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McDonalds

7 (10.6%)

Burger King

6 (9.1%)

Dairy Queen

3 (4.5%)

Subway

6 (9.1%)

Wendy's

5 (7.6%)

Jack in the Box

3 (4.5%)

Popeye's

2 (3%)

Chick-fil-A

0 (0%)

Long John Silver's

5 (7.6%)

Taco Bell

6 (9.1%)

Taco Time

1 (1.5%)

A&W

5 (7.6%)

Sonic

3 (4.5%)

Arby's

5 (7.6%)

Quiznos

5 (7.6%)

Panda Express

3 (4.5%)

Church's

0 (0%)

Other

1 (1.5%)

Total Members Voted: 12

[SCD]

Hi,

I'm curious right now about the relation of certain fast food outlets to regions of particular income in the USA.  While I'm not certain to be able to obtain data, I'm still going to request for some census data in the backchannels.  The question I will be focusing on is "What is the relation between the mean income of a census subdivision and the presence of certain fast food outlets.  

As Trey Parker and Matt Stone are the key inspirations for this project, I will be looking at KFC.  

But if there's any interest, which cities do you want me to look at, if at all?  

Also, there will be a poll for which restaurants I will look at, but I will only look at 5 as I have to manually enter each one for the metropolitan areas I'll be looking at.

 


Also, as other suggestions come, I will add them to the poll.  Expect results to come in slow, if not at all first.  I'm curious as whether my GIS cell will be able to get the income data.

Cities:
Baltimore
Arlington
Blue Springs, Missouri

[Miss Cat Ears]

I'd be interested in stand-alone vs mall chik-fil-as.

[Ziiro]

Will you be able to account for corporate vs franchise?

[Bongo Bill]

Here's some related articles that are probably not actually related at all.

You can't not include McDonald's. It's too important.

[SCD]

Ziiro:  possibly later on.  

Bongo:  Thanks for the links.  I've never heard of AggData and it may come in handy for future projects in the states.

I'm not too certain on what the difference is, whether you're talking about corporate offices, vs franchise outlets only because I've never really given the subject a lot of thought.  

Also, please give me cities.  For me choosing Canadian cities is pretty easy as I've been to most of them and know already what to suspect due to my knowledge of the local cultures.  I've not a clue about the workings of American cities, so no interesting ones come to mind.  There's Detroit, but that place is a ghost town, and LA which is too big for me to chew.

What other cities would you like to see?

[Mongrel]

Baltimore? 

[Royal☭]

Have I mentioned how I live in the fast food capital of America

[Mongrel]

Looks like that map beat SCD to most of his objectives already.

[SCD]

Not quite:  I'm looking for a deeper resolution in the metropolitan area itself. 

I hope to come out with Ottawa as the base example after the 27th after exams.  The idea is that for statistical reasons, metropolitan areas are broken down in order to be able to quantify the earnings per household per ward for other forms of study.  I wish to use that to compare(not a hard process).

Again, I'm going to guess that the more ramshackle parts of town hold more KFC's than those which don't.  I also want to prove that KFC cannot be sustained in areas where the mean income reaches a certain area.

[MadMAxJr]

Blue Springs, Missouri has a KFC on the main road, and Blue Springs is mostly middle-upper class white (census data from 2000).

[Bongo Bill]

If your goal is to get a variety of cities, start from these lists. Sadly, it looks like there's no way to sort them by population, which would probably be the thing you want to do.

[SCD]

Er, this is going to be a thing of interest which individuals can relate to their home towns as opposed to a major clinical study.  Thanks, but I'll stick to personal suggestions :)