Wittgenstein Projection: Population age 25-29 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 25-29 in thousands by highest level of educational attainment. Primary. Female is currently reported for 164 countries. The highest value is 1,099 in Tanzania; the lowest is 0 in Zimbabwe.
The median across all reporting countries is 0.54, and the mean is 42.27.
Wittgenstein Projection: Population age 25-29 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania | 1,099 | 2100 | down 23.4% | falling |
| 2 | Niger | 901.76 | 2100 | down 13.2% | volatile |
| 3 | Uganda | 765.21 | 2100 | down 30.2% | rising |
| 4 | Ethiopia | 639.81 | 2100 | down 34.2% | flat |
| 5 | Madagascar | 477.14 | 2100 | down 19.7% | rising |
| 6 | India | 455.16 | 2100 | down 47.9% | volatile |
| 7 | Bangladesh | 239.7 | 2100 | down 34.4% | volatile |
| 8 | Pakistan | 184.37 | 2100 | down 41.7% | falling |
| 9 | Mali | 151.47 | 2100 | down 23.0% | rising |
| 10 | Burkina Faso | 148.82 | 2100 | down 26.9% | rising |
| 11 | Senegal | 135.89 | 2100 | down 32.2% | flat |
| 12 | Chad | 131.32 | 2100 | down 23.5% | rising |
| 13 | Rwanda | 128.58 | 2100 | down 34.2% | falling |
| 14 | Mozambique | 125.28 | 2100 | down 28.2% | rising |
| 15 | Burundi | 110.7 | 2100 | down 26.7% | rising |
| 16 | Benin | 91.88 | 2100 | down 28.3% | rising |
| 17 | Democratic Republic of Congo | 81.75 | 2100 | down 45.1% | falling |
| 18 | Malawi | 75.13 | 2100 | down 39.4% | falling |
| 19 | Vietnam | 72.55 | 2100 | down 34.1% | volatile |
| 20 | China | 63.52 | 2100 | down 48.9% | volatile |
| 21 | Zambia | 62.89 | 2100 | down 40.5% | falling |
| 22 | Myanmar | 59.4 | 2100 | down 36.4% | volatile |
| 23 | Ghana | 53.62 | 2100 | down 37.7% | falling |
| 24 | Liberia | 47.67 | 2100 | down 28.1% | rising |
| 25 | Cote d'Ivoire | 47.26 | 2100 | down 42.1% | falling |
| 26 | Guatemala | 42.51 | 2100 | down 39.8% | falling |
| 27 | Cameroon | 41.23 | 2100 | down 45.1% | volatile |
| 28 | Cambodia | 40.01 | 2100 | down 34.3% | falling |
| 29 | Guinea | 39.71 | 2100 | down 32.2% | flat |
| 30 | Somalia | 39.49 | 2100 | down 38.2% | falling |
| 31 | Sierra Leone | 37.34 | 2100 | down 31.8% | rising |
| 32 | Syria | 36.07 | 2100 | down 38.1% | falling |
| 33 | Sudan | 28.08 | 2100 | down 42.8% | falling |
| 34 | Mexico | 23.66 | 2100 | down 46.3% | volatile |
| 35 | Brazil | 22.83 | 2100 | down 50.1% | volatile |
| 36 | Nigeria | 21.04 | 2100 | down 69.8% | volatile |
| 37 | Honduras | 20.47 | 2100 | down 39.4% | falling |
| 39 | Laos | 13.54 | 2100 | down 34.2% | falling |
| 40 | Congo | 12.36 | 2100 | down 42.7% | falling |
| 41 | Morocco | 12.24 | 2100 | down 47.4% | volatile |
| 42 | Venezuela | 12.13 | 2100 | down 46.3% | volatile |
| 43 | Indonesia | 10.47 | 2100 | down 60.1% | volatile |
| 44 | Turkey | 8.78 | 2100 | down 58.1% | volatile |
| 45 | Iraq | 8.62 | 2100 | down 57.9% | volatile |
| 46 | United Kingdom | 8.21 | 2100 | down 44.2% | volatile |
| 48 | Argentina | 6.86 | 2100 | down 50.8% | volatile |
| 49 | Thailand | 6.24 | 2100 | down 52.0% | volatile |
| 50 | Paraguay | 5.58 | 2100 | down 44.4% | volatile |
| 51 | United Arab Emirates | 5.43 | 2100 | down 37.7% | falling |
| 52 | Israel | 5.06 | 2100 | down 37.9% | falling |
| 53 | Nicaragua | 5.03 | 2100 | down 39.0% | volatile |
| 54 | Gambia | 4.91 | 2100 | down 38.4% | falling |
| 55 | Colombia | 4.21 | 2100 | down 54.4% | volatile |
| 56 | Lesotho | 4.02 | 2100 | down 41.5% | volatile |
| 57 | Philippines | 3.68 | 2100 | down 61.0% | volatile |
| 58 | Nepal | 3.54 | 2100 | down 62.2% | volatile |
| 59 | Qatar | 3.16 | 2100 | down 32.0% | falling |
| 60 | Costa Rica | 2.98 | 2100 | down 46.9% | volatile |
| 61 | Guinea-Bissau | 2.95 | 2100 | down 41.7% | falling |
| 62 | Uruguay | 2.86 | 2100 | down 35.0% | volatile |
| 63 | United States | 2.8 | 2100 | down 63.5% | volatile |
| 64 | Portugal | 2.26 | 2100 | down 43.2% | volatile |
| 65 | Comoros | 2.14 | 2100 | down 43.4% | volatile |
| 66 | Gabon | 2.11 | 2100 | down 47.1% | volatile |
| 67 | Iran | 2.06 | 2100 | down 57.3% | volatile |
| 68 | Ecuador | 2.05 | 2100 | down 51.9% | volatile |
| 69 | Mauritius | 1.68 | 2100 | down 36.6% | volatile |
| 70 | Kuwait | 1.66 | 2100 | down 33.9% | falling |
| 71 | Haiti | 1.58 | 2100 | down 55.9% | volatile |
| 72 | Bolivia | 1.41 | 2100 | down 53.9% | volatile |
| 73 | Sao Tome and Principe | 1.39 | 2100 | down 26.8% | falling |
| 74 | Belize | 1.28 | 2100 | down 35.7% | falling |
| 75 | Dominican Republic | 1.19 | 2100 | down 45.9% | volatile |
| 76 | Kenya | 1.14 | 2100 | down 66.5% | volatile |
| 77 | Azerbaijan | 1.11 | 2100 | down 16.5% | volatile |
| 78 | Cape Verde | 1.09 | 2100 | down 33.9% | falling |
| 79 | El Salvador | 0.96 | 2100 | down 49.7% | volatile |
| 80 | Jordan | 0.88 | 2100 | down 52.2% | volatile |
| 81 | Equatorial Guinea | 0.85 | 2100 | down 48.2% | volatile |
| 82 | Spain | 0.8 | 2100 | down 50.0% | volatile |
| 83 | Vanuatu | 0.67 | 2100 | down 40.2% | falling |
| 84 | Jamaica | 0.55 | 2100 | down 36.0% | volatile |
| 85 | Algeria | 0.53 | 2100 | down 54.7% | volatile |
| 86 | Germany | 0.52 | 2100 | down 53.6% | volatile |
| 87 | Panama | 0.51 | 2100 | down 54.1% | volatile |
| 88 | Bahrain | 0.42 | 2100 | down 42.5% | volatile |
| 89 | Suriname | 0.36 | 2100 | down 40.0% | volatile |
| 90 | Namibia | 0.35 | 2100 | down 51.4% | volatile |
| 91 | Chile | 0.34 | 2100 | down 57.5% | volatile |
| 91 | Maldives | 0.34 | 2100 | down 38.2% | volatile |
| 93 | Peru | 0.28 | 2100 | down 70.8% | volatile |
| 94 | Bahamas | 0.24 | 2100 | down 33.3% | falling |
| 94 | Iceland | 0.24 | 2100 | down 33.3% | volatile |
| 96 | Bhutan | 0.22 | 2100 | down 38.9% | falling |
| 96 | Lebanon | 0.22 | 2100 | down 51.1% | volatile |
| 98 | Netherlands | 0.17 | 2100 | down 55.3% | volatile |
| 99 | Palestine | 0.16 | 2100 | down 59.0% | volatile |
| 100 | Italy | 0.13 | 2100 | down 59.4% | volatile |
| 100 | Trinidad and Tobago | 0.13 | 2100 | down 45.8% | volatile |
| 102 | Mongolia | 0.12 | 2100 | down 47.8% | volatile |
| 103 | Tunisia | 0.09 | 2100 | down 57.1% | volatile |
| 103 | Samoa | 0.09 | 2100 | down 35.7% | volatile |
| 105 | Cuba | 0.07 | 2100 | down 53.3% | volatile |
| 106 | Guyana | 0.06 | 2100 | down 45.5% | volatile |
| 107 | Saint Lucia | 0.05 | 2100 | down 44.4% | volatile |
| 107 | Luxembourg | 0.05 | 2100 | down 44.4% | volatile |
| 107 | Saint Vincent and the Grenadines | 0.05 | 2100 | down 44.4% | volatile |
| 110 | Aruba | 0.03 | 2100 | down 40.0% | volatile |
| 110 | Eswatini | 0.03 | 2100 | down 78.6% | volatile |
| 112 | East Timor | 0.02 | 2100 | down 81.8% | volatile |
| 113 | Albania | 0.01 | 2100 | down 66.7% | volatile |
| 113 | Switzerland | 0.01 | 2100 | down 80.0% | volatile |
| 113 | Finland | 0.01 | 2100 | down 66.7% | volatile |
| 113 | Macao | 0.01 | 2100 | down 66.7% | volatile |
| 113 | Tonga | 0.01 | 2100 | down 50.0% | volatile |
| 118 | Armenia | 0 | 2100 | β | volatile |
| 118 | Australia | 0 | 2100 | down 100.0% | volatile |
| 118 | Austria | 0 | 2100 | down 100.0% | volatile |
| 118 | Belgium | 0 | 2100 | β | volatile |
| 118 | Bulgaria | 0 | 2100 | β | volatile |
| 118 | Bosnia and Herzegovina | 0 | 2100 | β | volatile |
| 118 | Belarus | 0 | 2100 | β | volatile |
| 118 | Canada | 0 | 2100 | β | volatile |
| 118 | Cyprus | 0 | 2100 | β | volatile |
| 118 | Czechia | 0 | 2100 | β | volatile |
| 118 | Denmark | 0 | 2100 | β | volatile |
| 118 | Egypt | 0 | 2100 | down 100.0% | volatile |
| 118 | Estonia | 0 | 2100 | β | volatile |
| 118 | France | 0 | 2100 | β | volatile |
| 118 | Georgia | 0 | 2100 | β | volatile |
| 118 | Greece | 0 | 2100 | β | volatile |
| 118 | Hong Kong | 0 | 2100 | β | volatile |
| 118 | Croatia | 0 | 2100 | β | volatile |
| 118 | Hungary | 0 | 2100 | β | volatile |
| 118 | Ireland | 0 | 2100 | β | volatile |
| 118 | Japan | 0 | 2100 | β | volatile |
| 118 | Kazakhstan | 0 | 2100 | β | volatile |
| 118 | Kyrgyzstan | 0 | 2100 | β | volatile |
| 118 | South Korea | 0 | 2100 | β | volatile |
| 118 | Lithuania | 0 | 2100 | β | volatile |
| 118 | Latvia | 0 | 2100 | β | volatile |
| 118 | Moldova | 0 | 2100 | down 100.0% | volatile |
| 118 | North Macedonia | 0 | 2100 | down 100.0% | volatile |
| 118 | Malta | 0 | 2100 | β | volatile |
| 118 | Montenegro | 0 | 2100 | β | volatile |
| 118 | Malaysia | 0 | 2100 | down 100.0% | volatile |
| 118 | New Caledonia | 0 | 2100 | β | volatile |
| 118 | Norway | 0 | 2100 | down 100.0% | volatile |
| 118 | New Zealand | 0 | 2100 | down 100.0% | volatile |
| 118 | Poland | 0 | 2100 | β | volatile |
| 118 | Puerto Rico | 0 | 2100 | β | volatile |
| 118 | French Polynesia | 0 | 2100 | down 100.0% | volatile |
| 118 | Romania | 0 | 2100 | β | volatile |
| 118 | Russia | 0 | 2100 | β | volatile |
| 118 | Saudi Arabia | 0 | 2100 | down 100.0% | volatile |
| 118 | Singapore | 0 | 2100 | β | volatile |
| 118 | Serbia | 0 | 2100 | β | volatile |
| 118 | Slovakia | 0 | 2100 | β | volatile |
| 118 | Slovenia | 0 | 2100 | β | volatile |
| 118 | Sweden | 0 | 2100 | β | volatile |
| 118 | Tajikistan | 0 | 2100 | β | volatile |
| 118 | Turkmenistan | 0 | 2100 | β | volatile |
| 118 | Ukraine | 0 | 2100 | β | volatile |
| 118 | Zimbabwe | 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 7,272
- Central African Republic 19.55
- South Africa 7.39
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/