Wittgenstein Projection: Percentage of the population age 20-64 by highest level of educational attainment. Incomplete Primary. Male by country
Share of the population of the stated age group that has pre-primary education or incomplete primary 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...
What the numbers show
Wittgenstein Projection: Percentage of the population age 20-64 by highest level of educational attainment. Incomplete Primary. Male is currently reported for 126 countries. The highest value is 0.1% in Madagascar; the lowest is 0.0% in Zimbabwe.
The median across all reporting countries is 0.0%, and the mean is 0.0%.
Wittgenstein Projection: Percentage of the population age 20-64 by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Madagascar | 0.1% | 2100 | down 28.6% | volatile |
| 2 | Burundi | 0.0% | 2100 | down 25.0% | volatile |
| 2 | Niger | 0.0% | 2100 | down 25.0% | falling |
| 2 | Chad | 0.0% | 2100 | down 25.0% | volatile |
| 5 | Burkina Faso | 0.0% | 2100 | down 50.0% | falling |
| 5 | Liberia | 0.0% | 2100 | down 33.3% | falling |
| 5 | Mali | 0.0% | 2100 | down 33.3% | falling |
| 8 | Benin | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Bangladesh | 0.0% | 2100 | unchanged | volatile |
| 8 | Belize | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Central African Republic | 0.0% | 2100 | unchanged | volatile |
| 8 | Côte d'Ivoire | 0.0% | 2100 | unchanged | volatile |
| 8 | Cape Verde | 0.0% | 2100 | unchanged | volatile |
| 8 | Ethiopia | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Guinea | 0.0% | 2100 | down 50.0% | falling |
| 8 | Guatemala | 0.0% | 2100 | unchanged | volatile |
| 8 | Cambodia | 0.0% | 2100 | unchanged | volatile |
| 8 | Mozambique | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Malawi | 0.0% | 2100 | unchanged | volatile |
| 8 | Qatar | 0.0% | 2100 | unchanged | volatile |
| 8 | Rwanda | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Sudan | 0.0% | 2100 | unchanged | volatile |
| 8 | Senegal | 0.0% | 2100 | unchanged | volatile |
| 8 | Sierra Leone | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Sao Tome and Principe | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Syria | 0.0% | 2100 | unchanged | volatile |
| 8 | Tanzania, United Republic of | 0.0% | 2100 | unchanged | volatile |
| 8 | Uganda | 0.0% | 2100 | down 50.0% | volatile |
| 8 | Zambia | 0.0% | 2100 | unchanged | volatile |
| 30 | Aruba | 0.0% | 2100 | — | volatile |
| 30 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 30 | Argentina | 0.0% | 2100 | — | volatile |
| 30 | Australia | 0.0% | 2100 | — | volatile |
| 30 | Bahrain | 0.0% | 2100 | — | volatile |
| 30 | Bahamas | 0.0% | 2100 | — | volatile |
| 30 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 30 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 30 | Brazil | 0.0% | 2100 | — | volatile |
| 30 | Bhutan | 0.0% | 2100 | — | volatile |
| 30 | Chile | 0.0% | 2100 | — | volatile |
| 30 | Cameroon | 0.0% | 2100 | — | volatile |
| 30 | Democratic Republic of Congo | 0.0% | 2100 | — | volatile |
| 30 | Congo | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Colombia | 0.0% | 2100 | — | volatile |
| 30 | Comoros | 0.0% | 2100 | — | volatile |
| 30 | Costa Rica | 0.0% | 2100 | — | volatile |
| 30 | Cuba | 0.0% | 2100 | — | volatile |
| 30 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 30 | Algeria | 0.0% | 2100 | — | volatile |
| 30 | Ecuador | 0.0% | 2100 | — | volatile |
| 30 | Egypt | 0.0% | 2100 | — | volatile |
| 30 | Spain | 0.0% | 2100 | — | volatile |
| 30 | Gabon | 0.0% | 2100 | — | volatile |
| 30 | Ghana | 0.0% | 2100 | — | volatile |
| 30 | Gambia | 0.0% | 2100 | — | volatile |
| 30 | Guinea-Bissau | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Equatorial Guinea | 0.0% | 2100 | — | volatile |
| 30 | Greece | 0.0% | 2100 | — | volatile |
| 30 | Guyana | 0.0% | 2100 | — | volatile |
| 30 | Hong Kong, China | 0.0% | 2100 | — | volatile |
| 30 | Honduras | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Croatia | 0.0% | 2100 | — | volatile |
| 30 | Haiti | 0.0% | 2100 | — | volatile |
| 30 | Indonesia | 0.0% | 2100 | — | volatile |
| 30 | India | 0.0% | 2100 | — | volatile |
| 30 | Iran, Islamic Republic of | 0.0% | 2100 | — | volatile |
| 30 | Iraq | 0.0% | 2100 | — | volatile |
| 30 | Israel | 0.0% | 2100 | — | volatile |
| 30 | Italy | 0.0% | 2100 | — | volatile |
| 30 | Jamaica | 0.0% | 2100 | — | volatile |
| 30 | Jordan | 0.0% | 2100 | — | volatile |
| 30 | Kenya | 0.0% | 2100 | — | volatile |
| 30 | Kuwait | 0.0% | 2100 | — | volatile |
| 30 | Lao People's Democratic Republic | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Lebanon | 0.0% | 2100 | — | volatile |
| 30 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 30 | Lesotho | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Macau, China | 0.0% | 2100 | — | volatile |
| 30 | Morocco | 0.0% | 2100 | — | volatile |
| 30 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 30 | Maldives | 0.0% | 2100 | — | volatile |
| 30 | Mexico | 0.0% | 2100 | — | volatile |
| 30 | North Macedonia | 0.0% | 2100 | — | volatile |
| 30 | Malta | 0.0% | 2100 | — | volatile |
| 30 | Myanmar | 0.0% | 2100 | — | volatile |
| 30 | Mongolia | 0.0% | 2100 | — | volatile |
| 30 | Mauritius | 0.0% | 2100 | — | volatile |
| 30 | Malaysia | 0.0% | 2100 | — | volatile |
| 30 | Namibia | 0.0% | 2100 | — | volatile |
| 30 | New Caledonia | 0.0% | 2100 | — | volatile |
| 30 | Nigeria | 0.0% | 2100 | — | volatile |
| 30 | Nicaragua | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Nepal | 0.0% | 2100 | — | volatile |
| 30 | Pakistan | 0.0% | 2100 | — | volatile |
| 30 | Panama | 0.0% | 2100 | — | volatile |
| 30 | Peru | 0.0% | 2100 | — | volatile |
| 30 | Philippines | 0.0% | 2100 | — | volatile |
| 30 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 30 | Portugal | 0.0% | 2100 | — | volatile |
| 30 | Paraguay | 0.0% | 2100 | — | volatile |
| 30 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 30 | French Polynesia | 0.0% | 2100 | — | volatile |
| 30 | Romania | 0.0% | 2100 | — | volatile |
| 30 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 30 | Singapore | 0.0% | 2100 | — | volatile |
| 30 | El Salvador | 0.0% | 2100 | — | volatile |
| 30 | Somalia | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Serbia | 0.0% | 2100 | — | volatile |
| 30 | Suriname | 0.0% | 2100 | — | volatile |
| 30 | Slovenia | 0.0% | 2100 | — | volatile |
| 30 | Eswatini | 0.0% | 2100 | — | volatile |
| 30 | Thailand | 0.0% | 2100 | — | volatile |
| 30 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 30 | Tonga | 0.0% | 2100 | — | volatile |
| 30 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 30 | Tunisia | 0.0% | 2100 | — | volatile |
| 30 | Türkiye | 0.0% | 2100 | — | volatile |
| 30 | Uruguay | 0.0% | 2100 | — | volatile |
| 30 | United States of America | 0.0% | 2100 | — | volatile |
| 30 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 30 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 30 | Viet Nam | 0.0% | 2100 | — | volatile |
| 30 | Vanuatu | 0.0% | 2100 | down 100.0% | volatile |
| 30 | Samoa | 0.0% | 2100 | — | volatile |
| 30 | South Africa | 0.0% | 2100 | — | volatile |
| 30 | 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 0.0%
About this data
Share of the population of the stated age group that has pre-primary education or incomplete primary 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/