Policy Impact Analysis - 117/HR/7046

Bill Overview

Title: To require the Administrator of the Federal Emergency Management Agency to submit to Congress reports describing the average amount of individual assistance and individual and household assistance provided to certain individuals and households and the rate of denial of such assistance, and for other purposes.

Description: This bill requires the Federal Emergency Management Agency (FEMA) to submit to Congress reports describing the average amount of disaster assistance provided to individuals and households and the rate of denial of such assistance. Further, FEMA must explain any factors causing an increase in the rate of denial.

Sponsors: Rep. Rice, Tom [R-SC-7]

Target Audience

Population: Individuals and households affected by natural disasters seeking FEMA assistance

Estimated Size: 5000000

Reasoning

Simulated Interviews

Teacher (New Orleans, Louisiana)

Age: 34 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • The transparency is much needed. Often we are left in the dark about why aid doesn't come through.
  • I hope this pushes FEMA to be more sympathetic and understandable about their process.

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 6
Year 10 8 6
Year 20 8 6

Fisherman (Key West, Florida)

Age: 45 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I feel like the system is against people like me.
  • If they can explain the denials properly, we could at least try to fix our applications.

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

Retired (Paradise, California)

Age: 58 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • Getting any assistance is difficult, and I hope this bill means more people get full help.
  • It might not change much for me, but future applicants could benefit a lot.

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 5 4
Year 10 5 4
Year 20 5 4

IT Support (Oklahoma City, Oklahoma)

Age: 25 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 7/20

Statement of Opinion:

  • I've never thought of applying, but knowing more about what happens could influence me to apply next time.
  • Policies that increase clarity are generally beneficial for everyone.

Wellbeing Over Time (With vs Without Policy)

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

Nurse (Houston, Texas)

Age: 40 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 8/20

Statement of Opinion:

  • Understanding denial rates doesn't affect me directly, but I care about the overall community impact.
  • Protocols from FEMA can be really opaque.

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

Non-profit Worker (San Juan, Puerto Rico)

Age: 36 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 6.0 years

Commonness: 5/20

Statement of Opinion:

  • In my experience, clarity and transparency can drastically improve people's trust in assistance systems.
  • Hopefully, with better reporting, they can reduce administrative hell.

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 8 6

Retired Engineer (Fargo, North Dakota)

Age: 63 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 3/20

Statement of Opinion:

  • Sometimes people get their applications rejected for what seems to be random reasons.
  • United processes would benefit all, though I am not needing assistance now.

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

Small Business Owner (Miami, Florida)

Age: 30 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 4/20

Statement of Opinion:

  • It's hard to know why we're denied when we clearly need help.
  • With more clarity, at least we can fix mistakes or understand better.

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 6 5

Freelance Photographer (New York, New York)

Age: 28 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 15/20

Statement of Opinion:

  • I think it's more applicable to those directly affected, but knowing how aid works is universal knowledge.
  • The more transparent systems are, the better for everyone.

Wellbeing Over Time (With vs Without Policy)

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

City Planner (Denver, Colorado)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Policy improvements in administration can aid long-term resilience and better preparation.
  • Though primarily administrative, it's a step forward in disaster recovery policies.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $1000000 (Low: $750000, High: $1250000)

Year 2: $1000000 (Low: $750000, High: $1250000)

Year 3: $1000000 (Low: $750000, High: $1250000)

Year 5: $1000000 (Low: $750000, High: $1250000)

Year 10: $1000000 (Low: $750000, High: $1250000)

Year 100: $1000000 (Low: $750000, High: $1250000)

Key Considerations