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PredPol Atlanta Crime Rate Reduced by 19%

PredPol Atlanta Crime Rate Reduced by 19%

We’re proud to share this story about Atlanta Police Department’s success in reducing their crime rate by 19 percent since 2010, and they attribute its sustained reduction to using PredPol’s predictive policing technology:

Latest News About PredPol Atlanta




History of Atlanta’s Predictive Policing Deployment

During initial testing, aggregate crime decreased by 8% and 9% in the two areas that first deployed PredPol in July 2013. Of the four zones where PredPol was not deployed, crime rates increased by 1 to 8% in three and remained flat in one. Due to these successful results, the Atlanta Police Department decided to implement PredPol citywide in November 2013. Atlanta Police Department has seen aggregate crime drop 19% and attribute much of the sustained reduction to PredPol’s deployment.

What APD’s Command Staff is Saying About PredPol

Atlanta Police Department Chief George Turner (WSB – TV 2 Atlanta, 9/19/13): “It makes us smarter. It puts us on the cutting edge in what’s going on in this country in crime fighting.”

Atlanta Police Chief George Turner (Police Chief Magazine “Technology Talk” column) “We pride ourselves on being a department that is not satisfied with the status quo. We are forward-looking, with a strategic view grounded in innovation. We know the PredPol technology has helped us get smarter on our fight against crime.”

Atlanta Police Department Officer Omari Price (WSB – TV 2 Atlanta, September 19, 2013): “Since its inception, crime has dropped on my beat. Its like the perfect ally. It really is – it feels like a sidekick that’s already looking ahead of you.”

More About PredPol’s Predictive Policing Algorithm

Using advanced mathematics and computer learning, PredPol’s algorithms predict many types of crime, including property crimes, drug incidents, gang activity, and gun violence as well as traffic accidents.

Only three pieces of data are used to make predictions – type of crime, place of crime, and time of crime. No personal data is utilized in making these predictions.

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