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Credit-Based Insurance Scores

Background

Last Updated: 3/19/2026

Insurance companies often use a consumer鈥檚 credit information when deciding whether to offer auto or homeowners insurance and how much that insurance will cost. One common tool is a credit鈥慴ased insurance score, which is based partly or entirely on information from a consumer鈥檚 credit history. These scores are used to estimate how likely someone is to file an insurance claim, not how likely they are to repay a loan. Credit鈥慴ased insurance scores were introduced by the (FICO) in the early 1990s, and that about 95 percent of auto insurers and 85 percent of homeowners insurers use them in states where the practice is allowed.

Insurers credit鈥慴ased insurance scores in underwriting and rating. Underwriting determines whether a consumer is eligible for coverage, while rating determines the premium charged. The scoring models are designed to predict the likelihood of future losses. Insurers may use the scores to group consumers by risk and then adjust premiums up or down based on the risk category assigned.

Insurance companies argue that credit鈥慴ased insurance scores help them evaluate risk more accurately and price policies accordingly. They also contend that without these scores, lower鈥憆isk consumers could end up paying higher premiums to help cover losses from higher鈥憆isk consumers.

State laws place important limits on how credit鈥慴ased insurance scores may be used. In most states, insurers cannot use these scores as the sole reason to increase rates or to deny, cancel, or refuse to renew a policy. Some states impose additional restrictions or prohibit certain uses altogether. Many states also require insurers to notify consumers when credit information played a role in an adverse decision. This 海角论坛 chart provides a state鈥慴y鈥憇tate overview of these rules.

A common source of confusion is the difference between a and a credit鈥慴ased insurance score. While both rely on credit report information, they are designed for different purposes. Traditional credit scores predict loan repayment, while insurance scores predict the likelihood of an insurance claim. Insurance scores may weigh credit factors differently, and they are typically only one of many inputs insurers use, alongside factors such as claims history, driving record, property characteristics, location, coverage limits, and deductibles.

The consumer experience after a credit鈥慴ased insurance score is used is also an important part of the discussion. Because these scores depend on the accuracy of credit reports, errors or outdated information can affect insurance outcomes. When credit information contributes to an adverse decision, consumers generally have the right to receive notice, review their credit report, and dispute inaccuracies. Regulators and consumer advocates also question whether credit鈥慴ased insurance scores fully reflect insurance risk, especially after unexpected events such as illness, job loss, or broader economic disruptions that may harm credit without increasing the likelihood of a claim.

Consumer groups continue to raise broader concerns about fairness and understanding. Many consumers are unaware that credit information is used in insurance decisions or find it difficult to understand why credit history is considered relevant to insurance risk. that credit鈥慴ased insurance scores may disproportionately affect minority and low鈥慽ncome consumers and may worsen affordability challenges for insurance coverage.

Overall, the use of credit鈥慴ased insurance scores remains an active and evolving issue in insurance regulation. Insurers, regulators, and consumer advocates continue to debate how these scores should be used, limited, or overseen to balance accurate risk assessment with transparency, fairness, and access to coverage.

Actions

State insurance regulators continue to monitor the impact of credit-based insurance scores on consumers through several 海角论坛 groups. 

The Market Regulation and Consumer Affairs (D) Committee is charged with monitoring insurer underwriting and market practices that affect consumers, including insurance availability and affordability. The Advisory Organization (D) Working Group focuses on oversight of national advisory organizations such as rating organizations and statistical agents, including reviewing examination protocols and monitoring data reporting and data quality.  The Transparency and Readability of Consumer Information (C) Working Group develops and updates consumer-facing materials and shopping tools and supports clearer disclosures, including work that helps consumers better understand pricing and policy information.  The Third-Party Data and Models (H) Working Group is developing a framework for regulatory oversight of third-party data and predictive models, which is relevant when insurers use vendor models in underwriting and rating.

海角论坛 also publishes consumer education on the topic. A 海角论坛 Consumer Insight article explains that a credit-based insurance score is not the same as a regular credit score and describes how credit and other factors can affect premiums.

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