Actions for Residential Insurance - Five-Year Projections from the Insurance CLOUT - 2020 database Date Type: Year; State: Illinois; Behavior: Projected count of households who have one or more residential insurance policies through Farmers

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Residential Insurance - Five-Year Projections from the Insurance CLOUT - 2020 database Date Type: Year; State: Illinois; Behavior: Projected count of households who have one or more residential insurance policies through Farmers/Zurich Sage Data. Sage Publishing Ltd Sage Data [electronic resource]

Corporate Author
Claritas
Published
Thousand Oaks, CA : Sage Publications, Inc. 2025
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Summary
Reports projections of household usage and consumption patterns for residential insurance products by geographic area. Claritas CLOUT consists of two components: Financial CLOUT and Insurance Clout. Insurance CLOUT provides geography-based estimates of usage and consumption for over 300 insurance and annuity products and services. Insurance products covered include automobile; life; residential; medical (including supplemental and Medicare supplemental insurance) and vision; accidental death and dismemberment; disability; and long-term care policies. The product also presents channel information, premium information, and consumer attitudes towards insurance. Claritas Insurance CLOUT allows you to identify the potential household demand for insurance products and services by geographic area. This dataset is generated using statistical models developed from the most current available Claritas Insurance Track survey and Claritas Pop-Facts demographic information. Claritas Insurance Track is an extensive online survey fielded across a national consumer panel of approximately 35,000 households every other year. The robust sample size allows for data modeling at geographic levels from ZIP+4 to national estimates. Both current-year estimates and five-year projections are available.
Subject(s)
ISBN
9781544386928 Sage Data Premium: Claritas Financial and Consumer Clout
Type of File/Data
Statistical data with bibliographic citation and abstract.
View MARC record | catkey: 47409536