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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 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
351,091333,76070,68321.178 %
262,91978.775 %1580.047 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,4241,3601148.382 %total under the threshold of 10000 people1,24691.618 %00.000 %
1810 → 18191,6901,6041126.983 %total under the threshold of 10000 people1,49293.017 %00.000 %
1820 → 18291,9751,8411236.681 %total under the threshold of 10000 people1,71893.319 %00.000 %
1830 → 18392,4602,3241606.885 %total under the threshold of 10000 people2,16493.115 %00.000 %
1840 → 18493,0602,9282147.309 %total under the threshold of 10000 people2,71492.691 %00.000 %
1850 → 18593,6513,4972226.348 %total under the threshold of 10000 people3,27593.652 %00.000 %
1860 → 18694,4924,2773117.271 %total under the threshold of 10000 people3,96692.729 %00.000 %
1870 → 18795,3985,0953687.223 %total under the threshold of 10000 people4,72792.777 %00.000 %
1880 → 18897,2176,7704216.219 %total under the threshold of 10000 people6,34893.767 %10.015 %
1890 → 18998,4667,9676538.196 %total under the threshold of 10000 people7,31391.791 %10.013 %
1900 → 190910,2389,63198310.207 %total under the threshold of 10000 people8,64589.762 %30.031 %
1910 → 191910,0729,5981,08611.315 %total under the threshold of 10000 people8,50788.633 %50.052 %
1920 → 192913,51512,8121,49211.645 %
11,31988.347 %10.008 %
1930 → 193917,51816,6782,06812.400 %
14,60787.582 %30.018 %
1940 → 194924,06623,0793,10613.458 %
19,96286.494 %110.048 %
1950 → 195925,95524,8984,17716.776 %
20,71383.191 %80.032 %
1960 → 196928,91627,8196,30222.654 %
21,50277.292 %150.054 %
1970 → 197933,58432,4989,43829.042 %
23,03670.884 %240.074 %
1980 → 198941,51340,54114,59435.998 %
25,91563.923 %320.079 %
1990 → 199926,32425,7139,49336.919 %
16,20863.034 %120.047 %
2000 → 20092,2872,2071,10850.204 %total under the threshold of 10000 people1,09849.751 %10.045 %
2010 → 201962523159.615 %total under the threshold of 10000 people2140.385 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan154,042145,22941,36628.483 %
103,80571.477 %580.040 %
United States of America33,26233,2536,48919.514 %
26,73480.396 %300.090 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
fashion person10,53810,5169,23987.857 %
1,25111.896 %260.247 %
film actor14,53114,5298,51158.579 %
5,99841.283 %200.138 %
singer14,08813,8457,19151.939 %
6,63647.931 %180.130 %
vocalist14,30014,0307,20451.347 %
6,80848.525 %180.128 %
actor44,26943,93222,21850.574 %
21,67649.340 %380.086 %
performing artist22,91122,42610,95548.850 %
11,45151.061 %200.089 %
artist159,146151,27946,23930.565 %
104,93569.365 %1050.069 %
musician30,68029,6149,03430.506 %
20,55469.406 %260.088 %
media professional20,96520,2205,41326.771 %
14,79473.165 %130.064 %
creator96,96192,12623,07125.043 %
68,97574.870 %800.087 %
visual artist20,79718,9864,24722.369 %
14,72177.536 %180.095 %
agent302,097289,76062,98321.736 %
226,62578.211 %1520.052 %
author59,24155,86711,73321.002 %
44,08878.916 %460.082 %
writer36,21234,0016,52119.179 %
27,45380.742 %270.079 %
composer15,59415,1152,85918.915 %
12,24881.032 %80.053 %
martial artist11,69311,5661,95616.912 %
9,60683.054 %40.035 %
worker136,094130,09518,66014.343 %
111,36085.599 %750.058 %
athlete74,90774,28310,22413.764 %
64,04786.220 %120.016 %
sports figure76,17375,48410,32213.674 %
65,15086.310 %120.016 %
professional93,00089,06811,95913.427 %
77,05286.509 %570.064 %
position14,34114,1691,86413.155 %
12,30186.816 %40.028 %
non-fiction writer10,4599,8871,26812.825 %total under the threshold of 10000 people8,61287.104 %70.071 %
leader24,20723,6672,76711.691 %
20,87888.216 %220.093 %
politician30,13729,1663,14410.780 %
26,00589.162 %170.058 %
humanities scholar14,92514,1951,3779.701 %
12,81490.271 %40.028 %
educator15,80515,2291,4319.397 %
13,79490.577 %40.026 %
erudite41,39839,4393,6939.364 %
35,73390.603 %130.033 %
social scientist10,82010,3429529.205 %
9,38790.766 %30.029 %
teacher14,96114,4551,2808.855 %
13,17191.117 %40.028 %
businessperson20,16419,2061,6408.539 %
17,55991.425 %70.036 %
researcher34,71633,1732,8278.522 %
30,33491.442 %120.036 %
competitive player48,23147,8193,9088.172 %
43,90791.819 %40.008 %
player48,23647,8243,9088.172 %
43,91291.820 %40.008 %
manager18,80918,2831,4888.139 %
16,77391.741 %220.120 %
executive19,06618,5401,5058.118 %
17,01391.764 %220.119 %
leader of organisation19,04618,5201,5018.105 %
16,99791.776 %220.119 %
combatant29,33028,7302,1187.372 %
26,59992.583 %130.045 %
scientist23,20822,3261,6307.301 %
20,68792.659 %90.040 %
job26,12225,2541,8377.274 %
23,40892.690 %90.036 %
work26,12225,2541,8377.274 %
23,40892.690 %90.036 %
profession26,09325,2261,8307.254 %
23,38792.710 %90.036 %
academic10,0619,8376626.730 %total under the threshold of 10000 people9,17293.240 %30.030 %
director10,66610,3045415.250 %
9,74594.575 %180.175 %
association football player21,88221,7985242.404 %
21,27297.587 %20.009 %
employee20,55419,9454392.201 %
19,49597.744 %110.055 %
military personnel15,21814,7901440.974 %
14,63798.966 %90.061 %
warrior17,64317,1701630.949 %
16,99898.998 %90.052 %
baseball player13,45513,408570.425 %
13,35099.567 %10.007 %