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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,761,8883,589,131629,08217.527 %
2,958,85282.439 %1,1970.033 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
336,120304,26567,17822.079 %
236,95377.877 %1340.044 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,3981,2661108.689 %total under the threshold of 10000 people1,15691.311 %00.000 %
1810 → 18191,6461,4891107.388 %total under the threshold of 10000 people1,37992.612 %00.000 %
1820 → 18291,9121,6971227.189 %total under the threshold of 10000 people1,57592.811 %00.000 %
1830 → 18392,3692,0951547.351 %total under the threshold of 10000 people1,94192.649 %00.000 %
1840 → 18492,8512,5532007.834 %total under the threshold of 10000 people2,35392.166 %00.000 %
1850 → 18593,3933,0272147.070 %total under the threshold of 10000 people2,81392.930 %00.000 %
1860 → 18694,2543,7992767.265 %total under the threshold of 10000 people3,52392.735 %00.000 %
1870 → 18795,1634,5293467.640 %total under the threshold of 10000 people4,18392.360 %00.000 %
1880 → 18896,9676,1203966.471 %total under the threshold of 10000 people5,72393.513 %10.016 %
1890 → 18998,1587,2346228.598 %total under the threshold of 10000 people6,61191.388 %10.014 %
1900 → 19099,9498,87793410.522 %total under the threshold of 10000 people7,94289.467 %10.011 %
1910 → 19199,8368,9581,03111.509 %total under the threshold of 10000 people7,92488.457 %30.033 %
1920 → 192913,28011,9791,43511.979 %
10,54388.012 %10.008 %
1930 → 193917,15315,4301,97912.826 %
13,44987.161 %20.013 %
1940 → 194923,57721,4053,00314.029 %
18,39385.929 %90.042 %
1950 → 195925,25622,7114,01317.670 %
18,69182.299 %70.031 %
1960 → 196928,28326,0066,07523.360 %
19,91876.590 %130.050 %
1970 → 197932,91030,8289,17029.746 %
21,64170.199 %170.055 %
1980 → 198940,50038,58114,21436.842 %
24,33763.080 %300.078 %
1990 → 199923,93122,4718,84039.340 %
13,61960.607 %120.053 %
2000 → 20091,7301,61188755.059 %total under the threshold of 10000 people72344.879 %10.062 %
2010 → 201952412560.976 %total under the threshold of 10000 people1639.024 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan152,138135,02640,07129.677 %
94,90970.289 %460.034 %
United States of America32,17532,1596,26919.494 %
25,86380.422 %270.084 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
fashion person10,33710,2869,09288.392 %
1,17111.384 %230.224 %
film actor14,40514,4018,47358.836 %
5,90941.032 %190.132 %
singer13,67113,2686,92952.223 %
6,32347.656 %160.121 %
vocalist13,86213,4346,93951.653 %
6,47948.228 %160.119 %
actor43,47742,94821,88050.945 %
21,03448.976 %340.079 %
artist99,93793,44535,45037.937 %
57,93061.994 %650.070 %
performing artist43,11540,81715,23537.325 %
25,55462.606 %280.069 %
creator155,689142,53744,45131.186 %
98,00268.755 %840.059 %
musician29,22927,5558,49030.811 %
19,04369.109 %220.080 %
media professional20,42119,0115,09526.800 %
13,90573.142 %110.058 %
visual artist20,02817,4464,04423.180 %
13,38976.745 %130.075 %
agent292,339270,15460,70122.469 %
209,32577.484 %1280.047 %
writer39,70436,2537,71721.287 %
28,51478.653 %220.061 %
author57,79052,59211,19321.283 %
41,36578.653 %340.065 %
composer14,48713,7722,51218.240 %
11,25381.709 %70.051 %
martial artist11,50211,3061,90916.885 %
9,39483.089 %30.027 %
worker131,035119,23717,72014.861 %
101,46285.093 %550.046 %
athlete72,77171,07210,28414.470 %
60,77785.515 %110.015 %
sports figure73,93472,07310,37114.390 %
61,69185.595 %110.015 %
professional88,58881,14811,20813.812 %
69,90086.139 %400.049 %
non-fiction writer10,2169,2211,21113.133 %total under the threshold of 10000 people8,00586.813 %50.054 %
leader22,93421,9892,54411.569 %
19,44088.408 %50.023 %
politician28,43427,2573,02811.109 %
24,21188.825 %180.066 %
position42,40838,7994,06610.480 %
34,72189.489 %120.031 %
humanities scholar14,43713,0971,2199.307 %
11,87590.670 %30.023 %
erudite39,98035,8813,3389.303 %
32,53190.664 %120.033 %
educator15,31114,1311,3119.277 %
12,81690.694 %40.028 %
businessperson19,14916,6001,5269.193 %
15,06890.771 %60.036 %
social scientist10,5729,4148599.125 %total under the threshold of 10000 people8,55190.833 %40.042 %
teacher14,51413,5321,1878.772 %
12,34191.199 %40.030 %
researcher34,23130,8762,5698.320 %
28,29691.644 %110.036 %
competitive player45,83044,5533,7058.316 %
40,84591.677 %30.007 %
manager17,99717,0761,3657.994 %
15,70691.977 %50.029 %
executive18,16317,2421,3787.992 %
15,85991.979 %50.029 %
leader of organisation18,15017,2291,3767.987 %
15,84891.984 %50.029 %
combatant28,54527,2812,0627.558 %
25,21092.409 %90.033 %
scientist22,37220,2851,4737.262 %
18,80292.689 %100.049 %
director10,1509,6014905.104 %total under the threshold of 10000 people9,10994.876 %20.021 %
association football player20,55020,2935182.553 %
19,77297.433 %30.015 %
employee19,75218,5474162.243 %
18,12397.714 %80.043 %
military personnel14,66113,7951391.008 %
13,65098.949 %60.043 %
warrior17,04915,9811550.970 %
15,82098.993 %60.038 %
baseball player13,16113,042500.383 %
12,99299.617 %00.000 %