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
All1,874,236314,36616.8 %
1,559,63183.2 %2390.0 %

Gender Gap from 1930 to 1939

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1930 to 1939126,74917,31313.7 %
109,43186.3 %50.0 %

Gender Gap by country of citizenship from 1930 to 1939

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,5823,29514.6 %
19,28485.4 %30.0 %
Germany13,5121,52311.3 %
11,98988.7 %00.0 %
United Kingdom7,59787911.6 %
6,71888.4 %00.0 %
Japan6,63776811.6 %
5,86988.4 %00.0 %
France6,37390714.2 %
5,46585.8 %10.0 %
Italy6,34865510.3 %
5,69389.7 %00.0 %
Spain3,82242611.1 %
3,39688.9 %00.0 %
Canada3,48844612.8 %
3,04287.2 %00.0 %
Poland3,09552316.9 %
2,57283.1 %00.0 %
Sweden3,06977425.2 %
2,29574.8 %00.0 %
Kingdom of the Netherlands2,72038414.1 %
2,33685.9 %00.0 %
Brazil2,34234514.7 %
1,99785.3 %00.0 %
India2,24029012.9 %
1,95087.1 %00.0 %
Australia2,23933414.9 %
1,90585.1 %00.0 %
Norway2,18441919.2 %
1,76580.8 %00.0 %
Finland2,05736417.7 %
1,69382.3 %00.0 %

Gender Gap by occupation from 1930 to 1939

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician17,4931,94911.1 %
15,54488.9 %00.0 %
Writer9,2182,03022.0 %
7,18778.0 %10.0 %
Actor9,1973,27335.6 %
5,92464.4 %00.0 %
University teacher7,8965416.9 %
7,35593.1 %00.0 %
Association football player7,06420.0 %
7,062100.0 %00.0 %
Journalist5,21569613.3 %
4,51986.7 %00.0 %
Painter3,77063316.8 %
3,13783.2 %00.0 %
Singer2,9921,10336.9 %
1,88963.1 %00.0 %
Composer2,8972247.7 %
2,67292.2 %10.0 %
Lawyer2,8291876.6 %
2,64293.4 %00.0 %
Film actor2,8021,03737.0 %
1,76563.0 %00.0 %
Historian2,47127611.2 %
2,19588.8 %00.0 %
Poet2,41447519.7 %
1,93980.3 %00.0 %
Screenwriter2,34824810.6 %
2,10089.4 %00.0 %
Film director2,0951426.8 %
1,95393.2 %00.0 %