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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,726,2903,547,179619,23817.457 %
2,926,78982.510 %1,1520.032 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
332,246294,28765,73122.336 %
228,42677.620 %1300.044 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,3891,2381108.885 %total under the threshold of 3322 people1,12891.115 %00.000 %
1810 → 18191,6331,4581107.545 %total under the threshold of 3322 people1,34892.455 %00.000 %
1820 → 18291,8931,6531207.260 %total under the threshold of 3322 people1,53392.740 %00.000 %
1830 → 18392,3472,0351507.371 %total under the threshold of 3322 people1,88592.629 %00.000 %
1840 → 18492,8132,4571947.896 %total under the threshold of 3322 people2,26392.104 %00.000 %
1850 → 18593,3402,9072077.121 %total under the threshold of 3322 people2,70092.879 %00.000 %
1860 → 18694,1823,6162737.550 %
3,34392.450 %00.000 %
1870 → 18795,0924,3373367.747 %
4,00192.253 %00.000 %
1880 → 18896,8685,8893896.606 %
5,49993.377 %10.017 %
1890 → 18998,0176,9446098.770 %
6,33491.215 %10.014 %
1900 → 19099,8078,61792510.735 %
7,69189.254 %10.012 %
1910 → 19199,7018,7171,00911.575 %
7,70588.391 %30.034 %
1920 → 192913,16911,7271,40111.947 %
10,32588.045 %10.009 %
1930 → 193917,01715,0911,94612.895 %
13,14387.092 %20.013 %
1940 → 194923,28520,8942,94714.105 %
17,94085.862 %70.034 %
1950 → 195925,03022,0893,93817.828 %
18,14382.136 %80.036 %
1960 → 196928,04325,4455,98123.506 %
19,45276.447 %120.047 %
1970 → 197932,71630,3089,06329.903 %
21,22970.044 %160.053 %
1980 → 198940,13637,95514,04537.004 %
23,88362.925 %270.071 %
1990 → 199923,39921,6278,57839.663 %
13,03760.281 %120.055 %
2000 → 20091,6091,44980755.694 %total under the threshold of 3322 people64244.306 %00.000 %
2010 → 201951382463.158 %total under the threshold of 3322 people1436.842 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Germany7,6757,6751,17515.309 %
6,49984.678 %10.013 %
France7,6647,6571,24416.247 %
6,41183.727 %20.026 %
United Kingdom7,6657,6581,37017.890 %
6,28282.032 %60.078 %
United States of America31,81131,7786,19819.504 %
25,55380.411 %270.085 %
Japan151,091132,17839,28229.719 %
92,85270.248 %440.033 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
military commander4,7113,93470.178 %
3,92799.822 %00.000 %
baseball player13,04712,891430.334 %
12,84899.666 %00.000 %
military officer7,2556,438370.575 %
6,40099.410 %10.016 %
officer7,2556,438370.575 %
6,40099.410 %10.016 %
warrior16,28514,8681480.995 %
14,71498.964 %60.040 %
military personnel13,95212,7831331.040 %
12,64498.913 %60.047 %
association football player20,35819,9545142.576 %
19,43897.414 %20.010 %
diplomat3,3983,1741364.285 %total under the threshold of 3322 people3,03695.652 %20.063 %
director9,9289,3204705.043 %
8,84794.925 %30.032 %
civil servant5,3954,9802565.141 %
4,72194.799 %30.060 %
bureaucrat5,5435,1062645.170 %
4,83994.771 %30.059 %
administrator5,5475,1102655.186 %
4,84294.755 %30.059 %
employee5,4074,9922615.228 %
4,72894.712 %30.060 %
engineer6,3865,9003115.271 %
5,58594.661 %40.068 %
university teacher7,0987,0524346.154 %
6,61693.817 %20.028 %
naturalist3,7283,5262186.183 %
3,30893.817 %00.000 %
faculty member7,1097,0634356.159 %
6,62693.813 %20.028 %
biologist3,6503,4492156.234 %
3,23493.766 %00.000 %
academic9,5418,9645866.537 %
8,37693.440 %20.022 %
historian5,0934,4583006.729 %
4,15793.248 %10.022 %
jurist6,2185,4203696.808 %
5,05193.192 %00.000 %
physician3,9563,4842416.917 %
3,24193.025 %20.057 %
lawyer5,0504,5193207.081 %
4,19992.919 %00.000 %
scientist21,95419,7481,4197.186 %
18,32292.779 %70.035 %
combatant27,62025,9562,0437.871 %
23,90492.094 %90.035 %
manager17,68816,6541,3217.932 %
15,32792.032 %60.036 %
leader of organisation17,83616,8021,3337.934 %
15,46392.031 %60.036 %
leader17,84816,8141,3357.940 %
15,47392.025 %60.036 %
coach3,9183,7963128.219 %
3,48491.781 %00.000 %
researcher33,72930,1292,4898.261 %
27,63291.712 %80.027 %
competitive player45,35543,8103,6428.313 %
40,16691.682 %20.005 %
cleric3,4243,1582658.391 %total under the threshold of 3322 people2,89291.577 %10.032 %
teacher14,35013,2561,1578.728 %
12,09591.242 %40.030 %
believer3,5733,3072958.920 %total under the threshold of 3322 people3,01191.049 %10.030 %
social scientist10,5279,2518399.069 %
8,41090.909 %20.022 %
educator15,13013,8151,2689.178 %
12,54390.793 %40.029 %
erudite39,59135,0343,2429.254 %
31,78290.718 %100.029 %
humanities scholar14,37212,8961,1989.290 %
11,69690.695 %20.016 %
businessperson18,72515,7261,4669.322 %
14,25490.640 %60.038 %
boxer3,3343,29634310.407 %total under the threshold of 3322 people2,95189.533 %20.061 %
position40,51236,8253,85710.474 %
32,95989.502 %90.024 %
film director6,5156,20067810.935 %
5,52089.032 %20.032 %
director7,1546,77175411.136 %
6,01488.820 %30.044 %
politician27,72526,7803,00411.217 %
23,75988.719 %170.063 %
painter5,8284,91255711.340 %
4,35488.640 %10.020 %
designer4,1253,62842811.797 %
3,20088.203 %00.000 %
entrepreneur8,5408,12097912.057 %
7,13687.882 %50.062 %
producer7,4307,01787412.455 %
6,13887.473 %50.071 %
non-fiction writer10,1599,0681,18513.068 %
7,87986.888 %40.044 %
health professional5,4654,83464413.322 %
4,18886.636 %20.041 %
sports figure72,87470,62310,17214.403 %
60,44185.583 %100.014 %
athlete71,73769,67510,08714.477 %
59,57885.508 %100.014 %
screenwriter8,2697,9421,14914.467 %
6,79185.507 %20.025 %
film producer4,1784,11659314.407 %
3,51985.496 %40.097 %
journalist6,1115,51480114.527 %
4,70885.383 %50.091 %
wrestler4,8514,73670114.802 %
4,03485.177 %10.021 %
instrumentalist8,2437,7811,22415.731 %
6,55684.257 %10.013 %
linguist4,2243,76859715.844 %
3,17084.130 %10.027 %
martial artist11,34011,0931,89517.083 %
9,19582.890 %30.027 %
worker120,299108,29219,06517.605 %
89,17582.347 %520.048 %
composer14,33513,4122,44518.230 %
10,96081.718 %70.052 %
professional93,40585,03215,81718.601 %
69,17181.347 %440.052 %
poet5,8145,2171,02119.571 %
4,19380.372 %30.058 %
action7,3167,1151,40119.691 %
5,71180.267 %30.042 %
keyboardist3,5373,39767919.988 %
2,71779.982 %10.029 %
writer39,36735,4827,51021.166 %
27,95078.772 %220.062 %
author57,32251,48610,93021.229 %
40,52278.705 %340.066 %
agent287,078262,00759,44422.688 %
202,45277.270 %1110.042 %
visual artist19,80216,9443,96223.383 %
12,96976.540 %130.077 %
ruler4,7734,7371,16224.530 %
3,57575.470 %00.000 %
novelist6,8895,8031,62928.072 %
4,17271.894 %20.034 %
athletics competitor3,3233,3221,00830.343 %
2,30969.506 %50.151 %
musician28,92926,8098,26130.814 %
18,52669.104 %220.082 %
creator154,014139,23743,57631.296 %
95,58168.646 %800.057 %
television actor7,7357,7352,47031.933 %
5,25667.951 %90.116 %
lyricist6,2035,8622,02234.493 %
3,83465.404 %60.102 %
songwriter5,0924,8821,73835.600 %
3,13864.277 %60.123 %
stage actor4,3974,3851,62136.967 %
2,76463.033 %00.000 %
performing artist42,49039,66314,87437.501 %
24,76262.431 %270.068 %
artist98,98491,48234,84438.088 %
56,57461.842 %640.070 %
media professional24,12122,4398,69238.736 %
13,73561.210 %120.053 %
drawer8,3787,2142,84739.465 %
4,35760.396 %100.139 %
illustrator8,2187,0552,83240.142 %
4,21459.731 %90.128 %
singer-songwriter3,4383,2411,37742.487 %total under the threshold of 3322 people1,86057.390 %40.123 %
comics artist6,4055,7122,44042.717 %
3,26357.125 %90.158 %
mangaka6,0405,3592,38344.467 %
2,96855.383 %80.149 %
winter sports practitioner5,3165,2912,39345.228 %
2,89854.772 %00.000 %
ice skater4,0074,0002,03050.750 %
1,97049.250 %00.000 %
actor43,13542,52321,67550.972 %
20,81448.948 %340.080 %
voice actor9,6959,6934,97151.284 %
4,72148.705 %10.010 %
vocalist13,72413,1006,78551.794 %
6,29948.084 %160.122 %
singer13,53912,9476,77952.360 %
6,15247.517 %160.124 %
announcer5,4715,0122,69953.851 %
2,31146.109 %20.040 %
figure skater3,4723,4721,89454.551 %
1,57845.449 %00.000 %
seiyū7,0617,0604,04957.351 %
3,01142.649 %00.000 %
film actor14,35414,3508,45858.941 %
5,87340.927 %190.132 %
entertainer6,9766,7584,65068.807 %
2,10431.133 %40.059 %
tarento4,1174,0023,14078.461 %
85221.289 %100.250 %
entertainer4,1184,0033,14178.466 %
85221.284 %100.250 %
celebrity5,7475,4364,37380.445 %
1,05819.463 %50.092 %
fashion person10,28110,2119,03688.493 %
1,15311.292 %220.215 %
model9,7069,6838,82591.139 %
8378.644 %210.217 %
pornographic actor4,2954,2954,15596.740 %
1323.073 %80.186 %
sex worker4,6334,6054,45896.808 %
1393.018 %80.174 %
Japanese idol3,8073,7063,69199.595 %
130.351 %20.054 %