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 %

[rowiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
50,92150,7149,20818.2 %
41,49281.8 %140.0 %

[rowiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18094094086515.9 %total under the threshold of 2000 people34384.1 %00.0 %
1810 → 18194634625311.5 %total under the threshold of 2000 people40988.5 %00.0 %
1820 → 18295115116212.1 %total under the threshold of 2000 people44987.9 %00.0 %
1830 → 18395775776811.8 %total under the threshold of 2000 people50988.2 %00.0 %
1840 → 18496906877711.2 %total under the threshold of 2000 people61088.8 %00.0 %
1850 → 1859781780769.7 %total under the threshold of 2000 people70490.3 %00.0 %
1860 → 18691,0571,05611310.7 %total under the threshold of 2000 people94389.3 %00.0 %
1870 → 18791,1191,11713712.3 %total under the threshold of 2000 people98087.7 %00.0 %
1880 → 18891,5851,5811549.7 %total under the threshold of 2000 people1,42690.2 %10.1 %
1890 → 18991,6811,68018411.0 %total under the threshold of 2000 people1,49689.0 %00.0 %
1900 → 19092,0642,06325312.3 %
1,81087.7 %00.0 %
1910 → 19192,0772,07328813.9 %
1,78586.1 %00.0 %
1920 → 19292,8472,84137613.2 %
2,46586.8 %00.0 %
1930 → 19393,2603,25346014.1 %
2,79285.8 %10.0 %
1940 → 19494,1704,16375718.2 %
3,40681.8 %00.0 %
1950 → 19594,3494,33981818.9 %
3,52081.1 %10.0 %
1960 → 19693,7283,72584822.8 %
2,87677.2 %10.0 %
1970 → 19793,9503,9461,08027.4 %
2,86472.6 %20.1 %
1980 → 19894,3254,3251,34731.1 %
2,97368.7 %50.1 %
1990 → 19991,3901,39056340.5 %total under the threshold of 2000 people82559.4 %20.1 %
2000 → 200945453066.7 %total under the threshold of 2000 people1533.3 %00.0 %
2010 → 201977457.1 %total under the threshold of 2000 people342.9 %00.0 %

[rowiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Romania10,15410,1471,68116.6 %
8,46583.4 %10.0 %
United States of America5,6785,6781,37224.2 %
4,29875.7 %80.1 %
Germany3,0693,06977725.3 %
2,29274.7 %00.0 %
France3,0223,02255318.3 %
2,46881.7 %10.0 %
United Kingdom2,7352,73449318.0 %
2,24081.9 %10.0 %

[rowiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
research subject35,05535,0186,52018.6 %
28,48581.3 %130.0 %
creator24,60924,5765,01720.4 %
19,54879.5 %110.0 %
author12,80912,7832,05616.1 %
10,72083.9 %70.1 %
artist12,00211,9913,56229.7 %
8,42070.2 %90.1 %
writer11,79711,7711,95716.6 %
9,80883.3 %60.1 %
politician10,31610,3051,66916.2 %
8,63383.8 %30.0 %
worker8,7478,7448109.3 %
7,93190.7 %30.0 %
researcher8,6278,6216257.2 %
7,99692.8 %00.0 %
erudite8,4418,4356147.3 %
7,82192.7 %00.0 %
scientist8,4338,4276127.3 %
7,81592.7 %00.0 %
athlete8,0118,0091,09713.7 %
6,91286.3 %00.0 %
competitive player5,6205,6184718.4 %
5,14791.6 %00.0 %
non-fiction writer5,4955,47575113.7 %
4,72286.2 %20.0 %
actor5,1155,1142,20343.1 %
2,90656.8 %50.1 %
association football player4,6414,640360.8 %
4,60499.2 %00.0 %
musician4,4824,4801,46032.6 %
3,01467.3 %60.1 %
humanities scholar3,7653,7622667.1 %
3,49692.9 %00.0 %
journalist3,6083,58851614.4 %
3,07085.6 %20.1 %
poet3,5113,51066018.8 %
2,84781.1 %30.1 %
performer3,4193,4191,03730.3 %
2,38069.6 %20.1 %
film actor3,1923,1921,35642.5 %
1,83257.4 %40.1 %
educator3,1673,1662196.9 %
2,94793.1 %00.0 %
teacher3,1183,1172076.6 %
2,91093.4 %00.0 %
academic3,0503,0491625.3 %
2,88794.7 %00.0 %
faculty member2,8922,8911565.4 %
2,73594.6 %00.0 %
university teacher2,8882,8871545.3 %
2,73394.7 %00.0 %
vocalist2,6202,6191,30849.9 %
1,30849.9 %30.1 %
singer2,5862,5851,30550.5 %
1,27749.4 %30.1 %
employee2,3752,3741466.1 %
2,22793.8 %10.0 %
manager2,2962,29524710.8 %
2,04889.2 %00.0 %
composer2,2632,26249321.8 %
1,76678.1 %30.1 %
administrator2,2452,2441346.0 %
2,10994.0 %10.0 %
bureaucrat2,2452,2441346.0 %
2,10994.0 %10.0 %
civil servant2,2452,2441346.0 %
2,10994.0 %10.0 %
Middle management2,2452,2441346.0 %
2,10994.0 %10.0 %
visual artist2,0332,03126513.0 %
1,76586.9 %10.0 %
businessperson2,0232,02232015.8 %
1,70184.1 %10.0 %