Sometimes it seems like there is a Starbucks on every corner, and sometimes it’s true! It looks as if they have finally reached their saturation point and are now closing 616 stores throughout the United States. This Finder! dataset shows the locations of the closures. We also uploaded a dataset that shows the almost 9,000 Starbucks locations around the Globe. With this point data, you can see that many of the locations being closed are very near to other Starbucks locations. Perhaps it makes sense to close stores that would cannibalize your own market however, there are many other ways of looking at the problem. We aggregated the data out to the Zip code and to urban areas. In case you were wondering, here is a sneak peak of the locations most impacted by the closures:
By Zipcode
1. 89108 Las Vegas, NV (5)
2. 63103 St. Louis, MO (4)
3. 77102 Houston, TX (4)
4. 92101 San Diego, CA (3)
5. 63102 St. Louis, MO (3)
By Urban Area
1. Dallas Fort-Worth Arlington (25)
2. Los Angeles-Long Beach-Santa Ana (22)
3. New York-Newark (22)
4. Chicago (18)
5. Las Vegas (15)
Lastly, we decided to map out some of the Starbucks locations with a competitor to see if perhaps that played a role in the closure decisions. Below is a map from New York to Philadelphia showing Starbucks locations (transparent green dots) and Dunkin Donuts locations (transparent magenta dots). The black dots are Starbucks locations which are on the Closure list.
10 Responses to Dataset of the Day: Starbucks Closure Data
Leave a Reply
New GeoCommons Maps- Mapping Democratic Participation: Money & Recalls geographer
- Petition Circulators in SD13 geographer
- MILITARY_INSTALLATIONS_RANGES_TRAINING_AREAS_PT sparker
- test 2 sam.felipe
- Colorado snow totals Feb 3, 2012 kevingraves
- Colorado snow totals Feb 3, 2012 kevingraves
- New GeoCommons Datasets
- REGMGR.VOTING_PREC_092011 REQUIRED: The person responsible for the metadata information.
- Snowfall reports for Denver's February snowstorm, Feb. 2-4, 2012
- Area C Samples
- Merge of 'Large/Medium U.S. Military Bases, 2009' into 'MILITARY_INSTALLATIONS_RANGES_TRAINING_AREAS_PT'
- Merge of 'Large/Medium U.S. Military Bases, 2009' into 'MILITARY_INSTALLATIONS_RANGES_TRAINING_AREAS_PT'
- snow_totals_0730
I think you should post more often, I have enjoyed this so far. Added to my reader. SusanO
Sorry, but I do not agree totally with you. I am afraid that ALL affected are impacted. MOST is foe everyone …
I was the original harvester of the 9000 Starbucks locations. I’m pleased to see the dataset being used– very interesting.
Starbucks just closed 61 of its 84 stores in Australia.
List of closures:
http://www.starbucks.com/australia/closures.pdf
Remaining stores:
http://www.starbucks.com/australia/stores.pdf
Thanks Tim – we’ll get it geocoded and up into Finder! shortly. It will be itneresting to see if the patterns are the same as in the US.
best,
sean
The Starbucks closings in Australia is now up on Finder!
http://finder.geocommons.com/overlays/3875?page=
Thanks Tim!
Emily
Is there an easy way to do that? I am a noob, but willin gto save you guys the hassle next time.
Hi Tim,
You can do visual comparisons just looking at the data for both countries at the same time, and seeing if it looks like the closures are in the big cities or else where. Alternatively you can do spatial correlations to see if there is a mathematical relationship between the closures and other variables. For instance in the usa there is a dataset in Finder with the total number of Starbucks in metro areas so you could see if they were just closing stores based on saturated markets. You could go more exotic and bring in home foreclosures or gas prices and see if there is a relationship there. We’ve not exposed this type of functionality in our system, but all the data is there to do it off line. You could use a GIS package for the spatial dimension or just excel for non-spatial regression or pearson correlations.
best,
sean
I was thinking about spending some money on a coffee bean grinder, but there are so many different things to consider, many of which I’ve never even heard of before, things like: How long does it take to grind the coffee beans? How much can I grind at one time? Is the coffee bean grinder electric or manual? Is the grinder a space saver? How many coarness levels does the grinder have, ie; fine, ultrafine or coarse, medium coarseness. How was the cost of a grinder? What is difference in the most expensive grinder to the less expensive grinders? Can you use any flavor of coffee to grind? Does the coffee bean grinder come attached to a coffee maker? Does the coffee grinder have a any type of timer- along with a automatic shut off?
I simply had to say thanks all over again. I do not know the things I might have created without the thoughts shown by you relating to that concern. Previously it was an absolute frightful setting in my position, nevertheless being able to see the well-written strategy you managed that forced me to cry over gladness. I am just happier for your information as well as hope that you are aware of a great job your are carrying out instructing some other people by way of a web site. More than likely you have never come across all of us.