How To Choose the Best Homeowners Insurance Policy
Many insurance companies will give you a discount if you buy more than one type of policy from them, such as home insurance and auto insurance. This is called insurance bundling or a multi-policy discount. This is worth it to the insurance company because it generates more revenue per customer and helps promote customer loyalty.
Insurance bundling doesn't always save money. For example, an auto insurance company may offer lower rates than companies that sell several types of policies, according to Amy Bach of the consumer advocacy group United Policyholders. Bach says that a company specializing in auto insurance may also offer benefits not available in an insurance bundle from another insurer, such as ticket forgiveness or claims-free discounts
How to Find the Best Homeowners Insurance for These Common Situations
Many insurance companies will give you a discount if you buy more than one type of policy from them, such as home insurance and auto insurance. This is called insurance bundling or a multi-policy discount. This is worth it to the insurance company because it generates more revenue per customer and helps promote customer loyalty.
Insurance bundling doesn't always save money. For example, an auto insurance company may offer lower rates than companies that sell several types of policies, according to Amy Bach of the consumer advocacy group United Policyholders. Bach says that a company specializing in auto insurance may also offer benefits not available in an insurance bundle from another insurer, such as ticket forgiveness or claims-free discounts
First-time home buyers
Dog owners
Living in a high-risk area
Owning valuable items
Living in an older home
The following describes our 360 approach to researching and analyzing homeowners insurance companies to guide prospective consumers.
1. We researched the companies and products people care most about.
U.S. News analyzed and compared a variety of publicly available data, including internet search data, to determine which homeowners insurance companies and agencies Americans are most interested in. We found 15 homeowners insurance companies and agencies that stand out in terms of volume of searches and research among consumers, as well as across the different rating sources.
We then compared the available homeowners insurance companies and agencies across several criteria, including standard cost, dwelling and structure coverage, identity theft protection, valuable possessions coverage, and available discounts. Research shows that these are the most important criteria for people shopping for a homeowners insurance company.
2. We created objective 360 Overall Ratings based on an analysis of third-party reviews.
U.S. News’ 360 Reviews team applied an unbiased methodology that includes opinions from professional reviews as well as consumer reviews.
Our scoring methodology is based on a composite analysis of the ratings and reviews published by credible third-party professional and consumer review sources. The ratings are not based on personal opinions or experiences of U.S. News. To calculate the ratings:
(a) We compiled two types of third-party ratings and reviews:
- Professional Ratings and Reviews. Many independent homeowners insurance evaluating sources have published their assessments of homeowners insurance companies and agencies and their policies online. We consider several of these third-party reviews to be reputable and well-researched. However, professional reviewers often make recommendations that contradict one another. Rather than relying on a single source, U.S. News believes consumers benefit most when these opinions and recommendations are considered and analyzed collectively with an objective, consensus-based methodology.
- Consumer Ratings and Reviews. U.S. News also reviewed published consumer ratings and reviews of homeowners insurance providers. Sources with a sufficient number of quality consumer ratings and reviews were included in our scoring model.
(b) We standardized the inputs to create a common scale.
The third-party review source data were collected in a variety of forms, including ratings, recommendations, and accolades. Before including each third-party data point into our scoring equation, we had to standardize it so that it could be compared accurately with data points from other review sources. We used the scoring methodology described below to convert these systems to a comparable scale.
The 360 scoring process first converted each third-party rating into a common 0 to 5 scale. To balance the distribution of scores within each source’s scale, we used a standard deviation (or Z-Score) calculation to determine how each company and agency’s score compared to the source’s mean score. We then used the Z-Score to create a standardized U.S. News score using the method outlined below:
- Calculating the Z-Score: The Z-Score represents a data point's relation to the mean measurement of the data set. The Z-Score is negative when the data point is below the mean and positive when it's above the mean; a Z-Score of 0 means it's equal to the mean. To determine the Z-Score for each third-party rating of a company or agency, we calculated the mean of the ratings across all companies evaluated by that third-party source. We then subtracted the mean from the company’s rating and divided it by the standard deviation to produce the Z-Score.
- Calculating the T-Score: We used a T-Score calculation to convert the Z-Score to a 0-100 scale by multiplying the Z-Score by 10. To ensure that the mean was equal across all data points, we added our desired scoring mean (between 0 and 10) to the T-Score to create an adjusted T-Score.
- Calculating the common-scale rating: We divided the adjusted T-Score, which is on a 100-point scale, by 20 to convert the third-party rating to a common 0-5 point system.
We assigned “source weights” to each source used in the consensus scoring model based on our assessment of how much the source is trusted and recognized by consumers and how much its published review process indicates that it is both comprehensive and editorially independent. The source weights are assigned on a 1-5 scale. Any source with an assigned weight less than two was excluded from the consensus scoring model.
Finally, we combined the converted third-party data points using a weighted average formula based on source weight. This formula calculated the consensus score for each product, which we call the 360 Overall Rating.

