Consumer Buying Power
Consumer Buying Power provides the
most current consumer expenditures available. Enhanced methodology,
expansion of categories and more clearly organized data make the
Consumer Buying Power database an outstanding information source. It
contains current-year estimates and 5-year projections of total
household expenditures for over 350 specific product categories,
including goods and services, and 73 summary categories.
Additionally, Claritas developed a cross-reference
that leverages the Consumer Buying Power database to
estimate potential consumer expenditures by store
types for 41 distinct retail store types. Breakdowns
of average household expenditures are also available
for 53 Yellow Page headings. The estimates also
include College Dorm (group quarters) population
expenditures in areas where college dorms are
present.
Consumer Buying Power data is
an invaluable tool for target marketing. The
following provides examples of applications for this
type of data:
- Mobile
phone service expenditures to better track
consumers' transition to wireless technology.
- Elder
care expenses, a growing concern as baby boomers
hit retirement age.
- Vitamins and other health supplements, a booming
market added to better reflect society's growing
health concerns.
- Household Repair and Services facilitates
exploration of homeowners' trend to
do-it-yourself projects and home remodeling.
- Tuition costs, expanded to better reflect the
increased use of private education.
- Automotive sales' differentiation between lease
and purchase, new and used.
How Consumer Buying
Power (CBP) is Built
The database is created
using statistical models estimated from the Bureau
of Labor Statistics' Consumer Expenditure Surveys (CEX)
and the most current CES data available. Current CBP
data employs the most recent annual surveys
(1997-2001). Claritas has an archive of the CEX over
many years, but uses the latest five years to update
the CBP model coefficients each year.
The methodology now includes
an independent set of national-level expenditure
estimates and projections. Developed by Global
Insight, formerly Wharton Econometric Forecasting
Associates (WEFA), national expenditure models are
created as controls to update the national spending
levels for Consumer Buying Power line items.
Details
License the Consumer
Buying Power database and automatically receive the
summary data found in the Consumer Buying Power
Summary database -current-year aggregate household
expenditures for 73 summary-level products/services
in your local market. Summaries are created through
the aggregation of individual variables into broad
groupings. For example, the summary variable
"Photographic Equipment" would provide total
household expenditures for the specific variables
"Film" + "Film Processing" + "Photographic
Equipment".
CBP Expenditure Categories
Line items are summarized into product and service
categories such as:
- Apparel
- Education
- Electronic Devices
- Food
at Home
- Furniture
- Major
Appliances
- Medical Expenses
- Personal Care
CBP Retail
Store Categories
Similar product/service categories are aggregated
into broader groupings of 41 retail store types
based on the type of store(s) in which specific
products would likely be purchased. These groupings
include:
- Eating
places
- Furniture
- Grocery
- Shoes
- Sporting goods
CBP by Yellow
Page Headings
Line items are aggregated into 53 headings based on
where products/services would most likely be found
in the Yellow Pages section of your local phone
directory. Groupings include headings such as:
- Hardware
- Lawn
care services
- Major
appliances
- Restaurants
- Video
rentals
Census & ZIP Code Boundary Maps
Claritas Data includes Census and
ZIP Code Boundary files to use with MapInfo and
ArcView for Thematic
mapping.
Download
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Consumer Buying Power is a
registered trademark of Claritas.
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