Wittgenstein Projection: Population age 25-29 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 25-29 in thousands by highest level of educational attainment. No Education. Male is currently reported for 161 countries. The highest value is 62.34 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.16, and the mean is 2.31.
Over the past decade 2 countries rose and 111 fell. The largest increase was in Central African Republic (up 7.7%), and the largest decrease in Belize (down 100.0%).
Wittgenstein Projection … educational No Education. 25-29: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 62.34 | 2100 | down 56.2% | falling |
| 2 | India | 33.8 | 2100 | down 40.3% | volatile |
| 3 | Mali | 28.88 | 2100 | down 58.2% | volatile |
| 4 | Chad | 26.77 | 2100 | down 55.7% | falling |
| 5 | Burkina Faso | 22.75 | 2100 | down 59.6% | volatile |
| 6 | Nigeria | 19.53 | 2100 | down 2.0% | volatile |
| 7 | China | 19.01 | 2100 | down 21.3% | volatile |
| 8 | Pakistan | 15.21 | 2100 | down 68.0% | volatile |
| 9 | Mozambique | 12.67 | 2100 | down 61.4% | volatile |
| 10 | Tanzania | 12.66 | 2100 | down 33.9% | volatile |
| 11 | United States | 8.77 | 2100 | down 4.0% | volatile |
| 12 | Bangladesh | 7.49 | 2100 | down 54.4% | volatile |
| 13 | Madagascar | 7.07 | 2100 | down 53.9% | volatile |
| 14 | Ethiopia | 7.05 | 2100 | down 67.4% | volatile |
| 15 | Senegal | 6.44 | 2100 | down 45.4% | volatile |
| 16 | Sudan | 5.53 | 2100 | down 62.9% | volatile |
| 17 | Liberia | 5.24 | 2100 | down 58.0% | volatile |
| 18 | Guinea | 4.91 | 2100 | down 50.4% | volatile |
| 19 | Benin | 4.55 | 2100 | down 60.4% | volatile |
| 20 | Uganda | 3.24 | 2100 | down 52.8% | volatile |
| 21 | Egypt | 2.92 | 2100 | down 8.5% | volatile |
| 22 | Democratic Republic of Congo | 2.74 | 2100 | down 3.5% | volatile |
| 23 | Indonesia | 2.59 | 2100 | down 8.8% | volatile |
| 24 | United Kingdom | 2.44 | 2100 | down 10.6% | falling |
| 25 | Russia | 2.2 | 2100 | down 0.5% | falling |
| 25 | Sierra Leone | 2.2 | 2100 | down 63.6% | volatile |
| 27 | France | 2.06 | 2100 | down 2.8% | volatile |
| 28 | Iraq | 1.76 | 2100 | down 5.9% | volatile |
| 29 | Ghana | 1.66 | 2100 | down 49.8% | volatile |
| 29 | Turkey | 1.66 | 2100 | down 7.8% | volatile |
| 31 | Burundi | 1.65 | 2100 | down 55.5% | volatile |
| 32 | Kenya | 1.63 | 2100 | down 4.7% | volatile |
| 33 | Germany | 1.59 | 2100 | down 12.6% | volatile |
| 34 | Somalia | 1.55 | 2100 | down 60.7% | volatile |
| 35 | Brazil | 1.53 | 2100 | down 8.9% | volatile |
| 36 | Malawi | 1.46 | 2100 | down 61.4% | volatile |
| 37 | Rwanda | 1.41 | 2100 | down 53.9% | volatile |
| 38 | Nepal | 1.21 | 2100 | down 6.2% | volatile |
| 39 | Iran | 1.15 | 2100 | down 5.0% | volatile |
| 40 | Mexico | 1.02 | 2100 | down 6.4% | volatile |
| 41 | Japan | 1 | 2100 | down 7.4% | falling |
| 42 | Canada | 0.97 | 2100 | down 4.9% | falling |
| 42 | Saudi Arabia | 0.97 | 2100 | down 8.5% | volatile |
| 44 | Algeria | 0.92 | 2100 | down 5.2% | volatile |
| 45 | Malaysia | 0.81 | 2100 | down 8.0% | volatile |
| 46 | Morocco | 0.73 | 2100 | down 7.6% | volatile |
| 46 | Philippines | 0.73 | 2100 | down 7.6% | volatile |
| 48 | Cote d'Ivoire | 0.7 | 2100 | down 36.9% | volatile |
| 49 | Cameroon | 0.62 | 2100 | down 4.6% | volatile |
| 50 | Central African Republic | 0.56 | 2100 | up 7.7% | volatile |
| 51 | Myanmar | 0.54 | 2100 | down 6.9% | volatile |
| 52 | Australia | 0.53 | 2100 | down 3.6% | falling |
| 52 | South Korea | 0.53 | 2100 | down 11.7% | falling |
| 52 | Zambia | 0.53 | 2100 | down 1.9% | volatile |
| 55 | Poland | 0.52 | 2100 | down 8.8% | falling |
| 55 | Vietnam | 0.52 | 2100 | down 8.8% | volatile |
| 57 | Thailand | 0.45 | 2100 | down 10.0% | volatile |
| 58 | Italy | 0.44 | 2100 | down 6.4% | volatile |
| 59 | Colombia | 0.43 | 2100 | down 8.5% | volatile |
| 59 | Netherlands | 0.43 | 2100 | down 6.5% | volatile |
| 61 | South Africa | 0.4 | 2100 | down 11.1% | volatile |
| 62 | Guatemala | 0.39 | 2100 | down 65.8% | volatile |
| 62 | Ukraine | 0.39 | 2100 | down 2.5% | falling |
| 64 | Belgium | 0.35 | 2100 | down 2.8% | falling |
| 64 | Jordan | 0.35 | 2100 | down 7.9% | volatile |
| 66 | Cambodia | 0.29 | 2100 | down 52.5% | volatile |
| 67 | Spain | 0.28 | 2100 | down 3.4% | volatile |
| 67 | Venezuela | 0.28 | 2100 | down 9.7% | volatile |
| 69 | Tunisia | 0.26 | 2100 | down 13.3% | volatile |
| 70 | Argentina | 0.25 | 2100 | down 7.4% | volatile |
| 70 | Czechia | 0.25 | 2100 | down 3.8% | falling |
| 70 | Romania | 0.25 | 2100 | down 10.7% | volatile |
| 73 | Kazakhstan | 0.24 | 2100 | down 7.7% | volatile |
| 74 | Syria | 0.23 | 2100 | down 42.5% | volatile |
| 74 | Tajikistan | 0.23 | 2100 | down 4.2% | volatile |
| 76 | Israel | 0.21 | 2100 | up 5.0% | volatile |
| 77 | Sweden | 0.2 | 2100 | unchanged | rising |
| 78 | Ireland | 0.19 | 2100 | unchanged | rising |
| 79 | Greece | 0.18 | 2100 | down 5.3% | volatile |
| 80 | Ecuador | 0.16 | 2100 | down 5.9% | volatile |
| 80 | Guinea-Bissau | 0.16 | 2100 | down 64.4% | volatile |
| 80 | Peru | 0.16 | 2100 | down 5.9% | volatile |
| 83 | United Arab Emirates | 0.15 | 2100 | down 11.8% | volatile |
| 83 | Bahrain | 0.15 | 2100 | unchanged | volatile |
| 85 | Honduras | 0.13 | 2100 | down 13.3% | volatile |
| 86 | Gambia | 0.12 | 2100 | down 60.0% | volatile |
| 86 | Hungary | 0.12 | 2100 | down 7.7% | falling |
| 86 | Kyrgyzstan | 0.12 | 2100 | down 7.7% | falling |
| 89 | Belarus | 0.11 | 2100 | unchanged | falling |
| 89 | Norway | 0.11 | 2100 | unchanged | rising |
| 89 | Palestine | 0.11 | 2100 | down 8.3% | volatile |
| 89 | Serbia | 0.11 | 2100 | down 8.3% | volatile |
| 89 | Slovakia | 0.11 | 2100 | unchanged | falling |
| 94 | Congo | 0.1 | 2100 | down 9.1% | volatile |
| 95 | Bulgaria | 0.09 | 2100 | down 10.0% | volatile |
| 95 | Haiti | 0.09 | 2100 | down 10.0% | volatile |
| 95 | Lebanon | 0.09 | 2100 | down 10.0% | volatile |
| 95 | New Zealand | 0.09 | 2100 | unchanged | falling |
| 99 | Bolivia | 0.08 | 2100 | unchanged | volatile |
| 99 | Chile | 0.08 | 2100 | down 11.1% | volatile |
| 99 | Mongolia | 0.08 | 2100 | down 38.5% | volatile |
| 99 | Nicaragua | 0.08 | 2100 | down 50.0% | volatile |
| 99 | Turkmenistan | 0.08 | 2100 | down 11.1% | falling |
| 104 | East Timor | 0.07 | 2100 | unchanged | volatile |
| 104 | Zimbabwe | 0.07 | 2100 | unchanged | volatile |
| 106 | Albania | 0.06 | 2100 | down 14.3% | volatile |
| 106 | Hong Kong | 0.06 | 2100 | unchanged | volatile |
| 106 | Singapore | 0.06 | 2100 | down 14.3% | volatile |
| 109 | Cuba | 0.05 | 2100 | unchanged | volatile |
| 109 | Kuwait | 0.05 | 2100 | down 16.7% | volatile |
| 109 | Panama | 0.05 | 2100 | down 16.7% | volatile |
| 112 | Armenia | 0.04 | 2100 | unchanged | volatile |
| 112 | Costa Rica | 0.04 | 2100 | down 20.0% | volatile |
| 112 | El Salvador | 0.04 | 2100 | down 20.0% | volatile |
| 115 | Bosnia and Herzegovina | 0.03 | 2100 | unchanged | volatile |
| 115 | Comoros | 0.03 | 2100 | unchanged | volatile |
| 115 | Equatorial Guinea | 0.03 | 2100 | unchanged | volatile |
| 115 | Croatia | 0.03 | 2100 | unchanged | volatile |
| 115 | Laos | 0.03 | 2100 | down 72.7% | volatile |
| 115 | Lithuania | 0.03 | 2100 | down 25.0% | volatile |
| 115 | Luxembourg | 0.03 | 2100 | unchanged | volatile |
| 115 | Namibia | 0.03 | 2100 | down 25.0% | volatile |
| 115 | Portugal | 0.03 | 2100 | down 25.0% | volatile |
| 115 | Paraguay | 0.03 | 2100 | unchanged | volatile |
| 125 | Bhutan | 0.02 | 2100 | unchanged | volatile |
| 125 | Cyprus | 0.02 | 2100 | down 33.3% | falling |
| 125 | Estonia | 0.02 | 2100 | unchanged | falling |
| 125 | Gabon | 0.02 | 2100 | unchanged | volatile |
| 125 | Georgia | 0.02 | 2100 | down 33.3% | falling |
| 125 | Iceland | 0.02 | 2100 | unchanged | volatile |
| 125 | Jamaica | 0.02 | 2100 | unchanged | volatile |
| 125 | Latvia | 0.02 | 2100 | unchanged | volatile |
| 125 | North Macedonia | 0.02 | 2100 | unchanged | volatile |
| 125 | Puerto Rico | 0.02 | 2100 | down 33.3% | volatile |
| 125 | Eswatini | 0.02 | 2100 | unchanged | volatile |
| 136 | Dominican Republic | 0.01 | 2100 | down 50.0% | volatile |
| 136 | Guyana | 0.01 | 2100 | unchanged | volatile |
| 136 | Lesotho | 0.01 | 2100 | down 50.0% | volatile |
| 136 | Malta | 0.01 | 2100 | unchanged | volatile |
| 136 | Montenegro | 0.01 | 2100 | unchanged | volatile |
| 136 | New Caledonia | 0.01 | 2100 | unchanged | volatile |
| 136 | French Polynesia | 0.01 | 2100 | unchanged | volatile |
| 136 | Qatar | 0.01 | 2100 | down 66.7% | volatile |
| 136 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 136 | Uruguay | 0.01 | 2100 | unchanged | volatile |
| 136 | Vanuatu | 0.01 | 2100 | unchanged | volatile |
| 147 | Aruba | 0 | 2100 | — | volatile |
| 147 | Azerbaijan | 0 | 2100 | — | volatile |
| 147 | Bahamas | 0 | 2100 | — | volatile |
| 147 | Belize | 0 | 2100 | down 100.0% | volatile |
| 147 | Cape Verde | 0 | 2100 | — | volatile |
| 147 | Saint Lucia | 0 | 2100 | — | volatile |
| 147 | Macao | 0 | 2100 | — | volatile |
| 147 | Moldova | 0 | 2100 | down 100.0% | volatile |
| 147 | Maldives | 0 | 2100 | — | volatile |
| 147 | Mauritius | 0 | 2100 | — | volatile |
| 147 | Sao Tome and Principe | 0 | 2100 | — | volatile |
| 147 | Suriname | 0 | 2100 | — | volatile |
| 147 | Tonga | 0 | 2100 | — | volatile |
| 147 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 147 | 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 395.69
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/