Policy Impact Analysis - 117/HR/7516

Bill Overview

Title: Get the Lead Out of Assisted Housing Act of 2022

Description: This bill addresses the removal of lead from drinking water in federally assisted housing. Specifically, the bill requires the Department of Housing and Urban Development (HUD) to require specified testing and remediation with respect to water service lines containing lead; authorizes HUD to inspect all sources of lead contamination in federally assisted housing and to mitigate sources of lead exposure; establishes a grant program for states and local governments to create inventories of water service lines containing lead and to test for lead in the drinking water at child care facilities, schools, and public water fountains; and allows recipients of certain HUD assistance to use such assistance to replace water fixtures and service lines containing lead.

Sponsors: Rep. Kildee, Daniel T. [D-MI-5]

Target Audience

Population: Individuals residing in or utilizing federally assisted housing

Estimated Size: 12000000

Reasoning

Simulated Interviews

Single Mother (Detroit, MI)

Age: 35 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • It's hard worrying about my kids' health with lead lurking around. This policy sounds like a huge relief if it actually reaches us.
  • I hope they get started soon—my kids deserve better than this.

Wellbeing Over Time (With vs Without Policy)

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

Caregiver (Chicago, IL)

Age: 28 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Even if I make sure our facility is lead-free, what about the other places children spend their time? Policies like this are essential for full coverage.
  • Seeing it actually put into action is what counts.

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 7 5
Year 10 7 5
Year 20 6 5

Public School Teacher (Los Angeles, CA)

Age: 42 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm more confident sending my students home if this bill gets things moving. Lead poisoning is a silent crisis.
  • It's smart not to just leave it to individual homes—targeting schools as well is key.

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 7 5
Year 10 7 5
Year 20 6 5

Retired (Pittsburgh, PA)

Age: 65 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • I remember hearing about lead issues for decades. It's surprising we're still dealing with it.
  • If this policy makes real waves, it could help a lot of elder folks like me rest easier.

Wellbeing Over Time (With vs Without Policy)

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

University Student (New York City, NY)

Age: 23 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I didn't know much about lead issues until moving here.
  • It's comforting to know the local areas might soon be safer for all kids and families.

Wellbeing Over Time (With vs Without Policy)

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

Community Health Advocate (Philadelphia, PA)

Age: 54 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • These steps should have been a no-brainer ages ago, but better late than never.
  • I see the damage lead has done firsthand—I’ll be glad to report real improvements happening.

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 8 7
Year 10 8 7
Year 20 7 7

Plumber (Houston, TX)

Age: 30 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • This policy means job opportunities for folks like me, but it's about more than just work—it's about real community benefits.
  • Getting ahead with safer homes can be transformational.

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 5
Year 10 8 5
Year 20 7 5

Social Worker (Baltimore, MD)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • The long-term effects of lead on kids are devastating, so I'm for any measure that tackles those head-on.
  • The success of this policy isn't just in tests but in timeliness and thoroughness.

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 8 6
Year 10 8 6
Year 20 7 6

Retired Military (Columbus, OH)

Age: 70 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Lead isn't something I worried about much before, but it's good seeing active steps taken.
  • Keeping community health strong is something that everyone benefits from.

Wellbeing Over Time (With vs Without Policy)

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

Elementary School Principal (St. Louis, MO)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Knowing my school can offer a lead-free promise lifts a weight off my mind.
  • A policy like this underlines community commitment to our youngest members.

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 6 5
Year 10 6 5
Year 20 5 5

Cost Estimates

Year 1: $750000000 (Low: $600000000, High: $850000000)

Year 2: $750000000 (Low: $600000000, High: $850000000)

Year 3: $750000000 (Low: $600000000, High: $850000000)

Year 5: $850000000 (Low: $700000000, High: $1000000000)

Year 10: $900000000 (Low: $750000000, High: $1050000000)

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

Key Considerations