Wittgenstein Projection: Percentage of the total population 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 total population by highest level of educational attainment. Incomplete Primary. Male is currently reported for 130 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 total population by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Madagascar | 0.1% | 2100 | down 33.3% | falling |
| 2 | Burundi | 0.0% | 2100 | down 40.0% | falling |
| 2 | Burkina Faso | 0.0% | 2100 | down 25.0% | falling |
| 2 | Belize | 0.0% | 2100 | down 40.0% | falling |
| 2 | Niger | 0.0% | 2100 | unchanged | falling |
| 2 | Chad | 0.0% | 2100 | down 25.0% | falling |
| 7 | Benin | 0.0% | 2100 | down 33.3% | falling |
| 7 | Cape Verde | 0.0% | 2100 | down 50.0% | volatile |
| 7 | Ethiopia | 0.0% | 2100 | down 33.3% | volatile |
| 7 | Guatemala | 0.0% | 2100 | down 33.3% | volatile |
| 7 | Liberia | 0.0% | 2100 | down 33.3% | falling |
| 7 | Mali | 0.0% | 2100 | down 33.3% | falling |
| 7 | Mozambique | 0.0% | 2100 | down 33.3% | falling |
| 7 | Qatar | 0.0% | 2100 | down 33.3% | volatile |
| 7 | Rwanda | 0.0% | 2100 | down 33.3% | volatile |
| 7 | Sudan | 0.0% | 2100 | down 33.3% | falling |
| 7 | Syria | 0.0% | 2100 | down 33.3% | volatile |
| 7 | Uganda | 0.0% | 2100 | unchanged | volatile |
| 19 | Bangladesh | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Bhutan | 0.0% | 2100 | unchanged | volatile |
| 19 | Central African Republic | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Côte d'Ivoire | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Guinea | 0.0% | 2100 | down 50.0% | falling |
| 19 | Honduras | 0.0% | 2100 | unchanged | volatile |
| 19 | Cambodia | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Lao People's Democratic Republic | 0.0% | 2100 | unchanged | volatile |
| 19 | Lesotho | 0.0% | 2100 | unchanged | volatile |
| 19 | Mauritius | 0.0% | 2100 | unchanged | volatile |
| 19 | Malawi | 0.0% | 2100 | unchanged | volatile |
| 19 | Nicaragua | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Senegal | 0.0% | 2100 | down 50.0% | falling |
| 19 | Sierra Leone | 0.0% | 2100 | down 50.0% | falling |
| 19 | El Salvador | 0.0% | 2100 | unchanged | volatile |
| 19 | Sao Tome and Principe | 0.0% | 2100 | down 50.0% | volatile |
| 19 | Tanzania, United Republic of | 0.0% | 2100 | unchanged | volatile |
| 19 | Vanuatu | 0.0% | 2100 | unchanged | volatile |
| 19 | Zambia | 0.0% | 2100 | unchanged | volatile |
| 38 | Aruba | 0.0% | 2100 | — | volatile |
| 38 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 38 | Argentina | 0.0% | 2100 | — | volatile |
| 38 | Australia | 0.0% | 2100 | — | volatile |
| 38 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 38 | Bulgaria | 0.0% | 2100 | — | volatile |
| 38 | Bahrain | 0.0% | 2100 | — | volatile |
| 38 | Bahamas | 0.0% | 2100 | — | volatile |
| 38 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 38 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 38 | Brazil | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Chile | 0.0% | 2100 | — | volatile |
| 38 | Cameroon | 0.0% | 2100 | — | volatile |
| 38 | Congo, Democratic Republic of the | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Congo | 0.0% | 2100 | — | volatile |
| 38 | Colombia | 0.0% | 2100 | — | volatile |
| 38 | Comoros | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Costa Rica | 0.0% | 2100 | — | volatile |
| 38 | Cuba | 0.0% | 2100 | — | volatile |
| 38 | Cyprus | 0.0% | 2100 | — | volatile |
| 38 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 38 | Algeria | 0.0% | 2100 | — | volatile |
| 38 | Ecuador | 0.0% | 2100 | — | volatile |
| 38 | Egypt | 0.0% | 2100 | — | volatile |
| 38 | Spain | 0.0% | 2100 | — | volatile |
| 38 | Gabon | 0.0% | 2100 | — | volatile |
| 38 | Ghana | 0.0% | 2100 | — | volatile |
| 38 | Gambia | 0.0% | 2100 | — | volatile |
| 38 | Guinea-Bissau | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Equatorial Guinea | 0.0% | 2100 | — | volatile |
| 38 | Greece | 0.0% | 2100 | — | volatile |
| 38 | Guyana | 0.0% | 2100 | — | volatile |
| 38 | Hong Kong | 0.0% | 2100 | — | volatile |
| 38 | Croatia | 0.0% | 2100 | — | volatile |
| 38 | Haiti | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Indonesia | 0.0% | 2100 | — | volatile |
| 38 | India | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Iran | 0.0% | 2100 | — | volatile |
| 38 | Iraq | 0.0% | 2100 | — | volatile |
| 38 | Israel | 0.0% | 2100 | — | volatile |
| 38 | Italy | 0.0% | 2100 | — | volatile |
| 38 | Jamaica | 0.0% | 2100 | — | volatile |
| 38 | Jordan | 0.0% | 2100 | — | volatile |
| 38 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 38 | Kenya | 0.0% | 2100 | — | volatile |
| 38 | Kuwait | 0.0% | 2100 | — | volatile |
| 38 | Lebanon | 0.0% | 2100 | — | volatile |
| 38 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 38 | Macao | 0.0% | 2100 | — | volatile |
| 38 | Morocco | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 38 | Maldives | 0.0% | 2100 | — | volatile |
| 38 | Mexico | 0.0% | 2100 | — | volatile |
| 38 | North Macedonia | 0.0% | 2100 | — | volatile |
| 38 | Malta | 0.0% | 2100 | — | volatile |
| 38 | Myanmar | 0.0% | 2100 | — | volatile |
| 38 | Mongolia | 0.0% | 2100 | — | volatile |
| 38 | Malaysia | 0.0% | 2100 | — | volatile |
| 38 | Namibia | 0.0% | 2100 | — | volatile |
| 38 | New Caledonia | 0.0% | 2100 | — | volatile |
| 38 | Nigeria | 0.0% | 2100 | — | volatile |
| 38 | Nepal | 0.0% | 2100 | — | volatile |
| 38 | Pakistan | 0.0% | 2100 | — | volatile |
| 38 | Panama | 0.0% | 2100 | — | volatile |
| 38 | Peru | 0.0% | 2100 | — | volatile |
| 38 | Philippines | 0.0% | 2100 | — | volatile |
| 38 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 38 | Portugal | 0.0% | 2100 | — | volatile |
| 38 | Paraguay | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 38 | French Polynesia | 0.0% | 2100 | — | volatile |
| 38 | Romania | 0.0% | 2100 | — | volatile |
| 38 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 38 | Singapore | 0.0% | 2100 | — | volatile |
| 38 | Somalia | 0.0% | 2100 | down 100.0% | falling |
| 38 | Serbia | 0.0% | 2100 | — | volatile |
| 38 | Suriname | 0.0% | 2100 | — | volatile |
| 38 | Slovenia | 0.0% | 2100 | — | volatile |
| 38 | Eswatini | 0.0% | 2100 | — | volatile |
| 38 | Thailand | 0.0% | 2100 | — | volatile |
| 38 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 38 | Tonga | 0.0% | 2100 | — | volatile |
| 38 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 38 | Tunisia | 0.0% | 2100 | — | volatile |
| 38 | Türkiye | 0.0% | 2100 | — | volatile |
| 38 | Uruguay | 0.0% | 2100 | — | volatile |
| 38 | United States | 0.0% | 2100 | — | volatile |
| 38 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 38 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 38 | Viet Nam | 0.0% | 2100 | down 100.0% | volatile |
| 38 | Samoa | 0.0% | 2100 | — | volatile |
| 38 | South Africa | 0.0% | 2100 | — | volatile |
| 38 | 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/