Wittgenstein Projection: Population in thousands by highest level of educational attainment. No Education. Female by country
Total population in thousands 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...
What the numbers show
Wittgenstein Projection: Population in thousands by highest level of educational attainment. No Education. Female is currently reported for 162 countries. The highest value is 12,396 in India; the lowest is 0 in Slovenia.
The median across all reporting countries is 5.81, and the mean is 270.29.
Over the past decade 5 countries rose and 147 fell. The largest increase was in Sweden (up 9.9%), and the largest decrease in Iran (down 55.6%).
Wittgenstein Projection: Population in thousands by highest level of e: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | India | 12,396 | 2100 | down 44.2% | volatile |
| 2 | Pakistan | 5,751 | 2100 | down 36.5% | falling |
| 3 | Niger | 3,732 | 2100 | down 22.0% | rising |
| 4 | Mali | 2,344 | 2100 | down 26.5% | falling |
| 5 | Ethiopia | 2,260 | 2100 | down 36.9% | falling |
| 6 | Burkina Faso | 2,034 | 2100 | down 26.6% | falling |
| 7 | Chad | 1,642 | 2100 | down 23.7% | falling |
| 8 | Mozambique | 1,509 | 2100 | down 31.7% | falling |
| 9 | Bangladesh | 1,454 | 2100 | down 32.0% | volatile |
| 10 | Sudan | 1,264 | 2100 | down 40.0% | falling |
| 11 | Madagascar | 878.29 | 2100 | down 25.2% | falling |
| 12 | Nigeria | 862.21 | 2100 | down 41.4% | volatile |
| 13 | Senegal | 589.63 | 2100 | down 30.0% | falling |
| 14 | Liberia | 584.7 | 2100 | down 30.5% | falling |
| 15 | Benin | 556.02 | 2100 | down 29.5% | falling |
| 16 | Uganda | 408.52 | 2100 | down 33.1% | falling |
| 17 | Guinea | 389.57 | 2100 | down 36.7% | falling |
| 18 | Ghana | 386.14 | 2100 | down 38.0% | volatile |
| 19 | China | 333.17 | 2100 | down 20.2% | volatile |
| 20 | Nepal | 313.8 | 2100 | down 50.0% | volatile |
| 21 | Egypt | 291.15 | 2100 | down 48.6% | volatile |
| 22 | Tanzania | 283.66 | 2100 | down 25.3% | volatile |
| 23 | Sierra Leone | 280.51 | 2100 | down 34.5% | falling |
| 24 | Malawi | 241.98 | 2100 | down 33.5% | falling |
| 25 | Indonesia | 236.44 | 2100 | down 21.0% | volatile |
| 26 | Guatemala | 230.41 | 2100 | down 35.3% | falling |
| 27 | Burundi | 209.25 | 2100 | down 35.6% | falling |
| 28 | Cote d'Ivoire | 178.77 | 2100 | down 46.4% | volatile |
| 29 | Morocco | 175.92 | 2100 | down 51.7% | volatile |
| 30 | Somalia | 169.94 | 2100 | down 38.2% | volatile |
| 31 | Brazil | 165.68 | 2100 | down 46.6% | volatile |
| 32 | Rwanda | 134.75 | 2100 | down 31.5% | falling |
| 33 | United States | 111.96 | 2100 | down 1.1% | volatile |
| 34 | Syria | 102.61 | 2100 | down 41.5% | volatile |
| 35 | Vietnam | 90.79 | 2100 | down 46.3% | volatile |
| 36 | Democratic Republic of Congo | 81.95 | 2100 | down 48.5% | volatile |
| 37 | Cambodia | 67.18 | 2100 | down 42.8% | volatile |
| 38 | Iraq | 66 | 2100 | down 38.5% | volatile |
| 39 | Malaysia | 53.71 | 2100 | down 9.0% | volatile |
| 41 | France | 48.32 | 2100 | down 15.5% | volatile |
| 42 | United Kingdom | 45.08 | 2100 | down 0.7% | volatile |
| 43 | Iran | 44.66 | 2100 | down 55.6% | volatile |
| 44 | Colombia | 38.26 | 2100 | down 44.1% | volatile |
| 45 | Laos | 37.99 | 2100 | down 30.7% | volatile |
| 46 | Russia | 35.16 | 2100 | down 2.7% | volatile |
| 47 | Guinea-Bissau | 34.38 | 2100 | down 41.0% | volatile |
| 48 | Gambia | 33.81 | 2100 | down 37.3% | volatile |
| 49 | Nicaragua | 31.03 | 2100 | down 38.0% | volatile |
| 50 | Thailand | 30.89 | 2100 | down 16.6% | volatile |
| 51 | Germany | 30.78 | 2100 | down 17.3% | volatile |
| 52 | Turkey | 29.24 | 2100 | down 31.2% | volatile |
| 53 | Honduras | 24.98 | 2100 | down 41.3% | volatile |
| 54 | Saudi Arabia | 23.7 | 2100 | down 25.0% | volatile |
| 55 | Japan | 23.31 | 2100 | down 7.1% | falling |
| 56 | Kenya | 20 | 2100 | down 22.2% | volatile |
| 57 | Philippines | 19.5 | 2100 | down 37.4% | volatile |
| 58 | Algeria | 19.46 | 2100 | down 49.2% | volatile |
| 59 | Cameroon | 17.7 | 2100 | down 48.7% | volatile |
| 60 | Netherlands | 16.28 | 2100 | down 30.2% | volatile |
| 61 | El Salvador | 16.05 | 2100 | down 44.2% | volatile |
| 62 | Canada | 15.91 | 2100 | up 0.3% | volatile |
| 63 | Myanmar | 13.35 | 2100 | down 38.0% | volatile |
| 64 | Central African Republic | 13.22 | 2100 | down 51.8% | volatile |
| 65 | Venezuela | 12.7 | 2100 | down 38.4% | volatile |
| 66 | South Korea | 11.46 | 2100 | down 7.2% | volatile |
| 67 | Paraguay | 11.1 | 2100 | down 24.5% | volatile |
| 68 | Haiti | 10.97 | 2100 | down 54.4% | volatile |
| 69 | Bhutan | 10.49 | 2100 | down 44.7% | volatile |
| 70 | United Arab Emirates | 10.02 | 2100 | down 32.8% | volatile |
| 71 | Argentina | 9.7 | 2100 | down 40.7% | volatile |
| 72 | Australia | 9.39 | 2100 | down 4.9% | volatile |
| 73 | Poland | 9.37 | 2100 | down 3.0% | volatile |
| 74 | Ecuador | 9.16 | 2100 | down 42.6% | volatile |
| 75 | Tunisia | 9.05 | 2100 | down 34.9% | volatile |
| 76 | Peru | 8.47 | 2100 | down 51.3% | volatile |
| 77 | Italy | 8.44 | 2100 | down 3.9% | volatile |
| 78 | South Africa | 7.54 | 2100 | down 36.0% | volatile |
| 79 | Ukraine | 6.54 | 2100 | down 4.2% | volatile |
| 80 | Azerbaijan | 6.24 | 2100 | down 10.0% | volatile |
| 81 | Belgium | 5.99 | 2100 | down 2.3% | volatile |
| 82 | Zambia | 5.87 | 2100 | down 21.5% | volatile |
| 83 | Jordan | 5.75 | 2100 | down 27.5% | volatile |
| 84 | Spain | 5.04 | 2100 | down 9.7% | volatile |
| 85 | Kazakhstan | 4.78 | 2100 | down 6.3% | volatile |
| 86 | Czechia | 4.3 | 2100 | down 1.4% | falling |
| 87 | Kuwait | 4.16 | 2100 | down 28.4% | volatile |
| 88 | Romania | 3.77 | 2100 | down 11.9% | volatile |
| 89 | Tajikistan | 3.63 | 2100 | down 25.3% | volatile |
| 90 | Lebanon | 3.57 | 2100 | down 12.9% | volatile |
| 91 | Israel | 3.37 | 2100 | down 16.8% | volatile |
| 92 | Ireland | 3.01 | 2100 | up 1.7% | falling |
| 93 | Greece | 2.99 | 2100 | down 7.1% | volatile |
| 95 | Sweden | 2.89 | 2100 | up 9.9% | volatile |
| 96 | Chile | 2.69 | 2100 | down 40.1% | volatile |
| 97 | Bolivia | 2.58 | 2100 | down 51.5% | volatile |
| 98 | Palestine | 2.43 | 2100 | down 14.4% | volatile |
| 99 | Dominican Republic | 2.28 | 2100 | down 26.5% | volatile |
| 100 | Hungary | 2.22 | 2100 | down 4.7% | volatile |
| 101 | Qatar | 2.2 | 2100 | down 28.3% | volatile |
| 102 | Belarus | 2 | 2100 | down 6.1% | falling |
| 103 | Cape Verde | 1.91 | 2100 | down 19.1% | volatile |
| 104 | Slovakia | 1.87 | 2100 | down 2.1% | falling |
| 105 | Kyrgyzstan | 1.86 | 2100 | down 2.6% | volatile |
| 106 | Serbia | 1.71 | 2100 | down 6.0% | volatile |
| 107 | Norway | 1.59 | 2100 | up 8.9% | volatile |
| 108 | New Zealand | 1.56 | 2100 | down 1.3% | volatile |
| 109 | Belize | 1.47 | 2100 | down 31.6% | falling |
| 110 | Lesotho | 1.45 | 2100 | down 40.1% | volatile |
| 112 | Turkmenistan | 1.29 | 2100 | down 3.7% | volatile |
| 113 | Namibia | 1.22 | 2100 | down 45.3% | volatile |
| 114 | Costa Rica | 1.14 | 2100 | down 42.1% | volatile |
| 114 | Equatorial Guinea | 1.14 | 2100 | down 44.1% | volatile |
| 116 | Portugal | 1.13 | 2100 | down 45.9% | volatile |
| 118 | Bulgaria | 1.09 | 2100 | down 7.6% | volatile |
| 119 | Mongolia | 0.92 | 2100 | down 19.3% | volatile |
| 120 | Congo | 0.91 | 2100 | down 14.2% | volatile |
| 121 | Albania | 0.9 | 2100 | down 10.9% | volatile |
| 122 | East Timor | 0.86 | 2100 | down 36.3% | volatile |
| 123 | Comoros | 0.82 | 2100 | down 47.4% | volatile |
| 124 | Bahrain | 0.8 | 2100 | down 20.0% | volatile |
| 125 | Lithuania | 0.79 | 2100 | down 1.2% | volatile |
| 126 | Cuba | 0.78 | 2100 | down 17.9% | volatile |
| 127 | Croatia | 0.73 | 2100 | down 8.8% | volatile |
| 127 | Vanuatu | 0.73 | 2100 | down 43.0% | volatile |
| 129 | Armenia | 0.65 | 2100 | down 4.4% | volatile |
| 130 | Bosnia and Herzegovina | 0.62 | 2100 | down 18.4% | volatile |
| 130 | Luxembourg | 0.62 | 2100 | down 22.5% | volatile |
| 132 | Latvia | 0.58 | 2100 | down 4.9% | volatile |
| 133 | Puerto Rico | 0.57 | 2100 | down 25.0% | volatile |
| 134 | Zimbabwe | 0.49 | 2100 | down 12.5% | volatile |
| 135 | Cyprus | 0.47 | 2100 | down 2.1% | volatile |
| 136 | Georgia | 0.43 | 2100 | down 4.4% | volatile |
| 137 | Jamaica | 0.4 | 2100 | down 20.0% | volatile |
| 138 | North Macedonia | 0.36 | 2100 | down 40.0% | volatile |
| 139 | Sao Tome and Principe | 0.35 | 2100 | down 32.7% | volatile |
| 140 | Uruguay | 0.33 | 2100 | down 26.7% | volatile |
| 141 | Gabon | 0.3 | 2100 | down 26.8% | volatile |
| 142 | Estonia | 0.28 | 2100 | unchanged | falling |
| 142 | Eswatini | 0.28 | 2100 | down 36.4% | volatile |
| 144 | Montenegro | 0.24 | 2100 | down 4.0% | volatile |
| 145 | Maldives | 0.22 | 2100 | down 47.6% | volatile |
| 146 | New Caledonia | 0.19 | 2100 | down 17.4% | volatile |
| 147 | Trinidad and Tobago | 0.18 | 2100 | down 18.2% | volatile |
| 148 | Malta | 0.16 | 2100 | down 11.1% | volatile |
| 148 | Mauritius | 0.16 | 2100 | down 50.0% | volatile |
| 150 | Guyana | 0.14 | 2100 | down 26.3% | volatile |
| 150 | Iceland | 0.14 | 2100 | up 7.7% | volatile |
| 152 | French Polynesia | 0.11 | 2100 | down 8.3% | volatile |
| 153 | Aruba | 0.09 | 2100 | down 30.8% | volatile |
| 154 | Moldova | 0.08 | 2100 | down 11.1% | volatile |
| 155 | Macao | 0.06 | 2100 | down 25.0% | volatile |
| 156 | Bahamas | 0.05 | 2100 | down 16.7% | volatile |
| 156 | Saint Vincent and the Grenadines | 0.05 | 2100 | unchanged | volatile |
| 158 | Saint Lucia | 0.04 | 2100 | down 20.0% | volatile |
| 159 | Tonga | 0.03 | 2100 | unchanged | volatile |
| 159 | Samoa | 0.03 | 2100 | unchanged | volatile |
| 161 | Suriname | 0.02 | 2100 | unchanged | volatile |
| 162 | Austria | 0 | 2100 | β | flat |
| 162 | Switzerland | 0 | 2100 | β | flat |
| 162 | Denmark | 0 | 2100 | β | volatile |
| 162 | Finland | 0 | 2100 | β | flat |
| 162 | Slovenia | 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 46,518
About this data
Total population in thousands 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/