Data Visualization on Starbucks U.S. Locations

Posted on Aug 2, 2020
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Over time, why did Starbucks choose the locations they chose? What data do they focus on?

Website Scraped: www.city-data.com

MOTIVATING QUESTION FOR THIS ANALYSIS: 

When did the first starbucks location open in different cities?

And what was the underlying motivation for these location choices?

Data

First Opening Date vs. Population Size  for Each Sample City 

Data Visualization on Starbucks U.S. Locations

The vast majority of cities with a Starbucks opened during this time had a population under 250,000.

 

Cost of Living Index Data 

The cost-of-living index is a theoretical price index measuring relative cost of living for each state. 

The average cost-of-living index score is always set to 100.

Data Visualization on Starbucks U.S. Locations

Data Visualization on Starbucks U.S. Locations

 

Around the time of the "Great Recession" economic downturn, there was a short, but temporary, store opening lull.

Interestingly, initial store locations Cost of Living Index Scores generally fell around the average score of 100.  However, the cost of living index of the cities for the later surge of stores ran the spectrum, with a wide range and distribution of high and low Cost of Living Indices. 

CONCLUSIONS

To emulate Starbucks growth pattern:

  1. Start middle of the road.
    Open locations in places where the Cost of Living is about average.
  2. Middle of the road for city population, too.
    Save the little towns and more populous cities for later.
  3. Once you’ve figured out your model...
    SURGE and saturate the market.

About Author

Gregory Weber

Greg is a Certified Data Science Professional with a background in Mathematics, Education, Music and a passion for creating valuable insights through data. He enjoys and excels in presenting data analysis and implementing solutions across collaborative organizations. Greg...
View all posts by Gregory Weber >

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