Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Incomplete Primary. Total 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. Total is currently reported for 166 countries. The highest value is 539.14 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.445, and the mean is 16.32.
Wittgenstein Projection: Population age 25-29 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 539.14 | 2100 | down 16.5% | rising |
| 2 | Tanzania | 395.09 | 2100 | down 22.6% | falling |
| 3 | Mali | 261.3 | 2100 | down 24.4% | rising |
| 4 | Madagascar | 197.6 | 2100 | down 32.1% | falling |
| 5 | Uganda | 171.64 | 2100 | down 32.8% | falling |
| 6 | Burkina Faso | 171.13 | 2100 | down 27.7% | rising |
| 7 | Sudan | 114.04 | 2100 | down 42.3% | falling |
| 8 | Burundi | 103.01 | 2100 | down 29.7% | falling |
| 9 | Democratic Republic of the Congo | 97.7 | 2100 | down 44.4% | volatile |
| 10 | Liberia | 82.2 | 2100 | down 29.3% | rising |
| 11 | Guinea | 57.24 | 2100 | down 32.0% | falling |
| 12 | Zambia | 52.29 | 2100 | down 39.5% | falling |
| 13 | Côte d’Ivoire | 48.79 | 2100 | down 42.6% | falling |
| 14 | Senegal | 46.7 | 2100 | down 30.7% | falling |
| 15 | Sierra Leone | 23.86 | 2100 | down 34.3% | falling |
| 16 | Chad | 22.74 | 2100 | down 50.0% | falling |
| 17 | Syria | 20.37 | 2100 | down 38.6% | volatile |
| 18 | Central African Republic | 19.03 | 2100 | down 35.3% | falling |
| 19 | Cambodia | 19.01 | 2100 | down 34.8% | volatile |
| 20 | Somalia | 18.33 | 2100 | down 39.3% | falling |
| 21 | India | 16.35 | 2100 | down 46.4% | volatile |
| 22 | Ghana | 15.05 | 2100 | down 39.7% | falling |
| 23 | Ethiopia | 14.76 | 2100 | down 65.5% | volatile |
| 24 | Bangladesh | 13.27 | 2100 | down 54.1% | volatile |
| 25 | Cameroon | 12.26 | 2100 | down 43.7% | volatile |
| 26 | Morocco | 8.96 | 2100 | down 48.4% | volatile |
| 27 | Mozambique | 8.72 | 2100 | down 59.6% | volatile |
| 28 | Nigeria | 8.41 | 2100 | down 63.5% | volatile |
| 29 | Philippines | 7.82 | 2100 | down 26.3% | volatile |
| 30 | Guatemala | 7.53 | 2100 | down 43.9% | volatile |
| 31 | Congo | 7.45 | 2100 | down 42.1% | falling |
| 32 | United States | 6.81 | 2100 | down 14.4% | volatile |
| 33 | Rwanda | 6.5 | 2100 | down 49.8% | volatile |
| 34 | Indonesia | 6.46 | 2100 | down 21.8% | volatile |
| 35 | Mexico | 6.21 | 2100 | down 18.3% | volatile |
| 36 | Brazil | 5.32 | 2100 | down 8.9% | volatile |
| 37 | Honduras | 4.89 | 2100 | down 37.2% | volatile |
| 38 | Myanmar | 4.88 | 2100 | down 32.8% | volatile |
| 39 | Lao People’s Democratic Republic | 4.82 | 2100 | down 40.6% | volatile |
| 40 | Malawi | 4.79 | 2100 | down 59.7% | volatile |
| 41 | Benin | 4.36 | 2100 | down 58.9% | volatile |
| 42 | Iraq | 4.23 | 2100 | down 42.2% | volatile |
| 43 | Kenya | 3.79 | 2100 | down 27.5% | volatile |
| 44 | Pakistan | 3.51 | 2100 | down 65.9% | volatile |
| 45 | Venezuela | 3.45 | 2100 | down 37.5% | volatile |
| 46 | Viet Nam | 3.39 | 2100 | down 32.5% | volatile |
| 47 | South Africa | 2.85 | 2100 | down 12.6% | volatile |
| 48 | United Arab Emirates | 2.55 | 2100 | down 36.4% | volatile |
| 49 | Argentina | 2.09 | 2100 | down 20.2% | volatile |
| 50 | Colombia | 2.08 | 2100 | down 8.8% | volatile |
| 51 | Spain | 1.68 | 2100 | down 7.7% | volatile |
| 51 | Gambia | 1.68 | 2100 | down 40.2% | volatile |
| 53 | Russia | 1.65 | 2100 | unchanged | volatile |
| 54 | Thailand | 1.64 | 2100 | down 10.4% | volatile |
| 55 | Gabon | 1.59 | 2100 | down 45.9% | volatile |
| 56 | Dominican Republic | 1.56 | 2100 | down 36.1% | volatile |
| 57 | Nicaragua | 1.52 | 2100 | down 41.3% | volatile |
| 58 | Israel | 1.4 | 2100 | down 4.1% | volatile |
| 59 | Lesotho | 1.39 | 2100 | down 40.3% | volatile |
| 60 | Iran | 1.37 | 2100 | down 14.9% | volatile |
| 60 | Italy | 1.37 | 2100 | down 6.8% | volatile |
| 62 | Türkiye | 1.35 | 2100 | down 44.4% | volatile |
| 63 | Saudi Arabia | 1.32 | 2100 | down 10.2% | volatile |
| 64 | Paraguay | 1.23 | 2100 | down 32.0% | volatile |
| 65 | Egypt | 1.18 | 2100 | down 14.5% | volatile |
| 66 | Peru | 1.15 | 2100 | down 10.2% | volatile |
| 67 | Costa Rica | 1.01 | 2100 | down 42.0% | volatile |
| 68 | Australia | 0.98 | 2100 | down 5.8% | volatile |
| 68 | Qatar | 0.98 | 2100 | down 39.9% | volatile |
| 70 | Ecuador | 0.96 | 2100 | down 31.4% | volatile |
| 71 | Bolivia | 0.95 | 2100 | down 25.8% | volatile |
| 72 | Haiti | 0.92 | 2100 | down 34.3% | volatile |
| 73 | Japan | 0.87 | 2100 | down 8.4% | falling |
| 74 | Malaysia | 0.7 | 2100 | down 10.3% | volatile |
| 75 | Canada | 0.67 | 2100 | down 5.6% | volatile |
| 76 | Ukraine | 0.65 | 2100 | down 4.4% | volatile |
| 77 | Nepal | 0.64 | 2100 | down 30.4% | volatile |
| 78 | Namibia | 0.63 | 2100 | down 40.0% | volatile |
| 79 | Chile | 0.59 | 2100 | down 13.2% | volatile |
| 80 | Zimbabwe | 0.53 | 2100 | down 8.6% | volatile |
| 81 | Kazakhstan | 0.51 | 2100 | down 8.9% | volatile |
| 82 | Algeria | 0.49 | 2100 | down 5.8% | volatile |
| 83 | Guinea-Bissau | 0.45 | 2100 | down 47.1% | volatile |
| 84 | Portugal | 0.44 | 2100 | down 6.4% | volatile |
| 85 | Switzerland | 0.42 | 2100 | down 6.7% | rising |
| 86 | Denmark | 0.41 | 2100 | down 4.7% | rising |
| 87 | El Salvador | 0.4 | 2100 | down 34.4% | volatile |
| 88 | Sweden | 0.38 | 2100 | down 2.6% | rising |
| 89 | Finland | 0.36 | 2100 | down 2.7% | rising |
| 90 | Austria | 0.35 | 2100 | down 7.9% | rising |
| 90 | Jordan | 0.35 | 2100 | down 40.7% | volatile |
| 92 | Poland | 0.34 | 2100 | down 8.1% | volatile |
| 93 | Uruguay | 0.33 | 2100 | down 28.3% | volatile |
| 94 | Mauritius | 0.32 | 2100 | down 33.3% | volatile |
| 95 | Vanuatu | 0.31 | 2100 | down 39.2% | volatile |
| 96 | Palestine | 0.3 | 2100 | down 23.1% | volatile |
| 97 | Azerbaijan | 0.26 | 2100 | down 3.7% | volatile |
| 98 | Comoros | 0.21 | 2100 | down 38.2% | volatile |
| 98 | Norway | 0.21 | 2100 | down 4.5% | rising |
| 98 | Sao Tome and Principe | 0.21 | 2100 | down 30.0% | volatile |
| 101 | Hong Kong (China) | 0.2 | 2100 | down 13.0% | volatile |
| 101 | Kuwait | 0.2 | 2100 | down 9.1% | volatile |
| 103 | Panama | 0.19 | 2100 | down 29.6% | volatile |
| 103 | Singapore | 0.19 | 2100 | down 17.4% | volatile |
| 105 | New Zealand | 0.16 | 2100 | down 5.9% | falling |
| 106 | Mongolia | 0.14 | 2100 | down 6.7% | volatile |
| 107 | Belize | 0.13 | 2100 | down 48.0% | volatile |
| 107 | Bhutan | 0.13 | 2100 | down 35.0% | volatile |
| 107 | Korea | 0.13 | 2100 | down 13.3% | falling |
| 107 | Serbia | 0.13 | 2100 | down 7.1% | volatile |
| 107 | Turkmenistan | 0.13 | 2100 | down 7.1% | falling |
| 112 | Bahrain | 0.1 | 2100 | down 9.1% | volatile |
| 112 | Cuba | 0.1 | 2100 | down 16.7% | volatile |
| 112 | Greece | 0.1 | 2100 | unchanged | volatile |
| 112 | Jamaica | 0.1 | 2100 | down 16.7% | volatile |
| 116 | Hungary | 0.09 | 2100 | unchanged | volatile |
| 116 | Slovenia | 0.09 | 2100 | unchanged | volatile |
| 118 | Belarus | 0.08 | 2100 | unchanged | falling |
| 118 | Suriname | 0.08 | 2100 | down 33.3% | volatile |
| 120 | Equatorial Guinea | 0.07 | 2100 | down 30.0% | volatile |
| 120 | Croatia | 0.07 | 2100 | unchanged | volatile |
| 120 | Eswatini | 0.07 | 2100 | down 36.4% | volatile |
| 120 | Timor-Leste | 0.07 | 2100 | down 66.7% | volatile |
| 124 | Kyrgyzstan | 0.06 | 2100 | down 14.3% | volatile |
| 124 | Lebanon | 0.06 | 2100 | down 14.3% | volatile |
| 126 | Georgia | 0.05 | 2100 | unchanged | volatile |
| 127 | Armenia | 0.04 | 2100 | unchanged | volatile |
| 127 | Bosnia and Herzegovina | 0.04 | 2100 | unchanged | volatile |
| 127 | Cabo Verde | 0.04 | 2100 | down 50.0% | volatile |
| 127 | Moldova | 0.04 | 2100 | unchanged | volatile |
| 127 | North Macedonia | 0.04 | 2100 | down 20.0% | volatile |
| 132 | Bahamas | 0.03 | 2100 | down 40.0% | volatile |
| 132 | Czechia | 0.03 | 2100 | unchanged | falling |
| 132 | Lithuania | 0.03 | 2100 | unchanged | volatile |
| 132 | Macau (China) | 0.03 | 2100 | down 25.0% | volatile |
| 132 | Tunisia | 0.03 | 2100 | down 25.0% | volatile |
| 137 | Cyprus | 0.02 | 2100 | unchanged | volatile |
| 137 | Estonia | 0.02 | 2100 | unchanged | falling |
| 137 | Iceland | 0.02 | 2100 | unchanged | volatile |
| 137 | Puerto Rico | 0.02 | 2100 | unchanged | volatile |
| 137 | Trinidad and Tobago | 0.02 | 2100 | unchanged | volatile |
| 142 | Albania | 0.01 | 2100 | down 50.0% | volatile |
| 142 | Guyana | 0.01 | 2100 | unchanged | volatile |
| 142 | Saint Lucia | 0.01 | 2100 | unchanged | volatile |
| 142 | Latvia | 0.01 | 2100 | unchanged | volatile |
| 142 | Maldives | 0.01 | 2100 | down 50.0% | volatile |
| 142 | Slovak Republic | 0.01 | 2100 | down 50.0% | falling |
| 148 | Aruba | 0 | 2100 | down 100.0% | volatile |
| 148 | Belgium | 0 | 2100 | — | flat |
| 148 | Bulgaria | 0 | 2100 | — | volatile |
| 148 | China (People’s Republic of) | 0 | 2100 | — | flat |
| 148 | Germany | 0 | 2100 | — | flat |
| 148 | France | 0 | 2100 | — | flat |
| 148 | United Kingdom | 0 | 2100 | — | flat |
| 148 | Ireland | 0 | 2100 | — | flat |
| 148 | Luxembourg | 0 | 2100 | — | flat |
| 148 | Malta | 0 | 2100 | — | volatile |
| 148 | Montenegro | 0 | 2100 | — | volatile |
| 148 | New Caledonia | 0 | 2100 | — | volatile |
| 148 | Netherlands | 0 | 2100 | — | flat |
| 148 | French Polynesia | 0 | 2100 | down 100.0% | volatile |
| 148 | Romania | 0 | 2100 | — | volatile |
| 148 | Tajikistan | 0 | 2100 | — | volatile |
| 148 | Tonga | 0 | 2100 | — | volatile |
| 148 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 148 | Samoa | 0 | 2100 | down 100.0% | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 2,821
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/