Wittgenstein Projection: Population age 25-29 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 25-29 in thousands by highest level of educational attainment. Incomplete Primary. Male is currently reported for 158 countries. The highest value is 273.97 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.285, and the mean is 8.69.
Wittgenstein Projection: Population age … 25-29 Incomplete Primary.: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 273.97 | 2100 | down 16.4% | rising |
| 2 | Tanzania | 199.78 | 2100 | down 22.5% | falling |
| 3 | Mali | 132.45 | 2100 | down 24.2% | rising |
| 4 | Madagascar | 100.03 | 2100 | down 32.0% | falling |
| 5 | Burkina Faso | 86.98 | 2100 | down 27.5% | rising |
| 6 | Uganda | 86.44 | 2100 | down 32.7% | falling |
| 7 | Sudan | 57.58 | 2100 | down 42.2% | falling |
| 8 | Burundi | 52.01 | 2100 | down 29.6% | falling |
| 9 | Democratic Republic of Congo | 48.69 | 2100 | down 44.3% | falling |
| 10 | Liberia | 42.11 | 2100 | down 29.1% | rising |
| 11 | Guinea | 29.21 | 2100 | down 31.9% | falling |
| 12 | Zambia | 26.27 | 2100 | down 39.4% | falling |
| 13 | Cote d'Ivoire | 24.49 | 2100 | down 42.6% | falling |
| 14 | Senegal | 23.6 | 2100 | down 30.4% | falling |
| 15 | Sierra Leone | 11.91 | 2100 | down 34.1% | falling |
| 16 | Chad | 11.37 | 2100 | down 49.9% | falling |
| 17 | Syria | 10.41 | 2100 | down 38.3% | volatile |
| 18 | Cambodia | 9.72 | 2100 | down 34.6% | volatile |
| 19 | Central African Republic | 9.48 | 2100 | down 35.0% | falling |
| 20 | Somalia | 9.18 | 2100 | down 39.3% | falling |
| 21 | India | 8.49 | 2100 | down 46.5% | volatile |
| 22 | Ghana | 7.72 | 2100 | down 39.7% | falling |
| 23 | Ethiopia | 7.45 | 2100 | down 65.4% | volatile |
| 24 | Bangladesh | 6.76 | 2100 | down 53.7% | volatile |
| 25 | Cameroon | 6.15 | 2100 | down 43.6% | volatile |
| 26 | Morocco | 4.59 | 2100 | down 48.2% | volatile |
| 27 | Mozambique | 4.4 | 2100 | down 59.4% | volatile |
| 28 | Nigeria | 4.29 | 2100 | down 63.4% | volatile |
| 29 | Philippines | 4.01 | 2100 | down 26.2% | volatile |
| 30 | Guatemala | 3.83 | 2100 | down 43.7% | volatile |
| 31 | Congo | 3.75 | 2100 | down 42.0% | falling |
| 32 | United States | 3.48 | 2100 | down 14.5% | volatile |
| 33 | Indonesia | 3.29 | 2100 | down 21.7% | volatile |
| 34 | Rwanda | 3.24 | 2100 | down 49.7% | volatile |
| 35 | Mexico | 3.17 | 2100 | down 18.3% | volatile |
| 36 | Brazil | 2.71 | 2100 | down 9.1% | volatile |
| 37 | Honduras | 2.5 | 2100 | down 37.5% | volatile |
| 38 | Laos | 2.47 | 2100 | down 40.5% | volatile |
| 38 | Myanmar | 2.47 | 2100 | down 32.3% | volatile |
| 40 | Malawi | 2.43 | 2100 | down 59.6% | volatile |
| 41 | Benin | 2.21 | 2100 | down 58.8% | volatile |
| 42 | Iraq | 2.19 | 2100 | down 42.2% | volatile |
| 43 | Kenya | 1.91 | 2100 | down 27.4% | volatile |
| 44 | Pakistan | 1.79 | 2100 | down 65.8% | volatile |
| 45 | Venezuela | 1.76 | 2100 | down 37.6% | volatile |
| 46 | Vietnam | 1.73 | 2100 | down 32.9% | volatile |
| 47 | South Africa | 1.45 | 2100 | down 12.7% | volatile |
| 48 | United Arab Emirates | 1.33 | 2100 | down 37.9% | volatile |
| 49 | Argentina | 1.07 | 2100 | down 19.5% | volatile |
| 50 | Colombia | 1.06 | 2100 | down 8.6% | volatile |
| 51 | Spain | 0.86 | 2100 | down 8.5% | volatile |
| 52 | Gambia | 0.85 | 2100 | down 39.7% | volatile |
| 52 | Russia | 0.85 | 2100 | unchanged | volatile |
| 52 | Thailand | 0.85 | 2100 | down 10.5% | volatile |
| 55 | Dominican Republic | 0.8 | 2100 | down 36.0% | volatile |
| 55 | Gabon | 0.8 | 2100 | down 46.3% | volatile |
| 57 | Nicaragua | 0.78 | 2100 | down 40.9% | volatile |
| 58 | Israel | 0.72 | 2100 | down 4.0% | volatile |
| 59 | Italy | 0.71 | 2100 | down 6.6% | volatile |
| 59 | Lesotho | 0.71 | 2100 | down 39.8% | volatile |
| 61 | Iran | 0.7 | 2100 | down 15.7% | volatile |
| 62 | Turkey | 0.69 | 2100 | down 44.4% | volatile |
| 63 | Saudi Arabia | 0.67 | 2100 | down 10.7% | volatile |
| 64 | Paraguay | 0.63 | 2100 | down 31.5% | volatile |
| 65 | Egypt | 0.6 | 2100 | down 14.3% | volatile |
| 66 | Peru | 0.59 | 2100 | down 10.6% | volatile |
| 67 | Costa Rica | 0.52 | 2100 | down 42.2% | volatile |
| 67 | Qatar | 0.52 | 2100 | down 42.9% | volatile |
| 69 | Australia | 0.5 | 2100 | down 5.7% | volatile |
| 70 | Ecuador | 0.49 | 2100 | down 31.9% | volatile |
| 71 | Bolivia | 0.48 | 2100 | down 27.3% | volatile |
| 72 | Haiti | 0.47 | 2100 | down 33.8% | volatile |
| 73 | Japan | 0.45 | 2100 | down 8.2% | volatile |
| 74 | Malaysia | 0.36 | 2100 | down 10.0% | volatile |
| 75 | Canada | 0.34 | 2100 | down 5.6% | volatile |
| 75 | Ukraine | 0.34 | 2100 | down 2.9% | volatile |
| 77 | Nepal | 0.33 | 2100 | down 29.8% | volatile |
| 78 | Namibia | 0.32 | 2100 | down 39.6% | volatile |
| 79 | Chile | 0.3 | 2100 | down 14.3% | volatile |
| 80 | Zimbabwe | 0.27 | 2100 | down 6.9% | volatile |
| 81 | Kazakhstan | 0.26 | 2100 | down 10.3% | volatile |
| 82 | Algeria | 0.25 | 2100 | down 7.4% | volatile |
| 83 | Guinea-Bissau | 0.23 | 2100 | down 45.2% | volatile |
| 84 | Switzerland | 0.22 | 2100 | down 4.3% | rising |
| 84 | Portugal | 0.22 | 2100 | down 8.3% | volatile |
| 86 | Denmark | 0.21 | 2100 | down 4.5% | rising |
| 87 | El Salvador | 0.2 | 2100 | down 35.5% | volatile |
| 87 | Sweden | 0.2 | 2100 | unchanged | volatile |
| 89 | Austria | 0.18 | 2100 | down 10.0% | rising |
| 89 | Finland | 0.18 | 2100 | down 5.3% | rising |
| 89 | Jordan | 0.18 | 2100 | down 40.0% | volatile |
| 89 | Poland | 0.18 | 2100 | down 5.3% | volatile |
| 93 | Uruguay | 0.17 | 2100 | down 29.2% | volatile |
| 94 | Mauritius | 0.16 | 2100 | down 36.0% | volatile |
| 94 | Palestine | 0.16 | 2100 | down 20.0% | volatile |
| 94 | Vanuatu | 0.16 | 2100 | down 38.5% | volatile |
| 97 | Azerbaijan | 0.14 | 2100 | unchanged | volatile |
| 98 | Comoros | 0.11 | 2100 | down 35.3% | volatile |
| 98 | Norway | 0.11 | 2100 | unchanged | volatile |
| 98 | Sao Tome and Principe | 0.11 | 2100 | down 26.7% | volatile |
| 101 | Hong Kong | 0.1 | 2100 | down 9.1% | volatile |
| 101 | Kuwait | 0.1 | 2100 | down 16.7% | volatile |
| 101 | Panama | 0.1 | 2100 | down 28.6% | volatile |
| 101 | Singapore | 0.1 | 2100 | down 16.7% | volatile |
| 105 | New Zealand | 0.08 | 2100 | down 11.1% | falling |
| 106 | Belize | 0.07 | 2100 | down 41.7% | volatile |
| 106 | Bhutan | 0.07 | 2100 | down 30.0% | volatile |
| 106 | South Korea | 0.07 | 2100 | down 12.5% | falling |
| 106 | Mongolia | 0.07 | 2100 | down 12.5% | volatile |
| 106 | Serbia | 0.07 | 2100 | unchanged | volatile |
| 106 | Turkmenistan | 0.07 | 2100 | unchanged | falling |
| 112 | Bahrain | 0.05 | 2100 | down 16.7% | volatile |
| 112 | Cuba | 0.05 | 2100 | down 16.7% | volatile |
| 112 | Greece | 0.05 | 2100 | unchanged | volatile |
| 112 | Jamaica | 0.05 | 2100 | down 16.7% | volatile |
| 116 | Belarus | 0.04 | 2100 | unchanged | falling |
| 116 | Equatorial Guinea | 0.04 | 2100 | down 20.0% | volatile |
| 116 | Hungary | 0.04 | 2100 | down 20.0% | volatile |
| 116 | Suriname | 0.04 | 2100 | down 33.3% | volatile |
| 116 | Slovenia | 0.04 | 2100 | down 20.0% | volatile |
| 116 | Eswatini | 0.04 | 2100 | down 33.3% | volatile |
| 122 | Croatia | 0.03 | 2100 | down 25.0% | volatile |
| 122 | Kyrgyzstan | 0.03 | 2100 | down 25.0% | volatile |
| 122 | Lebanon | 0.03 | 2100 | down 25.0% | volatile |
| 122 | East Timor | 0.03 | 2100 | down 72.7% | volatile |
| 126 | Armenia | 0.02 | 2100 | unchanged | volatile |
| 126 | Bahamas | 0.02 | 2100 | unchanged | volatile |
| 126 | Bosnia and Herzegovina | 0.02 | 2100 | unchanged | volatile |
| 126 | Cape Verde | 0.02 | 2100 | down 50.0% | volatile |
| 126 | Georgia | 0.02 | 2100 | down 33.3% | falling |
| 126 | Lithuania | 0.02 | 2100 | unchanged | volatile |
| 126 | Macao | 0.02 | 2100 | unchanged | volatile |
| 126 | Moldova | 0.02 | 2100 | unchanged | volatile |
| 126 | North Macedonia | 0.02 | 2100 | down 33.3% | volatile |
| 135 | Albania | 0.01 | 2100 | unchanged | volatile |
| 135 | Cyprus | 0.01 | 2100 | unchanged | volatile |
| 135 | Czechia | 0.01 | 2100 | unchanged | falling |
| 135 | Estonia | 0.01 | 2100 | unchanged | volatile |
| 135 | Iceland | 0.01 | 2100 | unchanged | rising |
| 135 | Latvia | 0.01 | 2100 | unchanged | volatile |
| 135 | Maldives | 0.01 | 2100 | unchanged | volatile |
| 135 | Puerto Rico | 0.01 | 2100 | unchanged | volatile |
| 135 | Slovakia | 0.01 | 2100 | unchanged | flat |
| 135 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 135 | Tunisia | 0.01 | 2100 | down 50.0% | volatile |
| 146 | Aruba | 0 | 2100 | — | volatile |
| 146 | Bulgaria | 0 | 2100 | — | volatile |
| 146 | Guyana | 0 | 2100 | down 100.0% | volatile |
| 146 | Saint Lucia | 0 | 2100 | — | volatile |
| 146 | Malta | 0 | 2100 | — | volatile |
| 146 | Montenegro | 0 | 2100 | — | volatile |
| 146 | New Caledonia | 0 | 2100 | — | volatile |
| 146 | French Polynesia | 0 | 2100 | — | volatile |
| 146 | Romania | 0 | 2100 | — | volatile |
| 146 | Tajikistan | 0 | 2100 | — | volatile |
| 146 | Tonga | 0 | 2100 | — | volatile |
| 146 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 146 | 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 1,428
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/