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 %

[simplewiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
36,38536,3197,00019.3 %
29,30580.7 %140.0 %

[simplewiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091741742212.6 %total under the threshold of 2000 people15287.4 %00.0 %
1810 → 18192042042512.3 %total under the threshold of 2000 people17987.7 %00.0 %
1820 → 18291891892613.8 %total under the threshold of 2000 people16386.2 %00.0 %
1830 → 18392282282812.3 %total under the threshold of 2000 people20087.7 %00.0 %
1840 → 18492332332510.7 %total under the threshold of 2000 people20889.3 %00.0 %
1850 → 18592792792810.0 %total under the threshold of 2000 people25190.0 %00.0 %
1860 → 18693213214614.3 %total under the threshold of 2000 people27585.7 %00.0 %
1870 → 18793263264413.5 %total under the threshold of 2000 people28286.5 %00.0 %
1880 → 18894604606514.1 %total under the threshold of 2000 people39585.9 %00.0 %
1890 → 189965565512418.9 %total under the threshold of 2000 people53181.1 %00.0 %
1900 → 190990990917018.7 %total under the threshold of 2000 people73981.3 %00.0 %
1910 → 19191,6261,62536422.4 %total under the threshold of 2000 people1,26177.6 %00.0 %
1920 → 19294,2174,21674317.6 %
3,47382.4 %00.0 %
1930 → 19394,0074,00558814.7 %
3,41685.3 %10.0 %
1940 → 19493,7053,70163717.2 %
3,06182.7 %30.1 %
1950 → 19593,0843,08164120.8 %
2,43879.1 %20.1 %
1960 → 19693,2943,28973022.2 %
2,55777.7 %20.1 %
1970 → 19794,2394,23584219.9 %
3,39380.1 %00.0 %
1980 → 19894,0454,04496523.9 %
3,07576.0 %40.1 %
1990 → 199971271131143.7 %total under the threshold of 2000 people39956.1 %10.1 %
2000 → 200940402562.5 %total under the threshold of 2000 people1537.5 %00.0 %
2010 → 20191010660.0 %total under the threshold of 2000 people440.0 %00.0 %

[simplewiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Japan2,6192,6191535.8 %
2,46694.2 %00.0 %
United Kingdom3,3703,36873021.7 %
2,63478.2 %40.1 %
United States of America12,47312,4673,34526.8 %
9,11473.1 %80.1 %

[simplewiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
association football player5,8145,814701.2 %
5,74498.8 %00.0 %
competitive player8,4118,4111932.3 %
8,21897.7 %00.0 %
athlete10,11410,1145305.2 %
9,58394.7 %10.0 %
employee2,0792,0791778.5 %
1,90291.5 %00.0 %
researcher4,3364,33243710.1 %
3,89589.9 %00.0 %
scientist4,1934,18943010.3 %
3,75989.7 %00.0 %
erudite4,1984,19443210.3 %
3,76289.7 %00.0 %
teacher2,0672,06624812.0 %
1,81888.0 %00.0 %
educator2,1222,12126312.4 %
1,85887.6 %00.0 %
manager2,4072,40532213.4 %
2,08386.6 %00.0 %
worker7,4827,4771,02713.7 %
6,44786.2 %30.0 %
politician6,0096,00695115.8 %
5,04984.1 %60.1 %
businessperson2,6892,68550318.7 %
2,18081.2 %20.1 %
research subject31,12231,1016,07219.5 %
25,01680.4 %130.0 %
entrepreneur2,0632,06042320.5 %
1,63579.4 %20.1 %
non-fiction writer3,6633,66177421.1 %
2,88478.8 %30.1 %
journalist2,4042,40350721.1 %
1,89378.8 %30.1 %
author9,4939,4822,07221.9 %
7,40478.1 %60.1 %
writer8,5538,5441,98923.3 %
6,55076.7 %50.1 %
composer2,6742,67065424.5 %
2,01475.4 %20.1 %
creator19,21919,1995,26027.4 %
13,92972.6 %100.1 %
poet2,6262,62573327.9 %
1,89072.0 %20.1 %
performer4,7384,7361,52932.3 %
3,20667.7 %10.0 %
musician4,9664,9601,60632.4 %
3,35067.5 %40.1 %
artist12,58812,5744,14733.0 %
8,41967.0 %80.1 %
actor7,1167,1093,06843.2 %
4,03656.8 %50.1 %
theatrical occupation2,1852,18497444.6 %
1,20955.4 %10.0 %
film actor4,6834,6802,13645.6 %
2,54254.3 %20.0 %
stage actor2,0992,09896846.1 %
1,12953.8 %10.0 %
vocalist3,2293,2261,50146.5 %
1,72353.4 %20.1 %
singer3,1733,1701,49947.3 %
1,66952.6 %20.1 %
television actor3,2793,2791,57448.0 %
1,70351.9 %20.1 %