LexisNexis® Territory Index
Achieve Precise, Scalable, Targeted Homeowners Pricing
LexisNexis® Territory Index will help you in better understanding loss costs by peril at a territory level and as a portfolio.
LexisNexis® Territory Index cleanses, normalizes and links disparate data sets and leverages comprehensive loss data to deliver a series of loss cost scores that help you price homeowners policies with greater precision.
Benefits
- Achieve Greater Precision Pricing
Develop more precise homeowners rates based on a deeper understanding of peril-based loss drivers in your homeowners book of business. - Scale to Your Requirements
Access resolutions which are available at census block group, census tract, zip code and county level. - Target Specific Properties
Better understand the perils likely to impact a specific property based on local-level historical data. - Optimize Your Book of Business
Elevate the sophistication of your homeowners rating plan by leveraging LexisNexis vast proprietary and targeted data sources.
Features
- Access to Comprehensive Data
Leverage industry-wide comprehensive loss data to achieve precision pricing. - Receive Up-to-date Information
Obtain updated by-peril loss cost relativities in batch format with an annual refresh.
LexisNexis® Territory Index services are not provided by “consumer reporting agencies,” as that term is defined in the Fair Credit Reporting Act (15 U.S.C. § 1681, et seq.) (“FCRA”) and does not constitute “consumer reports,” as that term is defined in the FCRA. Accordingly, the LexisNexis Territory Index service may not be used in whole or in part as a factor in determining eligibility for credit, insurance, employment or for any other eligibility purpose that would qualify it as a consumer report under the FCRA. Due to the nature of the origin of public record information, the public records and commercially available data sources used in reports may contain errors. Source data is sometimes reported or entered inaccurately, processed poorly or incorrectly, and is generally not free from defect. Before relying on any data, it should be independently verified.