Crime incidents in Mountain View saw an overall increase last week, for the second week in a row, according to data from SpotCrime, which collects data from police agencies and validated sources. Incidents rose to 106 for the week of January 14, up from 88 the week before.

The offenses that increased the most were theft and assault. Theft rose to 42 incidents last week, from 30 the week before. Assault went from three to five. Reports of theft have continued to grow for the last three weeks.

While somewhat smaller categories, there was also a notable percentage increase in vandalism, from two incidents per week to three, and in burglary, from 17 to 19 incidents.

There was one reported robbery last week. That represents a steady state from the previous week.

There were 36 reports of "other" crimes, an increase of one 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, 10 involved arrests, such as for drug possession, up from seven reported arrests the week before.

Considering the concentration of crime across the city, Downtown Mountain View, Moffett/Whisman Road, and Shoreline West continued to have the most reported incidents last week.

Downtown Mountain View experienced the highest growth in crime. Crime reports in Wagon Wheel also rose, after declining the week before, and incidents in Slater are up considerably as well.

Regarding when crime most often occurs, Tuesdays, Thursdays and Saturdays produced the most reported crimes last week. The largest increase from the previous week occurred on Thursdays, Tuesdays and Saturdays, while incidents on Mondays, Wednesdays and went down. Early morning, early afternoon and late morning 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.