Wittgenstein Projection: Percentage of the population age 60+ by highest level of educational attainment. Incomplete Primary. Total 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 60+ by highest level of educational attainment. Incomplete Primary. Total is currently reported for 147 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 60+ by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Madagascar | 0.1% | 2100 | down 26.3% | falling |
| 2 | Chad | 0.1% | 2100 | down 27.3% | flat |
| 3 | Belize | 0.1% | 2100 | down 36.4% | falling |
| 4 | Ethiopia | 0.1% | 2100 | down 33.3% | falling |
| 5 | Burundi | 0.1% | 2100 | down 37.5% | falling |
| 5 | Benin | 0.1% | 2100 | down 28.6% | falling |
| 5 | Cape Verde | 0.1% | 2100 | down 37.5% | volatile |
| 5 | Guatemala | 0.1% | 2100 | down 28.6% | falling |
| 5 | Mozambique | 0.1% | 2100 | down 28.6% | falling |
| 10 | Burkina Faso | 0.0% | 2100 | down 20.0% | rising |
| 10 | Niger | 0.0% | 2100 | down 33.3% | rising |
| 10 | Rwanda | 0.0% | 2100 | down 42.9% | falling |
| 10 | Syria | 0.0% | 2100 | down 33.3% | falling |
| 10 | Uganda | 0.0% | 2100 | down 42.9% | falling |
| 15 | Bangladesh | 0.0% | 2100 | down 40.0% | falling |
| 15 | Cambodia | 0.0% | 2100 | down 40.0% | volatile |
| 15 | Malawi | 0.0% | 2100 | down 50.0% | falling |
| 15 | Nicaragua | 0.0% | 2100 | down 40.0% | volatile |
| 15 | Qatar | 0.0% | 2100 | down 40.0% | volatile |
| 15 | Sierra Leone | 0.0% | 2100 | down 25.0% | falling |
| 15 | Sao Tome and Principe | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Bhutan | 0.0% | 2100 | down 33.3% | volatile |
| 22 | Cote d'Ivoire | 0.0% | 2100 | down 50.0% | volatile |
| 22 | Honduras | 0.0% | 2100 | down 33.3% | volatile |
| 22 | Laos | 0.0% | 2100 | down 33.3% | volatile |
| 22 | Liberia | 0.0% | 2100 | down 33.3% | falling |
| 22 | Mali | 0.0% | 2100 | down 33.3% | falling |
| 22 | Sudan | 0.0% | 2100 | down 33.3% | falling |
| 22 | El Salvador | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Brazil | 0.0% | 2100 | unchanged | volatile |
| 30 | Central African Republic | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Colombia | 0.0% | 2100 | unchanged | volatile |
| 30 | Dominican Republic | 0.0% | 2100 | unchanged | volatile |
| 30 | Guinea | 0.0% | 2100 | unchanged | falling |
| 30 | Gambia | 0.0% | 2100 | unchanged | volatile |
| 30 | Guinea-Bissau | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Haiti | 0.0% | 2100 | down 66.7% | volatile |
| 30 | India | 0.0% | 2100 | unchanged | volatile |
| 30 | Lesotho | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Morocco | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Maldives | 0.0% | 2100 | unchanged | volatile |
| 30 | Mauritius | 0.0% | 2100 | down 66.7% | volatile |
| 30 | Pakistan | 0.0% | 2100 | unchanged | falling |
| 30 | Paraguay | 0.0% | 2100 | down 50.0% | volatile |
| 30 | Senegal | 0.0% | 2100 | down 50.0% | falling |
| 30 | Vietnam | 0.0% | 2100 | unchanged | volatile |
| 30 | Vanuatu | 0.0% | 2100 | down 50.0% | volatile |
| 48 | Aruba | 0.0% | 2100 | — | volatile |
| 48 | Albania | 0.0% | 2100 | — | volatile |
| 48 | United Arab Emirates | 0.0% | 2100 | — | volatile |
| 48 | Argentina | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Armenia | 0.0% | 2100 | — | volatile |
| 48 | Australia | 0.0% | 2100 | — | volatile |
| 48 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 48 | Bulgaria | 0.0% | 2100 | — | volatile |
| 48 | Bahrain | 0.0% | 2100 | — | volatile |
| 48 | Bahamas | 0.0% | 2100 | — | volatile |
| 48 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 48 | Belarus | 0.0% | 2100 | — | volatile |
| 48 | Bolivia | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Canada | 0.0% | 2100 | — | volatile |
| 48 | Chile | 0.0% | 2100 | — | volatile |
| 48 | Cameroon | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Democratic Republic of Congo | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Congo | 0.0% | 2100 | — | volatile |
| 48 | Comoros | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Costa Rica | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Cuba | 0.0% | 2100 | — | volatile |
| 48 | Cyprus | 0.0% | 2100 | — | volatile |
| 48 | Algeria | 0.0% | 2100 | — | volatile |
| 48 | Ecuador | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Egypt | 0.0% | 2100 | — | volatile |
| 48 | Spain | 0.0% | 2100 | — | volatile |
| 48 | Estonia | 0.0% | 2100 | — | volatile |
| 48 | Gabon | 0.0% | 2100 | — | volatile |
| 48 | Georgia | 0.0% | 2100 | — | volatile |
| 48 | Ghana | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Equatorial Guinea | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Greece | 0.0% | 2100 | — | volatile |
| 48 | Guyana | 0.0% | 2100 | — | volatile |
| 48 | Hong Kong | 0.0% | 2100 | — | volatile |
| 48 | Croatia | 0.0% | 2100 | — | volatile |
| 48 | Hungary | 0.0% | 2100 | — | volatile |
| 48 | Indonesia | 0.0% | 2100 | — | volatile |
| 48 | Iran | 0.0% | 2100 | — | volatile |
| 48 | Iraq | 0.0% | 2100 | — | volatile |
| 48 | Israel | 0.0% | 2100 | — | volatile |
| 48 | Italy | 0.0% | 2100 | — | volatile |
| 48 | Jamaica | 0.0% | 2100 | — | volatile |
| 48 | Jordan | 0.0% | 2100 | — | volatile |
| 48 | Japan | 0.0% | 2100 | — | volatile |
| 48 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 48 | Kenya | 0.0% | 2100 | — | volatile |
| 48 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 48 | South Korea | 0.0% | 2100 | — | volatile |
| 48 | Kuwait | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Lebanon | 0.0% | 2100 | — | volatile |
| 48 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 48 | Lithuania | 0.0% | 2100 | — | volatile |
| 48 | Macao | 0.0% | 2100 | — | volatile |
| 48 | Moldova | 0.0% | 2100 | — | volatile |
| 48 | Mexico | 0.0% | 2100 | down 100.0% | volatile |
| 48 | North Macedonia | 0.0% | 2100 | — | volatile |
| 48 | Malta | 0.0% | 2100 | — | volatile |
| 48 | Myanmar | 0.0% | 2100 | — | volatile |
| 48 | Montenegro | 0.0% | 2100 | — | volatile |
| 48 | Mongolia | 0.0% | 2100 | — | volatile |
| 48 | Malaysia | 0.0% | 2100 | — | volatile |
| 48 | Namibia | 0.0% | 2100 | down 100.0% | volatile |
| 48 | New Caledonia | 0.0% | 2100 | — | volatile |
| 48 | Nigeria | 0.0% | 2100 | — | volatile |
| 48 | Nepal | 0.0% | 2100 | down 100.0% | volatile |
| 48 | New Zealand | 0.0% | 2100 | — | volatile |
| 48 | Panama | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Peru | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Philippines | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Poland | 0.0% | 2100 | — | volatile |
| 48 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 48 | Portugal | 0.0% | 2100 | — | volatile |
| 48 | Palestine | 0.0% | 2100 | — | volatile |
| 48 | French Polynesia | 0.0% | 2100 | — | volatile |
| 48 | Romania | 0.0% | 2100 | — | volatile |
| 48 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 48 | Singapore | 0.0% | 2100 | — | volatile |
| 48 | Somalia | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Serbia | 0.0% | 2100 | — | volatile |
| 48 | Suriname | 0.0% | 2100 | — | volatile |
| 48 | Slovenia | 0.0% | 2100 | — | volatile |
| 48 | Eswatini | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Thailand | 0.0% | 2100 | — | volatile |
| 48 | Tajikistan | 0.0% | 2100 | — | volatile |
| 48 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 48 | East Timor | 0.0% | 2100 | — | volatile |
| 48 | Tonga | 0.0% | 2100 | — | volatile |
| 48 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 48 | Tunisia | 0.0% | 2100 | — | volatile |
| 48 | Turkey | 0.0% | 2100 | — | volatile |
| 48 | Tanzania | 0.0% | 2100 | — | volatile |
| 48 | Ukraine | 0.0% | 2100 | — | volatile |
| 48 | Uruguay | 0.0% | 2100 | — | volatile |
| 48 | United States | 0.0% | 2100 | — | volatile |
| 48 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 48 | Venezuela | 0.0% | 2100 | down 100.0% | volatile |
| 48 | Samoa | 0.0% | 2100 | — | volatile |
| 48 | South Africa | 0.0% | 2100 | — | volatile |
| 48 | Zambia | 0.0% | 2100 | — | volatile |
| 48 | 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/