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
4,255,7323,687,078658,38417.9 %
3,028,22982.1 %4650.0 %

[idwiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
63,60358,96910,43717.7 %
48,51182.3 %210.0 %

[idwiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 1809280280165.7 %total under the threshold of 2000 people26494.3 %00.0 %
1810 → 1819281281238.2 %total under the threshold of 2000 people25891.8 %00.0 %
1820 → 1829313313268.3 %total under the threshold of 2000 people28791.7 %00.0 %
1830 → 1839384384389.9 %total under the threshold of 2000 people34690.1 %00.0 %
1840 → 1849427427337.7 %total under the threshold of 2000 people39492.3 %00.0 %
1850 → 1859467466377.9 %total under the threshold of 2000 people42992.1 %00.0 %
1860 → 1869604603599.8 %total under the threshold of 2000 people54490.2 %00.0 %
1870 → 1879671668639.4 %total under the threshold of 2000 people60590.6 %00.0 %
1880 → 1889991985949.5 %total under the threshold of 2000 people89090.4 %10.1 %
1890 → 18991,1611,1391099.6 %total under the threshold of 2000 people1,03090.4 %00.0 %
1900 → 19091,5041,46617311.8 %total under the threshold of 2000 people1,29388.2 %00.0 %
1910 → 19191,7141,66617610.6 %total under the threshold of 2000 people1,49089.4 %00.0 %
1920 → 19292,3092,16427012.5 %
1,89387.5 %10.0 %
1930 → 19392,5912,43630812.6 %
2,12887.4 %00.0 %
1940 → 19493,7393,45147113.6 %
2,97686.2 %40.1 %
1950 → 19594,5193,87767217.3 %
3,20582.7 %00.0 %
1960 → 19695,2754,53790219.9 %
3,63180.0 %40.1 %
1970 → 19796,6046,1661,22519.9 %
4,93780.1 %40.1 %
1980 → 198910,37610,0512,00319.9 %
8,04480.0 %40.0 %
1990 → 19996,3105,9681,63327.4 %
4,33472.6 %10.0 %
2000 → 200938632920161.1 %total under the threshold of 2000 people12838.9 %00.0 %
2010 → 201922221045.5 %total under the threshold of 2000 people1254.5 %00.0 %

[idwiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
France2,2292,22927712.4 %
1,95287.6 %00.0 %
Japan5,8965,81878813.5 %
5,02986.4 %10.0 %
United Kingdom3,2023,20147514.8 %
2,72285.0 %40.1 %
United States of America7,7377,7351,92524.9 %
5,80375.0 %70.1 %
Indonesia5,9215,2181,54529.6 %
3,67370.4 %00.0 %

[idwiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
association football player13,44213,313520.4 %
13,26199.6 %00.0 %
competitive player14,50814,3773052.1 %
14,07297.9 %00.0 %
athlete15,69415,5614562.9 %
15,10497.1 %10.0 %
humanities scholar2,5622,5611325.2 %
2,42894.8 %10.0 %
faculty member2,3752,3731245.2 %
2,24994.8 %00.0 %
university teacher2,3682,3661245.2 %
2,24294.8 %00.0 %
academic2,5372,5341395.5 %
2,39594.5 %00.0 %
administrator2,5692,5621415.5 %
2,42194.5 %00.0 %
bureaucrat2,5692,5621415.5 %
2,42194.5 %00.0 %
civil servant2,5672,5601415.5 %
2,41994.5 %00.0 %
Middle management2,5702,5631425.5 %
2,42194.5 %00.0 %
employee2,6772,6701596.0 %
2,51194.0 %00.0 %
researcher6,2726,2403966.3 %
5,84393.6 %10.0 %
scientist6,0496,0173906.5 %
5,62693.5 %10.0 %
erudite6,0586,0263926.5 %
5,63393.5 %10.0 %
teacher2,6342,6291837.0 %
2,44693.0 %00.0 %
educator2,6682,6631887.1 %
2,47592.9 %00.0 %
worker9,3909,3768989.6 %
8,47490.4 %40.0 %
film director2,1212,12021910.3 %
1,90189.7 %00.0 %
director2,3142,27924210.6 %
2,03789.4 %00.0 %
manager3,1483,11234611.1 %
2,76588.8 %10.0 %
screenwriter2,2802,28028312.4 %
1,99687.5 %10.0 %
businessperson2,9432,94144615.2 %
2,49484.8 %10.0 %
politician8,7168,5671,31915.4 %
7,24684.6 %20.0 %
entrepreneur2,3632,36137415.8 %
1,98684.1 %10.0 %
non-fiction writer3,4503,39456016.5 %
2,83083.4 %40.1 %
research subject43,02042,6507,18016.8 %
35,44983.1 %210.0 %
author9,9359,8451,70817.3 %
8,12982.6 %80.1 %
writer9,0538,9651,62518.1 %
7,33381.8 %70.1 %
journalist2,0922,03637518.4 %
1,65781.4 %40.2 %
composer2,3312,32653122.8 %
1,79177.0 %40.2 %
poet2,5222,51860023.8 %
1,91676.1 %20.1 %
creator23,98923,7626,27326.4 %
17,47273.5 %170.1 %
artist15,35715,2455,30734.8 %
9,92365.1 %150.1 %
performer3,2933,2921,20836.7 %
2,08263.2 %20.1 %
musician5,1885,1601,94437.7 %
3,20962.2 %70.1 %
film actor4,1924,1901,70740.7 %
2,47959.2 %40.1 %
actor9,0178,9843,89543.4 %
5,07956.5 %100.1 %
television actor2,1182,11893544.1 %
1,18155.8 %20.1 %
vocalist3,8803,8571,85948.2 %
1,99551.7 %30.1 %
singer3,8433,8201,85648.6 %
1,96151.3 %30.1 %