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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,787,3713,617,627635,73117.573 %
2,980,62682.392 %1,2700.035 %

[Chinese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
218,548169,85632,23618.978 %
137,46780.931 %1530.090 %

[Chinese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 1809687635548.504 %total under the threshold of 2185 people58191.496 %00.000 %
1810 → 1819852786627.888 %total under the threshold of 2185 people72492.112 %00.000 %
1820 → 1829940866778.891 %total under the threshold of 2185 people78991.109 %00.000 %
1830 → 18391,074988858.603 %total under the threshold of 2185 people90391.397 %00.000 %
1840 → 18491,1671,086898.195 %total under the threshold of 2185 people99791.805 %00.000 %
1850 → 18591,4021,268594.653 %total under the threshold of 2185 people1,20995.347 %00.000 %
1860 → 18691,9291,6981146.714 %total under the threshold of 2185 people1,58493.286 %00.000 %
1870 → 18792,5122,1161476.947 %total under the threshold of 2185 people1,96993.053 %00.000 %
1880 → 18893,4212,8061575.595 %
2,64894.369 %10.036 %
1890 → 18993,9923,1302558.147 %
2,87591.853 %00.000 %
1900 → 19095,5513,9863879.709 %
3,59890.266 %10.025 %
1910 → 19196,4014,50551611.454 %
3,98788.502 %20.044 %
1920 → 19296,8485,31168612.917 %
4,62487.065 %10.019 %
1930 → 19397,8455,93377112.995 %
5,15986.954 %30.051 %
1940 → 194910,1027,9611,15814.546 %
6,79985.404 %40.050 %
1950 → 195914,66810,4401,96618.831 %
8,47281.149 %20.019 %
1960 → 196915,89011,5902,85224.607 %
8,73175.332 %70.060 %
1970 → 197914,17412,7123,79629.862 %
8,90670.060 %100.079 %
1980 → 198920,72519,4586,58133.822 %
12,84866.029 %290.149 %
1990 → 199913,74112,8894,93038.250 %
7,94361.626 %160.124 %
2000 → 200994285049758.471 %total under the threshold of 2185 people35141.294 %20.235 %
2010 → 201939351645.714 %total under the threshold of 2185 people1954.286 %00.000 %

[Chinese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Qing dynasty10,48910,2221251.223 %
10,09698.767 %10.010 %
Ming dynasty3,0303,020451.490 %
2,96598.179 %100.331 %
Germany3,4813,48140511.635 %
3,07488.308 %20.057 %
France3,6993,69649813.474 %
3,19786.499 %10.027 %
United Kingdom6,3356,33491814.493 %
5,41485.475 %20.032 %
United States of America17,75717,7513,07417.317 %
14,64182.480 %360.203 %
People's Republic of China22,90415,0594,23428.116 %
10,81971.844 %60.040 %
Japan15,96315,7855,67135.927 %
10,10564.016 %90.057 %
Taiwan4,1784,1001,60839.220 %
2,48960.707 %30.073 %
South Korea3,8683,7981,53540.416 %
2,26059.505 %30.079 %

[Chinese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
baseball player2,8832,38460.252 %
2,37899.748 %00.000 %
military officer3,3343,227290.899 %
3,19398.946 %50.155 %
officer3,3343,227290.899 %
3,19398.946 %50.155 %
warrior10,5439,1901121.219 %
9,06898.672 %100.109 %
military personnel9,6898,3441031.234 %
8,23198.646 %100.120 %
combatant11,84310,4043273.143 %
10,06696.751 %110.106 %
coach2,5422,505843.353 %
2,42196.647 %00.000 %
association football player12,50112,2704273.480 %
11,84296.512 %10.008 %
employee14,96312,6214843.835 %
12,12596.070 %120.095 %
historian2,4812,1591135.234 %total under the threshold of 2185 people2,04694.766 %00.000 %
clergy2,7512,6941495.531 %
2,54594.469 %00.000 %
cleric2,7512,6941495.531 %
2,54594.469 %00.000 %
believer2,8942,8261645.803 %
2,66294.197 %00.000 %
basketball player3,9053,7572225.909 %
3,53594.091 %00.000 %
university teacher4,9714,9683336.703 %
4,63393.257 %20.040 %
faculty member4,9894,9863356.719 %
4,64993.241 %20.040 %
academic5,6515,5683796.807 %
5,18793.157 %20.036 %
diplomat3,5882,8661996.943 %
2,66693.022 %10.035 %
politician69,36247,0223,2886.992 %
43,70892.952 %260.055 %
engineer3,6223,4672426.980 %
3,21892.818 %70.202 %
humanities scholar7,0986,5004877.492 %
6,01192.477 %20.031 %
scientist12,67511,5668847.643 %
10,67492.288 %80.069 %
researcher18,19716,4971,3157.971 %
15,17191.962 %110.067 %
director6,9535,8834748.057 %
5,40691.892 %30.051 %
teacher6,5326,4385258.155 %
5,91191.814 %20.031 %
bureaucrat5,6014,5923748.145 %
4,21691.812 %20.044 %
administrator5,6104,6013768.172 %
4,22391.784 %20.043 %
civil servant5,5544,5573748.207 %
4,18191.749 %20.044 %
educator6,7066,6015578.438 %
6,04291.532 %20.030 %
social scientist4,3394,1123528.560 %
3,76091.440 %00.000 %
erudite19,33817,5921,5368.731 %
16,04591.206 %110.063 %
leader of organisation11,0809,7688979.183 %
8,86590.756 %60.061 %
manager10,9339,6228869.208 %
8,73090.730 %60.062 %
executive11,1079,7959049.229 %
8,88590.710 %60.061 %
professional93,20867,8616,2579.220 %
61,55390.705 %510.075 %
worker112,77184,3258,0249.516 %
76,23090.400 %710.084 %
position22,62520,9132,0159.635 %
18,88590.303 %130.062 %
jurist3,9123,52837110.516 %
3,15589.427 %20.057 %
lawyer2,4112,37425110.573 %
2,12189.343 %20.084 %
leader14,97513,6101,45510.691 %
12,14689.243 %90.066 %
painter2,5512,15423711.003 %total under the threshold of 2185 people1,91488.858 %30.139 %
film director3,2233,13135011.179 %
2,77988.758 %20.064 %
director3,6273,41839511.556 %
3,02088.356 %30.088 %
poet4,3603,95947111.897 %
3,48588.027 %30.076 %
non-fiction writer4,5934,21052512.470 %
3,68487.506 %10.024 %
health professional2,3262,13226912.617 %total under the threshold of 2185 people1,85987.195 %40.188 %
businessperson8,2487,17593813.073 %
6,22986.815 %80.111 %
entrepreneur4,7364,42461313.856 %
3,80586.008 %60.136 %
competitive player26,88325,8973,63614.040 %
22,25985.952 %20.008 %
screenwriter4,4604,30863314.694 %
3,67285.237 %30.070 %
film producer2,2272,21432614.724 %
1,88585.140 %30.136 %
producer3,1973,12848615.537 %
2,63684.271 %60.192 %
ruler3,2303,23055217.090 %
2,67882.910 %00.000 %
sports figure34,07932,8425,91017.995 %
26,92481.980 %80.024 %
athlete33,65632,4965,89718.147 %
26,59181.829 %80.025 %
writer21,24319,1243,46918.140 %
15,63181.735 %240.125 %
agent182,114148,92527,15018.231 %
121,63381.674 %1420.095 %
author26,78124,0774,73519.666 %
19,30880.193 %340.141 %
journalist3,6463,31166119.964 %
2,64479.855 %60.181 %
media professional7,7497,2261,53221.201 %
5,68178.619 %130.180 %
visual artist6,5605,9401,26421.279 %
4,66678.552 %100.168 %
composer4,7714,5311,01922.490 %
3,50377.312 %90.199 %
television actor6,3956,3671,58924.957 %
4,76974.902 %90.141 %
novelist2,2172,03155727.425 %total under the threshold of 2185 people1,47372.526 %10.049 %
creator66,59460,79717,74929.194 %
42,97270.681 %760.125 %
lyricist2,5182,49284633.949 %
1,63765.690 %90.361 %
songwriter2,2792,26177534.277 %
1,47865.369 %80.354 %
drawer2,3522,26584437.263 %
1,41562.472 %60.265 %
artist37,50935,54914,02939.464 %
21,47160.398 %490.138 %
musician11,73811,1234,45340.034 %
6,65059.786 %200.180 %
performing artist5,3555,2712,17941.339 %
3,08758.566 %50.095 %
film actor8,7018,5983,92845.685 %
4,65054.082 %200.233 %
badminton player2,8402,8401,38248.662 %
1,45851.338 %00.000 %
actor20,22119,8929,66148.567 %
10,20251.287 %290.146 %
vocalist8,1027,9124,09351.732 %
3,80348.066 %160.202 %
singer8,0247,8354,09052.202 %
3,72947.594 %160.204 %
voice actor4,0303,9132,11554.051 %
1,79745.924 %10.026 %
celebrity2,2342,1301,25158.732 %total under the threshold of 2185 people87140.892 %80.376 %
seiyū2,1992,1991,46066.394 %
73933.606 %00.000 %
fashion person3,7693,7582,91377.515 %
82021.820 %250.665 %
model3,5473,5452,82879.774 %
69319.549 %240.677 %