Statizoid

Wittgenstein Projection: Mean Years of Schooling. Age 25+. 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...

Countries reporting
166
Highest
0.27
Chad
Lowest
-0.45
Qatar
Median
0.04
Years covered
91
2010–2100
Data points
3,173

What the numbers show

Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap is currently reported for 166 countries. The highest value is 0.27 in Chad; the lowest is -0.45 in Qatar.

The median across all reporting countries is 0.04, and the mean is 0.0472.

Over the past decade 104 countries rose and 46 fell. The largest increase was in Suriname (up 500.0%), and the largest decrease in Bhutan (down 38.5%).

Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap: full country ranking

#Country LatestYear 10-year changeTrend
1 Chad 0.27 2100 down 15.6% volatile
2 Liberia 0.26 2100 down 13.3% falling
3 Burkina Faso 0.25 2100 down 13.8% volatile
4 Guinea 0.24 2100 down 31.4% volatile
5 Morocco 0.23 2100 down 20.7% volatile
5 Pakistan 0.23 2100 down 25.8% volatile
7 Benin 0.22 2100 down 12.0% volatile
7 Cambodia 0.22 2100 down 12.0% volatile
7 Mozambique, Republic of 0.22 2100 down 21.4% volatile
7 Nepal 0.22 2100 down 37.1% volatile
7 Senegal 0.22 2100 unchanged volatile
12 Mali 0.21 2100 unchanged volatile
13 Bangladesh 0.2 2100 up 25.0% volatile
13 Ethiopia, The Federal Democratic Republic of 0.2 2100 down 16.7% volatile
13 Gambia, The 0.2 2100 down 33.3% volatile
13 Guatemala 0.2 2100 down 13.0% volatile
17 Côte d’Ivoire 0.19 2100 down 24.0% volatile
18 India 0.18 2100 down 28.0% volatile
18 Sudan 0.18 2100 down 5.3% volatile
20 Maldives 0.17 2100 down 10.5% rising
20 El Salvador 0.17 2100 down 5.6% falling
22 Bhutan 0.16 2100 down 38.5% volatile
22 Congo 0.16 2100 down 23.8% volatile
22 Comoros, Union of the 0.16 2100 down 20.0% volatile
22 Gabon 0.16 2100 down 23.8% volatile
22 Niger 0.16 2100 unchanged volatile
22 Sierra Leone 0.16 2100 down 11.1% volatile
22 Somalia 0.16 2100 down 30.4% volatile
29 Central African Republic 0.15 2100 unchanged volatile
29 Türkiye 0.15 2100 down 25.0% volatile
31 Cameroon 0.14 2100 down 17.6% volatile
31 Guinea-Bissau 0.14 2100 down 36.4% volatile
31 Haiti 0.14 2100 down 33.3% volatile
31 Vanuatu 0.14 2100 unchanged volatile
35 Burundi 0.13 2100 unchanged volatile
35 Madagascar, Republic of 0.13 2100 up 30.0% volatile
35 Myanmar 0.13 2100 up 62.5% volatile
35 Rwanda 0.13 2100 up 8.3% volatile
39 Ghana 0.12 2100 down 14.3% volatile
39 Lao People's Democratic Republic 0.12 2100 down 7.7% volatile
41 Iraq 0.11 2100 down 26.7% volatile
41 Uganda 0.11 2100 unchanged volatile
43 Lesotho, Kingdom of 0.1 2100 up 25.0% volatile
43 Mauritius 0.1 2100 up 66.7% volatile
43 Malawi 0.1 2100 down 23.1% volatile
43 Syrian Arab Republic 0.1 2100 up 100.0% volatile
47 Belize 0.09 2100 up 28.6% volatile
47 Cabo Verde 0.09 2100 down 10.0% volatile
47 Tajikistan, Republic of 0.09 2100 down 25.0% volatile
47 Samoa 0.09 2100 up 350.0% volatile
47 Zambia 0.09 2100 down 18.2% volatile
52 Democratic Republic of the Congo 0.08 2100 down 20.0% volatile
52 Equatorial Guinea, Republic of 0.08 2100 down 38.5% volatile
52 Hong Kong (China) 0.08 2100 down 20.0% volatile
52 Iran, Islamic Republic of 0.08 2100 down 20.0% volatile
52 Mexico 0.08 2100 up 14.3% volatile
52 Nicaragua 0.08 2100 up 166.7% volatile
52 Tanzania, United Republic of 0.08 2100 up 100.0% volatile
59 Bolivia 0.07 2100 unchanged volatile
59 China (People’s Republic of) 0.07 2100 up 16.7% volatile
59 Egypt 0.07 2100 down 12.5% volatile
59 Honduras 0.07 2100 up 133.3% volatile
59 Indonesia 0.07 2100 up 16.7% volatile
59 São Tomé and Príncipe, Democratic Republic of 0.07 2100 up 16.7% volatile
59 Eswatini 0.07 2100 unchanged volatile
59 Zimbabwe 0.07 2100 down 22.2% volatile
67 Switzerland 0.06 2100 down 25.0% volatile
67 Costa Rica 0.06 2100 up 200.0% volatile
67 Nigeria 0.06 2100 down 25.0% volatile
67 Palestine 0.06 2100 down 14.3% volatile
67 Thailand 0.06 2100 up 100.0% volatile
67 Timor-Leste, Democratic Republic of 0.06 2100 down 33.3% volatile
67 South Africa 0.06 2100 up 20.0% volatile
74 Chile 0.05 2100 up 150.0% volatile
74 United Kingdom 0.05 2100 up 25.0% volatile
74 Kenya 0.05 2100 down 16.7% volatile
74 Namibia 0.05 2100 up 25.0% volatile
74 Paraguay 0.05 2100 up 150.0% volatile
74 Tonga 0.05 2100 up 150.0% volatile
80 Colombia 0.04 2100 — volatile
80 Macau (China) 0.04 2100 up 33.3% volatile
80 Peru 0.04 2100 up 33.3% volatile
80 Suriname 0.04 2100 up 500.0% volatile
80 Turkmenistan 0.04 2100 up 33.3% volatile
80 Tunisia 0.04 2100 up 33.3% volatile
80 Viet Nam 0.04 2100 up 100.0% volatile
87 Lebanon 0.03 2100 up 400.0% volatile
87 Malta 0.03 2100 up 200.0% volatile
87 New Zealand 0.03 2100 up 50.0% volatile
87 Trinidad and Tobago 0.03 2100 — volatile
91 Armenia 0.02 2100 up 200.0% volatile
91 Azerbaijan 0.02 2100 up 100.0% volatile
91 Brazil 0.02 2100 up 166.7% volatile
91 Algeria 0.02 2100 — volatile
91 Saint Lucia 0.02 2100 up 150.0% volatile
91 Philippines 0.02 2100 — volatile
91 Uruguay 0.02 2100 up 133.3% volatile
98 Bahamas 0.01 2100 up 116.7% volatile
98 Ecuador 0.01 2100 up 133.3% volatile
98 France 0.01 2100 — volatile
98 Guyana 0.01 2100 up 125.0% volatile
98 Kazakhstan 0.01 2100 up 150.0% volatile
98 Korea 0.01 2100 unchanged volatile
98 North Macedonia 0.01 2100 — volatile
98 Mongolia 0.01 2100 up 120.0% volatile
98 Malaysia 0.01 2100 up 200.0% volatile
98 New Caledonia 0.01 2100 up 200.0% volatile
98 Panama 0.01 2100 up 125.0% volatile
98 Russian Federation 0.01 2100 up 133.3% volatile
98 Ukraine 0.01 2100 up 150.0% volatile
111 Argentina 0 2100 up 100.0% volatile
111 Kyrgyz Republic 0 2100 up 100.0% volatile
111 Moldova 0 2100 up 100.0% volatile
111 Saudi Arabia 0 2100 up 100.0% volatile
115 Aruba -0.01 2100 up 85.7% volatile
115 Belarus, Republic of -0.01 2100 up 80.0% volatile
115 Czechia -0.01 2100 up 75.0% volatile
115 Hungary -0.01 2100 up 83.3% volatile
115 Ireland -0.01 2100 up 50.0% volatile
115 Japan -0.01 2100 up 50.0% volatile
115 Latvia -0.01 2100 up 80.0% volatile
115 Slovak Republic -0.01 2100 up 75.0% volatile
123 Albania -0.02 2100 up 66.7% volatile
123 Austria -0.02 2100 up 60.0% volatile
123 Canada -0.02 2100 up 50.0% volatile
123 Georgia -0.02 2100 up 60.0% volatile
123 Luxembourg -0.02 2100 up 60.0% volatile
123 Romania -0.02 2100 up 66.7% volatile
123 United States -0.02 2100 up 66.7% volatile
130 Belgium -0.03 2100 up 57.1% volatile
130 Bulgaria -0.03 2100 up 62.5% volatile
130 Bosnia and Herzegovina -0.03 2100 up 40.0% volatile
130 Germany -0.03 2100 up 57.1% volatile
130 Denmark -0.03 2100 up 62.5% volatile
130 Israel -0.03 2100 up 66.7% volatile
130 Netherlands -0.03 2100 up 50.0% volatile
130 French Polynesia -0.03 2100 up 62.5% volatile
130 Sweden -0.03 2100 up 50.0% volatile
130 Saint Vincent and the Grenadines -0.03 2100 up 75.0% volatile
140 Australia -0.04 2100 up 42.9% volatile
140 Dominican Republic -0.04 2100 up 66.7% volatile
140 Jamaica -0.04 2100 up 66.7% volatile
140 Jordan -0.04 2100 up 55.6% volatile
140 Lithuania -0.04 2100 up 55.6% volatile
140 Poland -0.04 2100 up 55.6% volatile
146 Cyprus -0.05 2100 up 50.0% volatile
146 Croatia -0.05 2100 up 50.0% volatile
146 Italy -0.05 2100 up 50.0% volatile
146 Puerto Rico -0.05 2100 up 50.0% rising
146 Venezuela, República Bolivariana de -0.05 2100 up 64.3% volatile
151 Cuba -0.06 2100 up 57.1% volatile
151 Estonia -0.06 2100 up 57.1% rising
151 Greece -0.06 2100 up 45.5% volatile
151 Montenegro -0.06 2100 up 50.0% volatile
151 Portugal -0.06 2100 up 60.0% volatile
151 Serbia -0.06 2100 up 50.0% volatile
157 Norway -0.07 2100 up 46.2% rising
158 Spain -0.08 2100 up 38.5% volatile
158 Slovenia -0.08 2100 up 46.7% volatile
160 Finland -0.09 2100 up 52.6% rising
160 Singapore -0.09 2100 up 10.0% volatile
162 Iceland -0.1 2100 up 44.4% volatile
163 Kuwait -0.16 2100 up 38.5% rising
164 Bahrain -0.19 2100 up 38.7% rising
165 United Arab Emirates -0.29 2100 up 37.0% rising
166 Qatar -0.45 2100 up 30.8% rising

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap by country. Statizoid, drawing on Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/. Retrieved 18 August 2026, from https://reference.statizoid.com/stat/wittgenstein-projection-mean-years-of-schooling-age-25-gender-gap/

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About this data

Indicator
Wittgenstein Projection: Mean Years of Schooling. Age 25+. Gender Gap
Source
Wittgenstein Centre for Demography and Global Human Capital: http://www.oeaw.ac.at/vid/dataexplorer/
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
167 places, 3,173 data points, 2010–2100
Last refreshed

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/