Dataset of the day: Beer and the Super Bowl
January 30th, 2009by Emily Sciarillo
So it’s happening again! The entire country will spend another Sunday with friends and family watching the Super Bowl (or at least checking out the commercials) and drinking beer. In honor, I thought I should put a dataset on Finder! on beer consumption in the US by state. The map below may give you an idea of which states will be drinking the most beer on Sunday.

To view this map in Maker! click here.
Also, in case you had to run out last minute to buy beer for the occasion, here is a map of sunday alcohol sales bans by state (off premises). If you live in one of the orange states, make sure you buy your beer on Saturday, or else you’ll be drinking apple juice!

To view this map in Maker! click here.
Popularity: 9% [?]






February 1st, 2009 at 4:10 pm
There have been some other interesting, interrelated map-based analyses done, of beer vs. other beverages (which interestingly relates back to America’s colonial times, when grapes were limited, and grain-based beverages took hold, along with hard liquor) -
Also, the map of Sunday alcohol sales isn’t completely reflective of other oddities of “blue laws” as, for example, we have here in Pennsylvania, or states which have altogether “dry” counties…
At any rate… I’ve got my Yuengling on ice chilling down. GO STEELERS!!
February 2nd, 2009 at 2:03 pm
It would also be interesting to look at correlations with ethnic heritage. Does the population come from beer drinking cultures versus wine for instance.
February 3rd, 2009 at 1:05 am
Nevada is interesting. Since these things are based on population, it generally doesn’t take into account the huge number of tourists in Nevada — especially on big weekends like this last one. Similarly, Nevada is the number one suicide rate per capita.
New Hampshire, North Dakota and Montana appear to be the only states whose consumption rivals Nevada’s inflated numbers. There must be a correlation between cold temps and drinking.
August 14th, 2009 at 3:57 pm
New Hampshire, North Dakota and Montana have very low populations and this seems to be skewing the data