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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,954,3043,789,725674,28317.792 %
3,113,83882.165 %1,6040.042 %

[Swedish Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
239,180238,83150,72621.239 %
187,98378.710 %1220.051 %

[Swedish Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18093,1343,1332778.841 %total under the threshold of 10000 people2,85591.127 %10.032 %
1810 → 18193,9103,9093368.596 %total under the threshold of 10000 people3,57391.404 %00.000 %
1820 → 18294,0484,0453949.740 %total under the threshold of 10000 people3,65190.260 %00.000 %
1830 → 18394,3984,3974389.961 %total under the threshold of 10000 people3,95990.039 %00.000 %
1840 → 18494,9284,9204879.898 %total under the threshold of 10000 people4,43390.102 %00.000 %
1850 → 18595,4625,46158410.694 %total under the threshold of 10000 people4,87789.306 %00.000 %
1860 → 18696,3796,37480112.567 %total under the threshold of 10000 people5,57387.433 %00.000 %
1870 → 18796,6736,66397214.588 %total under the threshold of 10000 people5,69185.412 %00.000 %
1880 → 18898,0638,0471,05913.160 %total under the threshold of 10000 people6,98686.815 %20.025 %
1890 → 18998,5858,5681,24614.542 %total under the threshold of 10000 people7,32085.434 %20.023 %
1900 → 190910,16710,1501,72116.956 %
8,42783.025 %20.020 %
1910 → 191910,08610,0561,93019.193 %
8,12180.758 %50.050 %
1920 → 192910,78610,7662,02218.781 %
8,74181.191 %30.028 %
1930 → 193911,35311,3252,34220.680 %
8,98079.294 %30.026 %
1940 → 194915,78215,7613,69823.463 %
12,05476.480 %90.057 %
1950 → 195916,05916,0344,18126.076 %
11,84273.856 %110.069 %
1960 → 196918,09518,0835,34329.547 %
12,73070.398 %100.055 %
1970 → 197919,64319,6206,15031.346 %
13,45568.578 %150.076 %
1980 → 198920,35120,3396,29330.941 %
14,02468.951 %220.108 %
1990 → 199911,45511,4282,89925.368 %
8,51474.501 %150.131 %
2000 → 200972772321930.290 %total under the threshold of 10000 people50469.710 %00.000 %
2010 → 201920201050.000 %total under the threshold of 10000 people1050.000 %00.000 %

[Swedish Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Sweden63,73763,68815,10623.719 %
48,57376.267 %90.014 %
United States of America30,79430,7947,01822.790 %
23,72477.041 %520.169 %
France10,04010,0401,67216.653 %
8,36283.287 %60.060 %
Germany13,52113,5212,03015.014 %
11,48684.949 %50.037 %

[Swedish Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor10,53110,5314,76745.266 %
5,74654.563 %180.171 %
singer11,96311,9595,28044.151 %
6,65255.623 %270.226 %
vocalist12,23812,2305,29343.279 %
6,90956.492 %280.229 %
actor21,92021,9109,43643.067 %
12,44356.791 %310.141 %
musician24,67324,6516,40625.987 %
18,21073.871 %350.142 %
artist120,272120,15628,69523.881 %
91,36676.039 %950.079 %
media professional15,10415,0973,50223.197 %
11,58176.711 %140.093 %
professional160,262160,10335,17821.972 %
124,82377.964 %1020.064 %
worker170,899170,70736,45421.355 %
134,14678.583 %1070.063 %
writer37,60637,5757,89121.001 %
29,64178.885 %430.114 %
agent227,085226,85347,47920.929 %
179,25479.018 %1200.053 %
author52,60252,56610,97420.877 %
41,53179.007 %610.116 %
painter11,34011,3362,25819.919 %
9,07380.037 %50.044 %
athlete58,38858,35611,51919.739 %
46,82580.240 %120.021 %
sports figure58,83658,80411,54819.638 %
47,24480.341 %120.020 %
visual artist22,36222,3504,36919.548 %
17,96780.389 %140.063 %
creator80,80680,73415,52919.235 %
65,12580.666 %800.099 %
composer11,97611,9761,99316.642 %
9,96583.208 %180.150 %
leader22,14022,1253,62816.398 %
18,48983.566 %80.036 %
politician35,18635,1845,71416.240 %
29,46483.743 %60.017 %
winter sports practitioner10,81710,8031,65115.283 %
9,15284.717 %00.000 %
profession29,61829,6024,34514.678 %
25,23785.254 %200.068 %
job29,65729,6414,34614.662 %
25,27585.270 %200.067 %
work29,65729,6414,34614.662 %
25,27585.270 %200.067 %
player32,66332,6344,49513.774 %
28,13686.217 %30.009 %
competitive player32,66032,6314,49413.772 %
28,13486.219 %30.009 %
non-fiction writer10,16010,1581,25612.365 %
8,89287.537 %100.098 %
erudite39,40039,3714,82812.263 %
34,52587.691 %180.046 %
humanities scholar17,89017,8832,00811.229 %
15,86688.721 %90.050 %
educator15,55915,5501,71411.023 %
13,83088.939 %60.039 %
businessperson24,08124,0602,59410.781 %
21,45489.169 %120.050 %
researcher34,08334,0573,63610.676 %
30,40589.277 %160.047 %
teacher15,22915,2201,61310.598 %
13,60189.363 %60.039 %
manager17,70217,6871,80310.194 %
15,87889.772 %60.034 %
executive18,05218,0371,83010.146 %
16,20089.815 %70.039 %
leader of organisation18,01718,0021,82510.138 %
16,17089.823 %70.039 %
scientist21,97421,9561,8188.280 %
20,13091.683 %80.036 %
association football player17,24817,2421,2287.122 %
16,01392.872 %10.006 %
academic12,59612,5878726.928 %
11,71093.032 %50.040 %
director11,78311,7727836.651 %
10,98693.323 %30.025 %
cadre11,30611,3066876.076 %
10,61593.888 %40.035 %
faculty member11,30511,3056866.068 %
10,61593.897 %40.035 %
university teacher11,27211,2726806.033 %
10,58893.932 %40.035 %
combatant12,95412,9496324.881 %
12,30895.050 %90.070 %
employee16,93416,9277364.348 %
16,18195.593 %100.059 %