Filters









Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,671,4733,496,550606,47317.345 %
2,889,07982.627 %9980.029 %

[Japanese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
326,560286,88264,47122.473 %
222,29577.487 %1160.040 %

[Japanese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,3601,2021078.902 %total under the threshold of 3266 people1,09591.098 %00.000 %
1810 → 18191,6121,4331077.467 %total under the threshold of 3266 people1,32692.533 %00.000 %
1820 → 18291,8691,6121177.258 %total under the threshold of 3266 people1,49592.742 %00.000 %
1830 → 18392,3171,9951517.569 %total under the threshold of 3266 people1,84492.431 %00.000 %
1840 → 18492,7882,4191937.979 %total under the threshold of 3266 people2,22692.021 %00.000 %
1850 → 18593,2532,8231997.049 %total under the threshold of 3266 people2,62492.951 %00.000 %
1860 → 18694,0553,5172757.819 %
3,24292.181 %00.000 %
1870 → 18794,8524,1793358.016 %
3,84491.984 %00.000 %
1880 → 18896,7055,7583906.773 %
5,36793.209 %10.017 %
1890 → 18997,8426,8286199.066 %
6,20890.920 %10.015 %
1900 → 19099,7538,52692310.826 %
7,60389.174 %00.000 %
1910 → 19199,6628,6421,02011.803 %
7,61988.162 %30.035 %
1920 → 192913,09511,5931,40212.094 %
10,19087.898 %10.009 %
1930 → 193916,92714,9291,94413.022 %
12,98486.972 %10.007 %
1940 → 194922,97820,5992,92014.175 %
17,67585.805 %40.019 %
1950 → 195924,26021,6173,87317.916 %
17,73782.051 %70.032 %
1960 → 196927,38524,9965,86823.476 %
19,11576.472 %130.052 %
1970 → 197932,28330,0019,00830.026 %
20,97869.924 %150.050 %
1980 → 198939,73437,57913,90436.999 %
23,65062.934 %250.067 %
1990 → 199922,21520,4568,16939.934 %
12,27660.012 %110.054 %
2000 → 20091,3991,20470758.721 %total under the threshold of 3266 people49741.279 %00.000 %
2010 → 201942301860.000 %total under the threshold of 3266 people1240.000 %00.000 %

[Japanese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Germany7,6087,6081,16115.260 %
6,44684.727 %10.013 %
France7,5757,5681,23216.279 %
6,33483.695 %20.026 %
United Kingdom7,5747,5661,35317.883 %
6,20782.038 %60.079 %
United States of America31,53431,4936,13319.474 %
25,33780.453 %230.073 %
Japan114,308104,44229,81128.543 %
74,59871.425 %330.032 %

[Japanese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
military commander4,6233,67430.082 %
3,67199.918 %00.000 %
baseball player12,79812,640370.293 %
12,60399.707 %00.000 %
military officer7,0736,074320.527 %
6,04199.457 %10.016 %
officer7,0736,074320.527 %
6,04199.457 %10.016 %
warrior15,60914,0111390.992 %
13,86798.972 %50.036 %
military personnel13,27011,9421211.013 %
11,81698.945 %50.042 %
association football player19,88819,4104382.257 %
18,97097.733 %20.010 %
diplomat3,3253,0851334.311 %total under the threshold of 3266 people2,95195.656 %10.032 %
director9,6969,0704394.840 %
8,62995.138 %20.022 %
bureaucrat5,3774,9292444.950 %
4,68395.009 %20.041 %
administrator5,3814,9332454.967 %
4,68694.993 %20.041 %
civil servant5,2414,8102415.010 %
4,56794.948 %20.042 %
employee5,2554,8242465.100 %
4,57694.859 %20.041 %
engineer5,8125,3512805.233 %
5,06994.730 %20.037 %
university teacher6,3396,2993856.112 %
5,91493.888 %00.000 %
faculty member6,3536,3133876.130 %
5,92693.870 %00.000 %
biologist3,3693,1781966.167 %total under the threshold of 3266 people2,98293.833 %00.000 %
naturalist3,4263,2342016.215 %total under the threshold of 3266 people3,03393.785 %00.000 %
academic9,3388,7445686.496 %
8,17593.493 %10.011 %
jurist5,9845,1803426.602 %
4,83893.398 %00.000 %
historian4,8534,1612816.753 %
3,87993.223 %10.024 %
lawyer4,8694,3232966.847 %
4,02793.153 %00.000 %
physician3,6253,1332186.958 %total under the threshold of 3266 people2,91493.010 %10.032 %
manager17,06016,0041,2277.667 %
14,77192.296 %60.037 %
leader of organisation17,20816,1521,2407.677 %
14,90692.286 %60.037 %
executive17,21916,1631,2427.684 %
14,91592.279 %60.037 %
coach3,8383,7142957.943 %
3,41992.057 %00.000 %
combatant26,74124,8911,9917.999 %
22,89291.969 %80.032 %
competitive player44,36542,7183,4688.118 %
39,24891.877 %20.005 %
researcher32,77728,9852,3908.246 %
26,59191.741 %40.014 %
cleric3,3023,0472518.238 %total under the threshold of 3266 people2,79591.730 %10.033 %
scientist31,96528,1922,3468.322 %
25,84291.664 %40.014 %
social scientist8,6617,2926188.475 %
6,67391.511 %10.014 %
teacher14,10812,9531,1258.685 %
11,82691.299 %20.015 %
educator14,86913,4901,2339.140 %
12,25590.845 %20.015 %
erudite38,62233,8343,1389.275 %
30,69190.711 %50.015 %
humanities scholar13,73312,1641,1469.421 %
11,01690.562 %20.016 %
businessperson17,15114,2491,3539.495 %
12,88990.455 %70.049 %
designer3,8233,3143269.837 %
2,98790.133 %10.030 %
position39,14035,2553,57110.129 %
31,67989.857 %50.014 %
film director6,1815,86263110.764 %
5,22889.185 %30.051 %
director6,7756,38469210.840 %
5,68889.098 %40.063 %
painter5,5984,63752511.322 %
4,11088.635 %20.043 %
entrepreneur7,8657,42992712.478 %
6,49687.441 %60.081 %
non-fiction writer9,6448,4731,09312.900 %
7,37687.053 %40.047 %
producer6,7726,34382412.991 %
5,51386.915 %60.095 %
health professional5,1054,44260313.575 %
3,83886.403 %10.023 %
screenwriter7,9687,6361,11014.536 %
6,52385.424 %30.039 %
journalist5,9495,34577714.537 %
4,56385.370 %50.094 %
wrestler4,7864,66968814.735 %
3,98085.243 %10.021 %
sports figure72,95870,47710,80415.330 %
59,66484.657 %90.013 %
athlete71,83369,54410,72415.420 %
58,81184.567 %90.013 %
instrumentalist7,7087,2321,15515.971 %
6,07684.015 %10.014 %
film producer3,6173,54756215.844 %
2,98084.015 %50.141 %
linguist4,0443,57057616.134 %
2,99383.838 %10.028 %
martial artist11,13410,8821,85317.028 %
9,02682.944 %30.028 %
worker116,374104,17218,39717.660 %
85,73382.299 %420.040 %
composer13,81112,8602,33318.142 %
10,52081.804 %70.054 %
professional89,30980,93115,23418.823 %
65,66281.133 %350.043 %
poet5,3814,77696120.121 %
3,81279.816 %30.063 %
keyboardist3,3793,23965320.161 %total under the threshold of 3266 people2,58579.809 %10.031 %
author55,67349,65210,57321.294 %
39,04778.641 %320.064 %
writer37,88133,8337,21121.314 %
26,60078.621 %220.065 %
ruler4,4014,35696122.062 %
3,39577.938 %00.000 %
agent282,607256,85758,38822.732 %
198,37177.230 %980.038 %
politician31,11029,9506,81722.761 %
23,11777.185 %160.053 %
visual artist18,91316,0493,83523.896 %
12,20376.036 %110.069 %
novelist6,8075,6741,59228.058 %
4,08071.907 %20.035 %
media professional16,72915,3384,56929.789 %
10,76070.153 %90.059 %
athletics competitor3,3053,3051,00530.408 %
2,29769.501 %30.091 %
musician28,29526,1268,06630.873 %
18,03869.042 %220.084 %
creator151,454136,25742,80531.415 %
93,38068.532 %720.053 %
theatrical occupation5,3865,2601,65831.521 %
3,60268.479 %00.000 %
lyricist5,8705,5181,95035.339 %
3,56264.552 %60.109 %
songwriter4,7894,5711,67636.666 %
2,88963.203 %60.131 %
stage actor4,1834,1711,55737.329 %
2,61462.671 %00.000 %
performing artist41,75338,81614,55637.500 %
24,23262.428 %280.072 %
artist97,88990,24634,36438.078 %
55,82161.854 %610.068 %
drawer8,1266,9702,79440.086 %
4,16759.785 %90.129 %
television actor5,6325,6312,41742.923 %
3,20656.935 %80.142 %
comics artist6,2515,5692,40043.096 %
3,16256.779 %70.126 %
singer-songwriter3,3103,1051,34043.156 %total under the threshold of 3266 people1,76156.715 %40.129 %
mangaka5,9895,3132,35644.344 %
2,95155.543 %60.113 %
winter sports practitioner5,2725,2472,38245.397 %
2,86554.603 %00.000 %
ice skater3,9973,9902,02850.827 %
1,96249.173 %00.000 %
actor42,38541,76621,35151.121 %
20,38348.803 %320.077 %
voice actor9,5189,5144,87251.209 %
4,64148.781 %10.011 %
vocalist13,26812,6366,63852.532 %
5,98247.341 %160.127 %
singer13,11812,5156,63052.976 %
5,86946.896 %160.128 %
announcer5,4334,9602,65653.548 %
2,30346.431 %10.020 %
figure skater3,4603,4601,88954.595 %
1,57145.405 %00.000 %
seiyū7,0297,0284,01257.086 %
3,01642.914 %00.000 %
film actor13,94013,9368,27259.357 %
5,64640.514 %180.129 %
entertainer6,8986,6664,58268.737 %
2,08031.203 %40.060 %
tarento4,1023,9863,12378.349 %
85321.400 %100.251 %
entertainer4,1033,9873,12478.355 %
85321.395 %100.251 %
socialite4,8814,7114,10187.052 %
60612.864 %40.085 %
celebrity4,6814,5113,93987.320 %
56812.591 %40.089 %
fashion person9,8209,7488,81390.408 %
9159.387 %200.205 %
model9,4459,4228,69492.273 %
7097.525 %190.202 %
pornographic actor4,2414,2414,10796.840 %
1272.995 %70.165 %
sex worker4,5744,5464,40596.898 %
1342.948 %70.154 %
Japanese idol3,7643,6513,63699.589 %
130.356 %20.055 %