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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,735,4463,557,038621,77017.480 %
2,934,09982.487 %1,1690.033 %

[Indonesian Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
75,38170,44013,08318.573 %
57,29781.342 %600.085 %

[Indonesian Wikipedia] Gender Gap in Japan

CountryTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
Japan7,5387,5371,25716.678 %
6,27483.243 %60.080 %

[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 → 1879434336.977 %total under the threshold of 100 people4093.023 %00.000 %
1880 → 1889959555.263 %total under the threshold of 100 people9094.737 %00.000 %
1890 → 1899717168.451 %total under the threshold of 100 people6591.549 %00.000 %
1900 → 1909707034.286 %total under the threshold of 100 people6795.714 %00.000 %
1910 → 1919898955.618 %total under the threshold of 100 people8494.382 %00.000 %
1920 → 192996961313.542 %total under the threshold of 100 people8386.458 %00.000 %
1930 → 19391491492013.423 %
12986.577 %00.000 %
1940 → 19491961962211.224 %
17488.776 %00.000 %
1950 → 19592752754616.727 %
22983.273 %00.000 %
1960 → 19695955959716.303 %
49783.529 %10.168 %
1970 → 19791,4061,40615110.740 %
1,25389.118 %20.142 %
1980 → 19891,9901,99030315.226 %
1,68584.673 %20.101 %
1990 → 19991,7461,74542224.183 %
1,32275.759 %10.057 %
2000 → 20091031034644.660 %
5755.340 %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. ▾
military personnel17217231.744 %
16998.256 %00.000 %
warrior27227262.206 %
26697.794 %00.000 %
coach24624672.846 %
23997.154 %00.000 %
association football manager24524572.857 %
23897.143 %00.000 %
combatant314314113.503 %
30396.497 %00.000 %
samurai10910943.670 %
10596.330 %00.000 %
association football player4,7634,7632084.367 %
4,55595.633 %00.000 %
competitive player4,7884,7882174.532 %
4,57195.468 %00.000 %
sports figure4,8764,8762304.717 %
4,64695.283 %00.000 %
athlete4,8744,8742304.719 %
4,64495.281 %00.000 %
screenwriter10310354.854 %
9895.146 %00.000 %
director11411476.140 %
10793.860 %00.000 %
manager229229156.550 %
21493.450 %00.000 %
scientist11811886.780 %
11093.220 %00.000 %
leader of organisation230230166.957 %
21493.043 %00.000 %
director11511586.957 %
10793.043 %00.000 %
executive231231177.359 %
21492.641 %00.000 %
film director10810887.407 %
10092.593 %00.000 %
erudite212212167.547 %
19692.453 %00.000 %
researcher191191178.901 %
17491.099 %00.000 %
businessperson1481481610.811 %
13289.189 %00.000 %
entrepreneur1101101210.909 %
9889.091 %00.000 %
professional89889814115.702 %
75483.964 %30.334 %
agent7,4977,4961,22916.395 %
6,26183.525 %60.080 %
politician4744748117.089 %
39082.278 %30.633 %
leader4014017318.204 %
32881.796 %00.000 %
media professional1441442718.750 %
11781.250 %00.000 %
position3813817419.423 %
30680.315 %10.262 %
worker1,0581,05820819.660 %
84780.057 %30.284 %
visual artist1941944322.165 %
15077.320 %10.515 %
writer43343311927.483 %
31472.517 %00.000 %
author57557516027.826 %
41472.000 %10.174 %
drawer1071073028.037 %
7671.028 %10.935 %
illustrator1061063028.302 %
7570.755 %10.943 %
ruler1721725733.140 %
11566.860 %00.000 %
composer1941947639.175 %
11860.825 %00.000 %
lyricist1761767844.318 %
9855.682 %00.000 %
songwriter1411416344.681 %
7855.319 %00.000 %
creator1,9811,98091646.263 %
1,06153.586 %30.152 %
singer-songwriter1071075147.664 %
5652.336 %00.000 %
artist1,6891,68887351.718 %
81248.104 %30.178 %
actor1,0571,05757053.926 %
48645.979 %10.095 %
film actor1401408057.143 %
6042.857 %00.000 %
musician69569541259.281 %
28240.576 %10.144 %
voice actor36936922661.247 %
14338.753 %00.000 %
seiyū35535522362.817 %
13237.183 %00.000 %
vocalist62962939863.275 %
23036.566 %10.159 %
singer62862839863.376 %
22936.465 %10.159 %
performing artist87787656464.384 %
31135.502 %10.114 %
entertainer18218213473.626 %
4625.275 %21.099 %
tarento18218213473.626 %
4625.275 %21.099 %
child1051058076.190 %
2523.810 %00.000 %
child actor1051058076.190 %
2523.810 %00.000 %
fashion person27627623384.420 %
4215.217 %10.362 %
model26826822985.448 %
3814.179 %10.373 %
celebrity20620519494.634 %
115.366 %00.000 %
entertainer20220119295.522 %
94.478 %00.000 %
Japanese idol18718618498.925 %
21.075 %00.000 %