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
All1,851,918309,22416.7 %
1,542,46683.3 %2280.0 %

Gender Gap in United States of America

CountryTotalFemales% FemalesGapMales% MalesOthers% Others
United States of America299,14351,32617.2 %
247,72482.8 %930.0 %

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 → 16194512.2 %total under the threshold of 2000 people4497.8 %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 → 16495323.8 %total under the threshold of 2000 people5196.2 %00.0 %
1650 → 16594337.0 %total under the threshold of 2000 people4093.0 %00.0 %
1660 → 16694512.2 %total under the threshold of 2000 people4497.8 %00.0 %
1670 → 167952611.5 %total under the threshold of 2000 people4688.5 %00.0 %
1680 → 16895623.6 %total under the threshold of 2000 people5496.4 %00.0 %
1690 → 16995811.7 %total under the threshold of 2000 people5798.3 %00.0 %
1700 → 17098966.7 %total under the threshold of 2000 people8393.3 %00.0 %
1710 → 17199133.3 %total under the threshold of 2000 people8896.7 %00.0 %
1720 → 172918594.9 %total under the threshold of 2000 people17695.1 %00.0 %
1730 → 1739372143.8 %total under the threshold of 2000 people35896.2 %00.0 %
1740 → 1749492132.6 %total under the threshold of 2000 people47997.4 %00.0 %
1750 → 1759638172.7 %total under the threshold of 2000 people62197.3 %00.0 %
1760 → 1769773273.5 %total under the threshold of 2000 people74696.5 %00.0 %
1770 → 1779938363.8 %total under the threshold of 2000 people90296.2 %00.0 %
1780 → 17891,309352.7 %total under the threshold of 2000 people1,27497.3 %00.0 %
1790 → 17991,697573.4 %total under the threshold of 2000 people1,64096.6 %00.0 %
1800 → 18092,4621004.1 %
2,36295.9 %00.0 %
1810 → 18193,3211384.2 %
3,18395.8 %00.0 %
1820 → 18293,8712015.2 %
3,67094.8 %00.0 %
1830 → 18394,1132967.2 %
3,81792.8 %00.0 %
1840 → 18494,3503628.3 %
3,98791.7 %10.0 %
1850 → 18595,1694739.2 %
4,69690.8 %00.0 %
1860 → 18696,73474111.0 %
5,99389.0 %00.0 %
1870 → 18798,18299712.2 %
7,18587.8 %00.0 %
1880 → 18899,3031,14312.3 %
8,16087.7 %00.0 %
1890 → 189911,9561,61413.5 %
10,34186.5 %10.0 %
1900 → 190914,1162,04214.5 %
12,07485.5 %00.0 %
1910 → 191917,9192,36513.2 %
15,55486.8 %00.0 %
1920 → 192922,5033,24914.4 %
19,25485.6 %00.0 %
1930 → 193922,4783,26814.5 %
19,20785.4 %30.0 %
1940 → 194930,9685,91419.1 %
25,04880.9 %60.0 %
1950 → 195932,9576,86120.8 %
26,08279.1 %140.0 %
1960 → 196929,8636,48421.7 %
23,36178.2 %180.1 %
1970 → 197926,8116,06922.6 %
20,72477.3 %180.1 %
1980 → 198925,8126,13423.8 %
19,65776.2 %210.1 %
1990 → 19998,8272,43827.6 %
6,37872.3 %110.1 %
2000 → 200934719255.3 %total under the threshold of 2000 people15544.7 %00.0 %
2010 → 20195480.0 %total under the threshold of 2000 people120.0 %00.0 %

Gender Gap by occupation in United States of America

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician41,3863,9039.4 %
37,48190.6 %20.0 %
Actor25,14810,78742.9 %
14,34157.0 %200.1 %
American football player23,348220.1 %
23,32699.9 %00.0 %
Lawyer20,1981,5027.4 %
18,69692.6 %00.0 %
Baseball player19,4203591.8 %
19,06198.2 %00.0 %
Television actor13,8695,89642.5 %
7,96357.4 %100.1 %
Singer10,6174,48142.2 %
6,12557.7 %110.1 %
Journalist10,5212,55424.3 %
7,96275.7 %50.0 %
Writer10,3533,40632.9 %
6,93967.0 %80.1 %
Film actor10,1984,20341.2 %
5,98858.7 %70.1 %
Basketball player9,3879169.8 %
8,47090.2 %10.0 %
Judge9,0057458.3 %
8,26091.7 %00.0 %
Composer8,2051,49918.3 %
6,70381.7 %30.0 %
University teacher7,01582411.7 %
6,19188.3 %00.0 %
Screenwriter6,9931,12816.1 %
5,86383.8 %20.0 %
Musician6,7781,07615.9 %
5,69884.1 %40.1 %
Novelist6,5952,56638.9 %
4,02761.1 %20.0 %
Stage actor5,6812,71947.9 %
2,96252.1 %00.0 %
Military officer5,4831242.3 %
5,35897.7 %10.0 %
Painter5,0551,41828.1 %
3,63771.9 %00.0 %
Songwriter5,02295319.0 %
4,06781.0 %20.0 %
Film director4,81560912.6 %
4,20387.3 %30.1 %
Jazz musician4,46950311.3 %
3,96688.7 %00.0 %
Association football player4,20056413.4 %
3,63686.6 %00.0 %
Engineer3,8081634.3 %
3,64595.7 %00.0 %
Singer-songwriter3,7091,23333.2 %
2,47066.6 %60.2 %
Businessperson3,6943469.4 %
3,34790.6 %10.0 %
Historian3,52252014.8 %
3,00285.2 %00.0 %
Film producer3,33953716.1 %
2,79983.8 %30.1 %
Basketball coach3,1102498.0 %
2,86192.0 %00.0 %
Model2,9412,44883.2 %
48316.4 %100.3 %
Pianist2,78849817.9 %
2,29082.1 %00.0 %
Poet2,6761,14342.7 %
1,53157.2 %20.1 %
Record producer2,5781716.6 %
2,40593.3 %20.1 %
Photographer2,44157523.6 %
1,86376.3 %30.1 %
Athletics competitor2,41651221.2 %
1,90378.8 %10.0 %
Ice hockey player2,2531024.5 %
2,15195.5 %00.0 %
Architect2,18221810.0 %
1,96490.0 %00.0 %
Guitarist2,10722610.7 %
1,88089.2 %10.0 %
Canadian football player2,03810.0 %
2,037100.0 %00.0 %
Artist2,01456027.8 %
1,45272.1 %20.1 %