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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,831,0003,664,199645,92917.628 %
3,016,94182.336 %1,3290.036 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
343,752316,58468,89221.761 %
247,54278.192 %1500.047 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,4151,3121128.537 %total under the threshold of 10000 people1,20091.463 %00.000 %
1810 → 18191,6711,5441117.189 %total under the threshold of 10000 people1,43392.811 %00.000 %
1820 → 18291,9441,7621236.981 %total under the threshold of 10000 people1,63993.019 %00.000 %
1830 → 18392,4202,1921607.299 %total under the threshold of 10000 people2,03292.701 %00.000 %
1840 → 18492,9782,7382077.560 %total under the threshold of 10000 people2,53192.440 %00.000 %
1850 → 18593,5433,2382206.794 %total under the threshold of 10000 people3,01793.175 %10.031 %
1860 → 18694,4014,0172967.369 %total under the threshold of 10000 people3,72192.631 %00.000 %
1870 → 18795,3304,8123597.461 %total under the threshold of 10000 people4,45392.539 %00.000 %
1880 → 18897,0956,3574106.450 %total under the threshold of 10000 people5,94693.535 %10.016 %
1890 → 18998,3317,5266448.557 %total under the threshold of 10000 people6,88191.430 %10.013 %
1900 → 190910,0649,09996110.562 %total under the threshold of 10000 people8,13689.416 %20.022 %
1910 → 19199,9259,1181,05811.603 %total under the threshold of 10000 people8,05588.342 %50.055 %
1920 → 192913,37912,1871,45811.964 %
10,72888.028 %10.008 %
1930 → 193917,28315,7562,01412.782 %
13,74087.205 %20.013 %
1940 → 194923,74221,9053,04213.887 %
18,85386.067 %100.046 %
1950 → 195925,49823,4874,07617.354 %
19,40382.612 %80.034 %
1960 → 196928,61126,6596,15623.092 %
20,48776.848 %160.060 %
1970 → 197933,35531,5329,30029.494 %
22,21170.440 %210.067 %
1980 → 198941,06039,34614,43936.698 %
24,87663.224 %310.079 %
1990 → 199925,28624,0199,29338.690 %
14,71461.260 %120.050 %
2000 → 20092,0581,9601,01051.531 %total under the threshold of 10000 people94948.418 %10.051 %
2010 → 201957462963.043 %total under the threshold of 10000 people1736.957 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan153,267138,11740,54029.352 %
97,52370.609 %540.039 %
United States of America32,64632,6316,38619.570 %
26,21680.341 %290.089 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
fashion person10,51810,4809,24388.197 %
1,21311.574 %240.229 %
film actor14,51814,5148,52658.743 %
5,96841.119 %200.138 %
singer13,90913,5437,06152.138 %
6,46647.744 %160.118 %
vocalist14,11313,7197,07451.564 %
6,62948.320 %160.117 %
actor44,10143,63822,16650.795 %
21,43549.120 %370.085 %
performing artist19,05818,4547,92542.945 %
10,52057.007 %90.049 %
artist102,12096,20536,24037.670 %
59,89162.254 %740.077 %
creator157,584145,56745,43531.212 %
100,03768.722 %950.065 %
musician30,30028,7238,80130.641 %
19,89969.279 %230.080 %
media professional20,73019,4365,22426.878 %
14,20073.060 %120.062 %
visual artist20,47718,0904,14022.886 %
13,93377.020 %170.094 %
agent298,468278,73762,03022.254 %
216,56477.695 %1430.051 %
writer40,04336,7997,88021.414 %
28,89578.521 %240.065 %
author58,34653,49311,40621.322 %
42,04878.605 %390.073 %
composer15,40414,7032,80419.071 %
11,89180.875 %80.054 %
martial artist11,63911,4591,94016.930 %
9,51483.026 %50.044 %
worker134,009123,71518,12214.648 %
105,53385.303 %600.048 %
athlete73,77372,23910,30214.261 %
61,92385.720 %140.019 %
sports figure75,01573,33710,39414.173 %
62,92985.808 %140.019 %
professional90,79984,35211,52613.664 %
72,78486.286 %420.050 %
non-fiction writer10,3179,3741,23213.143 %total under the threshold of 10000 people8,13886.815 %40.043 %
leader23,44222,6122,61411.560 %
19,99188.409 %70.031 %
politician29,15127,9623,08311.026 %
24,86388.917 %160.057 %
humanities scholar14,67713,4091,2859.583 %
12,12290.402 %20.015 %
educator15,52114,4481,3689.468 %
13,07590.497 %50.035 %
erudite40,79836,9903,4869.424 %
33,49190.541 %130.035 %
social scientist10,7099,6278959.297 %total under the threshold of 10000 people8,72890.662 %40.042 %
teacher14,69513,7861,2318.929 %
12,55191.042 %40.029 %
competitive player47,33946,1704,0548.781 %
42,11291.211 %40.009 %
player47,34446,1754,0548.780 %
42,11791.212 %40.009 %
businessperson19,92118,0731,5788.731 %
16,48891.230 %70.039 %
researcher34,21931,0932,6488.516 %
28,43491.448 %110.035 %
manager18,40417,5861,4228.086 %
16,15891.880 %60.034 %
executive18,58117,7631,4368.084 %
16,32191.882 %60.034 %
leader of organisation18,56417,7461,4348.081 %
16,30691.885 %60.034 %
combatant29,06828,1162,1007.469 %
26,00492.488 %120.043 %
scientist22,90120,9591,5317.305 %
19,41892.648 %100.048 %
position52,87651,6213,6827.133 %
47,92692.842 %130.025 %
director10,4039,9085135.178 %total under the threshold of 10000 people9,39394.802 %20.020 %
association football player21,25021,0185182.465 %
20,49897.526 %20.010 %
employee20,22119,3234272.210 %
18,88797.744 %90.047 %
military personnel15,02314,3941441.000 %
14,24398.951 %70.049 %
warrior17,43516,6631620.972 %
16,49498.986 %70.042 %
baseball player13,32913,265540.407 %
13,21099.585 %10.008 %