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CONSUMER EXPENDITURE SPENDING POTENTIAL INDEX
Understanding the demographic characteristics of your target customer base and
market, the lifestyle behaviors and purchase preferences that drive their
short-term or long-term buying decisions is a proven strategy to promote highly
effective target marketing. Being able to predict future consumer demand for or
spending on a particular product or service in a given county, ZIP code, or
neighborhood, down to the smallest geographic area - applying very
reliable statistical Market Potential Data and Spending Potential data -
will give you a definite edge over your competitors and significantly
increase your market share.
Market Potential Data and Reports
Market Potential data measure the likely
demand for a product or service in a county, ZIP code, or other trade area.
The files include the expected number of consumers adults or households and
a Market Potential Index. The Market Potential Index compares the local
demand for a specific product or service to the demand for that product or
service nationally. The database is organized in 77 files and a total of
2,647 items representing goods, services, attitudes and activities collected
from Simmons survey. Each item refers to consumer spending or behavior in
a twelve-month period.
The Market Potential Index is tabulated to represent high value of 100 as
the average demand. A value of more than 100 represents high demand, and a
value of less than 100 represents low demand. An index of 120 implies that
demand in the trade area is likely to be 20 percent higher than in the U.S.; an
index of 85, 15 percent lower. For example, a ZIP Code with an index of 120 for
womens apparel reveals that the purchase of womens apparel is likely to be 20
percent higher in this ZIP Code than in the entire U.S.
Market
Potential Index Files
include:
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Apparel Clothing
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Apparel Jewelry
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Appliances Major Household
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Appliances Small Kitchen
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Automobiles Ownership
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Automobiles Travel/Clubs
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Automotive Aftermarket
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Baby Products
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Beverage Consumption Alcohol
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Beverage Consumption Carbonated
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Beverage Consumption Tea/Water/Other
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Beverage Consumption Coffee
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Beverage Consumption Fruit Juices
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Books
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Cameras and Film
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Civic Activities
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Convenience Stores
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Credit Cards
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Electronics Stereos and Television
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Electronics Video Equipment
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Electronics PC Usage, Hardware and Software
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Furniture and Household Goods
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Garden and Lawn
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Grocery Food Shopping
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Grocery Cereal and Bread
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Grocery Baked Goods
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Grocery Pudding, Jello, and Whipped Cream
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Grocery Dairy Products
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Grocery Condiments
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Grocery Mayonnaise, Salad Dressing
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Grocery Prepared Meals
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Grocery Canned Fruit
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Grocery Fresh Fruit
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Grocery Beef and Chicken
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Grocery Pork
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Grocery Hot Dogs, Fish and Mexican Food
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Grocery Cooking and Salad Ingredients
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Grocery Breakfast Foods (Non-cereal)
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Grocery Pizza, Rice, Soups
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Grocery Bread Spreads, Sugar, Syrup
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Grocery Vegetables and Potatoes
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Grocery Ice Cream and Yogurt
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Grocery Candy, Nuts, Etc.
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Grocery Snack Foods and Cookies
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Health Ailment Categories
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Health OTC Drugs for Cold, Headache, Indigestion
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Health First Aid, Vitamins and Diet
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Home Improvement
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Insurance
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Investments, Savings, and Loans
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Leisure Activities
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Mail and Phone Order/Yellow Pages
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Media Cable TV
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Media Magazine Titles
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Media Magazine Types and Newspapers
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Media Radio
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Media Television Programs
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Media Television Day-parts
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Media Program Types by Time
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Media Televised Sports Programs
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Personal Care Hygiene Products
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Personal Care Skin Products
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Personal Care Hair Products
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Personal Care Eye Products
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Pets and Products
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Psychographics Self Perception and Political Views
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Psychographics Purchasing Behavior
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Psychographics Attitudes and Lifestyles
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Restaurants
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Shoes and Footwear
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Smoking
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Sports
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Telephones and Services
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Tools
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Toys and Games
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Travel
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Miscellaneous
For example,
under the file
Restaurants you
can obtain information about these items:
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Dined Out Last 12 Months
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Take Out/Take Home Last 4 Weeks
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Take Out: Fast Food Restaurant
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Take Out: Chicken Restaurant
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Take Out: Chinese Restaurant
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Take Out: Mexican Restaurant
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Take Out: Pizza Restaurant
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Take Out: Deli
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Take Out: Supermarket
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Take Out: Other
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Fast Food: Counter/Eat-In
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Fast Food: Counter/Take-Out
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Fast Food: Drive Through Window
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Fast Food: Food Delivered
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Fast Food: 14+ Times/30 Days
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Fast Food: 6-13 Times/30 Days
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Fast Food: Less than 6 Times/30 Days
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Family Restaurant: Breakfast
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Family Restaurant: Lunch
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Family Restaurant: Dinner
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Family Rest: 6+ Times/30 Days
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Family Rest: 2-5 Times/30 Days
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Family Rest: Less than 2 Times/30 Days
Spending Potential Data and Reports
Similar in
concept to the Market Potential data, Spending Potential data measure the likely expenditure for
a product or service in a county, ZIP Code, or other trade area. The files
include the average expenditure per consumer household, total
expenditures and a Spending Potential Index. The
Spending Potential Index compares
the average local expenditure for a product or service to the average amount spent nationally. The Database is
organized into 20 files
with about 200 items representing a variety of goods and services collected from
the Bureau of Labor Statistics Consumer Expenditure Interview
Survey (CEX).
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Appeared - Adults
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Apparel - Children
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Apparel - Other
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Automotive Aftermarket
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Budget
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Entertainment
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Financial - Cash Contributions
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Financial - Investments, Savings & Banks
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Financial - Vehicle Loans
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Home Improvement
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Household Expenses
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Household Items - Appliances and Furniture
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Household Items - Electronics
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Household Items - Furnishings
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Medical
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School Expenses
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Service and Personal Expenses
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Transportation (Local)
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Travel
For example, under
the file Household Expenses you can obtain information about these
items:
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Fuel oil
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Gas, bottled or tank
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Wood, coal and other fuels
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Electricity
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Utility-natural gas
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Telephone service
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Telephone service (except mobile/car)
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Telephone service mobile/car phone
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Water and sewerage maintenance
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Community antenna or cable TV
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Trash and garbage collection
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Total groceries
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Food and nonalcoholic beverages at grocery store
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Food and nonalcoholic beverages at convenience or specialty stores
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Total alcohol
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Beer and wine for home use
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Other alcohol for home use
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Homeowners' and renters' insurance
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Homeowners' insurance
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Tenants' insurance
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United States |
1 to 10
Data Items
|
1 File
|
Each Add'1 File
|
Whole Database |
|
b County |
$ 500 |
$ 750 |
$ 250 |
$2,000 |
|
b MSA-DMA |
$ 500 |
$ 750 |
$ 250 |
$2,000 |
|
b Place |
$1,000 |
$1,500 |
$ 500 |
$3,500 |
|
b Census Tract |
$1,000 |
$1,500 |
$ 500 |
$3,500 |
|
b ZIP |
$1,000 |
$1,500 |
$ 500 |
$3,500 |
|
b Block Group |
$1,250 |
$1,750 |
$ 750 |
$5,000 |
All of the above
|
$3,500 |
$5,000 |
$1,000 |
$8,000 |
|
STATE |
1 to 10
Data Items |
1 File
|
Each Add'l File
|
Whole Database |
|
b County |
$150 |
$200 |
$ 75 |
$1,000 |
|
b MSA-DMA |
$150 |
$200 |
$ 75 |
$1,000 |
|
b Place |
$200 |
$300 |
$ 75 |
$1,500 |
|
b Census Tract |
$200 |
$300 |
$ 75 |
$1,500 |
|
b ZIP Code |
$200 |
$300 |
$ 75 |
$1,500 |
|
b Block Group |
$250 |
$350 |
$100 |
$2,000 |
All of the above
|
$600 |
$900 |
$250 |
$3,000 |
|
COUNTY |
1 to 10
Data Items |
1 File
|
Each Add'l File
|
Whole Database |
|
b Place |
$100 |
$150 |
$ 50 |
$ 750 |
|
b Tract |
$100 |
$150 |
$ 50 |
$ 750 |
|
b ZIP |
$100 |
$150 |
$ 50 |
$ 750 |
|
b Block Group |
$150 |
$200 |
$ 75 |
$1,000 |
|
All of the above |
$300 |
$450 |
$150 |
$1,500 |
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