Policy Impact Analysis - 117/HR/7123

Bill Overview

Title: Studying Barriers to Homelessness Act

Description: This bill requires the Government Accountability Office to conduct a study to identify any barriers to the use of public housing to provide assistance for the homeless.

Sponsors: Rep. Garcia, Sylvia R. [D-TX-29]

Target Audience

Population: People experiencing homelessness worldwide

Estimated Size: 580000

Reasoning

Simulated Interviews

Unemployed (San Francisco, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I hope this study means changes will happen to make housing more accessible for people like me.
  • I've been waiting for a solution for years, and a study just sounds like more waiting.

Wellbeing Over Time (With vs Without Policy)

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

Community Worker (Austin, TX)

Age: 30 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I am optimistic that the study will identify crucial gaps in our systems.
  • This could lead to much needed reforms and better life quality for our clients.

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 8 6
Year 20 8 6

Retired (New York, NY)

Age: 60 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • I'm wary of studies being a band-aid instead of real solutions.
  • Hopefully, this leads to cheaper housing options.

Wellbeing Over Time (With vs Without Policy)

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

Public Housing Officer (Detroit, MI)

Age: 27 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • The results can definitely inform how we distribute our resources.
  • It's crucial that this study brings actionable insights.

Wellbeing Over Time (With vs Without Policy)

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

Homemaker (Los Angeles, CA)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • If this study helps us find long-term housing, it will be worth it.
  • It's difficult to trust change will happen soon.

Wellbeing Over Time (With vs Without Policy)

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

Policy Analyst (Chicago, IL)

Age: 40 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • The study is a stepping stone for bigger policy changes.
  • It's an essential step to address homelessness systematically.

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 9 8
Year 10 9 8
Year 20 9 8

Student (Seattle, WA)

Age: 23 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Academic studies can shed light on systemic issues around homelessness.
  • I hope it leads to real change.

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 8 6
Year 20 8 6

Public Housing Resident (Philadelphia, PA)

Age: 55 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope the study shows why eviction rates are so high.
  • Better policies could protect residents like me.

Wellbeing Over Time (With vs Without Policy)

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

Entrepreneur (Miami, FL)

Age: 35 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • Data from this study could be pivotal for structuring our projects.
  • It's great to see a focus on evidence-based policy.

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 9 8
Year 10 9 8
Year 20 9 8

Retired Teacher (Phoenix, AZ)

Age: 62 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • I worry that studies don't lead to quick enough changes.
  • But I'm hopeful about long-term results.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000 (Low: $4000000, High: $6000000)

Year 2: $5000000 (Low: $4000000, High: $6000000)

Year 3: $5000000 (Low: $4000000, High: $6000000)

Year 5: $0 (Low: $0, High: $0)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations