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 %

[svwiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
212,811212,18243,72920.6 %
168,40979.4 %440.0 %

[svwiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18092,8832,8832257.8 %
2,65892.2 %00.0 %
1810 → 18193,6253,6252647.3 %
3,36192.7 %00.0 %
1820 → 18293,7653,7652997.9 %
3,46692.1 %00.0 %
1830 → 18394,0964,0963578.7 %
3,73991.3 %00.0 %
1840 → 18494,5494,5493908.6 %
4,15991.4 %00.0 %
1850 → 18595,0635,0635039.9 %
4,56090.1 %00.0 %
1860 → 18695,9005,90071312.1 %
5,18787.9 %00.0 %
1870 → 18796,0936,09385114.0 %
5,24286.0 %00.0 %
1880 → 18897,1627,16091412.8 %
6,24587.2 %10.0 %
1890 → 18997,6217,6201,06614.0 %
6,55286.0 %20.0 %
1900 → 19099,1389,1381,50016.4 %
7,63883.6 %00.0 %
1910 → 19199,0449,0381,71118.9 %
7,32781.1 %00.0 %
1920 → 19299,6689,6601,78818.5 %
7,87181.5 %10.0 %
1930 → 193910,16710,1592,06820.4 %
8,08979.6 %20.0 %
1940 → 194914,31314,3033,30623.1 %
10,99276.9 %50.0 %
1950 → 195914,78814,7593,81825.9 %
10,93774.1 %40.0 %
1960 → 196916,37716,3424,79129.3 %
11,54570.6 %60.0 %
1970 → 197917,66117,6165,57131.6 %
12,04068.3 %50.0 %
1980 → 198917,52517,4845,52331.6 %
11,95168.4 %100.1 %
1990 → 19997,1257,0601,95427.7 %
5,10172.3 %50.1 %
2000 → 20091371357857.8 %total under the threshold of 2000 people5742.2 %00.0 %
2010 → 20192020945.0 %total under the threshold of 2000 people1155.0 %00.0 %

[svwiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Germany13,52113,5201,82513.5 %
11,69386.5 %20.0 %
Italy2,8652,86540114.0 %
2,46386.0 %10.0 %
Austria2,1592,15931514.6 %
1,84485.4 %00.0 %
France9,1759,1751,39615.2 %
7,77784.8 %20.0 %
Spain2,4312,43138115.7 %
2,05084.3 %00.0 %
Canada3,7173,71667818.2 %
3,03881.8 %00.0 %
United Kingdom11,34711,3452,11018.6 %
9,22881.3 %70.1 %
Denmark5,2135,2131,01019.4 %
4,20280.6 %10.0 %
Finland6,0056,0041,18419.7 %
4,82080.3 %00.0 %
Japan2,1652,16544620.6 %
1,71979.4 %00.0 %
United States of America28,24728,2426,23822.1 %
21,98077.8 %240.1 %
Sweden53,85153,80012,52723.3 %
41,26976.7 %40.0 %
Soviet Union2,3022,30253823.4 %
1,76476.6 %00.0 %
Norway5,0905,0901,28325.2 %
3,80774.8 %00.0 %
Russia2,2502,25071131.6 %
1,53968.4 %00.0 %

[svwiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
military officer2,2582,258321.4 %
2,22598.5 %10.0 %
military personnel5,5345,533861.6 %
5,44498.4 %30.1 %
warrior5,6575,656981.7 %
5,55598.2 %30.1 %
priest3,3333,333601.8 %
3,27398.2 %00.0 %
cleric3,4043,404641.9 %
3,34098.1 %00.0 %
motorsports competitor2,1742,174401.8 %
2,13398.1 %10.0 %
racing driver2,1742,174401.8 %
2,13398.1 %10.0 %
engineer2,7252,725953.5 %
2,63096.5 %00.0 %
official4,5894,5881633.6 %
4,42496.4 %10.0 %
diplomat3,5603,5591444.0 %
3,41495.9 %10.0 %
civil servant8,2758,2733544.3 %
7,91795.7 %20.0 %
bureaucrat8,2818,2793554.3 %
7,92295.7 %20.0 %
ice hockey player5,4845,4842374.3 %
5,24795.7 %00.0 %
administrator8,2878,2853574.3 %
7,92695.7 %20.0 %
Middle management8,2878,2853574.3 %
7,92695.7 %20.0 %
university teacher9,5719,5714624.8 %
9,10995.2 %00.0 %
faculty member9,5849,5844654.9 %
9,11995.1 %00.0 %
combatant8,5128,5114104.8 %
8,09895.1 %30.0 %
employee9,2009,1984504.9 %
8,74695.1 %20.0 %
manual worker8,5748,5734224.9 %
8,14895.0 %30.0 %
jurist6,6046,6043315.0 %
6,27395.0 %00.0 %
academic10,18410,1835145.0 %
9,66894.9 %10.0 %
lawyer4,8884,8882535.2 %
4,63594.8 %00.0 %
historian4,7544,7542495.2 %
4,50594.8 %00.0 %
religious4,3864,3862335.3 %
4,15394.7 %00.0 %
biologist2,5942,5941445.6 %
2,45094.4 %00.0 %
construction worker3,1393,1361755.6 %
2,96194.4 %00.0 %
naturalist2,6832,6831515.6 %
2,53294.4 %00.0 %
architect3,0903,0871755.7 %
2,91294.3 %00.0 %
coach2,3962,3961355.6 %
2,26094.3 %10.0 %
philosopher2,2612,2611295.7 %
2,13294.3 %00.0 %
humanities scholar11,04111,0416345.7 %
10,40794.3 %00.0 %
scientist25,06325,0621,7727.1 %
23,28892.9 %20.0 %
erudite25,08325,0821,7767.1 %
23,30492.9 %20.0 %
leader of organisation4,1914,1912967.1 %
3,89492.9 %10.0 %
researcher25,83325,8311,8367.1 %
23,99392.9 %20.0 %
executive4,2144,2142997.1 %
3,91492.9 %10.0 %
director3,9013,9012787.1 %
3,62292.8 %10.0 %
association football player11,69111,6868457.2 %
10,84192.8 %00.0 %
social scientist5,7895,7894367.5 %
5,35392.5 %00.0 %
teacher11,43811,4378987.9 %
10,53992.1 %00.0 %
educator11,63711,6369508.2 %
10,68691.8 %00.0 %
physician3,7063,7053118.4 %
3,39291.6 %20.1 %
worker31,50531,4982,7008.6 %
28,79291.4 %60.0 %
ice skater6,1776,1775318.6 %
5,64691.4 %00.0 %
designer4,4514,4484179.4 %
4,03190.6 %00.0 %
martial artist2,8652,86531310.9 %
2,55289.1 %00.0 %
businessperson8,9168,9161,02511.5 %
7,88888.5 %30.0 %
playwright2,0082,00823411.7 %
1,77288.2 %20.1 %
manager8,2428,2421,00112.1 %
7,23987.8 %20.0 %
health professional4,4744,47355012.3 %
3,92187.7 %20.0 %
professional4,5214,52055612.3 %
3,96287.7 %20.0 %
instrumentalist5,3805,38067312.5 %
4,70387.4 %40.1 %
competitive player24,40324,3983,31813.6 %
21,07986.4 %10.0 %
film director3,0993,09946114.9 %
2,63785.1 %10.0 %
politician27,66027,6604,14015.0 %
23,51185.0 %90.0 %
entrepreneur4,5934,59370715.4 %
3,88384.5 %30.1 %
winter sports practitioner9,1739,1731,43915.7 %
7,73484.3 %00.0 %
composer9,1879,1861,46315.9 %
7,71384.0 %100.1 %
sculptor2,6122,61142316.2 %
2,18883.8 %00.0 %
director4,2864,28671716.7 %
3,56883.2 %10.0 %
painter7,8687,8681,32716.9 %
6,53983.1 %20.0 %
producer3,3653,36556916.9 %
2,79383.0 %30.1 %
keyboardist2,3862,38642017.6 %
1,96482.3 %20.1 %
screenwriter4,9814,98188417.7 %
4,09482.2 %30.1 %
non-fiction writer15,80515,8042,88718.3 %
12,90981.7 %80.1 %
visual artist12,91912,9152,38918.5 %
10,52381.5 %30.0 %
drawer2,8542,85155419.4 %
2,29780.6 %00.0 %
pianist2,0562,05639819.4 %
1,65680.5 %20.1 %
author42,11642,1058,39019.9 %
33,69280.0 %230.1 %
athlete46,10546,0969,24720.1 %
36,84479.9 %50.0 %
research subject170,476170,43635,30820.7 %
135,08579.3 %430.0 %
poet9,0259,0221,89721.0 %
7,11678.9 %90.1 %
writer36,76936,7617,90921.5 %
28,83078.4 %220.1 %
translators and interpreters2,4712,47154922.2 %
1,92277.8 %00.0 %
translator2,4572,45754622.2 %
1,91177.8 %00.0 %
journalist9,8529,8512,19722.3 %
7,64877.6 %60.1 %
creator95,78195,75521,96622.9 %
73,75477.0 %350.0 %
performer11,75911,7583,07026.1 %
8,68173.8 %70.1 %
musician19,38319,3765,08526.2 %
14,27573.7 %160.1 %
lyricist4,1334,1321,12327.2 %
3,00072.6 %90.2 %
songwriter4,0294,0281,10227.4 %
2,91872.4 %80.2 %
artist55,32955,31015,51228.0 %
39,76971.9 %290.1 %
skier2,4462,44676531.3 %
1,68168.7 %00.0 %
novelist2,5722,57280631.3 %
1,76568.6 %10.0 %
athletics competitor5,5465,5422,07237.4 %
3,46762.6 %30.1 %
theatrical occupation4,2504,2501,70340.1 %
2,54759.9 %00.0 %
stage actor3,8343,8341,64843.0 %
2,18657.0 %00.0 %
actor19,29419,2878,34443.3 %
10,92656.6 %170.1 %
film actor8,8728,8693,89743.9 %
4,96456.0 %80.1 %
television actor4,6124,6112,03644.2 %
2,56955.7 %60.1 %
vocalist9,8219,8174,34944.3 %
5,45755.6 %110.1 %
singer9,6869,6824,34444.9 %
5,32755.0 %110.1 %
model2,0522,0481,75285.5 %
29214.3 %40.2 %