Crime incidents in Pittsburgh 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 816 for the week of Jan. 7, down from 937 the week before.
The offenses that decreased the most were vandalism and theft. Vandalism fell to 18 incidents last week, from 35 the week before. Theft went from 138 to 123.
There were 175 reported assault incidents last week. That represents a decrease from 186 incidents the previous week. There were also 14 incidents of burglary, down from 27 the week before.
Among the few types of offenses that saw an uptick last week, reports of robbery went from nine to 12, and arson rose from one to two.
There were 67 reports of "other" crimes, a decrease of 50 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 402 arrests were made last week, down from 421 arrests the week before.
As far as where crime is concentrated in the city, Southside Flats, Shadyside and Central Business District had the most reported incidents last week. Southside Flats and Central Business District were at the top of the list the previous week as well.
Knoxville saw the largest decline. Crime reports in East Allegheny also fell, after increasing the week before, and incidents in Carrick are down considerably as well.
Regarding when crime most often occurs, Fridays, Thursdays and Saturdays saw the most crime incidents last week. The largest decrease from the previous week occurred on Saturdays, Tuesdays and Mondays, while incidents on Fridays and Sundays went up. Late afternoon, after midnight and evening continue to see the most crime incidents.
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.
