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 1930 to 1939

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1930 to 1939125,25016,98413.6 %
108,26186.4 %50.0 %

Gender Gap by country of citizenship from 1930 to 1939

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,4543,26414.5 %
19,18785.5 %30.0 %
Germany13,4981,51911.3 %
11,97988.7 %00.0 %
United Kingdom7,67387711.4 %
6,79688.6 %00.0 %
Japan6,59076011.5 %
5,83088.5 %00.0 %
France6,32188214.0 %
5,43886.0 %10.0 %
Italy6,31964810.3 %
5,67189.7 %00.0 %
Spain3,58240011.2 %
3,18288.8 %00.0 %
Canada3,47544312.7 %
3,03287.3 %00.0 %
Poland3,07351716.8 %
2,55683.2 %00.0 %
Sweden3,04577025.3 %
2,27574.7 %00.0 %
Kingdom of the Netherlands2,71037813.9 %
2,33286.1 %00.0 %
Brazil2,32234214.7 %
1,98085.3 %00.0 %
Australia2,21032414.7 %
1,88685.3 %00.0 %
India2,19427912.7 %
1,91587.3 %00.0 %
Norway2,17441519.1 %
1,75980.9 %00.0 %
Finland2,03436317.8 %
1,67182.2 %00.0 %

Gender Gap by occupation from 1930 to 1939

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician17,3021,91611.1 %
15,38688.9 %00.0 %
Actor9,1593,26535.6 %
5,89364.3 %10.0 %
Writer8,9811,86020.7 %
7,12079.3 %10.0 %
University teacher7,7315226.8 %
7,20993.2 %00.0 %
Association football player7,03720.0 %
7,035100.0 %00.0 %
Journalist5,15668013.2 %
4,47686.8 %00.0 %
Painter3,72061816.6 %
3,10283.4 %00.0 %
Singer2,9581,08836.8 %
1,87063.2 %00.0 %
Composer2,8752217.7 %
2,65392.3 %10.0 %
Lawyer2,7971876.7 %
2,61093.3 %00.0 %
Film actor2,7941,03337.0 %
1,76163.0 %00.0 %
Historian2,42626310.8 %
2,16389.2 %00.0 %
Poet2,39446819.5 %
1,92680.5 %00.0 %
Screenwriter2,34424810.6 %
2,09689.4 %00.0 %
Film director2,0961406.7 %
1,95693.3 %00.0 %