Wittgenstein Projection: Percentage of the population age 80+ 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 80+ by highest level of educational attainment. Incomplete Primary. Female is currently reported for 149 countries. The highest value is 0.2% 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 80+ by: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Madagascar | 0.2% | 2100 | down 20.0% | falling |
| 2 | Chad | 0.1% | 2100 | down 20.0% | volatile |
| 3 | Belize | 0.1% | 2100 | down 26.7% | falling |
| 4 | Ethiopia | 0.1% | 2100 | down 33.3% | volatile |
| 5 | Burundi | 0.1% | 2100 | down 33.3% | rising |
| 5 | Benin | 0.1% | 2100 | down 20.0% | rising |
| 5 | Cape Verde | 0.1% | 2100 | down 33.3% | falling |
| 5 | Guatemala | 0.1% | 2100 | down 38.5% | falling |
| 5 | Mozambique | 0.1% | 2100 | down 20.0% | volatile |
| 5 | Uganda | 0.1% | 2100 | down 38.5% | falling |
| 11 | Malawi | 0.1% | 2100 | down 36.4% | falling |
| 11 | Niger | 0.1% | 2100 | down 22.2% | volatile |
| 11 | Rwanda | 0.1% | 2100 | down 36.4% | falling |
| 11 | Sao Tome and Principe | 0.1% | 2100 | down 41.7% | volatile |
| 15 | Burkina Faso | 0.1% | 2100 | down 25.0% | volatile |
| 15 | Syria | 0.1% | 2100 | down 40.0% | falling |
| 17 | Bangladesh | 0.1% | 2100 | down 16.7% | falling |
| 17 | Cambodia | 0.1% | 2100 | down 44.4% | falling |
| 17 | Nicaragua | 0.1% | 2100 | down 37.5% | falling |
| 17 | Sierra Leone | 0.1% | 2100 | down 16.7% | rising |
| 21 | Côte d'Ivoire | 0.0% | 2100 | down 42.9% | volatile |
| 21 | Liberia | 0.0% | 2100 | down 20.0% | volatile |
| 21 | Mali | 0.0% | 2100 | down 20.0% | volatile |
| 21 | Qatar | 0.0% | 2100 | down 20.0% | volatile |
| 21 | El Salvador | 0.0% | 2100 | down 42.9% | falling |
| 26 | Bhutan | 0.0% | 2100 | down 50.0% | volatile |
| 26 | Central African Republic | 0.0% | 2100 | down 40.0% | volatile |
| 26 | Guinea-Bissau | 0.0% | 2100 | down 25.0% | volatile |
| 26 | Honduras | 0.0% | 2100 | down 40.0% | volatile |
| 26 | Haiti | 0.0% | 2100 | down 57.1% | falling |
| 26 | Lao People's Democratic Republic | 0.0% | 2100 | down 25.0% | volatile |
| 26 | Sudan | 0.0% | 2100 | down 40.0% | rising |
| 33 | Gambia | 0.0% | 2100 | down 33.3% | volatile |
| 33 | Lesotho | 0.0% | 2100 | down 50.0% | volatile |
| 33 | Morocco | 0.0% | 2100 | down 33.3% | volatile |
| 33 | Mauritius | 0.0% | 2100 | down 50.0% | volatile |
| 33 | Paraguay | 0.0% | 2100 | down 50.0% | volatile |
| 33 | Senegal | 0.0% | 2100 | down 33.3% | volatile |
| 33 | Vanuatu | 0.0% | 2100 | down 60.0% | volatile |
| 40 | Argentina | 0.0% | 2100 | unchanged | volatile |
| 40 | Bolivia, Plurinational State of | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Brazil | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Cameroon | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Congo, Democratic Republic of the | 0.0% | 2100 | down 66.7% | volatile |
| 40 | Colombia | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Comoros | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Dominican Republic | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Ecuador | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Ghana | 0.0% | 2100 | unchanged | falling |
| 40 | Guinea | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Equatorial Guinea | 0.0% | 2100 | down 50.0% | volatile |
| 40 | India | 0.0% | 2100 | down 50.0% | falling |
| 40 | Kuwait | 0.0% | 2100 | unchanged | volatile |
| 40 | Maldives | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Mexico | 0.0% | 2100 | unchanged | volatile |
| 40 | Namibia | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Nepal | 0.0% | 2100 | unchanged | volatile |
| 40 | Pakistan | 0.0% | 2100 | down 50.0% | falling |
| 40 | Panama | 0.0% | 2100 | unchanged | volatile |
| 40 | Peru | 0.0% | 2100 | down 50.0% | volatile |
| 40 | Philippines | 0.0% | 2100 | unchanged | volatile |
| 40 | Somalia | 0.0% | 2100 | down 50.0% | flat |
| 40 | Eswatini | 0.0% | 2100 | unchanged | volatile |
| 40 | Venezuela, Bolivarian Republic of | 0.0% | 2100 | unchanged | volatile |
| 40 | Viet Nam | 0.0% | 2100 | down 50.0% | volatile |
| 66 | Aruba | 0.0% | 2100 | — | volatile |
| 66 | Albania | 0.0% | 2100 | — | volatile |
| 66 | United Arab Emirates | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Armenia | 0.0% | 2100 | — | volatile |
| 66 | Australia | 0.0% | 2100 | — | volatile |
| 66 | Azerbaijan | 0.0% | 2100 | — | volatile |
| 66 | Bulgaria | 0.0% | 2100 | — | volatile |
| 66 | Bahrain | 0.0% | 2100 | — | volatile |
| 66 | Bahamas | 0.0% | 2100 | — | volatile |
| 66 | Bosnia and Herzegovina | 0.0% | 2100 | — | volatile |
| 66 | Belarus | 0.0% | 2100 | — | volatile |
| 66 | Canada | 0.0% | 2100 | — | volatile |
| 66 | Chile | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Congo | 0.0% | 2100 | — | volatile |
| 66 | Costa Rica | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Cuba | 0.0% | 2100 | — | volatile |
| 66 | Cyprus | 0.0% | 2100 | — | volatile |
| 66 | Algeria | 0.0% | 2100 | — | volatile |
| 66 | Egypt | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Spain | 0.0% | 2100 | — | volatile |
| 66 | Estonia | 0.0% | 2100 | — | volatile |
| 66 | Gabon | 0.0% | 2100 | — | volatile |
| 66 | Georgia | 0.0% | 2100 | — | volatile |
| 66 | Greece | 0.0% | 2100 | — | volatile |
| 66 | Guyana | 0.0% | 2100 | — | volatile |
| 66 | Hong Kong | 0.0% | 2100 | — | volatile |
| 66 | Croatia | 0.0% | 2100 | — | volatile |
| 66 | Hungary | 0.0% | 2100 | — | volatile |
| 66 | Indonesia | 0.0% | 2100 | — | volatile |
| 66 | Iran, Islamic Republic of | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Iraq | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Israel | 0.0% | 2100 | — | volatile |
| 66 | Italy | 0.0% | 2100 | — | volatile |
| 66 | Jamaica | 0.0% | 2100 | — | volatile |
| 66 | Jordan | 0.0% | 2100 | — | volatile |
| 66 | Japan | 0.0% | 2100 | — | volatile |
| 66 | Kazakhstan | 0.0% | 2100 | — | volatile |
| 66 | Kenya | 0.0% | 2100 | — | volatile |
| 66 | Kyrgyzstan | 0.0% | 2100 | — | volatile |
| 66 | Republic of Korea | 0.0% | 2100 | — | volatile |
| 66 | Lebanon | 0.0% | 2100 | — | volatile |
| 66 | Saint Lucia | 0.0% | 2100 | — | volatile |
| 66 | Lithuania | 0.0% | 2100 | — | volatile |
| 66 | Latvia | 0.0% | 2100 | — | volatile |
| 66 | Macao | 0.0% | 2100 | — | volatile |
| 66 | Republic of Moldova | 0.0% | 2100 | — | volatile |
| 66 | North Macedonia | 0.0% | 2100 | — | volatile |
| 66 | Malta | 0.0% | 2100 | — | volatile |
| 66 | Myanmar | 0.0% | 2100 | — | volatile |
| 66 | Montenegro | 0.0% | 2100 | — | volatile |
| 66 | Mongolia | 0.0% | 2100 | — | volatile |
| 66 | Malaysia | 0.0% | 2100 | — | volatile |
| 66 | New Caledonia | 0.0% | 2100 | — | volatile |
| 66 | Nigeria | 0.0% | 2100 | down 100.0% | volatile |
| 66 | New Zealand | 0.0% | 2100 | — | volatile |
| 66 | Poland | 0.0% | 2100 | — | volatile |
| 66 | Puerto Rico | 0.0% | 2100 | — | volatile |
| 66 | Portugal | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Palestine, State of | 0.0% | 2100 | — | volatile |
| 66 | French Polynesia | 0.0% | 2100 | — | volatile |
| 66 | Romania | 0.0% | 2100 | — | volatile |
| 66 | Russian Federation | 0.0% | 2100 | — | volatile |
| 66 | Saudi Arabia | 0.0% | 2100 | — | volatile |
| 66 | Singapore | 0.0% | 2100 | — | volatile |
| 66 | Serbia | 0.0% | 2100 | — | volatile |
| 66 | Suriname | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Slovenia | 0.0% | 2100 | — | volatile |
| 66 | Thailand | 0.0% | 2100 | — | volatile |
| 66 | Tajikistan | 0.0% | 2100 | — | volatile |
| 66 | Turkmenistan | 0.0% | 2100 | — | volatile |
| 66 | Timor-Leste | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Tonga | 0.0% | 2100 | — | volatile |
| 66 | Trinidad and Tobago | 0.0% | 2100 | — | volatile |
| 66 | Tunisia | 0.0% | 2100 | — | volatile |
| 66 | Türkiye | 0.0% | 2100 | — | volatile |
| 66 | Tanzania, United Republic of | 0.0% | 2100 | — | volatile |
| 66 | Ukraine | 0.0% | 2100 | — | volatile |
| 66 | Uruguay | 0.0% | 2100 | — | volatile |
| 66 | United States of America | 0.0% | 2100 | — | volatile |
| 66 | Saint Vincent and the Grenadines | 0.0% | 2100 | — | volatile |
| 66 | Samoa | 0.0% | 2100 | — | volatile |
| 66 | South Africa | 0.0% | 2100 | down 100.0% | volatile |
| 66 | Zambia | 0.0% | 2100 | down 100.0% | volatile |
| 66 | 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/