Sandwich Place Geography
As of this writing, there are over 27,000 Subway restaurants in the United States and about 16,000 locations in other countries, putting the total count at around 43,000. In contrast, McDonald’s has about 36,000 locations worldwide, or somewhere around 16 percent fewer locations than Subway.
That’s a lot of chopped lettuce.
Arby’s, Subway’s nearest sandwich competitor, is dwarfed with about 3,300 locations. Jimmy John’s and Panera Bread have about 2,000 locations each. In fact, there are more than twice as many Subway locations as there are all other sandwich chains (with at least 100 locations) combined.
The map below shows Subway’s dominance. Each circle represents an area with a 10-mile radius, colored by the nearest sandwich chain. Subway’s lead is clear with unexpectedly much more gusto than McDonald’s. There are a few other sandwich places sprinkled here and there.
Take Subway out of the equation, and you get the map below. Arby’s starts to exert its dominance, but not with nearly the same magnitude as Subway. Jimmy John’s, Blimpie, and Charley’s start to poke through in the east. You see a good number of Togo’s in California. It’s kind of a free-for-all in other areas.
This kind of surprised me, because I expected to see more regional clustering like the comparison between Dunkin’ Donuts and Starbucks. But even if you take away both Subway and Arby’s national coverage, you still get a mixed bag of sandwiches.
So basically, wherever you are, it’s likely there’s a Subway not too far away. And if you don’t want Subway, there’s probably another sandwich option nearby, not to mention all the local, independently-owned options.
Thanks to AggData for the sandwich data.
Become a member.
Get unlimited access to tutorials, courses, and practical guides. Make great charts.
This is for people interested in the process of creating, designing, and exploring data graphics. Your support goes directly to FlowingData, an independently run site.
What You Get
- Learn to make any chart with instant access to step-by-step tutorials.
- Download source code and files to use with your own data.
- In-depth courses on visualization to learn at your own pace.
- Stay up-to-date with additional resources and visualization tools.
- Get the members-only newsletter.
A Day in the Life: Work and Home
I simulated a day for employed Americans to see when and where they work.
One Dataset, Visualized 25 Ways
“Let the data speak” they say. But what happens when the data rambles on and on?