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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 %

[Portuguese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
235,917233,42542,70918.297 %
190,46781.597 %2490.107 %

[Portuguese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,6341,6341368.323 %total under the threshold of 10000 people1,49791.616 %10.061 %
1810 → 18191,7711,7701417.966 %total under the threshold of 10000 people1,62891.977 %10.056 %
1820 → 18291,8511,8481749.416 %total under the threshold of 10000 people1,67490.584 %00.000 %
1830 → 18392,1672,1641848.503 %total under the threshold of 10000 people1,97991.451 %10.046 %
1840 → 18492,5492,5412549.996 %total under the threshold of 10000 people2,28790.004 %00.000 %
1850 → 18592,9192,9092669.144 %total under the threshold of 10000 people2,64290.822 %10.034 %
1860 → 18693,5033,50042712.200 %total under the threshold of 10000 people3,07387.800 %00.000 %
1870 → 18794,2094,19349511.805 %total under the threshold of 10000 people3,69888.195 %00.000 %
1880 → 18895,6605,64457410.170 %total under the threshold of 10000 people5,06889.794 %20.035 %
1890 → 18996,2886,26678912.592 %total under the threshold of 10000 people5,47787.408 %00.000 %
1900 → 19097,7657,72596812.531 %total under the threshold of 10000 people6,75587.443 %20.026 %
1910 → 19199,2139,1471,11412.179 %total under the threshold of 10000 people8,03187.799 %20.022 %
1920 → 192911,33711,2541,55713.835 %
9,69386.129 %40.036 %
1930 → 193912,51312,4281,70913.751 %
10,71486.209 %50.040 %
1940 → 194916,60016,5142,63215.938 %
13,86383.947 %190.115 %
1950 → 195917,20917,0913,29019.250 %
13,78680.662 %150.088 %
1960 → 196918,76418,6194,25522.853 %
14,34477.040 %200.107 %
1970 → 197922,01021,8785,65925.866 %
16,18873.992 %310.142 %
1980 → 198926,05625,9297,37628.447 %
18,50071.349 %530.204 %
1990 → 199913,33513,2113,87729.347 %
9,29370.343 %410.310 %
2000 → 200971169532446.619 %total under the threshold of 10000 people36852.950 %30.432 %
2010 → 201930291344.828 %total under the threshold of 10000 people1655.172 %00.000 %

[Portuguese Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America39,03039,0299,04223.167 %
29,89176.587 %960.246 %
United Kingdom11,01711,0152,29920.872 %
8,69878.965 %180.163 %
Brazil41,84340,8667,07417.310 %
33,76082.611 %320.078 %
France11,18011,1801,69815.188 %
9,47784.767 %50.045 %
Germany10,88710,8871,62614.935 %
9,25685.019 %50.046 %
Portugal11,39411,3821,65514.541 %
9,72585.442 %20.018 %

[Portuguese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor13,79113,7896,66548.336 %
7,08151.353 %430.312 %
actor24,98124,93011,21344.978 %
13,64054.713 %770.309 %
singer12,36112,3255,52344.811 %
6,75854.832 %440.357 %
vocalist13,04913,0065,67243.611 %
7,28956.043 %450.346 %
television actor10,69410,6753,94336.937 %
6,70962.848 %230.215 %
musician22,58622,4716,44028.659 %
15,97371.083 %580.258 %
artist105,376104,99124,80223.623 %
80,00976.206 %1800.171 %
professional143,181142,46529,47520.689 %
112,78079.163 %2100.147 %
media professional15,64515,6003,20220.526 %
12,36579.263 %330.212 %
worker152,752151,99830,19019.862 %
121,58979.994 %2190.144 %
composer11,27411,2412,20319.598 %
9,01280.171 %260.231 %
creator75,23075,00914,36719.154 %
60,51780.680 %1250.167 %
author45,53545,3508,58318.926 %
36,68680.895 %810.179 %
writer31,17431,0645,74718.501 %
25,26481.329 %530.171 %
agent219,549218,66539,76018.183 %
178,66681.708 %2390.109 %
position10,14910,1261,82418.013 %
8,29081.868 %120.119 %
leader22,31422,2623,40315.286 %
18,84084.629 %190.085 %
athlete65,73065,6379,58714.606 %
56,03585.371 %150.023 %
sports figure66,55966,4639,62414.480 %
56,82385.496 %160.024 %
visual artist11,82811,7921,62513.781 %
10,14786.050 %200.170 %
profession28,04627,9823,59212.837 %
24,34687.006 %440.157 %
job28,06528,0013,59212.828 %
24,36587.015 %440.157 %
work28,06528,0013,59212.828 %
24,36587.015 %440.157 %
politician36,17735,8884,52712.614 %
31,33187.302 %300.084 %
competitive player44,33744,2575,39312.186 %
38,85487.792 %100.023 %
player44,34044,2605,39312.185 %
38,85787.793 %100.023 %
erudite36,11236,0753,95010.949 %
32,09788.973 %280.078 %
manager15,49715,4661,67110.804 %
13,78489.125 %110.071 %
executive15,93915,9071,70310.706 %
14,19289.219 %120.075 %
leader of organisation15,91815,8861,69610.676 %
14,17889.248 %120.076 %
educator14,46214,4551,53910.647 %
12,90689.284 %100.069 %
businessperson23,22523,2062,44610.540 %
20,73989.369 %210.090 %
teacher14,17614,1691,45610.276 %
12,70489.661 %90.064 %
researcher32,68732,6543,27110.017 %
29,36089.912 %230.070 %
humanities scholar12,19512,1771,1619.534 %
11,00890.400 %80.066 %
scientist25,21925,2062,3099.161 %
22,88190.776 %160.063 %
academic12,30512,3009677.862 %
11,32792.089 %60.049 %
cadre11,54511,5458657.492 %
10,67592.464 %50.043 %
faculty member11,54311,5438637.476 %
10,67592.480 %50.043 %
university teacher11,50811,5088577.447 %
10,64692.510 %50.043 %
combatant14,15214,1196774.795 %
13,42895.106 %140.099 %
employee15,76715,7286013.821 %
15,11396.090 %140.089 %
association football player29,16629,0991,0213.509 %
28,07696.484 %20.007 %
military personnel10,54510,5191891.797 %
10,31798.080 %130.124 %
warrior11,02611,0001951.773 %
10,79298.109 %130.118 %