Wittgenstein Projection: Percentage of the population age 25+ by highest level of educational attainment. Primary. Male by country
Share of the population of the stated 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)...
What the numbers show
Wittgenstein Projection: Percentage of the population age 25+ by highest level of educational attainment. Primary. Male is currently reported for 160 countries. The highest value is 0.5% in Tanzania, United Republic of; the lowest is 0.0% in Zimbabwe.
The median across all reporting countries is 0.0%, and the mean is 0.1%.
Wittgenstein Projection: Percentage of the population age 25+ by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania, United Republic of | 0.5% | 2100 | down 11.5% | falling |
| 2 | Madagascar | 0.4% | 2100 | down 2.4% | rising |
| 3 | Sao Tome and Principe | 0.4% | 2100 | down 10.0% | rising |
| 4 | Burundi | 0.3% | 2100 | down 7.9% | rising |
| 5 | Niger | 0.3% | 2100 | down 3.3% | rising |
| 6 | Uganda | 0.3% | 2100 | down 15.2% | flat |
| 7 | Senegal | 0.3% | 2100 | down 10.0% | rising |
| 8 | Rwanda | 0.3% | 2100 | down 16.1% | flat |
| 9 | Central African Republic | 0.2% | 2100 | down 19.4% | falling |
| 10 | Ethiopia | 0.2% | 2100 | down 11.5% | rising |
| 10 | Cambodia | 0.2% | 2100 | down 11.5% | falling |
| 12 | Benin | 0.2% | 2100 | down 8.7% | rising |
| 12 | Belize | 0.2% | 2100 | down 12.5% | falling |
| 12 | Cape Verde | 0.2% | 2100 | down 12.5% | rising |
| 12 | Honduras | 0.2% | 2100 | down 16.0% | falling |
| 16 | Mauritius | 0.2% | 2100 | down 17.4% | falling |
| 16 | Somalia | 0.2% | 2100 | down 17.4% | rising |
| 18 | Burkina Faso | 0.2% | 2100 | down 10.5% | rising |
| 18 | Chad | 0.2% | 2100 | down 10.5% | rising |
| 18 | Vanuatu | 0.2% | 2100 | down 15.0% | falling |
| 21 | Liberia | 0.2% | 2100 | down 5.9% | rising |
| 21 | Mali | 0.2% | 2100 | down 5.9% | rising |
| 23 | Bangladesh | 0.1% | 2100 | down 11.8% | falling |
| 23 | Congo | 0.1% | 2100 | down 25.0% | falling |
| 23 | Comoros | 0.1% | 2100 | down 25.0% | falling |
| 23 | Lao People's Democratic Republic | 0.1% | 2100 | down 16.7% | falling |
| 23 | Sierra Leone | 0.1% | 2100 | down 11.8% | rising |
| 28 | Côte d'Ivoire | 0.1% | 2100 | down 17.6% | flat |
| 28 | Gabon | 0.1% | 2100 | down 17.6% | falling |
| 28 | Guinea | 0.1% | 2100 | down 12.5% | rising |
| 28 | Guatemala | 0.1% | 2100 | down 17.6% | falling |
| 28 | Maldives | 0.1% | 2100 | down 17.6% | falling |
| 28 | Myanmar | 0.1% | 2100 | down 22.2% | falling |
| 28 | Syria | 0.1% | 2100 | down 17.6% | falling |
| 28 | Uruguay | 0.1% | 2100 | down 17.6% | falling |
| 36 | Cameroon | 0.1% | 2100 | down 23.5% | falling |
| 36 | Lesotho | 0.1% | 2100 | down 18.8% | falling |
| 36 | Viet Nam | 0.1% | 2100 | down 13.3% | falling |
| 39 | Costa Rica | 0.1% | 2100 | down 20.0% | falling |
| 39 | Qatar | 0.1% | 2100 | down 14.3% | falling |
| 39 | Saint Vincent and the Grenadines | 0.1% | 2100 | down 25.0% | falling |
| 39 | Zambia | 0.1% | 2100 | down 20.0% | falling |
| 43 | Nicaragua | 0.1% | 2100 | down 21.4% | falling |
| 44 | Mozambique | 0.1% | 2100 | down 9.1% | rising |
| 44 | Paraguay | 0.1% | 2100 | down 23.1% | falling |
| 44 | Samoa | 0.1% | 2100 | down 16.7% | falling |
| 47 | Gambia | 0.1% | 2100 | down 18.2% | falling |
| 47 | Guinea-Bissau | 0.1% | 2100 | down 18.2% | falling |
| 47 | Sudan | 0.1% | 2100 | down 18.2% | rising |
| 50 | Malawi | 0.1% | 2100 | down 20.0% | falling |
| 51 | Morocco | 0.1% | 2100 | down 30.0% | falling |
| 51 | Suriname | 0.1% | 2100 | down 22.2% | falling |
| 51 | Venezuela, Bolivarian Republic of | 0.1% | 2100 | down 22.2% | falling |
| 54 | United Arab Emirates | 0.1% | 2100 | down 14.3% | falling |
| 54 | Ghana | 0.1% | 2100 | down 14.3% | falling |
| 54 | Iceland | 0.1% | 2100 | down 14.3% | falling |
| 54 | Saint Lucia | 0.1% | 2100 | down 33.3% | volatile |
| 54 | Pakistan | 0.1% | 2100 | down 25.0% | falling |
| 54 | Türkiye | 0.1% | 2100 | down 25.0% | volatile |
| 60 | Bahamas | 0.1% | 2100 | down 16.7% | falling |
| 60 | Congo, Democratic Republic of the | 0.1% | 2100 | down 28.6% | falling |
| 60 | India | 0.1% | 2100 | down 28.6% | falling |
| 63 | Aruba | 0.0% | 2100 | down 20.0% | falling |
| 63 | Argentina | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Brazil | 0.0% | 2100 | down 20.0% | falling |
| 63 | Ecuador | 0.0% | 2100 | down 33.3% | falling |
| 63 | Equatorial Guinea | 0.0% | 2100 | down 33.3% | falling |
| 63 | Haiti | 0.0% | 2100 | down 33.3% | falling |
| 63 | Iraq | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Mexico | 0.0% | 2100 | down 20.0% | falling |
| 63 | Panama | 0.0% | 2100 | down 20.0% | volatile |
| 63 | Portugal | 0.0% | 2100 | down 33.3% | falling |
| 63 | El Salvador | 0.0% | 2100 | down 20.0% | falling |
| 63 | Thailand | 0.0% | 2100 | down 33.3% | falling |
| 63 | Trinidad and Tobago | 0.0% | 2100 | down 20.0% | volatile |
| 76 | Bolivia, Plurinational State of | 0.0% | 2100 | down 25.0% | falling |
| 76 | China | 0.0% | 2100 | down 25.0% | volatile |
| 76 | Colombia | 0.0% | 2100 | down 40.0% | volatile |
| 76 | Indonesia | 0.0% | 2100 | down 40.0% | volatile |
| 76 | Israel | 0.0% | 2100 | down 25.0% | volatile |
| 76 | Jamaica | 0.0% | 2100 | down 25.0% | volatile |
| 76 | Kuwait | 0.0% | 2100 | down 25.0% | falling |
| 76 | Nepal | 0.0% | 2100 | down 25.0% | falling |
| 84 | Bahrain | 0.0% | 2100 | down 33.3% | falling |
| 84 | Bhutan | 0.0% | 2100 | down 33.3% | rising |
| 84 | Chile | 0.0% | 2100 | down 33.3% | volatile |
| 84 | Dominican Republic | 0.0% | 2100 | down 33.3% | falling |
| 84 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | down 33.3% | volatile |
| 84 | Guyana | 0.0% | 2100 | down 33.3% | volatile |
| 84 | Iran | 0.0% | 2100 | down 33.3% | volatile |
| 84 | Lebanon | 0.0% | 2100 | down 33.3% | volatile |
| 84 | Namibia | 0.0% | 2100 | down 33.3% | falling |
| 84 | Tonga | 0.0% | 2100 | down 33.3% | volatile |
| 94 | Cuba | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Algeria | 0.0% | 2100 | unchanged | volatile |
| 94 | Spain | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Jordan | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Kenya | 0.0% | 2100 | unchanged | volatile |
| 94 | Luxembourg | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Macao | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Mongolia | 0.0% | 2100 | unchanged | volatile |
| 94 | Nigeria | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Peru | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Philippines | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Palestine, State of | 0.0% | 2100 | down 50.0% | volatile |
| 94 | French Polynesia | 0.0% | 2100 | unchanged | volatile |
| 94 | Eswatini | 0.0% | 2100 | down 50.0% | volatile |
| 94 | Timor-Leste | 0.0% | 2100 | unchanged | volatile |
| 94 | South Africa | 0.0% | 2100 | down 50.0% | volatile |
| 110 | Albania | 0.0% | 2100 | down 100.0% | volatile |
| 110 | Armenia | 0.0% | 2100 | — | volatile |
| 110 | Australia | 0.0% | 2100 | — | volatile |
| 110 | Austria | 0.0% | 2100 | — | volatile |
| 110 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 110 | Belgium | 0.0% | 2100 | — | volatile |
| 110 | Bulgaria | 0.0% | 2100 | — | volatile |
| 110 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 110 | Belarus | 0.0% | 2100 | — | volatile |
| 110 | Canada | 0.0% | 2100 | — | volatile |
| 110 | Switzerland | 0.0% | 2100 | — | volatile |
| 110 | Cyprus | 0.0% | 2100 | — | volatile |
| 110 | Germany | 0.0% | 2100 | — | volatile |
| 110 | Egypt | 0.0% | 2100 | down 100.0% | volatile |
| 110 | Estonia | 0.0% | 2100 | — | volatile |
| 110 | France | 0.0% | 2100 | — | volatile |
| 110 | Georgia | 0.0% | 2100 | — | volatile |
| 110 | Greece | 0.0% | 2100 | down 100.0% | volatile |
| 110 | Hong Kong | 0.0% | 2100 | — | volatile |
| 110 | Croatia | 0.0% | 2100 | — | volatile |
| 110 | Hungary | 0.0% | 2100 | — | volatile |
| 110 | Ireland | 0.0% | 2100 | — | volatile |
| 110 | Italy | 0.0% | 2100 | — | volatile |
| 110 | Japan | 0.0% | 2100 | — | volatile |
| 110 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 110 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 110 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 110 | Lithuania | 0.0% | 2100 | — | volatile |
| 110 | Latvia | 0.0% | 2100 | — | volatile |
| 110 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 110 | North Macedonia | 0.0% | 2100 | — | volatile |
| 110 | Malta | 0.0% | 2100 | — | volatile |
| 110 | Montenegro | 0.0% | 2100 | — | volatile |
| 110 | Malaysia | 0.0% | 2100 | — | volatile |
| 110 | New Caledonia | 0.0% | 2100 | — | volatile |
| 110 | Netherlands | 0.0% | 2100 | down 100.0% | volatile |
| 110 | New Zealand | 0.0% | 2100 | — | volatile |
| 110 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 110 | Romania | 0.0% | 2100 | — | volatile |
| 110 | Russian Federation | 0.0% | 2100 | — | volatile |
| 110 | Saudi Arabia | 0.0% | 2100 | down 100.0% | volatile |
| 110 | Singapore | 0.0% | 2100 | — | volatile |
| 110 | Serbia | 0.0% | 2100 | — | volatile |
| 110 | Slovenia | 0.0% | 2100 | — | volatile |
| 110 | Sweden | 0.0% | 2100 | — | volatile |
| 110 | Tajikistan | 0.0% | 2100 | — | volatile |
| 110 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 110 | Tunisia | 0.0% | 2100 | down 100.0% | volatile |
| 110 | Ukraine | 0.0% | 2100 | — | volatile |
| 110 | United States | 0.0% | 2100 | — | volatile |
| 110 | Zimbabwe | 0.0% | 2100 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 0.1%
About this data
Share of the population of the stated 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/