This tool provides data about gender gap on Wikidata and Wikipedia. There is a methodology explaining how these statistics are generated.


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Gender Gap

TotalFemales% FemalesGapMales% MalesOthers% Others
All1,799,834299,42216.6 %
1,500,22883.4 %1840.0 %

Gender Gap from 1920 to 1929

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1920 to 1929117,17414,80412.6 %
102,36687.4 %40.0 %

Gender Gap by country of citizenship from 1920 to 1929

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,2073,17914.3 %
19,02885.7 %00.0 %
Germany11,5351,31611.4 %
10,21988.6 %00.0 %
France7,33893312.7 %
6,40387.3 %20.0 %
United Kingdom7,06873110.3 %
6,33789.7 %00.0 %
Italy6,6425798.7 %
6,06391.3 %00.0 %
Soviet Union5,1054208.2 %
4,68591.8 %00.0 %
Japan3,75938710.3 %
3,37289.7 %00.0 %
Spain3,17034911.0 %
2,82189.0 %00.0 %
Sweden3,05562420.4 %
2,43179.6 %00.0 %
Canada2,92634711.9 %
2,57988.1 %00.0 %
Poland2,70350418.6 %
2,19981.4 %00.0 %
Kingdom of the Netherlands2,63733212.6 %
2,30387.3 %20.1 %
Norway2,10331515.0 %
1,78885.0 %00.0 %

Gender Gap by occupation from 1920 to 1929

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician15,6941,2688.1 %
14,42691.9 %00.0 %
Writer8,5591,57218.4 %
6,98681.6 %10.0 %
Actor7,9972,83335.4 %
5,16464.6 %00.0 %
Association football player6,13600.0 %
6,136100.0 %00.0 %
University teacher6,0493776.2 %
5,67293.8 %00.0 %
Journalist4,92556911.6 %
4,35688.4 %00.0 %
Painter4,13364015.5 %
3,49284.5 %10.0 %
Composer2,7211967.2 %
2,52592.8 %00.0 %
Film actor2,69594435.0 %
1,75165.0 %00.0 %
Lawyer2,6321365.2 %
2,49694.8 %00.0 %
Poet2,27839417.3 %
1,88382.7 %10.0 %
Singer2,24394342.0 %
1,30058.0 %00.0 %
Screenwriter2,2331788.0 %
2,05592.0 %00.0 %
Historian2,1561748.1 %
1,98291.9 %00.0 %