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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
3,787,3713,617,627635,73117.573 %
2,980,62682.392 %1,2700.035 %

[Polish Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
353,814349,32656,26216.106 %
292,97283.868 %920.026 %

[Polish Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18092,0302,0171617.982 %total under the threshold of 10000 people1,85692.018 %00.000 %
1810 → 18192,2932,2811807.891 %total under the threshold of 10000 people2,10192.109 %00.000 %
1820 → 18292,3642,3521877.951 %total under the threshold of 10000 people2,16592.049 %00.000 %
1830 → 18392,7262,7112107.746 %total under the threshold of 10000 people2,50192.254 %00.000 %
1840 → 18493,1703,1522798.852 %total under the threshold of 10000 people2,87291.117 %10.032 %
1850 → 18593,6953,6733028.222 %total under the threshold of 10000 people3,37191.778 %00.000 %
1860 → 18695,2485,2124829.248 %total under the threshold of 10000 people4,73090.752 %00.000 %
1870 → 18796,8836,8325528.080 %total under the threshold of 10000 people6,27991.906 %10.015 %
1880 → 188910,33910,1947547.397 %
9,43892.584 %20.020 %
1890 → 189914,11613,8381,0897.870 %
12,74892.123 %10.007 %
1900 → 190915,90915,6781,64310.480 %
14,03589.520 %00.000 %
1910 → 191914,71514,4971,69311.678 %
12,80188.301 %30.021 %
1920 → 192918,57218,3062,61714.296 %
15,68585.682 %40.022 %
1930 → 193920,51720,2972,75313.564 %
17,54186.422 %30.015 %
1940 → 194925,08624,8963,65714.689 %
21,23185.279 %80.032 %
1950 → 195927,99627,7214,59416.572 %
23,12283.410 %50.018 %
1960 → 196928,90528,6665,42018.907 %
23,23481.051 %120.042 %
1970 → 197933,64833,3257,27421.827 %
26,03778.131 %140.042 %
1980 → 198940,52040,21010,12725.185 %
30,07474.792 %90.022 %
1990 → 199921,68821,0566,02528.614 %
15,02071.334 %110.052 %
2000 → 200963459432855.219 %total under the threshold of 10000 people26444.444 %20.337 %
2010 → 20192323939.130 %total under the threshold of 10000 people1460.870 %00.000 %

[Polish Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America34,97734,8818,00222.941 %
26,84776.967 %320.092 %
Poland52,27451,68210,00219.353 %
41,67480.635 %60.012 %
United Kingdom12,37112,3692,27018.352 %
10,09181.583 %80.065 %
Germany16,84616,8452,67215.862 %
14,16884.108 %50.030 %
France13,74513,7432,11315.375 %
11,62684.596 %40.029 %
Soviet Union11,46311,4611,59713.934 %
9,86286.048 %20.017 %

[Polish Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor13,93213,9095,97742.972 %
7,91756.920 %150.108 %
singer10,09310,0734,26642.351 %
5,78757.451 %200.199 %
vocalist10,65710,6204,29140.405 %
6,30959.407 %200.188 %
actor23,65723,5929,34739.619 %
14,22160.279 %240.102 %
athletics competitor13,47313,4574,92336.583 %
8,52563.350 %90.067 %
winter sports practitioner15,08415,0304,07127.086 %
10,95872.908 %10.007 %
artist58,23457,67414,92025.870 %
42,71474.061 %400.069 %
musician20,57420,4375,09724.940 %
15,31574.938 %250.122 %
creator116,419115,39723,58620.439 %
91,75379.511 %580.050 %
writer39,65539,4807,37118.670 %
32,08081.256 %290.073 %
media professional15,84015,7342,82817.974 %
12,89381.944 %130.083 %
author50,73450,4398,80617.459 %
41,60082.476 %330.065 %
journalist10,12310,0221,72817.242 %
8,28982.708 %50.050 %
athlete129,609128,44221,92117.067 %
106,50482.920 %170.013 %
sports figure130,440129,24321,95716.989 %
107,26982.998 %170.013 %
agent320,967318,29952,19816.399 %
266,01183.573 %900.028 %
composer10,42710,3951,69716.325 %
8,68683.559 %120.115 %
non-fiction writer11,90411,8701,65513.943 %
10,21086.015 %50.042 %
martial artist13,56812,8841,69713.171 %
11,18786.829 %00.000 %
professional92,35291,86912,09613.167 %
79,73986.796 %340.037 %
politician46,88646,8126,14813.133 %
40,65186.839 %130.028 %
position51,27051,0176,52612.792 %
44,47987.185 %120.024 %
erudite44,84744,5755,61412.595 %
38,95187.383 %100.022 %
worker134,353133,46716,24512.172 %
117,17987.796 %430.032 %
visual artist15,14514,8311,79812.123 %
13,02587.823 %80.054 %
social scientist12,41712,3381,48612.044 %
10,85187.948 %10.008 %
humanities scholar19,43419,3452,28111.791 %
17,05988.183 %50.026 %
researcher41,95641,7054,91011.773 %
36,78788.208 %80.019 %
businessperson10,60010,5541,23811.730 %
9,30888.194 %80.076 %
educator14,28414,2431,66811.711 %
12,57288.268 %30.021 %
teacher13,96613,9261,59511.453 %
12,32888.525 %30.022 %
leader25,91425,7942,84011.010 %
22,94788.963 %70.027 %
scientist26,95526,7912,81710.515 %
23,97089.470 %40.015 %
competitive player66,62966,4046,6299.983 %
59,77190.011 %40.006 %
academic11,56711,5471,0358.963 %
10,51091.019 %20.017 %
manager19,17819,0601,6368.583 %
17,41991.390 %50.026 %
executive19,70619,5881,6598.469 %
17,92491.505 %50.026 %
leader of organisation19,69119,5731,6578.466 %
17,91191.509 %50.026 %
faculty member10,31610,3148718.445 %
9,44191.536 %20.019 %
university teacher10,30210,3008678.417 %
9,43191.563 %20.019 %
combatant28,67827,9852,0047.161 %
25,97692.821 %50.018 %
director12,05311,9787105.928 %
11,26594.047 %30.025 %
believer21,18721,1749554.510 %
20,21595.471 %40.019 %
clergy20,88920,8779004.311 %
19,97395.670 %40.019 %
cleric20,88920,8779004.311 %
19,97395.670 %40.019 %
employee23,58223,5178213.491 %
22,68996.479 %70.030 %
minister18,70218,6956383.413 %
18,05496.571 %30.016 %
clergyman18,71918,7126383.410 %
18,07196.574 %30.016 %
military personnel14,86914,8602982.005 %
14,55797.961 %50.034 %
warrior15,09115,0823011.996 %
14,77697.971 %50.033 %
association football player41,44141,3453790.917 %
40,96699.083 %00.000 %
priest17,75817,751640.361 %
17,68499.623 %30.017 %
presbyter14,43814,434100.069 %
14,42499.931 %00.000 %
Catholic priest13,90513,90110.007 %
13,90099.993 %00.000 %