Some jobs have a tendency in the direction of increased divorce charges and a few decrease. Whereas not your full identification, a job suggests wage, training, and age, amongst different traits which are associated to relationship historical past.
The next charts present jobs with the highest to the lowest divorce charges, primarily based on knowledge from the American Group Survey.
Divorce charge, by occupation
Seek for or choose an occupation beneath.
The survey doesn’t straight ask respondents if they’ve ever divorced or separated. As a substitute, we all know the marital standing on the time of the survey and the variety of occasions somebody has married. The above displays the proportion of people that work a job and have been both divorced, separated, or married greater than as soon as. For instance, an individual in his second marriage would say he was at the moment married, however we assume he was divorced beforehand.
Bus drivers are amongst these mostly divorced or separated at 48%. Bartenders, vocational nurses, and therapeutic massage therapists present comparable.
Actuaries, skilled estimators of danger, are method on the backside at solely 14%. Bodily scientists are nearly as equally measured.
Right here is the breakdown by occupation class.
Divorce charge by job class
Amongst staff who married at the least as soon as
Healthcare help and transportation have increased divorce charges, which matches with the general chart. The pc and math class, together with structure and engineering, tends in the direction of decrease charges.
Some classes, akin to protecting service or healthcare practitioners, cowl a wider vary as an alternative of clustering in a single spot. This normally means the class has extra variation in jobs.
My takeaway is the actuaries. It nonetheless amuses me that they’re the outliers on the low finish. Proper on the nostril.
Notes
The info relies on the five-year American Group Survey for 2024. I downloaded microdata by way of IPUMS. I analyzed and processed the information in R and made the charts with D3.js.
