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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 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
339,664309,06367,88521.965 %
241,03577.989 %1430.046 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,4081,2861118.631 %total under the threshold of 10000 people1,17591.369 %00.000 %
1810 → 18191,6551,5111107.280 %total under the threshold of 10000 people1,40192.720 %00.000 %
1820 → 18291,9191,7201227.093 %total under the threshold of 10000 people1,59892.907 %00.000 %
1830 → 18392,3922,1281567.331 %total under the threshold of 10000 people1,97292.669 %00.000 %
1840 → 18492,9032,6202027.710 %total under the threshold of 10000 people2,41892.290 %00.000 %
1850 → 18593,4623,1132166.939 %total under the threshold of 10000 people2,89693.029 %10.032 %
1860 → 18694,3283,8962857.315 %total under the threshold of 10000 people3,61192.685 %00.000 %
1870 → 18795,2694,6603517.532 %total under the threshold of 10000 people4,30992.468 %00.000 %
1880 → 18897,0366,2114006.440 %total under the threshold of 10000 people5,81093.544 %10.016 %
1890 → 18998,2517,3716288.520 %total under the threshold of 10000 people6,74291.467 %10.014 %
1900 → 190910,0058,96293810.466 %total under the threshold of 10000 people8,02389.522 %10.011 %
1910 → 19199,8919,0281,04611.586 %total under the threshold of 10000 people7,97888.370 %40.044 %
1920 → 192913,33312,0651,44511.977 %
10,61988.015 %10.008 %
1930 → 193917,20815,5251,99412.844 %
13,52987.143 %20.013 %
1940 → 194923,64221,5293,01914.023 %
18,50085.931 %100.046 %
1950 → 195925,33822,8764,03317.630 %
18,83582.335 %80.035 %
1960 → 196928,43026,2216,10523.283 %
20,10276.664 %140.053 %
1970 → 197933,10631,0739,21129.643 %
21,84170.289 %210.068 %
1980 → 198940,58038,72714,25336.804 %
24,44363.116 %310.080 %
1990 → 199924,34222,9068,95139.077 %
13,94360.871 %120.052 %
2000 → 20091,8501,71591853.528 %total under the threshold of 10000 people79646.414 %10.058 %
2010 → 201955442761.364 %total under the threshold of 10000 people1738.636 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan152,685135,95940,18029.553 %
95,72870.409 %510.038 %
United States of America32,39632,3816,32319.527 %
26,03080.387 %280.086 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
fashion person10,44810,4029,18788.320 %
1,19111.450 %240.231 %
film actor14,45314,4498,49258.772 %
5,93641.082 %210.145 %
singer13,77513,3806,98252.182 %
6,38147.691 %170.127 %
vocalist13,97213,5506,99351.609 %
6,54048.266 %170.125 %
actor43,83443,31722,03450.867 %
21,24649.048 %370.085 %
performing artist18,94318,2437,80742.794 %
10,42757.156 %90.049 %
artist100,85094,52535,74137.811 %
58,71162.112 %730.077 %
creator157,097144,24744,93231.149 %
99,22268.786 %930.064 %
musician29,50427,8648,56830.749 %
19,27269.165 %240.086 %
media professional20,53619,1775,15226.866 %
14,01273.067 %130.068 %
visual artist20,27617,7464,08323.008 %
13,64676.896 %170.096 %
agent295,592273,82361,29022.383 %
212,39677.567 %1370.050 %
writer39,93236,5707,78321.282 %
28,76378.652 %240.066 %
author58,13453,06911,27821.252 %
41,75278.675 %390.073 %
composer14,60613,9152,53518.218 %
11,37181.718 %90.065 %
martial artist11,57511,3841,92216.883 %
9,45983.090 %30.026 %
worker132,478120,91017,84914.762 %
103,00185.188 %600.050 %
athlete73,70472,01110,62414.753 %
61,37585.230 %120.017 %
sports figure74,87773,02910,71114.667 %
62,30685.317 %120.016 %
professional89,57982,25211,29413.731 %
70,91586.217 %430.052 %
non-fiction writer10,2549,2891,21813.112 %total under the threshold of 10000 people8,06786.845 %40.043 %
leader22,92822,0072,52611.478 %
19,47488.490 %70.032 %
politician28,84827,6343,05611.059 %
24,56188.880 %170.062 %
position42,79339,2564,13810.541 %
35,10589.426 %130.033 %
humanities scholar14,60213,2831,2659.523 %
12,01690.461 %20.015 %
erudite40,32336,3123,4069.380 %
32,89390.584 %130.036 %
educator15,39014,2431,3249.296 %
12,91490.669 %50.035 %
social scientist10,6469,5128749.188 %total under the threshold of 10000 people8,63490.770 %40.042 %
businessperson19,61917,1341,5398.982 %
15,58690.965 %90.053 %
competitive player46,64645,3634,0278.877 %
41,33291.114 %40.009 %
teacher14,58913,6331,2008.802 %
12,42991.168 %40.029 %
researcher34,54431,2532,6368.434 %
28,60691.530 %110.035 %
manager17,94017,0381,3437.882 %
15,68992.082 %60.035 %
executive18,11417,2121,3567.878 %
15,85092.087 %60.035 %
leader of organisation18,10017,1981,3547.873 %
15,83892.092 %60.035 %
combatant28,83927,6632,0797.515 %
25,57492.448 %100.036 %
scientist22,54520,5011,5007.317 %
18,99192.635 %100.049 %
director10,3059,7454975.100 %total under the threshold of 10000 people9,24594.869 %30.031 %
association football player20,78420,5265202.533 %
20,00497.457 %20.010 %
employee20,01918,8884192.218 %
18,46097.734 %90.048 %
military personnel14,86314,0651411.002 %
13,91798.948 %70.050 %
warrior17,27116,2861590.976 %
16,12098.981 %70.043 %
baseball player13,27813,148530.403 %
13,09499.589 %10.008 %