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
All1,885,491316,67016.8 %
1,568,58383.2 %2380.0 %

Gender Gap from 1920 to 1929

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1920 to 1929123,72215,75212.7 %
107,96487.3 %60.0 %

Gender Gap by country of citizenship from 1920 to 1929

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,7223,31514.6 %
19,40785.4 %00.0 %
Germany11,6521,33311.4 %
10,31988.6 %00.0 %
France7,51196912.9 %
6,53987.1 %30.0 %
United Kingdom7,11377310.9 %
6,33989.1 %10.0 %
Italy6,7706048.9 %
6,16691.1 %00.0 %
Soviet Union5,2924398.3 %
4,85391.7 %00.0 %
Japan5,2534909.3 %
4,76390.7 %00.0 %
Spain3,57540711.4 %
3,16888.6 %00.0 %
Sweden3,17564120.2 %
2,53479.8 %00.0 %
Canada2,98736412.2 %
2,62387.8 %00.0 %
Poland2,89953418.4 %
2,36581.6 %00.0 %
Kingdom of the Netherlands2,72934612.7 %
2,38187.2 %20.1 %
Finland2,25040418.0 %
1,84682.0 %00.0 %
Norway2,13231915.0 %
1,81385.0 %00.0 %
Austria2,08832915.8 %
1,75984.2 %00.0 %
India2,03823211.4 %
1,80688.6 %00.0 %

Gender Gap by occupation from 1920 to 1929

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician16,2931,3208.1 %
14,97391.9 %00.0 %
Writer9,0261,87620.8 %
7,14979.2 %10.0 %
Actor7,9052,83635.9 %
5,06964.1 %00.0 %
Association football player6,22200.0 %
6,222100.0 %00.0 %
University teacher6,0963836.3 %
5,71393.7 %00.0 %
Journalist5,06558711.6 %
4,47888.4 %00.0 %
Painter4,34168115.7 %
3,65984.3 %10.0 %
Composer2,8081987.1 %
2,60992.9 %10.0 %
Film actor2,71895735.2 %
1,76164.8 %00.0 %
Lawyer2,7101405.2 %
2,57094.8 %00.0 %
Poet2,38941217.2 %
1,97582.7 %20.1 %
Singer2,30596842.0 %
1,33758.0 %00.0 %
Historian2,3021878.1 %
2,11591.9 %00.0 %
Screenwriter2,2781898.3 %
2,08991.7 %00.0 %