Wittgenstein Projection: Population age 25-29 in thousands by highest level of educational attainment. Incomplete Primary. Female 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. Female is currently reported for 166 countries. The highest value is 265.16 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.22, and the mean is 8.06.
Wittgenstein Projection: Population age 25-29 in thousands by highest: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 265.16 | 2100 | down 16.7% | rising |
| 2 | Tanzania | 195.31 | 2100 | down 22.6% | flat |
| 3 | Mali | 128.85 | 2100 | down 24.6% | rising |
| 4 | Madagascar | 97.57 | 2100 | down 32.1% | falling |
| 5 | Uganda | 85.2 | 2100 | down 33.0% | falling |
| 6 | Burkina Faso | 84.14 | 2100 | down 28.0% | rising |
| 7 | Sudan | 56.45 | 2100 | down 42.5% | falling |
| 8 | Burundi | 51 | 2100 | down 29.8% | falling |
| 9 | Democratic Republic of the Congo | 49.02 | 2100 | down 44.5% | volatile |
| 10 | Liberia | 40.09 | 2100 | down 29.5% | rising |
| 11 | Guinea | 28.04 | 2100 | down 32.1% | flat |
| 12 | Zambia | 26.02 | 2100 | down 39.6% | falling |
| 13 | Côte d’Ivoire | 24.3 | 2100 | down 42.6% | volatile |
| 14 | Senegal | 23.1 | 2100 | down 31.1% | falling |
| 15 | Sierra Leone | 11.96 | 2100 | down 34.5% | falling |
| 16 | Chad | 11.37 | 2100 | down 50.0% | falling |
| 17 | Syria | 9.96 | 2100 | down 38.8% | volatile |
| 18 | Central African Republic | 9.55 | 2100 | down 35.6% | falling |
| 19 | Cambodia | 9.3 | 2100 | down 35.0% | volatile |
| 20 | Somalia | 9.15 | 2100 | down 39.2% | falling |
| 21 | India | 7.86 | 2100 | down 46.4% | volatile |
| 22 | Ghana | 7.33 | 2100 | down 39.8% | falling |
| 23 | Ethiopia | 7.31 | 2100 | down 65.6% | volatile |
| 24 | Bangladesh | 6.51 | 2100 | down 54.4% | volatile |
| 25 | Cameroon | 6.1 | 2100 | down 43.9% | volatile |
| 26 | Morocco | 4.37 | 2100 | down 48.6% | volatile |
| 27 | Mozambique | 4.33 | 2100 | down 59.6% | volatile |
| 28 | Nigeria | 4.13 | 2100 | down 63.5% | volatile |
| 29 | Philippines | 3.81 | 2100 | down 26.4% | volatile |
| 30 | Congo | 3.7 | 2100 | down 42.2% | volatile |
| 30 | Guatemala | 3.7 | 2100 | down 44.2% | volatile |
| 32 | United States | 3.33 | 2100 | down 14.6% | volatile |
| 33 | Rwanda | 3.26 | 2100 | down 50.0% | volatile |
| 34 | Indonesia | 3.17 | 2100 | down 21.9% | volatile |
| 35 | Mexico | 3.03 | 2100 | down 18.5% | volatile |
| 36 | Brazil | 2.6 | 2100 | down 9.1% | volatile |
| 37 | Myanmar | 2.42 | 2100 | down 33.0% | volatile |
| 38 | Honduras | 2.39 | 2100 | down 36.9% | volatile |
| 39 | Malawi | 2.36 | 2100 | down 59.7% | volatile |
| 40 | Lao People’s Democratic Republic | 2.35 | 2100 | down 40.7% | volatile |
| 41 | Benin | 2.16 | 2100 | down 58.9% | volatile |
| 42 | Iraq | 2.04 | 2100 | down 42.4% | volatile |
| 43 | Kenya | 1.88 | 2100 | down 27.7% | volatile |
| 44 | Pakistan | 1.72 | 2100 | down 65.9% | volatile |
| 45 | Venezuela | 1.69 | 2100 | down 37.4% | volatile |
| 46 | Viet Nam | 1.65 | 2100 | down 32.7% | volatile |
| 47 | South Africa | 1.4 | 2100 | down 12.5% | volatile |
| 48 | United Arab Emirates | 1.22 | 2100 | down 34.8% | volatile |
| 49 | Argentina | 1.03 | 2100 | down 19.5% | volatile |
| 50 | Colombia | 1.02 | 2100 | down 8.9% | volatile |
| 51 | Gambia | 0.83 | 2100 | down 40.7% | falling |
| 52 | Spain | 0.81 | 2100 | down 8.0% | volatile |
| 53 | Russia | 0.8 | 2100 | unchanged | volatile |
| 53 | Thailand | 0.8 | 2100 | down 10.1% | volatile |
| 55 | Gabon | 0.78 | 2100 | down 46.2% | volatile |
| 56 | Dominican Republic | 0.76 | 2100 | down 36.1% | volatile |
| 57 | Nicaragua | 0.75 | 2100 | down 40.9% | volatile |
| 58 | Israel | 0.69 | 2100 | down 4.2% | volatile |
| 58 | Lesotho | 0.69 | 2100 | down 40.0% | volatile |
| 60 | Iran | 0.67 | 2100 | down 15.2% | volatile |
| 61 | Italy | 0.66 | 2100 | down 7.0% | volatile |
| 61 | Türkiye | 0.66 | 2100 | down 44.1% | volatile |
| 63 | Saudi Arabia | 0.65 | 2100 | down 9.7% | volatile |
| 64 | Paraguay | 0.6 | 2100 | down 31.8% | volatile |
| 65 | Egypt | 0.58 | 2100 | down 13.4% | volatile |
| 66 | Peru | 0.56 | 2100 | down 9.7% | volatile |
| 67 | Costa Rica | 0.49 | 2100 | down 42.4% | volatile |
| 68 | Australia | 0.48 | 2100 | down 4.0% | falling |
| 69 | Ecuador | 0.47 | 2100 | down 30.9% | volatile |
| 70 | Bolivia | 0.46 | 2100 | down 27.0% | volatile |
| 70 | Qatar | 0.46 | 2100 | down 36.1% | volatile |
| 72 | Haiti | 0.45 | 2100 | down 34.8% | volatile |
| 73 | Japan | 0.42 | 2100 | down 8.7% | falling |
| 74 | Malaysia | 0.34 | 2100 | down 10.5% | volatile |
| 75 | Canada | 0.32 | 2100 | down 5.9% | falling |
| 75 | Ukraine | 0.32 | 2100 | down 3.0% | volatile |
| 77 | Namibia | 0.31 | 2100 | down 40.4% | volatile |
| 77 | Nepal | 0.31 | 2100 | down 31.1% | volatile |
| 79 | Chile | 0.29 | 2100 | down 14.7% | volatile |
| 80 | Zimbabwe | 0.27 | 2100 | down 6.9% | volatile |
| 81 | Kazakhstan | 0.25 | 2100 | down 7.4% | volatile |
| 82 | Algeria | 0.24 | 2100 | down 4.0% | volatile |
| 83 | Guinea-Bissau | 0.23 | 2100 | down 46.5% | volatile |
| 84 | Switzerland | 0.21 | 2100 | down 4.5% | rising |
| 84 | Portugal | 0.21 | 2100 | down 8.7% | volatile |
| 86 | Denmark | 0.2 | 2100 | down 4.8% | rising |
| 86 | El Salvador | 0.2 | 2100 | down 33.3% | volatile |
| 88 | Finland | 0.18 | 2100 | unchanged | rising |
| 88 | Sweden | 0.18 | 2100 | down 5.3% | rising |
| 90 | Austria | 0.17 | 2100 | down 10.5% | rising |
| 90 | Jordan | 0.17 | 2100 | down 41.4% | volatile |
| 90 | Poland | 0.17 | 2100 | down 5.6% | falling |
| 93 | Mauritius | 0.16 | 2100 | down 33.3% | volatile |
| 93 | Uruguay | 0.16 | 2100 | down 30.4% | volatile |
| 95 | Palestine | 0.15 | 2100 | down 21.1% | volatile |
| 95 | Vanuatu | 0.15 | 2100 | down 40.0% | volatile |
| 97 | Azerbaijan | 0.13 | 2100 | unchanged | volatile |
| 98 | Sao Tome and Principe | 0.11 | 2100 | down 26.7% | volatile |
| 99 | Comoros | 0.1 | 2100 | down 41.2% | volatile |
| 99 | Hong Kong (China) | 0.1 | 2100 | down 9.1% | volatile |
| 99 | Kuwait | 0.1 | 2100 | down 9.1% | volatile |
| 99 | Norway | 0.1 | 2100 | down 9.1% | rising |
| 103 | Panama | 0.09 | 2100 | down 30.8% | volatile |
| 103 | Singapore | 0.09 | 2100 | down 18.2% | volatile |
| 105 | New Zealand | 0.08 | 2100 | unchanged | falling |
| 106 | Mongolia | 0.07 | 2100 | unchanged | volatile |
| 107 | Belize | 0.06 | 2100 | down 50.0% | volatile |
| 107 | Bhutan | 0.06 | 2100 | down 33.3% | volatile |
| 107 | Korea | 0.06 | 2100 | down 14.3% | falling |
| 107 | Serbia | 0.06 | 2100 | down 14.3% | volatile |
| 107 | Turkmenistan | 0.06 | 2100 | down 14.3% | falling |
| 112 | Bahrain | 0.05 | 2100 | unchanged | 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 | unchanged | falling |
| 116 | Eswatini | 0.04 | 2100 | down 20.0% | volatile |
| 122 | Croatia | 0.03 | 2100 | unchanged | volatile |
| 122 | Kyrgyzstan | 0.03 | 2100 | unchanged | falling |
| 122 | Lebanon | 0.03 | 2100 | unchanged | volatile |
| 122 | Timor-Leste | 0.03 | 2100 | down 70.0% | 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 | Cabo Verde | 0.02 | 2100 | down 50.0% | volatile |
| 126 | Georgia | 0.02 | 2100 | unchanged | volatile |
| 126 | Lithuania | 0.02 | 2100 | unchanged | volatile |
| 126 | Macau (China) | 0.02 | 2100 | unchanged | volatile |
| 126 | Moldova | 0.02 | 2100 | unchanged | volatile |
| 126 | North Macedonia | 0.02 | 2100 | unchanged | 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 | falling |
| 135 | Iceland | 0.01 | 2100 | unchanged | volatile |
| 135 | Latvia | 0.01 | 2100 | unchanged | volatile |
| 135 | Maldives | 0.01 | 2100 | unchanged | volatile |
| 135 | Puerto Rico | 0.01 | 2100 | unchanged | volatile |
| 135 | Slovak Republic | 0.01 | 2100 | unchanged | falling |
| 135 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 135 | Tunisia | 0.01 | 2100 | down 50.0% | volatile |
| 146 | Aruba | 0 | 2100 | — | volatile |
| 146 | Belgium | 0 | 2100 | — | flat |
| 146 | Bulgaria | 0 | 2100 | — | volatile |
| 146 | China (People’s Republic of) | 0 | 2100 | — | flat |
| 146 | Germany | 0 | 2100 | — | flat |
| 146 | France | 0 | 2100 | — | flat |
| 146 | United Kingdom | 0 | 2100 | — | flat |
| 146 | Guyana | 0 | 2100 | down 100.0% | volatile |
| 146 | Ireland | 0 | 2100 | — | flat |
| 146 | Saint Lucia | 0 | 2100 | — | volatile |
| 146 | Luxembourg | 0 | 2100 | — | flat |
| 146 | Malta | 0 | 2100 | — | volatile |
| 146 | Montenegro | 0 | 2100 | — | volatile |
| 146 | New Caledonia | 0 | 2100 | — | volatile |
| 146 | Netherlands | 0 | 2100 | — | flat |
| 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 1,392
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/