Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Incomplete Primary. Female by country
Total population in thousands in the specified 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)...
What the numbers show
Wittgenstein Projection: Population age 20-24 in thousands by highest level of educational attainment. Incomplete Primary. Female is currently reported for 157 countries. The highest value is 230.52 in Niger; the lowest is 0 in Samoa.
The median across all reporting countries is 0.24, and the mean is 7.99.
Wittgenstein Projection … Population Incomplete 20-24 Primary.: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Niger | 230.52 | 2100 | down 21.2% | rising |
| 2 | Tanzania | 180.08 | 2100 | down 24.3% | falling |
| 3 | Burkina Faso | 124.08 | 2100 | down 29.7% | rising |
| 4 | Mali | 107.72 | 2100 | down 28.6% | rising |
| 5 | Uganda | 85.71 | 2100 | down 34.8% | falling |
| 6 | Madagascar | 81.13 | 2100 | down 34.6% | falling |
| 7 | Democratic Republic of Congo | 51.33 | 2100 | down 47.3% | volatile |
| 8 | Sudan | 41.08 | 2100 | down 45.4% | volatile |
| 9 | Burundi | 34.89 | 2100 | down 34.6% | falling |
| 10 | Senegal | 32.57 | 2100 | down 33.9% | falling |
| 11 | Zambia | 31.3 | 2100 | down 43.3% | falling |
| 12 | Liberia | 30.97 | 2100 | down 32.3% | rising |
| 13 | Cote d'Ivoire | 23.21 | 2100 | down 45.8% | volatile |
| 14 | Rwanda | 22.66 | 2100 | down 40.3% | falling |
| 15 | Guinea | 22.3 | 2100 | down 36.5% | falling |
| 16 | Sierra Leone | 9.4 | 2100 | down 37.0% | falling |
| 17 | Cambodia | 9.19 | 2100 | down 38.2% | volatile |
| 18 | Central African Republic | 9.01 | 2100 | down 36.7% | falling |
| 19 | Malawi | 8.22 | 2100 | down 43.0% | volatile |
| 20 | Chad | 7.65 | 2100 | down 53.1% | volatile |
| 21 | India | 7.46 | 2100 | down 22.0% | volatile |
| 22 | Cameroon | 7.02 | 2100 | down 47.4% | volatile |
| 23 | Somalia | 6.74 | 2100 | down 42.8% | falling |
| 24 | Syria | 6.57 | 2100 | down 37.6% | volatile |
| 25 | Ghana | 5.5 | 2100 | down 42.3% | volatile |
| 26 | Morocco | 5.39 | 2100 | down 49.2% | volatile |
| 27 | Bangladesh | 4.34 | 2100 | down 55.4% | volatile |
| 28 | Guatemala | 4.32 | 2100 | down 40.5% | volatile |
| 29 | Ethiopia | 4.26 | 2100 | down 66.4% | volatile |
| 30 | Congo | 3.48 | 2100 | down 45.3% | volatile |
| 31 | Philippines | 3.31 | 2100 | down 23.9% | volatile |
| 32 | Honduras | 3.28 | 2100 | down 38.0% | volatile |
| 33 | Mexico | 2.93 | 2100 | down 22.3% | volatile |
| 34 | Mozambique | 2.68 | 2100 | down 61.3% | volatile |
| 35 | Brazil | 2.48 | 2100 | down 9.2% | volatile |
| 36 | Myanmar | 2.46 | 2100 | down 35.3% | volatile |
| 37 | Indonesia | 2.13 | 2100 | down 23.1% | volatile |
| 38 | Venezuela | 1.98 | 2100 | down 39.1% | volatile |
| 39 | Iraq | 1.94 | 2100 | down 56.4% | volatile |
| 40 | Laos | 1.64 | 2100 | down 40.8% | volatile |
| 41 | Nigeria | 1.62 | 2100 | down 79.5% | volatile |
| 42 | Kenya | 1.55 | 2100 | down 43.6% | volatile |
| 43 | South Africa | 1.31 | 2100 | down 13.8% | volatile |
| 44 | Benin | 1.3 | 2100 | down 61.9% | volatile |
| 45 | Argentina | 1.13 | 2100 | down 28.5% | volatile |
| 46 | Vietnam | 1.09 | 2100 | down 19.3% | volatile |
| 47 | Pakistan | 1.02 | 2100 | down 65.8% | volatile |
| 48 | Colombia | 0.99 | 2100 | down 14.7% | volatile |
| 48 | United States | 0.99 | 2100 | down 26.1% | volatile |
| 50 | Lesotho | 0.95 | 2100 | down 42.1% | volatile |
| 51 | Russia | 0.77 | 2100 | down 3.8% | volatile |
| 52 | Israel | 0.75 | 2100 | down 8.5% | falling |
| 52 | Thailand | 0.75 | 2100 | down 9.6% | volatile |
| 54 | Dominican Republic | 0.64 | 2100 | down 36.6% | volatile |
| 54 | Italy | 0.64 | 2100 | down 7.2% | volatile |
| 54 | Qatar | 0.64 | 2100 | down 37.9% | falling |
| 57 | Gambia | 0.63 | 2100 | down 42.7% | volatile |
| 58 | United Arab Emirates | 0.59 | 2100 | down 33.0% | volatile |
| 59 | Nicaragua | 0.57 | 2100 | down 41.8% | volatile |
| 60 | Egypt | 0.56 | 2100 | down 9.7% | volatile |
| 60 | Spain | 0.56 | 2100 | down 11.1% | volatile |
| 60 | Gabon | 0.56 | 2100 | down 47.7% | volatile |
| 63 | Ecuador | 0.53 | 2100 | down 37.6% | volatile |
| 63 | Peru | 0.53 | 2100 | down 13.1% | volatile |
| 65 | Comoros | 0.52 | 2100 | down 44.1% | volatile |
| 66 | Costa Rica | 0.49 | 2100 | down 41.7% | volatile |
| 66 | Haiti | 0.49 | 2100 | down 40.2% | volatile |
| 68 | Australia | 0.47 | 2100 | down 4.1% | falling |
| 69 | Iran | 0.46 | 2100 | down 37.0% | volatile |
| 69 | Paraguay | 0.46 | 2100 | down 31.3% | volatile |
| 71 | Bolivia | 0.42 | 2100 | down 26.3% | volatile |
| 72 | Japan | 0.4 | 2100 | down 9.1% | falling |
| 73 | Turkey | 0.33 | 2100 | down 61.2% | volatile |
| 74 | Canada | 0.32 | 2100 | down 3.0% | falling |
| 75 | Ukraine | 0.3 | 2100 | down 6.2% | volatile |
| 76 | Sao Tome and Principe | 0.28 | 2100 | down 26.3% | volatile |
| 77 | Chile | 0.27 | 2100 | down 12.9% | volatile |
| 78 | Namibia | 0.25 | 2100 | down 41.9% | volatile |
| 79 | Saudi Arabia | 0.24 | 2100 | down 11.1% | volatile |
| 80 | Guinea-Bissau | 0.23 | 2100 | down 46.5% | volatile |
| 80 | Kazakhstan | 0.23 | 2100 | down 11.5% | volatile |
| 80 | Nepal | 0.23 | 2100 | down 14.8% | volatile |
| 83 | Zimbabwe | 0.22 | 2100 | down 12.0% | volatile |
| 84 | Switzerland | 0.2 | 2100 | down 4.8% | flat |
| 84 | Portugal | 0.2 | 2100 | down 9.1% | volatile |
| 86 | Denmark | 0.19 | 2100 | down 5.0% | rising |
| 86 | Mauritius | 0.19 | 2100 | down 34.5% | volatile |
| 88 | Sweden | 0.18 | 2100 | down 5.3% | rising |
| 88 | Vanuatu | 0.18 | 2100 | down 41.9% | volatile |
| 90 | Algeria | 0.17 | 2100 | down 51.4% | volatile |
| 90 | Finland | 0.17 | 2100 | down 5.6% | rising |
| 90 | Malaysia | 0.17 | 2100 | down 5.6% | volatile |
| 90 | Uruguay | 0.17 | 2100 | down 32.0% | volatile |
| 94 | Austria | 0.16 | 2100 | down 11.1% | rising |
| 94 | Poland | 0.16 | 2100 | down 5.9% | volatile |
| 94 | El Salvador | 0.16 | 2100 | down 36.0% | volatile |
| 97 | Jordan | 0.14 | 2100 | down 36.4% | volatile |
| 98 | Azerbaijan | 0.12 | 2100 | down 7.7% | volatile |
| 99 | Palestine | 0.11 | 2100 | down 26.7% | volatile |
| 100 | Hong Kong | 0.1 | 2100 | unchanged | volatile |
| 100 | Norway | 0.1 | 2100 | unchanged | rising |
| 102 | Kuwait | 0.09 | 2100 | down 10.0% | volatile |
| 102 | Singapore | 0.09 | 2100 | down 10.0% | volatile |
| 104 | Belize | 0.08 | 2100 | down 38.5% | volatile |
| 104 | New Zealand | 0.08 | 2100 | unchanged | falling |
| 104 | Panama | 0.08 | 2100 | down 27.3% | volatile |
| 107 | Equatorial Guinea | 0.07 | 2100 | down 36.4% | volatile |
| 108 | South Korea | 0.06 | 2100 | down 14.3% | falling |
| 108 | Mongolia | 0.06 | 2100 | down 25.0% | volatile |
| 108 | Turkmenistan | 0.06 | 2100 | down 14.3% | falling |
| 111 | Bhutan | 0.05 | 2100 | down 37.5% | volatile |
| 112 | Bahrain | 0.04 | 2100 | down 20.0% | volatile |
| 112 | Belarus | 0.04 | 2100 | unchanged | falling |
| 112 | Hungary | 0.04 | 2100 | unchanged | volatile |
| 112 | Jamaica | 0.04 | 2100 | down 33.3% | volatile |
| 112 | Serbia | 0.04 | 2100 | unchanged | volatile |
| 112 | Slovenia | 0.04 | 2100 | unchanged | falling |
| 118 | Cuba | 0.03 | 2100 | down 25.0% | volatile |
| 118 | Greece | 0.03 | 2100 | unchanged | volatile |
| 118 | Croatia | 0.03 | 2100 | unchanged | volatile |
| 118 | Kyrgyzstan | 0.03 | 2100 | unchanged | volatile |
| 118 | Suriname | 0.03 | 2100 | down 40.0% | volatile |
| 118 | Eswatini | 0.03 | 2100 | down 50.0% | volatile |
| 124 | Armenia | 0.02 | 2100 | unchanged | volatile |
| 124 | Bahamas | 0.02 | 2100 | unchanged | volatile |
| 124 | Bosnia and Herzegovina | 0.02 | 2100 | unchanged | volatile |
| 124 | Georgia | 0.02 | 2100 | unchanged | volatile |
| 124 | Lebanon | 0.02 | 2100 | down 33.3% | volatile |
| 124 | Lithuania | 0.02 | 2100 | unchanged | volatile |
| 124 | Macao | 0.02 | 2100 | unchanged | volatile |
| 124 | Moldova | 0.02 | 2100 | unchanged | volatile |
| 124 | East Timor | 0.02 | 2100 | down 60.0% | volatile |
| 133 | Cape Verde | 0.01 | 2100 | down 66.7% | volatile |
| 133 | Cyprus | 0.01 | 2100 | unchanged | falling |
| 133 | Czechia | 0.01 | 2100 | unchanged | falling |
| 133 | Estonia | 0.01 | 2100 | unchanged | volatile |
| 133 | Iceland | 0.01 | 2100 | unchanged | volatile |
| 133 | Latvia | 0.01 | 2100 | unchanged | volatile |
| 133 | Maldives | 0.01 | 2100 | unchanged | volatile |
| 133 | North Macedonia | 0.01 | 2100 | down 50.0% | volatile |
| 133 | Puerto Rico | 0.01 | 2100 | unchanged | volatile |
| 133 | Slovakia | 0.01 | 2100 | unchanged | falling |
| 133 | Trinidad and Tobago | 0.01 | 2100 | unchanged | volatile |
| 133 | Tunisia | 0.01 | 2100 | down 50.0% | volatile |
| 145 | Aruba | 0 | 2100 | — | volatile |
| 145 | Albania | 0 | 2100 | — | volatile |
| 145 | Bulgaria | 0 | 2100 | — | volatile |
| 145 | Guyana | 0 | 2100 | — | volatile |
| 145 | Saint Lucia | 0 | 2100 | — | volatile |
| 145 | Malta | 0 | 2100 | — | volatile |
| 145 | Montenegro | 0 | 2100 | — | volatile |
| 145 | New Caledonia | 0 | 2100 | — | volatile |
| 145 | Romania | 0 | 2100 | — | volatile |
| 145 | Tajikistan | 0 | 2100 | — | volatile |
| 145 | Tonga | 0 | 2100 | — | volatile |
| 145 | Saint Vincent and the Grenadines | 0 | 2100 | — | volatile |
| 145 | Samoa | 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 1,307
About this data
Total population in thousands in the specified 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/