2016 March 06 Sunday
Patterns In Marriage Across Occupations

Play with this cool interactive graphical depiction of relationships between occupations of spouses.

A few observations: First, registered nurses seem to marry across the widest range of social classes. Some marry doctors while others marry truck drivers. But some other medical assistant occupations (e.g. licensed practical nurse, dental hygienist) are much more tilted toward marrying poorly paid guys.

Another observation: grade school and high school teachers marry across a fairly wide range of partner occupations.

Another one: looks like medical doctors today heavily marry each other. That's not true for most occupations.

Another one: cooks and waitresses marry each other. Propinquity has a lot to do with it. I'm guessing restaurants are going to become so automated that they'll lose most of their role for pairing up couples in the work place.

When truck drivers get automated out of a job will they find other jobs to make them acceptable for marriage?

Another point about jobs: jobs growth in the United States is becoming heavily focused on some coastal regions. Someone at an early stage of their career ought to take a long hard look at the graphic at that link and think about where they ought to live. If that is a long term trend then some pretty big regions aren't going to have good job prospects in the future. OTOH, if you can create your own business then the interior will probably remain a very cheap place to live.

Share |      By Randall Parker at 2016 March 06 10:11 AM 


Comments
Brett Bellmore said at March 6, 2016 1:34 PM:

Fascinating. I'm an industrial engineer, the chart says most of us marry elementary or middle school teachers. Amazingly, my wife was an elementary school teacher in the Philippines, so I married right to type, even though I married somebody on the other side of the planet!

I wonder if it's a matter of compatible personality types?

Dain said at March 7, 2016 8:25 PM:

One odd result: gay and lesbian agricultural science occupations pair up with "unemployed, no work experience in last five years." Go figure.


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