Policy Impact Analysis - 117/S/4737

Bill Overview

Title: Housing Market Transparency Act

Description: This bill requires the Department of Housing and Urban Development (HUD) to collect and report certain information about buildings that receive low-income housing tax credits, including relevant development costs, ownership information, habitability standards, and related data. State agencies that administer the credit must also report such information to HUD.

Sponsors: Sen. Warnock, Raphael G. [D-GA]

Target Audience

Population: People living in low-income housing, developers and owners of such properties, and agencies managing housing programs

Estimated Size: 15000000

Reasoning

Simulated Interviews

Restaurant Worker (Chicago, IL)

Age: 32 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I hope this policy will mean better living conditions and more accountability from landlords.
  • If transparency can drive improvements, that would be very beneficial for my family.

Wellbeing Over Time (With vs Without Policy)

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

Real Estate Developer (Los Angeles, CA)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • The additional reporting might be cumbersome initially, but it can streamline future processes.
  • Transparency could increase trust, allowing for better investment in the sector.

Wellbeing Over Time (With vs Without Policy)

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

Housing Advocate (New York, NY)

Age: 28 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Increased transparency is crucial for accountability and tenant rights.
  • This policy helps shine a light on where improvements can be made.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Detroit, MI)

Age: 60 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • I want to see improvements in how buildings are maintained and operated.
  • Transparency should help, but I'm skeptical of actual change.

Wellbeing Over Time (With vs Without Policy)

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

State Housing Official (Dallas, TX)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy will require more resources for reporting, but it could improve program management.
  • There's potential for better decision-making with clearer data.

Wellbeing Over Time (With vs Without Policy)

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

Recent Graduate (Miami, FL)

Age: 24 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • I would like to see my landlord held accountable through transparency.
  • This could help new renters like me know more about where they live.

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 6 5
Year 10 7 5
Year 20 7 5

Property Owner (Atlanta, GA)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Increased transparency might help, but the cost of implementing these changes could be high.
  • It could potentially drive owners out of business if not balanced.

Wellbeing Over Time (With vs Without Policy)

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

Urban Planner (Seattle, WA)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 3/20

Statement of Opinion:

  • More data can lead to better housing plans and policies.
  • This could indirectly benefit many people through better housing strategy.

Wellbeing Over Time (With vs Without Policy)

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

Volunteer (Houston, TX)

Age: 66 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Better data can guide charity efforts more effectively.
  • I hope it leads to better housing conditions for the vulnerable.

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 7 5
Year 20 8 5

Software Developer (San Francisco, CA)

Age: 35 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 2/20

Statement of Opinion:

  • Policies that improve data transparency can lead to tech solutions improving urban living.
  • This is a good step towards using data-driven insights for societal improvement.

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 7

Cost Estimates

Year 1: $80000000 (Low: $50000000, High: $100000000)

Year 2: $78000000 (Low: $40000000, High: $110000000)

Year 3: $76000000 (Low: $35000000, High: $100000000)

Year 5: $74000000 (Low: $30000000, High: $90000000)

Year 10: $70000000 (Low: $20000000, High: $80000000)

Year 100: $50000000 (Low: $10000000, High: $70000000)

Key Considerations