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 1930 to 1939

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1930 to 1939121,78916,46213.5 %
105,32386.5 %40.0 %

Gender Gap by country of citizenship from 1930 to 1939

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,1433,17914.4 %
18,96285.6 %20.0 %
Germany13,4551,51411.3 %
11,94188.7 %00.0 %
United Kingdom7,55385911.4 %
6,69488.6 %00.0 %
Italy6,24763410.1 %
5,61389.9 %00.0 %
France6,24086913.9 %
5,37086.1 %10.0 %
Japan5,60268512.2 %
4,91787.8 %00.0 %
Spain3,49638511.0 %
3,11189.0 %00.0 %
Canada3,44143612.7 %
3,00587.3 %00.0 %
Sweden3,01876025.2 %
2,25874.8 %00.0 %
Poland3,01450816.9 %
2,50683.1 %00.0 %
Kingdom of the Netherlands2,67737514.0 %
2,30286.0 %00.0 %
Brazil2,28933614.7 %
1,95385.3 %00.0 %
Australia2,17631214.3 %
1,86485.7 %00.0 %
India2,12127012.7 %
1,85187.3 %00.0 %
Norway2,11640219.0 %
1,71481.0 %00.0 %

Gender Gap by occupation from 1930 to 1939

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician16,9751,89111.1 %
15,08488.9 %00.0 %
Actor8,9523,19735.7 %
5,75464.3 %10.0 %
Writer8,7511,80620.6 %
6,94479.4 %10.0 %
University teacher7,6565066.6 %
7,15093.4 %00.0 %
Association football player6,96620.0 %
6,964100.0 %00.0 %
Journalist5,04965813.0 %
4,39187.0 %00.0 %
Painter3,61058816.3 %
3,02283.7 %00.0 %
Singer2,8991,06636.8 %
1,83363.2 %00.0 %
Composer2,8062177.7 %
2,58992.3 %00.0 %
Film actor2,7841,02736.9 %
1,75763.1 %00.0 %
Lawyer2,7491806.5 %
2,56993.5 %00.0 %
Historian2,32425811.1 %
2,06688.9 %00.0 %
Screenwriter2,29924010.4 %
2,05989.6 %00.0 %
Poet2,28844619.5 %
1,84280.5 %00.0 %
Film director2,0611376.6 %
1,92493.4 %00.0 %