This tool provides data about gender gap on Wikidata and Wikipedia. There is a methodology explaining how these statistics are generated.


to




Gender Gap

TotalFemales% FemalesGapMales% MalesOthers% Others
All1,821,069303,18316.6 %
1,517,66283.3 %2240.0 %

Gender Gap in United States of America

CountryTotalFemales% FemalesGapMales% MalesOthers% Others
United States of America295,97550,43417.0 %
245,45682.9 %850.0 %

Gender Gap by year of birth in United States of America

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16094724.3 %total under the threshold of 2000 people4595.7 %00.0 %
1610 → 16194212.4 %total under the threshold of 2000 people4197.6 %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 → 16495423.7 %total under the threshold of 2000 people5296.3 %00.0 %
1650 → 16594237.1 %total under the threshold of 2000 people3992.9 %00.0 %
1660 → 16694312.3 %total under the threshold of 2000 people4297.7 %00.0 %
1670 → 167950612.0 %total under the threshold of 2000 people4488.0 %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 → 17098866.8 %total under the threshold of 2000 people8293.2 %00.0 %
1710 → 17199033.3 %total under the threshold of 2000 people8796.7 %00.0 %
1720 → 172918394.9 %total under the threshold of 2000 people17495.1 %00.0 %
1730 → 1739367143.8 %total under the threshold of 2000 people35396.2 %00.0 %
1740 → 1749487122.5 %total under the threshold of 2000 people47597.5 %00.0 %
1750 → 1759632172.7 %total under the threshold of 2000 people61597.3 %00.0 %
1760 → 1769767243.1 %total under the threshold of 2000 people74396.9 %00.0 %
1770 → 1779923343.7 %total under the threshold of 2000 people88996.3 %00.0 %
1780 → 17891,300342.6 %total under the threshold of 2000 people1,26697.4 %00.0 %
1790 → 17991,684563.3 %total under the threshold of 2000 people1,62896.7 %00.0 %
1800 → 18092,435953.9 %
2,34096.1 %00.0 %
1810 → 18193,2941334.0 %
3,16196.0 %00.0 %
1820 → 18293,8261894.9 %
3,63795.1 %00.0 %
1830 → 18394,0552806.9 %
3,77593.1 %00.0 %
1840 → 18494,2953417.9 %
3,95392.0 %10.0 %
1850 → 18595,1144548.9 %
4,66091.1 %00.0 %
1860 → 18696,67273411.0 %
5,93889.0 %00.0 %
1870 → 18798,10498012.1 %
7,12487.9 %00.0 %
1880 → 18899,2541,13012.2 %
8,12487.8 %00.0 %
1890 → 189911,9081,60213.5 %
10,30586.5 %10.0 %
1900 → 190913,9651,99014.2 %
11,97585.8 %00.0 %
1910 → 191917,8022,33113.1 %
15,47186.9 %00.0 %
1920 → 192922,3373,21614.4 %
19,12085.6 %10.0 %
1930 → 193922,2393,21114.4 %
19,02685.6 %20.0 %
1940 → 194930,5605,81219.0 %
24,74281.0 %60.0 %
1950 → 195932,5136,72820.7 %
25,77279.3 %130.0 %
1960 → 196929,4996,36421.6 %
23,11978.4 %160.1 %
1970 → 197926,5865,99722.6 %
20,57377.4 %160.1 %
1980 → 198925,6896,07123.6 %
19,60076.3 %180.1 %
1990 → 19998,4982,35727.7 %
6,13072.1 %110.1 %
2000 → 200932418356.5 %total under the threshold of 2000 people14143.5 %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. ▾
Actor24,97810,70942.9 %
14,24857.0 %210.1 %
American football player21,773220.1 %
21,75199.9 %00.0 %
Architect2,1512109.8 %
1,94190.2 %00.0 %
Association football player4,17656413.5 %
3,61286.5 %00.0 %
Athletics competitor2,40951021.2 %
1,89878.8 %10.0 %
Baseball player19,4053571.8 %
19,04898.2 %00.0 %
Basketball coach3,1002457.9 %
2,85592.1 %00.0 %
Basketball player9,2829079.8 %
8,37490.2 %10.0 %
Businessperson3,6223319.1 %
3,29090.8 %10.0 %
Composer8,1591,49118.3 %
6,66681.7 %20.0 %
Engineer3,7841584.2 %
3,62695.8 %00.0 %
Film actor10,1874,19141.1 %
5,98858.8 %80.1 %
Film director4,75159112.4 %
4,15787.5 %30.1 %
Film producer3,32853216.0 %
2,79484.0 %20.1 %
Guitarist2,09722610.8 %
1,87089.2 %10.0 %
Historian3,45950514.6 %
2,95485.4 %00.0 %
Ice hockey player2,2841014.4 %
2,18395.6 %00.0 %
Jazz musician4,45450111.2 %
3,95388.8 %00.0 %
Journalist10,4022,52724.3 %
7,87175.7 %40.0 %
Judge8,9627378.2 %
8,22591.8 %00.0 %
Lawyer20,0841,4877.4 %
18,59792.6 %00.0 %
Model2,9252,43583.2 %
48016.4 %100.3 %
Musician6,7281,07516.0 %
5,65084.0 %30.0 %
Novelist6,5142,52438.7 %
3,98861.2 %20.0 %
Officer5,4571202.2 %
5,33697.8 %10.0 %
Painter5,0001,39327.9 %
3,60772.1 %00.0 %
Photographer2,40956223.3 %
1,84476.5 %30.1 %
Pianist2,78349717.9 %
2,28682.1 %00.0 %
Poet2,6061,09742.1 %
1,50757.8 %20.1 %
Politician41,1473,8609.4 %
37,28690.6 %10.0 %
Record producer2,5531676.5 %
2,38493.4 %20.1 %
Screenwriter6,9031,10216.0 %
5,80084.0 %10.0 %
Singer10,5464,44242.1 %
6,09457.8 %100.1 %
Singer-songwriter3,6921,22733.2 %
2,45966.6 %60.2 %
Songwriter4,98895119.1 %
4,03580.9 %20.0 %
Stage actor5,6552,69847.7 %
2,95752.3 %00.0 %
Television actor13,8225,86642.4 %
7,94657.5 %100.1 %
University teacher6,98081011.6 %
6,17088.4 %00.0 %
Writer10,1823,29232.3 %
6,88267.6 %80.1 %