Location Intelligence has a blog post talking about how lame zip codes can be for measuring auto-insurance risk. For example, I live in 55406, which is a considerably different zip code if you happen to live along the East of West side of the zip.
“Factors that affect risk can include the street types, the presence of mass transit, the population density, commuter patterns, the adjacent businesses and even the weather. The table below shows the effect of different traffic generators on risk.”
They included this pretty table from ISO Innovative Analytics that shows correlations with other things:
When I look at that table, I realize that anywhere that’s worth living (aka, places within walking distance of the things on the list outside of a racetrack or airport), is going to have higher insurance rates. I guess that’s the cost of convenience.