Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Primary. Total by country
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary 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...
What the numbers show
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Primary. Total is currently reported for 166 countries. The highest value is 1,736 in Tanzania; the lowest is 0 in Ukraine.
The median across all reporting countries is 1.12, and the mean is 76.
Wittgenstein Projection: Population age 20-24 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 1,736 | 2100 | down 25.1% | falling |
| 2 | Niger | 1,634 | 2100 | down 18.5% | volatile |
| 3 | Uganda | 1,342 | 2100 | down 32.0% | rising |
| 4 | Ethiopia | 1,098 | 2100 | down 36.9% | falling |
| 5 | Madagascar | 793 | 2100 | down 23.4% | rising |
| 6 | India | 652.28 | 2100 | down 51.2% | volatile |
| 7 | Burkina Faso | 546.33 | 2100 | down 20.9% | rising |
| 8 | Sudan | 497.02 | 2100 | down 16.0% | falling |
| 9 | Bangladesh | 386.58 | 2100 | down 36.1% | volatile |
| 10 | Iraq | 349.93 | 2100 | down 17.6% | falling |
| 11 | Pakistan | 275.55 | 2100 | down 44.5% | falling |
| 12 | Mali | 261.13 | 2100 | down 27.1% | rising |
| 13 | Chad | 259.58 | 2100 | down 26.9% | rising |
| 14 | Rwanda | 251.06 | 2100 | down 29.8% | falling |
| 15 | Senegal | 199.26 | 2100 | down 34.5% | falling |
| 16 | Mozambique | 198.98 | 2100 | down 30.2% | rising |
| 17 | Burundi | 185.09 | 2100 | down 30.4% | falling |
| 18 | Benin | 151.83 | 2100 | down 31.4% | falling |
| 19 | Democratic Republic of Congo | 130.07 | 2100 | down 46.5% | volatile |
| 20 | Malawi | 119.83 | 2100 | down 42.1% | falling |
| 21 | Vietnam | 117.48 | 2100 | down 36.6% | volatile |
| 22 | Somalia | 110.74 | 2100 | down 30.6% | falling |
| 23 | Myanmar | 93.92 | 2100 | down 37.2% | volatile |
| 24 | China (People's Republic of) | 90.18 | 2100 | down 49.8% | volatile |
| 25 | Zambia | 77.51 | 2100 | down 43.6% | falling |
| 26 | Liberia | 75.91 | 2100 | down 31.5% | rising |
| 27 | Cote d'Ivoire | 66.64 | 2100 | down 44.1% | falling |
| 28 | Guatemala | 65.71 | 2100 | down 42.8% | falling |
| 29 | Cambodia | 64.47 | 2100 | down 38.6% | falling |
| 30 | Ghana | 62.01 | 2100 | down 41.1% | falling |
| 31 | Sierra Leone | 59.65 | 2100 | down 34.6% | falling |
| 32 | Syria | 57.18 | 2100 | down 39.0% | volatile |
| 33 | Cameroon | 56.13 | 2100 | down 48.4% | volatile |
| 34 | Guinea | 53.47 | 2100 | down 36.3% | falling |
| 35 | Philippines | 47.14 | 2100 | down 25.4% | volatile |
| 36 | Central African Republic | 36.79 | 2100 | down 38.2% | falling |
| 37 | Brazil | 35.03 | 2100 | down 51.5% | volatile |
| 38 | Honduras | 32.67 | 2100 | down 40.2% | volatile |
| 39 | Mexico | 31.5 | 2100 | down 49.3% | volatile |
| 40 | Laos | 22.31 | 2100 | down 34.1% | volatile |
| 41 | Venezuela | 18.24 | 2100 | down 46.1% | volatile |
| 42 | Congo | 18.1 | 2100 | down 45.8% | volatile |
| 43 | Nigeria | 17.46 | 2100 | down 78.4% | volatile |
| 44 | Morocco | 14.85 | 2100 | down 47.5% | volatile |
| 45 | Zimbabwe | 14.17 | 2100 | down 15.4% | volatile |
| 46 | Indonesia | 14.07 | 2100 | down 59.6% | volatile |
| 47 | United Kingdom | 12.32 | 2100 | down 45.8% | volatile |
| 48 | TΓΌrkiye | 10.87 | 2100 | down 60.7% | volatile |
| 49 | South Africa | 10.5 | 2100 | down 51.0% | volatile |
| 50 | Argentina | 9.84 | 2100 | down 52.5% | volatile |
| 51 | Thailand | 8.92 | 2100 | down 52.0% | volatile |
| 52 | United Arab Emirates | 8.65 | 2100 | down 40.8% | volatile |
| 53 | Azerbaijan | 7.93 | 2100 | down 22.3% | volatile |
| 54 | Nicaragua | 7.89 | 2100 | down 41.9% | volatile |
| 55 | Israel | 7.85 | 2100 | down 39.7% | volatile |
| 56 | Paraguay | 7.68 | 2100 | down 46.0% | volatile |
| 57 | Gambia | 7.49 | 2100 | down 42.0% | falling |
| 58 | Eswatini | 6.83 | 2100 | down 15.7% | volatile |
| 59 | Comoros | 6.26 | 2100 | down 31.7% | falling |
| 60 | Colombia | 5.39 | 2100 | down 56.1% | volatile |
| 61 | Lesotho | 5.3 | 2100 | down 44.4% | volatile |
| 62 | Qatar | 4.6 | 2100 | down 38.6% | falling |
| 63 | Uruguay | 4.56 | 2100 | down 36.6% | volatile |
| 64 | Costa Rica | 4.28 | 2100 | down 46.7% | volatile |
| 65 | Guinea-Bissau | 4.18 | 2100 | down 45.4% | falling |
| 66 | Nepal | 4.05 | 2100 | down 66.1% | volatile |
| 67 | Portugal | 3.43 | 2100 | down 44.7% | volatile |
| 68 | Gabon | 3.06 | 2100 | down 48.7% | volatile |
| 69 | Haiti | 2.67 | 2100 | down 56.7% | volatile |
| 70 | Kuwait | 2.64 | 2100 | down 37.7% | falling |
| 71 | Mauritius | 2.59 | 2100 | down 37.9% | volatile |
| 72 | Ecuador | 2.54 | 2100 | down 53.0% | volatile |
| 73 | United States | 2.45 | 2100 | down 73.0% | volatile |
| 74 | Iran | 2.36 | 2100 | down 59.5% | volatile |
| 75 | Belize | 2 | 2100 | down 36.7% | falling |
| 76 | Sao Tome and Principe | 1.91 | 2100 | down 29.8% | falling |
| 77 | East Timor | 1.87 | 2100 | down 13.4% | volatile |
| 78 | Cape Verde | 1.75 | 2100 | down 37.5% | volatile |
| 79 | Dominican Republic | 1.71 | 2100 | down 47.4% | volatile |
| 80 | Bolivia | 1.67 | 2100 | down 57.5% | volatile |
| 81 | Kenya | 1.41 | 2100 | down 69.5% | volatile |
| 82 | El Salvador | 1.4 | 2100 | down 50.7% | volatile |
| 83 | Equatorial Guinea | 1.15 | 2100 | down 50.4% | volatile |
| 84 | Spain | 1.1 | 2100 | down 53.6% | volatile |
| 85 | Germany | 1.02 | 2100 | down 57.1% | volatile |
| 86 | Vanuatu | 0.99 | 2100 | down 41.8% | falling |
| 87 | Jordan | 0.89 | 2100 | down 53.4% | volatile |
| 88 | Jamaica | 0.86 | 2100 | down 39.0% | volatile |
| 89 | Algeria | 0.73 | 2100 | down 58.8% | volatile |
| 90 | Panama | 0.71 | 2100 | down 55.6% | volatile |
| 91 | Iceland | 0.68 | 2100 | down 23.6% | volatile |
| 92 | Namibia | 0.66 | 2100 | down 51.1% | volatile |
| 93 | Lithuania | 0.62 | 2100 | down 4.6% | volatile |
| 94 | Suriname | 0.58 | 2100 | down 39.6% | volatile |
| 95 | Bahrain | 0.53 | 2100 | down 48.0% | volatile |
| 96 | Maldives | 0.5 | 2100 | down 39.0% | volatile |
| 97 | Chile | 0.42 | 2100 | down 60.4% | volatile |
| 98 | Bahamas | 0.4 | 2100 | down 33.3% | volatile |
| 99 | Bhutan | 0.33 | 2100 | down 43.1% | volatile |
| 99 | Mongolia | 0.33 | 2100 | down 50.7% | volatile |
| 101 | Lebanon | 0.3 | 2100 | down 53.1% | volatile |
| 102 | Netherlands | 0.29 | 2100 | down 61.3% | volatile |
| 103 | Peru | 0.23 | 2100 | down 77.5% | volatile |
| 104 | Trinidad and Tobago | 0.2 | 2100 | down 45.9% | volatile |
| 105 | Palestine | 0.17 | 2100 | down 64.6% | volatile |
| 106 | Italy | 0.15 | 2100 | down 65.1% | volatile |
| 107 | Samoa | 0.14 | 2100 | down 41.7% | volatile |
| 108 | Guyana | 0.09 | 2100 | down 43.8% | volatile |
| 108 | Tunisia | 0.09 | 2100 | down 57.1% | volatile |
| 110 | Cuba | 0.08 | 2100 | down 60.0% | volatile |
| 110 | Luxembourg | 0.08 | 2100 | down 50.0% | volatile |
| 110 | Saint Vincent and the Grenadines | 0.08 | 2100 | down 42.9% | volatile |
| 113 | Saint Lucia | 0.07 | 2100 | down 41.7% | volatile |
| 114 | Albania | 0.06 | 2100 | down 53.8% | volatile |
| 115 | Aruba | 0.04 | 2100 | down 42.9% | volatile |
| 116 | Finland | 0.02 | 2100 | down 50.0% | volatile |
| 116 | Macao | 0.02 | 2100 | down 50.0% | volatile |
| 116 | Tonga | 0.02 | 2100 | down 33.3% | volatile |
| 119 | Switzerland | 0.01 | 2100 | down 83.3% | volatile |
| 119 | French Polynesia | 0.01 | 2100 | unchanged | volatile |
| 121 | Armenia | 0 | 2100 | β | volatile |
| 121 | Australia | 0 | 2100 | down 100.0% | volatile |
| 121 | Austria | 0 | 2100 | down 100.0% | volatile |
| 121 | Belgium | 0 | 2100 | β | volatile |
| 121 | Bulgaria | 0 | 2100 | β | volatile |
| 121 | Bosnia and Herzegovina | 0 | 2100 | β | volatile |
| 121 | Belarus | 0 | 2100 | β | volatile |
| 121 | Canada | 0 | 2100 | β | volatile |
| 121 | Cyprus | 0 | 2100 | β | volatile |
| 121 | Czechia | 0 | 2100 | β | volatile |
| 121 | Denmark | 0 | 2100 | β | volatile |
| 121 | Egypt | 0 | 2100 | down 100.0% | volatile |
| 121 | Estonia | 0 | 2100 | β | volatile |
| 121 | France | 0 | 2100 | β | volatile |
| 121 | Georgia | 0 | 2100 | β | volatile |
| 121 | Greece | 0 | 2100 | β | volatile |
| 121 | Hong Kong | 0 | 2100 | β | volatile |
| 121 | Croatia | 0 | 2100 | β | volatile |
| 121 | Hungary | 0 | 2100 | β | volatile |
| 121 | Ireland | 0 | 2100 | β | volatile |
| 121 | Japan | 0 | 2100 | β | volatile |
| 121 | Kazakhstan | 0 | 2100 | β | volatile |
| 121 | Kyrgyzstan | 0 | 2100 | β | volatile |
| 121 | Korea | 0 | 2100 | β | volatile |
| 121 | Latvia | 0 | 2100 | β | volatile |
| 121 | Moldova | 0 | 2100 | down 100.0% | volatile |
| 121 | North Macedonia | 0 | 2100 | down 100.0% | volatile |
| 121 | Malta | 0 | 2100 | down 100.0% | volatile |
| 121 | Montenegro | 0 | 2100 | β | volatile |
| 121 | Malaysia | 0 | 2100 | β | volatile |
| 121 | New Caledonia | 0 | 2100 | β | volatile |
| 121 | Norway | 0 | 2100 | down 100.0% | volatile |
| 121 | New Zealand | 0 | 2100 | down 100.0% | volatile |
| 121 | Poland | 0 | 2100 | β | volatile |
| 121 | Puerto Rico | 0 | 2100 | β | volatile |
| 121 | Romania | 0 | 2100 | β | volatile |
| 121 | Russia | 0 | 2100 | β | volatile |
| 121 | Saudi Arabia | 0 | 2100 | down 100.0% | volatile |
| 121 | Singapore | 0 | 2100 | β | volatile |
| 121 | Serbia | 0 | 2100 | β | volatile |
| 121 | Slovak Republic | 0 | 2100 | β | volatile |
| 121 | Slovenia | 0 | 2100 | β | volatile |
| 121 | Sweden | 0 | 2100 | β | volatile |
| 121 | Tajikistan | 0 | 2100 | β | volatile |
| 121 | Turkmenistan | 0 | 2100 | β | volatile |
| 121 | Ukraine | 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 13,238
About this data
Total population in thousands in the specified age group that has completed primary education or incomplete lower secondary 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/