Wittgenstein Projection: Percentage of the population age 60+ 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 60+ by highest level of educational attainment. Primary. Female is currently reported for 161 countries. The highest value is 0.6% in Tanzania, United Republic of; the lowest is 0.0% in Ukraine.
The median across all reporting countries is 0.0%, and the mean is 0.1%.
Over the past decade 7 countries rose and 97 fell. The largest increase was in Niger (up 15.4%), and the largest decrease in Australia (down 100.0%).
Wittgenstein Projection: Percentage of the population age 60+ by highe: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Tanzania, United Republic of | 0.6% | 2100 | down 8.8% | rising |
| 2 | Burundi | 0.4% | 2100 | down 2.2% | volatile |
| 2 | Sao Tome and Principe | 0.4% | 2100 | down 2.2% | volatile |
| 4 | Madagascar | 0.4% | 2100 | up 2.4% | rising |
| 5 | Uganda | 0.4% | 2100 | down 6.8% | rising |
| 6 | Central African Republic | 0.4% | 2100 | down 13.3% | volatile |
| 6 | Rwanda | 0.4% | 2100 | down 11.4% | rising |
| 8 | Senegal | 0.4% | 2100 | down 5.3% | rising |
| 9 | Cambodia | 0.3% | 2100 | down 8.3% | rising |
| 10 | Ethiopia | 0.3% | 2100 | unchanged | volatile |
| 11 | Honduras | 0.3% | 2100 | down 11.8% | rising |
| 11 | Niger | 0.3% | 2100 | up 15.4% | volatile |
| 11 | Somalia | 0.3% | 2100 | down 11.8% | volatile |
| 14 | Belize | 0.3% | 2100 | down 3.4% | falling |
| 15 | Congo | 0.3% | 2100 | down 20.6% | rising |
| 15 | Comoros | 0.3% | 2100 | down 18.2% | volatile |
| 15 | Cape Verde | 0.3% | 2100 | down 6.9% | rising |
| 15 | Mauritius | 0.3% | 2100 | down 15.6% | rising |
| 19 | Benin | 0.3% | 2100 | unchanged | volatile |
| 20 | Vanuatu | 0.2% | 2100 | down 13.8% | rising |
| 21 | Cameroon | 0.2% | 2100 | down 22.6% | rising |
| 21 | Gabon | 0.2% | 2100 | down 22.6% | rising |
| 23 | Côte d'Ivoire | 0.2% | 2100 | down 12.0% | volatile |
| 23 | Lao People's Democratic Republic | 0.2% | 2100 | down 15.4% | rising |
| 23 | Lesotho | 0.2% | 2100 | down 21.4% | rising |
| 23 | Myanmar | 0.2% | 2100 | down 15.4% | falling |
| 23 | Zambia | 0.2% | 2100 | down 18.5% | rising |
| 28 | Guatemala | 0.2% | 2100 | down 8.7% | rising |
| 29 | Burkina Faso | 0.2% | 2100 | up 5.3% | volatile |
| 29 | Bangladesh | 0.2% | 2100 | down 13.0% | rising |
| 29 | Syrian Arab Republic | 0.2% | 2100 | down 13.0% | rising |
| 29 | Chad | 0.2% | 2100 | up 5.3% | volatile |
| 33 | Maldives | 0.2% | 2100 | down 13.6% | rising |
| 33 | Sierra Leone | 0.2% | 2100 | unchanged | volatile |
| 35 | Costa Rica | 0.2% | 2100 | down 18.2% | falling |
| 35 | Guinea | 0.2% | 2100 | unchanged | volatile |
| 35 | Liberia | 0.2% | 2100 | up 5.9% | volatile |
| 35 | Mali | 0.2% | 2100 | up 5.9% | volatile |
| 35 | Uruguay | 0.2% | 2100 | down 14.3% | falling |
| 40 | Nicaragua | 0.2% | 2100 | down 15.8% | rising |
| 40 | Paraguay | 0.2% | 2100 | down 20.0% | falling |
| 40 | Saint Vincent and the Grenadines | 0.2% | 2100 | down 15.8% | falling |
| 40 | Viet Nam | 0.2% | 2100 | down 11.1% | falling |
| 44 | Gambia | 0.1% | 2100 | down 12.5% | volatile |
| 44 | Guinea-Bissau | 0.1% | 2100 | down 12.5% | rising |
| 44 | Sudan | 0.1% | 2100 | down 12.5% | volatile |
| 47 | Malawi | 0.1% | 2100 | down 18.8% | rising |
| 47 | Samoa | 0.1% | 2100 | down 18.8% | volatile |
| 49 | Morocco | 0.1% | 2100 | down 20.0% | rising |
| 49 | Mozambique | 0.1% | 2100 | up 9.1% | volatile |
| 49 | Türkiye | 0.1% | 2100 | down 29.4% | falling |
| 52 | Qatar | 0.1% | 2100 | unchanged | rising |
| 52 | Suriname | 0.1% | 2100 | down 15.4% | falling |
| 54 | Pakistan | 0.1% | 2100 | down 9.1% | rising |
| 54 | Venezuela, Bolivarian Republic of | 0.1% | 2100 | down 16.7% | falling |
| 56 | Congo, Democratic Republic of the | 0.1% | 2100 | down 25.0% | rising |
| 56 | Ghana | 0.1% | 2100 | down 10.0% | rising |
| 56 | India | 0.1% | 2100 | down 18.2% | rising |
| 56 | Iraq | 0.1% | 2100 | down 25.0% | falling |
| 56 | Saint Lucia | 0.1% | 2100 | down 25.0% | volatile |
| 61 | Equatorial Guinea | 0.1% | 2100 | down 27.3% | falling |
| 61 | Haiti | 0.1% | 2100 | down 27.3% | rising |
| 63 | Argentina | 0.1% | 2100 | down 22.2% | falling |
| 63 | Ecuador | 0.1% | 2100 | down 30.0% | falling |
| 63 | Iceland | 0.1% | 2100 | down 22.2% | volatile |
| 63 | Mexico | 0.1% | 2100 | down 12.5% | falling |
| 63 | Nepal | 0.1% | 2100 | down 22.2% | rising |
| 63 | El Salvador | 0.1% | 2100 | down 22.2% | falling |
| 63 | Thailand | 0.1% | 2100 | down 30.0% | rising |
| 70 | Aruba | 0.1% | 2100 | down 14.3% | falling |
| 70 | United Arab Emirates | 0.1% | 2100 | unchanged | falling |
| 70 | Bahamas | 0.1% | 2100 | unchanged | volatile |
| 70 | Brazil | 0.1% | 2100 | down 25.0% | falling |
| 70 | Colombia | 0.1% | 2100 | down 25.0% | falling |
| 70 | Indonesia | 0.1% | 2100 | down 33.3% | falling |
| 70 | Panama | 0.1% | 2100 | down 25.0% | falling |
| 70 | Portugal | 0.1% | 2100 | down 14.3% | falling |
| 70 | Trinidad and Tobago | 0.1% | 2100 | down 14.3% | volatile |
| 79 | Bolivia, Plurinational State of | 0.1% | 2100 | down 28.6% | falling |
| 79 | Namibia | 0.1% | 2100 | down 16.7% | falling |
| 81 | China | 0.0% | 2100 | down 33.3% | volatile |
| 81 | United Kingdom of Great Britain and Northern Ireland | 0.0% | 2100 | down 20.0% | volatile |
| 81 | Iran, Islamic Republic of | 0.0% | 2100 | down 33.3% | falling |
| 81 | Israel | 0.0% | 2100 | down 20.0% | falling |
| 81 | Jamaica | 0.0% | 2100 | unchanged | volatile |
| 81 | Kuwait | 0.0% | 2100 | unchanged | falling |
| 81 | Eswatini | 0.0% | 2100 | down 33.3% | falling |
| 88 | Bahrain | 0.0% | 2100 | unchanged | falling |
| 88 | Bhutan | 0.0% | 2100 | unchanged | volatile |
| 88 | Chile | 0.0% | 2100 | down 25.0% | volatile |
| 88 | Dominican Republic | 0.0% | 2100 | down 25.0% | falling |
| 88 | Guyana | 0.0% | 2100 | down 25.0% | volatile |
| 88 | Lebanon | 0.0% | 2100 | down 40.0% | volatile |
| 88 | Nigeria | 0.0% | 2100 | down 40.0% | falling |
| 88 | Peru | 0.0% | 2100 | down 25.0% | falling |
| 88 | Philippines | 0.0% | 2100 | down 25.0% | volatile |
| 88 | Timor-Leste | 0.0% | 2100 | down 25.0% | volatile |
| 88 | Tonga | 0.0% | 2100 | down 25.0% | volatile |
| 88 | South Africa | 0.0% | 2100 | down 25.0% | volatile |
| 100 | Jordan | 0.0% | 2100 | down 33.3% | volatile |
| 100 | Kenya | 0.0% | 2100 | down 33.3% | volatile |
| 100 | Luxembourg | 0.0% | 2100 | down 33.3% | volatile |
| 100 | Macau, China | 0.0% | 2100 | unchanged | volatile |
| 100 | Palestine, State of | 0.0% | 2100 | down 50.0% | volatile |
| 105 | Albania | 0.0% | 2100 | unchanged | volatile |
| 105 | Cuba | 0.0% | 2100 | down 50.0% | volatile |
| 105 | Algeria | 0.0% | 2100 | down 50.0% | volatile |
| 105 | Egypt | 0.0% | 2100 | unchanged | falling |
| 105 | Spain | 0.0% | 2100 | down 50.0% | volatile |
| 105 | France | 0.0% | 2100 | unchanged | volatile |
| 105 | Greece | 0.0% | 2100 | unchanged | volatile |
| 105 | North Macedonia | 0.0% | 2100 | unchanged | volatile |
| 105 | Mongolia | 0.0% | 2100 | down 50.0% | volatile |
| 105 | Netherlands | 0.0% | 2100 | unchanged | volatile |
| 105 | French Polynesia | 0.0% | 2100 | unchanged | volatile |
| 105 | Saudi Arabia | 0.0% | 2100 | unchanged | volatile |
| 105 | Tunisia | 0.0% | 2100 | unchanged | volatile |
| 105 | United States of America | 0.0% | 2100 | unchanged | volatile |
| 105 | Zimbabwe | 0.0% | 2100 | down 50.0% | volatile |
| 120 | Armenia | 0.0% | 2100 | — | volatile |
| 120 | Australia | 0.0% | 2100 | down 100.0% | volatile |
| 120 | Austria | 0.0% | 2100 | — | volatile |
| 120 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 120 | Belgium | 0.0% | 2100 | — | volatile |
| 120 | Bulgaria | 0.0% | 2100 | — | volatile |
| 120 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 120 | Belarus | 0.0% | 2100 | — | volatile |
| 120 | Canada | 0.0% | 2100 | — | volatile |
| 120 | Switzerland | 0.0% | 2100 | — | volatile |
| 120 | Cyprus | 0.0% | 2100 | — | volatile |
| 120 | Germany | 0.0% | 2100 | — | volatile |
| 120 | Denmark | 0.0% | 2100 | — | volatile |
| 120 | Estonia | 0.0% | 2100 | — | volatile |
| 120 | Georgia | 0.0% | 2100 | — | volatile |
| 120 | Hong Kong, China | 0.0% | 2100 | down 100.0% | volatile |
| 120 | Croatia | 0.0% | 2100 | — | volatile |
| 120 | Hungary | 0.0% | 2100 | — | volatile |
| 120 | Ireland | 0.0% | 2100 | — | volatile |
| 120 | Italy | 0.0% | 2100 | down 100.0% | volatile |
| 120 | Japan | 0.0% | 2100 | — | volatile |
| 120 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 120 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 120 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 120 | Lithuania | 0.0% | 2100 | — | volatile |
| 120 | Latvia | 0.0% | 2100 | — | volatile |
| 120 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 120 | Malta | 0.0% | 2100 | — | volatile |
| 120 | Montenegro | 0.0% | 2100 | — | volatile |
| 120 | Malaysia | 0.0% | 2100 | down 100.0% | volatile |
| 120 | New Caledonia | 0.0% | 2100 | — | volatile |
| 120 | New Zealand | 0.0% | 2100 | down 100.0% | volatile |
| 120 | Puerto Rico | 0.0% | 2100 | down 100.0% | volatile |
| 120 | Romania | 0.0% | 2100 | — | volatile |
| 120 | Russian Federation | 0.0% | 2100 | — | volatile |
| 120 | Singapore | 0.0% | 2100 | — | volatile |
| 120 | Serbia | 0.0% | 2100 | — | volatile |
| 120 | Slovenia | 0.0% | 2100 | — | volatile |
| 120 | Sweden | 0.0% | 2100 | — | volatile |
| 120 | Tajikistan | 0.0% | 2100 | down 100.0% | volatile |
| 120 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 120 | Ukraine | 0.0% | 2100 | — | volatile |
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/