
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 59 for the week of February 18, down from 69 the week before.
The specific offenses that decreased the most were theft and burglary. Theft fell to 15 incidents last week, from 22 the week before. Burglary went from seven to three. Reports of burglary have continued to fall for the last two weeks.

Among the few types of offenses that saw an uptick last week, reports of vandalism went from two to eight. Incidents of assault rose from two to seven.

There were 25 reports of "other" crimes, a decrease of 11 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, 14 involved arrests, such as for drug possession, down from 21 reported arrests the week before.
Looking at crime patterns in different areas of the city, Downtown, Middlefield and Central had the most reported incidents last week. Downtown and Middlefield were at the top of the list the previous week as well.
Middlefield also saw the largest decline; incidents in the neighborhood have been falling for two weeks in a row. Crime reports in Sequoia also fell, after increasing the week before, and incidents in Centennial are down considerably as well.
Regarding when crime most often occurs, Tuesdays, Mondays and Wednesdays continued to produce the most reported crimes last week. The largest decrease from the previous week occurred on Mondays, Thursdays and Fridays, while incidents on Sundays and Wednesdays went up. Comparing times of day, late morning, after midnight and midday 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.









