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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 %

[Catalan Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
164,829164,82129,47817.885 %
135,18882.021 %1550.094 %

[Catalan Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,3351,3351229.139 %total under the threshold of 10000 people1,21290.787 %10.075 %
1810 → 18191,6831,6831478.734 %total under the threshold of 10000 people1,53691.266 %00.000 %
1820 → 18291,7521,75218010.274 %total under the threshold of 10000 people1,57289.726 %00.000 %
1830 → 18391,9461,9461839.404 %total under the threshold of 10000 people1,76390.596 %00.000 %
1840 → 18492,3792,37927311.475 %total under the threshold of 10000 people2,10688.525 %00.000 %
1850 → 18592,6462,64632812.396 %total under the threshold of 10000 people2,31887.604 %00.000 %
1860 → 18693,2913,29143913.339 %total under the threshold of 10000 people2,85286.661 %00.000 %
1870 → 18794,3894,38953312.144 %total under the threshold of 10000 people3,85687.856 %00.000 %
1880 → 18895,8295,82967311.546 %total under the threshold of 10000 people5,15588.437 %10.017 %
1890 → 18995,8935,89384114.271 %total under the threshold of 10000 people5,05185.712 %10.017 %
1900 → 19097,1667,1661,03914.499 %total under the threshold of 10000 people6,12785.501 %00.000 %
1910 → 19196,7096,7091,15317.186 %total under the threshold of 10000 people5,55382.769 %30.045 %
1920 → 19297,6687,6681,33717.436 %total under the threshold of 10000 people6,32882.525 %30.039 %
1930 → 19397,7507,7501,37517.742 %total under the threshold of 10000 people6,37082.194 %50.065 %
1940 → 194910,26910,2692,05920.051 %
8,20179.862 %90.088 %
1950 → 195910,09510,0952,48024.567 %
7,60575.334 %100.099 %
1960 → 196910,58610,5852,87227.133 %
7,70172.754 %120.113 %
1970 → 197910,66610,6663,13329.374 %
7,51470.448 %190.178 %
1980 → 19899,9829,9823,19331.988 %total under the threshold of 10000 people6,75267.642 %370.371 %
1990 → 19994,8454,8451,54431.868 %total under the threshold of 10000 people3,28067.699 %210.433 %
2000 → 20092062069948.058 %total under the threshold of 10000 people10751.942 %00.000 %
2010 → 20191515960.000 %total under the threshold of 10000 people640.000 %00.000 %
2020 → 20292200.000 %total under the threshold of 10000 people2100.000 %00.000 %

[Catalan Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America14,04614,0464,11629.304 %
9,86770.248 %630.449 %
Spain41,12241,1227,07417.202 %
34,02982.751 %190.046 %
France10,99210,9921,62914.820 %
9,35885.135 %50.045 %

[Catalan Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
media professional10,35010,3502,29322.155 %
8,03777.652 %200.193 %
artist77,98377,97916,57621.257 %
61,29478.603 %1090.140 %
musician20,08220,0824,08620.347 %
15,95879.464 %380.189 %
professional106,853106,84820,87719.539 %
85,84280.340 %1290.121 %
writer28,04728,0465,41719.315 %
22,59780.571 %320.114 %
worker114,300114,29521,53518.842 %
92,62681.041 %1340.117 %
creator61,26361,26211,23818.344 %
49,94781.530 %770.126 %
agent154,946154,93827,58117.801 %
127,20782.102 %1500.097 %
profession23,10123,1014,09017.705 %
18,98382.174 %280.121 %
job23,12623,1264,09117.690 %
19,00782.189 %280.121 %
work23,12623,1264,09117.690 %
19,00782.189 %280.121 %
visual artist11,39011,3871,97817.371 %
9,39382.489 %160.141 %
author42,69842,6977,41017.355 %
35,23982.533 %480.112 %
educator13,13313,1332,27617.330 %
10,84982.609 %80.061 %
teacher12,79712,7972,20117.199 %
10,58882.738 %80.063 %
erudite30,85530,8555,08516.480 %
25,74683.442 %240.078 %
researcher27,19827,1984,09615.060 %
23,08084.859 %220.081 %
politician29,52429,5234,42714.995 %
25,07984.947 %170.058 %
scientist17,31717,3172,59114.962 %
14,71284.957 %140.081 %
athlete39,67039,6705,62614.182 %
34,03385.790 %110.028 %
sports figure40,09140,0915,65714.110 %
34,42385.862 %110.027 %
businessperson15,98815,9882,21713.867 %
13,75586.033 %160.100 %
leader19,45619,4562,59613.343 %
16,84386.570 %170.087 %
humanities scholar14,01214,0121,75512.525 %
12,25087.425 %70.050 %
manager12,21312,2131,33810.956 %
10,86388.946 %120.098 %
composer12,90812,9081,38710.745 %
11,50689.139 %150.116 %
leader of organisation12,58912,5891,34610.692 %
11,23189.213 %120.095 %
executive12,59912,5991,34710.691 %
11,24089.213 %120.095 %
competitive player21,46021,4602,20310.266 %
19,25589.725 %20.009 %
player21,56421,5642,20810.239 %
19,35489.751 %20.009 %
combatant10,61510,6155465.144 %
10,05794.743 %120.113 %
employee12,31812,3185464.433 %
11,76095.470 %120.097 %
association football player14,60314,6035643.862 %
14,03996.138 %00.000 %