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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 %

[Arabic Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
460,146459,58174,37916.184 %
385,02083.776 %1820.040 %

[Arabic Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18092,3632,3631677.067 %total under the threshold of 10000 people2,19692.933 %00.000 %
1810 → 18193,0303,0262046.742 %total under the threshold of 10000 people2,82293.258 %00.000 %
1820 → 18293,5843,5832847.926 %total under the threshold of 10000 people3,29992.074 %00.000 %
1830 → 18393,9213,9163809.704 %total under the threshold of 10000 people3,53590.271 %10.026 %
1840 → 18494,5394,53749810.976 %total under the threshold of 10000 people4,03989.024 %00.000 %
1850 → 18595,6905,68657010.025 %total under the threshold of 10000 people5,11689.975 %00.000 %
1860 → 18697,4447,44185611.504 %total under the threshold of 10000 people6,58488.483 %10.013 %
1870 → 18799,0539,0471,02811.363 %total under the threshold of 10000 people8,01988.637 %00.000 %
1880 → 188911,45311,4461,18610.362 %
10,25789.612 %30.026 %
1890 → 189913,09113,0821,52611.665 %
11,55688.335 %00.000 %
1900 → 190915,85315,8481,96912.424 %
13,87887.569 %10.006 %
1910 → 191918,16718,1622,38713.143 %
15,77186.835 %40.022 %
1920 → 192923,24523,2353,13713.501 %
20,09586.486 %30.013 %
1930 → 193928,32828,3093,59512.699 %
24,70687.273 %80.028 %
1940 → 194938,38038,3495,81615.166 %
32,51584.787 %180.047 %
1950 → 195941,65641,6267,18317.256 %
34,42582.701 %180.043 %
1960 → 196943,74143,7068,34419.091 %
35,34380.865 %190.043 %
1970 → 197946,48846,4659,56620.588 %
36,87479.359 %250.054 %
1980 → 198958,67258,64911,75820.048 %
46,85879.896 %330.056 %
1990 → 199935,18035,1586,72319.122 %
28,41080.807 %250.071 %
2000 → 20091,2411,23942934.625 %total under the threshold of 10000 people81065.375 %00.000 %
2010 → 201925251144.000 %total under the threshold of 10000 people1456.000 %00.000 %
2020 → 20292200.000 %total under the threshold of 10000 people2100.000 %00.000 %

[Arabic Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan11,50711,5072,28119.823 %
9,22480.160 %20.017 %
Canada19,21419,2143,44817.945 %
15,75982.018 %70.036 %
Australia17,19817,1983,03617.653 %
14,15882.324 %40.023 %
United States of America148,517148,51725,21616.979 %
123,20782.958 %940.063 %
France14,02514,0252,23915.964 %
11,78684.036 %00.000 %
Germany16,46516,4652,48715.105 %
13,97484.871 %40.024 %
United Kingdom44,57144,5706,43714.442 %
38,11385.513 %200.045 %

[Arabic Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor19,86319,8639,80749.373 %
10,03050.496 %260.131 %
actor40,08640,08417,83444.492 %
22,19955.381 %510.127 %
singer18,13718,1327,79342.979 %
10,30956.855 %300.165 %
vocalist18,49018,4857,82342.321 %
10,63257.517 %300.162 %
performing artist15,28015,2805,97839.123 %
9,28560.766 %170.111 %
television actor16,07216,0725,15032.043 %
10,90267.832 %200.124 %
artist180,529180,43348,25626.745 %
132,03173.175 %1460.081 %
musician36,39636,3829,46426.013 %
26,87673.872 %420.115 %
poet11,57211,5602,92225.277 %
8,63574.697 %30.026 %
writer57,37357,33313,90024.244 %
43,38575.672 %480.084 %
journalist16,17016,1583,82823.691 %
12,32076.247 %100.062 %
creator125,440125,36329,09623.209 %
96,15476.700 %1130.090 %
author82,77582,71819,05323.034 %
63,59876.885 %670.081 %
media professional27,37627,3626,28122.955 %
21,05776.957 %240.088 %
professional247,415247,28054,52522.050 %
192,60077.887 %1550.063 %
worker264,118263,96955,90121.177 %
207,90978.763 %1590.060 %
visual artist19,02719,0233,90120.507 %
15,10779.414 %150.079 %
composer17,53317,5293,23318.444 %
14,27681.442 %200.114 %
non-fiction writer13,67413,6682,48718.196 %
11,17381.746 %80.059 %
screenwriter12,90112,9002,21617.178 %
10,67682.760 %80.062 %
profession45,74945,7327,83617.135 %
37,86482.795 %320.070 %
job45,78645,7697,84117.132 %
37,89682.798 %320.070 %
work45,78645,7697,84117.132 %
37,89682.798 %320.070 %
agent447,087446,91972,28416.174 %
374,45483.786 %1810.040 %
educator20,56120,5593,26815.896 %
17,28484.070 %70.034 %
social scientist12,58312,5811,98115.746 %
10,59784.230 %30.024 %
erudite53,92653,9028,46715.708 %
45,40984.244 %260.048 %
teacher20,11720,1153,07215.272 %
17,03684.693 %70.035 %
director10,22110,2201,49814.658 %
8,71885.303 %40.039 %
researcher47,05347,0316,84414.552 %
40,16585.401 %220.047 %
scientist32,88132,8744,55213.847 %
28,30486.098 %180.055 %
entrepreneur12,46512,4651,69113.566 %
10,76686.370 %80.064 %
humanities scholar20,50620,4912,73113.328 %
17,75686.653 %40.020 %
position11,19011,1891,43912.861 %
9,74387.077 %70.063 %
leader35,37635,3624,40412.454 %
30,94687.512 %120.034 %
academic16,55816,5562,03212.273 %
14,52087.702 %40.024 %
businessperson35,59435,5904,03011.323 %
31,55088.648 %100.028 %
cadre14,24114,2411,52210.687 %
12,71789.299 %20.014 %
faculty member14,23514,2351,51910.671 %
12,71489.315 %20.014 %
manager30,07830,0653,18610.597 %
26,87189.376 %80.027 %
executive31,03831,0253,24810.469 %
27,76989.505 %80.026 %
university teacher14,09414,0941,47510.465 %
12,61789.520 %20.014 %
leader of organisation30,97130,9583,23210.440 %
27,71889.534 %80.026 %
athlete182,750182,73716,1608.843 %
166,56591.150 %120.007 %
sports figure185,961185,94116,3148.774 %
169,61491.219 %130.007 %
basketball player10,02910,0298458.426 %
9,18491.574 %00.000 %
director18,19818,1911,5328.422 %
16,65691.562 %30.016 %
administrator13,66713,6601,1038.075 %
12,55491.903 %30.022 %
politician51,58651,5704,1408.028 %
47,41991.951 %110.021 %
public employee13,61613,6091,0898.002 %
12,51791.976 %30.022 %
civil servant13,60313,5961,0867.988 %
12,50791.990 %30.022 %
bureaucrat13,62313,6161,0867.976 %
12,52792.002 %30.022 %
lawyer13,46413,4641,0267.620 %
12,43892.380 %00.000 %
jurist16,86716,8661,2317.299 %
15,63592.701 %00.000 %
competitive player144,209144,2019,7656.772 %
134,43193.225 %50.003 %
player144,215144,2079,7656.772 %
134,43793.225 %50.003 %
employee26,80726,7871,4345.353 %
25,34594.617 %80.030 %
combatant23,56823,5538083.431 %
22,73796.535 %80.034 %
coaching14,40314,4014222.930 %
13,97797.056 %20.014 %
coach14,40214,4004212.924 %
13,97797.063 %20.014 %
warrior14,08414,0713492.480 %
13,71697.477 %60.043 %
military personnel13,85913,8463382.441 %
13,50297.516 %60.043 %
association football player74,82774,8201,7432.330 %
73,07697.669 %10.001 %
baseball player11,49011,4891761.532 %
11,31398.468 %00.000 %
American football player12,99912,999270.208 %
12,97299.792 %00.000 %
gridiron football player13,64313,643270.198 %
13,61699.802 %00.000 %