Wittgenstein Projection: Percentage of the population age 40-64 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 40-64 by highest level of educational attainment. Primary. Female is currently reported for 159 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 40-64 by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania, United Republic of | 0.5% | 2100 | down 14.5% | falling |
| 2 | Madagascar | 0.4% | 2100 | down 4.5% | rising |
| 3 | Burundi | 0.4% | 2100 | down 11.9% | rising |
| 3 | Sao Tome and Principe | 0.4% | 2100 | down 11.9% | rising |
| 5 | Niger | 0.3% | 2100 | down 3.1% | volatile |
| 5 | Uganda | 0.3% | 2100 | down 16.2% | rising |
| 7 | Senegal | 0.3% | 2100 | down 12.1% | rising |
| 8 | Rwanda | 0.3% | 2100 | down 20.6% | rising |
| 9 | Central African Republic | 0.3% | 2100 | down 21.2% | rising |
| 10 | Ethiopia | 0.2% | 2100 | down 14.3% | rising |
| 11 | Cambodia | 0.2% | 2100 | down 17.9% | rising |
| 12 | Benin | 0.2% | 2100 | down 12.0% | rising |
| 13 | Somalia | 0.2% | 2100 | down 19.2% | rising |
| 14 | Burkina Faso | 0.2% | 2100 | down 9.5% | volatile |
| 14 | Belize | 0.2% | 2100 | down 20.8% | falling |
| 14 | Cape Verde | 0.2% | 2100 | down 17.4% | rising |
| 14 | Chad | 0.2% | 2100 | down 5.0% | rising |
| 18 | Liberia | 0.2% | 2100 | down 5.3% | rising |
| 18 | Mali | 0.2% | 2100 | down 5.3% | rising |
| 20 | Honduras | 0.2% | 2100 | down 26.1% | falling |
| 21 | Guinea | 0.2% | 2100 | down 11.1% | rising |
| 21 | Sierra Leone | 0.2% | 2100 | down 11.1% | rising |
| 23 | Congo | 0.1% | 2100 | down 28.6% | falling |
| 23 | Comoros | 0.1% | 2100 | down 28.6% | falling |
| 23 | Lao People's Democratic Republic | 0.1% | 2100 | down 21.1% | falling |
| 23 | Mauritius | 0.1% | 2100 | down 25.0% | falling |
| 23 | Vanuatu | 0.1% | 2100 | down 25.0% | falling |
| 28 | Côte d'Ivoire | 0.1% | 2100 | down 26.3% | rising |
| 28 | Myanmar | 0.1% | 2100 | down 22.2% | falling |
| 30 | Bangladesh | 0.1% | 2100 | down 23.5% | flat |
| 30 | Cameroon | 0.1% | 2100 | down 27.8% | falling |
| 30 | Gabon | 0.1% | 2100 | down 27.8% | falling |
| 30 | Guatemala | 0.1% | 2100 | down 23.5% | flat |
| 30 | Lesotho | 0.1% | 2100 | down 23.5% | falling |
| 30 | Zambia | 0.1% | 2100 | down 27.8% | falling |
| 36 | Mozambique | 0.1% | 2100 | down 8.3% | rising |
| 36 | Syrian Arab Republic | 0.1% | 2100 | down 26.7% | falling |
| 36 | Uruguay | 0.1% | 2100 | down 21.4% | falling |
| 39 | Gambia | 0.1% | 2100 | down 16.7% | rising |
| 39 | Guinea-Bissau | 0.1% | 2100 | down 16.7% | rising |
| 39 | Maldives | 0.1% | 2100 | down 23.1% | falling |
| 39 | Qatar | 0.1% | 2100 | down 9.1% | flat |
| 39 | Viet Nam | 0.1% | 2100 | down 23.1% | falling |
| 44 | Malawi | 0.1% | 2100 | down 18.2% | falling |
| 44 | Nicaragua | 0.1% | 2100 | down 25.0% | falling |
| 44 | Sudan | 0.1% | 2100 | down 25.0% | rising |
| 44 | Saint Vincent and the Grenadines | 0.1% | 2100 | down 25.0% | volatile |
| 48 | Samoa | 0.1% | 2100 | down 20.0% | falling |
| 49 | Costa Rica | 0.1% | 2100 | down 36.4% | falling |
| 49 | Paraguay | 0.1% | 2100 | down 36.4% | falling |
| 51 | Ghana | 0.1% | 2100 | down 14.3% | falling |
| 51 | Pakistan | 0.1% | 2100 | down 25.0% | flat |
| 51 | Suriname | 0.1% | 2100 | down 25.0% | falling |
| 54 | United Arab Emirates | 0.1% | 2100 | down 16.7% | falling |
| 54 | Congo, Democratic Republic of the | 0.1% | 2100 | down 28.6% | falling |
| 54 | Morocco | 0.1% | 2100 | down 37.5% | falling |
| 54 | Venezuela, Bolivarian Republic of | 0.1% | 2100 | down 28.6% | falling |
| 58 | Bahamas | 0.0% | 2100 | down 20.0% | falling |
| 58 | Equatorial Guinea | 0.0% | 2100 | down 33.3% | volatile |
| 58 | India | 0.0% | 2100 | down 33.3% | falling |
| 58 | Saint Lucia | 0.0% | 2100 | down 33.3% | volatile |
| 62 | Aruba | 0.0% | 2100 | down 25.0% | volatile |
| 62 | Argentina | 0.0% | 2100 | down 25.0% | volatile |
| 62 | Haiti | 0.0% | 2100 | down 40.0% | falling |
| 62 | Iceland | 0.0% | 2100 | down 40.0% | volatile |
| 62 | El Salvador | 0.0% | 2100 | down 25.0% | falling |
| 62 | Trinidad and Tobago | 0.0% | 2100 | down 25.0% | volatile |
| 62 | Türkiye | 0.0% | 2100 | down 50.0% | volatile |
| 69 | Bahrain | 0.0% | 2100 | unchanged | volatile |
| 69 | Bolivia, Plurinational State of | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Brazil | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Bhutan | 0.0% | 2100 | down 33.3% | rising |
| 69 | China | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Colombia | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Ecuador | 0.0% | 2100 | down 50.0% | volatile |
| 69 | Guyana | 0.0% | 2100 | unchanged | volatile |
| 69 | Iraq | 0.0% | 2100 | down 50.0% | volatile |
| 69 | Israel | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Jamaica | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Kuwait | 0.0% | 2100 | down 33.3% | falling |
| 69 | Mexico | 0.0% | 2100 | down 50.0% | volatile |
| 69 | Namibia | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Nepal | 0.0% | 2100 | down 33.3% | falling |
| 69 | Panama | 0.0% | 2100 | down 33.3% | volatile |
| 69 | Portugal | 0.0% | 2100 | down 50.0% | falling |
| 69 | Thailand | 0.0% | 2100 | down 50.0% | volatile |
| 69 | Tonga | 0.0% | 2100 | unchanged | volatile |
| 88 | Chile | 0.0% | 2100 | unchanged | volatile |
| 88 | Dominican Republic | 0.0% | 2100 | down 50.0% | volatile |
| 88 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | down 50.0% | volatile |
| 88 | Indonesia | 0.0% | 2100 | down 66.7% | volatile |
| 88 | Iran, Islamic Republic of | 0.0% | 2100 | down 50.0% | volatile |
| 88 | Jordan | 0.0% | 2100 | unchanged | volatile |
| 88 | Lebanon | 0.0% | 2100 | down 50.0% | volatile |
| 88 | Luxembourg | 0.0% | 2100 | unchanged | volatile |
| 88 | Mongolia | 0.0% | 2100 | unchanged | volatile |
| 88 | Nigeria | 0.0% | 2100 | down 50.0% | volatile |
| 88 | Peru | 0.0% | 2100 | unchanged | volatile |
| 88 | Philippines | 0.0% | 2100 | unchanged | volatile |
| 88 | Eswatini | 0.0% | 2100 | down 50.0% | volatile |
| 88 | Timor-Leste | 0.0% | 2100 | unchanged | volatile |
| 88 | South Africa | 0.0% | 2100 | down 50.0% | volatile |
| 103 | Albania | 0.0% | 2100 | — | volatile |
| 103 | Armenia | 0.0% | 2100 | — | volatile |
| 103 | Australia | 0.0% | 2100 | — | volatile |
| 103 | Austria | 0.0% | 2100 | — | volatile |
| 103 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 103 | Belgium | 0.0% | 2100 | — | volatile |
| 103 | Bulgaria | 0.0% | 2100 | — | volatile |
| 103 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 103 | Belarus | 0.0% | 2100 | — | volatile |
| 103 | Canada | 0.0% | 2100 | — | volatile |
| 103 | Switzerland | 0.0% | 2100 | — | volatile |
| 103 | Cuba | 0.0% | 2100 | down 100.0% | volatile |
| 103 | Cyprus | 0.0% | 2100 | — | volatile |
| 103 | Germany | 0.0% | 2100 | — | volatile |
| 103 | Denmark | 0.0% | 2100 | — | volatile |
| 103 | Algeria | 0.0% | 2100 | down 100.0% | volatile |
| 103 | Egypt | 0.0% | 2100 | — | volatile |
| 103 | Spain | 0.0% | 2100 | down 100.0% | volatile |
| 103 | Estonia | 0.0% | 2100 | — | volatile |
| 103 | France | 0.0% | 2100 | — | volatile |
| 103 | Georgia | 0.0% | 2100 | — | volatile |
| 103 | Greece | 0.0% | 2100 | — | volatile |
| 103 | Hong Kong, China | 0.0% | 2100 | — | volatile |
| 103 | Croatia | 0.0% | 2100 | — | volatile |
| 103 | Hungary | 0.0% | 2100 | — | volatile |
| 103 | Ireland | 0.0% | 2100 | — | volatile |
| 103 | Italy | 0.0% | 2100 | — | volatile |
| 103 | Japan | 0.0% | 2100 | — | volatile |
| 103 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 103 | Kenya | 0.0% | 2100 | down 100.0% | volatile |
| 103 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 103 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 103 | Lithuania | 0.0% | 2100 | — | volatile |
| 103 | Latvia | 0.0% | 2100 | — | volatile |
| 103 | Macau, China | 0.0% | 2100 | down 100.0% | volatile |
| 103 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 103 | North Macedonia | 0.0% | 2100 | — | volatile |
| 103 | Malta | 0.0% | 2100 | — | volatile |
| 103 | Montenegro | 0.0% | 2100 | — | volatile |
| 103 | Malaysia | 0.0% | 2100 | — | volatile |
| 103 | New Caledonia | 0.0% | 2100 | — | volatile |
| 103 | Netherlands | 0.0% | 2100 | — | volatile |
| 103 | New Zealand | 0.0% | 2100 | — | volatile |
| 103 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 103 | Palestine, State of | 0.0% | 2100 | down 100.0% | volatile |
| 103 | French Polynesia | 0.0% | 2100 | — | volatile |
| 103 | Romania | 0.0% | 2100 | — | volatile |
| 103 | Russian Federation | 0.0% | 2100 | — | volatile |
| 103 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 103 | Singapore | 0.0% | 2100 | — | volatile |
| 103 | Serbia | 0.0% | 2100 | — | volatile |
| 103 | Sweden | 0.0% | 2100 | — | volatile |
| 103 | Tajikistan | 0.0% | 2100 | — | volatile |
| 103 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 103 | Tunisia | 0.0% | 2100 | — | volatile |
| 103 | United States of America | 0.0% | 2100 | — | volatile |
| 103 | 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/