The number of crime incidents in Milwaukee last week remained roughly even with the week before, according to data from SpotCrime, which collects data from police agencies and validated sources.
The specific offenses that increased the most were assault and theft. Assaults rose to 817 incidents last week, from 774 the week before. Theft went from 409 to 428. Reports of theft have continued to grow for the last four weeks.
While somewhat smaller categories, there was also a sizable percentage increase in robbery, from 48 incidents per week to 65, and in burglary, from 208 to 210 incidents.
Among the few types of offenses that saw a downturn last week, shootings went from 357 to 295, and vandalism fell from 206 to 165.
There were 2,176 reports of "other" crimes, an increase of 46 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, 100 involved arrests, such as for drug possession, down from 109 reported arrests the week before.
Looking at crime patterns in different areas of the city, Old North Milwaukee, Harambee and Franklin Heights had the most reported incidents last week. Old North Milwaukee was at the top of the list the previous week as well.
Harambee experienced the highest growth in crime. Crime reports in Franklin Heights also rose for a second week, and incidents in Kilbourn Town are up considerably.
Regarding day and time factors, Wednesday, Friday and Saturday saw the most crime incidents last week. The largest increase from the previous week occurred on Wednesday, Friday and Tuesday, while incidents on Thursday, Monday and Sunday went down. Comparing times of day, after midnight, late night and late afternoon saw the most crime last week.
Want a longer-term view of crime in Milwaukee? Here's our latest monthly crime report.
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.