Occupation Matchmaker

This is who marries whom, based on what one does for a living.
By Nathan Yau  /  Posted to Data Underload  /  Tags: ,

People typically gravitate towards others who can relate or live a similar lifestyle, which is often reflected in choice of occupation. If you’re into mathematics or science, you might have more to talk about with someone in a similar field. It’s why doctors often marry other doctors. Similar story with farming. Or the food industry.

How people with different occupations match up can say something about how personalities are compatible.

In the chart below, select an occupation to see who those with that occupation are more likely to match up with.
 

This is based on data from the American Community Survey from 2015. I counted both married and unmarried couples for the analysis.

The visual was inspired by Adam Pearce and Dorothy Gambrell’s chart for Bloomberg, which looked at the five most common matchups for each profession. However, because of the wide array of job choices (close to 500 classified by ACS), an occupation can end up in the top five with a fraction of a percentage. I was interested in the wider distributions.

I also wanted a mode of comparison that accounted for occupations that are way more common than others. For example, there’s the cliche of the CEO dating the secretary or assistant, and this shows up when you look at the absolute scale. However, a lot of the CEO and secretary relationships come about because a lot of people are secretaries.

It goes the other way around too. Less common occupations overall, such as a stucco mason, are less likely to show up near the top anywhere.

So I used a relative scale that compares occupation-specific rates with the overall married population. (You can also still see the data on an absolute scale.) How does marriage choice for people with a given occupation differ from how everyone marries?

Marriage within the entertainment industry is much more prominent. Family businesses in farming and construction are also more obvious. Mathematicians and statisticians are more likely to match up with financial examiners, social scientists, statistical assistants, and…cabinetmakers?

How do those with your job match up?

Notes

  • The data comes from the American Community Survey from 2015, and I downloaded the data using the IPUMS-USA extraction tool maintained by the University of Minnesota.
  • When looking at the relative scale, some of the less common jobs really blow up sometimes, because the denominator is so small (e.g. textile knitting machine operators). I thought about placing a maximum threshold on the radius size, but opted to keep it as-is. I suspect less noise with the ACS 5-year sample.
  • Many who work, have a spouse who is not in the labor force. I didn’t look at that here, but I did look a bit a while back.
  • For both scales, I placed minimum thresholds to show labels and decrease opacity, which highlights the more prominent occupations. The labels were unreadable otherwise.
  • I analyzed the data in R and visualized it with d3.js.

Learn to visualize your data. Become a member.

Join Today

Membership

This is for people who want to learn to make and design data graphics. Your support goes directly to FlowingData, an independently run site.

What You Get

  • Instant access to tutorials on how to make and design data graphics
  • Source code and files to use with your own data
  • Four-week course on visualization in R
  • Hand-picked links and resources from around the web

Favorites

Where Bars Outnumber Grocery Stores

A closer look at the age old question of where there are more bars than grocery stores, and vice versa.

The Most Unisex Names in US History

Moving on from the most trendy names in US history, let’s look at the most unisex ones. Some names have …

Watching the growth of Walmart – now with 100% more Sam’s Club

The ever so popular Walmart growth map gets an update, and yes, it still looks like a wildfire. Sam’s Club follows soon after, although not nearly as vigorously.

This is an American Workday, By Occupation

I simulated a day for employed Americans to see when and where they work.