Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. No Education. Female 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. Female is currently reported for 164 countries. The highest value is 60.34 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.135, and the mean is 2.18.
Over the past decade 1 countries rose and 104 fell. The largest increase was in Israel (up 5.3%), and the largest decrease in Belize (down 100.0%).
Wittgenstein Projection: Population age 25-29 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 60.34 | 2100 | down 56.4% | falling |
| 2 | India | 31.28 | 2100 | down 40.2% | volatile |
| 3 | Mali | 28.09 | 2100 | down 58.4% | volatile |
| 4 | Chad | 26.74 | 2100 | down 55.8% | volatile |
| 5 | Burkina Faso | 22 | 2100 | down 59.9% | volatile |
| 6 | Nigeria | 18.81 | 2100 | down 2.3% | volatile |
| 7 | China | 17.78 | 2100 | down 21.3% | volatile |
| 8 | Pakistan | 14.6 | 2100 | down 68.1% | volatile |
| 9 | Mozambique | 12.46 | 2100 | down 61.5% | volatile |
| 10 | Tanzania | 12.37 | 2100 | down 34.0% | volatile |
| 11 | United States | 8.39 | 2100 | down 4.2% | falling |
| 12 | Bangladesh | 7.22 | 2100 | down 55.2% | volatile |
| 13 | Ethiopia | 6.92 | 2100 | down 67.5% | volatile |
| 14 | Madagascar | 6.9 | 2100 | down 54.0% | volatile |
| 15 | Senegal | 6.3 | 2100 | down 46.0% | volatile |
| 16 | Sudan | 5.42 | 2100 | down 63.1% | volatile |
| 17 | Liberia | 4.99 | 2100 | down 58.2% | volatile |
| 18 | Guinea | 4.71 | 2100 | down 50.6% | volatile |
| 19 | Benin | 4.44 | 2100 | down 60.6% | volatile |
| 20 | Uganda | 3.19 | 2100 | down 52.9% | volatile |
| 21 | Egypt | 2.78 | 2100 | down 8.9% | volatile |
| 22 | Democratic Republic of Congo | 2.76 | 2100 | down 3.8% | volatile |
| 23 | Indonesia | 2.49 | 2100 | down 9.5% | volatile |
| 24 | United Kingdom | 2.33 | 2100 | down 10.4% | falling |
| 25 | Sierra Leone | 2.21 | 2100 | down 63.8% | volatile |
| 26 | Russia | 2.08 | 2100 | unchanged | falling |
| 27 | France | 1.96 | 2100 | down 3.0% | volatile |
| 28 | Iraq | 1.65 | 2100 | down 5.2% | volatile |
| 29 | Burundi | 1.62 | 2100 | down 55.6% | volatile |
| 30 | Kenya | 1.61 | 2100 | down 5.3% | volatile |
| 31 | Turkey | 1.58 | 2100 | down 7.6% | volatile |
| 32 | Ghana | 1.57 | 2100 | down 50.2% | volatile |
| 33 | Somalia | 1.55 | 2100 | down 60.6% | volatile |
| 34 | Germany | 1.51 | 2100 | down 13.2% | volatile |
| 35 | Brazil | 1.47 | 2100 | down 8.7% | volatile |
| 36 | Malawi | 1.42 | 2100 | down 61.4% | volatile |
| 36 | Rwanda | 1.42 | 2100 | down 54.0% | volatile |
| 38 | Nepal | 1.16 | 2100 | down 7.2% | volatile |
| 39 | Iran | 1.09 | 2100 | down 6.0% | volatile |
| 40 | Mexico | 0.98 | 2100 | down 6.7% | volatile |
| 41 | Japan | 0.94 | 2100 | down 8.7% | falling |
| 41 | Saudi Arabia | 0.94 | 2100 | down 7.8% | volatile |
| 43 | Canada | 0.92 | 2100 | down 5.2% | flat |
| 44 | Algeria | 0.87 | 2100 | down 5.4% | volatile |
| 45 | Malaysia | 0.77 | 2100 | down 7.2% | volatile |
| 46 | Cote d'Ivoire | 0.69 | 2100 | down 37.3% | volatile |
| 46 | Morocco | 0.69 | 2100 | down 9.2% | volatile |
| 46 | Philippines | 0.69 | 2100 | down 8.0% | volatile |
| 49 | Cameroon | 0.62 | 2100 | down 4.6% | volatile |
| 51 | Myanmar | 0.52 | 2100 | down 8.8% | volatile |
| 51 | Zambia | 0.52 | 2100 | down 3.7% | volatile |
| 53 | Australia | 0.5 | 2100 | down 3.8% | falling |
| 53 | South Korea | 0.5 | 2100 | down 10.7% | falling |
| 53 | Poland | 0.5 | 2100 | down 7.4% | falling |
| 56 | Vietnam | 0.49 | 2100 | down 9.3% | volatile |
| 57 | Thailand | 0.43 | 2100 | down 8.5% | volatile |
| 58 | Colombia | 0.41 | 2100 | down 8.9% | volatile |
| 58 | Italy | 0.41 | 2100 | down 6.8% | falling |
| 58 | Netherlands | 0.41 | 2100 | down 4.7% | volatile |
| 62 | Guatemala | 0.38 | 2100 | down 65.8% | volatile |
| 63 | Ukraine | 0.37 | 2100 | down 2.6% | volatile |
| 64 | Belgium | 0.33 | 2100 | down 2.9% | falling |
| 64 | Jordan | 0.33 | 2100 | down 8.3% | volatile |
| 66 | Cambodia | 0.28 | 2100 | down 52.5% | volatile |
| 67 | Spain | 0.27 | 2100 | unchanged | volatile |
| 68 | Venezuela | 0.26 | 2100 | down 13.3% | volatile |
| 69 | Tunisia | 0.25 | 2100 | down 10.7% | volatile |
| 70 | Argentina | 0.24 | 2100 | down 7.7% | volatile |
| 70 | Romania | 0.24 | 2100 | down 7.7% | volatile |
| 72 | Czechia | 0.23 | 2100 | down 4.2% | falling |
| 73 | Kazakhstan | 0.22 | 2100 | down 8.3% | volatile |
| 73 | Syria | 0.22 | 2100 | down 42.1% | volatile |
| 75 | Tajikistan | 0.21 | 2100 | down 8.7% | volatile |
| 76 | Israel | 0.2 | 2100 | up 5.3% | volatile |
| 77 | Ireland | 0.18 | 2100 | unchanged | rising |
| 77 | Sweden | 0.18 | 2100 | down 5.3% | volatile |
| 79 | Guinea-Bissau | 0.16 | 2100 | down 65.2% | volatile |
| 79 | Greece | 0.16 | 2100 | down 5.9% | volatile |
| 81 | Ecuador | 0.15 | 2100 | down 6.2% | volatile |
| 81 | Peru | 0.15 | 2100 | down 11.8% | volatile |
| 83 | United Arab Emirates | 0.14 | 2100 | down 6.7% | volatile |
| 83 | Bahrain | 0.14 | 2100 | unchanged | falling |
| 85 | Honduras | 0.13 | 2100 | down 7.1% | volatile |
| 86 | Gambia | 0.12 | 2100 | down 58.6% | volatile |
| 86 | Kyrgyzstan | 0.12 | 2100 | down 7.7% | falling |
| 88 | Hungary | 0.11 | 2100 | down 15.4% | volatile |
| 88 | Palestine | 0.11 | 2100 | unchanged | volatile |
| 90 | Belarus | 0.1 | 2100 | down 9.1% | falling |
| 90 | Congo | 0.1 | 2100 | unchanged | volatile |
| 90 | Norway | 0.1 | 2100 | down 9.1% | volatile |
| 90 | Serbia | 0.1 | 2100 | down 16.7% | volatile |
| 90 | Slovakia | 0.1 | 2100 | down 9.1% | falling |
| 95 | Bulgaria | 0.09 | 2100 | unchanged | volatile |
| 95 | Haiti | 0.09 | 2100 | down 10.0% | volatile |
| 97 | Chile | 0.08 | 2100 | down 11.1% | volatile |
| 97 | Lebanon | 0.08 | 2100 | down 11.1% | volatile |
| 97 | Mongolia | 0.08 | 2100 | down 38.5% | volatile |
| 97 | New Zealand | 0.08 | 2100 | down 11.1% | falling |
| 97 | Turkmenistan | 0.08 | 2100 | unchanged | falling |
| 102 | Bolivia | 0.07 | 2100 | down 12.5% | volatile |
| 102 | Nicaragua | 0.07 | 2100 | down 53.3% | volatile |
| 102 | East Timor | 0.07 | 2100 | unchanged | volatile |
| 102 | Zimbabwe | 0.07 | 2100 | unchanged | volatile |
| 106 | Hong Kong | 0.06 | 2100 | unchanged | volatile |
| 107 | Albania | 0.05 | 2100 | down 28.6% | volatile |
| 107 | Kuwait | 0.05 | 2100 | unchanged | volatile |
| 107 | Panama | 0.05 | 2100 | down 16.7% | volatile |
| 107 | Singapore | 0.05 | 2100 | down 16.7% | volatile |
| 111 | Armenia | 0.04 | 2100 | unchanged | falling |
| 111 | Costa Rica | 0.04 | 2100 | unchanged | volatile |
| 111 | Cuba | 0.04 | 2100 | down 20.0% | volatile |
| 111 | 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 70.0% | volatile |
| 115 | Lithuania | 0.03 | 2100 | unchanged | falling |
| 115 | Luxembourg | 0.03 | 2100 | unchanged | volatile |
| 115 | Namibia | 0.03 | 2100 | down 25.0% | volatile |
| 115 | Portugal | 0.03 | 2100 | unchanged | 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 | unchanged | volatile |
| 125 | Iceland | 0.02 | 2100 | unchanged | rising |
| 125 | Jamaica | 0.02 | 2100 | unchanged | falling |
| 125 | Latvia | 0.02 | 2100 | unchanged | volatile |
| 125 | Puerto Rico | 0.02 | 2100 | unchanged | volatile |
| 125 | Eswatini | 0.02 | 2100 | unchanged | volatile |
| 135 | Dominican Republic | 0.01 | 2100 | unchanged | volatile |
| 135 | Guyana | 0.01 | 2100 | unchanged | volatile |
| 135 | Lesotho | 0.01 | 2100 | down 50.0% | volatile |
| 135 | North Macedonia | 0.01 | 2100 | down 50.0% | volatile |
| 135 | Malta | 0.01 | 2100 | unchanged | volatile |
| 135 | Montenegro | 0.01 | 2100 | unchanged | volatile |
| 135 | New Caledonia | 0.01 | 2100 | unchanged | volatile |
| 135 | French Polynesia | 0.01 | 2100 | unchanged | volatile |
| 135 | Qatar | 0.01 | 2100 | down 50.0% | volatile |
| 135 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 135 | Uruguay | 0.01 | 2100 | unchanged | volatile |
| 135 | Vanuatu | 0.01 | 2100 | unchanged | volatile |
| 147 | Aruba | 0 | 2100 | β | volatile |
| 147 | Austria | 0 | 2100 | β | flat |
| 147 | Azerbaijan | 0 | 2100 | β | volatile |
| 147 | Bahamas | 0 | 2100 | β | volatile |
| 147 | Belize | 0 | 2100 | down 100.0% | volatile |
| 147 | Switzerland | 0 | 2100 | β | flat |
| 147 | Cape Verde | 0 | 2100 | β | volatile |
| 147 | Denmark | 0 | 2100 | β | flat |
| 147 | Finland | 0 | 2100 | β | flat |
| 147 | Saint Lucia | 0 | 2100 | β | volatile |
| 147 | Macao | 0 | 2100 | β | volatile |
| 147 | Moldova | 0 | 2100 | β | volatile |
| 147 | Maldives | 0 | 2100 | β | volatile |
| 147 | Mauritius | 0 | 2100 | β | volatile |
| 147 | Sao Tome and Principe | 0 | 2100 | β | volatile |
| 147 | Suriname | 0 | 2100 | β | volatile |
| 147 | Slovenia | 0 | 2100 | β | flat |
| 147 | Tonga | 0 | 2100 | β | volatile |
| 147 | Saint Vincent and the Grenadines | 0 | 2100 | β | volatile |
| 147 | Samoa | 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 382.01
- Central African Republic 0.57
- South Africa 0.39
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/