The information you provided only includes total mileage driven, number of deliveries, and number of accidents for a driver. Based on these, I can't make a direct comparison of this driver's safety to the general population. However, I can use statistical data and some assumptions to estimate the expected number of accidents for a driver who has driven 90,000 miles in the U.S. For questions like this, we need to research, make assumptions, and estimate.
According to the National Highway Traffic Safety Administration (NHTSA), the average number of motor vehicle “police-reported” accidents per 100 million vehicle miles driven in the U.S. was 180.8 in 2020 (207.1 and 207.8 in 2019 and 2018, which are non-COVID years). If we assume that this driver has driven 90,000 miles at the same rate of accidents per 100 million miles driven, we can estimate the expected number of accidents for this driver as follows (for 2019):
Expected number of accidents = (90,000/100,000,000) x 207.1 = 0.1864 accidents
So, based on this estimate, we would expect this driver to have had approximately 0.1864 accidents, or less than one accident, given that this number is an average for all drivers. However, this is just an estimate and does not take into account other factors that may affect this driver's safety, such as their driving habits, the type of car, the condition of their vehicle, and the driving conditions in Concord, New Hampshire. It is important to note that safe driving is a complex issue, and accident rates can vary widely depending on individual circumstances.
Now, looking at only New Hampshire (which has one of the lowest fatality rates per population and per miles travelled), things are a bit different. New Hampshire had 33,592 total crashes reported in 2019. Total vehicle miles driven reported was 1,300,575 million. So, the average number of motor vehicle “police-reported” accidents per 100 million vehicle miles driven in the New Hampshire was 247.5 in 2019. So, the expected number of accidents for this driver considering only NH data, is (for 2019):
Expected number of accidents = (90,000/100,000,000) x 247.1 = 0.2227 accidents
Regarding accident statistics for rideshare companies and delivery vehicles only, specifically DoorDash, UberEats, and GrubHub, data is very limited, so it is hard to estimate an expected number of accidents. But, we can use what’s available. For example, Uber publishes statistics on accidents, annually. In 2022, there were 91 fatal Uber accidents (not just UberEats). This number is very similar for Lyft. In the same year, there were 6.3 billion Uber trips. Assuming average trip distance of 10 miles, total miles driven is 63 billion miles in the U.S. So, the fatal accident rate is 0.14 per 100 million miles driven. Comparing this with fatal accident rates for all vehicles in the U.S. and assuming same ration of fatal to all accidents, the average number of accidents per 100 million vehicle miles driven for Uber was 21.2 in 2022, which is much lower than national average for all vehicles. So, the expected number of accidents for this driver considering only Uber trips accident rates, is (for 2022):
Expected number of accidents = (90,000/100,000,000) x 21.2 = 0.019 accidents
So, overall, there is no definitive answer to how common motor vehicle accidents involving food delivery cars are and how this driver’s record compares with average population, as it can vary based on multiple factors such as driving conditions, traffic, and driver behavior. There are a few studies and reports that provide some insight into this issue and look at it from another view.
One study conducted by insurtech company Zego in the UK found that food delivery drivers were 50% more likely to be involved in accidents compared to other drivers. However, this study did not differentiate between accidents that occurred while on delivery and those that occurred during other types of driving, which is also missing from your question.
Another study conducted by the NHTSA in the U.S. found that there were 5,005 fatal crashes involving large trucks and buses in 2019, which includes delivery trucks for services such as UberEats, DoorDash, and Grubhub. However, it is important to note that not all of these crashes involved food delivery vehicles specifically, and so we would be unable to make any conclusions from it.
In addition to these studies, there have been numerous reports of accidents involving food delivery vehicles, particularly in urban areas where there is a high volume of deliveries and heavy traffic. Urban versus suburban makes a huge difference in average accident per miles driven, because of how these rideshare and food delivery companies work and focus in urban areas.
Based on the information provided, we can say that this driver appears to have a good driving record, having completed a significant number of miles and food deliveries without any accidents or car-related infractions. However, as discussed above, it is important to note that this information alone is not sufficient to determine how safe this driver is compared to the general population. We used national and state-specific statistical data to estimate the expected number of accidents for this driver. Based on our estimates, we would expect this driver to have had less than one accident. However, it is important to note that this estimate is just a rough approximation and does not take into account other factors that may affect this driver's safety, such as their driving habits, the condition of their vehicle, and the driving conditions in Concord, New Hampshire.
Links below show data sources used and some other useful information.
https://cdan.nhtsa.gov/tsftables/National%20Statistics.pdf
https://westcoasttriallawyers.com/california-uber-and-lyft-accident-lawyer/uber-accident-statistics/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9561398/
https://blog.vingapp.com/food-delivery-driver-accidents-how-common-are-they
Kav10
