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 by year of birth

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16091,589865.4 %total under the threshold of 2000 people1,50394.6 %00.0 %
1610 → 16191,667975.8 %total under the threshold of 2000 people1,57094.2 %00.0 %
1620 → 16291,789915.1 %total under the threshold of 2000 people1,69894.9 %00.0 %
1630 → 16391,6131006.2 %total under the threshold of 2000 people1,51293.7 %10.1 %
1640 → 16491,7501126.4 %total under the threshold of 2000 people1,63893.6 %00.0 %
1650 → 16591,7491025.8 %total under the threshold of 2000 people1,64794.2 %00.0 %
1660 → 16691,7601237.0 %total under the threshold of 2000 people1,63793.0 %00.0 %
1670 → 16791,6691046.2 %total under the threshold of 2000 people1,56593.8 %00.0 %
1680 → 16891,913934.9 %total under the threshold of 2000 people1,81995.1 %10.1 %
1690 → 16991,9511045.3 %total under the threshold of 2000 people1,84794.7 %00.0 %
1700 → 17092,2861355.9 %
2,15194.1 %00.0 %
1710 → 17192,6481535.8 %
2,49594.2 %00.0 %
1720 → 17293,3401765.3 %
3,16394.7 %10.0 %
1730 → 17394,2272175.1 %
4,01094.9 %00.0 %
1740 → 17495,5092654.8 %
5,24495.2 %00.0 %
1750 → 17597,6093474.6 %
7,26295.4 %00.0 %
1760 → 17698,0694155.1 %
7,65494.9 %00.0 %
1770 → 17798,6914565.2 %
8,23594.8 %00.0 %
1780 → 17899,2644865.2 %
8,77894.8 %00.0 %
1790 → 179911,6645394.6 %
11,12395.4 %20.0 %
1800 → 180915,7417134.5 %
15,02895.5 %00.0 %
1810 → 181918,9318924.7 %
18,03995.3 %00.0 %
1820 → 182920,6491,0555.1 %
19,59494.9 %00.0 %
1830 → 183922,4811,2945.8 %
21,18694.2 %10.0 %
1840 → 184925,8881,6846.5 %
24,20293.5 %20.0 %
1850 → 185930,4622,2207.3 %
28,24092.7 %20.0 %
1860 → 186938,2603,1528.2 %
35,10891.8 %00.0 %
1870 → 187947,5984,1918.8 %
43,40791.2 %00.0 %
1880 → 188960,9355,1328.4 %
55,80091.6 %30.0 %
1890 → 189970,8566,9519.8 %
63,90390.2 %20.0 %
1900 → 190986,4049,53811.0 %
76,86689.0 %00.0 %
1910 → 191993,89111,15911.9 %
82,72988.1 %30.0 %
1920 → 1929119,29115,06012.6 %
104,22587.4 %60.0 %
1930 → 1939123,35216,68113.5 %
106,66786.5 %40.0 %
1940 → 1949164,17527,36616.7 %
136,79083.3 %190.0 %
1950 → 1959174,06733,63419.3 %
140,40580.7 %280.0 %
1960 → 1969174,32839,14722.5 %
135,14377.5 %380.0 %
1970 → 1979173,26844,23825.5 %
128,99374.4 %370.0 %
1980 → 1989186,56149,36226.5 %
137,14473.5 %550.0 %
1990 → 199991,35324,43426.7 %
66,90173.2 %180.0 %
2000 → 20091,7821,05959.4 %total under the threshold of 2000 people72240.5 %10.1 %
2010 → 2019392051.3 %total under the threshold of 2000 people1948.7 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Thailand2,59258022.4 %
2,00977.5 %30.1 %
Philippines4,3581,09125.0 %
3,26574.9 %20.0 %
Turkey13,0812,17416.6 %
10,90283.3 %50.0 %
Uruguay4,59247310.3 %
4,11789.7 %20.0 %
Malaysia2,51747819.0 %
2,03881.0 %10.0 %
United States of America295,97550,43417.0 %
245,45682.9 %850.0 %
Japan80,08920,30725.4 %
59,76074.6 %220.0 %
Mexico15,7733,06019.4 %
12,70880.6 %50.0 %
Hungary15,7402,74017.4 %
12,99682.6 %40.0 %
Romania11,3251,95217.2 %
9,37082.7 %30.0 %
Israel7,7281,54420.0 %
6,18280.0 %20.0 %
Cuba3,49470620.2 %
2,78779.8 %10.0 %
Egypt3,47784224.2 %
2,63475.8 %10.0 %
Brazil30,9024,94916.0 %
25,94884.0 %50.0 %
India21,7793,98818.3 %
17,78781.7 %40.0 %
Argentina19,7872,88114.6 %
16,90385.4 %30.0 %
New Zealand12,6212,54620.2 %
10,07279.8 %30.0 %
People's Republic of China11,1053,54131.9 %
7,56268.1 %20.0 %
Greece10,9151,46413.4 %
9,44986.6 %20.0 %
Colombia5,66491616.2 %
4,74783.8 %10.0 %
Nigeria4,08764115.7 %
3,44584.3 %10.0 %
United Kingdom114,28415,16413.3 %
99,10886.7 %120.0 %
France123,26515,93912.9 %
107,31787.1 %90.0 %
Spain57,1688,46414.8 %
48,69785.2 %70.0 %
Kingdom of the Netherlands39,8127,94219.9 %
31,86680.0 %40.0 %
Canada46,7628,06017.2 %
38,69982.8 %30.0 %
Australia32,8626,42619.6 %
26,43380.4 %30.0 %
Belgium25,7453,68614.3 %
22,05685.7 %30.0 %
Switzerland22,7503,44215.1 %
19,30684.9 %20.0 %
South Korea10,5383,31931.5 %
7,21868.5 %10.0 %
Ireland9,8721,25412.7 %
8,61787.3 %10.0 %
Iran8,18898012.0 %
7,20788.0 %10.0 %
Slovenia7,6441,66621.8 %
5,97778.2 %10.0 %
Chile7,5941,07714.2 %
6,51685.8 %10.0 %
Germany184,43826,88914.6 %
157,54385.4 %60.0 %
Italy66,5929,79914.7 %
56,79185.3 %20.0 %
Sweden51,10311,64522.8 %
39,45777.2 %10.0 %
Poland36,8436,56217.8 %
30,28082.2 %10.0 %
Denmark23,6464,44218.8 %
19,20381.2 %10.0 %
Soviet Union23,2222,0108.7 %
21,21191.3 %10.0 %
Norway38,7538,19121.1 %
30,56278.9 %00.0 %
Austria31,3865,29816.9 %
26,08883.1 %00.0 %
Finland30,2005,86819.4 %
24,33280.6 %00.0 %
Russia25,6815,06419.7 %
20,61780.3 %00.0 %
Czech Republic12,5532,10116.7 %
10,45283.3 %00.0 %
Kingdom of Italy10,7244904.6 %
10,23495.4 %00.0 %
Portugal9,2461,18312.8 %
8,06387.2 %00.0 %
South Africa8,9661,38015.4 %
7,58684.6 %00.0 %
Ukraine8,1851,50918.4 %
6,67681.6 %00.0 %
Russian Empire8,0086327.9 %
7,37692.1 %00.0 %
Bulgaria7,1181,27217.9 %
5,84682.1 %00.0 %
Lithuania7,0301,56422.2 %
5,46677.8 %00.0 %
Czechoslovakia6,41791814.3 %
5,49985.7 %00.0 %
Serbia5,38097618.1 %
4,40481.9 %00.0 %
Latvia4,75876216.0 %
3,99684.0 %00.0 %
Indonesia4,7491,32227.8 %
3,42772.2 %00.0 %
Peru4,17763915.3 %
3,53884.7 %00.0 %
Slovakia3,95769317.5 %
3,26482.5 %00.0 %
Venezuela3,75879521.2 %
2,96378.8 %00.0 %
Belarus3,61777021.3 %
2,84778.7 %00.0 %
Estonia3,55974120.8 %
2,81879.2 %00.0 %
Croatia3,41457216.8 %
2,84283.2 %00.0 %
Netherlands3,2671785.4 %
3,08994.6 %00.0 %
Pakistan3,19939912.5 %
2,80087.5 %00.0 %
Luxembourg3,12036611.7 %
2,75488.3 %00.0 %
German Empire2,7471174.3 %
2,63095.7 %00.0 %
United Kingdom of Great Britain and Ireland2,5781114.3 %
2,46795.7 %00.0 %
Algeria2,40028912.0 %
2,11188.0 %00.0 %
Tunisia2,31534815.0 %
1,96785.0 %00.0 %
Albania2,17326012.0 %
1,91388.0 %00.0 %
Iceland2,15748522.5 %
1,67277.5 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Pornographic actor2,3781,88079.1 %
47920.1 %190.8 %
Tarento2,4541,82474.3 %
62325.4 %70.3 %
Dancer2,4501,53762.7 %
90837.1 %50.2 %
Model12,31510,28183.5 %
2,01516.4 %190.2 %
Choreographer2,8381,13640.0 %
1,69859.8 %40.1 %
Mangaka2,17570432.4 %
1,46867.5 %30.1 %
Comedian2,34448520.7 %
1,85679.2 %30.1 %
Singer-songwriter7,7052,35530.6 %
5,34369.3 %70.1 %
Television actor17,1587,46543.5 %
9,68056.4 %130.1 %
Surgeon2,9451083.7 %
2,83596.3 %20.1 %
Sprinter2,8531,13139.6 %
1,72060.3 %20.1 %
Singer47,70521,94846.0 %
25,73053.9 %270.1 %
Artist8,8432,34626.5 %
6,49273.4 %50.1 %
Actor121,12852,37043.2 %
68,70356.7 %550.0 %
Record producer6,5803475.3 %
6,23094.7 %30.0 %
Psychologist4,32799823.1 %
3,32776.9 %20.0 %
Disc jockey2,0761688.1 %
1,90791.9 %10.0 %
Rapper2,0451758.6 %
1,86991.4 %10.0 %
Film actor35,04614,50041.4 %
20,53158.6 %150.0 %
Photographer11,3542,05118.1 %
9,29981.9 %40.0 %
Professor5,08197019.1 %
4,10980.9 %20.0 %
Director2,57744717.3 %
2,12982.6 %10.0 %
Soldier2,364311.3 %
2,33298.6 %10.0 %
Songwriter12,2022,56121.0 %
9,63779.0 %40.0 %
Racecar driver3,6461373.8 %
3,50896.2 %10.0 %
Computer scientist3,1962537.9 %
2,94292.1 %10.0 %
Astronomer3,0902397.7 %
2,85092.2 %10.0 %
Writer100,13522,42122.4 %
77,69177.6 %230.0 %
Poet25,7155,20720.2 %
20,50379.7 %50.0 %
Musician21,4092,57712.0 %
18,82787.9 %50.0 %
Film director22,4572,74212.2 %
19,71187.8 %40.0 %
Stage actor18,6187,65841.1 %
10,95758.9 %30.0 %
Novelist13,6105,10237.5 %
8,50562.5 %30.0 %
Pianist11,7692,43820.7 %
9,32979.3 %20.0 %
Television presenter9,2433,82241.4 %
5,41958.6 %20.0 %
Film producer8,7021,23014.1 %
7,47085.8 %20.0 %
Boxer8,3314725.7 %
7,85794.3 %20.0 %
Tennis player6,1962,55741.3 %
3,63858.7 %10.0 %
Opera singer5,8482,91949.9 %
2,92850.1 %10.0 %
Music educator5,6881,33823.5 %
4,34976.5 %10.0 %
Children's writer5,3742,67149.7 %
2,70250.3 %10.0 %
Illustrator4,6281,09923.7 %
3,52876.2 %10.0 %
Radio personality4,57384118.4 %
3,73181.6 %10.0 %
Voice actor4,3211,56936.3 %
2,75163.7 %10.0 %
Chess player4,05969517.1 %
3,36382.9 %10.0 %
Sociologist4,04565216.1 %
3,39283.9 %10.0 %
Journalist64,43712,36219.2 %
52,06780.8 %80.0 %
Composer40,3374,40210.9 %
35,92989.1 %60.0 %
Painter52,0718,22915.8 %
43,83884.2 %40.0 %
Lawyer41,9063,1897.6 %
38,71492.4 %30.0 %
Screenwriter24,5163,68015.0 %
20,83385.0 %30.0 %
Athletics competitor21,5957,03932.6 %
14,55367.4 %30.0 %
Basketball player20,9643,67117.5 %
17,29182.5 %20.0 %
Author18,4374,01921.8 %
14,41678.2 %20.0 %
Sport cyclist17,2482,17212.6 %
15,07487.4 %20.0 %
Businessperson14,3451,0407.2 %
13,30392.7 %20.0 %
Physician13,7521,2579.1 %
12,49390.8 %20.0 %
Diplomat16,6017994.8 %
15,80195.2 %10.0 %
Military personnel15,298710.5 %
15,22699.5 %10.0 %
Officer14,9751551.0 %
14,81999.0 %10.0 %
Jurist11,0475515.0 %
10,49595.0 %10.0 %
Translator10,3832,39723.1 %
7,98576.9 %10.0 %
Teacher8,4501,77321.0 %
6,67679.0 %10.0 %
Entrepreneur8,1764385.4 %
7,73794.6 %10.0 %
Philosopher7,6115777.6 %
7,03392.4 %10.0 %
Physicist7,4023364.5 %
7,06595.4 %10.0 %
Playwright7,0761,00814.2 %
6,06785.7 %10.0 %
Guitarist6,8655558.1 %
6,30991.9 %10.0 %
Politician246,02625,71510.5 %
220,30189.5 %100.0 %
Association football player177,2527,1734.0 %
170,07696.0 %30.0 %
University teacher62,7515,0948.1 %
57,65791.9 %00.0 %
Baseball player27,5903801.4 %
27,21098.6 %00.0 %
Ice hockey player22,4316733.0 %
21,75897.0 %00.0 %
Historian22,1572,0309.2 %
20,12790.8 %00.0 %
American football player22,097440.2 %
22,05399.8 %00.0 %
Architect19,9331,2536.3 %
18,68093.7 %00.0 %
Association football manager19,8082521.3 %
19,55698.7 %00.0 %
Judge19,7751,4117.1 %
18,36492.9 %00.0 %
Cricketer19,1497483.9 %
18,40196.1 %00.0 %
Engineer14,4373832.7 %
14,05497.3 %00.0 %
Sculptor13,4071,82113.6 %
11,58686.4 %00.0 %
Economist12,7939757.6 %
11,81892.4 %00.0 %
Catholic priest12,33920.0 %
12,337100.0 %00.0 %
Rugby union player11,0813523.2 %
10,72996.8 %00.0 %
Conductor10,4293403.3 %
10,08996.7 %00.0 %
Theologian9,0282833.1 %
8,74596.9 %00.0 %
Swimmer9,0073,94843.8 %
5,05956.2 %00.0 %
Mathematician8,7815776.6 %
8,20493.4 %00.0 %
Volleyball player7,9964,09751.2 %
3,89948.8 %00.0 %
Jazz musician7,31994212.9 %
6,37787.1 %00.0 %
Botanist7,03087312.4 %
6,15787.6 %00.0 %
Priest6,8671281.9 %
6,73998.1 %00.0 %
Chemist6,8154556.7 %
6,36093.3 %00.0 %
Rower6,2581,55424.8 %
4,70475.2 %00.0 %
Handball player5,6532,10037.1 %
3,55362.9 %00.0 %
Linguist5,61066011.8 %
4,95088.2 %00.0 %
Literary critic5,32169213.0 %
4,62987.0 %00.0 %
Trade unionist5,05365813.0 %
4,39587.0 %00.0 %
Archaeologist4,92259012.0 %
4,33288.0 %00.0 %
Musicologist4,6803818.1 %
4,29991.9 %00.0 %
Educationalist4,66662113.3 %
4,04586.7 %00.0 %
Amateur wrestler4,6274319.3 %
4,19690.7 %00.0 %
Banker4,6121232.7 %
4,48997.3 %00.0 %
Art historian4,54481017.8 %
3,73482.2 %00.0 %
Badminton player4,3392,06047.5 %
2,27952.5 %00.0 %
Farmer4,3141573.6 %
4,15796.4 %00.0 %
Rugby league player4,26940.1 %
4,26599.9 %00.0 %
Seiyū4,2172,29254.4 %
1,92545.6 %00.0 %
Sportsperson4,20895122.6 %
3,25777.4 %00.0 %
Basketball coach4,1752806.7 %
3,89593.3 %00.0 %
Anthropologist4,09366616.3 %
3,42783.7 %00.0 %
Fencer4,07599024.3 %
3,08575.7 %00.0 %
Non-fiction writer3,80450813.4 %
3,29686.6 %00.0 %
Publisher3,7782606.9 %
3,51893.1 %00.0 %
Science fiction writer3,48059417.1 %
2,88682.9 %00.0 %
Golfer3,38766019.5 %
2,72780.5 %00.0 %
Comics artist3,2362557.9 %
2,98192.1 %00.0 %
Librarian3,01552717.5 %
2,48882.5 %00.0 %
Figure skater3,0131,64254.5 %
1,37145.5 %00.0 %
Editor2,97638012.8 %
2,59687.2 %00.0 %
Canoer2,94462221.1 %
2,32278.9 %00.0 %
Professional wrestler2,86456319.7 %
2,30180.3 %00.0 %
Alpine skier2,8371,14540.4 %
1,69259.6 %00.0 %
Cinematographer2,8011284.6 %
2,67395.4 %00.0 %
Field hockey player2,7931,01436.3 %
1,77963.7 %00.0 %
Judoka2,69791133.8 %
1,78666.2 %00.0 %
Zoologist2,6892077.7 %
2,48292.3 %00.0 %
Explorer2,6511204.5 %
2,53195.5 %00.0 %
Australian rules footballer2,601130.5 %
2,58899.5 %00.0 %
Theatre director2,56837514.6 %
2,19385.4 %00.0 %
Artistic gymnast2,5231,16146.0 %
1,36254.0 %00.0 %
Biathlete2,50798439.3 %
1,52360.7 %00.0 %
Saxophonist2,4741265.1 %
2,34894.9 %00.0 %
Geologist2,4531104.5 %
2,34395.5 %00.0 %
Biographer2,44856323.0 %
1,88577.0 %00.0 %
Sport shooter2,42949820.5 %
1,93179.5 %00.0 %
Biologist2,42639016.1 %
2,03683.9 %00.0 %
Announcer2,4001,22351.0 %
1,17749.0 %00.0 %
Psychiatrist2,30924410.6 %
2,06589.4 %00.0 %
Entomologist2,222783.5 %
2,14496.5 %00.0 %
Aviator2,2132179.8 %
1,99690.2 %00.0 %
Essayist2,20658126.3 %
1,62573.7 %00.0 %
Beauty pageant contestant2,1772,14498.5 %
331.5 %00.0 %
Association football referee2,1711024.7 %
2,06995.3 %00.0 %
Political scientist2,1702069.5 %
1,96490.5 %00.0 %
Motorcycle racer2,064412.0 %
2,02398.0 %00.0 %
Organist2,0181266.2 %
1,89293.8 %00.0 %
Racing driver2,008623.1 %
1,94696.9 %00.0 %
Lyricist2,00738319.1 %
1,62480.9 %00.0 %
Film editor2,00335117.5 %
1,65282.5 %00.0 %