Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap by country
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. Projections are based on collected census and survey data for the...
What the numbers show
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap is currently reported for 166 countries. The highest value is 0.23 in Chad; the lowest is -0.39 in Qatar.
The median across all reporting countries is 0.02, and the mean is 0.028.
Over the past decade 100 countries rose and 47 fell. The largest increase was in Samoa (up 600.0%), and the largest decrease in Timor-Leste, Democratic Republic of (down 50.0%).
Wittgenstein Projection: Mean Years of Schooling. Age 15+. Gender Gap: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Chad | 0.23 | 2100 | down 11.5% | volatile |
| 2 | Liberia | 0.22 | 2100 | down 12.0% | volatile |
| 3 | Burkina Faso | 0.2 | 2100 | down 13.0% | volatile |
| 3 | Guinea | 0.2 | 2100 | down 31.0% | volatile |
| 3 | Cambodia | 0.2 | 2100 | down 13.0% | volatile |
| 3 | Pakistan | 0.2 | 2100 | down 25.9% | volatile |
| 7 | Benin | 0.19 | 2100 | down 13.6% | volatile |
| 7 | Mozambique | 0.19 | 2100 | down 20.8% | volatile |
| 7 | Nepal | 0.19 | 2100 | down 36.7% | volatile |
| 7 | Senegal | 0.19 | 2100 | unchanged | volatile |
| 11 | Bangladesh | 0.18 | 2100 | up 20.0% | volatile |
| 11 | Morocco | 0.18 | 2100 | down 28.0% | volatile |
| 11 | Mali | 0.18 | 2100 | unchanged | volatile |
| 14 | Ethiopia, The Federal Democratic Republic of | 0.17 | 2100 | down 15.0% | volatile |
| 14 | Guatemala | 0.17 | 2100 | down 15.0% | falling |
| 16 | Gambia, The | 0.16 | 2100 | down 33.3% | volatile |
| 16 | India | 0.16 | 2100 | down 27.3% | volatile |
| 18 | Maldives | 0.15 | 2100 | down 11.8% | rising |
| 19 | Bhutan | 0.14 | 2100 | down 39.1% | volatile |
| 19 | Côte d’Ivoire | 0.14 | 2100 | down 30.0% | volatile |
| 21 | Sudan | 0.13 | 2100 | down 13.3% | volatile |
| 21 | Sierra Leone | 0.13 | 2100 | down 13.3% | volatile |
| 21 | Somalia | 0.13 | 2100 | down 31.6% | volatile |
| 21 | Türkiye | 0.13 | 2100 | down 23.5% | volatile |
| 21 | Vanuatu | 0.13 | 2100 | unchanged | volatile |
| 26 | Gabon | 0.12 | 2100 | down 29.4% | volatile |
| 26 | Madagascar, Republic of | 0.12 | 2100 | up 20.0% | volatile |
| 26 | Niger | 0.12 | 2100 | unchanged | volatile |
| 26 | El Salvador | 0.12 | 2100 | down 7.7% | falling |
| 30 | Congo, Republic of | 0.11 | 2100 | down 26.7% | volatile |
| 30 | Comoros, Union of the | 0.11 | 2100 | down 21.4% | volatile |
| 30 | Guinea-Bissau | 0.11 | 2100 | down 38.9% | volatile |
| 30 | Lao People's Democratic Republic | 0.11 | 2100 | down 8.3% | volatile |
| 30 | Myanmar | 0.11 | 2100 | up 57.1% | volatile |
| 35 | Burundi | 0.1 | 2100 | unchanged | volatile |
| 35 | Cameroon | 0.1 | 2100 | down 23.1% | volatile |
| 35 | Ghana | 0.1 | 2100 | down 16.7% | volatile |
| 38 | Central African Republic | 0.09 | 2100 | down 10.0% | volatile |
| 38 | Haiti | 0.09 | 2100 | down 40.0% | volatile |
| 38 | Rwanda | 0.09 | 2100 | up 12.5% | volatile |
| 38 | Uganda | 0.09 | 2100 | up 12.5% | volatile |
| 42 | Belize | 0.08 | 2100 | up 33.3% | volatile |
| 42 | Cabo Verde | 0.08 | 2100 | unchanged | volatile |
| 42 | Iraq | 0.08 | 2100 | down 27.3% | volatile |
| 42 | Lesotho | 0.08 | 2100 | up 33.3% | volatile |
| 42 | Mauritius | 0.08 | 2100 | up 33.3% | volatile |
| 42 | Malawi | 0.08 | 2100 | down 27.3% | volatile |
| 42 | Syrian Arab Republic | 0.08 | 2100 | up 166.7% | volatile |
| 49 | Samoa | 0.07 | 2100 | up 600.0% | volatile |
| 50 | China (People’s Republic of) | 0.06 | 2100 | unchanged | volatile |
| 50 | Equatorial Guinea, Republic of | 0.06 | 2100 | down 45.5% | volatile |
| 50 | Honduras | 0.06 | 2100 | up 100.0% | volatile |
| 50 | Iran, Islamic Republic of | 0.06 | 2100 | down 25.0% | volatile |
| 50 | Mexico | 0.06 | 2100 | up 20.0% | volatile |
| 50 | Nicaragua | 0.06 | 2100 | up 200.0% | volatile |
| 50 | São Tomé and Príncipe, Democratic Republic of | 0.06 | 2100 | up 20.0% | volatile |
| 50 | Zambia | 0.06 | 2100 | down 25.0% | volatile |
| 58 | Bolivia | 0.05 | 2100 | unchanged | volatile |
| 58 | Costa Rica | 0.05 | 2100 | up 150.0% | volatile |
| 58 | Egypt, Arab Republic of | 0.05 | 2100 | down 16.7% | volatile |
| 58 | Indonesia | 0.05 | 2100 | up 25.0% | volatile |
| 58 | Tajikistan, Republic of | 0.05 | 2100 | down 28.6% | volatile |
| 58 | Tanzania | 0.05 | 2100 | up 66.7% | volatile |
| 64 | Switzerland | 0.04 | 2100 | down 33.3% | volatile |
| 64 | Congo, Democratic Republic of the | 0.04 | 2100 | down 33.3% | volatile |
| 64 | Namibia | 0.04 | 2100 | up 33.3% | volatile |
| 64 | Paraguay | 0.04 | 2100 | up 300.0% | volatile |
| 64 | Palestine | 0.04 | 2100 | down 20.0% | volatile |
| 64 | Thailand | 0.04 | 2100 | up 300.0% | volatile |
| 64 | Tonga | 0.04 | 2100 | up 300.0% | volatile |
| 64 | Vietnam | 0.04 | 2100 | up 100.0% | volatile |
| 64 | South Africa | 0.04 | 2100 | unchanged | volatile |
| 73 | Chile | 0.03 | 2100 | up 200.0% | volatile |
| 73 | Colombia | 0.03 | 2100 | up 400.0% | volatile |
| 73 | United Kingdom | 0.03 | 2100 | up 50.0% | volatile |
| 73 | Suriname | 0.03 | 2100 | up 400.0% | volatile |
| 73 | Timor-Leste, Democratic Republic of | 0.03 | 2100 | down 50.0% | volatile |
| 73 | Trinidad and Tobago | 0.03 | 2100 | — | volatile |
| 79 | Hong Kong Special Administrative Region, People's Republic of China | 0.02 | 2100 | down 50.0% | volatile |
| 79 | Nigeria | 0.02 | 2100 | down 50.0% | volatile |
| 79 | Peru | 0.02 | 2100 | unchanged | volatile |
| 79 | Eswatini, Kingdom of | 0.02 | 2100 | down 33.3% | volatile |
| 79 | Turkmenistan | 0.02 | 2100 | up 100.0% | volatile |
| 79 | Zimbabwe | 0.02 | 2100 | down 50.0% | volatile |
| 85 | Azerbaijan, Republic of | 0.01 | 2100 | — | volatile |
| 85 | Brazil | 0.01 | 2100 | up 133.3% | volatile |
| 85 | Algeria | 0.01 | 2100 | — | volatile |
| 85 | Guyana | 0.01 | 2100 | up 125.0% | volatile |
| 85 | Kenya | 0.01 | 2100 | down 50.0% | volatile |
| 85 | Lebanon | 0.01 | 2100 | up 150.0% | volatile |
| 85 | St. Lucia | 0.01 | 2100 | up 125.0% | volatile |
| 85 | Macau (China) | 0.01 | 2100 | — | volatile |
| 85 | Malta | 0.01 | 2100 | — | volatile |
| 85 | Malaysia | 0.01 | 2100 | up 200.0% | volatile |
| 85 | New Zealand | 0.01 | 2100 | unchanged | volatile |
| 85 | Philippines | 0.01 | 2100 | up 200.0% | volatile |
| 85 | Tunisia | 0.01 | 2100 | — | volatile |
| 85 | Uruguay | 0.01 | 2100 | up 114.3% | volatile |
| 99 | Bahamas, The | 0 | 2100 | up 100.0% | volatile |
| 99 | Kazakhstan, Republic of | 0 | 2100 | up 100.0% | volatile |
| 99 | Panama | 0 | 2100 | up 100.0% | volatile |
| 102 | Ecuador | -0.01 | 2100 | up 75.0% | volatile |
| 102 | France | -0.01 | 2100 | up 50.0% | volatile |
| 102 | Moldova, Republic of | -0.01 | 2100 | up 75.0% | volatile |
| 102 | North Macedonia, Republic of | -0.01 | 2100 | unchanged | volatile |
| 102 | Mongolia | -0.01 | 2100 | up 83.3% | volatile |
| 102 | New Caledonia | -0.01 | 2100 | up 66.7% | volatile |
| 102 | Saudi Arabia | -0.01 | 2100 | up 50.0% | volatile |
| 102 | Ukraine | -0.01 | 2100 | up 75.0% | volatile |
| 110 | Albania | -0.02 | 2100 | up 66.7% | volatile |
| 110 | Argentina | -0.02 | 2100 | up 75.0% | volatile |
| 110 | Armenia, Republic of | -0.02 | 2100 | up 60.0% | rising |
| 110 | Czechia | -0.02 | 2100 | up 50.0% | volatile |
| 110 | Ireland | -0.02 | 2100 | up 33.3% | volatile |
| 110 | Israel | -0.02 | 2100 | up 71.4% | volatile |
| 110 | Kyrgyz Republic | -0.02 | 2100 | up 60.0% | rising |
| 110 | Russia | -0.02 | 2100 | up 60.0% | volatile |
| 110 | Slovak Republic | -0.02 | 2100 | up 50.0% | volatile |
| 119 | Aruba | -0.03 | 2100 | up 66.7% | volatile |
| 119 | Belarus, Republic of | -0.03 | 2100 | up 57.1% | volatile |
| 119 | Canada | -0.03 | 2100 | up 40.0% | rising |
| 119 | Hungary | -0.03 | 2100 | up 62.5% | volatile |
| 119 | Korea | -0.03 | 2100 | unchanged | volatile |
| 119 | Luxembourg | -0.03 | 2100 | up 50.0% | volatile |
| 119 | French Polynesia | -0.03 | 2100 | up 57.1% | volatile |
| 119 | St. Vincent and the Grenadines | -0.03 | 2100 | up 72.7% | volatile |
| 127 | Australia | -0.04 | 2100 | up 42.9% | volatile |
| 127 | Austria | -0.04 | 2100 | up 33.3% | volatile |
| 127 | Bosnia and Herzegovina | -0.04 | 2100 | up 33.3% | volatile |
| 127 | Cyprus | -0.04 | 2100 | up 50.0% | volatile |
| 127 | Georgia | -0.04 | 2100 | up 42.9% | rising |
| 127 | Jamaica | -0.04 | 2100 | up 63.6% | volatile |
| 127 | Japan | -0.04 | 2100 | up 20.0% | volatile |
| 127 | Latvia | -0.04 | 2100 | up 50.0% | rising |
| 127 | Netherlands | -0.04 | 2100 | up 42.9% | volatile |
| 127 | Romania | -0.04 | 2100 | up 50.0% | volatile |
| 127 | Sweden | -0.04 | 2100 | up 42.9% | rising |
| 127 | United States | -0.04 | 2100 | up 50.0% | rising |
| 139 | Belgium | -0.05 | 2100 | up 37.5% | volatile |
| 139 | Bulgaria | -0.05 | 2100 | up 50.0% | rising |
| 139 | Denmark | -0.05 | 2100 | up 50.0% | rising |
| 139 | Dominican Republic | -0.05 | 2100 | up 54.5% | volatile |
| 139 | Italy | -0.05 | 2100 | up 50.0% | volatile |
| 139 | Jordan | -0.05 | 2100 | up 50.0% | volatile |
| 139 | Venezuela, República Bolivariana de | -0.05 | 2100 | up 61.5% | volatile |
| 146 | Cuba | -0.06 | 2100 | up 57.1% | volatile |
| 146 | Germany | -0.06 | 2100 | up 40.0% | volatile |
| 146 | Croatia, Republic of | -0.06 | 2100 | up 45.5% | volatile |
| 146 | Poland | -0.06 | 2100 | up 45.5% | rising |
| 146 | Puerto Rico | -0.06 | 2100 | up 40.0% | rising |
| 151 | Greece | -0.07 | 2100 | up 36.4% | volatile |
| 151 | Norway | -0.07 | 2100 | up 36.4% | rising |
| 151 | Portugal | -0.07 | 2100 | up 53.3% | volatile |
| 151 | Serbia, Republic of | -0.07 | 2100 | up 41.7% | volatile |
| 155 | Spain | -0.08 | 2100 | up 38.5% | volatile |
| 155 | Lithuania | -0.08 | 2100 | up 38.5% | rising |
| 155 | Montenegro | -0.08 | 2100 | up 38.5% | volatile |
| 158 | Slovenia | -0.09 | 2100 | up 40.0% | volatile |
| 159 | Estonia | -0.1 | 2100 | up 41.2% | rising |
| 159 | Finland | -0.1 | 2100 | up 44.4% | rising |
| 159 | Iceland | -0.1 | 2100 | up 41.2% | volatile |
| 162 | Kuwait | -0.12 | 2100 | up 42.9% | volatile |
| 162 | Singapore | -0.12 | 2100 | up 7.7% | volatile |
| 164 | Bahrain, Kingdom of | -0.13 | 2100 | up 43.5% | rising |
| 165 | United Arab Emirates | -0.24 | 2100 | up 38.5% | rising |
| 166 | Qatar | -0.39 | 2100 | up 31.6% | rising |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- World 0.08
About this data
The difference between male and female mean number of years spent in school by age group. It is calculated by subtracting the female value from the male value. Data can be negative if the mean years of schooling for females is higher than for males. 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/