CLEAR - Canadian Loss Experience Automobile Rating
What is CLEAR?
There are a number of factors used to determine how much your auto insurance will cost, including, for example, where you live, your driving record and the type of car you drive. To determine what effect the specific type of car you drive will have on your insurance premiums, insurers use the Canadian Loss Experience Automobile Rating (CLEAR) system to assess how likely it is that that type of car will be involved in a claim, and what that claim is likely to cost.
Based on insurance claims data, CLEAR offers an accurate and credible assessment of the expected and actual claims loss experience for each make, model and model-year of car. Simply put, every model of car and light truck for every model-year is grouped according to assessed risk – expected claims frequency and cost, and the likelihood the vehicle will be stolen. The higher the CLEAR number, the higher the risk.
The concept behind the CLEAR system is simple:
Previously, insurers had only the manufacturer’s suggested retail price (MSRP) and some very basic information about vehicle damageability and repairability to assess the type of car when determining premiums. That is, vehicles with similar MSRPs would be classified into the same rate group and result in equivalent insurance premiums. Generally, the greater a vehicle’s MSRP, the higher the premium charged.
The MSRP-based rating system resulted in a number of inequities, because it ignored facts such as:
Why CLEAR is good and fair
CLEAR allows vehicle insurers to predict future claims more accurately and fairly and reward vehicle owners for buying vehicles that experience fewer claims and smaller losses.
Data sources and adjustments
CLEAR uses insurance claims data to accurately and credibly reflect the expected and actual claims experience of each make, model and model-year of vehicle. All rate groups are updated annually to reflect such factors as aging and experiential changes. The methodology is described here.
The data are provided by IBC. After being checked for consistency, the data are normalized (i.e., mathematically adjusted) to eliminate influences that are not directly linked to the vehicles. Information about vehicle characteristics is obtained directly from automobile manufacturers and importers.