Virginia Beach crime dropping: Which offenses are leading the trend?

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The number of crime incidents in Virginia Beach saw an overall decrease last week, after a previous rise, according to data from SpotCrime, which collects reports from police agencies and validated sources. Incidents fell to 615 for the week of Oct. 14, down from 736 the week before.

The specific offenses that decreased the most were assault and vandalism. Assault fell to 85 incidents last week, from 112 the week before. Vandalism went from 21 to eight.

There was also a decrease in burglary, from 39 incidents per week to 28.

There were 186 reported theft incidents last week. That represents a steady state from the previous week.

Among the few types of offenses that saw an uptick last week, reports of arson went from zero to one, and robbery rose from seven to eight.

There were 299 reports of "other" crimes, a decrease of 72 from the previous week. SpotCrime's broad "other" category includes a variety of offenses like fraud, trespassing, public disturbance and traffic violations. Of those incidents, 68 involved arrests, such as for drug possession, down from 83 reported arrests the week before.

Considering the concentration of crime across the city, Kempsville, Princess Anne and Seatack continued to have the most reported incidents last week.

Kempsville saw the largest decline. Crime reports in Mears Corner also fell, after increasing the week before, and incidents in Seatack are down considerably as well.

Regarding when crime most often occurs, Monday, Tuesday and Thursday had the most crime incidents last week. The largest decrease from the previous week occurred on Sunday, Friday and Saturday, while incidents on Tuesday and Thursday went up. Comparing times of day, early afternoon, late afternoon and evening saw the most crime last week.

To report a crime in progress or life-threatening emergency, call 911. To report a non-urgent crime or complaint, contact your local police department.

Head to SpotCrime to get free local crime alerts in your area.

This story was created automatically using local crime data, then reviewed by an editor. Click here for more about our data sources and local crime methodology. Got thoughts about what we're doing? Go here to share your feedback.