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
All1,874,236314,36616.8 %
1,559,63183.2 %2390.0 %

Gender Gap in United States of America

CountryTotalFemales% FemalesGapMales% MalesOthers% Others
United States of America300,70651,82717.2 %
248,78482.7 %950.0 %

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 → 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 → 1739372154.0 %total under the threshold of 2000 people35796.0 %00.0 %
1740 → 1749493132.6 %total under the threshold of 2000 people48097.4 %00.0 %
1750 → 1759636172.7 %total under the threshold of 2000 people61997.3 %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 → 17991,706593.5 %total under the threshold of 2000 people1,64796.5 %00.0 %
1800 → 18092,4661004.1 %
2,36695.9 %00.0 %
1810 → 18193,3271404.2 %
3,18795.8 %00.0 %
1820 → 18293,8892055.3 %
3,68494.7 %00.0 %
1830 → 18394,1403067.4 %
3,83492.6 %00.0 %
1840 → 18494,3733708.5 %
4,00291.5 %10.0 %
1850 → 18595,2004889.4 %
4,71290.6 %00.0 %
1860 → 18696,78075511.1 %
6,02588.9 %00.0 %
1870 → 18798,2171,00812.3 %
7,20987.7 %00.0 %
1880 → 18899,3361,15912.4 %
8,17787.6 %00.0 %
1890 → 189911,9971,62913.6 %
10,36786.4 %10.0 %
1900 → 190914,1562,04914.5 %
12,10785.5 %00.0 %
1910 → 191917,9782,38713.3 %
15,59186.7 %00.0 %
1920 → 192922,6253,28114.5 %
19,34485.5 %00.0 %
1930 → 193922,5823,29514.6 %
19,28485.4 %30.0 %
1940 → 194931,0745,95819.2 %
25,11080.8 %60.0 %
1950 → 195933,1016,90320.9 %
26,18479.1 %140.0 %
1960 → 196930,0166,54421.8 %
23,45478.1 %180.1 %
1970 → 197926,9576,09822.6 %
20,84077.3 %190.1 %
1980 → 198925,9826,20823.9 %
19,75276.0 %220.1 %
1990 → 19999,0662,50027.6 %
6,55572.3 %110.1 %
2000 → 200935119455.3 %total under the threshold of 2000 people15744.7 %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. ▾
Politician41,5573,9339.5 %
37,62290.5 %20.0 %
Actor25,24710,84543.0 %
14,38257.0 %200.1 %
American football player23,444220.1 %
23,42299.9 %00.0 %
Lawyer20,2451,5097.5 %
18,73692.5 %00.0 %
Baseball player19,4573591.8 %
19,09898.2 %00.0 %
Television actor13,9295,93642.6 %
7,98257.3 %110.1 %
Writer11,1704,18237.4 %
6,98062.5 %80.1 %
Singer10,6744,49042.1 %
6,17357.8 %110.1 %
Journalist10,5882,59124.5 %
7,99275.5 %50.0 %
Film actor10,2374,21341.2 %
6,01658.8 %80.1 %
Basketball player9,5389359.8 %
8,60290.2 %10.0 %
Judge9,0227498.3 %
8,27391.7 %00.0 %
Composer8,2241,49818.2 %
6,72381.7 %30.0 %
University teacher7,09584211.9 %
6,25388.1 %00.0 %
Screenwriter7,0201,13116.1 %
5,88783.9 %20.0 %
Musician6,8221,08715.9 %
5,73184.0 %40.1 %
Novelist6,6132,57839.0 %
4,03361.0 %20.0 %
Stage actor5,6992,73047.9 %
2,96952.1 %00.0 %
Military officer5,5061242.3 %
5,38197.7 %10.0 %
Painter5,0921,43228.1 %
3,66071.9 %00.0 %
Songwriter5,04295418.9 %
4,08681.0 %20.0 %
Film director4,83261212.7 %
4,21787.3 %30.1 %
Jazz musician4,46650111.2 %
3,96588.8 %00.0 %
Association football player4,20656813.5 %
3,63886.5 %00.0 %
Engineer3,8201634.3 %
3,65795.7 %00.0 %
Singer-songwriter3,7271,23833.2 %
2,48366.6 %60.2 %
Businessperson3,7233529.5 %
3,37090.5 %10.0 %
Historian3,54753615.1 %
3,01184.9 %00.0 %
Voice actor3,4651,23035.5 %
2,23464.5 %10.0 %
Film producer3,37354616.2 %
2,82483.7 %30.1 %
Basketball coach3,1122477.9 %
2,86592.1 %00.0 %
Model2,9572,45983.2 %
48816.5 %100.3 %
Pianist2,79250017.9 %
2,29282.1 %00.0 %
Poet2,6961,15642.9 %
1,53857.0 %20.1 %
Record producer2,5881706.6 %
2,41693.4 %20.1 %
Photographer2,46757923.5 %
1,88576.4 %30.1 %
Athletics competitor2,40750721.1 %
1,89978.9 %10.0 %
Ice hockey player2,3221225.3 %
2,20094.7 %00.0 %
Architect2,19521910.0 %
1,97690.0 %00.0 %
Guitarist2,12123010.8 %
1,89089.1 %10.0 %
Artist2,04357828.3 %
1,46371.6 %20.1 %
Canadian football player2,04010.0 %
2,039100.0 %00.0 %