Many auto insurance carriers will provide a reduced rate or discount for vehicles that are classified as ‘Farm Use’. A typical auto underwriting definition for Farm Use is:
“A vehicle may be classified as farm use if it is principally garaged on a farm or ranch,
is used in farming/ranching activities and is not used for commute or pleasure use.”
The idea behind the reduced rate is that the perceived likelihood of theft, damage, or collision with another vehicle is minimized if the vehicle is kept strictly on the farm. These discounts can be upwards of 15-20% in many cases and would yield substantial premium discounts when applied. Though the rationale behind these discounts is sound, the application is flawed in that many vehicles are misclassified as ‘Farm Use’ and are getting discounted rates when the risk is really not reduced.
Although there is no automatic way to identify vehicles that are falsely classified as farm use, there are certain likelihood indicators or ‘flags’ that might warrant re-underwriting a policy. A recent study by Quality Planning (QPC) of 80,000 vehicles that were receiving the ‘Farm Use’ discount showed that 8% were residing in zip codes that had less than 1 percent agricultural usage according to the 2000 Census Survey. It may be worthwhile for a carrier to follow up its farm use policyholder and verify that the vehicle(s) in question is actually garaged on a farm or ranch. QPC has seen ‘luxury’ cars that were classified as farm use vehicles: Mercedes, Porsche, BMW, Jaguar – what is the likelihood that these vehicles are really being used for farming activities? Some carriers capture the occupation of the drivers on their policies – what is the likelihood that a vehicle is really used on a farm if the drivers’ occupation is ‘Programmer’ or ‘Accountant’? In both cases – not very likely.
These likelihood indicators are not just theoretical; QPC has significant experience in actual application – auditing and verifying policy information, including Farm Use. In a recent study of a carrier for which QPC provided Precision Re-Underwriting™ services, vehicles that were flagged for invalid farm indicators had a 35% rate of reverting to a non-Farm Use classification when contacted. This led to significant premium uplift (15-20%) in these cases, more accurately reflecting the risk taken on by the carrier.
by Michael Begonia
etitors who play “hard ball.”
ed working for Quality Planning, I was the sole admin for an office of 60 people. After so many orders placed to our local big-box store, orders which consisted mainly of paper plates and bowls and plastic ware, it had slowly dawned on me that there was a huge disconnect from my earth-friendly habits at home and our office habits. And so began the process of greening QPC.
shown that alarming numbers of employees will readily submit their account information on unknown “research” websites for a free pen or candy.
due to the increased risk that the segment brings. Risk factors for business use are typically 20 – 40% greater than the risk factors for pleasure or commute classifications. Misrating a business use vehicle results in the company incurring all of the loss associated with the vehicle without receiving the full premium necessary to cover these losses. This leakage of premium will erode the profit from the rate being charged and possibly exceed the total premium collected.
update one’s mailing address anymore, so not even that incentive remains. But as my former college buddies moved off to big cities, without an updated garaging address they weren’t paying the correct amount for the added risk of keeping their cars in a city. And any claims they filed would still be counted towards the old territory still listed on their policy. This bad data has the potential to affect future rates, which can confound an insurance carrier whose goal is set up its rates as accurately as possible.
There is no question that the advent of usage based insurance is catching on quickly and will likely be a popular product option going forward. Usage based models are taking on many forms: Pay As You Drive (PAYD), self-reported mileage, verified annual miles, telematics-based driving behaviors. Bottom line, carriers are again incorporating mileage as a key pricing factor by matching premiums to exposure.
just 20-something kids who can’t find work, they are also married couples with children who may have lost their job(s) and can no longer afford to live on their own.
he research we do in relation to insurance, driving patterns and behavior, and premium leakage. At QPC we regularly review large amounts of private passenger auto data which is then used to create models, make predictions, improve rating error detection, and much, much more. Additionally, QPC employs many smart people with different areas of expertise who are anxious to share their business insights with you. So, you can also expect posts and commentary on more general business practices on subjects ranging from customer service to IT best practices.