Why U.S. Crime Statistics Are Unreliable And How Real-time Data Can Help Policing Matters podcast

Content provided by Police1.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Police1.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Policing Matters »
Why U.S. crime statistics are unreliable and how real-time data can help

2d ago 38:57

MP3•Episode home

Crime statistics are meant to help police departments identify trends, allocate resources and shape effective public safety strategies. But what if the national crime data we rely on — like FBI Uniform Crime Reporting (UCR) and NIBRS — is incomplete, outdated or misleading?

In this episode of the Policing Matters podcast, host Jim Dudley speaks with Jeff Asher — CIA-trained crime analyst, former New Orleans Police Department data expert and founder of AH Datalytics — about the challenges with traditional crime data collection and the rise of real-time crime monitoring tools. They discuss why the transition to NIBRS has been slow and inconsistent, and how delays in national reporting limit law enforcement’s ability to respond to crime trends.

Asher, who also publishes the Jeffalytics Substack newsletter, has emerged as a national voice on U.S. crime trends. Drawing from his experience in both federal intelligence and local law enforcement, he explains why agencies need faster, more transparent access to crime data — and how tools like the Realtime Crime Index are filling the gap.

Subscribe to Asher’s Jeffalytics newsletter on Substack for weekly insights into crime statistics, data reliability, and what the numbers really mean.

About our sponsor

This episode of the Policing Matters podcast is sponsored by OfficerStore. Learn more about getting the gear you need at prices you can afford by visiting OfficerStore.com.

492 episodes

#Government #Police1.com