Oil, aerospace and manufacturing engineers benefit from cheapest car insurance in engineering industry 

 Engineering professionals in the oil, aerospace and manufacturing sectors are being offered some of the best car insurance quotes on the market, according to new research by Quotezone.co.uk

While the median insurance quote for UK engineering professionals is £823, the average is substantially lower for engineers from the oil industry, £609, aerospace sector, £616 and manufacturing industry, £654.

The research offers less welcome news for engineers working in the rail sector, who are offered median insurance premiums of £1,060.

The cheapest professionals to insure for personal car use are police and community support officers at £499, with driving instructors and examiners taking second place with a median premium of £615.

The findings are based on over 60,000 car insurance quotes across fifteen specific professions in the UK, which Quotezone.co.uk compiled in August 2019. While each of the quotes the company analysed were for personal car insurance policies rather than commercial policies, a driver’s occupation can still have a significant effect on their premium. 

Launched in 2005, Quotezone.co.uk is one of the country’s leading car insurance comparison websites, in addition to helping users find better deals on insurance for vehicles as diverse as campervans, quads, ice cream vans, buses and coaches. It also compares quotes for motorbikes and vans, and in August the firm launched one of the UK’s first insurance comparison services for bicycle users.

Explaining why a driver’s occupation can affect their insurance premium even when they’re taking out a personal car insurance policy, Greg Wilson, founder of Quotezone.co.uk, said: “Insurers use a wide range of variables when they’re calculating premiums, and your occupation is one of them. 

“That’s because your occupation has the potential to say something about your risk appetite and your driving style, in much the same way as your age can do.

“In addition, insurance companies have built up a huge volume of data relating to which occupations are least likely or most likely to make an insurance claim, which can then be used to assess the risk of a new policyholder with a particular occupation making a claim.”


Automation Update