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
All1,848,673308,36316.7 %
1,540,09083.3 %2200.0 %

Gender Gap by year of birth

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16091,616905.6 %total under the threshold of 2000 people1,52694.4 %00.0 %
1610 → 16191,7091015.9 %total under the threshold of 2000 people1,60894.1 %00.0 %
1620 → 16291,809894.9 %total under the threshold of 2000 people1,72095.1 %00.0 %
1630 → 16391,647965.8 %total under the threshold of 2000 people1,55194.2 %00.0 %
1640 → 16491,7861156.4 %total under the threshold of 2000 people1,67193.6 %00.0 %
1650 → 16591,7821025.7 %total under the threshold of 2000 people1,68094.3 %00.0 %
1660 → 16691,8111297.1 %total under the threshold of 2000 people1,68292.9 %00.0 %
1670 → 16791,6931036.1 %total under the threshold of 2000 people1,59093.9 %00.0 %
1680 → 16891,953995.1 %total under the threshold of 2000 people1,85394.9 %10.1 %
1690 → 16991,9871065.3 %total under the threshold of 2000 people1,88194.7 %00.0 %
1700 → 17092,3251375.9 %
2,18894.1 %00.0 %
1710 → 17192,6941555.8 %
2,53994.2 %00.0 %
1720 → 17293,4131785.2 %
3,23494.8 %10.0 %
1730 → 17394,2942165.0 %
4,07895.0 %00.0 %
1740 → 17495,6042694.8 %
5,33595.2 %00.0 %
1750 → 17597,6313444.5 %
7,28795.5 %00.0 %
1760 → 17698,1294195.2 %
7,71094.8 %00.0 %
1770 → 17798,7494585.2 %
8,29194.8 %00.0 %
1780 → 17899,3334895.2 %
8,84494.8 %00.0 %
1790 → 179911,8015464.6 %
11,25395.4 %20.0 %
1800 → 180915,9237194.5 %
15,20495.5 %00.0 %
1810 → 181919,1268994.7 %
18,22795.3 %00.0 %
1820 → 182920,9501,0785.1 %
19,87294.9 %00.0 %
1830 → 183922,7591,3165.8 %
21,44294.2 %10.0 %
1840 → 184926,2241,7116.5 %
24,51193.5 %20.0 %
1850 → 185930,8452,2527.3 %
28,59292.7 %10.0 %
1860 → 186938,7793,2008.3 %
35,57991.7 %00.0 %
1870 → 187948,1744,2458.8 %
43,92991.2 %00.0 %
1880 → 188961,6255,1838.4 %
56,44091.6 %20.0 %
1890 → 189971,8757,0379.8 %
64,83690.2 %20.0 %
1900 → 190988,0779,72811.0 %
78,34989.0 %00.0 %
1910 → 191995,72111,33211.8 %
84,38888.2 %10.0 %
1920 → 1929121,59315,31212.6 %
106,27587.4 %60.0 %
1930 → 1939125,25016,98413.6 %
108,26186.4 %50.0 %
1940 → 1949166,43827,76616.7 %
138,65583.3 %170.0 %
1950 → 1959176,64034,25419.4 %
142,35880.6 %280.0 %
1960 → 1969177,00939,87422.5 %
137,09477.5 %410.0 %
1970 → 1979175,76644,97425.6 %
130,75174.4 %410.0 %
1980 → 1989188,70350,08226.5 %
138,57073.4 %510.0 %
1990 → 199993,47925,03226.8 %
68,42973.2 %180.0 %
2000 → 20091,9131,12558.8 %total under the threshold of 2000 people78841.2 %00.0 %
2010 → 2019381950.0 %total under the threshold of 2000 people1950.0 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United Kingdom of Great Britain and Ireland2,8701224.3 %
2,74895.7 %00.0 %
German Empire2,7541174.2 %
2,63795.8 %00.0 %
Kingdom of Italy11,4205274.6 %
10,89395.4 %00.0 %
Netherlands3,2821815.5 %
3,10194.5 %00.0 %
Russian Empire8,3216517.8 %
7,67092.2 %00.0 %
Austria-Hungary2,0241688.3 %
1,85691.7 %00.0 %
Soviet Union23,4302,0498.7 %
21,38191.3 %00.0 %
Uruguay4,67249710.6 %
4,17389.3 %20.0 %
Algeria2,46628911.7 %
2,17788.3 %00.0 %
Luxembourg3,15537511.9 %
2,77988.1 %10.0 %
Iran9,1341,10812.1 %
8,02687.9 %00.0 %
Albania2,20427112.3 %
1,93387.7 %00.0 %
Pakistan3,24540712.5 %
2,83887.5 %00.0 %
Portugal9,3701,19212.7 %
8,17887.3 %00.0 %
Ireland9,9371,27412.8 %
8,66287.2 %10.0 %
France124,24416,13913.0 %
108,09687.0 %90.0 %
United Kingdom115,33415,35513.3 %
99,96886.7 %110.0 %
Greece11,0221,47413.4 %
9,54686.6 %20.0 %
Morocco2,00128314.1 %
1,71885.9 %00.0 %
Belgium25,9213,73014.4 %
22,18985.6 %20.0 %
Chile7,7821,12314.4 %
6,65785.5 %20.0 %
Germany185,23527,04914.6 %
158,18185.4 %50.0 %
Czechoslovakia6,49595514.7 %
5,54085.3 %00.0 %
Argentina19,9252,93014.7 %
16,99385.3 %20.0 %
Italy65,6679,75914.9 %
55,90585.1 %30.0 %
Spain57,9788,65914.9 %
49,31185.1 %80.0 %
Tunisia2,33135115.1 %
1,98084.9 %00.0 %
Switzerland23,0993,50415.2 %
19,59384.8 %20.0 %
South Africa9,0371,40615.6 %
7,63184.4 %00.0 %
Peru4,24966115.6 %
3,58884.4 %00.0 %
Nigeria4,12465715.9 %
3,46784.1 %00.0 %
Brazil31,1954,99116.0 %
26,19884.0 %60.0 %
Latvia4,80077216.1 %
4,02883.9 %00.0 %
Colombia5,76995716.6 %
4,81183.4 %10.0 %
Czech Republic12,6482,10316.6 %
10,54583.4 %00.0 %
Turkey13,2402,20016.6 %
11,03483.3 %60.0 %
Croatia3,45558116.8 %
2,87483.2 %00.0 %
Austria31,6855,37317.0 %
26,31283.0 %00.0 %
Ukraine9,0611,54317.0 %
7,51883.0 %00.0 %
United States of America298,88751,25817.1 %
247,53982.8 %900.0 %
Canada47,0248,16617.4 %
38,85582.6 %30.0 %
Romania11,4131,98817.4 %
9,42482.6 %10.0 %
Hungary16,3922,85617.4 %
13,53282.6 %40.0 %
Russia28,9685,09117.6 %
23,87782.4 %00.0 %
Slovakia3,98670117.6 %
3,28582.4 %00.0 %
Poland36,9906,60617.9 %
30,38382.1 %10.0 %
Bulgaria7,6001,36317.9 %
6,23782.1 %00.0 %
Serbia5,43598718.2 %
4,44881.8 %00.0 %
Denmark23,8064,47018.8 %
19,33581.2 %10.0 %
Malaysia2,56549119.1 %
2,07380.8 %10.0 %
India21,1474,05619.2 %
17,08780.8 %40.0 %
Finland30,4305,92919.5 %
24,50180.5 %00.0 %
Mexico15,9693,12319.6 %
12,84180.4 %50.0 %
Australia33,1626,54219.7 %
26,61780.3 %30.0 %
Israel9,9131,95719.7 %
7,95480.2 %20.0 %
Kingdom of the Netherlands40,3008,05520.0 %
32,24380.0 %20.0 %
Cuba3,52871420.2 %
2,81379.7 %10.0 %
New Zealand12,7482,59520.4 %
10,15079.6 %30.0 %
Estonia3,66377221.1 %
2,89178.9 %00.0 %
Norway38,9918,26721.2 %
30,72478.8 %00.0 %
Belarus3,64277721.3 %
2,86578.7 %00.0 %
Venezuela3,87383121.5 %
3,04278.5 %00.0 %
Slovenia7,6851,68722.0 %
5,99778.0 %10.0 %
Lithuania7,0351,56822.3 %
5,46777.7 %00.0 %
Iceland2,17548922.5 %
1,68677.5 %00.0 %
Thailand2,67160122.5 %
2,06777.4 %30.1 %
Sweden51,22511,66622.8 %
39,55877.2 %10.0 %
Egypt3,58486524.1 %
2,71975.9 %00.0 %
Japan83,81520,82924.9 %
62,96275.1 %240.0 %
Philippines4,4041,10825.2 %
3,29374.8 %30.1 %
Indonesia5,0871,41627.8 %
3,67172.2 %00.0 %
People's Republic of China11,3153,57231.6 %
7,74168.4 %20.0 %
South Korea10,7333,42331.9 %
7,31068.1 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Catholic priest12,40720.0 %
12,405100.0 %00.0 %
Rugby league player4,31040.1 %
4,30699.9 %00.0 %
American football player22,111430.2 %
22,06899.8 %00.0 %
Military personnel16,743790.5 %
16,66399.5 %10.0 %
Australian rules footballer2,615150.6 %
2,60099.4 %00.0 %
Officer15,2651611.1 %
15,10398.9 %10.0 %
Association football manager19,8482521.3 %
19,59698.7 %00.0 %
Baseball player27,6273821.4 %
27,24598.6 %00.0 %
Soldier2,413341.4 %
2,37898.5 %10.0 %
Priest6,9681261.8 %
6,84298.2 %00.0 %
Motorcycle racer2,068412.0 %
2,02798.0 %00.0 %
Engineer14,5833932.7 %
14,19097.3 %00.0 %
Banker4,6531272.7 %
4,52697.3 %00.0 %
Ice hockey player22,4166793.0 %
21,73797.0 %00.0 %
Theologian9,0712853.1 %
8,78696.9 %00.0 %
Racing driver2,023643.2 %
1,95996.8 %00.0 %
Rugby union player11,0963523.2 %
10,74496.8 %00.0 %
Conductor10,4733433.3 %
10,12996.7 %10.0 %
Farmer4,3731583.6 %
4,21596.4 %00.0 %
Surgeon2,9821093.7 %
2,87196.3 %20.1 %
Racecar driver3,6651373.7 %
3,52796.2 %10.0 %
Entomologist2,288873.8 %
2,20196.2 %00.0 %
Cricketer19,2657724.0 %
18,49396.0 %00.0 %
Association football player178,1537,2034.0 %
170,95096.0 %00.0 %
Explorer2,6911204.5 %
2,57195.5 %00.0 %
Physicist7,4523344.5 %
7,11795.5 %10.0 %
Geologist2,4861144.6 %
2,37295.4 %00.0 %
Cinematographer2,8371324.7 %
2,70595.3 %00.0 %
Association football referee2,1891034.7 %
2,08695.3 %00.0 %
Diplomat16,8128174.9 %
15,99495.1 %10.0 %
Jurist11,1375635.1 %
10,57494.9 %00.0 %
Saxophonist2,4781255.0 %
2,35294.9 %10.0 %
Record producer6,6513585.4 %
6,29194.6 %20.0 %
Entrepreneur8,2864555.5 %
7,83094.5 %10.0 %
Boxer8,3824795.7 %
7,90194.3 %20.0 %
Architect20,2001,2836.4 %
18,91793.6 %00.0 %
Organist2,0441306.4 %
1,91493.6 %00.0 %
Mathematician8,8425826.6 %
8,26093.4 %00.0 %
Chemist6,8994636.7 %
6,43693.3 %00.0 %
Basketball coach4,2012846.8 %
3,91793.2 %00.0 %
Publisher3,8172667.0 %
3,55193.0 %00.0 %
Judge19,9011,4307.2 %
18,47192.8 %00.0 %
Businessperson14,6531,0817.4 %
13,57092.6 %20.0 %
Philosopher7,6995867.6 %
7,11292.4 %10.0 %
Lawyer42,2823,2407.7 %
39,03992.3 %30.0 %
Astronomer3,1182407.7 %
2,87792.3 %10.0 %
Economist13,0471,0157.8 %
12,03292.2 %00.0 %
Zoologist2,7212167.9 %
2,50592.1 %00.0 %
Computer scientist3,2592608.0 %
2,99892.0 %10.0 %
Guitarist6,8945598.1 %
6,33491.9 %10.0 %
Comics artist3,2772678.1 %
3,01091.9 %00.0 %
Musicologist4,7103858.2 %
4,32591.8 %00.0 %
University teacher62,9575,1478.2 %
57,81091.8 %00.0 %
Disc jockey2,1051768.4 %
1,92891.6 %10.0 %
Philologist2,0351728.5 %
1,86391.5 %00.0 %
Rapper2,1211868.8 %
1,93491.2 %10.0 %
Physician14,0671,2839.1 %
12,78290.9 %20.0 %
Historian22,6192,0869.2 %
20,53390.8 %00.0 %
Amateur wrestler4,6554379.4 %
4,21890.6 %00.0 %
Political scientist2,2442139.5 %
2,03190.5 %00.0 %
Aviator2,2682259.9 %
2,04390.1 %00.0 %
Politician249,31926,11610.5 %
223,19289.5 %110.0 %
Psychiatrist2,34425110.7 %
2,09389.3 %00.0 %
Composer40,7584,45510.9 %
36,29689.1 %70.0 %
Archaeologist5,07059911.8 %
4,47188.2 %00.0 %
Linguist5,83669211.9 %
5,14388.1 %10.0 %
Musician21,9202,63012.0 %
19,28588.0 %50.0 %
Film director22,9042,82012.3 %
20,08087.7 %40.0 %
Botanist8,3881,06212.7 %
7,32687.3 %00.0 %
Jazz musician7,33694512.9 %
6,39187.1 %00.0 %
Trade unionist5,10666813.1 %
4,43886.9 %00.0 %
Sport cyclist17,6532,31013.1 %
15,34186.9 %20.0 %
Editor3,04639913.1 %
2,64786.9 %00.0 %
Literary critic5,36570713.2 %
4,65886.8 %00.0 %
Non-fiction writer3,83251413.4 %
3,31886.6 %00.0 %
Educationalist4,70463713.5 %
4,06786.5 %00.0 %
Sculptor13,5691,86813.8 %
11,70186.2 %00.0 %
Film producer8,7791,25414.3 %
7,52285.7 %30.0 %
Playwright7,1951,03414.4 %
6,15985.6 %20.0 %
Theatre director2,62038114.5 %
2,23985.5 %00.0 %
Screenwriter24,7423,72615.1 %
21,01284.9 %40.0 %
Painter52,7618,38315.9 %
44,37484.1 %40.0 %
Sociologist4,12466816.2 %
3,45583.8 %10.0 %
Biologist2,46940316.3 %
2,06683.7 %00.0 %
Anthropologist4,12867416.3 %
3,45483.7 %00.0 %
Science fiction writer3,48359617.1 %
2,88782.9 %00.0 %
Chess player4,34975017.2 %
3,59882.7 %10.0 %
Director2,64145617.3 %
2,18482.7 %10.0 %
Basketball player21,3143,70917.4 %
17,60482.6 %10.0 %
Librarian3,07253917.5 %
2,53382.5 %00.0 %
Art historian4,57782017.9 %
3,75782.1 %00.0 %
Film editor2,02036318.0 %
1,65782.0 %00.0 %
Photographer11,5322,10218.2 %
9,42681.7 %40.0 %
Radio personality4,61085718.6 %
3,75281.4 %10.0 %
Lyricist2,06339018.9 %
1,67381.1 %00.0 %
Professor5,15698119.0 %
4,17380.9 %20.0 %
Journalist65,24912,54219.2 %
52,69980.8 %80.0 %
Golfer3,38866019.5 %
2,72880.5 %00.0 %
Professional wrestler2,88057019.8 %
2,31080.2 %00.0 %
Poet26,1445,34020.4 %
20,79979.6 %50.0 %
Pianist11,8182,45920.8 %
9,35879.2 %10.0 %
Comedian2,38949520.7 %
1,89079.1 %40.2 %
Songwriter12,3382,58521.0 %
9,74979.0 %40.0 %
Canoer2,97363221.3 %
2,34178.7 %00.0 %
Teacher8,8611,88621.3 %
6,97378.7 %20.0 %
Sport shooter2,47654021.8 %
1,93678.2 %00.0 %
Author18,5454,05321.9 %
14,49178.1 %10.0 %
Writer101,44722,83022.5 %
78,59477.5 %230.0 %
Sportsperson4,31298422.8 %
3,32877.2 %00.0 %
Translator10,7112,47923.1 %
8,23076.8 %20.0 %
Biographer2,46457123.2 %
1,89376.8 %00.0 %
Psychologist4,3971,02123.2 %
3,37476.7 %20.0 %
Music educator5,7011,34023.5 %
4,36176.5 %00.0 %
Illustrator4,7581,13423.8 %
3,62376.1 %10.0 %
Fencer4,07699124.3 %
3,08575.7 %00.0 %
Rower6,3021,57725.0 %
4,72575.0 %00.0 %
Essayist2,26959726.3 %
1,67273.7 %00.0 %
Artist9,0692,41226.6 %
6,65273.3 %50.1 %
Singer-songwriter7,7722,37830.6 %
5,38669.3 %80.1 %
Mangaka2,17770432.3 %
1,47067.5 %30.1 %
Athletics competitor21,7267,07132.5 %
14,65267.4 %30.0 %
Judoka2,72892033.7 %
1,80866.3 %00.0 %
Voice actor4,3671,58736.3 %
2,77963.6 %10.0 %
Field hockey player2,7961,02036.5 %
1,77663.5 %00.0 %
Handball player5,6722,11837.3 %
3,55462.7 %00.0 %
Novelist14,0155,23237.3 %
8,78062.6 %30.0 %
Biathlete2,52398238.9 %
1,54161.1 %00.0 %
Sprinter2,8691,13839.7 %
1,72960.3 %20.1 %
Alpine skier2,8441,14340.2 %
1,70159.8 %00.0 %
Choreographer2,8711,15340.2 %
1,71459.7 %40.1 %
Stage actor18,7307,72441.2 %
11,00258.7 %40.0 %
Tennis player6,2382,58041.4 %
3,65758.6 %10.0 %
Film actor35,15314,56541.4 %
20,57358.5 %150.0 %
Television presenter9,3903,89641.5 %
5,49358.5 %10.0 %
Actor122,68953,06343.3 %
69,57256.7 %540.0 %
Television actor17,2247,49643.5 %
9,71556.4 %130.1 %
Swimmer9,4664,15243.9 %
5,31456.1 %00.0 %
Artistic gymnast2,5461,15945.5 %
1,38754.5 %00.0 %
Singer48,48022,34246.1 %
26,11153.9 %270.1 %
Badminton player4,4222,10547.6 %
2,31752.4 %00.0 %
Children's writer5,3932,68949.9 %
2,70350.1 %10.0 %
Opera singer5,9222,96050.0 %
2,96150.0 %10.0 %
Announcer2,5041,27150.8 %
1,23349.2 %00.0 %
Volleyball player8,1334,18551.5 %
3,94848.5 %00.0 %
Seiyū4,2402,29754.2 %
1,94345.8 %00.0 %
Figure skater3,0221,64554.4 %
1,37745.6 %00.0 %
Dancer2,5211,58362.8 %
93337.0 %50.2 %
Tarento2,4931,85174.2 %
63525.5 %70.3 %
Pornographic actor2,3951,89078.9 %
48220.1 %231.0 %
Model12,41210,36383.5 %
2,02916.3 %200.2 %
Beauty pageant contestant2,1972,16398.5 %
331.5 %10.0 %