The number of crime incidents in Cleveland 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 1,077 for the week of Sept. 9, down from 1,126 the week before.
The offenses that decreased the most were assault and robbery. Assault fell to 281 incidents last week, from 349 the week before. Robbery declined from 41 assaults to 33. Reports of robbery have continued to fall for the last two weeks.
Among other categories, there was also a decrease in shootings, from nine incidents per week to one, and in vandalism, from 136 to 134 incidents.
Among the few types of offenses that saw an uptick last week, reports of theft went from 297 to 320, and burglary rose from 61 to 78.
There were 230 reports of "other" crimes, a decrease of one 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, 33 involved arrests, such as for drug possession, down from 48 reported arrests the week before.
Considering the concentration of crime across the city, Old Brooklyn, South Broadway and Glenville had the most reported incidents last week. Old Brooklyn was at the top of the list the previous week as well.
Downtown experienced the largest drop in crime. Crime reports in Brooklyn Centre also fell, after increasing the week before, and incidents in Woodland Hills are down considerably as well.
Regarding day and time factors, Monday, Tuesday and Thursday saw the most reported crimes last week. The largest decrease from the previous week occurred on Sunday, Wednesday and Saturday, while incidents on Monday and Tuesday increased. Comparing times of day, early morning, late morning 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.
