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
All1,885,491316,67016.8 %
1,568,58383.2 %2380.0 %

Gender Gap from 1930 to 1939

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1930 to 1939127,54117,44913.7 %
110,08686.3 %60.0 %

Gender Gap by country of citizenship from 1930 to 1939

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America22,6493,31914.7 %
19,32785.3 %30.0 %
Germany13,5601,52611.3 %
12,03488.7 %00.0 %
United Kingdom7,63489511.7 %
6,73988.3 %00.0 %
Japan6,69177411.6 %
5,91788.4 %00.0 %
France6,41292014.3 %
5,49185.6 %10.0 %
Italy6,38866310.4 %
5,72489.6 %10.0 %
Spain3,90144811.5 %
3,45388.5 %00.0 %
Canada3,50845112.9 %
3,05787.1 %00.0 %
Poland3,20252716.5 %
2,67583.5 %00.0 %
Sweden3,08778025.3 %
2,30774.7 %00.0 %
Kingdom of the Netherlands2,73238514.1 %
2,34785.9 %00.0 %
Brazil2,40234914.5 %
2,05385.5 %00.0 %
Australia2,25534215.2 %
1,91384.8 %00.0 %
India2,25329112.9 %
1,96287.1 %00.0 %
Finland2,24538917.3 %
1,85682.7 %00.0 %
Norway2,18942019.2 %
1,76980.8 %00.0 %
Soviet Union2,00322111.0 %
1,78289.0 %00.0 %

Gender Gap by occupation from 1930 to 1939

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician17,5271,94611.1 %
15,58188.9 %00.0 %
Writer9,3412,19723.5 %
7,14376.5 %10.0 %
Actor8,8473,15835.7 %
5,68864.3 %10.0 %
University teacher7,7675276.8 %
7,24093.2 %00.0 %
Association football player7,09020.0 %
7,088100.0 %00.0 %
Journalist5,20270013.5 %
4,50286.5 %00.0 %
Painter3,77763116.7 %
3,14583.3 %10.0 %
Singer2,9881,09936.8 %
1,88963.2 %00.0 %
Composer2,8642217.7 %
2,64292.2 %10.0 %
Lawyer2,8421876.6 %
2,65593.4 %00.0 %
Film actor2,7881,02836.9 %
1,76063.1 %00.0 %
Historian2,47427711.2 %
2,19788.8 %00.0 %
Poet2,39947319.7 %
1,92680.3 %00.0 %
Screenwriter2,34824910.6 %
2,09989.4 %00.0 %
Film director2,1031426.8 %
1,96193.2 %00.0 %