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
All1,885,491316,67016.8 %
1,568,58383.2 %2380.0 %

Gender Gap by year of birth

Years of birthTotalFemales% FemalesGapMales% MalesOthers% Others
1600 → 16091,653895.4 %total under the threshold of 2000 people1,56494.6 %00.0 %
1610 → 16191,7461046.0 %total under the threshold of 2000 people1,64294.0 %00.0 %
1620 → 16291,862975.2 %total under the threshold of 2000 people1,76594.8 %00.0 %
1630 → 16391,690995.9 %total under the threshold of 2000 people1,59194.1 %00.0 %
1640 → 16491,8181186.5 %total under the threshold of 2000 people1,70093.5 %00.0 %
1650 → 16591,8291106.0 %total under the threshold of 2000 people1,71994.0 %00.0 %
1660 → 16691,8471327.1 %total under the threshold of 2000 people1,71592.9 %00.0 %
1670 → 16791,7411056.0 %total under the threshold of 2000 people1,63694.0 %00.0 %
1680 → 16891,9881035.2 %total under the threshold of 2000 people1,88494.8 %10.1 %
1690 → 16992,0331105.4 %
1,92394.6 %00.0 %
1700 → 17092,3861395.8 %
2,24794.2 %00.0 %
1710 → 17192,7761585.7 %
2,61894.3 %00.0 %
1720 → 17293,4961885.4 %
3,30794.6 %10.0 %
1730 → 17394,3892215.0 %
4,16895.0 %00.0 %
1740 → 17495,7112764.8 %
5,43595.2 %00.0 %
1750 → 17597,7203504.5 %
7,37095.5 %00.0 %
1760 → 17698,2464315.2 %
7,81594.8 %00.0 %
1770 → 17798,8844685.3 %
8,41694.7 %00.0 %
1780 → 17899,4894915.2 %
8,99894.8 %00.0 %
1790 → 179911,9945514.6 %
11,44195.4 %20.0 %
1800 → 180916,2027414.6 %
15,46195.4 %00.0 %
1810 → 181919,3879234.8 %
18,46495.2 %00.0 %
1820 → 182921,3011,1145.2 %
20,18794.8 %00.0 %
1830 → 183923,1441,3675.9 %
21,77694.1 %10.0 %
1840 → 184926,6711,7676.6 %
24,90293.4 %20.0 %
1850 → 185931,3052,3197.4 %
28,98592.6 %10.0 %
1860 → 186939,4543,2998.4 %
36,15591.6 %00.0 %
1870 → 187948,9144,3498.9 %
44,56591.1 %00.0 %
1880 → 188962,4805,3008.5 %
57,17791.5 %30.0 %
1890 → 189972,8687,1449.8 %
65,72290.2 %20.0 %
1900 → 190990,00510,00511.1 %
79,99988.9 %10.0 %
1910 → 191997,79011,63411.9 %
86,15588.1 %10.0 %
1920 → 1929123,72215,75212.7 %
107,96487.3 %60.0 %
1930 → 1939127,54117,44913.7 %
110,08686.3 %60.0 %
1940 → 1949169,06128,37716.8 %
140,66583.2 %190.0 %
1950 → 1959179,80335,02819.5 %
144,74780.5 %280.0 %
1960 → 1969180,16040,78122.6 %
139,33877.3 %410.0 %
1970 → 1979179,14745,98025.7 %
133,12474.3 %430.0 %
1980 → 1989192,66051,39526.7 %
141,20673.3 %590.0 %
1990 → 199998,35326,33326.8 %
71,99973.2 %210.0 %
2000 → 20092,1791,25157.4 %
92842.6 %00.0 %
2010 → 2019462247.8 %total under the threshold of 2000 people2452.2 %00.0 %

Gender Gap by country of citizenship

Country ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
United States of America301,87052,25217.3 %
249,52182.7 %970.0 %
Germany185,94127,20014.6 %
158,73785.4 %40.0 %
France125,86116,55813.2 %
109,29486.8 %90.0 %
United Kingdom114,33315,54613.6 %
98,77586.4 %120.0 %
Japan85,38521,21424.8 %
64,14575.1 %260.0 %
Italy66,4769,88614.9 %
56,58685.1 %40.0 %
Spain64,8029,80915.1 %
54,98584.9 %80.0 %
Sweden51,90811,81422.8 %
40,09277.2 %20.0 %
Canada47,5448,36417.6 %
39,17782.4 %30.0 %
Kingdom of the Netherlands40,9458,23020.1 %
32,71379.9 %20.0 %
Norway39,3048,36821.3 %
30,93678.7 %00.0 %
Poland38,0686,70717.6 %
31,36082.4 %10.0 %
Australia33,7606,77620.1 %
26,98179.9 %30.0 %
Austria32,1825,51317.1 %
26,66982.9 %00.0 %
Finland31,9226,19519.4 %
25,72780.6 %00.0 %
Brazil31,9025,08115.9 %
26,81484.1 %70.0 %
Russia28,4825,02117.6 %
23,46182.4 %00.0 %
Belgium26,1563,78914.5 %
22,36585.5 %20.0 %
Denmark23,9704,52618.9 %
19,44381.1 %10.0 %
Soviet Union23,7592,0928.8 %
21,66791.2 %00.0 %
Switzerland23,5593,58315.2 %
19,97484.8 %20.0 %
India21,8854,24019.4 %
17,64180.6 %40.0 %
Argentina21,2203,17114.9 %
18,04485.0 %50.0 %
Hungary16,8282,94717.5 %
13,87782.5 %40.0 %
Mexico16,6403,34320.1 %
13,29079.9 %70.0 %
Turkey13,7102,28416.7 %
11,42083.3 %60.0 %
New Zealand12,9762,71020.9 %
10,26379.1 %30.0 %
Czech Republic12,8972,17316.8 %
10,72483.2 %00.0 %
Romania11,8002,06017.5 %
9,73982.5 %10.0 %
People's Republic of China11,7523,64131.0 %
8,10969.0 %20.0 %
South Korea11,6473,59430.9 %
8,05369.1 %00.0 %
Kingdom of Italy11,4775284.6 %
10,94995.4 %00.0 %
Greece11,3231,51013.3 %
9,81186.6 %20.0 %
Israel10,1572,01119.8 %
8,14380.2 %30.0 %
Ireland10,0511,31913.1 %
8,73186.9 %10.0 %
Portugal9,8951,28913.0 %
8,60687.0 %00.0 %
Russian Empire9,4517057.5 %
8,74692.5 %00.0 %
Ukraine9,3251,59117.1 %
7,73482.9 %00.0 %
Iran9,2051,11812.1 %
8,08787.9 %00.0 %
South Africa9,1771,44615.8 %
7,73184.2 %00.0 %
Chile8,9591,32914.8 %
7,62885.1 %20.0 %
Bulgaria7,9671,43418.0 %
6,53382.0 %00.0 %
Lithuania7,0611,57722.3 %
5,48477.7 %00.0 %
Czechoslovakia6,59395714.5 %
5,63685.5 %00.0 %
Colombia6,4611,05716.4 %
5,40383.6 %10.0 %
Serbia5,5111,01218.4 %
4,49981.6 %00.0 %
Estonia5,3221,35725.5 %
3,96574.5 %00.0 %
Indonesia5,1751,44027.8 %
3,73572.2 %00.0 %
Uruguay4,95153210.7 %
4,41889.2 %10.0 %
Latvia4,80977216.1 %
4,03783.9 %00.0 %
Philippines4,6261,16925.3 %
3,45474.7 %30.1 %
Venezuela4,35694921.8 %
3,40778.2 %00.0 %
Peru4,30267415.7 %
3,62884.3 %00.0 %
Nigeria4,26371816.8 %
3,54583.2 %00.0 %
Slovakia4,01270717.6 %
3,30582.4 %00.0 %
Egypt3,87192723.9 %
2,94476.1 %00.0 %
Cuba3,83880921.1 %
3,02878.9 %10.0 %
Belarus3,70680621.7 %
2,90078.3 %00.0 %
Croatia3,52360317.1 %
2,92082.9 %00.0 %
Pakistan3,34841712.5 %
2,93187.5 %00.0 %
Luxembourg3,32540612.2 %
2,91887.8 %10.0 %
Netherlands3,2681805.5 %
3,08894.5 %00.0 %
United Kingdom of Great Britain and Ireland3,0991504.8 %
2,94995.2 %00.0 %
Thailand2,82964822.9 %
2,17777.0 %40.1 %
German Empire2,7631194.3 %
2,64495.7 %00.0 %
Malaysia2,65651419.4 %
2,14180.6 %10.0 %
Algeria2,50129511.8 %
2,20688.2 %00.0 %
Tunisia2,39736715.3 %
2,03084.7 %00.0 %
Iceland2,24450222.4 %
1,74277.6 %00.0 %
Albania2,22628212.7 %
1,94487.3 %00.0 %
Saudi Arabia2,1681105.1 %
2,05894.9 %00.0 %
Austria-Hungary2,1441728.0 %
1,97292.0 %00.0 %
Slovenia2,12850223.6 %
1,62676.4 %00.0 %
Morocco2,08029714.3 %
1,78385.7 %00.0 %
Ecuador2,03331515.5 %
1,71884.5 %00.0 %

Gender Gap by occupation

Occupation ▴Total ▾Females ▾% Fem. ▾GapMales ▾% Mal. ▾Others ▾% Oth. ▾
Politician252,77226,64410.5 %
226,11589.5 %130.0 %
Association football player180,1917,2694.0 %
172,92296.0 %00.0 %
Actor120,22152,15743.4 %
68,01056.6 %540.0 %
Writer106,51027,29625.6 %
79,19174.4 %230.0 %
Journalist66,31412,85519.4 %
53,44980.6 %100.0 %
University teacher63,5465,2498.3 %
58,29791.7 %00.0 %
Painter53,5998,52215.9 %
45,07384.1 %40.0 %
Singer49,55322,74245.9 %
26,78254.0 %290.1 %
Lawyer42,8353,3077.7 %
39,52592.3 %30.0 %
Composer41,1894,53411.0 %
36,64989.0 %60.0 %
Film actor35,25214,60541.4 %
20,63158.5 %160.0 %
Baseball player27,6993831.4 %
27,31698.6 %00.0 %
Poet26,5805,56420.9 %
21,01179.0 %50.0 %
Screenwriter24,9413,78015.2 %
21,15784.8 %40.0 %
American football player23,843480.2 %
23,79599.8 %00.0 %
Athletics competitor23,2557,50832.3 %
15,74467.7 %30.0 %
Film director23,1652,86812.4 %
20,29387.6 %40.0 %
Historian22,9812,1509.4 %
20,83190.6 %00.0 %
Ice hockey player22,6396993.1 %
21,94096.9 %00.0 %
Musician22,3002,68612.0 %
19,60987.9 %50.0 %
Basketball player21,7303,77217.4 %
17,95782.6 %10.0 %
Architect20,5261,3176.4 %
19,20993.6 %00.0 %
Judge20,0311,4607.3 %
18,57192.7 %00.0 %
Association football manager19,7132541.3 %
19,45998.7 %00.0 %
Cricketer19,4647964.1 %
18,66895.9 %00.0 %
Stage actor18,8267,75941.2 %
11,06358.8 %40.0 %
Author18,7674,13922.1 %
14,62677.9 %20.0 %
Sport cyclist18,0072,31212.8 %
15,69387.1 %20.0 %
Television actor17,3467,58243.7 %
9,75056.2 %140.1 %
Diplomat17,1398665.1 %
16,27294.9 %10.0 %
Military personnel17,002850.5 %
16,91599.5 %20.0 %
Military officer15,6391611.0 %
15,47799.0 %10.0 %
Businessperson14,9791,1217.5 %
13,85692.5 %20.0 %
Engineer14,7484032.7 %
14,34597.3 %00.0 %
Physician14,5291,3389.2 %
13,18990.8 %20.0 %
Novelist14,2065,34737.6 %
8,85662.3 %30.0 %
Sculptor13,8971,93613.9 %
11,96186.1 %00.0 %
Economist13,0321,0027.7 %
12,03092.3 %00.0 %
Model12,50410,43083.4 %
2,05216.4 %220.2 %
Songwriter12,4912,60820.9 %
9,88079.1 %30.0 %
Catholic priest12,48820.0 %
12,486100.0 %00.0 %
Pianist11,9202,50621.0 %
9,41379.0 %10.0 %
Photographer11,6612,14918.4 %
9,50881.5 %40.0 %
Translator11,5732,68723.2 %
8,88476.8 %20.0 %
Rugby union player11,2313713.3 %
10,86096.7 %00.0 %
Jurist11,0935525.0 %
10,54195.0 %00.0 %
Conductor10,5053503.3 %
10,15496.7 %10.0 %
Swimmer9,6064,22644.0 %
5,38056.0 %00.0 %
Television presenter9,4893,94341.6 %
5,54458.4 %20.0 %
Artist9,4072,59027.5 %
6,81272.4 %50.1 %
Teacher9,2811,99821.5 %
7,28178.5 %20.0 %
Theologian9,1052933.2 %
8,81296.8 %00.0 %
Film producer8,9371,29514.5 %
7,63985.5 %30.0 %
Mathematician8,8855906.6 %
8,29593.4 %00.0 %
Boxer8,5694895.7 %
8,07794.3 %30.0 %
Botanist8,4951,08312.7 %
7,41287.3 %00.0 %
Entrepreneur8,4024765.7 %
7,92594.3 %10.0 %
Volleyball player8,3264,25451.1 %
4,07248.9 %00.0 %
Singer-songwriter7,8792,42630.8 %
5,44569.1 %80.1 %
Philosopher7,7035877.6 %
7,11592.4 %10.0 %
Physicist7,4403384.5 %
7,10195.4 %10.0 %
Jazz musician7,32994312.9 %
6,38687.1 %00.0 %
Playwright7,2831,08614.9 %
6,19585.1 %20.0 %
Priest7,1271211.7 %
7,00698.3 %00.0 %
Guitarist6,9975768.2 %
6,42091.8 %10.0 %
Chemist6,9764796.9 %
6,49793.1 %00.0 %
Voice actor6,8822,41735.1 %
4,46464.9 %10.0 %
Record producer6,7143585.3 %
6,35494.6 %20.0 %
Tennis player6,5722,68540.9 %
3,88659.1 %10.0 %
Rower6,5061,59624.5 %
4,91075.5 %00.0 %
Handball player6,0132,32338.6 %
3,69061.4 %00.0 %
Opera singer5,9402,97850.1 %
2,96149.8 %10.0 %
Linguist5,85669511.9 %
5,16088.1 %10.0 %
Music educator5,6431,35424.0 %
4,28976.0 %00.0 %
Literary critic5,42673713.6 %
4,68986.4 %00.0 %
Professor5,3711,03319.2 %
4,33680.7 %20.0 %
Children's writer5,3332,67050.1 %
2,66249.9 %10.0 %
Chess player5,20593818.0 %
4,26682.0 %10.0 %
Trade unionist5,19868713.2 %
4,51186.8 %00.0 %
Archaeologist5,09060311.8 %
4,48788.2 %00.0 %
Illustrator4,8501,15723.9 %
3,69276.1 %10.0 %
Educationalist4,73566013.9 %
4,07486.0 %10.0 %
Banker4,7271312.8 %
4,59697.2 %00.0 %
Musicologist4,7023858.2 %
4,31791.8 %00.0 %
Amateur wrestler4,6814509.6 %
4,23190.4 %00.0 %
Radio personality4,63587718.9 %
3,75781.1 %10.0 %
Art historian4,59683118.1 %
3,76581.9 %00.0 %
Badminton player4,5332,13647.1 %
2,39752.9 %00.0 %
Sportsperson4,5221,02922.8 %
3,49377.2 %00.0 %
Farmer4,4791633.6 %
4,31696.4 %00.0 %
Psychologist4,4151,04023.6 %
3,37376.4 %20.0 %
Rugby league player4,325290.7 %
4,29699.3 %00.0 %
Seiyū4,2932,33454.4 %
1,95945.6 %00.0 %
Basketball coach4,2142866.8 %
3,92893.2 %00.0 %
Sociologist4,18168516.4 %
3,49583.6 %10.0 %
Anthropologist4,12567216.3 %
3,45383.7 %00.0 %
Fencer4,0921,00024.4 %
3,09275.6 %00.0 %
Publisher3,9402857.2 %
3,65492.7 %10.0 %
Sprinter3,8921,42436.6 %
2,46663.4 %20.1 %
Non-fiction writer3,84752113.5 %
3,32686.5 %00.0 %
Racecar driver3,6891423.8 %
3,54696.1 %10.0 %
Science fiction writer3,50961217.4 %
2,89782.6 %00.0 %
Golfer3,40066319.5 %
2,73780.5 %00.0 %
Comics artist3,3122758.3 %
3,03791.7 %00.0 %
Computer scientist3,2942758.3 %
3,01891.6 %10.0 %
Theatre director3,26749015.0 %
2,77685.0 %10.0 %
Astronomer3,1452437.7 %
2,90192.2 %10.0 %
Figure skater3,1121,68854.2 %
1,42445.8 %00.0 %
Librarian3,07254217.6 %
2,53082.4 %00.0 %
Surgeon3,0181103.6 %
2,90696.3 %20.1 %
Canadian football player2,97920.1 %
2,97799.9 %00.0 %
Judoka2,9791,01033.9 %
1,96966.1 %00.0 %
Canoer2,96163321.4 %
2,32878.6 %00.0 %
Choreographer2,9381,18840.4 %
1,74659.4 %40.1 %
Professional wrestler2,89457319.8 %
2,32180.2 %00.0 %
Cinematographer2,8841364.7 %
2,74895.3 %00.0 %
Alpine skier2,8131,13640.4 %
1,67759.6 %00.0 %
Field hockey player2,8131,04537.1 %
1,76862.9 %00.0 %
Editor2,78338013.7 %
2,40386.3 %00.0 %
Zoologist2,7632308.3 %
2,53391.7 %00.0 %
Director2,74247117.2 %
2,27082.8 %10.0 %
Explorer2,6841224.5 %
2,56295.5 %00.0 %
Australian rules footballer2,656150.6 %
2,64199.4 %00.0 %
Dancer2,5941,62762.7 %
96137.0 %60.2 %
Announcer2,5701,29950.5 %
1,27149.5 %00.0 %
Artistic gymnast2,5491,16645.7 %
1,38354.3 %00.0 %
Biathlete2,53398638.9 %
1,54761.1 %00.0 %
Biographer2,51060824.2 %
1,90275.8 %00.0 %
Biologist2,50641616.6 %
2,09083.4 %00.0 %
Tarento2,5041,85974.2 %
63825.5 %70.3 %
Geologist2,5011134.5 %
2,38895.5 %00.0 %
Comedian2,49352020.9 %
1,96979.0 %40.2 %
Saxophonist2,4801265.1 %
2,35394.9 %10.0 %
Sport shooter2,46953721.7 %
1,93278.3 %00.0 %
Soldier2,460371.5 %
2,42298.5 %10.0 %
Pornographic actor2,4321,92078.9 %
48519.9 %271.1 %
Psychiatrist2,35825210.7 %
2,10689.3 %00.0 %
Entomologist2,350923.9 %
2,25896.1 %00.0 %
Aviator2,31923710.2 %
2,08289.8 %00.0 %
Essayist2,30560626.3 %
1,69973.7 %00.0 %
Lyricist2,28141318.1 %
1,86881.9 %00.0 %
Political scientist2,2782159.4 %
2,06390.6 %00.0 %
Beauty pageant contestant2,2142,18098.5 %
331.5 %10.0 %
Association football referee2,2101074.8 %
2,10395.2 %00.0 %
Mangaka2,20070932.2 %
1,48867.6 %30.1 %
Rapper2,1751969.0 %
1,97890.9 %10.0 %
Disc jockey2,1461848.6 %
1,96091.3 %20.1 %
Organist2,1231346.3 %
1,98993.7 %00.0 %
Motorcycle racer2,080432.1 %
2,03797.9 %00.0 %
Philologist2,0791828.8 %
1,89791.2 %00.0 %
Film editor2,04737518.3 %
1,67281.7 %00.0 %
Racing driver2,034643.1 %
1,97096.9 %00.0 %