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 in United States of America

CountryTotalFemales% FemalesGapMales% MalesOthers% Others
United States of America301,87052,25217.3 %
249,52182.7 %970.0 %

Gender Gap by year of birth in United States of America

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16094936.1 %total under the threshold of 2000 people4693.9 %00.0 %
1610 → 16194412.3 %total under the threshold of 2000 people4397.7 %00.0 %
1620 → 16294836.3 %total under the threshold of 2000 people4593.8 %00.0 %
1630 → 16394324.7 %total under the threshold of 2000 people4195.3 %00.0 %
1640 → 16495123.9 %total under the threshold of 2000 people4996.1 %00.0 %
1650 → 16594337.0 %total under the threshold of 2000 people4093.0 %00.0 %
1660 → 16694412.3 %total under the threshold of 2000 people4397.7 %00.0 %
1670 → 167951611.8 %total under the threshold of 2000 people4588.2 %00.0 %
1680 → 16895423.7 %total under the threshold of 2000 people5296.3 %00.0 %
1690 → 16995711.8 %total under the threshold of 2000 people5698.2 %00.0 %
1700 → 17098966.7 %total under the threshold of 2000 people8393.3 %00.0 %
1710 → 17199033.3 %total under the threshold of 2000 people8796.7 %00.0 %
1720 → 1729186105.4 %total under the threshold of 2000 people17694.6 %00.0 %
1730 → 1739372154.0 %total under the threshold of 2000 people35796.0 %00.0 %
1740 → 1749494132.6 %total under the threshold of 2000 people48197.4 %00.0 %
1750 → 1759637172.7 %total under the threshold of 2000 people62097.3 %00.0 %
1760 → 1769774273.5 %total under the threshold of 2000 people74796.5 %00.0 %
1770 → 1779938353.7 %total under the threshold of 2000 people90396.3 %00.0 %
1780 → 17891,313372.8 %total under the threshold of 2000 people1,27697.2 %00.0 %
1790 → 17991,705593.5 %total under the threshold of 2000 people1,64696.5 %00.0 %
1800 → 18092,4671004.1 %
2,36795.9 %00.0 %
1810 → 18193,3271414.2 %
3,18695.8 %00.0 %
1820 → 18293,8912055.3 %
3,68694.7 %00.0 %
1830 → 18394,1493117.5 %
3,83892.5 %00.0 %
1840 → 18494,3863768.6 %
4,00991.4 %10.0 %
1850 → 18595,2114969.5 %
4,71590.5 %00.0 %
1860 → 18696,79876011.2 %
6,03888.8 %00.0 %
1870 → 18798,2401,01712.3 %
7,22387.7 %00.0 %
1880 → 18899,3621,16812.5 %
8,19487.5 %00.0 %
1890 → 189912,0311,63613.6 %
10,39486.4 %10.0 %
1900 → 190914,2382,06514.5 %
12,17385.5 %00.0 %
1910 → 191918,0432,40513.3 %
15,63886.7 %00.0 %
1920 → 192922,7223,31514.6 %
19,40785.4 %00.0 %
1930 → 193922,6493,31914.7 %
19,32785.3 %30.0 %
1940 → 194931,1726,00419.3 %
25,16180.7 %70.0 %
1950 → 195933,2686,97321.0 %
26,28179.0 %140.0 %
1960 → 196930,1346,59221.9 %
23,52478.1 %180.1 %
1970 → 197927,0476,13622.7 %
20,89277.2 %190.1 %
1980 → 198926,0706,25324.0 %
19,79575.9 %220.1 %
1990 → 19999,2212,53327.5 %
6,67672.4 %120.1 %
2000 → 200935519655.2 %total under the threshold of 2000 people15944.8 %00.0 %
2010 → 20197571.4 %total under the threshold of 2000 people228.6 %00.0 %

Gender Gap by occupation in United States of America

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician41,5993,9429.5 %
37,65590.5 %20.0 %
Actor23,62410,24843.4 %
13,35756.5 %190.1 %
American football player23,490220.1 %
23,46899.9 %00.0 %
Lawyer20,2641,5117.5 %
18,75392.5 %00.0 %
Baseball player19,4623591.8 %
19,10398.2 %00.0 %
Television actor13,9275,93642.6 %
7,98157.3 %100.1 %
Writer11,7514,74040.3 %
7,00359.6 %80.1 %
Singer10,7084,50542.1 %
6,19057.8 %130.1 %
Journalist10,6132,60624.6 %
8,00275.4 %50.0 %
Film actor10,2334,21141.2 %
6,01458.8 %80.1 %
Basketball player9,5739399.8 %
8,63390.2 %10.0 %
Judge9,0247508.3 %
8,27491.7 %00.0 %
Composer8,2441,50518.3 %
6,73681.7 %30.0 %
University teacher7,11585112.0 %
6,26488.0 %00.0 %
Screenwriter7,0371,13616.1 %
5,89983.8 %20.0 %
Musician6,8411,08915.9 %
5,74884.0 %40.1 %
Novelist6,6722,61339.2 %
4,05760.8 %20.0 %
Stage actor5,6952,72747.9 %
2,96852.1 %00.0 %
Military officer5,5111242.3 %
5,38697.7 %10.0 %
Painter5,1031,43628.1 %
3,66771.9 %00.0 %
Songwriter5,04995919.0 %
4,08881.0 %20.0 %
Film director4,84761412.7 %
4,23087.3 %30.1 %
Jazz musician4,47050011.2 %
3,97088.8 %00.0 %
Association football player4,20957113.6 %
3,63886.4 %00.0 %
Engineer3,8261634.3 %
3,66395.7 %00.0 %
Businessperson3,7493589.5 %
3,39090.4 %10.0 %
Singer-songwriter3,7291,24233.3 %
2,48166.5 %60.2 %
Historian3,55253615.1 %
3,01684.9 %00.0 %
Voice actor3,4691,23235.5 %
2,23664.5 %10.0 %
Film producer3,40055516.3 %
2,84283.6 %30.1 %
Basketball coach3,1202498.0 %
2,87192.0 %00.0 %
Model2,9382,43883.0 %
49116.7 %90.3 %
Pianist2,80150518.0 %
2,29682.0 %00.0 %
Poet2,7261,18543.5 %
1,53956.5 %20.1 %
Record producer2,6021716.6 %
2,42993.4 %20.1 %
Athletics competitor2,51753821.4 %
1,97878.6 %10.0 %
Photographer2,47658023.4 %
1,89376.5 %30.1 %
Ice hockey player2,3261225.2 %
2,20494.8 %00.0 %
Architect2,19922010.0 %
1,97990.0 %00.0 %
Guitarist2,12723010.8 %
1,89689.1 %10.0 %
Artist2,05458428.4 %
1,46871.5 %20.1 %
Canadian football player2,04110.0 %
2,040100.0 %00.0 %