Scout's crime analytics are built entirely in-house.
We start by collecting the raw crime data from all 17,000 law enforcement agencies in the United States. We then assign these reported crimes from each of these law enforcement agencies to the specific local communities the agency covers, and hence in which community the crimes have occurred. Once we have this modified set, we build upon it, producing sub-zip code crime hazard data with maps for violent crime, property crime, motor vehicle theft, crime density, and more. We then develop algorithms to statistically estimate the incidences of both violent and property crimes for each neighborhood in America.
The resultant formulae produce numbers of crimes and crime rates for neighborhoods with upwards of 90% accuracy. We use over two-dozen different formulas to increase the accuracy of our estimates - and apply them based on city or town characteristics - to produce the best model fit in each case. This method provides an accurate representation of the complete number and types of crimes that truly occur within any city or town; not just crimes reported by a single municipal agency.