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
All1,759,813290,82816.5 %
1,468,82583.5 %1600.0 %

Gender Gap by year of birth

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16091,558825.3 %total under the threshold of 2000 people1,47694.7 %00.0 %
1610 → 16191,630955.8 %total under the threshold of 2000 people1,53594.2 %00.0 %
1620 → 16291,755864.9 %total under the threshold of 2000 people1,66995.1 %00.0 %
1630 → 16391,5861006.3 %total under the threshold of 2000 people1,48693.7 %00.0 %
1640 → 16491,7071066.2 %total under the threshold of 2000 people1,60193.8 %00.0 %
1650 → 16591,7041005.9 %total under the threshold of 2000 people1,60494.1 %00.0 %
1660 → 16691,7181247.2 %total under the threshold of 2000 people1,59492.8 %00.0 %
1670 → 16791,6381026.2 %total under the threshold of 2000 people1,53693.8 %00.0 %
1680 → 16891,868904.8 %total under the threshold of 2000 people1,77795.1 %10.1 %
1690 → 16991,8971015.3 %total under the threshold of 2000 people1,79694.7 %00.0 %
1700 → 17092,2381346.0 %
2,10494.0 %00.0 %
1710 → 17192,5731505.8 %
2,42394.2 %00.0 %
1720 → 17293,2221715.3 %
3,05094.7 %10.0 %
1730 → 17394,0522175.4 %
3,83594.6 %00.0 %
1740 → 17495,2622544.8 %
5,00895.2 %00.0 %
1750 → 17597,3193274.5 %
6,99295.5 %00.0 %
1760 → 17697,8674055.1 %
7,46294.9 %00.0 %
1770 → 17798,4644435.2 %
8,02194.8 %00.0 %
1780 → 17898,9994645.2 %
8,53594.8 %00.0 %
1790 → 179911,3905164.5 %
10,87295.5 %20.0 %
1800 → 180915,3986824.4 %
14,71695.6 %00.0 %
1810 → 181918,3998414.6 %
17,55895.4 %00.0 %
1820 → 182920,0461,0045.0 %
19,04295.0 %00.0 %
1830 → 183921,7731,2125.6 %
20,56194.4 %00.0 %
1840 → 184925,0971,5996.4 %
23,49693.6 %20.0 %
1850 → 185929,5052,0867.1 %
27,41992.9 %00.0 %
1860 → 186936,9843,0208.2 %
33,96491.8 %00.0 %
1870 → 187945,8723,9488.6 %
41,92491.4 %00.0 %
1880 → 188958,3104,8158.3 %
53,49491.7 %10.0 %
1890 → 189967,4836,5199.7 %
60,96290.3 %20.0 %
1900 → 190982,4909,04111.0 %
73,44989.0 %00.0 %
1910 → 191989,65010,59411.8 %
79,05688.2 %00.0 %
1920 → 1929114,67214,33112.5 %
100,33787.5 %40.0 %
1930 → 1939119,02815,93913.4 %
103,08586.6 %40.0 %
1940 → 1949159,39126,37016.5 %
133,00683.4 %150.0 %
1950 → 1959169,02732,48919.2 %
136,51680.8 %220.0 %
1960 → 1969169,30237,76722.3 %
131,50677.7 %290.0 %
1970 → 1979168,62242,77825.4 %
125,81774.6 %270.0 %
1980 → 1989182,09847,66226.2 %
134,39873.8 %380.0 %
1990 → 199986,62223,12226.7 %
63,48873.3 %120.0 %
2000 → 20091,54391859.5 %total under the threshold of 2000 people62540.5 %00.0 %
2010 → 2019542444.4 %total under the threshold of 2000 people3055.6 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America291,55949,30216.9 %
242,18183.1 %760.0 %
Germany184,62626,95214.6 %
157,67185.4 %30.0 %
France120,97015,43412.8 %
105,52987.2 %70.0 %
United Kingdom110,93714,39213.0 %
96,53687.0 %90.0 %
Japan68,78318,48326.9 %
50,29873.1 %20.0 %
Italy64,8759,50914.7 %
55,36485.3 %20.0 %
Spain53,7727,94414.8 %
45,82185.2 %70.0 %
Sweden49,72911,38522.9 %
38,34377.1 %10.0 %
Canada46,1307,91417.2 %
38,21582.8 %10.0 %
Kingdom of the Netherlands39,1177,73319.8 %
31,38280.2 %20.0 %
Poland35,8576,35317.7 %
29,50382.3 %10.0 %
Norway35,8027,38820.6 %
28,41479.4 %00.0 %
Australia32,3496,30419.5 %
26,04280.5 %30.0 %
Austria30,4385,11316.8 %
25,32583.2 %00.0 %
Brazil29,7474,75116.0 %
24,99184.0 %50.0 %
Finland29,0125,64519.5 %
23,36780.5 %00.0 %
Belgium25,3253,60114.2 %
21,72385.8 %10.0 %
Russia25,0834,99019.9 %
20,09380.1 %00.0 %
Denmark23,3374,36518.7 %
18,97181.3 %10.0 %
Soviet Union22,8991,9568.5 %
20,94391.5 %00.0 %
Switzerland21,9823,24414.8 %
18,73685.2 %20.0 %
India21,0723,85418.3 %
17,21481.7 %40.0 %
Argentina19,5282,82614.5 %
16,70185.5 %10.0 %
Mexico15,5653,00219.3 %
12,55880.7 %50.0 %
Hungary15,0682,58017.1 %
12,48782.9 %10.0 %
New Zealand12,4952,52220.2 %
9,97079.8 %30.0 %
Turkey12,0002,08417.4 %
9,91282.6 %40.0 %
Czech Republic11,7441,94816.6 %
9,79683.4 %00.0 %
Romania11,0101,91117.4 %
9,09882.6 %10.0 %
Kingdom of Italy10,7144914.6 %
10,22395.4 %00.0 %
Greece10,5741,43913.6 %
9,13386.4 %20.0 %
People's Republic of China10,5163,46833.0 %
7,04767.0 %10.0 %
Ireland9,6961,22412.6 %
8,47187.4 %10.0 %
Portugal8,8801,12512.7 %
7,75587.3 %00.0 %
South Africa8,8541,34915.2 %
7,50584.8 %00.0 %
South Korea8,8212,73731.0 %
6,08469.0 %00.0 %
Iran8,06795511.8 %
7,11288.2 %00.0 %
Ukraine7,7361,42218.4 %
6,31381.6 %10.0 %
Slovenia7,6351,65021.6 %
5,98478.4 %10.0 %
Russian Empire7,4245958.0 %
6,82992.0 %00.0 %
Chile7,4191,04714.1 %
6,37185.9 %10.0 %
Israel7,0341,42420.2 %
5,60979.7 %10.0 %
Bulgaria6,6771,18217.7 %
5,49582.3 %00.0 %
Czechoslovakia6,31791314.5 %
5,40485.5 %00.0 %
Colombia5,49289116.2 %
4,60083.8 %10.0 %
Serbia5,27196318.3 %
4,30881.7 %00.0 %
Uruguay4,53046810.3 %
4,06089.6 %20.0 %
Indonesia4,4951,26128.1 %
3,23471.9 %00.0 %
Philippines4,2851,06724.9 %
3,21675.1 %20.0 %
Latvia4,25973917.4 %
3,52082.6 %00.0 %
Peru4,09761214.9 %
3,48585.1 %00.0 %
Nigeria4,00163015.7 %
3,37184.3 %00.0 %
Slovakia3,69865117.6 %
3,04782.4 %00.0 %
Lithuania3,66158816.1 %
3,07383.9 %00.0 %
Venezuela3,65376721.0 %
2,88679.0 %00.0 %
Cuba3,43669620.3 %
2,73979.7 %10.0 %
Estonia3,41970920.7 %
2,71079.3 %00.0 %
Belarus3,34968720.5 %
2,66279.5 %00.0 %
Egypt3,29577323.5 %
2,52276.5 %00.0 %
Netherlands3,2911805.5 %
3,11194.5 %00.0 %
Croatia3,24955817.2 %
2,69182.8 %00.0 %
Pakistan3,05538712.7 %
2,66887.3 %00.0 %
German Empire2,7251174.3 %
2,60895.7 %00.0 %
Luxembourg2,49529511.8 %
2,20088.2 %00.0 %
Thailand2,48755422.3 %
1,93177.6 %20.1 %
Malaysia2,48446918.9 %
2,01481.1 %10.0 %
United Kingdom of Great Britain and Ireland2,405954.0 %
2,31096.0 %00.0 %
Algeria2,36526611.2 %
2,09988.8 %00.0 %
Tunisia2,21233315.1 %
1,87984.9 %00.0 %
Iceland2,13547822.4 %
1,65777.6 %00.0 %
Albania2,08423111.1 %
1,85388.9 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician236,44424,77810.5 %
211,65789.5 %90.0 %
Association football player174,4097,0344.0 %
167,37596.0 %00.0 %
Actor117,03450,72343.3 %
66,27156.6 %400.0 %
Writer97,16021,67422.3 %
75,47077.7 %160.0 %
Journalist62,66912,00219.2 %
50,66080.8 %70.0 %
University teacher61,9454,9087.9 %
57,03792.1 %00.0 %
Painter50,3987,88915.7 %
42,50584.3 %40.0 %
Singer45,89021,13346.1 %
24,73953.9 %180.0 %
Lawyer41,0203,0967.5 %
37,92192.4 %30.0 %
Composer39,4704,31410.9 %
35,15389.1 %30.0 %
Baseball player27,2643711.4 %
26,89398.6 %00.0 %
Film actor25,4309,69738.1 %
15,72461.8 %90.0 %
Poet24,7044,99420.2 %
19,70779.8 %30.0 %
Screenwriter24,0763,57214.8 %
20,50185.2 %30.0 %
Ice hockey player22,2316803.1 %
21,55196.9 %00.0 %
Film director21,9822,64412.0 %
19,33387.9 %50.0 %
American football player21,853440.2 %
21,80999.8 %00.0 %
Historian21,1681,9189.1 %
19,24990.9 %10.0 %
Athletics competitor21,0686,84532.5 %
14,22067.5 %30.0 %
Musician20,2882,33311.5 %
17,95388.5 %20.0 %
Basketball player19,7143,27416.6 %
16,43983.4 %10.0 %
Association football manager19,4942481.3 %
19,24698.7 %00.0 %
Judge19,4781,3887.1 %
18,09092.9 %00.0 %
Architect19,2961,1556.0 %
18,14194.0 %00.0 %
Cricketer19,0017423.9 %
18,25996.1 %00.0 %
Author18,1253,93121.7 %
14,19378.3 %10.0 %
Television actor16,9557,39943.6 %
9,54356.3 %130.1 %
Sport cyclist16,5522,12912.9 %
14,42387.1 %00.0 %
Diplomat16,1627654.7 %
15,39695.3 %10.0 %
Stage actor15,6906,31940.3 %
9,36959.7 %20.0 %
Military personnel14,837710.5 %
14,76599.5 %10.0 %
Officer14,4671521.1 %
14,31498.9 %10.0 %
Engineer13,9983722.7 %
13,62697.3 %00.0 %
Sculptor13,1041,76613.5 %
11,33886.5 %00.0 %
Physician12,7901,1749.2 %
11,61490.8 %20.0 %
Economist12,3769297.5 %
11,44792.5 %00.0 %
Businessperson12,2448597.0 %
11,38493.0 %10.0 %
Model12,08710,10383.6 %
1,97116.3 %130.1 %
Songwriter11,9552,49120.8 %
9,46079.1 %40.0 %
Novelist11,8744,50537.9 %
7,36762.0 %20.0 %
Catholic priest11,70020.0 %
11,698100.0 %00.0 %
Pianist11,5652,37520.5 %
9,19079.5 %00.0 %
Rugby union player11,0323483.2 %
10,68496.8 %00.0 %
Jurist10,7945244.9 %
10,27095.1 %00.0 %
Photographer10,7841,94318.0 %
8,83781.9 %40.0 %
Conductor10,2603303.2 %
9,93096.8 %00.0 %
Translator9,7402,25623.2 %
7,48476.8 %00.0 %
Theologian8,8822753.1 %
8,60796.9 %00.0 %
Swimmer8,8423,91944.3 %
4,92355.7 %00.0 %
Television presenter8,6603,57941.3 %
5,08158.7 %00.0 %
Film producer8,5011,19114.0 %
7,30886.0 %20.0 %
Mathematician8,4595496.5 %
7,91093.5 %00.0 %
Artist8,4472,17925.8 %
6,26474.2 %40.0 %
Boxer8,2784735.7 %
7,80494.3 %10.0 %
Entrepreneur8,0014205.2 %
7,58194.8 %00.0 %
Volleyball player7,9624,08151.3 %
3,88148.7 %00.0 %
Singer-songwriter7,5702,30430.4 %
5,26069.5 %60.1 %
Teacher7,3661,55521.1 %
5,81078.9 %10.0 %
Philosopher7,3495567.6 %
6,79292.4 %10.0 %
Jazz musician7,30093912.9 %
6,36187.1 %00.0 %
Physicist7,0403054.3 %
6,73495.7 %10.0 %
Playwright6,80695314.0 %
5,85286.0 %10.0 %
Guitarist6,7925518.1 %
6,24091.9 %10.0 %
Botanist6,72581612.1 %
5,90987.9 %00.0 %
Priest6,5591292.0 %
6,43098.0 %00.0 %
Record producer6,4153415.3 %
6,07294.7 %20.0 %
Chemist6,2094016.5 %
5,80893.5 %00.0 %
Rower6,1971,54224.9 %
4,65575.1 %00.0 %
Tennis player6,0952,49741.0 %
3,59759.0 %10.0 %
Opera singer5,7722,87749.8 %
2,89450.1 %10.0 %
Music educator5,6191,33123.7 %
4,28876.3 %00.0 %
Handball player5,6042,07036.9 %
3,53463.1 %00.0 %
Linguist5,49463911.6 %
4,85588.4 %00.0 %
Children's writer5,3172,63849.6 %
2,67850.4 %10.0 %
Literary critic5,22967212.9 %
4,55787.1 %00.0 %
Trade unionist4,89862712.8 %
4,27187.2 %00.0 %
Professor4,89191618.7 %
3,97381.2 %20.0 %
Archaeologist4,78255911.7 %
4,22388.3 %00.0 %
Musicologist4,6293698.0 %
4,26092.0 %00.0 %
Amateur wrestler4,5574219.2 %
4,13690.8 %00.0 %
Radio personality4,50282318.3 %
3,67881.7 %10.0 %
Art historian4,49080017.8 %
3,69082.2 %00.0 %
Banker4,4561232.8 %
4,33397.2 %00.0 %
Educationist4,42757112.9 %
3,85687.1 %00.0 %
Illustrator4,3401,02923.7 %
3,31176.3 %00.0 %
Voice actor4,2701,57036.8 %
2,69963.2 %10.0 %
Badminton player4,2021,97246.9 %
2,23053.1 %00.0 %
Rugby league player4,19540.1 %
4,19199.9 %00.0 %
Psychologist4,18194622.6 %
3,23377.3 %20.0 %
Seiyū4,1602,29155.1 %
1,86944.9 %00.0 %
Basketball coach4,1412786.7 %
3,86393.3 %00.0 %
Farmer4,1241493.6 %
3,97596.4 %00.0 %
Anthropologist4,06165416.1 %
3,40783.9 %00.0 %
Fencer4,04497724.2 %
3,06775.8 %00.0 %
Sportsperson4,02689722.3 %
3,12977.7 %00.0 %
Chess player3,98668617.2 %
3,29982.8 %10.0 %
Sociologist3,95563015.9 %
3,32484.0 %10.0 %
Non-fiction writer3,72648413.0 %
3,24287.0 %00.0 %
Publisher3,7002526.8 %
3,44893.2 %00.0 %
Racecar driver3,5471323.7 %
3,41496.3 %10.0 %
Science fiction writer3,47359317.1 %
2,88082.9 %00.0 %
Golfer3,38465519.4 %
2,72980.6 %00.0 %
Computer scientist3,1392437.7 %
2,89592.2 %10.0 %
Comics artist3,1292477.9 %
2,88292.1 %00.0 %
Astronomer3,0112367.8 %
2,77492.1 %10.0 %
Figure skater2,9481,60554.4 %
1,34345.6 %00.0 %
Canoer2,94062521.3 %
2,31578.7 %00.0 %
Librarian2,85248517.0 %
2,36783.0 %00.0 %
Editor2,84335012.3 %
2,49387.7 %00.0 %
Sprinter2,8421,12339.5 %
1,71760.4 %20.1 %
Alpine skier2,8171,13940.4 %
1,67859.6 %00.0 %
Field hockey player2,75899936.2 %
1,75963.8 %00.0 %
Choreographer2,7351,07439.3 %
1,65860.6 %30.1 %
Cinematographer2,6911194.4 %
2,57295.6 %00.0 %
Explorer2,6151164.4 %
2,49995.6 %00.0 %
Judoka2,59087433.7 %
1,71666.3 %00.0 %
Biathlete2,53198739.0 %
1,54461.0 %00.0 %
Australian rules footballer2,51780.3 %
2,50999.7 %00.0 %
Artistic gymnast2,5151,15345.8 %
1,36254.2 %00.0 %
Saxophonist2,4581255.1 %
2,33394.9 %00.0 %
Director2,45742517.3 %
2,03182.7 %10.0 %
Theatre director2,43735114.4 %
2,08685.6 %00.0 %
Zoologist2,4341717.0 %
2,26393.0 %00.0 %
Biographer2,40955122.9 %
1,85877.1 %00.0 %
Sport shooter2,39648120.1 %
1,91579.9 %00.0 %
Dancer2,3031,44162.6 %
85937.3 %30.1 %
Pornographic actor2,2931,80278.6 %
47420.7 %170.7 %
Tarento2,2851,70574.6 %
57825.3 %20.1 %
Soldier2,242291.3 %
2,21398.7 %00.0 %
Biologist2,23634015.2 %
1,89684.8 %00.0 %
Psychiatrist2,23423910.7 %
1,99589.3 %00.0 %
Comedian2,22046320.9 %
1,75479.0 %30.1 %
Beauty pageant contestant2,1202,08798.4 %
331.6 %00.0 %
Professional wrestler2,11144921.3 %
1,66278.7 %00.0 %
Entomologist2,089653.1 %
2,02496.9 %00.0 %
Essayist2,07056627.3 %
1,50472.7 %00.0 %
Announcer2,0511,03550.5 %
1,01649.5 %00.0 %
Motorcycle racer2,039412.0 %
1,99898.0 %00.0 %
Association football referee2,0381015.0 %
1,93795.0 %00.0 %
Political scientist2,0291929.5 %
1,83790.5 %00.0 %
Disc jockey2,0261628.0 %
1,86492.0 %00.0 %