Policy Impact Analysis - 117/HR/6448

Bill Overview

Title: Invest to Protect Act of 2022

Description: This bill directs the Office of Community Oriented Policing Services within the Department of Justice to award grants to local and tribal governments that employ fewer than 125 law enforcement officers. Grant funds may be used for various activities, including to provide de-escalation training and improve recruitment and retention.

Sponsors: Rep. Gottheimer, Josh [D-NJ-5]

Target Audience

Population: People living in small communities served by local or tribal law enforcement agencies with fewer than 200 officers

Estimated Size: 30000000

Reasoning

Simulated Interviews

Rancher (Montrose, Colorado)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Current police force is stretched thin.
  • Body cameras and training could improve transparency and trust.

Wellbeing Over Time (With vs Without Policy)

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

Elementary school teacher (Alpena, Michigan)

Age: 30 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • More training for officers will ensure better responses during emergencies.
  • Improved recruitment may bring in more diverse officers.

Wellbeing Over Time (With vs Without Policy)

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

Local business owner (Kodiak, Alaska)

Age: 52 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Investments in policing help to protect small businesses.
  • Support for officers will help retain them longer in the community.

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 6
Year 10 8 6
Year 20 8 6

Volunteer firefighter (Caribou, Maine)

Age: 38 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • De-escalation training is vital for reducing violence.
  • Better coordination with police will improve emergency responses.

Wellbeing Over Time (With vs Without Policy)

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

College student (Willits, California)

Age: 25 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • Body cameras increase accountability among officers.
  • Better-trained officers can improve community interactions.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Spartanburg, South Carolina)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 6/20

Statement of Opinion:

  • Funds could be better spent on community programs, but agree training is necessary.
  • The policy might improve response times and officer quality.

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 5
Year 10 8 5
Year 20 8 5

Community health worker (Gallup, New Mexico)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • More resources can reduce burnout among officers.
  • Improved policing can lead to better health outcomes in the community.

Wellbeing Over Time (With vs Without Policy)

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

Software developer (Cassville, Missouri)

Age: 29 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Tech upgrades for police are overdue and beneficial.
  • Policy supports maintaining community as a safe place to live and work.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 8 8
Year 20 8 8

Barista (Houghton, Michigan)

Age: 34 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Increased police presence makes me feel safer at night.
  • Policy can help with ensuring safe routes home.

Wellbeing Over Time (With vs Without Policy)

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

Part-time security guard (Ajo, Arizona)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 2/20

Statement of Opinion:

  • Grants could help recruit more officers.
  • Training will help in responding to incidents more effectively.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $40000000, High: $60000000)

Year 2: $50000000 (Low: $40000000, High: $60000000)

Year 3: $50000000 (Low: $40000000, High: $60000000)

Year 5: $50000000 (Low: $40000000, High: $60000000)

Year 10: $50000000 (Low: $40000000, High: $60000000)

Year 100: $50000000 (Low: $40000000, High: $60000000)

Key Considerations