This study examines the effect of credit-based insurance scores on the price and availability of automobile insurance and the impact of such scores on racial and ethnic minority groups and on low-income groups. Using a large database of insurance policies, the study shows that scores are effective predictors of risk under automobile policies. At the same time, scores are observed to be distributed differently among racial and ethnic groups, and this difference is likely to have an effect on the insurance premiums that these groups pay, on average. Nonetheless, scores appear to derive a relatively small amount of their predictive power from their correlation with race and ethnicity. Finally, the Commission could not develop an alternative scoring model that would continue to predict risk effectively, yet decrease the differences in scores among racial and ethnic groups.