03-29-2017, 07:14 PM
Location: NKY's Campbell Co.
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Quote:
Originally Posted by
PerryMason614
@WILWRadio - I was thinking about other ways in which markets are distinguished from one another and, at least in Ohio, the patterns that define markets do follow DMA's pretty well.
-These brands have/had high market share in Cincinnati, but not in Dayton: US Bank, Kroger, LaRosa's, Macy's, Pogues-Ayres, Van Leunens, JCPenney, Biggs, Albers, Sohio, Remke, HQ, Makro, Zayre, Dillard's ...
-These brands have/had high market share/notoriety in Dayton, but not in Cincinnati: Dayton - Chase Bank (leftover goodwill from Winters National Bank), Dororthy Lane Market, Cassano's, Stumps, Von Maur, Elder-Beerman, Liberal Markets, Speedway ...
Kroger kind of has a weak representation in Dayton, in my opinion, and no Menards, no Dillard's!
-These brands have/had high market share/notoriety in Columbus and because Columbus covers a lot of small towns, this strong representation carries over throughout the entire Columbus DMA and into West Virginia: Chase Bank, Huntington Banks, Big Bear/Giant Eagle, Schottenstein's/Value City, Marshall Field's, Lazarus, Tempo and Buckeye Mart, Von Maur, Donato's, Kaufmann's, Kroger, Speedway, Lord and Taylor, The Anderson's, Hechinger, BJ's, Turkey Hill (Kroger), Menards ...
Kroger is very strong in the Columbus and Toledo regions. There are no Turkey Hill stores in either Cincinnati or Dayton, but a few of them in Indianapolis. No Dillards in Columbus
-In Lima, Macy's is there because of Lazarus (Elder-Beerman couldn't compete and closed), as is Chase Bank and Huntington ..... BUT NO KROGER!
-In Toledo, they had Food Town, The Lion, Macy's, Kroger, The Andersons, Hudson's ...
Notice how each of the DMAs have different brands that are popular? Especially Dayton and Cincinnati?
My point being that a lot of this is driven by media and the fact that you see different companies doing business in each area is pretty good evidence that these are separate areas.
First, 2 cents on the thread topic...
I'm happy Cincinnati's metro is growing. But the biggest divider between Cincinnati and Columbus is the geography. Both on micro and macro levels. Suburbs and neighborhoods are hemmed in by the hills and valleys of Cincinnati's river basis. Then there is the different states and the river with its limited bridges outside downtown. Even the Kentucky side of the river can be compartmentalized due to the hills and valleys. It doesn't start to have the border-less sprawl that bleeds freely between suburbs until you get into Butler and Warren Counties. That continues even now into the southern reaches of Montgomery County as development finishes out on the far southern side of Centerville and Washington Township. Columbus, meanwhile, has the advantage of appearing spread out. Development can be less dense due to lack of physical obstacles and confines. It also can allow easier spreading of commuting patterns because of the flat lands around the region (Hocking being a possible but certainly not central to the metro exception). Highways can branch out in the direction of the four compass points and in between (N,S,E,W and NW,NE,SE,SW).
Now for the quoted section...
This analysis is flawed. Retailers and restaurants don't reside in metros for the reasons you mentioned. They are there because of a targeted customer base, competitive advantage and location of DCs / corporate HQ. I think the metro TV market isn't as big of a consideration and might just be more coincidental than anything.
US Bank is in Dayton.
Kroger is most definitely the dominate grocer in Dayton's metro (tell me who the other is and then we can talk...). LaRosa's Pizza has Dayton restaurants. There are Macy's at two of the three major malls in Dayton (3-4 in Dayton but 7-8 in Cincinnati, due to size of area, its geography such as the Ohio River and Mill Creek and population numbers). JC Penny is in Dayton (same two malls). Menard's has locations in the northern Dayton reaches.
I will admit Remke-Biggs is not in Dayton, but I don't see them outside of Cincinnati. Even Giant Eagle, Pittsburgh's home grocer, is bigger and covers other metros (i.e. Columbus).
Some of those brands, such as Sohio, are no longer around anywhere. They were gobbled up by BP, I believe. Just as Speedway, which benefits from being HQ'd outside Dayton where it has a quasi monopoly, now resides in the northeast and Florida with their purchase of the Hess chain.
And Pogues-Ayers (among other department stores) were regional nameplates that were a part of Federated (or May) which owned Macy's and rebranded all regional nameplates into Macy's over 10 years ago. May eventually was purchased by Federated, thus the disappearance of regional nameplates Kaufmann's, Marshall Fields, among others. The problem here is even 20 years ago, there were only four or five major players in department stores across the US. Federated, May, Saks (Parisian, Herberger's, Younker's), Dillard's and Belk's (at least in the south). The top two have merged and consolidated nameplates. Saks broke apart their down stream nameplates to Bon-Ton Store's (Elder-Beerman's now parent) and Belk bought the other big name from Saks (Parisian's final destination).
Part of that menagerie of metros served is the larger movement towards consolidation of service oriented companies. Dillard's is a prime example of this. Primarily a southern department store, among the likes of the late Parisian and its current owner, Belk, it only operates in northern metros where it bought other chains back in the 80's and 90's. It didn't buy Lazurus or Kauffman's, and never opened at Tuttle, Easton or Polaris after they entered Cincinnati and Cleveland.
Long story short.
While TV markets can mark a metro's line based on advertising, with the consolidation and fluid nature of borders, retail and other consumer services are not the end-all definition of metros. It really, IMO, should not matter at all.
03-30-2017, 05:34 AM
Location: Cincinnati (Norwood)
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^ I totally agree with your well presented argument. My initial observation was that the list of examples provided was not only totally irrelevant, but also obsolete and severely flawed. As I emphasized, any discussion of this thread should be based on the more reliable MSA index.
I appreciate your extensive knowledge and thorough presentation. Your input will help to ensure that this thread gets back on the right track.
03-30-2017, 05:22 PM
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Quote:
Originally Posted by
motorman
^ I totally agree with your well presented argument. My initial observation was that the list of examples provided was not only totally irrelevant, but also obsolete and severely flawed. As I emphasized, any discussion of this thread should be based on the more reliable MSA index.
I appreciate your extensive knowledge and thorough presentation. Your input will help to ensure that this thread gets back on the right track.
It depends upon the size of the business, market and target audience and region. In some cases the TV Market is going to be more relevant for statistical purposes than the MSA.
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Commute - mean travel time to work (minutes)
Travel time to work - Less than 5 minutes (%)
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Occupied housing units (%)
Vacant housing units (%)
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Urban houses (%)
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Mortgage status - with mortgage (%)
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Mortgage status - without a mortgage (%)
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Geographical mobility - Same house 1 year ago (%)
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Place of birth - Born in state of residence (%)
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Housing units in structures - 1, detached (%)
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Housing units in structures - 20 to 49 (%)
Housing units in structures - 50 or more (%)
Housing units in structures - Mobile home (%)
Housing units in structures - Boat, RV, van, etc. (%)
House/condo owner moved in on average (years ago)
Renter moved in on average (years ago)
Year householder moved into unit - Moved in 1999 to March 2000 (%)
Year householder moved into unit - Moved in 1995 to 1998 (%)
Year householder moved into unit - Moved in 1990 to 1994 (%)
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Means of transportation to work - Drove car alone (%)
Means of transportation to work - Carpooled (%)
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Working at home (%)
Industry diversity
Most Common Industries - Agriculture, forestry, fishing and hunting, and mining (%)
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Occupation diversity
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Most Common Occupations - Food preparation and serving related occupations (%)
Most Common Occupations - Building and grounds cleaning and maintenance occupations (%)
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Most Common Occupations - Natural resources, construction, and maintenance occupations (%)
Most Common Occupations - Farming, fishing, and forestry occupations (%)
Most Common Occupations - Construction and extraction occupations (%)
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Most Common Occupations - Production, transportation, and material moving occupations (%)
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Most Common Occupations - Transportation occupations (%)
Most Common Occupations - Material moving occupations (%)
People in Group quarters - Institutionalized population (%)
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People in Group quarters - Federal prisons and detention centers (%)
People in Group quarters - Halfway houses (%)
People in Group quarters - Local jails and other confinement facilities (including police lockups) (%)
People in Group quarters - Military disciplinary barracks (%)
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People in Group quarters - Nursing homes (%)
People in Group quarters - Hospitals/wards, hospices, and schools for the handicapped (%)
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People in Group quarters - Institutions for the deaf (%)
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People in Group quarters - Orthopedic wards and institutions for the physically handicapped (%)
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People in Group quarters - Military quarters (%)
People in Group quarters - On base (%)
People in Group quarters - Barracks, unaccompanied personnel housing (UPH), (Enlisted/Officer), ;and similar group living quarters for military personnel (%)
People in Group quarters - Transient quarters for temporary residents (%)
People in Group quarters - Military ships (%)
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People in Group quarters - Crews of maritime vessels (%)
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Residents speaking English at home (%)
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Class of Workers - State government workers (%)
Class of Workers - Federal government workers (%)
Class of Workers - Self-employed workers in own not incorporated business and Unpaid family workers (%)
House heating fuel used in houses and condos - Utility gas (%)
House heating fuel used in houses and condos - Bottled, tank, or LP gas (%)
House heating fuel used in houses and condos - Electricity (%)
House heating fuel used in houses and condos - Fuel oil, kerosene, etc. (%)
House heating fuel used in houses and condos - Coal or coke (%)
House heating fuel used in houses and condos - Wood (%)
House heating fuel used in houses and condos - Solar energy (%)
House heating fuel used in houses and condos - Other fuel (%)
House heating fuel used in houses and condos - No fuel used (%)
House heating fuel used in apartments - Utility gas (%)
House heating fuel used in apartments - Bottled, tank, or LP gas (%)
House heating fuel used in apartments - Electricity (%)
House heating fuel used in apartments - Fuel oil, kerosene, etc. (%)
House heating fuel used in apartments - Coal or coke (%)
House heating fuel used in apartments - Wood (%)
House heating fuel used in apartments - Solar energy (%)
House heating fuel used in apartments - Other fuel (%)
House heating fuel used in apartments - No fuel used (%)
Armed forces status - In Armed Forces (%)
Armed forces status - Civilian (%)
Armed forces status - Civilian - Veteran (%)
Armed forces status - Civilian - Nonveteran (%)
Fatal accidents locations in years 2005-2021
Fatal accidents locations in 2005
Fatal accidents locations in 2006
Fatal accidents locations in 2007
Fatal accidents locations in 2008
Fatal accidents locations in 2009
Fatal accidents locations in 2010
Fatal accidents locations in 2011
Fatal accidents locations in 2012
Fatal accidents locations in 2013
Fatal accidents locations in 2014
Fatal accidents locations in 2015
Fatal accidents locations in 2016
Fatal accidents locations in 2017
Fatal accidents locations in 2018
Fatal accidents locations in 2019
Fatal accidents locations in 2020
Fatal accidents locations in 2021
Alcohol use - People drinking some alcohol every month (%)
Alcohol use - People not drinking at all (%)
Alcohol use - Average days/month drinking alcohol
Alcohol use - Average drinks/week
Alcohol use - Average days/year people drink much
Audiometry - Average condition of hearing (%)
Audiometry - People that can hear a whisper from across a quiet room (%)
Audiometry - People that can hear normal voice from across a quiet room (%)
Audiometry - Ears ringing, roaring, buzzing (%)
Audiometry - Had a job exposure to loud noise (%)
Audiometry - Had off-work exposure to loud noise (%)
Blood Pressure & Cholesterol - Has high blood pressure (%)
Blood Pressure & Cholesterol - Checking blood pressure at home (%)
Blood Pressure & Cholesterol - Frequently checking blood cholesterol (%)
Blood Pressure & Cholesterol - Has high cholesterol level (%)
Consumer Behavior - Money monthly spent on food at supermarket/grocery store
Consumer Behavior - Money monthly spent on food at other stores
Consumer Behavior - Money monthly spent on eating out
Consumer Behavior - Money monthly spent on carryout/delivered foods
Consumer Behavior - Income spent on food at supermarket/grocery store (%)
Consumer Behavior - Income spent on food at other stores (%)
Consumer Behavior - Income spent on eating out (%)
Consumer Behavior - Income spent on carryout/delivered foods (%)
Current Health Status - General health condition (%)
Current Health Status - Blood donors (%)
Current Health Status - Has blood ever tested for HIV virus (%)
Current Health Status - Left-handed people (%)
Dermatology - People using sunscreen (%)
Diabetes - Diabetics (%)
Diabetes - Had a blood test for high blood sugar (%)
Diabetes - People taking insulin (%)
Diet Behavior & Nutrition - Diet health (%)
Diet Behavior & Nutrition - Milk product consumption (# of products/month)
Diet Behavior & Nutrition - Meals not home prepared (#/week)
Diet Behavior & Nutrition - Meals from fast food or pizza place (#/week)
Diet Behavior & Nutrition - Ready-to-eat foods (#/month)
Diet Behavior & Nutrition - Frozen meals/pizza (#/month)
Drug Use - People that ever used marijuana or hashish (%)
Drug Use - Ever used hard drugs (%)
Drug Use - Ever used any form of cocaine (%)
Drug Use - Ever used heroin (%)
Drug Use - Ever used methamphetamine (%)
Health Insurance - People covered by health insurance (%)
Kidney Conditions-Urology - Avg. # of times urinating at night
Medical Conditions - People with asthma (%)
Medical Conditions - People with anemia (%)
Medical Conditions - People with psoriasis (%)
Medical Conditions - People with overweight (%)
Medical Conditions - Elderly people having difficulties in thinking or remembering (%)
Medical Conditions - People who ever received blood transfusion (%)
Medical Conditions - People having trouble seeing even with glass/contacts (%)
Medical Conditions - People with arthritis (%)
Medical Conditions - People with gout (%)
Medical Conditions - People with congestive heart failure (%)
Medical Conditions - People with coronary heart disease (%)
Medical Conditions - People with angina pectoris (%)
Medical Conditions - People who ever had heart attack (%)
Medical Conditions - People who ever had stroke (%)
Medical Conditions - People with emphysema (%)
Medical Conditions - People with thyroid problem (%)
Medical Conditions - People with chronic bronchitis (%)
Medical Conditions - People with any liver condition (%)
Medical Conditions - People who ever had cancer or malignancy (%)
Mental Health - People who have little interest in doing things (%)
Mental Health - People feeling down, depressed, or hopeless (%)
Mental Health - People who have trouble sleeping or sleeping too much (%)
Mental Health - People feeling tired or having little energy (%)
Mental Health - People with poor appetite or overeating (%)
Mental Health - People feeling bad about themself (%)
Mental Health - People who have trouble concentrating on things (%)
Mental Health - People moving or speaking slowly or too fast (%)
Mental Health - People having thoughts they would be better off dead (%)
Oral Health - Average years since last visit a dentist
Oral Health - People embarrassed because of mouth (%)
Oral Health - People with gum disease (%)
Oral Health - General health of teeth and gums (%)
Oral Health - Average days a week using dental floss/device
Oral Health - Average days a week using mouthwash for dental problem
Oral Health - Average number of teeth
Pesticide Use - Households using pesticides to control insects (%)
Pesticide Use - Households using pesticides to kill weeds (%)
Physical Activity - People doing vigorous-intensity work activities (%)
Physical Activity - People doing moderate-intensity work activities (%)
Physical Activity - People walking or bicycling (%)
Physical Activity - People doing vigorous-intensity recreational activities (%)
Physical Activity - People doing moderate-intensity recreational activities (%)
Physical Activity - Average hours a day doing sedentary activities
Physical Activity - Average hours a day watching TV or videos
Physical Activity - Average hours a day using computer
Physical Functioning - People having limitations keeping them from working (%)
Physical Functioning - People limited in amount of work they can do (%)
Physical Functioning - People that need special equipment to walk (%)
Physical Functioning - People experiencing confusion/memory problems (%)
Physical Functioning - People requiring special healthcare equipment (%)
Prescription Medications - Average number of prescription medicines taking
Preventive Aspirin Use - Adults 40+ taking low-dose aspirin (%)
Reproductive Health - Vaginal deliveries (%)
Reproductive Health - Cesarean deliveries (%)
Reproductive Health - Deliveries resulted in a live birth (%)
Reproductive Health - Pregnancies resulted in a delivery (%)
Reproductive Health - Women breastfeeding newborns (%)
Reproductive Health - Women that had a hysterectomy (%)
Reproductive Health - Women that had both ovaries removed (%)
Reproductive Health - Women that have ever taken birth control pills (%)
Reproductive Health - Women taking birth control pills (%)
Reproductive Health - Women that have ever used Depo-Provera or injectables (%)
Reproductive Health - Women that have ever used female hormones (%)
Sexual Behavior - People 18+ that ever had sex (vaginal, anal, or oral) (%)
Sexual Behavior - Males 18+ that ever had vaginal sex with a woman (%)
Sexual Behavior - Males 18+ that ever performed oral sex on a woman (%)
Sexual Behavior - Males 18+ that ever had anal sex with a woman (%)
Sexual Behavior - Males 18+ that ever had any sex with a man (%)
Sexual Behavior - Females 18+ that ever had vaginal sex with a man (%)
Sexual Behavior - Females 18+ that ever performed oral sex on a man (%)
Sexual Behavior - Females 18+ that ever had anal sex with a man (%)
Sexual Behavior - Females 18+ that ever had any kind of sex with a woman (%)
Sexual Behavior - Average age people first had sex
Sexual Behavior - Average number of female sex partners in lifetime (males 18+)
Sexual Behavior - Average number of female vaginal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a woman (18+)
Sexual Behavior - Average number of woman performed oral sex on in lifetime (18+)
Sexual Behavior - Average number of male sex partners in lifetime (males 18+)
Sexual Behavior - Average number of male anal sex partners in lifetime (males 18+)
Sexual Behavior - Average age people first performed oral sex on a man (18+)
Sexual Behavior - Average number of male oral sex partners in lifetime (18+)
Sexual Behavior - People using protection when performing oral sex (%)
Sexual Behavior - Average number of times people have vaginal or anal sex a year
Sexual Behavior - People having sex without condom (%)
Sexual Behavior - Average number of male sex partners in lifetime (females 18+)
Sexual Behavior - Average number of male vaginal sex partners in lifetime (females 18+)
Sexual Behavior - Average number of female sex partners in lifetime (females 18+)
Sexual Behavior - Circumcised males 18+ (%)
Sleep Disorders - Average hours sleeping at night
Sleep Disorders - People that has trouble sleeping (%)
Smoking-Cigarette Use - People smoking cigarettes (%)
Taste & Smell - People 40+ having problems with smell (%)
Taste & Smell - People 40+ having problems with taste (%)
Taste & Smell - People 40+ that ever had wisdom teeth removed (%)
Taste & Smell - People 40+ that ever had tonsils teeth removed (%)
Taste & Smell - People 40+ that ever had a loss of consciousness because of a head injury (%)
Taste & Smell - People 40+ that ever had a broken nose or other serious injury to face or skull (%)
Taste & Smell - People 40+ that ever had two or more sinus infections (%)
Weight - Average height (inches)
Weight - Average weight (pounds)
Weight - Average BMI
Weight - People that are obese (%)
Weight - People that ever were obese (%)
Weight - People trying to lose weight (%)