Policy Impact Analysis - 117/HR/7739

Bill Overview

Title: Affordable Housing and Area Median Income Fairness Act of 2022

Description: This bill reauthorizes through FY2032 the Community Development Block Grant and other specified programs that support affordable housing. The bill also requires the Department of Housing and Urban Development (HUD) to assess alternative methods of calculating area median income (i.e., any metric used to refer to the median income level for a given area or jurisdiction for purposes of any program administered by HUD) and the use of alternative metrics in order to make housing more affordable for low-income families in urban areas.

Sponsors: Rep. Clarke, Yvette D. [D-NY-9]

Target Audience

Population: Individuals in need of affordable housing worldwide

Estimated Size: 50000000

Reasoning

Simulated Interviews

Teacher (New York City, NY)

Age: 32 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I find it hard balancing my income with the high rent in NYC. Any improvement in the affordability of housing will be a huge relief for us.
  • The current area median income calculations make it hard for me to qualify for many programs because they consider a broader suburban region where incomes are higher.

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 4
Year 20 8 3

Factory Worker (Detroit, MI)

Age: 45 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • The housing costs are on par with my monthly expenses, making it difficult as I recently lost my job.
  • I hope this policy can help revise income standards so that my family can qualify for better housing support.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (San Francisco, CA)

Age: 28 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • Despite earning a decent salary, the cost of living in San Francisco is overwhelming.
  • It's hopeful to think that more affordable housing might become available, but I'm skeptical about the pace of change.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Miami, FL)

Age: 65 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 9/20

Statement of Opinion:

  • I've been on the waitlist for housing assistance for years. I'd appreciate any change that could make me eligible faster or provide more affordable options.
  • It's challenging to keep up with rising rents on a fixed income.

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 6 2

Construction Worker (Austin, TX)

Age: 54 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 11/20

Statement of Opinion:

  • If this policy makes it cheaper to stay in a metroplex like Austin with the new calculation adjustments, that would be great.
  • I worry that administrative delays could lessen the effectiveness of these changes.

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 8 5
Year 10 8 5
Year 20 7 4

Nurse (Seattle, WA)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Housing prices have squeezed us on an otherwise moderate income, so it would be great to see assistance geared towards cities like Seattle.
  • We used to qualify for assistance but the median calculations made us ineligible.

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 9 4
Year 20 8 3

Student (Philadelphia, PA)

Age: 22 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 13/20

Statement of Opinion:

  • The increase in affordable housing could mean the difference in being able to rent after graduation.
  • Most of my peers struggle to find decent-looking places to stay on our minimal incomes.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Chicago, IL)

Age: 70 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 12.0 years

Commonness: 11/20

Statement of Opinion:

  • Housing programs have been tough to access in main urban areas, so I hope they achieve what they propose.
  • Many grandmothers like me with fixed incomes will benefit from re-evaluation of the AMI.

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 9 4
Year 20 7 3

Freelance Artist (Houston, TX)

Age: 38 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I struggle with inconsistent income, and anything that can stabilize housing costs here would be helpful.
  • I hope these new programs help artists and freelancers like me who usually don't have steady paychecks.

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 4
Year 10 8 4
Year 20 7 3

Chef (Los Angeles, CA)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 9.0 years

Commonness: 9/20

Statement of Opinion:

  • Living costs in LA are outrageous. If this policy can make living in CA more feasible, it will be a godsend.
  • I worry that the real estate market might adjust in ways that offset these policies if not properly managed.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $10000000000 (Low: $9000000000, High: $11000000000)

Year 2: $10000000000 (Low: $9000000000, High: $11000000000)

Year 3: $10000000000 (Low: $9000000000, High: $11000000000)

Year 5: $10000000000 (Low: $9000000000, High: $11000000000)

Year 10: $10000000000 (Low: $9000000000, High: $11000000000)

Year 100: $10000000000 (Low: $9000000000, High: $11000000000)

Key Considerations