Wittgenstein Projection: Percentage of the population age 20-39 by highest level of educational attainment. Incomplete Primary. Female 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 20-39 by highest level of educational attainment. Incomplete Primary. Female is currently reported for 110 countries. The highest value is 0.0% in Burundi; 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 20-39 by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Burundi | 0.0% | 2100 | down 20.0% | volatile |
| 1 | Liberia | 0.0% | 2100 | down 20.0% | falling |
| 1 | Madagascar | 0.0% | 2100 | down 20.0% | volatile |
| 1 | Mali | 0.0% | 2100 | down 20.0% | falling |
| 1 | Niger | 0.0% | 2100 | down 20.0% | falling |
| 6 | Burkina Faso | 0.0% | 2100 | down 40.0% | falling |
| 6 | Guinea | 0.0% | 2100 | down 25.0% | falling |
| 8 | Central African Republic | 0.0% | 2100 | down 33.3% | volatile |
| 8 | Sao Tome and Principe | 0.0% | 2100 | unchanged | volatile |
| 8 | Tanzania, United Republic of | 0.0% | 2100 | down 33.3% | falling |
| 11 | Côte d'Ivoire | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Congo | 0.0% | 2100 | unchanged | volatile |
| 11 | Gabon | 0.0% | 2100 | unchanged | volatile |
| 11 | Cambodia | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Lesotho | 0.0% | 2100 | unchanged | volatile |
| 11 | Qatar | 0.0% | 2100 | unchanged | volatile |
| 11 | Rwanda | 0.0% | 2100 | unchanged | volatile |
| 11 | Sudan | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Senegal | 0.0% | 2100 | down 50.0% | falling |
| 11 | Sierra Leone | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Somalia | 0.0% | 2100 | unchanged | volatile |
| 11 | Syrian Arab Republic | 0.0% | 2100 | unchanged | volatile |
| 11 | Chad | 0.0% | 2100 | down 50.0% | volatile |
| 11 | Uganda | 0.0% | 2100 | unchanged | volatile |
| 11 | Vanuatu | 0.0% | 2100 | unchanged | volatile |
| 11 | Zambia | 0.0% | 2100 | down 50.0% | volatile |
| 27 | Aruba | 0.0% | 2100 | — | volatile |
| 27 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 27 | Argentina | 0.0% | 2100 | — | volatile |
| 27 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 27 | Benin | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Bangladesh | 0.0% | 2100 | — | volatile |
| 27 | Bahrain | 0.0% | 2100 | — | volatile |
| 27 | Bahamas | 0.0% | 2100 | — | volatile |
| 27 | Belize | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Bolivia, Plurinational State of | 0.0% | 2100 | — | volatile |
| 27 | Brazil | 0.0% | 2100 | — | volatile |
| 27 | Bhutan | 0.0% | 2100 | — | volatile |
| 27 | Chile | 0.0% | 2100 | — | volatile |
| 27 | Cameroon | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Congo, Democratic Republic of the | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Colombia | 0.0% | 2100 | — | volatile |
| 27 | Comoros | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Cape Verde | 0.0% | 2100 | — | volatile |
| 27 | Costa Rica | 0.0% | 2100 | — | volatile |
| 27 | Cuba | 0.0% | 2100 | — | volatile |
| 27 | Dominican Republic | 0.0% | 2100 | — | volatile |
| 27 | Algeria | 0.0% | 2100 | — | volatile |
| 27 | Ecuador | 0.0% | 2100 | — | volatile |
| 27 | Egypt | 0.0% | 2100 | — | volatile |
| 27 | Spain | 0.0% | 2100 | — | volatile |
| 27 | Ethiopia | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Ghana | 0.0% | 2100 | — | volatile |
| 27 | Gambia | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Guinea-Bissau | 0.0% | 2100 | — | volatile |
| 27 | Equatorial Guinea | 0.0% | 2100 | — | volatile |
| 27 | Guatemala | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Guyana | 0.0% | 2100 | — | volatile |
| 27 | Hong Kong, China | 0.0% | 2100 | — | volatile |
| 27 | Honduras | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Haiti | 0.0% | 2100 | — | volatile |
| 27 | Indonesia | 0.0% | 2100 | — | volatile |
| 27 | India | 0.0% | 2100 | — | volatile |
| 27 | Iran, Islamic Republic of | 0.0% | 2100 | — | volatile |
| 27 | Iraq | 0.0% | 2100 | — | volatile |
| 27 | Israel | 0.0% | 2100 | — | volatile |
| 27 | Jamaica | 0.0% | 2100 | — | volatile |
| 27 | Jordan | 0.0% | 2100 | — | volatile |
| 27 | Kenya | 0.0% | 2100 | — | volatile |
| 27 | Kuwait | 0.0% | 2100 | — | volatile |
| 27 | Lao People's Democratic Republic | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Lebanon | 0.0% | 2100 | — | volatile |
| 27 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 27 | Macau, China | 0.0% | 2100 | — | volatile |
| 27 | Morocco | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Maldives | 0.0% | 2100 | — | volatile |
| 27 | Mexico | 0.0% | 2100 | — | volatile |
| 27 | North Macedonia | 0.0% | 2100 | — | volatile |
| 27 | Myanmar | 0.0% | 2100 | — | volatile |
| 27 | Mongolia | 0.0% | 2100 | — | volatile |
| 27 | Mozambique | 0.0% | 2100 | down 100.0% | volatile |
| 27 | Mauritius | 0.0% | 2100 | — | volatile |
| 27 | Malawi | 0.0% | 2100 | — | volatile |
| 27 | Malaysia | 0.0% | 2100 | — | volatile |
| 27 | Namibia | 0.0% | 2100 | — | volatile |
| 27 | Nigeria | 0.0% | 2100 | — | volatile |
| 27 | Nicaragua | 0.0% | 2100 | — | volatile |
| 27 | Nepal | 0.0% | 2100 | — | volatile |
| 27 | Pakistan | 0.0% | 2100 | — | volatile |
| 27 | Panama | 0.0% | 2100 | — | volatile |
| 27 | Peru | 0.0% | 2100 | — | volatile |
| 27 | Philippines | 0.0% | 2100 | — | volatile |
| 27 | Portugal | 0.0% | 2100 | — | volatile |
| 27 | Paraguay | 0.0% | 2100 | — | volatile |
| 27 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 27 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 27 | Singapore | 0.0% | 2100 | — | volatile |
| 27 | El Salvador | 0.0% | 2100 | — | volatile |
| 27 | Suriname | 0.0% | 2100 | — | volatile |
| 27 | Eswatini | 0.0% | 2100 | — | volatile |
| 27 | Thailand | 0.0% | 2100 | — | volatile |
| 27 | Timor-Leste | 0.0% | 2100 | — | volatile |
| 27 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 27 | Türkiye | 0.0% | 2100 | — | volatile |
| 27 | Uruguay | 0.0% | 2100 | — | volatile |
| 27 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 27 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | — | volatile |
| 27 | Viet Nam | 0.0% | 2100 | — | volatile |
| 27 | South Africa | 0.0% | 2100 | — | volatile |
| 27 | 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/