 9.15 | 2100 | down 7.5% | volatile |
| 21 | Guinea | 7.52 | 2100 | down 46.3% | volatile |
| 22 | Burundi | 6.41 | 2100 | down 37.0% | volatile |
| 23 | Liberia | 6.03 | 2100 | down 52.1% | volatile |
| 24 | Turkey | 4.48 | 2100 | down 17.0% | volatile |
| 25 | Ethiopia | 4.1 | 2100 | down 67.5% | volatile |
| 26 | Sudan | 3.81 | 2100 | down 58.0% | volatile |
| 27 | Paraguay | 3.72 | 2100 | down 12.9% | falling |
| 28 | Democratic Republic of Congo | 3.15 | 2100 | down 4.3% | volatile |
| 29 | Egypt | 2.81 | 2100 | down 9.9% | volatile |
| 30 | Senegal | 2.73 | 2100 | down 56.9% | volatile |
| 31 | Gambia | 2.7 | 2100 | down 9.7% | volatile |
| 32 | Benin | 2.69 | 2100 | down 63.5% | volatile |
| 33 | Tunisia | 2.38 | 2100 | down 11.5% | volatile |
| 34 | United Kingdom | 2.35 | 2100 | down 8.2% | falling |
| 35 | Azerbaijan | 2.26 | 2100 | down 10.7% | volatile |
| 36 | Russia | 2.12 | 2100 | down 4.5% | volatile |
| 37 | Mexico | 2.07 | 2100 | down 33.7% | volatile |
| 38 | France | 2.02 | 2100 | down 3.3% | volatile |
| 38 | Kenya | 2.02 | 2100 | down 6.0% | volatile |
| 40 | United Arab Emirates | 1.73 | 2100 | down 20.6% | volatile |
| 41 | Syria | 1.58 | 2100 | down 38.0% | volatile |
| 42 | Germany | 1.54 | 2100 | down 12.0% | volatile |
| 43 | Brazil | 1.46 | 2100 | down 9.3% | volatile |
| 44 | Dominican Republic | 1.44 | 2100 | down 13.3% | falling |
| 45 | Iran | 1.37 | 2100 | down 8.7% | volatile |
| 46 | Cote d'Ivoire | 1.35 | 2100 | down 34.5% | volatile |
| 47 | Saudi Arabia | 1.32 | 2100 | down 8.3% | volatile |
| 48 | Sierra Leone | 1.26 | 2100 | down 66.1% | volatile |
| 49 | Lebanon | 1.23 | 2100 | down 14.0% | falling |
| 50 | Nepal | 1.2 | 2100 | down 11.1% | volatile |
| 51 | Algeria | 1.07 | 2100 | down 6.1% | volatile |
| 51 | Malawi | 1.07 | 2100 | down 52.0% | volatile |
| 53 | Canada | 0.96 | 2100 | down 3.0% | flat |
| 54 | Japan | 0.95 | 2100 | down 8.7% | volatile |
| 54 | Rwanda | 0.95 | 2100 | down 55.8% | volatile |
| 56 | Morocco | 0.87 | 2100 | down 27.5% | volatile |
| 57 | Vietnam | 0.79 | 2100 | down 35.8% | volatile |
| 58 | Philippines | 0.78 | 2100 | down 8.2% | volatile |
| 59 | Zambia | 0.69 | 2100 | down 4.2% | volatile |
| 60 | Cameroon | 0.64 | 2100 | down 7.2% | volatile |
| 60 | Kuwait | 0.64 | 2100 | down 21.0% | falling |
| 62 | Myanmar | 0.58 | 2100 | down 6.5% | volatile |
| 63 | Australia | 0.52 | 2100 | down 3.7% | falling |
| 63 | Poland | 0.52 | 2100 | down 3.7% | falling |
| 65 | Jordan | 0.5 | 2100 | down 31.5% | volatile |
| 65 | South Korea | 0.5 | 2100 | down 10.7% | falling |
| 67 | Colombia | 0.49 | 2100 | down 18.3% | volatile |
| 67 | Spain | 0.49 | 2100 | down 5.8% | volatile |
| 69 | Italy | 0.42 | 2100 | down 8.7% | falling |
| 69 | Netherlands | 0.42 | 2100 | down 6.7% | volatile |
| 71 | South Africa | 0.38 | 2100 | down 9.5% | volatile |
| 72 | Ukraine | 0.37 | 2100 | down 7.5% | volatile |
| 73 | Belgium | 0.34 | 2100 | down 2.9% | falling |
| 73 | Guatemala | 0.34 | 2100 | down 46.9% | volatile |
| 75 | Venezuela | 0.3 | 2100 | down 9.1% | volatile |
| 76 | Argentina | 0.24 | 2100 | down 7.7% | volatile |
| 76 | Czechia | 0.24 | 2100 | down 4.0% | falling |
| 76 | Romania | 0.24 | 2100 | down 7.7% | volatile |
| 79 | Kazakhstan | 0.22 | 2100 | down 12.0% | volatile |
| 79 | Tajikistan | 0.22 | 2100 | down 8.3% | volatile |
| 81 | Israel | 0.21 | 2100 | up 5.0% | volatile |
| 81 | Cambodia | 0.21 | 2100 | down 50.0% | volatile |
| 83 | Sweden | 0.2 | 2100 | unchanged | flat |
| 84 | Bhutan | 0.19 | 2100 | down 9.5% | volatile |
| 84 | Ecuador | 0.19 | 2100 | down 9.5% | volatile |
| 84 | Ireland | 0.19 | 2100 | unchanged | falling |
| 87 | Greece | 0.18 | 2100 | down 10.0% | volatile |
| 88 | Bolivia | 0.16 | 2100 | down 38.5% | volatile |
| 88 | Peru | 0.16 | 2100 | down 11.1% | volatile |
| 90 | Honduras | 0.14 | 2100 | down 6.7% | volatile |
| 90 | Palestine | 0.14 | 2100 | down 6.7% | volatile |
| 92 | Central African Republic | 0.13 | 2100 | down 7.1% | volatile |
| 92 | Serbia | 0.13 | 2100 | down 7.1% | volatile |
| 94 | Hungary | 0.12 | 2100 | down 7.7% | volatile |
| 94 | Kyrgyzstan | 0.12 | 2100 | down 7.7% | falling |
| 96 | Norway | 0.11 | 2100 | unchanged | rising |
| 96 | Sao Tome and Principe | 0.11 | 2100 | down 15.4% | falling |
| 96 | Slovakia | 0.11 | 2100 | unchanged | volatile |
| 99 | Belarus | 0.1 | 2100 | down 9.1% | falling |
| 99 | Zimbabwe | 0.1 | 2100 | down 9.1% | volatile |
| 101 | Bulgaria | 0.09 | 2100 | down 10.0% | volatile |
| 101 | Chile | 0.09 | 2100 | down 10.0% | volatile |
| 101 | Guinea-Bissau | 0.09 | 2100 | down 66.7% | volatile |
| 101 | Croatia | 0.09 | 2100 | down 18.2% | falling |
| 101 | Haiti | 0.09 | 2100 | down 10.0% | volatile |
| 101 | Mongolia | 0.09 | 2100 | down 30.8% | volatile |
| 101 | New Zealand | 0.09 | 2100 | unchanged | rising |
| 108 | Bahrain | 0.08 | 2100 | down 33.3% | volatile |
| 108 | Turkmenistan | 0.08 | 2100 | unchanged | falling |
| 108 | Uruguay | 0.08 | 2100 | down 20.0% | falling |
| 111 | Nicaragua | 0.07 | 2100 | down 36.4% | volatile |
| 111 | East Timor | 0.07 | 2100 | down 12.5% | volatile |
| 113 | Cuba | 0.06 | 2100 | down 14.3% | volatile |
| 113 | Hong Kong | 0.06 | 2100 | unchanged | volatile |
| 115 | Albania | 0.05 | 2100 | down 28.6% | volatile |
| 115 | Costa Rica | 0.05 | 2100 | unchanged | volatile |
| 115 | Equatorial Guinea | 0.05 | 2100 | down 37.5% | volatile |
| 115 | Panama | 0.05 | 2100 | down 16.7% | volatile |
| 115 | Singapore | 0.05 | 2100 | down 16.7% | volatile |
| 120 | Armenia | 0.04 | 2100 | unchanged | volatile |
| 120 | El Salvador | 0.04 | 2100 | unchanged | volatile |
| 122 | Bosnia and Herzegovina | 0.03 | 2100 | unchanged | volatile |
| 122 | Comoros | 0.03 | 2100 | unchanged | volatile |
| 122 | Gabon | 0.03 | 2100 | down 25.0% | volatile |
| 122 | Jamaica | 0.03 | 2100 | unchanged | volatile |
| 122 | Lithuania | 0.03 | 2100 | unchanged | volatile |
| 122 | Luxembourg | 0.03 | 2100 | unchanged | volatile |
| 122 | Namibia | 0.03 | 2100 | down 25.0% | volatile |
| 122 | Portugal | 0.03 | 2100 | down 25.0% | volatile |
| 130 | Cyprus | 0.02 | 2100 | down 33.3% | falling |
| 130 | Estonia | 0.02 | 2100 | unchanged | volatile |
| 130 | Georgia | 0.02 | 2100 | down 33.3% | volatile |
| 130 | Latvia | 0.02 | 2100 | unchanged | volatile |
| 130 | Maldives | 0.02 | 2100 | down 33.3% | volatile |
| 130 | North Macedonia | 0.02 | 2100 | unchanged | volatile |
| 130 | Malta | 0.02 | 2100 | down 33.3% | falling |
| 130 | Puerto Rico | 0.02 | 2100 | down 33.3% | volatile |
| 130 | Eswatini | 0.02 | 2100 | unchanged | volatile |
| 130 | Saint Vincent and the Grenadines | 0.02 | 2100 | unchanged | rising |
| 140 | Belize | 0.01 | 2100 | down 50.0% | volatile |
| 140 | Guyana | 0.01 | 2100 | unchanged | volatile |
| 140 | Iceland | 0.01 | 2100 | unchanged | volatile |
| 140 | Lesotho | 0.01 | 2100 | down 50.0% | volatile |
| 140 | Montenegro | 0.01 | 2100 | unchanged | volatile |
| 140 | New Caledonia | 0.01 | 2100 | unchanged | volatile |
| 140 | French Polynesia | 0.01 | 2100 | unchanged | volatile |
| 140 | Qatar | 0.01 | 2100 | down 50.0% | volatile |
| 140 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 140 | Vanuatu | 0.01 | 2100 | unchanged | volatile |
| 150 | Aruba | 0 | 2100 | — | volatile |
| 150 | Bahamas | 0 | 2100 | — | volatile |
| 150 | Congo | 0 | 2100 | — | volatile |
| 150 | Cape Verde | 0 | 2100 | down 100.0% | volatile |
| 150 | Saint Lucia | 0 | 2100 | down 100.0% | volatile |
| 150 | Macao | 0 | 2100 | — | volatile |
| 150 | Moldova | 0 | 2100 | — | volatile |
| 150 | Mauritius | 0 | 2100 | — | volatile |
| 150 | Suriname | 0 | 2100 | — | volatile |
| 150 | Slovenia | 0 | 2100 | — | volatile |
| 150 | Tonga | 0 | 2100 | — | volatile |
| 150 | Uganda | 0 | 2100 | down 100.0% | volatile |
| 150 | Samoa | 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 657.88
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/