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Global Gender Gap

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

[Portuguese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
230,310228,10041,38418.143 %
186,52281.772 %1940.085 %

[Portuguese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,5921,5921328.291 %total under the threshold of 10000 people1,45991.646 %10.063 %
1810 → 18191,7231,7231388.009 %total under the threshold of 10000 people1,58591.991 %00.000 %
1820 → 18291,7851,7841679.361 %total under the threshold of 10000 people1,61790.639 %00.000 %
1830 → 18392,0962,0941748.309 %total under the threshold of 10000 people1,91991.643 %10.048 %
1840 → 18492,4572,4542329.454 %total under the threshold of 10000 people2,22290.546 %00.000 %
1850 → 18592,8152,8102418.577 %total under the threshold of 10000 people2,56991.423 %00.000 %
1860 → 18693,4013,39939811.709 %total under the threshold of 10000 people3,00188.291 %00.000 %
1870 → 18794,0894,07946211.326 %total under the threshold of 10000 people3,61788.674 %00.000 %
1880 → 18895,5265,5165419.808 %total under the threshold of 10000 people4,97390.156 %20.036 %
1890 → 18996,1546,13675412.288 %total under the threshold of 10000 people5,38287.712 %00.000 %
1900 → 19097,5697,53391612.160 %total under the threshold of 10000 people6,61687.827 %10.013 %
1910 → 19199,0288,9641,07612.004 %total under the threshold of 10000 people7,88487.952 %40.045 %
1920 → 192911,06110,9821,49413.604 %
9,48586.369 %30.027 %
1930 → 193912,19312,1101,64913.617 %
10,45686.342 %50.041 %
1940 → 194916,23516,1432,54915.790 %
13,57884.111 %160.099 %
1950 → 195916,72716,5973,17019.100 %
13,41480.822 %130.078 %
1960 → 196918,29518,1444,15222.884 %
13,97777.034 %150.083 %
1970 → 197921,63421,4975,53625.752 %
15,93774.136 %240.112 %
1980 → 198925,69625,5537,24528.353 %
18,27071.498 %380.149 %
1990 → 199912,73512,6163,69529.288 %
8,89670.514 %250.198 %
2000 → 200962761128446.481 %total under the threshold of 10000 people32453.028 %30.491 %
2010 → 201928271244.444 %total under the threshold of 10000 people1555.556 %00.000 %

[Portuguese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America37,97037,9688,74423.030 %
29,15876.796 %660.174 %
United Kingdom10,72110,7202,20320.550 %
8,50479.328 %130.121 %
Brazil41,42640,3626,93017.170 %
33,40782.768 %250.062 %
France10,81110,8111,62215.003 %
9,18484.951 %50.046 %
Germany10,68410,6841,58314.817 %
9,09685.137 %50.047 %
Portugal11,17211,1571,60014.341 %
9,55785.659 %00.000 %

[Portuguese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor13,55013,5476,56348.446 %
6,94751.281 %370.273 %
actor24,49224,43610,99044.975 %
13,38554.776 %610.250 %
singer12,09212,0515,38144.652 %
6,63755.074 %330.274 %
vocalist12,76912,7205,52943.467 %
7,15856.274 %330.259 %
television actor10,48810,4663,86436.920 %
6,58562.918 %170.162 %
artist56,66256,42317,10530.316 %
39,21969.509 %990.175 %
musician22,16922,0436,26528.422 %
15,73371.374 %450.204 %
creator102,536102,11323,94723.451 %
78,03176.416 %1350.132 %
media professional15,18715,1393,05920.206 %
12,05779.642 %230.152 %
writer34,32034,1936,78919.855 %
27,36180.019 %430.126 %
composer11,35211,3122,13618.883 %
9,15580.932 %210.186 %
author44,26644,0588,24118.705 %
35,76081.166 %570.129 %
agent214,247213,31438,45018.025 %
174,67581.886 %1890.089 %
leader21,26321,2063,13014.760 %
18,06285.174 %140.066 %
athlete64,71764,6059,44514.620 %
55,14585.357 %150.023 %
sports figure65,51365,3979,48314.501 %
55,89885.475 %160.024 %
professional76,18775,80510,27013.548 %
65,46086.353 %750.099 %
businessperson11,46311,4391,52813.358 %
9,89686.511 %150.131 %
worker104,066103,60713,39912.933 %
90,10386.966 %1050.101 %
visual artist11,31511,2801,44912.846 %
9,81487.004 %170.151 %
politician34,99234,7284,33012.468 %
30,37287.457 %260.075 %
competitive player43,95043,8525,36812.241 %
38,47787.743 %70.016 %
player43,95343,8555,36812.240 %
38,48087.744 %70.016 %
erudite34,52434,4823,65310.594 %
30,80889.345 %210.061 %
manager14,97214,9361,51510.143 %
13,41389.803 %80.054 %
executive15,32315,2861,54410.101 %
13,73389.840 %90.059 %
leader of organisation15,30615,2691,53910.079 %
13,72189.862 %90.059 %
educator13,75813,7511,37810.021 %
12,36489.913 %90.065 %
researcher31,33731,3013,0349.693 %
28,25190.256 %160.051 %
teacher13,49513,4881,3079.690 %
12,17390.251 %80.059 %
humanities scholar11,38711,3691,0599.315 %
10,30690.650 %40.035 %
scientist24,55124,5332,1758.866 %
22,34591.081 %130.053 %
position60,84860,7054,9268.115 %
55,75891.851 %210.035 %
academic11,75011,7448657.365 %
10,87492.592 %50.043 %
faculty member11,04911,0487787.042 %
10,26692.922 %40.036 %
university teacher11,02811,0277737.010 %
10,25092.954 %40.036 %
combatant13,75913,7246454.700 %
13,06695.205 %130.095 %
association football player28,93128,8461,0133.512 %
27,83296.485 %10.003 %
employee15,31615,2725263.444 %
14,73296.464 %140.092 %
military personnel10,31510,2871831.779 %
10,09298.104 %120.117 %
warrior10,77210,7441891.759 %
10,54398.129 %120.112 %