3. #rankingsdemyst
Our Guests Today
Kurt Badenhausen
Forbes
@kbadenhausen
• Senior Editor
• 15 Years at Forbes
• Sports Business
• Author of “Best Places for
Business & Careers” & “Best
States for Business”
Morgan Brennan
Forbes
@MorganLBrennan
• Real Estate Reporter
• 4 Years at Forbes
• Fox News Contributor
• Author of “America’s
Coolest Cities” & “America’s
Fastest Growing Cities”
Moderator ‐ Steve Duncan, DCI, @sdunc33
• Account Director
• 9 Years at DCI
• Rankings & PR Specialist
10. #rankingsdemyst
Best States for Business
• Started 2006
• Rank 50 states across 35 metrics
• 6 main categories: business costs, labor supply,
regulatory environment, economic climate,
growth prospects, quality of life
• Sources: Moody’s, Census, Bert Sperling, FBI, Tax
Foundation, Mercatus Center, SBA, BEA, BLS,
United Health Foundation, Pollina Corporate Real
Estate, Dept. of Ed., PricewaterhouseCoopers
19. #rankingsdemyst
Coolest Cities Methodology
• Definition: “Cool” is defined by Merriam‐Webster’s dictionary as “very
good; fashionable.”
• Data: We used 7 metrics.
– 1. Entertainment Options per capita (museums, festivals, theater and concert venues) ‐
Sperling’s Best Places
– 2. Recreational Opportunities per capita (green space, the cost and number of outdoor
activities, number of pro and college sports teams) ‐ Sperling’s Best Places
– 3. Restaurants and Bars per capita (focusing exclusively on the locally‐owned businesses
rather than chain restaurants) ‐ Sperlings Best Places
– 4. Cultural Diversity (Diversity Index measuring the likelihood of meeting someone of a
different race or ethnicity) – Sperlings Best Places
– 5. Median Age (higher ranking tied to lower ages) ‐ U.S. Census Bureau
– 6. Net Migration (number of people relocating in 2011) – Moody’s Analytics
– 7. Unemployment Rate – Bureau of Labor Statistics
• Consistency: We measured our geographic entities by Metropolitan
Statistical Area (MSA), as defined by the Office of Management &Budget,
looking at the 65 largest MSAs.
22. #rankingsdemyst
Fastest Growing Cities Methodology
• Definition: So‐called Boomtowns, or the fastest growing large metro
areas in terms of both population and economy.
• Data: We used 6 metrics.
– 1. & 2. Population Growth (net growth for 2012 and projected growth
for 2013) – Moody’s Analytics
– 3. Job Growth (2012) ‐ Moody’s Analytics
– 4. Gross Metro Product Growth (local economic growth rate, 2012) ‐
Moody’s Analytics
– 5. Unemployment Rate – Bureau of Labor Statistics
– 6. Income (median salaries for college‐educated workers) ‐ Payscale
• Consistency: We measured our geographic entities by Metropolitan
Statistical Area (MSA), as defined by the Office of Management & Budget,
looking at the 100 largest MSAs.
24. #rankingsdemyst
Lessons Learned From Rankings
• It’s All About The Numbers
Your list is only as good as the data you use:
1. Newness. How “fresh” that information is has a huge impact
on the results (ex: home prices; Census data)
2. Size. How large the geographic entities are (New York MSA is
vast w. many suburbs affecting data vs. City Division or even
Metropolitan Division) ; how large the sample size is (comparing
100 cities v. 20 cities)
• Lists Evolve
1. Subjectivity. Every ranking, no matter the data, is going to be
subjective because it rests on your definition. Coolest Cities is
the ultimate example.
2. Change. You can always alter the methodology – or improve
upon it in future incarnations. Again a great example is
Coolest Cities.