Policy Impact Analysis - 117/HR/8733

Bill Overview

Title: To require the Secretary of the Army to include communities affected by major disasters in the definition of an economically disadvantaged community, and for other purposes.

Description: This bill requires the Department of the Army to include communities affected by major disasters in the definition of an economically disadvantaged community .

Sponsors: Rep. Higgins, Clay [R-LA-3]

Target Audience

Population: People in communities affected by major disasters worldwide

Estimated Size: 10000000

Reasoning

Simulated Interviews

Cafe Owner (New Orleans, LA)

Age: 42 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy could significantly help lower my business recovery costs.
  • I'm hopeful for additional support that could prevent layoffs.

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 4
Year 10 6 4
Year 20 5 3

Retired Firefighter (Paradise, CA)

Age: 55 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • The recognition could improve access to rebuilding grants.
  • Direct monetary assistance could stabilize our short-term living situation.

Wellbeing Over Time (With vs Without Policy)

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

Teacher (Miami, FL)

Age: 30 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • Educational resources can improve with enhanced assistance.
  • Long-term benefits can stabilize community services.

Wellbeing Over Time (With vs Without Policy)

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

Nurse (Houston, TX)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Any improvement in hospital infrastructure would aid our service delivery.
  • Policy effects might take time but necessary for future resilience.

Wellbeing Over Time (With vs Without Policy)

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

IT Specialist (New York, NY)

Age: 37 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 18/20

Statement of Opinion:

  • Unlikely to see direct benefits from the policy.
  • Policy offers a sense of security for disaster-prone regions.

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

Farmer (Puerto Rico)

Age: 62 | Gender: female

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Significant aid required to recover our livelihood.
  • Hopeful for sustainable farming solutions and infrastructure support.

Wellbeing Over Time (With vs Without Policy)

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

Construction Worker (Kansas City, KS)

Age: 49 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • Steady work expected in rebuilding projects with this policy.
  • Policy may improve industry standards and practices.

Wellbeing Over Time (With vs Without Policy)

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

NGO Worker (New York, NY)

Age: 33 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • The policy might streamline assistance requests from affected communities.
  • Could enhance future non-profit collaborations with the government.

Wellbeing Over Time (With vs Without Policy)

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

College Student (Baton Rouge, LA)

Age: 21 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 16/20

Statement of Opinion:

  • Hopeful for personal and educational assistance to overcome financial stress.
  • Policy could enhance academic programs and student support services.

Wellbeing Over Time (With vs Without Policy)

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

Tour Planner (San Juan, PR)

Age: 40 | Gender: other

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • Crucial that tourism recovery is prioritized under new economic classification.
  • Possibility of grants and loans to revive the industry looks promising.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $20000000 (Low: $10000000, High: $30000000)

Year 2: $21000000 (Low: $10500000, High: $31500000)

Year 3: $22000000 (Low: $11000000, High: $33000000)

Year 5: $24000000 (Low: $12000000, High: $36000000)

Year 10: $27000000 (Low: $13500000, High: $40500000)

Year 100: $50000000 (Low: $25000000, High: $75000000)

Key Considerations