The map above shows where people in the US get the most speeding tickets relative to population density. Here is a little bit more about the data:
What are some of the worst spots?
One of the worst spots is on highway 412, just west of Silom Springs where 68% of their budget is based on tickets
Where did the data come from?
I matched up FIP data to get the county, state and city. Remember, all counties and cities publish their budget including income. The format took me a while to map out but they did provide a key to the data. It would be something like 01000022608519T 3132432021R First two characters is FIPS state code, one character level of estimate code, 3 character for item code, amount 5-7…. Population density came from my purchased zip code database and some others that list out city data with population. Not too difficult if you are use to working with such data
What do you think? Is this accurate based on your experience?
![Building The World Country By Country In Order of Population Density [Lowest to Highest]](https://brilliantmaps.com/wp-content/uploads/build-up-world-300x200.gif)
Y.D. Robinson says
Seems to me that Northeast Ohio scores especially high because the tiny village of Linndale has a substantially slower speed limit than surrounding jurisdictions on the West Side of the Cleveland area and is notorious for handing out tickets for motorists passing through.
Chris says
There is a single spot in Lindale where the highway goes through and it’s been an infamous speed trap for decades.
slowpoke says
Speed trap? Are people speeding? If so what exactly is the trap?
It seems to me that the best way to avoid a speeding ticket is not to speed. What am I missing?
brandon says
A speed trap is when the posted speed limit drops suddenly, say from 65 to 35, for a short stretch of the road.