Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Primary. Female 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. Female is currently reported for 164 countries. The highest value is 857.37 in Tanzania; the lowest is 0 in Ukraine.
The median across all reporting countries is 0.51, and the mean is 37.72.
Wittgenstein Projection: Population age 20-24 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 857.37 | 2100 | down 25.2% | falling |
| 2 | Niger | 801.91 | 2100 | down 18.7% | volatile |
| 3 | Uganda | 664.96 | 2100 | down 32.1% | rising |
| 4 | Ethiopia | 542.91 | 2100 | down 37.0% | falling |
| 5 | Madagascar | 391.33 | 2100 | down 23.4% | rising |
| 6 | India | 313.54 | 2100 | down 51.2% | volatile |
| 7 | Burkina Faso | 267.96 | 2100 | down 21.1% | rising |
| 8 | Sudan | 245.19 | 2100 | down 16.2% | rising |
| 9 | Bangladesh | 189.16 | 2100 | down 36.5% | volatile |
| 10 | Iraq | 169.05 | 2100 | down 17.6% | falling |
| 11 | Pakistan | 134.83 | 2100 | down 44.5% | falling |
| 12 | Chad | 129.42 | 2100 | down 27.1% | rising |
| 13 | Mali | 128.36 | 2100 | down 27.4% | rising |
| 14 | Rwanda | 125.71 | 2100 | down 29.9% | falling |
| 15 | Mozambique | 98.55 | 2100 | down 30.3% | rising |
| 16 | Senegal | 98.4 | 2100 | down 34.6% | falling |
| 17 | Burundi | 91.5 | 2100 | down 30.5% | falling |
| 18 | Benin | 74.85 | 2100 | down 31.5% | falling |
| 19 | Democratic Republic of Congo | 65.03 | 2100 | down 46.6% | volatile |
| 20 | Malawi | 59.13 | 2100 | down 42.1% | falling |
| 21 | Vietnam | 57.34 | 2100 | down 36.5% | volatile |
| 22 | Somalia | 55.16 | 2100 | down 30.7% | falling |
| 23 | Myanmar | 46.38 | 2100 | down 37.4% | volatile |
| 24 | China | 43.57 | 2100 | down 49.8% | volatile |
| 25 | Zambia | 38.49 | 2100 | down 43.7% | falling |
| 26 | Liberia | 36.96 | 2100 | down 31.7% | rising |
| 27 | Cote d'Ivoire | 33.13 | 2100 | down 44.1% | falling |
| 28 | Guatemala | 32.18 | 2100 | down 43.0% | falling |
| 29 | Cambodia | 31.48 | 2100 | down 38.7% | volatile |
| 30 | Ghana | 30.17 | 2100 | down 41.1% | falling |
| 31 | Sierra Leone | 29.81 | 2100 | down 34.8% | falling |
| 32 | Syria | 27.93 | 2100 | down 39.2% | volatile |
| 33 | Cameroon | 27.88 | 2100 | down 48.6% | volatile |
| 34 | Guinea | 26.13 | 2100 | down 36.5% | falling |
| 35 | Philippines | 22.96 | 2100 | down 25.5% | volatile |
| 37 | Brazil | 17.12 | 2100 | down 51.6% | volatile |
| 38 | Honduras | 15.94 | 2100 | down 40.1% | volatile |
| 39 | Mexico | 15.38 | 2100 | down 49.4% | volatile |
| 40 | Laos | 10.89 | 2100 | down 34.1% | volatile |
| 41 | Congo | 8.96 | 2100 | down 46.0% | volatile |
| 42 | Venezuela | 8.91 | 2100 | down 46.1% | volatile |
| 43 | Nigeria | 8.55 | 2100 | down 78.4% | volatile |
| 44 | Morocco | 7.22 | 2100 | down 47.7% | volatile |
| 45 | Zimbabwe | 7.05 | 2100 | down 15.8% | volatile |
| 46 | Indonesia | 6.89 | 2100 | down 59.7% | volatile |
| 47 | United Kingdom | 6.01 | 2100 | down 45.8% | volatile |
| 48 | Turkey | 5.3 | 2100 | down 60.7% | volatile |
| 50 | Argentina | 4.82 | 2100 | down 52.6% | volatile |
| 51 | Thailand | 4.33 | 2100 | down 51.9% | volatile |
| 52 | United Arab Emirates | 4.17 | 2100 | down 39.7% | falling |
| 53 | Nicaragua | 3.86 | 2100 | down 42.0% | volatile |
| 54 | Azerbaijan | 3.84 | 2100 | down 22.1% | volatile |
| 55 | Israel | 3.83 | 2100 | down 39.7% | falling |
| 56 | Paraguay | 3.75 | 2100 | down 46.0% | volatile |
| 57 | Gambia | 3.71 | 2100 | down 42.1% | falling |
| 58 | Eswatini | 3.38 | 2100 | down 16.1% | volatile |
| 59 | Comoros | 3.07 | 2100 | down 31.8% | falling |
| 60 | Colombia | 2.64 | 2100 | down 56.1% | volatile |
| 61 | Lesotho | 2.62 | 2100 | down 44.4% | volatile |
| 62 | Uruguay | 2.22 | 2100 | down 36.8% | volatile |
| 63 | Qatar | 2.2 | 2100 | down 36.0% | falling |
| 64 | Costa Rica | 2.09 | 2100 | down 46.5% | volatile |
| 64 | Guinea-Bissau | 2.09 | 2100 | down 45.4% | falling |
| 66 | Nepal | 1.98 | 2100 | down 66.2% | volatile |
| 67 | Portugal | 1.66 | 2100 | down 44.9% | volatile |
| 68 | Gabon | 1.51 | 2100 | down 48.6% | volatile |
| 69 | Haiti | 1.31 | 2100 | down 56.8% | volatile |
| 70 | Kuwait | 1.3 | 2100 | down 37.2% | falling |
| 71 | Mauritius | 1.27 | 2100 | down 38.0% | volatile |
| 72 | Ecuador | 1.24 | 2100 | down 53.0% | volatile |
| 73 | United States | 1.2 | 2100 | down 73.0% | volatile |
| 74 | Iran | 1.15 | 2100 | down 59.5% | volatile |
| 75 | Belize | 0.99 | 2100 | down 36.5% | falling |
| 76 | Sao Tome and Principe | 0.94 | 2100 | down 30.4% | falling |
| 77 | East Timor | 0.91 | 2100 | down 14.2% | volatile |
| 78 | Cape Verde | 0.86 | 2100 | down 36.8% | volatile |
| 79 | Dominican Republic | 0.83 | 2100 | down 47.5% | volatile |
| 80 | Bolivia | 0.82 | 2100 | down 57.3% | volatile |
| 81 | Kenya | 0.7 | 2100 | down 69.4% | volatile |
| 82 | El Salvador | 0.68 | 2100 | down 51.1% | volatile |
| 83 | Equatorial Guinea | 0.57 | 2100 | down 50.4% | volatile |
| 84 | Spain | 0.53 | 2100 | down 53.9% | volatile |
| 85 | Germany | 0.49 | 2100 | down 57.8% | volatile |
| 86 | Vanuatu | 0.48 | 2100 | down 41.5% | falling |
| 87 | Jordan | 0.43 | 2100 | down 53.8% | volatile |
| 88 | Jamaica | 0.42 | 2100 | down 39.1% | volatile |
| 89 | Algeria | 0.36 | 2100 | down 58.1% | volatile |
| 90 | Panama | 0.35 | 2100 | down 55.1% | volatile |
| 91 | Iceland | 0.33 | 2100 | down 25.0% | falling |
| 91 | Namibia | 0.33 | 2100 | down 50.0% | volatile |
| 93 | Lithuania | 0.3 | 2100 | down 3.2% | volatile |
| 94 | Suriname | 0.28 | 2100 | down 39.1% | volatile |
| 95 | Bahrain | 0.26 | 2100 | down 45.8% | volatile |
| 96 | Maldives | 0.24 | 2100 | down 40.0% | volatile |
| 97 | Chile | 0.21 | 2100 | down 59.6% | volatile |
| 98 | Bahamas | 0.19 | 2100 | down 34.5% | falling |
| 99 | Bhutan | 0.16 | 2100 | down 42.9% | falling |
| 99 | Mongolia | 0.16 | 2100 | down 51.5% | volatile |
| 101 | Lebanon | 0.15 | 2100 | down 51.6% | volatile |
| 102 | Netherlands | 0.14 | 2100 | down 61.1% | volatile |
| 103 | Peru | 0.11 | 2100 | down 78.0% | volatile |
| 104 | Trinidad and Tobago | 0.1 | 2100 | down 44.4% | volatile |
| 105 | Palestine | 0.08 | 2100 | down 65.2% | volatile |
| 106 | Italy | 0.07 | 2100 | down 66.7% | volatile |
| 106 | Samoa | 0.07 | 2100 | down 36.4% | volatile |
| 108 | Tunisia | 0.05 | 2100 | down 50.0% | volatile |
| 109 | Cuba | 0.04 | 2100 | down 60.0% | volatile |
| 109 | Guyana | 0.04 | 2100 | down 50.0% | volatile |
| 109 | Luxembourg | 0.04 | 2100 | down 50.0% | volatile |
| 109 | Saint Vincent and the Grenadines | 0.04 | 2100 | down 42.9% | volatile |
| 113 | Albania | 0.03 | 2100 | down 50.0% | volatile |
| 113 | Saint Lucia | 0.03 | 2100 | down 50.0% | volatile |
| 115 | Aruba | 0.02 | 2100 | down 50.0% | volatile |
| 116 | Finland | 0.01 | 2100 | down 50.0% | volatile |
| 116 | Macao | 0.01 | 2100 | down 50.0% | volatile |
| 116 | Tonga | 0.01 | 2100 | unchanged | volatile |
| 119 | Armenia | 0 | 2100 | β | volatile |
| 119 | Australia | 0 | 2100 | down 100.0% | volatile |
| 119 | Austria | 0 | 2100 | down 100.0% | volatile |
| 119 | Belgium | 0 | 2100 | β | volatile |
| 119 | Bulgaria | 0 | 2100 | β | volatile |
| 119 | Bosnia and Herzegovina | 0 | 2100 | β | volatile |
| 119 | Belarus | 0 | 2100 | β | volatile |
| 119 | Canada | 0 | 2100 | β | volatile |
| 119 | Switzerland | 0 | 2100 | down 100.0% | volatile |
| 119 | Cyprus | 0 | 2100 | β | volatile |
| 119 | Czechia | 0 | 2100 | β | volatile |
| 119 | Denmark | 0 | 2100 | β | volatile |
| 119 | Egypt | 0 | 2100 | down 100.0% | volatile |
| 119 | Estonia | 0 | 2100 | β | volatile |
| 119 | France | 0 | 2100 | β | volatile |
| 119 | Georgia | 0 | 2100 | β | volatile |
| 119 | Greece | 0 | 2100 | β | volatile |
| 119 | Hong Kong | 0 | 2100 | β | volatile |
| 119 | Croatia | 0 | 2100 | β | volatile |
| 119 | Hungary | 0 | 2100 | β | volatile |
| 119 | Ireland | 0 | 2100 | β | volatile |
| 119 | Japan | 0 | 2100 | β | volatile |
| 119 | Kazakhstan | 0 | 2100 | β | volatile |
| 119 | Kyrgyzstan | 0 | 2100 | β | volatile |
| 119 | South Korea | 0 | 2100 | β | volatile |
| 119 | Latvia | 0 | 2100 | β | volatile |
| 119 | Moldova | 0 | 2100 | β | volatile |
| 119 | North Macedonia | 0 | 2100 | β | volatile |
| 119 | Malta | 0 | 2100 | β | volatile |
| 119 | Montenegro | 0 | 2100 | β | volatile |
| 119 | Malaysia | 0 | 2100 | β | volatile |
| 119 | New Caledonia | 0 | 2100 | β | volatile |
| 119 | Norway | 0 | 2100 | β | volatile |
| 119 | New Zealand | 0 | 2100 | down 100.0% | volatile |
| 119 | Poland | 0 | 2100 | β | volatile |
| 119 | Puerto Rico | 0 | 2100 | β | volatile |
| 119 | French Polynesia | 0 | 2100 | down 100.0% | volatile |
| 119 | Romania | 0 | 2100 | β | volatile |
| 119 | Russia | 0 | 2100 | β | volatile |
| 119 | Saudi Arabia | 0 | 2100 | down 100.0% | volatile |
| 119 | Singapore | 0 | 2100 | β | volatile |
| 119 | Serbia | 0 | 2100 | β | volatile |
| 119 | Slovakia | 0 | 2100 | β | volatile |
| 119 | Slovenia | 0 | 2100 | β | volatile |
| 119 | Sweden | 0 | 2100 | β | volatile |
| 119 | Tajikistan | 0 | 2100 | β | volatile |
| 119 | Turkmenistan | 0 | 2100 | β | volatile |
| 119 | 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 6,515
- Central African Republic 18.38
- South Africa 5.17
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/