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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,954,3043,789,725674,28317.792 %
3,113,83882.165 %1,6040.042 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
356,175340,63071,90621.110 %
268,56078.842 %1640.048 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,4421,3811158.327 %total under the threshold of 10000 people1,26691.673 %00.000 %
1810 → 18191,7021,6191136.980 %total under the threshold of 10000 people1,50693.020 %00.000 %
1820 → 18291,9901,8661236.592 %total under the threshold of 10000 people1,74393.408 %00.000 %
1830 → 18392,4692,3441626.911 %total under the threshold of 10000 people2,18293.089 %00.000 %
1840 → 18493,0782,9532187.382 %total under the threshold of 10000 people2,73592.618 %00.000 %
1850 → 18593,6893,5462286.430 %total under the threshold of 10000 people3,31893.570 %00.000 %
1860 → 18694,5474,3513157.240 %total under the threshold of 10000 people4,03692.760 %00.000 %
1870 → 18795,4365,1743757.248 %total under the threshold of 10000 people4,79992.752 %00.000 %
1880 → 18897,2756,9044276.185 %total under the threshold of 10000 people6,47693.801 %10.014 %
1890 → 18998,5388,1306658.180 %total under the threshold of 10000 people7,46491.808 %10.012 %
1900 → 190910,3399,90899110.002 %total under the threshold of 10000 people8,91389.958 %40.040 %
1910 → 191910,1729,8421,10211.197 %total under the threshold of 10000 people8,73788.773 %30.030 %
1920 → 192913,63813,1511,51511.520 %
11,63588.472 %10.008 %
1930 → 193917,65017,0402,10512.353 %
14,93287.629 %30.018 %
1940 → 194924,30723,5013,15913.442 %
20,33086.507 %120.051 %
1950 → 195926,07025,2054,22416.759 %
20,97383.210 %80.032 %
1960 → 196929,04428,1006,35222.605 %
21,73277.338 %160.057 %
1970 → 197933,80232,8189,52729.030 %
23,26670.894 %250.076 %
1980 → 198941,80040,93414,66535.826 %
26,23264.084 %370.090 %
1990 → 199927,12226,5619,68536.463 %
16,86363.488 %130.049 %
2000 → 20092,4042,3411,14448.868 %total under the threshold of 10000 people1,19651.089 %10.043 %
2010 → 201962553360.000 %total under the threshold of 10000 people2240.000 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan154,770147,42541,64528.248 %
105,71971.710 %610.041 %
United States of America33,68433,6776,61119.631 %
27,03080.262 %360.107 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
model10,04510,0409,11390.767 %
9028.984 %250.249 %
fashion person10,68810,6699,37887.900 %
1,26511.857 %260.244 %
film actor14,55614,5548,49258.348 %
6,04041.501 %220.151 %
singer14,22714,0697,29651.859 %
6,75247.992 %210.149 %
vocalist14,44714,2607,30951.255 %
6,92948.590 %220.154 %
actor44,42244,13622,25650.426 %
21,83849.479 %420.095 %
performing artist23,10322,69111,12549.028 %
11,54450.875 %220.097 %
musician30,92129,9959,16430.552 %
20,80169.348 %300.100 %
artist160,147153,45246,63430.390 %
106,70669.537 %1120.073 %
media professional21,12820,4685,48926.817 %
14,96673.119 %130.064 %
professional212,933203,68053,39426.215 %
150,15673.722 %1300.064 %
creator97,26793,45023,43625.079 %
69,93074.831 %840.090 %
worker227,987218,21553,81424.661 %
164,26775.278 %1340.061 %
visual artist21,05419,3594,32322.331 %
15,01877.576 %180.093 %
agent305,260294,54363,81921.667 %
230,56778.280 %1570.053 %
author59,18256,46311,91121.095 %
44,50378.818 %490.087 %
composer15,13514,8192,89819.556 %
11,91080.370 %110.074 %
writer36,53834,7846,63819.083 %
28,11980.839 %270.078 %
martial artist11,79911,6901,96416.801 %
9,72283.165 %40.034 %
athlete76,45075,86010,56713.930 %
65,28186.055 %120.016 %
sports figure77,71477,06210,66313.837 %
66,38786.148 %120.016 %
non-fiction writer10,55410,2101,28412.576 %
8,91887.346 %80.078 %
leader24,49523,9902,81611.738 %
21,16688.228 %80.033 %
politician30,62129,7063,20710.796 %
26,48389.150 %160.054 %
position14,66114,4331,46510.150 %
12,96589.829 %30.021 %
humanities scholar15,06214,6311,4099.630 %
13,21690.329 %60.041 %
educator15,95915,5831,4879.542 %
14,09190.425 %50.032 %
erudite41,71940,4693,7939.373 %
36,66090.588 %160.040 %
social scientist10,88910,5849669.127 %
9,61590.845 %30.028 %
teacher15,09814,7771,3168.906 %
13,45691.060 %50.034 %
job32,90932,0472,7768.662 %
29,25391.282 %180.056 %
work32,90932,0472,7768.662 %
29,25391.282 %180.056 %
profession32,88332,0222,7698.647 %
29,23591.297 %180.056 %
competitive player49,47249,0744,1838.524 %
44,88791.468 %40.008 %
player49,47749,0794,1838.523 %
44,89291.469 %40.008 %
researcher34,98834,0002,8898.497 %
31,09691.459 %150.044 %
manager19,00618,5151,5168.188 %
16,99291.774 %70.038 %
executive19,26818,7771,5348.170 %
17,23691.793 %70.037 %
leader of organisation19,25018,7591,5308.156 %
17,22291.807 %70.037 %
businessperson27,78926,8862,1538.008 %
24,72191.947 %120.045 %
combatant29,58729,0252,1257.321 %
26,88792.634 %130.045 %
scientist23,38922,7871,6597.280 %
21,11892.676 %100.044 %
academic10,16410,0026786.779 %
9,32093.181 %40.040 %
director10,80110,4585525.278 %
9,90394.693 %30.029 %
association football player22,17122,0895332.413 %
21,55497.578 %20.009 %
employee20,77320,1994432.193 %
19,74597.752 %110.054 %
military personnel15,35114,9421410.944 %
14,79298.996 %90.060 %
warrior17,79317,3411610.928 %
17,17199.020 %90.052 %
baseball player13,55313,506570.422 %
13,44899.571 %10.007 %