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
All1,799,834299,42216.6 %
1,500,22883.4 %1840.0 %

Gender Gap by year of birth

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16091,575865.5 %total under the threshold of 2000 people1,48994.5 %00.0 %
1610 → 16191,652975.9 %total under the threshold of 2000 people1,55594.1 %00.0 %
1620 → 16291,776895.0 %total under the threshold of 2000 people1,68795.0 %00.0 %
1630 → 16391,6091016.3 %total under the threshold of 2000 people1,50893.7 %00.0 %
1640 → 16491,7411106.3 %total under the threshold of 2000 people1,63193.7 %00.0 %
1650 → 16591,7281015.8 %total under the threshold of 2000 people1,62794.2 %00.0 %
1660 → 16691,7401237.1 %total under the threshold of 2000 people1,61792.9 %00.0 %
1670 → 16791,6571046.3 %total under the threshold of 2000 people1,55393.7 %00.0 %
1680 → 16891,897945.0 %total under the threshold of 2000 people1,80295.0 %10.1 %
1690 → 16991,9321045.4 %total under the threshold of 2000 people1,82894.6 %00.0 %
1700 → 17092,2641356.0 %
2,12994.0 %00.0 %
1710 → 17192,6141525.8 %
2,46294.2 %00.0 %
1720 → 17293,2761745.3 %
3,10194.7 %10.0 %
1730 → 17394,1102165.3 %
3,89494.7 %00.0 %
1740 → 17495,3692634.9 %
5,10695.1 %00.0 %
1750 → 17597,4813414.6 %
7,14095.4 %00.0 %
1760 → 17697,9904135.2 %
7,57794.8 %00.0 %
1770 → 17798,6324515.2 %
8,18194.8 %00.0 %
1780 → 17899,1714785.2 %
8,69394.8 %00.0 %
1790 → 179911,5765334.6 %
11,04195.4 %20.0 %
1800 → 180915,6297054.5 %
14,92495.5 %00.0 %
1810 → 181918,7788784.7 %
17,90095.3 %00.0 %
1820 → 182920,4481,0355.1 %
19,41394.9 %00.0 %
1830 → 183922,2371,2595.7 %
20,97794.3 %10.0 %
1840 → 184925,6391,6606.5 %
23,97793.5 %20.0 %
1850 → 185930,1342,1707.2 %
27,96392.8 %10.0 %
1860 → 186937,8983,1128.2 %
34,78691.8 %00.0 %
1870 → 187947,1814,1318.8 %
43,05091.2 %00.0 %
1880 → 188960,2115,0448.4 %
55,16491.6 %30.0 %
1890 → 189969,6406,7929.8 %
62,84690.2 %20.0 %
1900 → 190984,5649,36011.1 %
75,20388.9 %10.0 %
1910 → 191991,92710,95111.9 %
80,97588.1 %10.0 %
1920 → 1929117,17414,80412.6 %
102,36687.4 %40.0 %
1930 → 1939121,78916,46213.5 %
105,32386.5 %40.0 %
1940 → 1949162,65227,09816.7 %
135,53983.3 %150.0 %
1950 → 1959172,65433,37419.3 %
139,25580.7 %250.0 %
1960 → 1969172,91838,77422.4 %
134,11477.6 %300.0 %
1970 → 1979171,88543,80325.5 %
128,05074.5 %320.0 %
1980 → 1989185,20648,86226.4 %
136,30073.6 %440.0 %
1990 → 199989,70623,94426.7 %
65,74773.3 %150.0 %
2000 → 20091,7161,01459.1 %total under the threshold of 2000 people70240.9 %00.0 %
2010 → 2019582543.1 %total under the threshold of 2000 people3356.9 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America294,55150,00517.0 %
244,46483.0 %820.0 %
Germany184,08426,84914.6 %
157,23185.4 %40.0 %
France122,29815,79712.9 %
106,49387.1 %80.0 %
United Kingdom113,41614,99313.2 %
98,41386.8 %100.0 %
Italy65,9909,71014.7 %
56,27885.3 %20.0 %
Japan74,28119,79126.6 %
54,48673.4 %40.0 %
Spain56,3318,30114.7 %
48,02285.2 %80.0 %
Sweden50,66611,56222.8 %
39,10377.2 %10.0 %
Canada46,5307,99617.2 %
38,53282.8 %20.0 %
Kingdom of the Netherlands39,6097,90720.0 %
31,70080.0 %20.0 %
Norway38,3808,08921.1 %
30,29178.9 %00.0 %
Poland36,4826,49517.8 %
29,98682.2 %10.0 %
Australia32,7016,36519.5 %
26,33380.5 %30.0 %
Austria30,9735,20916.8 %
25,76483.2 %00.0 %
Brazil30,6774,91916.0 %
25,75383.9 %50.0 %
Finland29,8345,79319.4 %
24,04180.6 %00.0 %
Belgium25,5643,65314.3 %
21,90985.7 %20.0 %
Soviet Union23,0401,9778.6 %
21,06391.4 %00.0 %
Russia25,6025,04119.7 %
20,56180.3 %00.0 %
Denmark23,5334,41318.8 %
19,11981.2 %10.0 %
Switzerland22,3843,37315.1 %
19,00984.9 %20.0 %
India21,5083,93218.3 %
17,57281.7 %40.0 %
Argentina19,7212,86814.5 %
16,85185.4 %20.0 %
Hungary15,5212,68517.3 %
12,83282.7 %40.0 %
Mexico15,6803,03119.3 %
12,64380.6 %60.0 %
Turkey12,7822,16416.9 %
10,61483.0 %40.0 %
Czech Republic12,3222,04716.6 %
10,27583.4 %00.0 %
Kingdom of Italy10,7294924.6 %
10,23795.4 %00.0 %
New Zealand12,5732,53920.2 %
10,03179.8 %30.0 %
Greece10,7941,45213.5 %
9,34086.5 %20.0 %
Romania11,1821,93517.3 %
9,24682.7 %10.0 %
Ireland9,8321,24412.7 %
8,58787.3 %10.0 %
Portugal9,1541,17412.8 %
7,98087.2 %00.0 %
South Africa8,9311,36915.3 %
7,56284.7 %00.0 %
People's Republic of China10,9093,52632.3 %
7,38267.7 %10.0 %
Russian Empire7,8046258.0 %
7,17992.0 %00.0 %
Iran8,13797111.9 %
7,16688.1 %00.0 %
South Korea9,6332,88129.9 %
6,75170.1 %10.0 %
Ukraine8,0341,48718.5 %
6,54681.5 %10.0 %
Chile7,5211,06814.2 %
6,45285.8 %10.0 %
Israel7,6141,51319.9 %
6,09980.1 %20.0 %
Slovenia7,6381,65121.6 %
5,98678.4 %10.0 %
Bulgaria6,9241,23917.9 %
5,68582.1 %00.0 %
Lithuania7,0321,56622.3 %
5,46677.7 %00.0 %
Czechoslovakia6,34391414.4 %
5,42985.6 %00.0 %
Colombia5,60490716.2 %
4,69683.8 %10.0 %
Serbia5,34596918.1 %
4,37681.9 %00.0 %
Uruguay4,55147110.3 %
4,07889.6 %20.0 %
Latvia4,76576616.1 %
3,99983.9 %00.0 %
Peru4,15763315.2 %
3,52484.8 %00.0 %
Nigeria4,04063715.8 %
3,40384.2 %00.0 %
Indonesia4,6781,31528.1 %
3,36371.9 %00.0 %
Philippines4,3381,08325.0 %
3,25375.0 %20.0 %
Slovakia3,88268017.5 %
3,20282.5 %00.0 %
Netherlands3,2751805.5 %
3,09594.5 %00.0 %
Venezuela3,71378321.1 %
2,93078.9 %00.0 %
Belarus3,58176721.4 %
2,81478.6 %00.0 %
Croatia3,36356716.9 %
2,79683.1 %00.0 %
Cuba3,47269720.1 %
2,77479.9 %10.0 %
Estonia3,48972620.8 %
2,76379.2 %00.0 %
Pakistan3,12139412.6 %
2,72787.4 %00.0 %
German Empire2,7351174.3 %
2,61895.7 %00.0 %
Egypt3,36080724.0 %
2,55376.0 %00.0 %
United Kingdom of Great Britain and Ireland2,4931074.3 %
2,38695.7 %00.0 %
Luxembourg2,50829511.8 %
2,21388.2 %00.0 %
Algeria2,37526911.3 %
2,10688.7 %00.0 %
Malaysia2,50547218.8 %
2,03281.1 %10.0 %
Thailand2,55457122.4 %
1,98077.5 %30.1 %
Tunisia2,27633914.9 %
1,93785.1 %00.0 %
Albania2,12824211.4 %
1,88688.6 %00.0 %
Iceland2,14848122.4 %
1,66777.6 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician243,48625,50010.5 %
217,97789.5 %90.0 %
Association football player176,4947,1364.0 %
169,35896.0 %00.0 %
Writer98,75422,09222.4 %
76,64277.6 %200.0 %
Actor120,23051,99643.2 %
68,18456.7 %500.0 %
University teacher62,2164,9918.0 %
57,22592.0 %00.0 %
Journalist63,76212,20819.1 %
51,54680.8 %80.0 %
Painter51,3288,11915.8 %
43,20584.2 %40.0 %
Lawyer41,5933,1577.6 %
38,43392.4 %30.0 %
Composer39,9064,37011.0 %
35,53289.0 %40.0 %
Baseball player27,5403801.4 %
27,16098.6 %00.0 %
Singer46,88121,53945.9 %
25,32154.0 %210.0 %
American football player22,073460.2 %
22,02799.8 %00.0 %
Ice hockey player22,4176893.1 %
21,72896.9 %00.0 %
Screenwriter24,3163,63514.9 %
20,67885.0 %30.0 %
Film actor35,00414,48141.4 %
20,50858.6 %150.0 %
Poet25,2345,11020.3 %
20,12079.7 %40.0 %
Historian21,6371,9779.1 %
19,66090.9 %00.0 %
Film director22,2502,70212.1 %
19,54487.8 %40.0 %
Association football manager19,7232501.3 %
19,47398.7 %00.0 %
Architect19,6971,2306.2 %
18,46793.8 %00.0 %
Musician20,9252,51312.0 %
18,40788.0 %50.0 %
Cricketer19,1077453.9 %
18,36296.1 %00.0 %
Judge19,6831,4077.1 %
18,27692.9 %00.0 %
Basketball player20,7393,63517.5 %
17,10382.5 %10.0 %
Diplomat16,4207864.8 %
15,63395.2 %10.0 %
Military personnel15,052710.5 %
14,98099.5 %10.0 %
Sport cyclist17,0852,15912.6 %
14,92587.4 %10.0 %
Officer14,7241541.0 %
14,56998.9 %10.0 %
Athletics competitor21,3356,96232.6 %
14,37067.4 %30.0 %
Author18,3613,99921.8 %
14,36178.2 %10.0 %
Engineer14,2673762.6 %
13,89197.4 %00.0 %
Businessperson14,1231,0217.2 %
13,10192.8 %10.0 %
Catholic priest12,18320.0 %
12,181100.0 %00.0 %
Physician13,4001,2259.1 %
12,17390.8 %20.0 %
Economist12,6099587.6 %
11,65192.4 %00.0 %
Sculptor13,3061,80113.5 %
11,50586.5 %00.0 %
Stage actor18,5917,64541.1 %
10,94458.9 %20.0 %
Rugby union player11,0703523.2 %
10,71896.8 %00.0 %
Jurist10,9255415.0 %
10,38495.0 %00.0 %
Conductor10,3693333.2 %
10,03696.8 %00.0 %
Television actor17,1597,47643.6 %
9,67056.4 %130.1 %
Songwriter12,1222,53720.9 %
9,58179.0 %40.0 %
Pianist11,7142,42520.7 %
9,28979.3 %00.0 %
Photographer11,0141,98718.0 %
9,02381.9 %40.0 %
Theologian8,9412813.1 %
8,66096.9 %00.0 %
Novelist13,2505,02637.9 %
8,22262.1 %20.0 %
Mathematician8,6955706.6 %
8,12593.4 %00.0 %
Boxer8,3174735.7 %
7,84394.3 %10.0 %
Translator10,0422,33223.2 %
7,70976.8 %10.0 %
Entrepreneur8,1054305.3 %
7,67494.7 %10.0 %
Film producer8,5921,20914.1 %
7,38185.9 %20.0 %
Physicist7,3353254.4 %
7,00995.6 %10.0 %
Philosopher7,4735687.6 %
6,90492.4 %10.0 %
Priest6,7331271.9 %
6,60698.1 %00.0 %
Jazz musician7,31594112.9 %
6,37487.1 %00.0 %
Artist8,6312,26526.2 %
6,36273.7 %40.0 %
Guitarist6,8395548.1 %
6,28491.9 %10.0 %
Record producer6,5033415.2 %
6,16094.7 %20.0 %
Teacher7,7591,65121.3 %
6,10778.7 %10.0 %
Botanist6,91184712.3 %
6,06487.7 %00.0 %
Chemist6,4644146.4 %
6,05093.6 %00.0 %
Playwright6,91397614.1 %
5,93685.9 %10.0 %
Singer-songwriter7,6552,33630.5 %
5,31369.4 %60.1 %
Television presenter8,7873,63541.4 %
5,15158.6 %10.0 %
Swimmer8,9553,93243.9 %
5,02356.1 %00.0 %
Linguist5,56164911.7 %
4,91288.3 %00.0 %
Rower6,2201,54624.9 %
4,67475.1 %00.0 %
Literary critic5,27368313.0 %
4,59087.0 %00.0 %
Banker4,5571222.7 %
4,43597.3 %00.0 %
Trade unionist4,99164512.9 %
4,34687.1 %00.0 %
Music educator5,6681,33723.6 %
4,33176.4 %00.0 %
Archaeologist4,87458111.9 %
4,29388.1 %00.0 %
Musicologist4,6563788.1 %
4,27891.9 %00.0 %
Rugby league player4,24640.1 %
4,24299.9 %00.0 %
Amateur wrestler4,6074289.3 %
4,17990.7 %00.0 %
Farmer4,2491533.6 %
4,09696.4 %00.0 %
Professor5,04995418.9 %
4,09381.1 %20.0 %
Educationalist4,58359513.0 %
3,98887.0 %00.0 %
Volleyball player7,9824,09051.2 %
3,89248.8 %00.0 %
Basketball coach4,1602796.7 %
3,88193.3 %00.0 %
Art historian4,52880717.8 %
3,72182.2 %00.0 %
Radio personality4,53382818.3 %
3,70481.7 %10.0 %
Tennis player6,1562,53241.1 %
3,62358.9 %10.0 %
Handball player5,6272,08337.0 %
3,54463.0 %00.0 %
Racecar driver3,6371373.8 %
3,49996.2 %10.0 %
Publisher3,7462556.8 %
3,49193.2 %00.0 %
Illustrator4,5201,07423.8 %
3,44676.2 %00.0 %
Anthropologist4,08366116.2 %
3,42283.8 %00.0 %
Sociologist4,00164316.1 %
3,35783.9 %10.0 %
Chess player4,04069317.2 %
3,34682.8 %10.0 %
Psychologist4,26697422.8 %
3,29077.1 %20.0 %
Non-fiction writer3,76249413.1 %
3,26886.9 %00.0 %
Sportsperson4,10591722.3 %
3,18877.7 %00.0 %
Fencer4,05798424.3 %
3,07375.7 %00.0 %
Computer scientist3,1652467.8 %
2,91892.2 %10.0 %
Comics artist3,1672528.0 %
2,91592.0 %00.0 %
Opera singer5,8132,90049.9 %
2,91250.1 %10.0 %
Science fiction writer3,47959617.1 %
2,88382.9 %00.0 %
Astronomer3,0652387.8 %
2,82692.2 %10.0 %
Golfer3,38065819.5 %
2,72280.5 %00.0 %
Voice actor4,2841,56436.5 %
2,71963.5 %10.0 %
Children's writer5,3442,65549.7 %
2,68850.3 %10.0 %
Cinematographer2,7371234.5 %
2,61495.5 %00.0 %
Australian rules footballer2,57180.3 %
2,56399.7 %00.0 %
Editor2,92035912.3 %
2,56187.7 %00.0 %
Explorer2,6391164.4 %
2,52395.6 %00.0 %
Librarian2,94250417.1 %
2,43882.9 %00.0 %
Saxophonist2,4681265.1 %
2,34294.9 %00.0 %
Canoer2,94462321.2 %
2,32178.8 %00.0 %
Zoologist2,4991817.2 %
2,31892.8 %00.0 %
Soldier2,300311.3 %
2,26998.7 %00.0 %
Professional wrestler2,81755819.8 %
2,25980.2 %00.0 %
Badminton player4,2612,01247.2 %
2,24952.8 %00.0 %
Theatre director2,49736014.4 %
2,13785.6 %00.0 %
Entomologist2,187753.4 %
2,11296.6 %00.0 %
Director2,52543717.3 %
2,08782.7 %10.0 %
Association football referee2,1501014.7 %
2,04995.3 %00.0 %
Psychiatrist2,27424210.6 %
2,03289.4 %00.0 %
Biologist2,40138115.9 %
2,02084.1 %00.0 %
Motorcycle racer2,061412.0 %
2,02098.0 %00.0 %
Model12,24810,23383.5 %
2,00016.3 %150.1 %
Aviator2,1532099.7 %
1,94490.3 %00.0 %
Racing driver2,004623.1 %
1,94296.9 %00.0 %
Sport shooter2,41749120.3 %
1,92679.7 %00.0 %
Political scientist2,1021989.4 %
1,90490.6 %00.0 %
Seiyū4,1892,29754.8 %
1,89245.2 %00.0 %
Disc jockey2,0431638.0 %
1,87992.0 %10.0 %
Biographer2,43756023.0 %
1,87777.0 %00.0 %
Comedian2,31047720.6 %
1,83079.2 %30.1 %
Judoka2,67590233.7 %
1,77366.3 %00.0 %
Field hockey player2,7841,01236.4 %
1,77263.6 %00.0 %
Sprinter2,8521,12639.5 %
1,72460.4 %20.1 %
Choreographer2,8131,11939.8 %
1,69160.1 %30.1 %
Alpine skier2,8321,14440.4 %
1,68859.6 %00.0 %
Essayist2,12357226.9 %
1,55173.1 %00.0 %
Biathlete2,53398839.0 %
1,54561.0 %00.0 %
Mangaka2,16269932.3 %
1,46367.7 %00.0 %
Artistic gymnast2,5151,15545.9 %
1,36054.1 %00.0 %
Figure skater2,9681,61354.3 %
1,35545.7 %00.0 %
Announcer2,3201,18651.1 %
1,13448.9 %00.0 %
Dancer2,4031,50662.7 %
89437.2 %30.1 %
Tarento2,4111,79374.4 %
61625.5 %20.1 %
Pornographic actor2,2971,80278.5 %
47620.7 %190.8 %
Beauty pageant contestant2,1522,11998.5 %
331.5 %00.0 %