Crime incidents in Baltimore saw an overall decrease last week, after a previous rise, according to data from SpotCrime, which collects data from police agencies and validated sources. Incidents fell to 6,048 for the week of Jan. 21, down from 6,743 the week before.
The specific offenses that decreased the most were theft and assault. Theft fell to 660 incidents last week, from 790 the week before. Assault went from 792 to 684.
There were 98 reported shooting incidents last week. That represents a decrease from 130 incidents the previous week. There were also 120 incidents of robbery, down from 132 the week before.
Among the few types of offenses that saw an uptick last week, reports of burglary went from 288 to 324, and vandalism rose from 174 to 187.
There were 3,975 reports of "other" crimes, a decrease of 462 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, 929 involved arrests, such as for drug possession, down from 1,187 reported arrests the week before.
Looking at crime patterns in different areas of the city, downtown, Brooklyn, and Frankford had the most reported incidents last week. Downtown and Brooklyn were at the top of the list the previous week as well.
Downtown saw the largest decline. Crime reports in Sandtown-Winchester also fell, after increasing the week before, and incidents in Carrollton Ridge are down considerably as well.
Regarding when most crimes are committed,, Fridays, Wednesdays and Thursdays witnessed the most crime incidents last week. The largest decrease from the previous week occurred on Sundays, Saturdays and Tuesdays, while incidents on Mondays went up. Late afternoon, late morning 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.
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.