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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 %

[Catalan Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
158,140157,84427,29917.295 %
130,40782.618 %1380.087 %

[Catalan Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,3031,3031168.903 %total under the threshold of 10000 people1,18691.021 %10.077 %
1810 → 18191,6431,6431448.764 %total under the threshold of 10000 people1,49991.236 %00.000 %
1820 → 18291,7141,71418110.560 %total under the threshold of 10000 people1,53389.440 %00.000 %
1830 → 18391,8911,8901799.471 %total under the threshold of 10000 people1,71190.529 %00.000 %
1840 → 18492,3162,31626311.356 %total under the threshold of 10000 people2,05388.644 %00.000 %
1850 → 18592,5702,56931912.417 %total under the threshold of 10000 people2,25087.583 %00.000 %
1860 → 18693,2113,21141412.893 %total under the threshold of 10000 people2,79787.107 %00.000 %
1870 → 18794,2594,25950711.904 %total under the threshold of 10000 people3,75288.096 %00.000 %
1880 → 18895,5545,55463911.505 %total under the threshold of 10000 people4,91388.459 %20.036 %
1890 → 18995,7165,71578713.771 %total under the threshold of 10000 people4,92786.212 %10.017 %
1900 → 19096,8716,87096814.090 %total under the threshold of 10000 people5,90285.910 %00.000 %
1910 → 19196,3016,3001,08417.206 %total under the threshold of 10000 people5,21182.714 %50.079 %
1920 → 19297,0767,0721,21017.110 %total under the threshold of 10000 people5,86082.862 %20.028 %
1930 → 19397,2167,2111,22416.974 %total under the threshold of 10000 people5,98382.970 %40.055 %
1940 → 19499,7569,7521,90919.575 %total under the threshold of 10000 people7,83580.342 %80.082 %
1950 → 19599,5359,5172,28223.978 %total under the threshold of 10000 people7,22675.927 %90.095 %
1960 → 19699,9719,9482,62426.377 %total under the threshold of 10000 people7,31373.512 %110.111 %
1970 → 197910,01810,0092,80728.045 %
7,18671.795 %160.160 %
1980 → 19899,6009,6002,96430.875 %total under the threshold of 10000 people6,60968.844 %270.281 %
1990 → 19994,6124,6121,39430.225 %total under the threshold of 10000 people3,19969.363 %190.412 %
2000 → 20091691697544.379 %total under the threshold of 10000 people9455.621 %00.000 %
2010 → 20191111545.455 %total under the threshold of 10000 people654.545 %00.000 %

[Catalan Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America13,40313,4033,89129.031 %
9,45870.566 %540.403 %
Spain39,89039,8886,58616.511 %
33,28883.454 %140.035 %
France10,53010,5301,53414.568 %
8,99285.394 %40.038 %

[Catalan Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
artist38,31738,2138,86423.196 %
29,27976.621 %700.183 %
creator73,31273,18515,18720.752 %
57,90479.120 %940.128 %
musician18,95318,9033,82620.240 %
15,04779.601 %300.159 %
writer27,77527,7645,50119.813 %
22,23280.075 %310.112 %
agent148,032147,88625,41817.188 %
122,33582.723 %1330.090 %
author40,06840,0296,83817.083 %
33,15382.822 %380.095 %
educator12,11112,1092,00016.517 %
10,10383.434 %60.050 %
teacher11,81011,8081,93516.387 %
9,86783.562 %60.051 %
visual artist10,86010,8531,77116.318 %
9,06783.544 %150.138 %
erudite28,97528,9684,62315.959 %
24,32783.979 %180.062 %
professional58,36158,2999,10615.619 %
49,13684.283 %570.098 %
worker79,97279,89012,07015.108 %
67,73684.787 %840.105 %
scientist16,13216,1272,36014.634 %
13,75585.292 %120.074 %
researcher25,48525,4793,71714.588 %
21,74585.345 %170.067 %
politician28,69228,6904,17014.535 %
24,50485.410 %160.056 %
athlete38,08238,0815,16013.550 %
32,91286.426 %90.024 %
sports figure38,47238,4715,18813.485 %
33,27486.491 %90.023 %
leader17,95717,9132,28312.745 %
15,61787.182 %130.073 %
humanities scholar13,21713,2161,59412.061 %
11,61887.909 %40.030 %
composer12,19312,1691,29310.625 %
10,86689.292 %100.082 %
manager11,11611,0731,13510.250 %
9,92889.660 %100.090 %
leader of organisation11,40711,3641,14210.049 %
10,21289.863 %100.088 %
executive11,41411,3711,14210.043 %
10,21989.869 %100.088 %
position40,42440,3803,9409.757 %
36,42190.196 %190.047 %
competitive player20,75220,7521,9839.556 %
18,76790.435 %20.010 %
player20,85620,8561,9889.532 %
18,86690.458 %20.010 %
combatant10,30910,3045144.988 %
9,78294.934 %80.078 %
employee11,91611,9114824.047 %
11,42095.878 %90.076 %
association football player14,28414,2845483.836 %
13,73696.164 %00.000 %