Profile picture
Grant Gregory @GrantrGregory
, 10 tweets, 7 min read Read on Twitter
A thread on @WholeFoods and elections: @Redistrict recently wrote that Dems will perform the best in areas that are geographically close to Whole Foods (WF). I decided to map/calculate the # of Whole Foods by congressional district to test his theory on WF and elections (1/9)
So first, the basics. There are 470 WF across the U.S., and 233/435 CD's have at least 1 WF in them. WF districts did tend to prefer Clinton over Trump, as they had an average 2016 pres. margin of +13 Clinton, while non-WF districts preferred Donald Trump by +8 points. (2/9)
@RepTedLieu’s #CA33, has the highest number of WF (dare I say it’s a Whole Foods gerrymander?!), with 10 WF. The Boston metro also has a large number of WF, with #MA05, and #MA07 (@AyannaPressley's new district) each having 7 (3/9)
#TX08 is the most Republican WF district (+49 Trump), while the most Democratic non-WF district is #NY15 (+89 Clinton), coincidentally Hillary’s best CD in the Country. Also, @RepCurbelo's #FL26 doesn't have a single Whole Foods, while #TX32 has 5 (4/9)
Now, 28/44 of the CD’s @UpshotNYT has polled so far are WF districts. Among those districts, the Dem candidate margin avg. has been -1, while the non-WF district Dem candidate margin avg. has been +.4, suggesting that Dems are actually doing a touch worse in WF districts. (5/9)
More importantly, WF districts are barely over-performing their 2016 pres. margins (just +.6 net avg. over-performance), while Non-WF districts (#IA01, #KS02, #PA08 and #WV03 especially) are vastly over-performing their 2016 baseline (+10 net avg. over-performance). (6/9)
Obviously, these dynamics are nuanced in like a million different ways, but the #’s are interesting and give @Redistrict's Whole Foods hypothesis a run for its money (which, we recognize, is really more of a foil for WWC districts vs. white-collar Clinton/Romney districts) (7/9)
Anyways, this has been a very fun thread to do – and virtually entirely useless in the realm of political analysis – but I did think it was a fun project and I’m glad y’all came along for the ride! (8/9)
A note on methodology: I acquired Whole Foods addresses from their website, and then geocoded those coordinates over a congressional district map. CD pres #’s were acquired from @DailyKos. Spreadsheet here: docs.google.com/spreadsheets/d… (fin.)
An amendment to this thread; WF districts swing pretty definitively towards Democrats in '16 compared to '12, while non-WF districts swung disproportionately towards Republicans. The national margin swing was -2 away from Democrats
Missing some Tweet in this thread?
You can try to force a refresh.

Like this thread? Get email updates or save it to PDF!

Subscribe to Grant Gregory
Profile picture

Get real-time email alerts when new unrolls are available from this author!

This content may be removed anytime!

Twitter may remove this content at anytime, convert it as a PDF, save and print for later use!

Try unrolling a thread yourself!

how to unroll video

1) Follow Thread Reader App on Twitter so you can easily mention us!

2) Go to a Twitter thread (series of Tweets by the same owner) and mention us with a keyword "unroll" @threadreaderapp unroll

You can practice here first or read more on our help page!

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just three indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member and get exclusive features!

Premium member ($30.00/year)

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!