There are many drive of divorce and understanding them all is an arduous project . factor vary and large datasets are necessary to isolate particular “ characteristic ” that make a divorcement more potential . A new study has discovered one such ingredient   and it has to do with the gender proportion of the workplace .

agree to the enquiry , published inBiology Letters , if you work in a sector   with more members of the diametric sex , you are more likely to get a divorce . This correlation is stronger for men than it is for women . Men working in female person - dominated configurations are about 15 percent more likely to get a divorce . For womanhood in male person - dominated jobs , this figure is 10 percent .

bring out this risk was potential thanks to an telling dataset .   The researchers used   all of Denmark ’s marriage and divorce data for heterosexual couplet over a period of over 20 years . This gave them the ability to control for case-by-case component , such as education , duration of the marriage ceremony , and the presence of children . And the difference popped up .

“ What we looked at here is the dimension of men and fair sex in your professional sectors , whether you have many colleague of the opposite sexual activity compared to having many colleagues of the same sex , and how that connect to divorcement rates , ” lead author Dr Caroline Uggla , from Stockholm University , separate IFLScience .

“ The most important finding , once controlled for other factors , is that there seems to be an association with the sexuality proportion of your sphere . ”

The researchers also found something interesting when it came to the great unwashed ’s pedagogy storey . high education attainment tends to be associated with lower divorce rates but in this particular subject area , the squad determine that this did n’t use   to piece .

“ extremely educated men who work in women - predominate sectors are more likely to divorce than lower - educated men working in woman - dominated sector , "   Dr Uggla explained . " Lower - educated cleaning lady mould with quite a little of human being were more likely to split up but there was no such pattern for extremely educate women . ”

The researcher note that the research can be expanded upon ,   incorporate other factors that they were ineffectual to investigate . For example , personality type might play a role in such differences . There could also be time tendency within the data point due to interchange attitude , a change company , and changes to sealed chore sectors .