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 %

[jawiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
310,700270,91860,51122.3 %
210,34777.6 %600.0 %

[jawiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,2681,1341029.0 %total under the threshold of 2000 people1,03291.0 %00.0 %
1810 → 18191,4971,3421017.5 %total under the threshold of 2000 people1,24192.5 %00.0 %
1820 → 18291,6811,4741097.4 %total under the threshold of 2000 people1,36592.6 %00.0 %
1830 → 18392,1371,8611447.7 %total under the threshold of 2000 people1,71792.3 %00.0 %
1840 → 18492,4712,2021778.0 %
2,02592.0 %00.0 %
1850 → 18592,8452,5491716.7 %
2,37893.3 %00.0 %
1860 → 18693,6263,2482497.7 %
2,99992.3 %00.0 %
1870 → 18794,4413,9393178.0 %
3,62292.0 %00.0 %
1880 → 18896,2985,5203756.8 %
5,14493.2 %10.0 %
1890 → 18997,4496,5665939.0 %
5,97291.0 %10.0 %
1900 → 19099,3518,25689110.8 %
7,36589.2 %00.0 %
1910 → 19199,2488,33596911.6 %
7,36688.4 %00.0 %
1920 → 192912,61211,2101,30511.6 %
9,90488.3 %10.0 %
1930 → 193916,07214,3961,83812.8 %
12,55787.2 %10.0 %
1940 → 194921,86119,8492,77114.0 %
17,07386.0 %50.0 %
1950 → 195922,83620,7893,70017.8 %
17,08682.2 %30.0 %
1960 → 196926,03123,9725,58423.3 %
18,37776.7 %110.0 %
1970 → 197931,17028,9298,62129.8 %
20,29970.2 %90.0 %
1980 → 198937,69335,90613,29237.0 %
22,59562.9 %190.1 %
1990 → 199917,86316,4816,64340.3 %
9,83459.7 %40.0 %
2000 → 200991380948960.4 %total under the threshold of 2000 people32039.6 %00.0 %
2010 → 201935261453.8 %total under the threshold of 2000 people1246.2 %00.0 %

[jawiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan110,01498,38026,44726.9 %
71,90373.1 %300.0 %
United States of America30,20730,1635,83719.4 %
24,31280.6 %140.0 %
United Kingdom8,5618,5561,42016.6 %
7,13383.4 %30.0 %
Germany7,2837,2821,10315.1 %
6,17984.9 %00.0 %
France6,9656,9651,14316.4 %
5,82083.6 %20.0 %
Italy2,7752,77540714.7 %
2,36885.3 %00.0 %
Brazil2,4492,4452148.8 %
2,23091.2 %10.0 %
Soviet Union2,5082,50834913.9 %
2,15986.1 %00.0 %
Spain2,3962,39630212.6 %
2,09487.4 %00.0 %
South Korea2,6792,63868926.1 %
1,94973.9 %00.0 %
Russia2,3402,34056624.2 %
1,77475.8 %00.0 %
People's Republic of China2,3792,31661526.6 %
1,70173.4 %00.0 %

[jawiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
research subject214,604202,62846,62723.0 %
155,94677.0 %550.0 %
creator126,031117,00436,55031.2 %
80,40668.7 %480.0 %
athlete61,42960,9078,45813.9 %
52,44586.1 %40.0 %
artist85,31179,55129,99037.7 %
49,51862.2 %430.1 %
author48,88944,0318,79620.0 %
35,21480.0 %210.0 %
competitive player38,19238,0662,9457.7 %
35,12092.3 %10.0 %
worker40,39238,7976,90117.8 %
31,88582.2 %110.0 %
writer35,62132,6966,57320.1 %
26,10779.8 %160.0 %
researcher24,34923,3451,5706.7 %
21,77493.3 %10.0 %
erudite23,87722,8791,5546.8 %
21,32493.2 %10.0 %
scientist23,86422,8661,5516.8 %
21,31493.2 %10.0 %
actor38,20737,82619,41051.3 %
18,39648.6 %200.1 %
politician20,10419,3772,12110.9 %
17,25089.0 %60.0 %
association football player17,65317,6223772.1 %
17,24497.9 %10.0 %
manual worker18,86818,0961,6679.2 %
16,42690.8 %30.0 %
combatant18,82218,0511,6639.2 %
16,38590.8 %30.0 %
musician24,86423,6897,33431.0 %
16,34169.0 %140.1 %
businessperson16,93315,7391,2578.0 %
14,47792.0 %50.0 %
performer21,29420,5387,21935.1 %
13,31164.8 %80.0 %
baseball player11,40811,403130.1 %
11,39099.9 %00.0 %
non-fiction writer13,02911,9921,64513.7 %
10,34186.2 %60.1 %
manager11,60311,0709028.1 %
10,16791.8 %10.0 %
composer11,97411,5002,03617.7 %
9,45782.2 %70.1 %
educator10,59610,1458648.5 %
9,28091.5 %10.0 %
teacher10,47810,0308358.3 %
9,19491.7 %10.0 %
visual artist14,61711,4772,69323.5 %
8,77876.5 %60.1 %
martial artist10,1729,9211,59216.0 %
8,32783.9 %20.0 %
humanities scholar9,2348,7135376.2 %
8,17693.8 %00.0 %
warrior8,6678,147720.9 %
8,07499.1 %10.0 %
academic7,7187,5874465.9 %
7,14194.1 %00.0 %
poet9,1598,5912,32927.1 %
6,25772.8 %50.1 %
employee6,6476,4882664.1 %
6,22195.9 %10.0 %
military personnel6,4256,188560.9 %
6,13199.1 %10.0 %
faculty member6,4416,4373685.7 %
6,06994.3 %00.0 %
university teacher6,4286,4243675.7 %
6,05794.3 %00.0 %
journalist7,7977,1361,07915.1 %
6,05184.8 %60.1 %
Middle management6,3836,2282343.8 %
5,99396.2 %10.0 %
administrator6,3826,2272333.7 %
5,99396.2 %10.0 %
bureaucrat6,3816,2262323.7 %
5,99396.3 %10.0 %
civil servant6,2686,1312313.8 %
5,89996.2 %10.0 %
executive6,4876,0813395.6 %
5,74194.4 %10.0 %
leader of organisation6,4796,0733385.6 %
5,73494.4 %10.0 %
social scientist6,5346,1104577.5 %
5,65392.5 %00.0 %
instrumentalist6,6936,5041,02915.8 %
5,47284.1 %30.0 %
vocalist11,90611,4556,10653.3 %
5,34046.6 %90.1 %
entrepreneur6,3006,00471711.9 %
5,28488.0 %30.0 %
singer11,81111,3606,09853.7 %
5,25346.2 %90.1 %
film actor12,61212,6097,39458.6 %
5,20341.3 %120.1 %
director5,7845,4893155.7 %
5,17494.3 %00.0 %
screenwriter6,2135,98690015.0 %
5,08584.9 %10.0 %
director5,9115,65558310.3 %
5,07189.7 %10.0 %
film director5,5395,30053810.2 %
4,76189.8 %10.0 %
jurist5,1834,8042926.1 %
4,51293.9 %00.0 %
producer5,3155,02862312.4 %
4,40287.5 %30.1 %
voice actor8,9298,9284,65752.2 %
4,27047.8 %10.0 %
novelist6,4045,4531,47527.0 %
3,97772.9 %10.0 %
drawer7,9575,9882,03434.0 %
3,95066.0 %40.1 %
wrestler4,6324,49566414.8 %
3,83085.2 %10.0 %
lawyer4,3884,0452536.3 %
3,79293.7 %00.0 %
historian4,2793,9142516.4 %
3,66393.6 %00.0 %
professional4,4584,01251912.9 %
3,49387.1 %00.0 %
health professional4,3533,91350713.0 %
3,40687.0 %00.0 %
painter4,6823,78043011.4 %
3,34988.6 %10.0 %
lyricist5,2864,9931,71334.3 %
3,27565.6 %50.1 %
official3,2863,219932.9 %
3,12697.1 %00.0 %
seiyū7,0027,0013,98456.9 %
3,01743.1 %00.0 %
television actor5,1675,1672,19242.4 %
2,97057.5 %50.1 %
engineer3,1012,972923.1 %
2,88096.9 %00.0 %
media professional6,1375,6812,92651.5 %
2,75248.4 %30.1 %
winter sports practitioner5,0555,0532,32446.0 %
2,72954.0 %00.0 %
boxer3,0773,03430810.2 %
2,72589.8 %10.0 %
songwriter4,2594,1091,45735.5 %
2,64764.4 %50.1 %
physician3,1482,7901716.1 %
2,61993.9 %00.0 %
coach2,6852,683702.6 %
2,61397.4 %00.0 %
diplomat2,7302,6861074.0 %
2,57896.0 %10.0 %
theatrical occupation3,9513,9461,37834.9 %
2,56865.1 %00.0 %
music director2,6342,592582.2 %
2,53497.8 %00.0 %
conductor2,6192,577552.1 %
2,52297.9 %00.0 %
keyboardist3,1363,06560619.8 %
2,45680.1 %30.1 %
comics artist5,6374,0821,63640.1 %
2,44259.8 %40.1 %
designer2,9592,72929810.9 %
2,43189.1 %00.0 %
economist2,7342,5391365.4 %
2,40394.6 %00.0 %
religious2,8252,5581706.6 %
2,38793.3 %10.0 %
basketball player2,7932,79241414.8 %
2,37885.2 %00.0 %
stage actor3,7443,7441,36736.5 %
2,37763.5 %00.0 %
philosopher2,5632,4441275.2 %
2,31794.8 %00.0 %
mangaka5,4423,8991,61441.4 %
2,28158.5 %40.1 %
amateur wrestler2,3372,337713.0 %
2,26697.0 %00.0 %
producer2,7362,68041315.4 %
2,26584.5 %20.1 %
announcer5,2464,8162,58453.7 %
2,23146.3 %10.0 %
film producer2,6872,63140715.5 %
2,22284.5 %20.1 %
athletics competitor3,0523,04990529.7 %
2,14370.3 %10.0 %
critic2,6422,36225110.6 %
2,10889.2 %30.1 %
pianist2,6262,57456421.9 %
2,00778.0 %30.1 %
entertainer6,0585,9213,91866.2 %
2,00033.8 %30.1 %
professional wrestler2,7482,61161623.6 %
1,99476.4 %10.0 %
ice skater3,8923,8921,99351.2 %
1,89948.8 %00.0 %
translators and interpreters2,3792,14140418.9 %
1,73681.1 %10.0 %
translator2,3672,13040318.9 %
1,72681.0 %10.0 %
figure skater3,4463,4461,87554.4 %
1,57145.6 %00.0 %
singer-songwriter2,7742,6261,09441.7 %
1,52758.1 %50.2 %
illustrator2,2431,59553733.7 %total under the threshold of 2000 people1,05766.3 %10.1 %
entertainer4,0713,9333,08878.5 %
83521.2 %100.3 %
tarento4,0703,9323,08778.5 %
83521.2 %100.3 %
model8,8448,8368,17492.5 %
6527.4 %100.1 %
sex worker3,9923,9653,88097.9 %
792.0 %60.2 %
pornographic actor3,8973,8973,81497.9 %
772.0 %60.2 %
Japanese idol3,0823,0823,07999.9 %
10.0 %20.1 %
AV idol2,9662,9662,96399.9 %
10.0 %20.1 %