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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 %

[Persian Wikipedia] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
166,270163,90033,31520.326 %
130,32879.517 %2570.157 %

[Persian Wikipedia] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 1809593593427.083 %total under the threshold of 10000 people55192.917 %00.000 %
1810 → 1819696696334.741 %total under the threshold of 10000 people66395.259 %00.000 %
1820 → 1829750746405.362 %total under the threshold of 10000 people70694.638 %00.000 %
1830 → 1839848844566.635 %total under the threshold of 10000 people78893.365 %00.000 %
1840 → 1849973973838.530 %total under the threshold of 10000 people89091.470 %00.000 %
1850 → 18591,2771,2751068.314 %total under the threshold of 10000 people1,16991.686 %00.000 %
1860 → 18691,9891,9851768.866 %total under the threshold of 10000 people1,80991.134 %00.000 %
1870 → 18792,8632,8612679.332 %total under the threshold of 10000 people2,59390.633 %10.035 %
1880 → 18894,0744,06941110.101 %total under the threshold of 10000 people3,65589.826 %30.074 %
1890 → 18994,6934,69160712.940 %total under the threshold of 10000 people4,08387.039 %10.021 %
1900 → 19096,0075,99687914.660 %total under the threshold of 10000 people5,11685.324 %10.017 %
1910 → 19196,1986,1881,03016.645 %total under the threshold of 10000 people5,15683.323 %20.032 %
1920 → 19298,3668,3531,33916.030 %total under the threshold of 10000 people7,01383.958 %10.012 %
1930 → 19399,7179,6991,57216.208 %total under the threshold of 10000 people8,12083.720 %70.072 %
1940 → 194912,36812,3392,24518.194 %
10,08081.692 %140.113 %
1950 → 195913,78513,7532,83320.599 %
10,90279.270 %180.131 %
1960 → 196915,19215,1633,81825.180 %
11,31174.596 %340.224 %
1970 → 197917,28617,2555,04129.215 %
12,17670.565 %380.220 %
1980 → 198921,20721,1416,42130.372 %
14,65069.297 %700.331 %
1990 → 199911,83311,7973,17426.905 %
8,57872.713 %450.381 %
2000 → 200957356918833.040 %total under the threshold of 10000 people37866.432 %30.527 %
2010 → 20191616531.250 %total under the threshold of 10000 people1168.750 %00.000 %

[Persian Wikipedia] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
United States of America36,32336,32310,25028.219 %
25,94671.431 %1270.350 %
United Kingdom12,22912,2282,32919.046 %
9,87980.790 %200.164 %
Iran14,08714,0471,71012.173 %
12,33487.805 %30.021 %

[Persian Wikipedia] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
film actor21,24421,24410,26848.334 %
10,91851.393 %580.273 %
actor33,70933,70615,06044.680 %
18,52354.955 %1230.365 %
performing artist12,34112,3405,13941.645 %
7,16258.039 %390.316 %
musician14,52414,4984,90933.860 %
9,52665.706 %630.435 %
television actor14,79114,7914,87532.959 %
9,87966.791 %370.250 %
artist80,90380,71022,45827.826 %
58,03171.901 %2210.274 %
professional100,07499,80324,43924.487 %
75,12975.277 %2350.235 %
worker104,500104,21724,87423.868 %
79,10575.904 %2380.228 %
creator52,19552,07410,98721.099 %
40,93778.613 %1500.288 %
agent159,173158,86332,48620.449 %
126,12379.391 %2540.160 %
media professional13,59713,5822,69319.828 %
10,84979.878 %400.295 %
author34,07133,9776,21318.286 %
27,69081.496 %740.218 %
writer26,01525,9324,36216.821 %
21,52082.986 %500.193 %
screenwriter10,71910,7131,50514.048 %
9,19985.868 %90.084 %
athlete57,85857,8388,10214.008 %
49,72185.966 %150.026 %
sports figure58,23858,2168,11913.946 %
50,08186.026 %160.027 %
profession17,42217,4062,30913.266 %
15,05986.516 %380.218 %
job17,44017,4242,31013.258 %
15,07686.524 %380.218 %
work17,44017,4242,31013.258 %
15,07686.524 %380.218 %
leader18,75118,7252,19911.744 %
16,51788.208 %90.048 %
businessperson18,82718,8162,20211.703 %
16,59088.170 %240.128 %
politician18,58318,5352,09111.281 %
16,42488.611 %200.108 %
manager15,86515,8401,76911.168 %
14,06388.782 %80.051 %
executive16,24916,2241,78611.008 %
14,43088.942 %80.049 %
leader of organisation16,22616,2011,78010.987 %
14,41388.964 %80.049 %
erudite21,77921,7412,36110.860 %
19,35789.035 %230.106 %
competitive player36,41336,3943,68610.128 %
32,69789.842 %110.030 %
player36,41836,3993,68610.127 %
32,70289.843 %110.030 %
researcher19,40619,3741,9029.817 %
17,45290.079 %200.103 %
scientist13,94313,9311,2759.152 %
12,64090.733 %160.115 %
association football player27,18827,1717212.654 %
26,45097.346 %00.000 %