Wittgenstein Projection: Population age 25-29 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 25-29 in thousands by highest level of educational attainment. No Education. Total is currently reported for 161 countries. The highest value is 122.68 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.31, and the mean is 4.54.
Over the past decade 2 countries rose and 121 fell. The largest increase was in Central African Republic (up 8.7%), and the largest decrease in Pakistan (down 68.1%).
Wittgenstein Projection … attainment. No Education. 25-29: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 122.68 | 2100 | down 56.3% | falling |
| 2 | India | 65.08 | 2100 | down 40.3% | volatile |
| 3 | Mali | 56.97 | 2100 | down 58.3% | volatile |
| 4 | Chad | 53.51 | 2100 | down 55.8% | falling |
| 5 | Burkina Faso | 44.75 | 2100 | down 59.8% | volatile |
| 6 | Nigeria | 38.34 | 2100 | down 2.2% | volatile |
| 7 | China | 36.79 | 2100 | down 21.3% | volatile |
| 8 | Pakistan | 29.8 | 2100 | down 68.1% | volatile |
| 9 | Mozambique | 25.13 | 2100 | down 61.5% | volatile |
| 10 | Tanzania | 25.03 | 2100 | down 33.9% | volatile |
| 11 | United States | 17.16 | 2100 | down 4.1% | volatile |
| 12 | Bangladesh | 14.71 | 2100 | down 54.8% | volatile |
| 13 | Ethiopia | 13.97 | 2100 | down 67.4% | volatile |
| 13 | Madagascar | 13.97 | 2100 | down 54.0% | volatile |
| 15 | Senegal | 12.74 | 2100 | down 45.7% | volatile |
| 16 | Sudan | 10.94 | 2100 | down 63.0% | volatile |
| 17 | Liberia | 10.23 | 2100 | down 58.1% | volatile |
| 18 | Guinea | 9.62 | 2100 | down 50.5% | volatile |
| 19 | Benin | 8.99 | 2100 | down 60.5% | volatile |
| 20 | Uganda | 6.43 | 2100 | down 52.8% | volatile |
| 21 | Egypt | 5.69 | 2100 | down 8.8% | volatile |
| 22 | Democratic Republic of Congo | 5.5 | 2100 | down 3.7% | volatile |
| 23 | Indonesia | 5.08 | 2100 | down 9.1% | volatile |
| 24 | United Kingdom | 4.77 | 2100 | down 10.5% | falling |
| 25 | Sierra Leone | 4.4 | 2100 | down 63.8% | volatile |
| 26 | Russia | 4.28 | 2100 | down 0.2% | falling |
| 27 | France | 4.03 | 2100 | down 2.4% | volatile |
| 28 | Iraq | 3.41 | 2100 | down 5.5% | volatile |
| 29 | Burundi | 3.27 | 2100 | down 55.5% | volatile |
| 30 | Kenya | 3.24 | 2100 | down 5.0% | volatile |
| 31 | Ghana | 3.23 | 2100 | down 50.0% | volatile |
| 31 | Turkey | 3.23 | 2100 | down 8.0% | volatile |
| 33 | Germany | 3.1 | 2100 | down 12.9% | volatile |
| 33 | Somalia | 3.1 | 2100 | down 60.6% | volatile |
| 35 | Brazil | 3 | 2100 | down 8.8% | volatile |
| 36 | Malawi | 2.87 | 2100 | down 61.5% | volatile |
| 37 | Rwanda | 2.83 | 2100 | down 54.0% | volatile |
| 38 | Nepal | 2.37 | 2100 | down 7.1% | volatile |
| 39 | Iran | 2.24 | 2100 | down 5.5% | volatile |
| 40 | Mexico | 2 | 2100 | down 6.5% | volatile |
| 41 | Japan | 1.94 | 2100 | down 8.1% | falling |
| 42 | Saudi Arabia | 1.9 | 2100 | down 8.7% | volatile |
| 43 | Canada | 1.89 | 2100 | down 5.0% | falling |
| 44 | Algeria | 1.79 | 2100 | down 5.3% | volatile |
| 45 | Malaysia | 1.58 | 2100 | down 7.1% | volatile |
| 46 | Morocco | 1.42 | 2100 | down 8.4% | volatile |
| 46 | Philippines | 1.42 | 2100 | down 7.8% | volatile |
| 48 | Cote d'Ivoire | 1.39 | 2100 | down 36.8% | volatile |
| 49 | Cameroon | 1.24 | 2100 | down 4.6% | volatile |
| 50 | Central African Republic | 1.13 | 2100 | up 8.7% | volatile |
| 51 | Myanmar | 1.06 | 2100 | down 7.8% | volatile |
| 52 | Zambia | 1.05 | 2100 | down 3.7% | volatile |
| 53 | Australia | 1.02 | 2100 | down 5.6% | falling |
| 53 | South Korea | 1.02 | 2100 | down 12.1% | falling |
| 53 | Poland | 1.02 | 2100 | down 7.3% | falling |
| 56 | Vietnam | 1.01 | 2100 | down 9.0% | volatile |
| 57 | Thailand | 0.88 | 2100 | down 10.2% | volatile |
| 58 | Italy | 0.85 | 2100 | down 7.6% | falling |
| 59 | Colombia | 0.84 | 2100 | down 8.7% | volatile |
| 59 | Netherlands | 0.84 | 2100 | down 5.6% | volatile |
| 61 | South Africa | 0.79 | 2100 | down 10.2% | volatile |
| 62 | Guatemala | 0.77 | 2100 | down 65.6% | volatile |
| 63 | Ukraine | 0.75 | 2100 | down 3.8% | falling |
| 64 | Belgium | 0.68 | 2100 | down 2.9% | falling |
| 64 | Jordan | 0.68 | 2100 | down 8.1% | volatile |
| 66 | Cambodia | 0.56 | 2100 | down 53.7% | volatile |
| 67 | Spain | 0.55 | 2100 | down 1.8% | volatile |
| 68 | Venezuela | 0.54 | 2100 | down 11.5% | volatile |
| 69 | Tunisia | 0.51 | 2100 | down 12.1% | volatile |
| 70 | Romania | 0.49 | 2100 | down 9.3% | volatile |
| 71 | Argentina | 0.48 | 2100 | down 9.4% | volatile |
| 71 | Czechia | 0.48 | 2100 | down 4.0% | falling |
| 73 | Kazakhstan | 0.46 | 2100 | down 8.0% | volatile |
| 74 | Syria | 0.45 | 2100 | down 42.3% | volatile |
| 75 | Tajikistan | 0.44 | 2100 | down 6.4% | volatile |
| 76 | Israel | 0.4 | 2100 | up 5.3% | volatile |
| 77 | Sweden | 0.38 | 2100 | down 2.6% | rising |
| 78 | Ireland | 0.37 | 2100 | unchanged | rising |
| 79 | Greece | 0.34 | 2100 | down 5.6% | volatile |
| 80 | Peru | 0.32 | 2100 | down 5.9% | volatile |
| 81 | Ecuador | 0.31 | 2100 | down 6.1% | volatile |
| 81 | Guinea-Bissau | 0.31 | 2100 | down 65.9% | volatile |
| 83 | United Arab Emirates | 0.29 | 2100 | down 9.4% | volatile |
| 83 | Bahrain | 0.29 | 2100 | unchanged | volatile |
| 85 | Honduras | 0.26 | 2100 | down 7.1% | volatile |
| 86 | Gambia | 0.24 | 2100 | down 59.3% | volatile |
| 86 | Hungary | 0.24 | 2100 | down 7.7% | falling |
| 86 | Kyrgyzstan | 0.24 | 2100 | down 7.7% | falling |
| 89 | Palestine | 0.22 | 2100 | down 4.3% | volatile |
| 90 | Belarus | 0.21 | 2100 | down 4.5% | falling |
| 90 | Norway | 0.21 | 2100 | down 4.5% | rising |
| 90 | Serbia | 0.21 | 2100 | down 12.5% | volatile |
| 90 | Slovakia | 0.21 | 2100 | down 4.5% | falling |
| 94 | Congo | 0.2 | 2100 | down 4.8% | volatile |
| 95 | Bulgaria | 0.18 | 2100 | down 10.0% | volatile |
| 95 | Haiti | 0.18 | 2100 | down 10.0% | volatile |
| 97 | Lebanon | 0.17 | 2100 | down 10.5% | volatile |
| 97 | New Zealand | 0.17 | 2100 | down 5.6% | falling |
| 99 | Chile | 0.16 | 2100 | down 11.1% | volatile |
| 99 | Mongolia | 0.16 | 2100 | down 38.5% | volatile |
| 99 | Turkmenistan | 0.16 | 2100 | down 5.9% | falling |
| 102 | Bolivia | 0.15 | 2100 | down 6.2% | volatile |
| 102 | Nicaragua | 0.15 | 2100 | down 53.1% | volatile |
| 104 | East Timor | 0.14 | 2100 | unchanged | volatile |
| 105 | Zimbabwe | 0.13 | 2100 | down 7.1% | volatile |
| 106 | Albania | 0.11 | 2100 | down 21.4% | volatile |
| 106 | Hong Kong | 0.11 | 2100 | down 15.4% | volatile |
| 106 | Singapore | 0.11 | 2100 | down 15.4% | volatile |
| 109 | Kuwait | 0.1 | 2100 | down 9.1% | volatile |
| 109 | Panama | 0.1 | 2100 | down 9.1% | volatile |
| 111 | Cuba | 0.09 | 2100 | down 10.0% | volatile |
| 112 | Costa Rica | 0.08 | 2100 | down 11.1% | volatile |
| 112 | El Salvador | 0.08 | 2100 | down 11.1% | volatile |
| 114 | Armenia | 0.07 | 2100 | down 12.5% | falling |
| 114 | Laos | 0.07 | 2100 | down 66.7% | volatile |
| 114 | Lithuania | 0.07 | 2100 | unchanged | volatile |
| 114 | Namibia | 0.07 | 2100 | unchanged | volatile |
| 114 | Portugal | 0.07 | 2100 | unchanged | volatile |
| 119 | Bosnia and Herzegovina | 0.06 | 2100 | down 14.3% | volatile |
| 119 | Comoros | 0.06 | 2100 | unchanged | volatile |
| 119 | Equatorial Guinea | 0.06 | 2100 | down 14.3% | volatile |
| 119 | Croatia | 0.06 | 2100 | down 14.3% | volatile |
| 119 | Paraguay | 0.06 | 2100 | down 14.3% | volatile |
| 124 | Cyprus | 0.05 | 2100 | unchanged | falling |
| 124 | Georgia | 0.05 | 2100 | unchanged | volatile |
| 124 | Luxembourg | 0.05 | 2100 | down 16.7% | volatile |
| 124 | Puerto Rico | 0.05 | 2100 | unchanged | volatile |
| 128 | Bhutan | 0.04 | 2100 | unchanged | volatile |
| 128 | Gabon | 0.04 | 2100 | unchanged | volatile |
| 128 | Latvia | 0.04 | 2100 | unchanged | volatile |
| 128 | Eswatini | 0.04 | 2100 | unchanged | volatile |
| 132 | Dominican Republic | 0.03 | 2100 | unchanged | volatile |
| 132 | Estonia | 0.03 | 2100 | unchanged | falling |
| 132 | Iceland | 0.03 | 2100 | unchanged | rising |
| 132 | Jamaica | 0.03 | 2100 | down 25.0% | volatile |
| 132 | Lesotho | 0.03 | 2100 | down 25.0% | volatile |
| 132 | North Macedonia | 0.03 | 2100 | unchanged | volatile |
| 138 | Malta | 0.02 | 2100 | unchanged | volatile |
| 138 | Montenegro | 0.02 | 2100 | down 33.3% | volatile |
| 138 | New Caledonia | 0.02 | 2100 | unchanged | volatile |
| 138 | Qatar | 0.02 | 2100 | down 60.0% | volatile |
| 138 | Uruguay | 0.02 | 2100 | unchanged | volatile |
| 143 | Bahamas | 0.01 | 2100 | unchanged | volatile |
| 143 | Belize | 0.01 | 2100 | down 50.0% | volatile |
| 143 | Guyana | 0.01 | 2100 | unchanged | volatile |
| 143 | Macao | 0.01 | 2100 | unchanged | volatile |
| 143 | Moldova | 0.01 | 2100 | unchanged | volatile |
| 143 | French Polynesia | 0.01 | 2100 | unchanged | volatile |
| 143 | Trinidad and Tobago | 0.01 | 2100 | down 50.0% | volatile |
| 143 | Vanuatu | 0.01 | 2100 | unchanged | volatile |
| 151 | Aruba | 0 | 2100 | — | volatile |
| 151 | Azerbaijan | 0 | 2100 | — | volatile |
| 151 | Cape Verde | 0 | 2100 | — | volatile |
| 151 | Saint Lucia | 0 | 2100 | — | volatile |
| 151 | Maldives | 0 | 2100 | — | volatile |
| 151 | Mauritius | 0 | 2100 | — | volatile |
| 151 | Sao Tome and Principe | 0 | 2100 | — | volatile |
| 151 | Suriname | 0 | 2100 | — | volatile |
| 151 | Tonga | 0 | 2100 | — | volatile |
| 151 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 151 | 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 777.71
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/