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 %

[rowiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
51,01450,8019,25218.2 %
41,53781.8 %120.0 %

[rowiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18094104096616.1 %total under the threshold of 2000 people34383.9 %00.0 %
1810 → 18194644635411.7 %total under the threshold of 2000 people40988.3 %00.0 %
1820 → 18295115116212.1 %total under the threshold of 2000 people44987.9 %00.0 %
1830 → 18395795796811.7 %total under the threshold of 2000 people51188.3 %00.0 %
1840 → 18496906877711.2 %total under the threshold of 2000 people61088.8 %00.0 %
1850 → 1859782781769.7 %total under the threshold of 2000 people70590.3 %00.0 %
1860 → 18691,0591,05811510.9 %total under the threshold of 2000 people94389.1 %00.0 %
1870 → 18791,1211,11913712.2 %total under the threshold of 2000 people98287.8 %00.0 %
1880 → 18891,5911,5871569.8 %total under the threshold of 2000 people1,43090.1 %10.1 %
1890 → 18991,6881,68718711.1 %total under the threshold of 2000 people1,50088.9 %00.0 %
1900 → 19092,0692,06825412.3 %
1,81487.7 %00.0 %
1910 → 19192,0832,07829014.0 %
1,78886.0 %00.0 %
1920 → 19292,8542,84837913.3 %
2,46986.7 %00.0 %
1930 → 19393,2683,26146414.2 %
2,79685.7 %10.0 %
1940 → 19494,1734,16475818.2 %
3,40681.8 %00.0 %
1950 → 19594,3524,34182118.9 %
3,51981.1 %10.0 %
1960 → 19693,7333,72985022.8 %
2,87877.2 %10.0 %
1970 → 19793,9533,9491,08527.5 %
2,86372.5 %10.0 %
1980 → 19894,3354,3351,35131.2 %
2,97968.7 %50.1 %
1990 → 19991,4001,40057441.0 %total under the threshold of 2000 people82558.9 %10.1 %
2000 → 200944442965.9 %total under the threshold of 2000 people1534.1 %00.0 %
2010 → 201988450.0 %total under the threshold of 2000 people450.0 %00.0 %

[rowiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Romania10,19410,1871,69616.6 %
8,49083.3 %10.0 %
United Kingdom2,7342,73349318.0 %
2,23981.9 %10.0 %
France3,0353,03455418.3 %
2,47981.7 %10.0 %
United States of America5,6955,6951,38224.3 %
4,30675.6 %70.1 %
Germany3,0713,07077625.3 %
2,29474.7 %00.0 %

[rowiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
association football player4,6454,644360.8 %
4,60899.2 %00.0 %
academic3,0543,0521615.3 %
2,89194.7 %00.0 %
university teacher2,8902,8881535.3 %
2,73594.7 %00.0 %
faculty member2,8942,8921555.4 %
2,73794.6 %00.0 %
administrator2,2542,2531345.9 %
2,11894.0 %10.0 %
bureaucrat2,2542,2531345.9 %
2,11894.0 %10.0 %
civil servant2,2542,2531345.9 %
2,11894.0 %10.0 %
Middle management2,2542,2531345.9 %
2,11894.0 %10.0 %
employee2,3842,3831466.1 %
2,23693.8 %10.0 %
humanities scholar3,7783,7742687.1 %
3,50692.9 %00.0 %
researcher8,6478,6396297.3 %
8,01092.7 %00.0 %
scientist8,4528,4446157.3 %
7,82992.7 %00.0 %
teacher3,2393,2372367.3 %
3,00192.7 %00.0 %
erudite8,4608,4526177.3 %
7,83592.7 %00.0 %
educator3,2893,2872487.5 %
3,03992.5 %00.0 %
competitive player5,6365,6344818.5 %
5,15391.5 %00.0 %
worker8,8938,8898409.4 %
8,04690.5 %30.0 %
manager2,1682,16624211.2 %
1,92488.8 %00.0 %
visual artist2,0462,04226713.1 %
1,77486.9 %10.0 %
non-fiction writer5,5145,49375313.7 %
4,73886.3 %20.0 %
athlete8,0368,0341,11213.8 %
6,92286.2 %00.0 %
journalist3,6223,60251714.4 %
3,08385.6 %20.1 %
businessperson2,0372,03632315.9 %
1,71284.1 %10.0 %
author12,83612,8052,05916.1 %
10,74083.9 %60.0 %
writer11,82511,7941,95916.6 %
9,83083.3 %50.0 %
politician9,4959,4841,59816.8 %
7,88383.1 %30.0 %
research subject35,16135,1186,56118.7 %
28,54681.3 %110.0 %
poet3,5203,51966018.8 %
2,85781.2 %20.1 %
creator24,66524,6265,03920.5 %
19,57779.5 %100.0 %
composer2,2632,26149321.8 %
1,76678.1 %20.1 %
artist12,04012,0243,58029.8 %
8,43670.2 %80.1 %
performer3,4393,4391,04130.3 %
2,39769.7 %10.0 %
musician4,4924,4881,46732.7 %
3,01667.2 %50.1 %
film actor3,2023,2021,36542.6 %
1,83457.3 %30.1 %
actor5,1475,1462,21543.0 %
2,92756.9 %40.1 %
vocalist2,6282,6261,31650.1 %
1,30849.8 %20.1 %
singer2,5922,5901,31250.7 %
1,27649.3 %20.1 %