Police call for vigilance in Canton

Written by on September 19, 2012 in Crime - No comments

Major William Davis of the Southeastern Police District advised citizens that a rash of burglaries Cambridge St. and Essex St. area.
There had been seven burglaries in that area in the last three weeks fitting the pattern, Davis said at the monthly Fells Prospect Community Association meeting last Wednesday.

Five of the seven burglaries were front entry.

“They’re either getting in through a window or forcing the front door; some of them have even been unlocked,” said Davis, commenting that front-entry burglaries are abnormal.

Furthermore, he added, the thief is not striking during the usual late-night to wee-morning-hours timetable.

“This guy is actually hitting us during our 3-11 shift,” said Davis. “It shows he’s brazen enough.”

Electronics, laptops, and personal items like pocketbooks are being taken.

“It’s more get in, get what you can carry out quickly, and get out,” Davis said.

Davis said that police believe the thief is a white male between 25 and 30.

“Be on the lookout for anyone who’s just walking through your neighborhood and looking at houses,” he said, adding that residents should call 911—not 311—to report suspicious activity.

Davis also spoke about larceny from auto, the most common crime in the Southeastern District. He cautioned residents to not leave anything in their vehicles, including chargers—which indicate the presence of more expensive electronics, such as GPS units.

He added that residents should also tell their neighbors to not leave objects in their cars, because it invites larceny from auto.

“It’s like feeding the bears,” he said. “If the neighbors feed the bear, he’s going to come back, and he might eat you next time.”

Davis said that thefts from automobiles are difficult for the police to track and organize because they are categorized with all other larcenies. He added that an effort is currently underway to make larceny from auto “its own crime,” which would make it easier for police to track incidents and recognize patterns.

by Erik Zygmont

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