Filters









Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,831,0003,664,199645,92917.628 %
3,016,94182.336 %1,3290.036 %

[Indonesian Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
78,94374,71513,94918.670 %
60,69681.237 %700.094 %

[Indonesian Wikipedia] Gender Gap in Japan

CountryTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
Japan7,7597,7591,30816.858 %
6,44483.052 %70.090 %

[Indonesian Wikipedia] Gender Gap by year of birth in Japan

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18093300.000 %total under the threshold of 100 people3100.000 %00.000 %
1810 → 18198800.000 %total under the threshold of 100 people8100.000 %00.000 %
1820 → 1829121218.333 %total under the threshold of 100 people1191.667 %00.000 %
1830 → 1839343425.882 %total under the threshold of 100 people3294.118 %00.000 %
1840 → 1849323226.250 %total under the threshold of 100 people3093.750 %00.000 %
1850 → 1859282813.571 %total under the threshold of 100 people2796.429 %00.000 %
1860 → 1869424200.000 %total under the threshold of 100 people42100.000 %00.000 %
1870 → 1879444436.818 %total under the threshold of 100 people4193.182 %00.000 %
1880 → 1889979766.186 %total under the threshold of 100 people9193.814 %00.000 %
1890 → 18997777911.688 %total under the threshold of 100 people6888.312 %00.000 %
1900 → 1909757534.000 %total under the threshold of 100 people7296.000 %00.000 %
1910 → 1919909055.556 %total under the threshold of 100 people8594.444 %00.000 %
1920 → 19291001001313.000 %
8787.000 %00.000 %
1930 → 19391511512013.245 %
13186.755 %00.000 %
1940 → 1949184184115.978 %
17394.022 %00.000 %
1950 → 19592792794516.129 %
23483.871 %00.000 %
1960 → 19696076079916.310 %
50783.526 %10.165 %
1970 → 19791,4211,42115410.837 %
1,26488.951 %30.211 %
1980 → 19892,0122,01230815.308 %
1,70284.592 %20.099 %
1990 → 19991,8391,83945024.470 %
1,38875.476 %10.054 %
2000 → 20091491495637.584 %
9362.416 %00.000 %
2010 → 2019111100.000 %total under the threshold of 100 people00.000 %00.000 %

[Indonesian Wikipedia] Gender Gap by occupation in Japan

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
actor1,1011,10159854.314 %
50245.595 %10.091 %
agent7,7187,7181,28116.598 %
6,43083.312 %70.091 %
artist1,7581,75890751.593 %
84748.180 %40.228 %
association football manager24724772.834 %
24097.166 %00.000 %
association football player4,8794,8792204.509 %
4,65995.491 %00.000 %
athlete4,9914,9912444.889 %
4,74795.111 %00.000 %
author60260216727.741 %
43371.927 %20.332 %
businessperson1541541711.039 %
13788.961 %00.000 %
celebrity22022020794.091 %
135.909 %00.000 %
child1081088275.926 %
2624.074 %00.000 %
child actor1081088275.926 %
2624.074 %00.000 %
coach24824872.823 %
24197.177 %00.000 %
combatant315315113.492 %
30496.508 %00.000 %
competitive player4,9114,9112354.785 %
4,67695.215 %00.000 %
composer2262269140.265 %
13559.735 %00.000 %
creator2,0562,05695246.304 %
1,10053.502 %40.195 %
director12412497.258 %
11592.742 %00.000 %
director11611676.034 %
10993.966 %00.000 %
drawer1151153026.087 %
8372.174 %21.739 %
educator10010022.000 %
9898.000 %00.000 %
employee24924972.811 %
24297.189 %00.000 %
entertainer18318313473.224 %
4725.683 %21.093 %
entertainer21121120295.735 %
94.265 %00.000 %
entrepreneur1171171311.111 %
10488.889 %00.000 %
erudite220220188.182 %
20291.818 %00.000 %
executive241241187.469 %
22392.531 %00.000 %
fashion person29329324884.642 %
4415.017 %10.341 %
film actor1501508959.333 %
6140.667 %00.000 %
film director11711797.692 %
10892.308 %00.000 %
human16416412978.659 %
3521.341 %00.000 %
illustrator1121122925.893 %
8172.321 %21.786 %
Japanese idol19519519398.974 %
21.026 %00.000 %
leader4114117418.005 %
33781.995 %00.000 %
leader of organisation240240177.083 %
22392.917 %00.000 %
lyricist1781787944.382 %
9955.618 %00.000 %
manager239239166.695 %
22393.305 %00.000 %
media professional1581583320.886 %
12579.114 %00.000 %
military personnel17417431.724 %
17198.276 %00.000 %
model28428424485.915 %
3913.732 %10.352 %
musician73473443158.719 %
30241.144 %10.136 %
performing artist29929923478.261 %
6521.739 %00.000 %
player4,9114,9112354.785 %
4,67695.215 %00.000 %
politician4814818116.840 %
39782.536 %30.624 %
position5,3575,3572975.544 %
5,05994.437 %10.019 %
professional92692614916.091 %
77483.585 %30.324 %
researcher188188189.574 %
17090.426 %00.000 %
ruler1721725733.140 %
11566.860 %00.000 %
samurai10810843.704 %
10496.296 %00.000 %
scientist12412497.258 %
11592.742 %00.000 %
screenwriter11011076.364 %
10393.636 %00.000 %
seiyū36536522962.740 %
13637.260 %00.000 %
singer64864841363.735 %
23436.111 %10.154 %
singer-songwriter1061065047.170 %
5652.830 %00.000 %
songwriter1781787944.382 %
9955.618 %00.000 %
sports figure4,9954,9952444.885 %
4,75195.115 %00.000 %
tarento18318313473.224 %
4725.683 %21.093 %
visual artist2032034321.182 %
15877.833 %20.985 %
vocal composer1781787944.382 %
9955.618 %00.000 %
vocalist65065041363.538 %
23636.308 %10.154 %
voice actor37937923261.214 %
14738.786 %00.000 %
warrior27327362.198 %
26797.802 %00.000 %
worker1,2051,20522318.506 %
97981.245 %30.249 %
writer45445412727.974 %
32772.026 %00.000 %