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Reducing Gang Activity Using Predictive Policing
Reducing Gang Activity Using Predictive Policing

With intelligence led policing, the Oxnard Police Dept. in California is reducing the number of gang shootings in the city.

Located in the Greater Los Angeles area, and with a population of about 207,000 residents, the Oxnard Police Department (PD) continually seeks ways of effectively addressing gang violence.

To combat this problem, the Oxnard PD uses information-driven policing techniques to help address gang activities, especially when there is a connection with violent crime.

In the spring of 2017, Oxnard experienced a rash of gang-related shootings, some of which were fatal. To address the violence, Oxnard PD Assistant Police Chief Jason Benites said that staff worked to identify parts of the city that were most likely to experience this violent crime.

Detectives, officers, and crime analysts worked together using data to identify these locations, so they could increase police presence in areas where the shootings occurred most frequently.

To do this, Benites said staff pulled information regarding the shootings from the department's law enforcement records management and analytic reporting systems. These systems helped determine when and where the shootings occurred, who was involved, and circumstances surrounding the events.

"When you can look at data that says the specific areas where an event has occurred and the specific time it occurred, it helps you to identify patterns," Benites said.

By collecting this data, the department was able to redeploy patrol officers to specific areas during specific times where the shootings occurred most frequently. Almost immediately, this increase in police presence helped reduce the shootings significantly.

"Having the ability to gather data that helps us strategically use our limited resources to their maximum potential helps us keep the community of Oxnard safer," Benites said.



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