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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,903,8623,739,655663,85017.752 %
3,074,31882.209 %1,4870.040 %

[Chinese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
225,028176,50333,54219.004 %
142,78380.896 %1780.101 %

[Chinese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 1809708654588.869 %total under the threshold of 2250 people59691.131 %00.000 %
1810 → 1819883811698.508 %total under the threshold of 2250 people74291.492 %00.000 %
1820 → 1829968894798.837 %total under the threshold of 2250 people81591.163 %00.000 %
1830 → 18391,1101,025898.683 %total under the threshold of 2250 people93691.317 %00.000 %
1840 → 18491,2111,134938.201 %total under the threshold of 2250 people1,04191.799 %00.000 %
1850 → 18591,4451,314634.795 %total under the threshold of 2250 people1,25195.205 %00.000 %
1860 → 18691,9801,7661196.738 %total under the threshold of 2250 people1,64793.262 %00.000 %
1870 → 18792,5882,2261556.963 %total under the threshold of 2250 people2,07193.037 %00.000 %
1880 → 18893,5242,9431675.674 %
2,77594.292 %10.034 %
1890 → 18994,1213,2862668.095 %
3,01991.875 %10.030 %
1900 → 19095,7834,2484089.605 %
3,83890.348 %20.047 %
1910 → 19196,7264,81555011.423 %
4,26288.515 %30.062 %
1920 → 19297,2225,69974113.002 %
4,95886.998 %00.000 %
1930 → 19398,2456,37381712.820 %
5,55287.118 %40.063 %
1940 → 194910,3848,2901,19614.427 %
7,08985.513 %50.060 %
1950 → 195915,18111,0072,07418.843 %
8,93081.130 %30.027 %
1960 → 196916,41612,2142,97024.316 %
9,23475.602 %100.082 %
1970 → 197914,54013,0483,90029.890 %
9,13670.018 %120.092 %
1980 → 198921,16819,8456,75234.024 %
13,06365.825 %300.151 %
1990 → 199914,52913,6425,23138.345 %
8,39461.531 %170.125 %
2000 → 20091,06396154156.296 %total under the threshold of 2250 people41743.392 %30.312 %
2010 → 201940351645.714 %total under the threshold of 2250 people1954.286 %00.000 %

[Chinese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
People's Republic of China24,02116,1174,40427.325 %
11,70272.607 %110.068 %
United States of America18,31018,3053,19717.465 %
15,07182.333 %370.202 %
Japan16,51916,3645,87135.878 %
10,48364.061 %100.061 %
Qing dynasty10,57310,3161281.241 %
10,18798.750 %10.010 %
United Kingdom6,4966,49395514.708 %
5,53485.230 %40.062 %
Taiwan4,4694,3821,67738.270 %
2,70361.684 %20.046 %
South Korea4,2984,1171,62339.422 %
2,49060.481 %40.097 %
France3,8323,82952613.737 %
3,30286.237 %10.026 %
Germany3,4983,49843312.379 %
3,06387.564 %20.057 %
Ming dynasty3,1633,148451.429 %
3,08497.967 %190.604 %

[Chinese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
agent186,145153,94228,04418.217 %
125,73281.675 %1660.108 %
worker116,12988,3688,5519.677 %
79,69590.185 %1220.138 %
professional95,89470,9726,6719.399 %
64,20090.458 %1010.142 %
politician70,93248,9183,5037.161 %
45,38392.774 %320.065 %
artist67,52662,15318,26629.389 %
43,80570.479 %820.132 %
creator44,13140,2538,70521.626 %
31,47878.200 %700.174 %
sports figure34,37233,2065,82717.548 %
27,37282.431 %70.021 %
athlete33,92532,8325,80917.693 %
27,01682.286 %70.021 %
author27,30424,7964,88719.709 %
19,87280.142 %370.149 %
player27,19126,2613,57713.621 %
22,68186.368 %30.011 %
competitive player27,18826,2583,57713.623 %
22,67886.366 %30.011 %
actor20,65720,3709,94248.807 %
10,39851.046 %300.147 %
erudite20,13618,5341,6348.816 %
16,88391.092 %170.092 %
writer19,73417,8022,94316.532 %
14,83683.339 %230.129 %
researcher18,28316,7311,3608.129 %
15,35591.776 %160.096 %
leader15,99414,6971,61811.009 %
13,02088.590 %590.401 %
employee15,65213,4375203.870 %
12,90296.018 %150.112 %
scientist13,06712,0469327.737 %
11,10592.188 %90.075 %
association football player12,61812,4084303.466 %
11,97796.526 %10.008 %
combatant12,32410,9773413.106 %
10,62396.775 %130.118 %
musician12,13911,5474,59339.777 %
6,93360.042 %210.182 %
executive11,81410,5639849.316 %
9,52090.126 %590.559 %
leader of organisation11,78610,5359779.274 %
9,49990.166 %590.560 %
manager11,55810,3089659.362 %
9,28490.066 %590.572 %
job11,43111,2208047.166 %
10,40492.727 %120.107 %
work11,43111,2208047.166 %
10,40492.727 %120.107 %
profession11,42111,2108047.172 %
10,39492.721 %120.107 %
warrior10,9869,7201131.163 %
9,59598.714 %120.123 %
military personnel10,1238,8631041.173 %
8,74798.691 %120.135 %
position9,1569,1431,03011.265 %
8,11088.702 %30.033 %
film actor8,8358,7414,02146.002 %
4,69953.758 %210.240 %
businessperson8,4937,46197613.081 %
6,47986.838 %60.080 %
vocalist8,2988,1144,19551.701 %
3,90248.090 %170.210 %
singer8,2148,0314,19252.198 %
3,82247.591 %170.212 %
media professional8,0157,5141,61121.440 %
5,88878.360 %150.200 %
humanities scholar7,4366,8935217.558 %
6,36592.340 %70.102 %
director7,3816,3525188.155 %
5,77890.963 %560.882 %
educator7,0406,9425998.629 %
6,34191.343 %20.029 %
teacher6,8526,7645638.323 %
6,19991.647 %20.030 %
visual artist6,7636,1821,31321.239 %
4,85978.599 %100.162 %
television actor6,4686,4501,62825.240 %
4,81274.605 %100.155 %
administrator5,9785,0054128.232 %
4,53790.649 %561.119 %
performing artist5,9695,8942,59043.943 %
3,29855.955 %60.102 %
bureaucrat5,9674,9944088.170 %
4,53090.709 %561.121 %
academic5,9045,8264066.969 %
5,41892.997 %20.034 %
public employee5,8284,8734088.373 %
4,46191.545 %40.082 %
civil servant5,8274,8724088.374 %
4,46091.544 %40.082 %
faculty member5,1955,1913596.916 %
4,83093.046 %20.039 %
university teacher5,1745,1703566.886 %
4,81293.075 %20.039 %
composer5,0404,8071,09722.821 %
3,70076.971 %100.208 %
entrepreneur4,8594,55663713.982 %
3,91485.909 %50.110 %
non-fiction writer4,7814,43455012.404 %
3,87987.483 %50.113 %
screenwriter4,5804,42566715.073 %
3,75584.859 %30.068 %
social scientist4,5074,3043768.736 %
3,92891.264 %00.000 %
poet4,4774,08948811.934 %
3,59887.992 %30.073 %
voice actor4,1334,0332,20254.600 %
1,83045.376 %10.025 %
jurist4,1033,73138910.426 %
3,34189.547 %10.027 %
basketball player3,9263,7772245.931 %
3,55394.069 %00.000 %
fashion person3,8663,8562,99477.645 %
83621.680 %260.674 %
director3,8053,61643011.892 %
3,18388.025 %30.083 %
engineer3,7723,6322526.938 %
3,37492.896 %60.165 %
journalist3,7663,44568219.797 %
2,75780.029 %60.174 %
diplomat3,7593,0702277.394 %
2,84092.508 %30.098 %
model3,6363,6352,90479.890 %
70619.422 %250.688 %
ruler3,6103,61063917.701 %
2,97182.299 %00.000 %
military officer3,5213,434320.932 %
3,39798.923 %50.146 %
officer3,5213,434320.932 %
3,39798.923 %50.146 %
film director3,3623,28637311.351 %
2,91188.588 %20.061 %
producer3,2603,19450715.874 %
2,68283.970 %50.157 %
baseball player3,0902,60060.231 %
2,59399.731 %10.038 %
believer3,0062,9401745.918 %
2,76494.014 %20.068 %
clergy2,8612,8071565.558 %
2,64994.371 %20.071 %
cleric2,8612,8071565.558 %
2,64994.371 %20.071 %
badminton player2,8522,8521,38848.668 %
1,46451.332 %00.000 %
painter2,6312,25624710.949 %
2,00788.963 %20.089 %
historian2,6042,3121215.234 %
2,18994.680 %20.087 %
coach2,5992,565893.470 %
2,47696.530 %00.000 %
coaching2,5992,565893.470 %
2,47696.530 %00.000 %
songwriter2,5782,55186133.751 %
1,68165.896 %90.353 %
lawyer2,5462,50826410.526 %
2,24389.434 %10.040 %
organization2,5222,34031113.291 %
2,02586.538 %40.171 %
celebrity2,4972,3911,42359.515 %
95740.025 %110.460 %
business2,4742,29230813.438 %
1,98086.387 %40.175 %
health professional2,4682,28630813.473 %
1,97486.352 %40.175 %
medical organization2,4682,28630813.473 %
1,97486.352 %40.175 %
service provider2,4682,28630813.473 %
1,97486.352 %40.175 %
drawer2,4082,32886837.285 %
1,45462.457 %60.258 %
philosopher2,3112,2611396.148 %
2,11793.631 %50.221 %
novelist2,2642,08856326.964 %total under the threshold of 2250 people1,52472.989 %10.048 %
seiyū2,2602,2601,51266.903 %
74833.097 %00.000 %
film producer2,2592,24733514.909 %total under the threshold of 2250 people1,90984.958 %30.134 %