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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,903,8623,739,655663,85017.752 %
3,074,31882.209 %1,4870.040 %

[Portuguese Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
234,041231,56642,20218.225 %
189,14581.681 %2190.095 %

[Portuguese Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,6151,6151358.359 %total under the threshold of 10000 people1,47991.579 %10.062 %
1810 → 18191,7501,7491408.005 %total under the threshold of 10000 people1,60991.995 %00.000 %
1820 → 18291,8291,8261709.310 %total under the threshold of 10000 people1,65690.690 %00.000 %
1830 → 18392,1432,1401788.318 %total under the threshold of 10000 people1,96191.636 %10.047 %
1840 → 18492,5132,5032419.628 %total under the threshold of 10000 people2,26290.372 %00.000 %
1850 → 18592,8822,8752528.765 %total under the threshold of 10000 people2,62291.200 %10.035 %
1860 → 18693,4653,46141011.846 %total under the threshold of 10000 people3,05188.154 %00.000 %
1870 → 18794,1534,13647711.533 %total under the threshold of 10000 people3,65988.467 %00.000 %
1880 → 18895,6135,59656010.007 %total under the threshold of 10000 people5,03489.957 %20.036 %
1890 → 18996,2466,22477512.452 %total under the threshold of 10000 people5,44987.548 %00.000 %
1900 → 19097,6927,65595112.423 %total under the threshold of 10000 people6,70287.551 %20.026 %
1910 → 19199,1399,0761,10012.120 %total under the threshold of 10000 people7,97387.847 %30.033 %
1920 → 192911,24311,1651,53713.766 %
9,62386.189 %50.045 %
1930 → 193912,42612,3421,68813.677 %
10,64986.283 %50.041 %
1940 → 194916,46916,3882,60015.865 %
13,77084.025 %180.110 %
1950 → 195917,06716,9443,26419.263 %
13,66680.654 %140.083 %
1960 → 196918,62418,4804,21522.808 %
14,24977.105 %160.087 %
1970 → 197921,90921,7765,60725.749 %
16,14374.132 %260.119 %
1980 → 198925,95025,8167,32328.366 %
18,44771.456 %460.178 %
1990 → 199913,14013,0213,82329.360 %
9,16870.409 %300.230 %
2000 → 200967765930646.434 %total under the threshold of 10000 people35153.263 %20.303 %
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 America38,65638,6548,93023.102 %
29,64676.696 %780.202 %
United Kingdom10,91710,9152,26920.788 %
8,63079.066 %160.147 %
Brazil41,75040,7547,03817.269 %
33,68682.657 %300.074 %
France11,06311,0631,67015.095 %
9,38784.850 %60.054 %
Germany10,85210,8521,61414.873 %
9,23385.081 %50.046 %
Portugal11,31511,3001,64014.513 %
9,65985.478 %10.009 %

[Portuguese Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor13,66813,6666,61648.412 %
7,01151.303 %390.285 %
actor24,75124,69911,10744.969 %
13,52354.751 %690.279 %
singer12,26412,2285,47044.733 %
6,71854.939 %400.327 %
vocalist12,93912,8955,61743.560 %
7,23856.130 %400.310 %
television actor10,59710,5783,91136.973 %
6,64762.838 %200.189 %
musician22,44122,3216,37428.556 %
15,89671.215 %510.228 %
artist104,372103,97424,46123.526 %
79,35776.324 %1560.150 %
media professional15,48715,4403,15420.427 %
12,26079.404 %260.168 %
composer11,53911,5002,19319.070 %
9,28580.739 %220.191 %
creator74,76774,53414,17819.022 %
60,24880.833 %1080.145 %
author45,36045,1618,47618.768 %
36,61681.079 %690.153 %
writer30,76730,6505,65018.434 %
24,95581.419 %450.147 %
agent216,742215,84038,79817.975 %
176,83181.927 %2110.098 %
leader21,98921,9343,32915.177 %
18,58084.709 %250.114 %
position17,92917,9272,57614.369 %
15,34085.569 %110.061 %
athlete64,41864,3249,03614.048 %
55,27885.937 %100.016 %
sports figure65,32765,2309,09713.946 %
56,12286.037 %110.017 %
professional78,08977,68810,71013.786 %
66,88586.094 %930.120 %
visual artist11,65811,6231,56313.447 %
10,04286.398 %180.155 %
businessperson11,68311,6621,56813.445 %
10,07986.426 %150.129 %
worker106,475106,00713,90113.113 %
91,98686.774 %1200.113 %
politician35,84635,5574,45312.524 %
31,07687.398 %280.079 %
competitive player43,13943,0594,86611.301 %
38,18688.683 %70.016 %
player43,14243,0624,86611.300 %
38,18988.684 %70.016 %
erudite35,64735,6073,84710.804 %
31,73489.123 %260.073 %
manager15,30615,2721,62010.608 %
13,63089.248 %220.144 %
executive15,73915,7041,65110.513 %
14,03089.340 %230.146 %
leader of organisation15,71815,6831,64410.483 %
14,01689.371 %230.147 %
educator14,22114,2141,48510.447 %
12,71889.475 %110.077 %
teacher13,94613,9391,41010.116 %
12,51989.813 %100.072 %
profession19,20619,1761,92110.018 %
17,23289.862 %230.120 %
job19,22919,1991,92210.011 %
17,25489.869 %230.120 %
work19,22919,1991,92210.011 %
17,25489.869 %230.120 %
researcher32,30832,2753,1919.887 %
29,06390.048 %210.065 %
humanities scholar12,01011,9911,1329.440 %
10,85190.493 %80.067 %
scientist24,97424,9592,2609.055 %
22,68590.889 %140.056 %
academic12,11412,1099367.730 %
11,16692.212 %70.058 %
faculty member11,37511,3758397.376 %
10,53092.571 %60.053 %
university teacher11,35211,3528347.347 %
10,51292.600 %60.053 %
combatant13,98913,9556584.715 %
13,28495.192 %130.093 %
employee15,58415,5435903.796 %
14,93896.108 %150.097 %
association football player29,13329,0661,0203.509 %
28,04596.487 %10.003 %
military personnel10,44910,4221871.794 %
10,22298.081 %130.125 %
warrior10,91810,8911921.763 %
10,68698.118 %130.119 %