Wittgenstein Projection: Percentage of the population age 20-64 by highest level of educational attainment. Primary. Female 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 20-64 by highest level of educational attainment. Primary. Female is currently reported for 158 countries. The highest value is 0.4% 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 20-64 by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania, United Republic of | 0.4% | 2100 | down 15.6% | falling |
| 2 | Madagascar | 0.4% | 2100 | down 9.8% | rising |
| 3 | Burundi | 0.3% | 2100 | down 13.9% | rising |
| 3 | Sao Tome and Principe | 0.3% | 2100 | down 13.9% | rising |
| 5 | Niger | 0.3% | 2100 | down 6.7% | rising |
| 6 | Uganda | 0.2% | 2100 | down 20.0% | falling |
| 7 | Senegal | 0.2% | 2100 | down 17.9% | rising |
| 8 | Rwanda | 0.2% | 2100 | down 22.2% | falling |
| 9 | Central African Republic | 0.2% | 2100 | down 23.1% | falling |
| 10 | Ethiopia | 0.2% | 2100 | down 20.8% | rising |
| 11 | Benin | 0.2% | 2100 | down 18.2% | rising |
| 11 | Cambodia | 0.2% | 2100 | down 21.7% | falling |
| 13 | Burkina Faso | 0.2% | 2100 | down 10.5% | rising |
| 14 | Cape Verde | 0.2% | 2100 | down 15.8% | falling |
| 14 | Somalia | 0.2% | 2100 | down 23.8% | flat |
| 14 | Chad | 0.2% | 2100 | down 11.1% | rising |
| 17 | Belize | 0.1% | 2100 | down 21.1% | falling |
| 17 | Liberia | 0.1% | 2100 | down 11.8% | rising |
| 17 | Mali | 0.1% | 2100 | down 11.8% | rising |
| 20 | Guinea | 0.1% | 2100 | down 13.3% | rising |
| 20 | Honduras | 0.1% | 2100 | down 27.8% | falling |
| 20 | Sierra Leone | 0.1% | 2100 | down 18.8% | rising |
| 23 | Comoros | 0.1% | 2100 | down 29.4% | falling |
| 23 | Lao People's Democratic Republic | 0.1% | 2100 | down 20.0% | falling |
| 23 | Vanuatu | 0.1% | 2100 | down 25.0% | falling |
| 26 | Bangladesh | 0.1% | 2100 | down 21.4% | falling |
| 26 | Côte d'Ivoire | 0.1% | 2100 | down 21.4% | falling |
| 26 | Congo | 0.1% | 2100 | down 26.7% | falling |
| 26 | Myanmar | 0.1% | 2100 | down 26.7% | falling |
| 26 | Mauritius | 0.1% | 2100 | down 26.7% | falling |
| 31 | Guatemala | 0.1% | 2100 | down 28.6% | falling |
| 31 | Mozambique | 0.1% | 2100 | down 9.1% | rising |
| 31 | Zambia | 0.1% | 2100 | down 23.1% | falling |
| 34 | Cameroon | 0.1% | 2100 | down 30.8% | falling |
| 34 | Gabon | 0.1% | 2100 | down 30.8% | falling |
| 34 | Lesotho | 0.1% | 2100 | down 30.8% | falling |
| 34 | Syrian Arab Republic | 0.1% | 2100 | down 25.0% | falling |
| 34 | Uruguay | 0.1% | 2100 | down 18.2% | falling |
| 39 | Gambia | 0.1% | 2100 | down 20.0% | falling |
| 39 | Maldives | 0.1% | 2100 | down 27.3% | falling |
| 39 | Qatar | 0.1% | 2100 | down 20.0% | falling |
| 39 | Viet Nam | 0.1% | 2100 | down 27.3% | falling |
| 43 | Guinea-Bissau | 0.1% | 2100 | down 30.0% | falling |
| 43 | Nicaragua | 0.1% | 2100 | down 22.2% | falling |
| 43 | Sudan | 0.1% | 2100 | down 22.2% | rising |
| 43 | Saint Vincent and the Grenadines | 0.1% | 2100 | down 22.2% | falling |
| 47 | Costa Rica | 0.1% | 2100 | down 25.0% | falling |
| 47 | Malawi | 0.1% | 2100 | down 25.0% | falling |
| 47 | Samoa | 0.1% | 2100 | down 25.0% | falling |
| 50 | Pakistan | 0.1% | 2100 | down 16.7% | falling |
| 50 | Paraguay | 0.1% | 2100 | down 37.5% | falling |
| 50 | Suriname | 0.1% | 2100 | down 16.7% | falling |
| 53 | United Arab Emirates | 0.0% | 2100 | down 20.0% | falling |
| 53 | Congo, Democratic Republic of the | 0.0% | 2100 | down 20.0% | falling |
| 53 | Ghana | 0.0% | 2100 | down 33.3% | falling |
| 53 | Morocco | 0.0% | 2100 | down 33.3% | falling |
| 57 | Bahamas | 0.0% | 2100 | down 25.0% | falling |
| 57 | Equatorial Guinea | 0.0% | 2100 | down 40.0% | volatile |
| 57 | India | 0.0% | 2100 | down 40.0% | falling |
| 57 | Iceland | 0.0% | 2100 | down 25.0% | volatile |
| 57 | Saint Lucia | 0.0% | 2100 | down 25.0% | volatile |
| 57 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | down 40.0% | volatile |
| 63 | Aruba | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Argentina | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Brazil | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Haiti | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Iraq | 0.0% | 2100 | down 50.0% | volatile |
| 63 | Jamaica | 0.0% | 2100 | down 33.3% | falling |
| 63 | Kuwait | 0.0% | 2100 | unchanged | falling |
| 63 | Mexico | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Portugal | 0.0% | 2100 | down 33.3% | volatile |
| 63 | El Salvador | 0.0% | 2100 | down 33.3% | falling |
| 63 | Thailand | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Trinidad and Tobago | 0.0% | 2100 | down 33.3% | volatile |
| 63 | Türkiye | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Bahrain | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Bolivia, Plurinational State of | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Bhutan | 0.0% | 2100 | down 50.0% | flat |
| 76 | China | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Colombia | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Dominican Republic | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Ecuador | 0.0% | 2100 | down 66.7% | volatile |
| 76 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Guyana | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Indonesia | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Iran, Islamic Republic of | 0.0% | 2100 | unchanged | volatile |
| 76 | Israel | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Lebanon | 0.0% | 2100 | unchanged | volatile |
| 76 | Mongolia | 0.0% | 2100 | unchanged | volatile |
| 76 | Namibia | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Nigeria | 0.0% | 2100 | unchanged | volatile |
| 76 | Nepal | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Panama | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Philippines | 0.0% | 2100 | unchanged | volatile |
| 76 | Eswatini | 0.0% | 2100 | down 50.0% | volatile |
| 76 | Tonga | 0.0% | 2100 | down 50.0% | volatile |
| 76 | South Africa | 0.0% | 2100 | unchanged | volatile |
| 98 | Albania | 0.0% | 2100 | — | volatile |
| 98 | Armenia | 0.0% | 2100 | — | volatile |
| 98 | Australia | 0.0% | 2100 | — | volatile |
| 98 | Austria | 0.0% | 2100 | — | volatile |
| 98 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 98 | Belgium | 0.0% | 2100 | — | volatile |
| 98 | Bulgaria | 0.0% | 2100 | — | volatile |
| 98 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 98 | Belarus | 0.0% | 2100 | — | volatile |
| 98 | Canada | 0.0% | 2100 | — | volatile |
| 98 | Switzerland | 0.0% | 2100 | — | volatile |
| 98 | Chile | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Cuba | 0.0% | 2100 | — | volatile |
| 98 | Cyprus | 0.0% | 2100 | — | volatile |
| 98 | Germany | 0.0% | 2100 | — | volatile |
| 98 | Algeria | 0.0% | 2100 | — | volatile |
| 98 | Egypt | 0.0% | 2100 | — | volatile |
| 98 | Spain | 0.0% | 2100 | — | volatile |
| 98 | Estonia | 0.0% | 2100 | — | volatile |
| 98 | France | 0.0% | 2100 | — | volatile |
| 98 | Georgia | 0.0% | 2100 | — | volatile |
| 98 | Greece | 0.0% | 2100 | — | volatile |
| 98 | Hong Kong, China | 0.0% | 2100 | — | volatile |
| 98 | Croatia | 0.0% | 2100 | — | volatile |
| 98 | Hungary | 0.0% | 2100 | — | volatile |
| 98 | Ireland | 0.0% | 2100 | — | volatile |
| 98 | Italy | 0.0% | 2100 | — | volatile |
| 98 | Jordan | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Japan | 0.0% | 2100 | — | volatile |
| 98 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 98 | Kenya | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 98 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 98 | Lithuania | 0.0% | 2100 | — | volatile |
| 98 | Luxembourg | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Latvia | 0.0% | 2100 | — | volatile |
| 98 | Macau, China | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 98 | North Macedonia | 0.0% | 2100 | — | volatile |
| 98 | Malta | 0.0% | 2100 | — | volatile |
| 98 | Montenegro | 0.0% | 2100 | — | volatile |
| 98 | Malaysia | 0.0% | 2100 | — | volatile |
| 98 | New Caledonia | 0.0% | 2100 | — | volatile |
| 98 | Netherlands | 0.0% | 2100 | — | volatile |
| 98 | New Zealand | 0.0% | 2100 | — | volatile |
| 98 | Peru | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 98 | Palestine, State of | 0.0% | 2100 | down 100.0% | volatile |
| 98 | French Polynesia | 0.0% | 2100 | — | volatile |
| 98 | Romania | 0.0% | 2100 | — | volatile |
| 98 | Russian Federation | 0.0% | 2100 | — | volatile |
| 98 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 98 | Singapore | 0.0% | 2100 | — | volatile |
| 98 | Serbia | 0.0% | 2100 | — | volatile |
| 98 | Sweden | 0.0% | 2100 | — | volatile |
| 98 | Tajikistan | 0.0% | 2100 | — | volatile |
| 98 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 98 | Timor-Leste | 0.0% | 2100 | down 100.0% | volatile |
| 98 | Tunisia | 0.0% | 2100 | — | volatile |
| 98 | United States of America | 0.0% | 2100 | — | volatile |
| 98 | 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/