By Chmura Economics & Analytics, Special for USDR
As a preferred provider of labor market data, Chmura Economics & Analytics set out to answer this question: “If Pokémon were real, which U.S. metropolitan areas would be best for Pokémon Trainers?”
Chmura created the following five industries that have employees best equipped to support players of Pokémon:
- Selected agriculture, forestry, fishing, and hunting (Trainers),
- Gyms,
- Veterinaries (Healers or Pokémon Centers),
- Selected retail shops (or Poke Mart), and
- Selected education (Professors).
Chmura’s CEO and Chief Economist, Dr. Christine Chmura, said “If Pokémon were real, trainers would be most successful in regions with the greatest concentration of people with the skills to help them become masters.”
Each of the five industries identified employ people with unique skills that the Bureau of Labor Statistics has identified as occupations. We used our JobsEQ® technology platform to identify the number of people employed in each industry, in each of the 381 metropolitan statistical areas in the nation.
Finally, we used the location quotient (LQ), a measure of the concentration of the occupations in each metro area relative to the nation, to put large and small metro areas on an even playing field.
“If Pokémon were real,” said Dr. Chmura, “then trainers would be best served in Ithaca, New York! It had the highest LQ Score of all the metro areas that take into account the five Pokémon industries.”
Dalton, Georgia ranked the lowest with a score of 56.5, primarily attributable to having the fewest concentration of gym leaders and Pokémon professors relative to the nation.
Read the entire blog and see how your metropolitan area is ranked here: http://www.chmuraecon.com/blog/2016/august/15/pok%C3%A9nomics-sees-regional-differences-among-players/
|
Best 10 Metros for Pokémon Go! |
Score |
Worst 10 Metros for Pokémon Go! |
Score |
|
Ithaca, NY |
185.5 |
Dalton, GA |
56.5 |
|
Hanford-Corcoran, CA |
166.3 |
Elkhart-Goshen, IN |
60.4 |
|
Corvallis, OR |
165.8 |
Laredo, TX |
62.0 |
|
Merced, CA |
164.8 |
Brownsville-Harlingen, TX |
62.8 |
|
College Station-Bryan, TX |
163.1 |
Weirton-Steubenville, WV-OH |
63.3 |
|
State College, PA |
159.4 |
McAllen-Edinburg-Mission, TX |
64.6 |
|
California-Lexington Park, MD |
156.8 |
Dothan, AL |
65.5 |
|
Ann Arbor, MI |
156.3 |
Las Vegas-Henderson-Paradise, NV |
65.8 |
|
Idaho Falls, ID |
154.5 |
Macon, GA |
66.6 |
|
Boulder, CO |
153.9 |
Gadsden, AL |
66.8 |
Link to our website here: www.chmuraecon.com
SOURCE Chmura Economics & Analytics
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