Denelezh provides statistics about the gender gap in the content of Wikidata and Wikimedia projects.

You can learn more about Denelezh by reading the documentation and the current state of the project.

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Global Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
4,310,7063,742,916681,69718.2 %
3,060,70281.8 %5170.0 %

[kowiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
94,85783,72919,66223.5 %
64,03576.5 %320.0 %

[kowiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18092682632710.3 %total under the threshold of 2000 people23689.7 %00.0 %
1810 → 18193223203611.3 %total under the threshold of 2000 people28488.8 %00.0 %
1820 → 1829331327329.8 %total under the threshold of 2000 people29590.2 %00.0 %
1830 → 1839405398348.5 %total under the threshold of 2000 people36491.5 %00.0 %
1840 → 1849470458429.2 %total under the threshold of 2000 people41690.8 %00.0 %
1850 → 1859676604427.0 %total under the threshold of 2000 people56293.0 %00.0 %
1860 → 1869851730709.6 %total under the threshold of 2000 people66090.4 %00.0 %
1870 → 18791,151908798.7 %total under the threshold of 2000 people82991.3 %00.0 %
1880 → 18891,5801,1871038.7 %total under the threshold of 2000 people1,08491.3 %00.0 %
1890 → 18991,9511,41316211.5 %total under the threshold of 2000 people1,25188.5 %00.0 %
1900 → 19092,2931,75922012.5 %total under the threshold of 2000 people1,53987.5 %00.0 %
1910 → 19192,2961,79226214.6 %total under the threshold of 2000 people1,53085.4 %00.0 %
1920 → 19292,9822,38540517.0 %
1,97983.0 %10.0 %
1930 → 19393,5523,01849816.5 %
2,51983.5 %10.0 %
1940 → 19495,3784,73487218.4 %
3,85981.5 %30.1 %
1950 → 19597,0616,1201,26820.7 %
4,85279.3 %00.0 %
1960 → 19698,7037,8832,02725.7 %
5,85074.2 %60.1 %
1970 → 197911,49210,6583,27830.8 %
7,37669.2 %40.0 %
1980 → 198916,56615,3375,16533.7 %
10,16366.3 %90.1 %
1990 → 19998,2507,6972,76035.9 %
4,93164.1 %60.1 %
2000 → 200935933020662.4 %total under the threshold of 2000 people12437.6 %00.0 %
2010 → 20191413861.5 %total under the threshold of 2000 people538.5 %00.0 %

[kowiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Germany2,4522,45142017.1 %
2,02982.8 %20.1 %
Japan9,8189,7632,01920.7 %
7,74079.3 %40.0 %
France2,6542,65463523.9 %
2,01876.0 %10.0 %
United Kingdom4,2884,2871,05724.7 %
3,22675.3 %40.1 %
United States of America13,95513,9493,95328.3 %
9,98071.5 %160.1 %
South Korea13,10011,4443,75832.8 %
7,68667.2 %00.0 %

[kowiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
baseball player2,0122,01220.1 %
2,01099.9 %00.0 %
association football player11,22611,174650.6 %
11,10999.4 %00.0 %
military personnel2,1382,118261.2 %
2,09098.7 %20.1 %
warrior2,7482,726361.3 %
2,68898.6 %20.1 %
competitive player15,73315,3716104.0 %
14,76096.0 %10.0 %
humanities scholar2,5492,5441184.6 %
2,42695.4 %00.0 %
academic2,9462,9441414.8 %
2,80295.2 %10.0 %
administrator2,6302,6131244.7 %
2,48795.2 %20.1 %
bureaucrat2,6292,6121244.7 %
2,48695.2 %20.1 %
civil servant2,6222,6051244.8 %
2,47995.2 %20.1 %
Middle management2,6312,6141254.8 %
2,48795.1 %20.1 %
combatant4,0133,9851924.8 %
3,79195.1 %20.1 %
university teacher2,7842,7841364.9 %
2,64895.1 %00.0 %
faculty member2,7902,7901374.9 %
2,65395.1 %00.0 %
manual worker4,0294,0011964.9 %
3,80395.1 %20.0 %
employee2,7252,7081375.1 %
2,56994.9 %20.1 %
erudite6,4286,4194036.3 %
6,01593.7 %10.0 %
scientist6,4246,4154036.3 %
6,01193.7 %10.0 %
researcher6,6176,6084176.3 %
6,19093.7 %10.0 %
teacher3,1803,1742076.5 %
2,96793.5 %00.0 %
educator3,2183,2122156.7 %
2,99793.3 %00.0 %
worker9,4779,4267447.9 %
8,67992.1 %30.0 %
athlete20,04719,9822,09110.5 %
17,88789.5 %40.0 %
politician9,7558,8291,15113.0 %
7,67486.9 %40.0 %
manager3,9593,88956014.4 %
3,32985.6 %00.0 %
film director2,3052,24635615.9 %
1,89084.1 %00.0 %
director2,5582,49840516.2 %
2,09383.8 %00.0 %
businessperson4,2284,20169716.6 %
3,50283.4 %20.0 %
instrumentalist2,0001,98735317.8 %total under the threshold of 2000 people1,63182.1 %30.2 %
screenwriter2,9312,92653518.3 %
2,39081.7 %10.0 %
entrepreneur2,9562,94757519.5 %
2,37080.4 %20.1 %
producer2,4102,40550020.8 %
1,90379.1 %20.1 %
non-fiction writer4,1043,89085822.1 %
3,02777.8 %50.1 %
author13,91913,5933,22523.7 %
10,35676.2 %120.1 %
journalist2,7142,50460724.2 %
1,89375.6 %40.2 %
writer12,16411,8812,95924.9 %
8,91075.0 %120.1 %
research subject68,83666,66716,82425.2 %
49,81374.7 %300.0 %
composer4,1944,1601,20929.1 %
2,94670.8 %50.1 %
poet4,2064,1731,28230.7 %
2,88669.2 %50.1 %
creator39,54438,68313,92836.0 %
24,72863.9 %270.1 %
performer7,0586,9672,62137.6 %
4,34062.3 %60.1 %
lyricist2,7862,7671,09339.5 %
1,66960.3 %50.2 %
songwriter2,6752,6631,05639.7 %
1,60360.2 %40.2 %
artist29,33528,74712,21742.5 %
16,50557.4 %250.1 %
musician10,85210,5834,56743.2 %
6,00256.7 %140.1 %
voice actor3,4273,4261,58446.2 %
1,84153.7 %10.0 %
television actor5,1805,1782,42146.8 %
2,75153.1 %60.1 %
film actor9,6749,6154,53247.1 %
5,07552.8 %80.1 %
theatrical occupation3,0713,0711,49548.7 %
1,57651.3 %00.0 %
actor18,19417,9748,95249.8 %
9,00650.1 %160.1 %
stage actor2,9522,9521,47950.1 %
1,47349.9 %00.0 %
vocalist8,4198,2024,34453.0 %
3,84746.9 %110.1 %
singer8,3128,0954,33253.5 %
3,75246.3 %110.1 %
model3,3613,3532,74581.9 %
60117.9 %70.2 %