The number of crime incidents in Redwood City 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 55 for the week of February 25, down from 69 the week before.
The overall decrease in crime reports was led by theft and assault. Theft fell to 10 incidents last week, from 19 the week before. Assault went from nine to two. Reports of theft have continued to fall for the last two weeks.
There were six reported burglary incidents last week. That represents a steady state from the previous week. There were also four incidents of vandalism, down from nine the week before.
Among the few types of offenses that saw an uptick last week, reports of robbery went from one to three.
There were 30 reports of "other" crimes, an increase of five 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, 18 involved arrests, such as for drug possession, up from 14 reported arrests the week before.
Looking at crime patterns in different areas of the city, Downtown, Middlefield and Central continued to have the most reported incidents last week.
Central experienced the largest drop in crime. Crime reports in Oakwood also fell, after increasing the week before, and incidents in Middlefield are down considerably, as well.
Regarding when most crimes are committed, Mondays, Thursdays and Fridays saw the most reported crimes last week. The largest decrease from the previous week occurred on Sundays, Wednesdays and Tuesdays, while incidents on Mondays, Thursdays and Saturdays went up. Comparing times of day, late afternoon, midday and after midnight 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.
