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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 %

[Catalan Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
162,147161,83128,53117.630 %
133,14682.275 %1540.095 %

[Catalan Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,3191,3191219.174 %total under the threshold of 10000 people1,19790.751 %10.076 %
1810 → 18191,6641,6641418.474 %total under the threshold of 10000 people1,52391.526 %00.000 %
1820 → 18291,7381,73818110.414 %total under the threshold of 10000 people1,55789.586 %00.000 %
1830 → 18391,9281,9271809.341 %total under the threshold of 10000 people1,74790.659 %00.000 %
1840 → 18492,3592,35926811.361 %total under the threshold of 10000 people2,09188.639 %00.000 %
1850 → 18592,6262,62532812.495 %total under the threshold of 10000 people2,29787.505 %00.000 %
1860 → 18693,2723,27243213.203 %total under the threshold of 10000 people2,84086.797 %00.000 %
1870 → 18794,3514,35153012.181 %total under the threshold of 10000 people3,82187.819 %00.000 %
1880 → 18895,7295,72866611.627 %total under the threshold of 10000 people5,06088.338 %20.035 %
1890 → 18995,8315,83082614.168 %total under the threshold of 10000 people5,00385.815 %10.017 %
1900 → 19097,0797,0771,01814.385 %total under the threshold of 10000 people6,05985.615 %00.000 %
1910 → 19196,5616,5601,12717.180 %total under the threshold of 10000 people5,42982.759 %40.061 %
1920 → 19297,4427,4361,28717.308 %total under the threshold of 10000 people6,14682.652 %30.040 %
1930 → 19397,4927,4841,29717.330 %total under the threshold of 10000 people6,18282.603 %50.067 %
1940 → 194910,04710,0371,99519.876 %
8,03380.034 %90.090 %
1950 → 19599,8839,8632,38924.222 %total under the threshold of 10000 people7,46375.667 %110.112 %
1960 → 196910,35410,3222,77326.865 %
7,53773.019 %120.116 %
1970 → 197910,41710,4072,99628.788 %
7,39371.039 %180.173 %
1980 → 19899,8259,8203,09431.507 %total under the threshold of 10000 people6,69468.167 %320.326 %
1990 → 19994,7334,7321,47431.150 %total under the threshold of 10000 people3,23968.449 %190.402 %
2000 → 20091841848345.109 %total under the threshold of 10000 people10154.891 %00.000 %
2010 → 20191212758.333 %total under the threshold of 10000 people541.667 %00.000 %

[Catalan Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America13,75713,7574,00329.098 %
9,69770.488 %570.414 %
Spain40,80840,8066,90816.929 %
33,87883.022 %200.049 %
France10,77210,7721,57514.621 %
9,19085.314 %70.065 %

[Catalan Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
media professional10,11410,0882,22222.026 %
7,84677.776 %200.198 %
artist76,37976,23916,04221.042 %
60,09178.819 %1060.139 %
musician19,69319,6484,01020.409 %
15,60579.423 %330.168 %
writer27,47427,4575,26419.172 %
22,16180.712 %320.117 %
creator60,10660,04210,90018.154 %
49,06781.721 %750.125 %
agent151,852151,68826,49017.463 %
125,05082.439 %1480.098 %
author41,88041,8317,21317.243 %
34,57282.647 %460.110 %
visual artist11,19811,1871,91017.073 %
9,26382.801 %140.125 %
educator12,79712,7942,17717.016 %
10,60982.922 %80.063 %
teacher12,47412,4712,10716.895 %
10,35683.041 %80.064 %
erudite30,25830,2514,92016.264 %
25,30783.657 %240.079 %
profession16,29116,2842,61016.028 %
13,65883.874 %160.098 %
job16,32116,3142,61316.017 %
13,68583.885 %160.098 %
work16,32116,3142,61316.017 %
13,68583.885 %160.098 %
professional60,40660,3279,57115.865 %
50,69184.027 %650.108 %
worker82,53982,44112,68615.388 %
69,65884.494 %970.118 %
position16,10016,0972,46915.338 %
13,61984.606 %90.056 %
researcher26,69626,6923,96914.870 %
22,70185.048 %220.082 %
scientist16,94916,9472,50914.805 %
14,42485.112 %140.083 %
politician29,22129,2184,27014.614 %
24,93285.331 %160.055 %
athlete38,46638,4645,23013.597 %
33,22586.379 %90.023 %
sports figure38,92938,9275,26413.523 %
33,65486.454 %90.023 %
leader18,92618,8692,48313.159 %
16,36886.745 %180.095 %
humanities scholar13,80013,7981,70512.357 %
12,08687.592 %70.051 %
composer12,71312,6881,36610.766 %
11,31289.155 %100.079 %
manager11,76111,7051,24010.594 %
10,44989.270 %160.137 %
executive12,14312,0871,25010.342 %
10,82189.526 %160.132 %
leader of organisation12,13412,0781,24910.341 %
10,81389.526 %160.132 %
competitive player20,60120,6011,9579.500 %
18,64290.491 %20.010 %
player20,70520,7051,9629.476 %
18,74190.514 %20.010 %
combatant10,47710,4725224.985 %
9,94094.920 %100.095 %
employee12,13612,1315034.146 %
11,61795.763 %110.091 %
association football player14,41414,4145563.857 %
13,85896.143 %00.000 %