Those who serve the needs of the older population must search constantly for better ways to help their clients and customers, in part because there are few specialized tools available. And as the older population increases in size and diversity, effectively supplying products and services becomes an ever-greater challenge. Government, non-profit, and charitable organizations share this problem with commercial providers, who face similar targeting and distribution issues. To help those who target older Americans, Decision Demographics proposes to develop a standardized geodemographic method to classify the over-60 population into specific social and economic groups. No currently existing geodemographic classification system provides data on older populations in all U.S. neighborhoods, or offers a wide variety of group types. Decision Demographics' PrimeSeg will fill this gap. Rather than identifying dominant characteristics for the total population, this census tract-based system will classify neighborhoods on the social, economic, demographic, and disability characteristics of only the older population. This new classification system promises to be a quick and powerful research tool for organizations that serve people aged 60 and over. Using only client or customer address information, PrimeSeg can link existing data with its specialized classification scheme to quickly produce a profile of current clients or a list of areas for potential expansion.

Proposed Commercial Applications

Decision Demographics has already identified many commercial users of existing geodemographic systems who exclusively serve the older population and have stated a need for a specialized classification system. Besides these assisted living and continuing care industry users, potential clients include survey researchers, market researchers, product and service providers, and others in government, social services, package goods, housing, financial services, home-based services, and any other industry that serves an older clientele.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43AG017781-01
Application #
6072394
Study Section
Special Emphasis Panel (ZRG1-SNEM-4 (03))
Program Officer
Li, Rose M
Project Start
2000-04-01
Project End
2001-11-30
Budget Start
2000-04-01
Budget End
2001-11-30
Support Year
1
Fiscal Year
2000
Total Cost
$115,006
Indirect Cost
Name
Decision Demographics
Department
Type
DUNS #
111251930
City
Arlington
State
VA
Country
United States
Zip Code
22207