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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,671,4733,496,550606,47317.345 %
2,889,07982.627 %9980.029 %

[Chinese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
210,234157,59530,22219.177 %
127,24580.742 %1280.081 %

[Chinese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 1809667605365.950 %total under the threshold of 2102 people56994.050 %00.000 %
1810 → 1819824744456.048 %total under the threshold of 2102 people69993.952 %00.000 %
1820 → 1829895786486.107 %total under the threshold of 2102 people73893.893 %00.000 %
1830 → 18391,004884515.769 %total under the threshold of 2102 people83394.231 %00.000 %
1840 → 18491,1321,031666.402 %total under the threshold of 2102 people96593.598 %00.000 %
1850 → 18591,3631,213473.875 %total under the threshold of 2102 people1,16696.125 %00.000 %
1860 → 18691,8791,6331106.736 %total under the threshold of 2102 people1,52393.264 %00.000 %
1870 → 18792,3901,9771216.120 %total under the threshold of 2102 people1,85693.880 %00.000 %
1880 → 18893,2522,6291435.439 %
2,48594.523 %10.038 %
1890 → 18993,7562,8852378.215 %
2,64891.785 %00.000 %
1900 → 19095,1773,6523589.803 %
3,29390.170 %10.027 %
1910 → 19196,0024,09847011.469 %
3,62688.482 %20.049 %
1920 → 19296,2414,80663013.109 %
4,17686.891 %00.000 %
1930 → 19397,2375,38468512.723 %
4,69887.259 %10.019 %
1940 → 19499,1277,2661,01313.942 %
6,25086.017 %30.041 %
1950 → 195913,7409,7081,82818.830 %
7,87881.150 %20.021 %
1960 → 196914,61910,7832,63524.437 %
8,14375.517 %50.046 %
1970 → 197913,53412,2243,60529.491 %
8,61270.452 %70.057 %
1980 → 198920,18018,9246,37433.682 %
12,52766.196 %230.122 %
1990 → 199912,81612,0354,60338.247 %
7,41861.637 %140.116 %
2000 → 200975267642062.130 %total under the threshold of 2102 people25537.722 %10.148 %
2010 → 201935291448.276 %total under the threshold of 2102 people1551.724 %00.000 %

[Chinese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Qing dynasty10,2019,849930.944 %
9,75699.056 %00.000 %
Germany3,3223,32235710.747 %
2,96389.193 %20.060 %
France3,5513,54746313.053 %
3,08386.919 %10.028 %
United Kingdom6,0496,04884313.938 %
5,20286.012 %30.050 %
United States of America16,93916,9352,92017.242 %
13,98982.604 %260.154 %
People's Republic of China21,61713,2503,61027.245 %
9,63672.725 %40.030 %
Japan15,19715,0075,33435.543 %
9,66664.410 %70.047 %
Taiwan3,3243,2531,16035.659 %
2,09064.248 %30.092 %
South Korea3,5873,5401,43740.593 %
2,10059.322 %30.085 %

[Chinese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
baseball player2,6622,18170.321 %
2,17499.679 %00.000 %
military officer3,0642,922230.787 %
2,89599.076 %40.137 %
officer3,0642,922230.787 %
2,89599.076 %40.137 %
military personnel6,0515,747771.340 %
5,66398.538 %70.122 %
warrior6,9196,603911.378 %
6,50598.516 %70.106 %
association football player12,25311,9983342.784 %
11,66397.208 %10.008 %
coach2,4042,367713.000 %
2,29697.000 %00.000 %
combatant8,1457,7482853.678 %
7,45596.218 %80.103 %
religious servant2,4112,3611285.421 %
2,23394.579 %00.000 %
cleric2,5392,4891375.504 %
2,35294.496 %00.000 %
diplomat2,9792,5881465.641 %
2,44094.281 %20.077 %
basketball player3,8163,6772125.766 %
3,46594.234 %00.000 %
university teacher4,2414,2392756.487 %
3,96493.513 %00.000 %
faculty member4,2604,2582776.505 %
3,98193.495 %00.000 %
academic5,3195,2323426.537 %
4,88993.444 %10.019 %
humanities scholar6,1225,5313766.798 %
5,15393.166 %20.036 %
engineer3,1262,9892046.825 %
2,78193.041 %40.134 %
director6,1175,3723947.334 %
4,97592.610 %30.056 %
bureaucrat4,8634,1753087.377 %
3,86492.551 %30.072 %
administrator4,8704,1823097.389 %
3,87092.539 %30.072 %
civil servant4,8354,1503087.422 %
3,83992.506 %30.072 %
employee4,8674,1823157.532 %
3,86492.396 %30.072 %
scientist15,83214,0791,0697.593 %
13,00392.357 %70.050 %
researcher16,47414,7111,1177.593 %
13,58592.346 %90.061 %
teacher6,0945,9924717.860 %
5,52092.123 %10.017 %
social scientist3,4253,1982598.099 %
2,93991.901 %00.000 %
educator6,2516,1344988.119 %
5,63591.865 %10.016 %
erudite17,55715,7351,3218.395 %
14,40791.560 %70.044 %
position21,04419,2101,6148.402 %
17,58591.541 %110.057 %
leader of organisation9,8088,9137648.572 %
8,14391.361 %60.067 %
manager9,6748,7807538.576 %
8,02191.355 %60.068 %
executive9,8348,9397718.625 %
8,16291.308 %60.067 %
lawyer2,2012,1582159.963 %
1,94390.037 %00.000 %
jurist3,5043,20432910.268 %
2,87589.732 %00.000 %
painter2,3781,97820510.364 %total under the threshold of 2102 people1,77089.484 %30.152 %
ruler3,5453,48037010.632 %
3,10889.310 %20.057 %
politician55,59137,0853,96910.702 %
33,09089.227 %260.070 %
film director2,9822,88531310.849 %
2,57089.081 %20.069 %
director3,2373,12334511.047 %
2,77588.857 %30.096 %
worker88,15765,3237,71111.804 %
57,55988.114 %530.081 %
professional77,01555,9986,66511.902 %
49,29188.023 %420.075 %
competitive player25,28424,3152,97812.248 %
21,33687.748 %10.004 %
non-fiction writer3,9523,59844712.424 %
3,15087.549 %10.028 %
poet3,7583,26541912.833 %
2,84487.106 %20.061 %
businessperson7,2246,18482313.309 %
5,35686.611 %50.081 %
entrepreneur4,1833,95655313.979 %
3,39885.895 %50.126 %
screenwriter4,1433,99759314.836 %
3,40185.089 %30.075 %
producer2,8092,76644516.088 %
2,31683.731 %50.181 %
sports figure32,24431,0355,37617.322 %
25,65382.658 %60.019 %
athlete31,84530,7185,36617.469 %
25,34682.512 %60.020 %
writer19,20116,9263,17518.758 %
13,73581.147 %160.095 %
agent157,147129,25125,24819.534 %
103,91180.395 %920.071 %
author24,59621,7114,38220.183 %
17,30579.706 %240.111 %
journalist3,3793,03761220.151 %
2,42079.684 %50.165 %
visual artist5,9875,3711,16521.691 %
4,19978.179 %70.130 %
media professional6,3185,8551,30222.237 %
4,54577.626 %80.137 %
composer4,4494,19794622.540 %
3,24477.293 %70.167 %
creator62,62256,62116,89929.846 %
39,66070.045 %620.110 %
lyricist2,3062,28080335.219 %
1,47264.561 %50.219 %
television actor3,8323,8001,46738.605 %
2,32561.184 %80.211 %
artist35,88633,96213,50739.771 %
20,41460.108 %410.121 %
musician11,02510,3954,25540.933 %
6,12358.903 %170.164 %
performing artist14,32713,6465,82842.708 %
7,79857.145 %200.147 %
film actor8,1978,0863,64945.127 %
4,41854.638 %190.235 %
badminton player2,3672,3671,15948.965 %
1,20851.035 %00.000 %
actor19,26418,9119,26548.993 %
9,61950.865 %270.143 %
vocalist7,6287,4373,93052.844 %
3,49446.981 %130.175 %
singer7,5707,3813,92653.191 %
3,44246.633 %130.176 %
voice actor3,8613,7382,00653.665 %
1,73146.308 %10.027 %
seiyū2,1472,1471,41465.859 %
73334.141 %00.000 %
fashion person3,3983,3892,72980.525 %
63818.826 %220.649 %
model3,2713,2692,68081.982 %
56717.345 %220.673 %