Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Incomplete Primary. Male by country
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. Projections are based on collected census and survey data for the base year (around 2010) and the Medium Shared Socioeconomic Pathways (SSP2)...
What the numbers show
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Incomplete Primary. Male is currently reported for 158 countries. The highest value is 239.16 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.245, and the mean is 8.17.
Wittgenstein Projection … age Incomplete 20-24 Primary.: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 239.16 | 2100 | down 20.9% | rising |
| 2 | Tanzania | 184.52 | 2100 | down 24.2% | falling |
| 3 | Burkina Faso | 128.91 | 2100 | down 29.3% | falling |
| 4 | Mali | 111.43 | 2100 | down 28.1% | rising |
| 5 | Uganda | 87.25 | 2100 | down 34.5% | falling |
| 6 | Madagascar | 83.27 | 2100 | down 34.6% | falling |
| 7 | Democratic Republic of Congo | 51.34 | 2100 | down 47.1% | volatile |
| 8 | Sudan | 42.19 | 2100 | down 45.1% | volatile |
| 9 | Burundi | 35.69 | 2100 | down 34.4% | falling |
| 10 | Senegal | 33.39 | 2100 | down 33.5% | falling |
| 11 | Liberia | 32.64 | 2100 | down 31.9% | rising |
| 12 | Zambia | 31.74 | 2100 | down 43.0% | falling |
| 13 | Cote d'Ivoire | 23.47 | 2100 | down 45.7% | falling |
| 14 | Guinea | 23.32 | 2100 | down 36.2% | falling |
| 15 | Rwanda | 22.6 | 2100 | down 40.0% | falling |
| 16 | Cambodia | 9.62 | 2100 | down 38.0% | volatile |
| 17 | Sierra Leone | 9.41 | 2100 | down 36.6% | falling |
| 18 | Central African Republic | 9.02 | 2100 | down 36.1% | volatile |
| 19 | Malawi | 8.44 | 2100 | down 42.9% | volatile |
| 20 | India | 8.06 | 2100 | down 22.1% | volatile |
| 21 | Chad | 7.69 | 2100 | down 52.9% | volatile |
| 22 | Cameroon | 7.11 | 2100 | down 47.1% | volatile |
| 23 | Syria | 6.88 | 2100 | down 37.3% | volatile |
| 24 | Somalia | 6.79 | 2100 | down 42.7% | falling |
| 25 | Ghana | 5.8 | 2100 | down 42.4% | falling |
| 26 | Morocco | 5.69 | 2100 | down 48.9% | volatile |
| 27 | Bangladesh | 4.52 | 2100 | down 55.0% | volatile |
| 28 | Guatemala | 4.5 | 2100 | down 40.2% | volatile |
| 29 | Ethiopia | 4.36 | 2100 | down 66.3% | volatile |
| 30 | Congo | 3.55 | 2100 | down 45.0% | volatile |
| 31 | Philippines | 3.48 | 2100 | down 23.9% | volatile |
| 32 | Honduras | 3.44 | 2100 | down 38.2% | volatile |
| 33 | Mexico | 3.07 | 2100 | down 22.1% | volatile |
| 34 | Mozambique | 2.73 | 2100 | down 61.1% | volatile |
| 35 | Brazil | 2.6 | 2100 | down 9.1% | volatile |
| 36 | Myanmar | 2.52 | 2100 | down 34.9% | volatile |
| 37 | Indonesia | 2.22 | 2100 | down 22.9% | volatile |
| 38 | Iraq | 2.08 | 2100 | down 56.4% | volatile |
| 39 | Venezuela | 2.07 | 2100 | down 39.1% | volatile |
| 40 | Laos | 1.72 | 2100 | down 40.9% | volatile |
| 41 | Nigeria | 1.69 | 2100 | down 79.4% | volatile |
| 42 | Kenya | 1.58 | 2100 | down 43.4% | volatile |
| 43 | South Africa | 1.36 | 2100 | down 13.9% | volatile |
| 44 | Benin | 1.34 | 2100 | down 61.6% | volatile |
| 45 | Argentina | 1.18 | 2100 | down 28.0% | volatile |
| 46 | Vietnam | 1.14 | 2100 | down 19.7% | volatile |
| 47 | Pakistan | 1.06 | 2100 | down 65.8% | volatile |
| 48 | Colombia | 1.04 | 2100 | down 14.0% | volatile |
| 48 | United States | 1.04 | 2100 | down 25.7% | volatile |
| 50 | Lesotho | 0.98 | 2100 | down 41.7% | volatile |
| 51 | Russia | 0.81 | 2100 | down 4.7% | volatile |
| 52 | Thailand | 0.8 | 2100 | down 9.1% | volatile |
| 53 | Israel | 0.78 | 2100 | down 8.2% | volatile |
| 54 | Qatar | 0.7 | 2100 | down 42.1% | volatile |
| 55 | Dominican Republic | 0.67 | 2100 | down 36.8% | volatile |
| 55 | Italy | 0.67 | 2100 | down 8.2% | volatile |
| 57 | Gambia | 0.65 | 2100 | down 41.4% | volatile |
| 58 | United Arab Emirates | 0.63 | 2100 | down 36.4% | volatile |
| 59 | Nicaragua | 0.6 | 2100 | down 41.7% | volatile |
| 60 | Spain | 0.59 | 2100 | down 10.6% | volatile |
| 61 | Egypt | 0.58 | 2100 | down 10.8% | volatile |
| 62 | Gabon | 0.57 | 2100 | down 48.2% | volatile |
| 63 | Ecuador | 0.56 | 2100 | down 37.1% | volatile |
| 64 | Peru | 0.55 | 2100 | down 14.1% | volatile |
| 65 | Comoros | 0.54 | 2100 | down 44.3% | volatile |
| 66 | Costa Rica | 0.51 | 2100 | down 42.7% | volatile |
| 66 | Haiti | 0.51 | 2100 | down 40.0% | volatile |
| 68 | Australia | 0.49 | 2100 | down 3.9% | falling |
| 68 | Iran | 0.49 | 2100 | down 36.4% | volatile |
| 68 | Paraguay | 0.49 | 2100 | down 30.0% | volatile |
| 71 | Bolivia | 0.44 | 2100 | down 25.4% | volatile |
| 72 | Japan | 0.43 | 2100 | down 8.5% | falling |
| 73 | Turkey | 0.35 | 2100 | down 60.7% | volatile |
| 74 | Canada | 0.34 | 2100 | down 2.9% | volatile |
| 75 | Ukraine | 0.32 | 2100 | down 5.9% | volatile |
| 76 | Chile | 0.28 | 2100 | down 12.5% | volatile |
| 76 | Sao Tome and Principe | 0.28 | 2100 | down 26.3% | volatile |
| 78 | Namibia | 0.26 | 2100 | down 40.9% | volatile |
| 79 | Kazakhstan | 0.25 | 2100 | down 10.7% | volatile |
| 80 | Nepal | 0.24 | 2100 | down 17.2% | volatile |
| 80 | Saudi Arabia | 0.24 | 2100 | down 14.3% | volatile |
| 82 | Guinea-Bissau | 0.23 | 2100 | down 46.5% | volatile |
| 83 | Zimbabwe | 0.22 | 2100 | down 12.0% | volatile |
| 84 | Switzerland | 0.21 | 2100 | down 4.5% | falling |
| 84 | Denmark | 0.21 | 2100 | unchanged | rising |
| 84 | Portugal | 0.21 | 2100 | down 8.7% | volatile |
| 87 | Mauritius | 0.2 | 2100 | down 33.3% | volatile |
| 87 | Sweden | 0.2 | 2100 | unchanged | rising |
| 89 | Vanuatu | 0.19 | 2100 | down 42.4% | volatile |
| 90 | Algeria | 0.18 | 2100 | down 51.4% | volatile |
| 90 | Finland | 0.18 | 2100 | down 5.3% | rising |
| 90 | Malaysia | 0.18 | 2100 | down 5.3% | volatile |
| 90 | Uruguay | 0.18 | 2100 | down 30.8% | volatile |
| 94 | Austria | 0.17 | 2100 | down 10.5% | rising |
| 94 | Poland | 0.17 | 2100 | down 5.6% | volatile |
| 94 | El Salvador | 0.17 | 2100 | down 34.6% | volatile |
| 97 | Jordan | 0.14 | 2100 | down 39.1% | volatile |
| 98 | Azerbaijan | 0.13 | 2100 | down 7.1% | volatile |
| 99 | Palestine | 0.12 | 2100 | down 25.0% | volatile |
| 100 | Norway | 0.11 | 2100 | unchanged | rising |
| 101 | Hong Kong | 0.1 | 2100 | down 9.1% | volatile |
| 101 | Kuwait | 0.1 | 2100 | down 9.1% | volatile |
| 103 | Singapore | 0.09 | 2100 | down 18.2% | volatile |
| 104 | Belize | 0.08 | 2100 | down 42.9% | volatile |
| 104 | New Zealand | 0.08 | 2100 | down 11.1% | falling |
| 104 | Panama | 0.08 | 2100 | down 33.3% | volatile |
| 107 | Equatorial Guinea | 0.07 | 2100 | down 41.7% | volatile |
| 107 | Mongolia | 0.07 | 2100 | down 22.2% | volatile |
| 109 | South Korea | 0.06 | 2100 | down 14.3% | falling |
| 109 | Turkmenistan | 0.06 | 2100 | down 14.3% | falling |
| 111 | Bahrain | 0.05 | 2100 | down 16.7% | volatile |
| 111 | Bhutan | 0.05 | 2100 | down 37.5% | volatile |
| 113 | Belarus | 0.04 | 2100 | unchanged | falling |
| 113 | Hungary | 0.04 | 2100 | down 20.0% | volatile |
| 113 | Jamaica | 0.04 | 2100 | down 33.3% | volatile |
| 113 | Serbia | 0.04 | 2100 | down 20.0% | volatile |
| 113 | Suriname | 0.04 | 2100 | down 20.0% | volatile |
| 113 | Slovenia | 0.04 | 2100 | unchanged | falling |
| 113 | Eswatini | 0.04 | 2100 | down 33.3% | volatile |
| 120 | Cuba | 0.03 | 2100 | down 40.0% | volatile |
| 120 | Greece | 0.03 | 2100 | unchanged | volatile |
| 120 | Croatia | 0.03 | 2100 | down 25.0% | volatile |
| 120 | Kyrgyzstan | 0.03 | 2100 | unchanged | volatile |
| 124 | Armenia | 0.02 | 2100 | unchanged | volatile |
| 124 | Bahamas | 0.02 | 2100 | unchanged | volatile |
| 124 | Bosnia and Herzegovina | 0.02 | 2100 | unchanged | volatile |
| 124 | Georgia | 0.02 | 2100 | unchanged | volatile |
| 124 | Lebanon | 0.02 | 2100 | down 33.3% | volatile |
| 124 | Lithuania | 0.02 | 2100 | unchanged | volatile |
| 124 | Macao | 0.02 | 2100 | unchanged | volatile |
| 124 | Moldova | 0.02 | 2100 | unchanged | volatile |
| 124 | East Timor | 0.02 | 2100 | down 66.7% | volatile |
| 133 | Cape Verde | 0.01 | 2100 | down 66.7% | volatile |
| 133 | Cyprus | 0.01 | 2100 | unchanged | volatile |
| 133 | Czechia | 0.01 | 2100 | unchanged | rising |
| 133 | Estonia | 0.01 | 2100 | unchanged | volatile |
| 133 | Iceland | 0.01 | 2100 | unchanged | rising |
| 133 | Latvia | 0.01 | 2100 | unchanged | volatile |
| 133 | Maldives | 0.01 | 2100 | unchanged | volatile |
| 133 | North Macedonia | 0.01 | 2100 | down 50.0% | volatile |
| 133 | Puerto Rico | 0.01 | 2100 | unchanged | volatile |
| 133 | Slovakia | 0.01 | 2100 | unchanged | flat |
| 133 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 133 | Tunisia | 0.01 | 2100 | down 50.0% | volatile |
| 145 | Aruba | 0 | 2100 | — | volatile |
| 145 | Albania | 0 | 2100 | — | volatile |
| 145 | Bulgaria | 0 | 2100 | — | volatile |
| 145 | Guyana | 0 | 2100 | — | volatile |
| 145 | Saint Lucia | 0 | 2100 | — | volatile |
| 145 | Malta | 0 | 2100 | — | volatile |
| 145 | Montenegro | 0 | 2100 | — | volatile |
| 145 | New Caledonia | 0 | 2100 | — | volatile |
| 145 | French Polynesia | 0 | 2100 | — | volatile |
| 145 | Romania | 0 | 2100 | — | volatile |
| 145 | Tajikistan | 0 | 2100 | — | volatile |
| 145 | Tonga | 0 | 2100 | — | volatile |
| 145 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 145 | 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 1,345
About this data
Total population in thousands in the specified age group that has pre-primary education or incomplete primary education as the highest level of educational attainment. 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/