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
All1,848,673308,36316.7 %
1,540,09083.3 %2200.0 %

Gender Gap from 1920 to 1929

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1920 to 1929121,59315,31212.6 %
106,27587.4 %60.0 %

Gender Gap by country of citizenship from 1920 to 1929

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,4953,24714.4 %
19,24885.6 %00.0 %
Germany11,5801,32111.4 %
10,25988.6 %00.0 %
France7,42194312.7 %
6,47587.3 %30.0 %
United Kingdom7,19675510.5 %
6,44089.5 %10.0 %
Italy6,6905918.8 %
6,09991.2 %00.0 %
Soviet Union5,2044328.3 %
4,77291.7 %00.0 %
Japan5,1824859.4 %
4,69790.6 %00.0 %
Spain3,24435611.0 %
2,88889.0 %00.0 %
Sweden3,11663120.3 %
2,48579.7 %00.0 %
Canada2,95835211.9 %
2,60688.1 %00.0 %
Poland2,77752018.7 %
2,25781.3 %00.0 %
Kingdom of the Netherlands2,69533912.6 %
2,35487.3 %20.1 %
Norway2,12131815.0 %
1,80385.0 %00.0 %
Austria2,03931015.2 %
1,72984.8 %00.0 %
India2,00722411.2 %
1,78388.8 %00.0 %

Gender Gap by occupation from 1920 to 1929

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician16,1311,3018.1 %
14,83091.9 %00.0 %
Writer8,7881,61718.4 %
7,17081.6 %10.0 %
Actor8,1702,89635.4 %
5,27464.6 %00.0 %
Association football player6,19800.0 %
6,198100.0 %00.0 %
University teacher6,0993836.3 %
5,71693.7 %00.0 %
Journalist5,03857511.4 %
4,46388.6 %00.0 %
Painter4,28166515.5 %
3,61584.4 %10.0 %
Composer2,7771977.1 %
2,57992.9 %10.0 %
Film actor2,70995435.2 %
1,75564.8 %00.0 %
Lawyer2,6701395.2 %
2,53194.8 %00.0 %
Poet2,36640217.0 %
1,96282.9 %20.1 %
Historian2,2951868.1 %
2,10991.9 %00.0 %
Singer2,29296742.2 %
1,32557.8 %00.0 %
Screenwriter2,2671858.2 %
2,08291.8 %00.0 %