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
4,240,1103,675,558656,59517.9 %
3,018,52282.1 %4410.0 %

[dawiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
68,13267,97011,50716.9 %
56,44683.0 %170.0 %

[dawiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 1809934934475.0 %total under the threshold of 2000 people88795.0 %00.0 %
1810 → 18191,1551,154605.2 %total under the threshold of 2000 people1,09494.8 %00.0 %
1820 → 18291,0261,026525.1 %total under the threshold of 2000 people97494.9 %00.0 %
1830 → 18391,1461,146796.9 %total under the threshold of 2000 people1,06793.1 %00.0 %
1840 → 18491,1631,162796.8 %total under the threshold of 2000 people1,08393.2 %00.0 %
1850 → 18591,2891,2881169.0 %total under the threshold of 2000 people1,17291.0 %00.0 %
1860 → 18691,4621,46215510.6 %total under the threshold of 2000 people1,30789.4 %00.0 %
1870 → 18791,6801,68017210.2 %total under the threshold of 2000 people1,50889.8 %00.0 %
1880 → 18892,0152,0151829.0 %
1,83290.9 %10.0 %
1890 → 18991,9771,97723011.6 %total under the threshold of 2000 people1,74688.3 %10.1 %
1900 → 19092,2562,25228212.5 %
1,97087.5 %00.0 %
1910 → 19192,4612,46037615.3 %
2,08484.7 %00.0 %
1920 → 19292,9312,92943314.8 %
2,49685.2 %00.0 %
1930 → 19393,1233,12151616.5 %
2,60583.5 %00.0 %
1940 → 19494,8564,85590918.7 %
3,94481.2 %20.0 %
1950 → 19594,5914,59090719.8 %
3,68280.2 %10.0 %
1960 → 19695,4555,4541,15921.3 %
4,29378.7 %20.0 %
1970 → 19796,6166,6151,53423.2 %
5,07876.8 %30.0 %
1980 → 19896,8456,8441,79926.3 %
5,04173.7 %40.1 %
1990 → 19992,7942,7921,01836.5 %
1,77163.4 %30.1 %
2000 → 20091011015958.4 %total under the threshold of 2000 people4241.6 %00.0 %
2010 → 20191616850.0 %total under the threshold of 2000 people850.0 %00.0 %

[dawiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Denmark23,44223,4424,26018.2 %
19,18181.8 %10.0 %
United States of America9,1309,1281,91621.0 %
7,20178.9 %110.1 %
Germany4,5824,58245910.0 %
4,12390.0 %00.0 %
United Kingdom4,2244,22268216.2 %
3,53583.7 %50.1 %
France2,9502,95036112.2 %
2,58887.7 %10.0 %
Norway2,2812,28144119.3 %
1,84080.7 %00.0 %
Sweden2,1582,15845421.0 %
1,70479.0 %00.0 %

[dawiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
research subject51,11851,1118,73417.1 %
42,36182.9 %160.0 %
creator31,12031,1166,22820.0 %
24,87379.9 %150.0 %
artist19,52819,5244,69524.0 %
14,81675.9 %130.1 %
athlete15,93815,9372,05912.9 %
13,87687.1 %20.0 %
author14,88914,8872,45416.5 %
12,42583.5 %80.1 %
worker12,73312,7321,0628.3 %
11,66591.6 %50.0 %
writer11,97711,9752,26618.9 %
9,70181.0 %80.1 %
competitive player11,49911,4981,60614.0 %
9,89286.0 %00.0 %
politician8,8048,8041,25214.2 %
7,54785.7 %50.1 %
musician8,2958,2941,82922.1 %
6,46077.9 %50.1 %
researcher8,1798,1795236.4 %
7,65693.6 %00.0 %
erudite7,8947,8945106.5 %
7,38493.5 %00.0 %
scientist7,8897,8895086.4 %
7,38193.6 %00.0 %
association football player7,6817,6812733.6 %
7,40896.4 %00.0 %
actor7,2697,2682,90940.0 %
4,35159.9 %80.1 %
non-fiction writer5,6085,60892116.4 %
4,68483.5 %30.1 %
performer5,4735,4731,20322.0 %
4,26778.0 %30.1 %
composer4,8824,88171514.6 %
4,16285.3 %40.1 %
film actor4,1474,1471,71841.4 %
2,42358.4 %60.1 %
vocalist3,8903,8891,60041.1 %
2,28558.8 %40.1 %
singer3,8013,8001,59441.9 %
2,20257.9 %40.1 %
educator3,7943,7942366.2 %
3,55893.8 %00.0 %
teacher3,7413,7412236.0 %
3,51894.0 %00.0 %
employee3,7023,7022055.5 %
3,49794.5 %00.0 %
humanities scholar3,6723,6721955.3 %
3,47794.7 %00.0 %
academic3,6103,6101644.5 %
3,44695.5 %00.0 %
manager3,6023,60236510.1 %
3,23789.9 %00.0 %
visual artist3,5033,50143812.5 %
3,06087.4 %30.1 %
administrator3,4673,4671875.4 %
3,28094.6 %00.0 %
bureaucrat3,4673,4671875.4 %
3,28094.6 %00.0 %
Middle management3,4673,4671875.4 %
3,28094.6 %00.0 %
civil servant3,4663,4661875.4 %
3,27994.6 %00.0 %
faculty member3,4053,4051474.3 %
3,25895.7 %00.0 %
university teacher3,3983,3981454.3 %
3,25395.7 %00.0 %
journalist3,2373,23761018.8 %
2,62481.1 %30.1 %
poet3,2343,23372922.5 %
2,50077.3 %40.1 %
businessperson3,0473,04642013.8 %
2,62486.1 %20.1 %
instrumentalist2,6132,61328010.7 %
2,33189.2 %20.1 %
entrepreneur2,4992,49836914.8 %
2,12785.1 %20.1 %
painter2,4722,47028111.4 %
2,18788.5 %20.1 %
official2,4262,4261235.1 %
2,30394.9 %00.0 %
television actor2,1672,16795844.2 %
1,20555.6 %40.2 %
screenwriter2,0622,06230414.7 %
1,75885.3 %00.0 %
jurist2,0372,0371165.7 %
1,92194.3 %00.0 %