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
All1,805,835300,72316.7 %
1,504,91783.3 %1950.0 %

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 → 16191,659975.8 %total under the threshold of 2000 people1,56294.2 %00.0 %
1620 → 16291,783895.0 %total under the threshold of 2000 people1,69495.0 %00.0 %
1630 → 16391,6151016.3 %total under the threshold of 2000 people1,51393.7 %10.1 %
1640 → 16491,7481126.4 %total under the threshold of 2000 people1,63693.6 %00.0 %
1650 → 16591,7401025.9 %total under the threshold of 2000 people1,63894.1 %00.0 %
1660 → 16691,7491227.0 %total under the threshold of 2000 people1,62793.0 %00.0 %
1670 → 16791,6671046.2 %total under the threshold of 2000 people1,56393.8 %00.0 %
1680 → 16891,908944.9 %total under the threshold of 2000 people1,81395.0 %10.1 %
1690 → 16991,9451045.3 %total under the threshold of 2000 people1,84194.7 %00.0 %
1700 → 17092,2761355.9 %
2,14194.1 %00.0 %
1710 → 17192,6311535.8 %
2,47894.2 %00.0 %
1720 → 17293,2881775.4 %
3,11094.6 %10.0 %
1730 → 17394,1322195.3 %
3,91394.7 %00.0 %
1740 → 17495,3812654.9 %
5,11695.1 %00.0 %
1750 → 17597,5073444.6 %
7,16395.4 %00.0 %
1760 → 17698,0134155.2 %
7,59894.8 %00.0 %
1770 → 17798,6594535.2 %
8,20694.8 %00.0 %
1780 → 17899,2064825.2 %
8,72494.8 %00.0 %
1790 → 179911,6185364.6 %
11,08095.4 %20.0 %
1800 → 180915,6757104.5 %
14,96595.5 %00.0 %
1810 → 181918,8428894.7 %
17,95395.3 %00.0 %
1820 → 182920,5291,0455.1 %
19,48494.9 %00.0 %
1830 → 183922,3301,2785.7 %
21,05194.3 %10.0 %
1840 → 184925,7541,6716.5 %
24,08193.5 %20.0 %
1850 → 185930,2902,2007.3 %
28,08992.7 %10.0 %
1860 → 186938,0613,1318.2 %
34,93091.8 %00.0 %
1870 → 187947,3424,1608.8 %
43,18191.2 %10.0 %
1880 → 188960,3905,0738.4 %
55,31491.6 %30.0 %
1890 → 189969,8696,8389.8 %
63,02990.2 %20.0 %
1900 → 190984,8249,39411.1 %
75,43088.9 %00.0 %
1910 → 191992,20410,99611.9 %
81,20588.1 %30.0 %
1920 → 1929117,56514,86612.6 %
102,69387.3 %60.0 %
1930 → 1939122,17116,53013.5 %
105,63786.5 %40.0 %
1940 → 1949163,16727,20016.7 %
135,95083.3 %170.0 %
1950 → 1959173,17433,47819.3 %
139,67080.7 %260.0 %
1960 → 1969173,44538,91322.4 %
134,50277.5 %300.0 %
1970 → 1979172,37043,96025.5 %
128,37874.5 %320.0 %
1980 → 1989185,64649,01626.4 %
136,58573.6 %450.0 %
1990 → 199990,27424,13226.7 %
66,12673.3 %160.0 %
2000 → 20091,7481,02858.8 %total under the threshold of 2000 people71941.1 %10.1 %
2010 → 2019552545.5 %total under the threshold of 2000 people3054.5 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America295,01450,16517.0 %
244,76483.0 %850.0 %
Germany184,22626,87414.6 %
157,34885.4 %40.0 %
France122,58815,86012.9 %
106,71987.1 %90.0 %
United Kingdom113,78115,06613.2 %
98,70486.7 %110.0 %
Japan74,80619,93226.6 %
54,87073.3 %40.0 %
Italy66,2559,74514.7 %
56,50885.3 %20.0 %
Spain56,7698,38114.8 %
48,37985.2 %90.0 %
Sweden50,90611,61022.8 %
39,29577.2 %10.0 %
Canada46,6138,02217.2 %
38,58882.8 %30.0 %
Kingdom of the Netherlands39,7557,92119.9 %
31,83280.1 %20.0 %
Norway38,6318,14821.1 %
30,48378.9 %00.0 %
Poland36,6396,52317.8 %
30,11582.2 %10.0 %
Australia32,7496,37819.5 %
26,36880.5 %30.0 %
Austria31,0325,22616.8 %
25,80683.2 %00.0 %
Brazil30,7084,93116.1 %
25,77283.9 %50.0 %
Finland29,8805,80519.4 %
24,07580.6 %00.0 %
Belgium25,6953,67614.3 %
22,01785.7 %20.0 %
Russia25,6935,05519.7 %
20,63880.3 %00.0 %
Denmark23,5814,42418.8 %
19,15681.2 %10.0 %
Soviet Union23,1331,9998.6 %
21,13391.4 %10.0 %
Switzerland22,4383,38015.1 %
19,05684.9 %20.0 %
India21,5953,95218.3 %
17,63981.7 %40.0 %
Argentina19,7572,87714.6 %
16,87985.4 %10.0 %
Mexico15,7103,04019.4 %
12,66580.6 %50.0 %
Hungary15,6242,71217.4 %
12,90882.6 %40.0 %
Turkey12,7902,17017.0 %
10,61583.0 %50.0 %
New Zealand12,5832,54020.2 %
10,04079.8 %30.0 %
Czech Republic12,4412,07016.6 %
10,37183.4 %00.0 %
Romania11,2331,94317.3 %
9,28782.7 %30.0 %
People's Republic of China10,9533,53032.2 %
7,42167.8 %20.0 %
Greece10,8381,45413.4 %
9,38286.6 %20.0 %
Kingdom of Italy10,7294924.6 %
10,23795.4 %00.0 %
Ireland9,8411,25012.7 %
8,59087.3 %10.0 %
South Korea9,6602,88929.9 %
6,77070.1 %10.0 %
Portugal9,1841,17612.8 %
8,00887.2 %00.0 %
South Africa8,9431,37215.3 %
7,57184.7 %00.0 %
Iran8,16697612.0 %
7,19088.0 %00.0 %
Ukraine8,1281,50818.6 %
6,61981.4 %10.0 %
Russian Empire7,8926308.0 %
7,26292.0 %00.0 %
Israel7,6631,53120.0 %
6,13080.0 %20.0 %
Slovenia7,6431,65921.7 %
5,98378.3 %10.0 %
Chile7,5501,06814.1 %
6,48185.8 %10.0 %
Bulgaria7,0441,25817.9 %
5,78682.1 %00.0 %
Lithuania7,0331,56522.3 %
5,46877.7 %00.0 %
Czechoslovakia6,38291714.4 %
5,46585.6 %00.0 %
Colombia5,62690916.2 %
4,71683.8 %10.0 %
Serbia5,35797018.1 %
4,38781.9 %00.0 %
Latvia4,77676916.1 %
4,00783.9 %00.0 %
Indonesia4,6971,31628.0 %
3,38172.0 %00.0 %
Uruguay4,57247010.3 %
4,10089.7 %20.0 %
Philippines4,3441,08525.0 %
3,25775.0 %20.0 %
Peru4,17063815.3 %
3,53284.7 %00.0 %
Nigeria4,05463715.7 %
3,41784.3 %00.0 %
Slovakia3,92768917.5 %
3,23882.5 %00.0 %
Venezuela3,73079021.2 %
2,94078.8 %00.0 %
Belarus3,59476421.3 %
2,83078.7 %00.0 %
Estonia3,50172620.7 %
2,77579.3 %00.0 %
Cuba3,48370420.2 %
2,77879.8 %10.0 %
Egypt3,39481524.0 %
2,57976.0 %00.0 %
Croatia3,38056916.8 %
2,81183.2 %00.0 %
Netherlands3,2761805.5 %
3,09694.5 %00.0 %
Pakistan3,11439112.6 %
2,72387.4 %00.0 %
German Empire2,7441174.3 %
2,62795.7 %00.0 %
Thailand2,55657122.3 %
1,98277.5 %30.1 %
United Kingdom of Great Britain and Ireland2,5341114.4 %
2,42395.6 %00.0 %
Luxembourg2,50929511.8 %
2,21488.2 %00.0 %
Malaysia2,50547218.8 %
2,03281.1 %10.0 %
Algeria2,39528812.0 %
2,10788.0 %00.0 %
Tunisia2,29534214.9 %
1,95385.1 %00.0 %
Iceland2,15148322.5 %
1,66877.5 %00.0 %
Albania2,15025611.9 %
1,89488.1 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician244,08125,56010.5 %
218,51289.5 %90.0 %
Association football player176,7637,1454.0 %
169,61796.0 %10.0 %
Actor120,48752,09643.2 %
68,33856.7 %530.0 %
Writer99,46322,26622.4 %
77,17777.6 %200.0 %
Journalist63,99912,26719.2 %
51,72480.8 %80.0 %
University teacher62,5625,0538.1 %
57,50991.9 %00.0 %
Painter51,5898,16815.8 %
43,41784.2 %40.0 %
Singer47,00321,59345.9 %
25,38754.0 %230.0 %
Lawyer41,7293,1697.6 %
38,55792.4 %30.0 %
Composer40,0814,38210.9 %
35,69589.1 %40.0 %
Film actor34,99914,48541.4 %
20,49958.6 %150.0 %
Baseball player27,5563801.4 %
27,17698.6 %00.0 %
Poet25,4325,16220.3 %
20,26579.7 %50.0 %
Screenwriter24,3773,65615.0 %
20,71885.0 %30.0 %
Ice hockey player22,4146883.1 %
21,72696.9 %00.0 %
Film director22,3132,71912.2 %
19,59087.8 %40.0 %
American football player22,079450.2 %
22,03499.8 %00.0 %
Historian21,8031,9999.2 %
19,80490.8 %00.0 %
Athletics competitor21,5267,01932.6 %
14,50467.4 %30.0 %
Musician21,1682,55012.0 %
18,61487.9 %40.0 %
Basketball player20,8123,65017.5 %
17,16082.5 %20.0 %
Architect19,7671,2466.3 %
18,52193.7 %00.0 %
Association football manager19,7552511.3 %
19,50498.7 %00.0 %
Judge19,7111,4097.1 %
18,30292.9 %00.0 %
Cricketer19,1127453.9 %
18,36796.1 %00.0 %
Stage actor18,5887,64441.1 %
10,94258.9 %20.0 %
Author18,3674,00921.8 %
14,35778.2 %10.0 %
Sport cyclist17,1582,16112.6 %
14,99687.4 %10.0 %
Television actor17,1587,47343.6 %
9,67256.4 %130.1 %
Diplomat16,4947934.8 %
15,70095.2 %10.0 %
Military personnel15,109710.5 %
15,03799.5 %10.0 %
Officer14,8351541.0 %
14,68099.0 %10.0 %
Engineer14,3323782.6 %
13,95497.4 %00.0 %
Businessperson14,2061,0277.2 %
13,17892.8 %10.0 %
Physician13,5361,2409.2 %
12,29490.8 %20.0 %
Sculptor13,3551,81113.6 %
11,54486.4 %00.0 %
Novelist13,3435,04837.8 %
8,29362.2 %20.0 %
Economist12,6499667.6 %
11,68392.4 %00.0 %
Model12,27310,25483.5 %
2,00316.3 %160.1 %
Catholic priest12,22720.0 %
12,225100.0 %00.0 %
Songwriter12,1592,54320.9 %
9,61279.1 %40.0 %
Pianist11,7402,43120.7 %
9,30979.3 %00.0 %
Photographer11,0821,99918.0 %
9,07981.9 %40.0 %
Rugby union player11,0713523.2 %
10,71996.8 %00.0 %
Jurist11,0015465.0 %
10,45495.0 %10.0 %
Conductor10,3953343.2 %
10,06196.8 %00.0 %
Translator10,1372,35923.3 %
7,77776.7 %10.0 %
Swimmer8,9853,94643.9 %
5,03956.1 %00.0 %
Theologian8,9702833.2 %
8,68796.8 %00.0 %
Television presenter8,8253,65041.4 %
5,17458.6 %10.0 %
Mathematician8,7325746.6 %
8,15893.4 %00.0 %
Artist8,7112,29726.4 %
6,41073.6 %40.0 %
Film producer8,6261,21814.1 %
7,40685.9 %20.0 %
Boxer8,3234745.7 %
7,84894.3 %10.0 %
Entrepreneur8,1324335.3 %
7,69894.7 %10.0 %
Volleyball player7,9864,09651.3 %
3,89048.7 %00.0 %
Teacher7,9241,70521.5 %
6,21878.5 %10.0 %
Singer-songwriter7,6682,34330.6 %
5,31969.4 %60.1 %
Philosopher7,5045687.6 %
6,93592.4 %10.0 %
Physicist7,3783314.5 %
7,04695.5 %10.0 %
Jazz musician7,31794212.9 %
6,37587.1 %00.0 %
Playwright6,99399114.2 %
6,00185.8 %10.0 %
Botanist6,94085512.3 %
6,08587.7 %00.0 %
Guitarist6,8545558.1 %
6,29891.9 %10.0 %
Priest6,7701291.9 %
6,64198.1 %00.0 %
Chemist6,7564526.7 %
6,30493.3 %00.0 %
Record producer6,5313435.3 %
6,18694.7 %20.0 %
Rower6,2211,54624.9 %
4,67575.1 %00.0 %
Tennis player6,1652,53741.2 %
3,62758.8 %10.0 %
Opera singer5,8232,90349.9 %
2,91950.1 %10.0 %
Music educator5,6791,33623.5 %
4,34376.5 %00.0 %
Handball player5,6402,09037.1 %
3,55062.9 %00.0 %
Linguist5,58065211.7 %
4,92888.3 %00.0 %
Children's writer5,3542,66049.7 %
2,69350.3 %10.0 %
Literary critic5,29868713.0 %
4,61187.0 %00.0 %
Professor5,05696419.1 %
4,09080.9 %20.0 %
Trade unionist5,01164812.9 %
4,36387.1 %00.0 %
Archaeologist4,88958512.0 %
4,30488.0 %00.0 %
Musicologist4,6673788.1 %
4,28991.9 %00.0 %
Educationalist4,62860813.1 %
4,02086.9 %00.0 %
Amateur wrestler4,6094289.3 %
4,18190.7 %00.0 %
Illustrator4,5781,08523.7 %
3,49376.3 %00.0 %
Banker4,5751222.7 %
4,45297.3 %10.0 %
Radio personality4,54583118.3 %
3,71381.7 %10.0 %
Art historian4,54080717.8 %
3,73382.2 %00.0 %
Voice actor4,3051,56436.3 %
2,74063.6 %10.0 %
Farmer4,2801543.6 %
4,12696.4 %00.0 %
Psychologist4,27898223.0 %
3,29477.0 %20.0 %
Badminton player4,2672,01247.2 %
2,25552.8 %00.0 %
Rugby league player4,24640.1 %
4,24299.9 %00.0 %
Seiyū4,1982,29454.6 %
1,90445.4 %00.0 %
Basketball coach4,1642796.7 %
3,88593.3 %00.0 %
Sportsperson4,15394122.7 %
3,21277.3 %00.0 %
Anthropologist4,09066516.3 %
3,42583.7 %00.0 %
Fencer4,07098924.3 %
3,08175.7 %00.0 %
Chess player4,04969317.1 %
3,35582.9 %10.0 %
Sociologist4,01964816.1 %
3,37083.9 %10.0 %
Non-fiction writer3,78450213.3 %
3,28286.7 %00.0 %
Publisher3,7542556.8 %
3,49993.2 %00.0 %
Racecar driver3,6451373.8 %
3,50796.2 %10.0 %
Science fiction writer3,47959517.1 %
2,88482.9 %00.0 %
Golfer3,38466019.5 %
2,72480.5 %00.0 %
Comics artist3,1982558.0 %
2,94392.0 %00.0 %
Computer scientist3,1832507.9 %
2,93292.1 %10.0 %
Astronomer3,0732397.8 %
2,83392.2 %10.0 %
Figure skater2,9841,62554.5 %
1,35945.5 %00.0 %
Librarian2,97851417.3 %
2,46482.7 %00.0 %
Editor2,95037212.6 %
2,57887.4 %00.0 %
Canoer2,94662321.1 %
2,32378.9 %00.0 %
Surgeon2,9241083.7 %
2,81496.2 %20.1 %
Sprinter2,8511,12739.5 %
1,72260.4 %20.1 %
Alpine skier2,8331,14440.4 %
1,68959.6 %00.0 %
Professional wrestler2,82756019.8 %
2,26780.2 %00.0 %
Choreographer2,8221,12539.9 %
1,69460.0 %30.1 %
Field hockey player2,7921,01536.4 %
1,77763.6 %00.0 %
Cinematographer2,7691274.6 %
2,64295.4 %00.0 %
Judoka2,68090433.7 %
1,77666.3 %00.0 %
Zoologist2,6682047.6 %
2,46492.4 %00.0 %
Explorer2,6471184.5 %
2,52995.5 %00.0 %
Australian rules footballer2,582130.5 %
2,56999.5 %00.0 %
Director2,53844117.4 %
2,09682.6 %10.0 %
Biathlete2,53198739.0 %
1,54461.0 %00.0 %
Theatre director2,53036514.4 %
2,16585.6 %00.0 %
Artistic gymnast2,5201,15946.0 %
1,36154.0 %00.0 %
Saxophonist2,4711265.1 %
2,34594.9 %00.0 %
Biographer2,44056223.0 %
1,87877.0 %00.0 %
Tarento2,4321,81174.5 %
61925.5 %20.1 %
Geologist2,4261084.5 %
2,31895.5 %00.0 %
Sport shooter2,42449720.5 %
1,92779.5 %00.0 %
Dancer2,4221,51662.6 %
90237.2 %40.2 %
Biologist2,41038616.0 %
2,02484.0 %00.0 %
Announcer2,3491,20551.3 %
1,14448.7 %00.0 %
Comedian2,31947820.6 %
1,83879.3 %30.1 %
Soldier2,317311.3 %
2,28598.6 %10.0 %
Pornographic actor2,2991,80478.5 %
47620.7 %190.8 %
Psychiatrist2,28524410.7 %
2,04189.3 %00.0 %
Entomologist2,211773.5 %
2,13496.5 %00.0 %
Aviator2,1732099.6 %
1,96490.4 %00.0 %
Essayist2,17357726.6 %
1,59673.4 %00.0 %
Mangaka2,17370532.4 %
1,46867.6 %00.0 %
Association football referee2,1581014.7 %
2,05795.3 %00.0 %
Beauty pageant contestant2,1532,12098.5 %
331.5 %00.0 %
Political scientist2,1232019.5 %
1,92290.5 %00.0 %
Motorcycle racer2,062412.0 %
2,02198.0 %00.0 %
Disc jockey2,0511648.0 %
1,88692.0 %10.0 %
Rapper2,0251748.6 %
1,85091.4 %10.0 %
Racing driver2,004623.1 %
1,94296.9 %00.0 %