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
All1,810,415301,59516.7 %
1,508,61983.3 %2010.0 %

Gender Gap by year of birth

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16091,585865.4 %total under the threshold of 2000 people1,49994.6 %00.0 %
1610 → 16191,659965.8 %total under the threshold of 2000 people1,56394.2 %00.0 %
1620 → 16291,786905.0 %total under the threshold of 2000 people1,69695.0 %00.0 %
1630 → 16391,6141006.2 %total under the threshold of 2000 people1,51393.7 %10.1 %
1640 → 16491,7471126.4 %total under the threshold of 2000 people1,63593.6 %00.0 %
1650 → 16591,7421025.9 %total under the threshold of 2000 people1,64094.1 %00.0 %
1660 → 16691,7501227.0 %total under the threshold of 2000 people1,62893.0 %00.0 %
1670 → 16791,6661046.2 %total under the threshold of 2000 people1,56293.8 %00.0 %
1680 → 16891,907944.9 %total under the threshold of 2000 people1,81295.0 %10.1 %
1690 → 16991,9451035.3 %total under the threshold of 2000 people1,84294.7 %00.0 %
1700 → 17092,2811355.9 %
2,14694.1 %00.0 %
1710 → 17192,6351535.8 %
2,48294.2 %00.0 %
1720 → 17293,2931765.3 %
3,11694.6 %10.0 %
1730 → 17394,1432185.3 %
3,92594.7 %00.0 %
1740 → 17495,4072654.9 %
5,14295.1 %00.0 %
1750 → 17597,5453454.6 %
7,20095.4 %00.0 %
1760 → 17698,0364165.2 %
7,62094.8 %00.0 %
1770 → 17798,6644545.2 %
8,21094.8 %00.0 %
1780 → 17899,2164825.2 %
8,73494.8 %00.0 %
1790 → 179911,6345374.6 %
11,09595.4 %20.0 %
1800 → 180915,6907114.5 %
14,97995.5 %00.0 %
1810 → 181918,8598904.7 %
17,96995.3 %00.0 %
1820 → 182920,5691,0495.1 %
19,52094.9 %00.0 %
1830 → 183922,3881,2845.7 %
21,10394.3 %10.0 %
1840 → 184925,7931,6726.5 %
24,11993.5 %20.0 %
1850 → 185930,3272,2107.3 %
28,11692.7 %10.0 %
1860 → 186938,1343,1438.2 %
34,99191.8 %00.0 %
1870 → 187947,4224,1738.8 %
43,24891.2 %10.0 %
1880 → 188960,5465,1018.4 %
55,44291.6 %30.0 %
1890 → 189970,1846,8829.8 %
63,30090.2 %20.0 %
1900 → 190985,2509,45211.1 %
75,79888.9 %00.0 %
1910 → 191992,67811,05211.9 %
81,62388.1 %30.0 %
1920 → 1929118,01214,93912.7 %
103,06787.3 %60.0 %
1930 → 1939122,44716,57013.5 %
105,87386.5 %40.0 %
1940 → 1949163,49227,28216.7 %
136,19383.3 %170.0 %
1950 → 1959173,47433,53119.3 %
139,91680.7 %270.0 %
1960 → 1969173,75739,00322.4 %
134,72477.5 %300.0 %
1970 → 1979172,63344,03825.5 %
128,56274.5 %330.0 %
1980 → 1989185,92149,11426.4 %
136,76073.6 %470.0 %
1990 → 199990,82124,26726.7 %
66,53673.3 %180.0 %
2000 → 20091,7261,02259.2 %total under the threshold of 2000 people70340.7 %10.1 %
2010 → 2019372054.1 %total under the threshold of 2000 people1745.9 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America295,51650,30217.0 %
245,12982.9 %850.0 %
Germany184,33626,89314.6 %
157,43985.4 %40.0 %
France122,80615,88912.9 %
106,90887.1 %90.0 %
United Kingdom113,97715,09613.2 %
98,86986.7 %120.0 %
Japan74,98419,97126.6 %
55,00973.4 %40.0 %
Italy66,5489,79514.7 %
56,75185.3 %20.0 %
Spain56,9668,42114.8 %
48,53585.2 %100.0 %
Sweden50,96611,62622.8 %
39,33977.2 %10.0 %
Canada46,6748,04817.2 %
38,62382.8 %30.0 %
Kingdom of the Netherlands39,7807,93619.9 %
31,84280.0 %20.0 %
Norway38,6958,16621.1 %
30,52978.9 %00.0 %
Poland36,7306,54317.8 %
30,18682.2 %10.0 %
Australia32,7856,39619.5 %
26,38680.5 %30.0 %
Austria31,2745,26116.8 %
26,01383.2 %00.0 %
Brazil30,8214,94016.0 %
25,87684.0 %50.0 %
Finland30,0655,83919.4 %
24,22680.6 %00.0 %
Belgium25,7143,67814.3 %
22,03485.7 %20.0 %
Russia25,7135,05819.7 %
20,65580.3 %00.0 %
Denmark23,6114,43418.8 %
19,17681.2 %10.0 %
Soviet Union23,1862,0068.7 %
21,17991.3 %10.0 %
Switzerland22,6213,42615.1 %
19,19384.8 %20.0 %
India21,6803,96118.3 %
17,71581.7 %40.0 %
Argentina19,7652,87614.6 %
16,88785.4 %20.0 %
Mexico15,7383,04919.4 %
12,68480.6 %50.0 %
Hungary15,6762,72017.4 %
12,95282.6 %40.0 %
Turkey12,9642,17816.8 %
10,78183.2 %50.0 %
New Zealand12,6022,54220.2 %
10,05779.8 %30.0 %
Czech Republic12,5052,09016.7 %
10,41583.3 %00.0 %
Romania11,3011,94817.2 %
9,35082.7 %30.0 %
People's Republic of China11,0423,54432.1 %
7,49667.9 %20.0 %
Greece10,8721,45613.4 %
9,41486.6 %20.0 %
Kingdom of Italy10,7294904.6 %
10,23995.4 %00.0 %
Ireland9,8581,25012.7 %
8,60787.3 %10.0 %
South Korea9,7302,90029.8 %
6,82970.2 %10.0 %
Portugal9,2241,17912.8 %
8,04587.2 %00.0 %
South Africa8,9531,37815.4 %
7,57584.6 %00.0 %
Iran8,17797812.0 %
7,19988.0 %00.0 %
Ukraine8,1631,51118.5 %
6,65181.5 %10.0 %
Russian Empire7,9356307.9 %
7,30592.1 %00.0 %
Israel7,6841,53320.0 %
6,14980.0 %20.0 %
Slovenia7,6451,66321.8 %
5,98178.2 %10.0 %
Chile7,5661,07314.2 %
6,49285.8 %10.0 %
Bulgaria7,0751,26417.9 %
5,81182.1 %00.0 %
Lithuania7,0361,56522.2 %
5,47177.8 %00.0 %
Czechoslovakia6,39691814.4 %
5,47885.6 %00.0 %
Colombia5,65391516.2 %
4,73783.8 %10.0 %
Serbia5,36997418.1 %
4,39581.9 %00.0 %
Latvia4,77576916.1 %
4,00683.9 %00.0 %
Indonesia4,7211,31927.9 %
3,40272.1 %00.0 %
Uruguay4,57947310.3 %
4,10489.6 %20.0 %
Philippines4,3481,08825.0 %
3,25874.9 %20.0 %
Peru4,17463815.3 %
3,53684.7 %00.0 %
Nigeria4,07164015.7 %
3,43184.3 %00.0 %
Slovakia3,94469017.5 %
3,25482.5 %00.0 %
Venezuela3,74679321.2 %
2,95378.8 %00.0 %
Belarus3,60276521.2 %
2,83778.8 %00.0 %
Estonia3,52973420.8 %
2,79579.2 %00.0 %
Cuba3,48870320.2 %
2,78479.8 %10.0 %
Egypt3,43383324.3 %
2,59975.7 %10.0 %
Croatia3,39657116.8 %
2,82583.2 %00.0 %
Netherlands3,2691785.4 %
3,09194.6 %00.0 %
Pakistan3,17139812.6 %
2,77387.4 %00.0 %
German Empire2,7461174.3 %
2,62995.7 %00.0 %
Thailand2,57557222.2 %
2,00077.7 %30.1 %
United Kingdom of Great Britain and Ireland2,5471124.4 %
2,43595.6 %00.0 %
Malaysia2,51647819.0 %
2,03781.0 %10.0 %
Luxembourg2,51229611.8 %
2,21688.2 %00.0 %
Algeria2,39728812.0 %
2,10988.0 %00.0 %
Tunisia2,31034615.0 %
1,96485.0 %00.0 %
Albania2,16325811.9 %
1,90588.1 %00.0 %
Iceland2,15548522.5 %
1,67077.5 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician244,78225,60510.5 %
219,16889.5 %90.0 %
Association football player177,0327,1614.0 %
169,86896.0 %30.0 %
Actor120,75052,22343.2 %
68,47456.7 %530.0 %
Writer99,74822,32522.4 %
77,40377.6 %200.0 %
Journalist64,16012,30119.2 %
51,85180.8 %80.0 %
University teacher62,6605,0728.1 %
57,58891.9 %00.0 %
Painter51,7438,20015.8 %
43,53984.1 %40.0 %
Singer47,12121,65346.0 %
25,44554.0 %230.0 %
Lawyer41,8113,1817.6 %
38,62792.4 %30.0 %
Composer40,1624,39210.9 %
35,76689.1 %40.0 %
Film actor35,02014,48441.4 %
20,52158.6 %150.0 %
Baseball player27,5613791.4 %
27,18298.6 %00.0 %
Poet25,5265,18220.3 %
20,33979.7 %50.0 %
Screenwriter24,4183,66315.0 %
20,75285.0 %30.0 %
Ice hockey player22,4286883.1 %
21,74096.9 %00.0 %
Film director22,3842,73012.2 %
19,65087.8 %40.0 %
American football player22,089450.2 %
22,04499.8 %00.0 %
Historian21,8812,0109.2 %
19,87190.8 %00.0 %
Athletics competitor21,5627,03132.6 %
14,52867.4 %30.0 %
Musician21,2622,56212.0 %
18,69687.9 %40.0 %
Basketball player20,9183,66717.5 %
17,24982.5 %20.0 %
Architect19,7991,2486.3 %
18,55193.7 %00.0 %
Association football manager19,7882511.3 %
19,53798.7 %00.0 %
Judge19,7521,4137.2 %
18,33992.8 %00.0 %
Cricketer19,1397473.9 %
18,39296.1 %00.0 %
Stage actor18,6067,65341.1 %
10,95158.9 %20.0 %
Author18,3884,01021.8 %
14,37778.2 %10.0 %
Sport cyclist17,2002,16312.6 %
15,03487.4 %30.0 %
Television actor17,1587,46943.5 %
9,67656.4 %130.1 %
Diplomat16,5277974.8 %
15,72995.2 %10.0 %
Military personnel15,141710.5 %
15,06999.5 %10.0 %
Officer14,8831551.0 %
14,72799.0 %10.0 %
Engineer14,3693802.6 %
13,98997.4 %00.0 %
Businessperson14,2601,0337.2 %
13,22692.7 %10.0 %
Physician13,6061,2419.1 %
12,36390.9 %20.0 %
Novelist13,3775,05737.8 %
8,31862.2 %20.0 %
Sculptor13,3711,81413.6 %
11,55786.4 %00.0 %
Economist12,6759727.7 %
11,70392.3 %00.0 %
Model12,29510,26883.5 %
2,01116.4 %160.1 %
Catholic priest12,25720.0 %
12,255100.0 %00.0 %
Songwriter12,1732,54820.9 %
9,62179.0 %40.0 %
Pianist11,7542,43620.7 %
9,31879.3 %00.0 %
Photographer11,2842,03918.1 %
9,24181.9 %40.0 %
Rugby union player11,0773523.2 %
10,72596.8 %00.0 %
Jurist11,0215485.0 %
10,47295.0 %10.0 %
Conductor10,4123383.2 %
10,07496.8 %00.0 %
Translator10,1762,37123.3 %
7,80476.7 %10.0 %
Television presenter9,2133,80741.3 %
5,40458.7 %20.0 %
Swimmer8,9983,94743.9 %
5,05156.1 %00.0 %
Theologian8,9892833.1 %
8,70696.9 %00.0 %
Artist8,7712,32626.5 %
6,44173.4 %40.0 %
Mathematician8,7595746.6 %
8,18593.4 %00.0 %
Film producer8,6561,22514.2 %
7,42985.8 %20.0 %
Boxer8,3244745.7 %
7,84994.3 %10.0 %
Entrepreneur8,1584375.4 %
7,72094.6 %10.0 %
Teacher7,9991,72721.6 %
6,27178.4 %10.0 %
Volleyball player7,9944,09751.3 %
3,89748.7 %00.0 %
Singer-songwriter7,6852,35230.6 %
5,32769.3 %60.1 %
Philosopher7,5225717.6 %
6,95092.4 %10.0 %
Physicist7,3913334.5 %
7,05795.5 %10.0 %
Jazz musician7,31894212.9 %
6,37687.1 %00.0 %
Botanist7,01287012.4 %
6,14287.6 %00.0 %
Playwright7,01199514.2 %
6,01585.8 %10.0 %
Guitarist6,8555558.1 %
6,29991.9 %10.0 %
Priest6,8101291.9 %
6,68198.1 %00.0 %
Chemist6,7834536.7 %
6,33093.3 %00.0 %
Record producer6,5483455.3 %
6,20194.7 %20.0 %
Rower6,2221,54624.8 %
4,67675.2 %00.0 %
Tennis player6,1772,54441.2 %
3,63258.8 %10.0 %
Opera singer5,8392,91349.9 %
2,92550.1 %10.0 %
Music educator5,6801,33623.5 %
4,34476.5 %00.0 %
Handball player5,6482,09437.1 %
3,55462.9 %00.0 %
Linguist5,58965411.7 %
4,93588.3 %00.0 %
Children's writer5,3672,66649.7 %
2,70050.3 %10.0 %
Literary critic5,31268913.0 %
4,62387.0 %00.0 %
Professor5,06296919.1 %
4,09180.8 %20.0 %
Trade unionist5,02565213.0 %
4,37387.0 %00.0 %
Archaeologist4,90058812.0 %
4,31288.0 %00.0 %
Musicologist4,6723798.1 %
4,29391.9 %00.0 %
Educator4,64161013.1 %
4,03186.9 %00.0 %
Amateur wrestler4,6164289.3 %
4,18890.7 %00.0 %
Illustrator4,5961,09023.7 %
3,50676.3 %00.0 %
Banker4,5851232.7 %
4,46197.3 %10.0 %
Radio personality4,55783718.4 %
3,71981.6 %10.0 %
Art historian4,54480817.8 %
3,73682.2 %00.0 %
Badminton player4,3142,04847.5 %
2,26652.5 %00.0 %
Voice actor4,3081,56536.3 %
2,74263.6 %10.0 %
Farmer4,2931563.6 %
4,13796.4 %00.0 %
Psychologist4,28799023.1 %
3,29576.9 %20.0 %
Rugby league player4,26140.1 %
4,25799.9 %00.0 %
Seiyū4,2012,29454.6 %
1,90745.4 %00.0 %
Sportsperson4,18395422.8 %
3,22977.2 %00.0 %
Basketball coach4,1692806.7 %
3,88993.3 %00.0 %
Anthropologist4,09166416.2 %
3,42783.8 %00.0 %
Fencer4,07399024.3 %
3,08375.7 %00.0 %
Chess player4,05369317.1 %
3,35982.9 %10.0 %
Sociologist4,02564816.1 %
3,37683.9 %10.0 %
Non-fiction writer3,79250313.3 %
3,28986.7 %00.0 %
Publisher3,7652576.8 %
3,50893.2 %00.0 %
Racecar driver3,6451373.8 %
3,50796.2 %10.0 %
Science fiction writer3,47959417.1 %
2,88582.9 %00.0 %
Golfer3,38766319.6 %
2,72480.4 %00.0 %
Comics artist3,2132568.0 %
2,95792.0 %00.0 %
Computer scientist3,1892527.9 %
2,93692.1 %10.0 %
Astronomer3,0792397.8 %
2,83992.2 %10.0 %
Librarian2,99352117.4 %
2,47282.6 %00.0 %
Figure skater2,9871,62654.4 %
1,36145.6 %00.0 %
Editor2,95737512.7 %
2,58287.3 %00.0 %
Canoer2,94562321.2 %
2,32278.8 %00.0 %
Surgeon2,9261083.7 %
2,81696.2 %20.1 %
Sprinter2,8511,12939.6 %
1,72060.3 %20.1 %
Alpine skier2,8361,14640.4 %
1,69059.6 %00.0 %
Professional wrestler2,83656119.8 %
2,27580.2 %00.0 %
Choreographer2,8231,12840.0 %
1,69259.9 %30.1 %
Field hockey player2,7941,01536.3 %
1,77963.7 %00.0 %
Cinematographer2,7881284.6 %
2,66095.4 %00.0 %
Judoka2,68190433.7 %
1,77766.3 %00.0 %
Zoologist2,6762057.7 %
2,47192.3 %00.0 %
Explorer2,6491194.5 %
2,53095.5 %00.0 %
Australian rules footballer2,584130.5 %
2,57199.5 %00.0 %
Director2,55244417.4 %
2,10782.6 %10.0 %
Theatre director2,54336714.4 %
2,17685.6 %00.0 %
Biathlete2,53198639.0 %
1,54561.0 %00.0 %
Artistic gymnast2,5221,16146.0 %
1,36154.0 %00.0 %
Saxophonist2,4711265.1 %
2,34594.9 %00.0 %
Biographer2,44556323.0 %
1,88277.0 %00.0 %
Geologist2,4391094.5 %
2,33095.5 %00.0 %
Tarento2,4371,81674.5 %
61925.4 %20.1 %
Dancer2,4311,52562.7 %
90237.1 %40.2 %
Sport shooter2,42549720.5 %
1,92879.5 %00.0 %
Biologist2,41638716.0 %
2,02984.0 %00.0 %
Pornographic actor2,3771,87879.0 %
48020.2 %190.8 %
Announcer2,3621,21451.4 %
1,14848.6 %00.0 %
Comedian2,32748020.6 %
1,84479.2 %30.1 %
Soldier2,326311.3 %
2,29498.6 %10.0 %
Psychiatrist2,28824610.8 %
2,04289.2 %00.0 %
Entomologist2,213773.5 %
2,13696.5 %00.0 %
Aviator2,1992159.8 %
1,98490.2 %00.0 %
Essayist2,19358126.5 %
1,61273.5 %00.0 %
Mangaka2,17370532.4 %
1,46867.6 %00.0 %
Association football referee2,1661034.8 %
2,06395.2 %00.0 %
Beauty pageant contestant2,1542,12198.5 %
331.5 %00.0 %
Political scientist2,1292019.4 %
1,92890.6 %00.0 %
Motorcycle racer2,063412.0 %
2,02298.0 %00.0 %
Disc jockey2,0621668.1 %
1,89591.9 %10.0 %
Rapper2,0301748.6 %
1,85591.4 %10.0 %
Racing driver2,005623.1 %
1,94396.9 %00.0 %
Organist2,0031266.3 %
1,87793.7 %00.0 %