Crash Statistics
The Storefront Safety Council —launched in 2012—is comprised of volunteers from a variety of backgrounds who are passionate about ending vehicle-into-building crashes. The Council has been collecting data for over 8 years. We believe that this is the most complete collection of such data available, and has been adding this data to that which was collected in cooperation with the Texas Traffic Institute at Texas A&M University starting in 2012. The total of documented crashes is now well over 17,500 and more and more trends seem to be developing and becoming more clear.
The 2013-2020 storefront crash statistics are the most complete ever assembled for accidents of this type. Federal and State agencies do not gather statistics on accidents that occur on private property (such as shopping centers, strip malls, and roadside locations) so this information will be very useful to researchers, underwriters, risk managers, and safety professionals.
The Storefront Safety Council has collected data on:
A note about accident numbers: The research turns up crashes (limited to commercial or public buildings, transit stops, public areas, and other non-residential structures) using anecdotal and media reports, court records, fire department run records, and published studies. These are then analyzed for details such as cause, age of driver, type of building and other information, and are then added into the database.
The Storefront Safety Council has collected data on:
- stated causes of storefront and similar crashes
- ages of drivers of vehicle involved in storefront and similar crashes
- category of buildings and businesses struck
- vehicle-into-building crash by percentage rate for each state, ranked against each state's percentage of licensed drivers in the US.
A note about accident numbers: The research turns up crashes (limited to commercial or public buildings, transit stops, public areas, and other non-residential structures) using anecdotal and media reports, court records, fire department run records, and published studies. These are then analyzed for details such as cause, age of driver, type of building and other information, and are then added into the database.
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