Crime incidents in Baltimore saw an overall decrease last week, for the second week in a row, according to data from SpotCrime, which collects data from police agencies and validated sources. Incidents fell to 3,354 for the week of Jan. 7, down from 3,416 the week before.
The overall decrease in crime incidents was led by shootings and thefts. Shootings fell to 81 incidents last week, from 161 the week before. The number of thefts went from 429 to 359. Reports of theft have continued to fall for the last three weeks.
There were 452 reported assault incidents last week. That represents a decrease from 513 incidents the previous week. There were also 72 incidents of robbery, down from 74 the week before.
Among the few types of offenses that saw an uptick last week, reports of burglary went from 183 to 194.
There were 1,685 reports of "other" crimes, an increase of 98 from the previous week. SpotCrime's broad "other" category includes a variety of offenses like fraud, trespassing, public disturbance and traffic violations. SpotCrime data also indicates that 414 arrests were made last week, up from 352 arrests the week before.
As far as where crime is concentrated in the city, Downtown, Belair-Edison and Sandtown-Winchester had the most reported incidents last week. Downtown and Sandtown-Winchester were at the top of the list the previous week as well.
Crime in Brooklyn decreased the most. Crime reports in Pigtown also fell, after increasing the week before, and incidents in Greektown are down considerably as well.
Regarding when crime most often occurs, Wednesdays, Tuesdays and Thursdays produced the most crime incidents last week. The largest decrease from the previous week occurred on Sundays, Mondays and Saturdays, while incidents on Wednesdays, Thursdays and Fridays went up. Late morning, late afternoon and early afternoon 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.
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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.