Policy Impact Analysis - 117/HR/8105

Bill Overview

Title: Good Jobs for Good Airports Act

Description: This bill addresses pay, benefits, and labor standards for certain airport service workers. Airport service workers include security officers, food service workers, cleaning staff, ticketing agents, and retail service workers. Specifically, the bill establishes a minimum wage and benefit standard for such airport service workers at large, medium, and small hub airports. It also prohibits small, medium, and large hub airports from accessing federal funds for airport development projects unless the airports certify that such airport service workers are paid no less than the higher of $15 per hour, the applicable state or local minimum wage and fringe benefits, or the prevailing wage and fringe benefits required under the Service Contract Act as established by the Department of Labor.

Sponsors: Rep. Garcia, Jesus G. "Chuy" [D-IL-4]

Target Audience

Population: airport service workers worldwide

Estimated Size: 1000000

Reasoning

Simulated Interviews

Food service worker (Atlanta, GA)

Age: 29 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy will really help me get some breathing room with my bills.
  • It'll be nice to not have to work two jobs just to get by.

Wellbeing Over Time (With vs Without Policy)

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

Security officer (Denver, CO)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 18/20

Statement of Opinion:

  • Having a guaranteed minimum wage will make planning easier.
  • The stability will reduce stress in my household.

Wellbeing Over Time (With vs Without Policy)

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

Cleaning staff (Seattle, WA)

Age: 34 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • The extra funds would help me take better care of my mom.
  • This gives more dignity to our work.

Wellbeing Over Time (With vs Without Policy)

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

Ticketing agent (New York, NY)

Age: 58 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • This policy can help me save a bit more for retirement.
  • The health benefits aspect is very crucial for me.

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 7 6
Year 20 6 5

Retail service worker (Miami, FL)

Age: 25 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 16/20

Statement of Opinion:

  • I’m excited about the chance to earn a bit more.
  • It would definitely help with rent and student loans.

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 6 4
Year 10 6 4
Year 20 5 3

Security officer (Chicago, IL)

Age: 47 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 11/20

Statement of Opinion:

  • With the extra wages, I can spend more time with my kids.
  • It’s going to make my life just a bit more comfortable.

Wellbeing Over Time (With vs Without Policy)

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

Food service worker (Dallas, TX)

Age: 39 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 15.0 years

Commonness: 13/20

Statement of Opinion:

  • Higher wages mean I'll be less worried about monthly expenses.
  • This policy shows that our work is valued.

Wellbeing Over Time (With vs Without Policy)

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

Cleaning staff (San Francisco, CA)

Age: 31 | Gender: female

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 17/20

Statement of Opinion:

  • Every little bit helps when rent is so high.
  • It's a step in the right direction, but more work is needed.

Wellbeing Over Time (With vs Without Policy)

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

Ticketing agent (Los Angeles, CA)

Age: 53 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • A higher wage won’t directly affect me much, but it’s comforting for the long term.
  • The policy is good but I wish there were more on pensions.

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 5
Year 10 6 5
Year 20 5 4

Retail service worker (Orlando, FL)

Age: 22 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 15.0 years

Commonness: 11/20

Statement of Opinion:

  • I've been struggling to manage my student loans on my current salary.
  • This policy affords me some much-needed relief.

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 7 3
Year 10 7 3
Year 20 6 3

Cost Estimates

Year 1: $250000000 (Low: $200000000, High: $300000000)

Year 2: $270000000 (Low: $220000000, High: $320000000)

Year 3: $290000000 (Low: $240000000, High: $340000000)

Year 5: $320000000 (Low: $270000000, High: $370000000)

Year 10: $370000000 (Low: $320000000, High: $420000000)

Year 100: $700000000 (Low: $600000000, High: $800000000)

Key Considerations