Experience Rating

What Is Experience Rating?

Experience rating is a method insurers use to set premiums partly based on a policyholder's own claim history. Instead of charging every buyer in the same risk category the same base price, the insurer compares the account's actual losses with the losses it would normally expect from a company of that size and type. A business with fewer or smaller claims than expected may earn a credit, while one with heavier losses may pay a surcharge.

The method is most common in commercial lines where a policy covers many employees or a sizable exposure, such as workers' compensation insurance, general liability insurance, commercial auto, and group health. In the United States, workers' compensation experience modifiers are often calculated by rating bureaus such as the National Council on Compensation Insurance.

How It Works

The insurer typically looks back over a recent period, often several years, and gathers the claims along with payroll or other exposure data for the account. It then compares actual losses with expected losses, which are derived from the average experience of similar businesses. The result is expressed as a modification factor applied to the manual premium, the standard price before any account-specific adjustment. A factor above 1.00 increases the premium, and a factor below 1.00 reduces it.

Larger accounts usually have more of their own history weighted into the result because they generate more data. Smaller accounts tend to rely more heavily on the class average. This weighting is often described as credibility, and it helps keep a single unusual year from distorting the price too much.

Why It Matters to Investors

Experience rating matters to investors because it links an insurer's pricing to the risk each policyholder actually presents. Pricing that tracks claims more closely can support the loss ratio and overall profitability of an insurer's book of business. Studying how a company applies these adjustments can help explain how it responds to claims trends.

For policyholders, the approach means that good claim records can lead to lower costs over time, which rewards effective loss control efforts. Poor records can lead to higher premiums. Because the rating depends on historical data, it reacts with a delay to changes in risk, and a single large claim can influence pricing for several years. Understanding that lag is useful when reading how insurance costs move over time.