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
All1,837,837306,60316.7 %
1,531,01883.3 %2160.0 %

Gender Gap from 1920 to 1929

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1920 to 1929120,70815,22212.6 %
105,48087.4 %60.0 %

Gender Gap by country of citizenship from 1920 to 1929

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,4443,23514.4 %
19,20985.6 %00.0 %
Germany11,5821,31811.4 %
10,26488.6 %00.0 %
France7,39393812.7 %
6,45287.3 %30.0 %
United Kingdom7,18375010.4 %
6,43289.5 %10.0 %
Italy6,6815898.8 %
6,09291.2 %00.0 %
Soviet Union5,1884308.3 %
4,75891.7 %00.0 %
Japan5,1414749.2 %
4,66790.8 %00.0 %
Spain3,23935511.0 %
2,88489.0 %00.0 %
Sweden3,10762920.2 %
2,47879.8 %00.0 %
Canada2,95035011.9 %
2,60088.1 %00.0 %
Poland2,76651818.7 %
2,24881.3 %00.0 %
Kingdom of the Netherlands2,67333712.6 %
2,33487.3 %20.1 %
Norway2,11931915.1 %
1,80084.9 %00.0 %
Austria2,03531015.2 %
1,72584.8 %00.0 %

Gender Gap by occupation from 1920 to 1929

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician16,0831,2948.0 %
14,78992.0 %00.0 %
Writer8,7391,60718.4 %
7,13181.6 %10.0 %
Actor8,1272,87735.4 %
5,25064.6 %00.0 %
Association football player6,18900.0 %
6,189100.0 %00.0 %
University teacher6,0943816.3 %
5,71393.7 %00.0 %
Journalist5,01757411.4 %
4,44388.6 %00.0 %
Painter4,25465915.5 %
3,59484.5 %10.0 %
Composer2,7711977.1 %
2,57392.9 %10.0 %
Film actor2,70695035.1 %
1,75664.9 %00.0 %
Lawyer2,6661395.2 %
2,52794.8 %00.0 %
Poet2,35440217.1 %
1,95082.8 %20.1 %
Singer2,28696442.2 %
1,32257.8 %00.0 %
Historian2,2771848.1 %
2,09391.9 %00.0 %
Screenwriter2,2631858.2 %
2,07891.8 %00.0 %