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 %

[ptwiki] Gender Gap

TotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
211,802210,50937,48117.8 %
172,97082.2 %580.0 %

[ptwiki] Gender Gap by year of birth

Years of birthTotalTotal with genderFemales% FemalesGapMales% MalesOthers% Others
1800 → 18091,4211,4211087.6 %total under the threshold of 2000 people1,31392.4 %00.0 %
1810 → 18191,5191,5191077.0 %total under the threshold of 2000 people1,41293.0 %00.0 %
1820 → 18291,5701,5701328.4 %total under the threshold of 2000 people1,43891.6 %00.0 %
1830 → 18391,8391,8391407.6 %total under the threshold of 2000 people1,69892.3 %10.1 %
1840 → 18492,1532,1531888.7 %
1,96591.3 %00.0 %
1850 → 18592,4882,4871977.9 %
2,29092.1 %00.0 %
1860 → 18693,0283,02734311.3 %
2,68488.7 %00.0 %
1870 → 18793,7083,70841611.2 %
3,29288.8 %00.0 %
1880 → 18895,0845,0804959.7 %
4,58490.2 %10.0 %
1890 → 18995,7065,70070012.3 %
5,00087.7 %00.0 %
1900 → 19096,9236,90982211.9 %
6,08788.1 %00.0 %
1910 → 19198,2228,20195411.6 %
7,24788.4 %00.0 %
1920 → 192910,0069,9811,25212.5 %
8,72887.4 %10.0 %
1930 → 193911,06111,0311,45913.2 %
9,56886.7 %40.0 %
1940 → 194914,74514,7032,25615.3 %
12,44384.6 %40.0 %
1950 → 195915,10215,0602,82518.8 %
12,23181.2 %40.0 %
1960 → 196916,44216,4103,77823.0 %
12,62776.9 %50.0 %
1970 → 197919,75219,7215,18826.3 %
14,52373.6 %100.1 %
1980 → 198924,09024,0636,92328.8 %
17,12271.2 %180.1 %
1990 → 199910,18910,1563,11130.6 %
7,04069.3 %50.0 %
2000 → 200933733418956.6 %total under the threshold of 2000 people14543.4 %00.0 %
2010 → 201925251144.0 %total under the threshold of 2000 people1456.0 %00.0 %

[ptwiki] Gender Gap by country of citizenship

Country ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Italy4,3034,30353112.3 %
3,77187.6 %10.0 %
Portugal10,0349,9961,37413.7 %
8,62186.2 %10.0 %
Germany10,15510,1531,42414.0 %
8,72685.9 %30.0 %
France9,6709,6671,38114.3 %
8,28385.7 %30.0 %
Argentina2,7172,71740715.0 %
2,31085.0 %00.0 %
Poland2,0242,02233716.7 %
1,68583.3 %00.0 %
Spain5,1025,10085016.7 %
4,24883.3 %20.0 %
Brazil37,31936,6996,19016.9 %
30,50083.1 %90.0 %
Soviet Union2,3812,38143418.2 %
1,94781.8 %00.0 %
United Kingdom11,28711,2832,12818.9 %
9,15081.1 %50.0 %
Sweden2,1772,17748022.0 %
1,69677.9 %10.0 %
United States of America34,34434,3337,88423.0 %
26,42677.0 %230.1 %
Japan3,7433,74292224.6 %
2,82075.4 %00.0 %
Australia2,3882,38671630.0 %
1,66969.9 %10.0 %
Russia2,1652,16565830.4 %
1,50769.6 %00.0 %
Canada2,5792,57978730.5 %
1,79169.4 %10.0 %

[ptwiki] Gender Gap by occupation

Occupation ▴ Total ▾ Total with gender ▾ Females ▾ % Fem. ▾ GapMales ▾ % Mal. ▾ Others ▾ % Oth. ▾
Catholic priest2,4922,49200.0 %
2,492100.0 %00.0 %
presbyter2,6782,67820.1 %
2,67699.9 %00.0 %
clergyman3,0093,00960.2 %
3,00399.8 %00.0 %
minister3,0093,00960.2 %
3,00399.8 %00.0 %
priest4,0744,074200.5 %
4,05499.5 %00.0 %
cleric4,1614,161270.6 %
4,13499.4 %00.0 %
head coach4,7544,754491.0 %
4,70599.0 %00.0 %
association football manager4,7484,748491.0 %
4,69999.0 %00.0 %
military personnel5,7625,758651.1 %
5,69098.8 %30.1 %
Christian religious3,3843,384401.2 %
3,34498.8 %00.0 %
combatant6,1616,157761.2 %
6,07898.7 %30.0 %
warrior6,1496,145761.2 %
6,06698.7 %30.0 %
manual worker6,2086,204881.4 %
6,11398.5 %30.0 %
motorsports competitor2,0142,014321.6 %
1,98198.4 %10.0 %
racing driver2,0142,014321.6 %
1,98198.4 %10.0 %
coach5,5665,5661102.0 %
5,45598.0 %10.0 %
engineer3,7333,7331193.2 %
3,61496.8 %00.0 %
association football player26,77226,7719553.6 %
25,81596.4 %10.0 %
religious5,5865,5852163.9 %
5,36996.1 %00.0 %
physicist2,5512,5511054.1 %
2,44695.9 %00.0 %
official4,1854,1801834.4 %
3,99695.6 %10.0 %
diplomat2,5872,5871254.8 %
2,46195.1 %10.0 %
mathematician4,3064,3052155.0 %
4,09095.0 %00.0 %
administrator6,6626,6563315.0 %
6,32395.0 %20.0 %
bureaucrat6,6626,6563315.0 %
6,32395.0 %20.0 %
Middle management6,6626,6563315.0 %
6,32395.0 %20.0 %
civil servant6,6616,6553315.0 %
6,32295.0 %20.0 %
employee7,0097,0033785.4 %
6,62394.6 %20.0 %
university teacher9,4969,4965736.0 %
8,92294.0 %10.0 %
faculty member9,5149,5145776.1 %
8,93693.9 %10.0 %
philosopher2,3742,3731456.1 %
2,22893.9 %00.0 %
academic9,8809,8806036.1 %
9,27593.9 %20.0 %
astronomer2,4072,4061506.2 %
2,25693.8 %00.0 %
humanities scholar8,0378,0365186.4 %
7,51793.5 %10.0 %
historian3,2753,2752146.5 %
3,06193.5 %00.0 %
naturalist2,8252,8232027.2 %
2,62192.8 %00.0 %
leader3,4563,4552517.3 %
3,20492.7 %00.0 %
biologist2,6892,6881987.4 %
2,49092.6 %00.0 %
researcher26,20626,1991,9467.4 %
24,24992.6 %40.0 %
jurist4,7764,7733587.5 %
4,41492.5 %10.0 %
erudite25,32625,3211,9097.5 %
23,40892.4 %40.0 %
scientist25,30525,3001,9067.5 %
23,39092.5 %40.0 %
physician2,8842,8832217.7 %
2,66092.3 %20.1 %
director2,8892,8882318.0 %
2,65792.0 %00.0 %
teacher10,72410,7228648.1 %
9,85791.9 %10.0 %
educator10,88410,8829128.4 %
9,96991.6 %10.0 %
lawyer3,5003,4982938.4 %
3,20491.6 %10.0 %
social scientist4,9224,9214479.1 %
4,47490.9 %00.0 %
cyclist5,5985,5985569.9 %
5,04290.1 %00.0 %
sport cyclist5,5985,5985569.9 %
5,04290.1 %00.0 %
worker31,95931,9443,30310.3 %
28,62289.6 %190.1 %
manager7,3507,34976610.4 %
6,58089.5 %30.0 %
politician24,80624,7152,71811.0 %
21,99089.0 %70.0 %
guitarist2,0962,09623311.1 %
1,86388.9 %00.0 %
competitive player40,13540,1314,53211.3 %
35,59688.7 %30.0 %
designer2,8982,89733311.5 %
2,56488.5 %00.0 %
film director3,8643,86444211.4 %
3,41988.5 %30.1 %
health professional3,5133,51141211.7 %
3,09788.2 %20.1 %
painter4,6184,61254411.8 %
4,06688.2 %20.0 %
director4,3104,31051111.9 %
3,79688.1 %30.1 %
visual artist7,2727,26087812.1 %
6,37987.9 %30.0 %
businessperson6,7916,78986712.8 %
5,91887.2 %40.1 %
instrumentalist5,0865,08166713.1 %
4,41386.9 %10.0 %
entrepreneur5,2035,20171713.8 %
4,48086.1 %40.1 %
screenwriter4,9914,99070814.2 %
4,28085.8 %20.0 %
martial artist2,0572,05529314.3 %
1,76285.7 %00.0 %
athlete58,95158,9428,78414.9 %
50,15285.1 %60.0 %
producer4,0744,07260614.9 %
3,46285.0 %40.1 %
non-fiction writer12,91012,9052,27017.6 %
10,62882.4 %70.1 %
basketball player3,0123,01254017.9 %
2,47282.1 %00.0 %
author35,73335,6896,48618.2 %
29,18581.8 %180.1 %
producer2,3402,33942518.2 %
1,91181.7 %30.1 %
film producer2,2892,28841618.2 %
1,86981.7 %30.1 %
composer8,5978,5781,59518.6 %
6,97681.3 %70.1 %
research subject156,814156,70629,83919.0 %
126,81480.9 %530.0 %
writer31,11031,0866,06619.5 %
25,00580.4 %150.0 %
journalist8,5888,5831,73420.2 %
6,84379.7 %60.1 %
poet8,7488,7431,96122.4 %
6,77977.5 %30.0 %
creator87,52687,44520,12723.0 %
67,27276.9 %460.1 %
novelist2,3442,34163727.2 %
1,70472.8 %00.0 %
musician18,23118,1985,18128.5 %
13,00371.5 %140.1 %
songwriter4,1664,1651,21829.2 %
2,94470.7 %30.1 %
lyricist4,2454,2431,24329.3 %
2,99770.6 %30.1 %
performer11,85211,8463,51329.7 %
8,32970.3 %40.0 %
artist48,77448,71914,98430.8 %
33,69669.2 %390.1 %
athletics competitor2,3382,33578533.6 %
1,54766.3 %30.1 %
tennis player2,1142,11378837.3 %
1,32462.7 %10.0 %
voice actor2,2022,20283537.9 %
1,36762.1 %00.0 %
theatrical occupation4,0804,0801,71542.0 %
2,36558.0 %00.0 %
stage actor3,8013,8011,69344.5 %
2,10855.5 %00.0 %
vocalist10,26710,2594,60844.9 %
5,64455.0 %70.1 %
actor21,73321,7219,94445.8 %
11,74954.1 %280.1 %
singer9,6579,6494,43846.0 %
5,20553.9 %60.1 %
television actor6,9226,9223,18946.1 %
3,72653.8 %70.1 %
film actor11,01211,0085,17147.0 %
5,81952.9 %180.2 %
model3,7703,7633,12583.0 %
62916.7 %90.2 %