Policy Impact Analysis - 117/S/3981

Bill Overview

Title: Improving Law Enforcement Officer Safety and Wellness Through Data Act

Description: This bill requires the Department of Justice to report on (1) targeted attacks on law enforcement officers, (2) the feasibility of incorporating such attacks into existing crime reporting systems, and (3) the mental health resources that are available to law enforcement officers.

Sponsors: Sen. Grassley, Chuck [R-IA]

Target Audience

Population: Law Enforcement Officers

Estimated Size: 800000

Reasoning

Simulated Interviews

Police Sergeant (Chicago, Illinois)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy is a step in the right direction, especially considering recent increases in targeted attacks.
  • Mental health resources are critical, and more officers should be encouraged to use them.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 5
Year 10 9 5
Year 20 8 4

Detective (Austin, Texas)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • The added focus on mental health is reassuring.
  • We need more than just reports; actionable plans are necessary.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 9 6
Year 10 8 6
Year 20 7 5

NYPD Officer (New York City, New York)

Age: 42 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 7/20

Statement of Opinion:

  • Reporting is good, but the real need is for better preventive measures against attacks.
  • Mental health initiatives should be mandatory, not just available.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 4
Year 10 8 3
Year 20 7 2

Sheriff's Deputy (Los Angeles, California)

Age: 50 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • I'm near the end of my career, so the policy's effects are less relevant to me personally, but important for younger officers.
  • It's good to see mental health finally being prioritized.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 7
Year 3 8 6
Year 5 7 5
Year 10 7 4
Year 20 6 3

Police Officer (Miami, Florida)

Age: 30 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • Training needs to include how to handle stress and trauma from being targeted.
  • Support needs to be constant, not just reactive.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 5
Year 5 8 4
Year 10 9 3
Year 20 8 2

Rookie Officer (Phoenix, Arizona)

Age: 25 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 12/20

Statement of Opinion:

  • I'm optimistic about the resources becoming available thanks to this policy.
  • There needs to be ongoing assessments to maintain effectiveness.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 5
Year 10 8 4
Year 20 7 3

Sheriff (Rural Iowa)

Age: 47 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • For smaller communities, the issue is less about attacks and more about resource allocation.
  • Uniform standards across regions would help smaller departments.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 6
Year 3 7 5
Year 5 7 4
Year 10 6 3
Year 20 5 2

Police Officer (Portland, Oregon)

Age: 39 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 11/20

Statement of Opinion:

  • The policy might help in reducing the stigma around officers seeking mental health support.
  • Immediate threat levels need to be addressed along with wellness measures.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 4
Year 2 7 4
Year 3 8 4
Year 5 9 3
Year 10 9 2
Year 20 8 1

Traffic Officer (Salt Lake City, Utah)

Age: 45 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • While I'm not usually targeted, the focus on mental health is welcome for overall officer wellness.
  • The push for better data collection might make us feel heard by policymakers.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 6 5
Year 3 7 5
Year 5 7 4
Year 10 7 3
Year 20 6 2

Swat Team Member (Atlanta, Georgia)

Age: 33 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • High stress comes with the job, so mental health support is crucial.
  • Efficient data might help us prepare better for threats.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 5
Year 3 8 5
Year 5 8 4
Year 10 9 3
Year 20 8 2

Cost Estimates

Year 1: $1500000 (Low: $1000000, High: $2000000)

Year 2: $1500000 (Low: $1000000, High: $2000000)

Year 3: $1500000 (Low: $1000000, High: $2000000)

Year 5: $1500000 (Low: $1000000, High: $2000000)

Year 10: $1500000 (Low: $1000000, High: $2000000)

Year 100: $1500000 (Low: $1000000, High: $2000000)

Key Considerations