Wittgenstein Projection: Percentage of the population age 40-64 by highest level of educational attainment. Lower Secondary. Total by country
Share of the population of the stated age group that has completed lower secondary or incomplete upper 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. Lower Secondary. Total is currently reported for 166 countries. The highest value is 0.3% in Mozambique; 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 | Mozambique | 0.3% | 2100 | down 5.6% | rising |
| 2 | Liberia | 0.3% | 2100 | down 3.7% | rising |
| 3 | Bhutan | 0.2% | 2100 | down 22.6% | rising |
| 3 | Guinea | 0.2% | 2100 | down 14.3% | rising |
| 5 | Bahamas | 0.2% | 2100 | down 21.4% | falling |
| 6 | Cape Verde | 0.2% | 2100 | down 16.0% | rising |
| 7 | Ghana | 0.2% | 2100 | down 23.1% | falling |
| 8 | Benin | 0.2% | 2100 | down 9.5% | rising |
| 8 | Sierra Leone | 0.2% | 2100 | down 9.5% | rising |
| 10 | Burkina Faso | 0.2% | 2100 | down 5.3% | rising |
| 10 | Sao Tome and Principe | 0.2% | 2100 | down 14.3% | rising |
| 12 | Gambia | 0.2% | 2100 | down 19.0% | rising |
| 12 | Madagascar | 0.2% | 2100 | down 5.6% | rising |
| 12 | Niger | 0.2% | 2100 | unchanged | volatile |
| 15 | Jamaica | 0.2% | 2100 | down 23.8% | falling |
| 15 | Maldives | 0.2% | 2100 | down 27.3% | rising |
| 17 | Viet Nam | 0.1% | 2100 | down 21.1% | falling |
| 18 | Mali | 0.1% | 2100 | down 6.7% | rising |
| 18 | Malawi | 0.1% | 2100 | down 22.2% | falling |
| 20 | Burundi | 0.1% | 2100 | down 13.3% | rising |
| 20 | Cambodia | 0.1% | 2100 | down 18.8% | rising |
| 20 | Kuwait | 0.1% | 2100 | down 18.8% | falling |
| 20 | Lao People's Democratic Republic | 0.1% | 2100 | down 18.8% | flat |
| 24 | Suriname | 0.1% | 2100 | down 25.0% | falling |
| 25 | Bangladesh | 0.1% | 2100 | down 21.4% | rising |
| 25 | Côte d'Ivoire | 0.1% | 2100 | down 21.4% | rising |
| 25 | Senegal | 0.1% | 2100 | down 8.3% | rising |
| 25 | Uganda | 0.1% | 2100 | down 15.4% | rising |
| 25 | Uruguay | 0.1% | 2100 | down 21.4% | falling |
| 25 | Vanuatu | 0.1% | 2100 | down 21.4% | falling |
| 31 | Belize | 0.1% | 2100 | down 16.7% | falling |
| 31 | Democratic Republic of Congo | 0.1% | 2100 | down 28.6% | falling |
| 31 | Ethiopia | 0.1% | 2100 | down 16.7% | rising |
| 31 | Guinea-Bissau | 0.1% | 2100 | down 16.7% | rising |
| 31 | Chad | 0.1% | 2100 | down 9.1% | rising |
| 31 | Tonga | 0.1% | 2100 | down 28.6% | falling |
| 31 | Zambia | 0.1% | 2100 | down 23.1% | falling |
| 38 | China | 0.1% | 2100 | down 30.8% | falling |
| 38 | Equatorial Guinea | 0.1% | 2100 | down 30.8% | falling |
| 38 | Trinidad and Tobago | 0.1% | 2100 | down 30.8% | falling |
| 38 | Samoa | 0.1% | 2100 | down 30.8% | falling |
| 42 | Central African Republic | 0.1% | 2100 | down 27.3% | rising |
| 42 | Myanmar | 0.1% | 2100 | down 20.0% | falling |
| 44 | United Arab Emirates | 0.1% | 2100 | down 12.5% | falling |
| 44 | Congo | 0.1% | 2100 | down 22.2% | falling |
| 44 | Gabon | 0.1% | 2100 | down 22.2% | falling |
| 44 | Guatemala | 0.1% | 2100 | down 22.2% | falling |
| 48 | Comoros | 0.1% | 2100 | down 33.3% | falling |
| 48 | United Kingdom of Great Britain and Northern Ireland | 0.1% | 2100 | down 33.3% | volatile |
| 48 | Morocco | 0.1% | 2100 | down 33.3% | falling |
| 48 | Mexico | 0.1% | 2100 | down 33.3% | falling |
| 48 | Malta | 0.1% | 2100 | down 33.3% | volatile |
| 48 | Mauritius | 0.1% | 2100 | down 25.0% | falling |
| 48 | Pakistan | 0.1% | 2100 | down 25.0% | falling |
| 48 | Qatar | 0.1% | 2100 | down 14.3% | falling |
| 48 | South Africa | 0.1% | 2100 | down 25.0% | falling |
| 57 | Aruba | 0.1% | 2100 | down 28.6% | falling |
| 57 | Dominican Republic | 0.1% | 2100 | down 28.6% | falling |
| 57 | Lesotho | 0.1% | 2100 | down 28.6% | falling |
| 57 | Namibia | 0.1% | 2100 | down 37.5% | falling |
| 57 | Rwanda | 0.1% | 2100 | down 28.6% | rising |
| 57 | El Salvador | 0.1% | 2100 | down 28.6% | falling |
| 57 | Syria | 0.1% | 2100 | down 16.7% | falling |
| 57 | Tanzania, United Republic of | 0.1% | 2100 | down 16.7% | falling |
| 65 | Cameroon | 0.0% | 2100 | down 33.3% | falling |
| 65 | Guyana | 0.0% | 2100 | down 20.0% | volatile |
| 65 | Honduras | 0.0% | 2100 | down 20.0% | falling |
| 65 | India | 0.0% | 2100 | down 33.3% | falling |
| 65 | Nicaragua | 0.0% | 2100 | down 20.0% | falling |
| 65 | Portugal | 0.0% | 2100 | down 20.0% | volatile |
| 65 | Paraguay | 0.0% | 2100 | down 20.0% | falling |
| 65 | Somalia | 0.0% | 2100 | down 20.0% | falling |
| 73 | Bahrain | 0.0% | 2100 | down 40.0% | falling |
| 73 | Bolivia, Plurinational State of | 0.0% | 2100 | down 25.0% | falling |
| 73 | Brazil | 0.0% | 2100 | down 25.0% | falling |
| 73 | Haiti | 0.0% | 2100 | down 50.0% | falling |
| 73 | Israel | 0.0% | 2100 | down 40.0% | falling |
| 73 | Tunisia | 0.0% | 2100 | down 40.0% | volatile |
| 73 | Saint Vincent and the Grenadines | 0.0% | 2100 | down 25.0% | falling |
| 80 | Albania | 0.0% | 2100 | down 50.0% | volatile |
| 80 | Argentina | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Costa Rica | 0.0% | 2100 | down 33.3% | falling |
| 80 | Spain | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Finland | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Lebanon | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Saint Lucia | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Luxembourg | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Mongolia | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Norway | 0.0% | 2100 | down 33.3% | volatile |
| 80 | Panama | 0.0% | 2100 | down 33.3% | falling |
| 80 | Sudan | 0.0% | 2100 | unchanged | falling |
| 80 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | down 33.3% | falling |
| 93 | Chile | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Colombia | 0.0% | 2100 | unchanged | volatile |
| 93 | Cuba | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Germany | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Denmark | 0.0% | 2100 | unchanged | volatile |
| 93 | Algeria | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Ecuador | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Indonesia | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Iran, Islamic Republic of | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Iraq | 0.0% | 2100 | unchanged | volatile |
| 93 | Italy | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Jordan | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Kenya | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Macau, China | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Republic of Moldova | 0.0% | 2100 | unchanged | volatile |
| 93 | North Macedonia | 0.0% | 2100 | unchanged | volatile |
| 93 | Nigeria | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Netherlands | 0.0% | 2100 | unchanged | volatile |
| 93 | Nepal | 0.0% | 2100 | down 66.7% | falling |
| 93 | Palestine, State of | 0.0% | 2100 | down 50.0% | volatile |
| 93 | French Polynesia | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Eswatini | 0.0% | 2100 | unchanged | volatile |
| 93 | Thailand | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Timor-Leste | 0.0% | 2100 | down 50.0% | volatile |
| 93 | Türkiye | 0.0% | 2100 | down 50.0% | volatile |
| 118 | Armenia | 0.0% | 2100 | — | volatile |
| 118 | Australia | 0.0% | 2100 | — | volatile |
| 118 | Austria | 0.0% | 2100 | down 100.0% | volatile |
| 118 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 118 | Belgium | 0.0% | 2100 | — | volatile |
| 118 | Bulgaria | 0.0% | 2100 | — | volatile |
| 118 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 118 | Belarus | 0.0% | 2100 | — | volatile |
| 118 | Canada | 0.0% | 2100 | — | volatile |
| 118 | Switzerland | 0.0% | 2100 | down 100.0% | volatile |
| 118 | Cyprus | 0.0% | 2100 | — | volatile |
| 118 | Czechia | 0.0% | 2100 | — | volatile |
| 118 | Egypt | 0.0% | 2100 | — | volatile |
| 118 | Estonia | 0.0% | 2100 | — | volatile |
| 118 | France | 0.0% | 2100 | — | volatile |
| 118 | Georgia | 0.0% | 2100 | — | volatile |
| 118 | Greece | 0.0% | 2100 | — | volatile |
| 118 | Hong Kong, China | 0.0% | 2100 | — | volatile |
| 118 | Croatia | 0.0% | 2100 | — | volatile |
| 118 | Hungary | 0.0% | 2100 | — | volatile |
| 118 | Ireland | 0.0% | 2100 | — | volatile |
| 118 | Iceland | 0.0% | 2100 | — | volatile |
| 118 | Japan | 0.0% | 2100 | — | volatile |
| 118 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 118 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 118 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 118 | Lithuania | 0.0% | 2100 | — | volatile |
| 118 | Latvia | 0.0% | 2100 | — | volatile |
| 118 | Montenegro | 0.0% | 2100 | — | volatile |
| 118 | Malaysia | 0.0% | 2100 | — | volatile |
| 118 | New Caledonia | 0.0% | 2100 | down 100.0% | volatile |
| 118 | New Zealand | 0.0% | 2100 | — | volatile |
| 118 | Peru | 0.0% | 2100 | down 100.0% | volatile |
| 118 | Philippines | 0.0% | 2100 | — | volatile |
| 118 | Poland | 0.0% | 2100 | — | volatile |
| 118 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 118 | Romania | 0.0% | 2100 | — | volatile |
| 118 | Russian Federation | 0.0% | 2100 | — | volatile |
| 118 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 118 | Singapore | 0.0% | 2100 | — | volatile |
| 118 | Serbia | 0.0% | 2100 | — | volatile |
| 118 | Slovakia | 0.0% | 2100 | — | volatile |
| 118 | Slovenia | 0.0% | 2100 | down 100.0% | volatile |
| 118 | Sweden | 0.0% | 2100 | — | volatile |
| 118 | Tajikistan | 0.0% | 2100 | — | volatile |
| 118 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 118 | Ukraine | 0.0% | 2100 | — | volatile |
| 118 | United States of America | 0.0% | 2100 | down 100.0% | volatile |
| 118 | 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 lower secondary or incomplete upper 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/