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
All1,805,835300,72316.7 %
1,504,91783.3 %1950.0 %

Gender Gap from 1930 to 1939

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1930 to 1939122,17116,53013.5 %
105,63786.5 %40.0 %

Gender Gap by country of citizenship from 1930 to 1939

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,1693,18614.4 %
18,98185.6 %20.0 %
Germany13,4651,51611.3 %
11,94988.7 %00.0 %
United Kingdom7,56986511.4 %
6,70488.6 %00.0 %
Italy6,26563710.2 %
5,62889.8 %00.0 %
France6,24986813.9 %
5,38086.1 %10.0 %
Japan5,63168712.2 %
4,94487.8 %00.0 %
Spain3,52038911.1 %
3,13188.9 %00.0 %
Canada3,44343612.7 %
3,00787.3 %00.0 %
Sweden3,03176525.2 %
2,26674.8 %00.0 %
Poland3,02450916.8 %
2,51583.2 %00.0 %
Kingdom of the Netherlands2,68937513.9 %
2,31486.1 %00.0 %
Brazil2,29233714.7 %
1,95585.3 %00.0 %
Australia2,18231514.4 %
1,86785.6 %00.0 %
Norway2,15741219.1 %
1,74580.9 %00.0 %
India2,13027012.7 %
1,86087.3 %00.0 %

Gender Gap by occupation from 1930 to 1939

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician17,0151,89611.1 %
15,11988.9 %00.0 %
Actor8,9733,19935.7 %
5,77364.3 %10.0 %
Writer8,8101,81920.6 %
6,99079.3 %10.0 %
University teacher7,6825116.7 %
7,17193.3 %00.0 %
Association football player6,97420.0 %
6,972100.0 %00.0 %
Journalist5,06366413.1 %
4,39986.9 %00.0 %
Painter3,62059116.3 %
3,02983.7 %00.0 %
Singer2,9041,06736.7 %
1,83763.3 %00.0 %
Composer2,8152177.7 %
2,59892.3 %00.0 %
Film actor2,7791,02737.0 %
1,75263.0 %00.0 %
Lawyer2,7591826.6 %
2,57793.4 %00.0 %
Historian2,34125911.1 %
2,08288.9 %00.0 %
Poet2,30544819.4 %
1,85780.6 %00.0 %
Screenwriter2,30224210.5 %
2,06089.5 %00.0 %
Film director2,0631376.6 %
1,92693.4 %00.0 %