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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,761,8883,589,131629,08217.527 %
2,958,85282.439 %1,1970.033 %

[Portuguese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
226,603224,54140,67318.114 %
183,69181.807 %1770.079 %

[Portuguese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,5721,5721328.397 %total under the threshold of 10000 people1,43991.539 %10.064 %
1810 → 18191,6891,6891388.171 %total under the threshold of 10000 people1,55191.829 %00.000 %
1820 → 18291,7701,7691629.158 %total under the threshold of 10000 people1,60790.842 %00.000 %
1830 → 18392,0722,0711698.160 %total under the threshold of 10000 people1,90191.791 %10.048 %
1840 → 18492,4272,4242249.241 %total under the threshold of 10000 people2,20090.759 %00.000 %
1850 → 18592,7792,7752388.577 %total under the threshold of 10000 people2,53791.423 %00.000 %
1860 → 18693,3413,33939011.680 %total under the threshold of 10000 people2,94988.320 %00.000 %
1870 → 18794,0374,02745411.274 %total under the threshold of 10000 people3,57388.726 %00.000 %
1880 → 18895,4705,4605369.817 %total under the threshold of 10000 people4,92290.147 %20.037 %
1890 → 18996,0866,06773812.164 %total under the threshold of 10000 people5,32987.836 %00.000 %
1900 → 19097,4637,43089412.032 %total under the threshold of 10000 people6,53587.954 %10.013 %
1910 → 19198,8568,8011,05812.021 %total under the threshold of 10000 people7,74187.956 %20.023 %
1920 → 192910,83510,7601,45113.485 %
9,30786.496 %20.019 %
1930 → 193911,90811,8321,60013.523 %
10,22786.435 %50.042 %
1940 → 194915,86015,7792,45415.552 %
13,31184.359 %140.089 %
1950 → 195916,38116,2663,07318.892 %
13,18181.034 %120.074 %
1960 → 196917,96217,8244,06322.795 %
13,74777.126 %140.079 %
1970 → 197921,27521,1515,45825.805 %
15,67274.096 %210.099 %
1980 → 198925,32025,2067,18128.489 %
17,98871.364 %370.147 %
1990 → 199912,18112,0723,56029.490 %
8,49170.336 %210.174 %
2000 → 200952751325048.733 %total under the threshold of 10000 people26150.877 %20.390 %
2010 → 201926261142.308 %total under the threshold of 10000 people1557.692 %00.000 %

[Portuguese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America37,29237,2918,60323.070 %
28,63076.775 %580.156 %
United Kingdom10,47010,4692,13820.422 %
8,31979.463 %120.115 %
Brazil41,23740,1816,90617.187 %
33,25082.751 %250.062 %
France10,62610,6261,59715.029 %
9,02484.924 %50.047 %
Germany11,19611,1961,59414.237 %
9,59785.718 %50.045 %
Portugal11,05011,0231,56914.234 %
9,45485.766 %00.000 %

[Portuguese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor13,46313,4606,54948.655 %
6,87951.107 %320.238 %
actor24,27024,22810,92845.105 %
13,24754.676 %530.219 %
singer11,97011,9285,31844.584 %
6,57755.139 %330.277 %
vocalist12,64612,5965,46843.411 %
7,09556.327 %330.262 %
television actor10,35810,3453,80936.820 %
6,52263.045 %140.135 %
performing artist28,13628,0118,86831.659 %
19,09468.166 %490.175 %
artist56,02855,81216,96230.391 %
38,76369.453 %870.156 %
musician21,89621,7726,18628.413 %
15,54271.385 %440.202 %
creator102,803102,42323,68223.122 %
78,61776.757 %1240.121 %
media professional14,87514,8262,98820.154 %
11,82079.725 %180.121 %
writer33,81533,7126,63919.693 %
27,03580.194 %380.113 %
composer11,12211,0832,07818.749 %
8,98681.079 %190.171 %
author43,67043,4908,06618.547 %
35,37381.336 %510.117 %
agent211,202210,33237,84617.993 %
172,31481.925 %1720.082 %
leader20,84420,7873,09314.879 %
17,68285.063 %120.058 %
athlete64,18764,0829,37514.630 %
54,69185.345 %160.025 %
sports figure64,95864,8509,40914.509 %
55,42585.466 %160.025 %
professional74,85974,48410,00813.436 %
64,40886.472 %680.091 %
businessperson11,19811,1711,48413.284 %
9,67386.590 %140.125 %
visual artist11,14911,1191,42212.789 %
9,68287.076 %150.135 %
worker101,665101,21812,88312.728 %
88,24087.178 %950.094 %
politician34,57834,3204,28212.477 %
30,01287.448 %260.076 %
position39,97439,9364,79412.004 %
35,11987.938 %230.058 %
competitive player43,13043,0394,73811.009 %
38,29388.973 %80.019 %
erudite33,59033,5523,42210.199 %
30,10889.735 %220.066 %
manager14,65014,6131,48110.135 %
13,12489.810 %80.055 %
executive14,99614,9581,50810.082 %
13,44289.865 %80.053 %
leader of organisation14,98114,9431,50410.065 %
13,43189.882 %80.054 %
educator13,40713,4001,2839.575 %
12,10890.358 %90.067 %
teacher13,16313,1561,2259.311 %
11,92390.628 %80.061 %
researcher32,39032,3562,9589.142 %
29,37890.796 %200.062 %
scientist24,02024,0042,0998.744 %
21,89091.193 %150.062 %
humanities scholar10,99410,9779118.299 %
10,06291.664 %40.036 %
academic11,47411,4687966.941 %
10,66793.015 %50.044 %
faculty member10,77210,7717146.629 %
10,05393.334 %40.037 %
university teacher10,75310,7527096.594 %
10,03993.369 %40.037 %
combatant13,58413,5516424.738 %
12,89795.174 %120.089 %
association football player28,80428,7271,0083.509 %
27,71796.484 %20.007 %
employee15,07915,0345213.465 %
14,49996.441 %140.093 %
military personnel10,17610,1491821.793 %
9,95598.088 %120.118 %
warrior10,62610,5991881.774 %
10,39998.113 %120.113 %