Policy Impact Analysis - 117/S/5236

Bill Overview

Title: Aviation Workforce Development Enhancement Act

Description: This bill expands aviation workforce development programs of the Federal Aviation Administration by providing additional grant funding for aircraft pilot development, the education and recruitment of aviation maintenance technical workers, and the development of the aviation manufacturing workforce.

Sponsors: Sen. Duckworth, Tammy [D-IL]

Target Audience

Population: People involved in or entering the aviation workforce

Estimated Size: 1000000

Reasoning

Simulated Interviews

Aeronautical Engineering Student (Daytona Beach, FL)

Age: 22 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • The additional funding could really enhance our training facilities and provide more hands-on learning opportunities.
  • Better equipment and better-trained instructors could make a big difference in my readiness for the industry.

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 7
Year 10 9 7
Year 20 7 6

Aircraft Maintenance Technician (Seattle, WA)

Age: 35 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Access to new training options would keep my skillset up to date, which is crucial in this rapidly advancing industry.
  • I see this as a valuable opportunity to secure my job against technological changes.

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 6
Year 20 7 6

Commercial Pilot (San Antonio, TX)

Age: 28 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • The policy might not directly apply to me now, but I see potential industry growth that could enhance job stability and possibly open up more advanced training options.

Wellbeing Over Time (With vs Without Policy)

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

Aerospace Manufacturing Worker (Wichita, KS)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 6.0 years

Commonness: 5/20

Statement of Opinion:

  • This could be a great opportunity to transition into more skilled roles within the company.
  • Training supported by this bill might help me pursue my ambitions without financial burden.

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 7
Year 10 8 6
Year 20 7 5

Aviation Instructor (Atlanta, GA)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • With additional grant funding, we can implement advanced simulators and teaching aids, attracting more students to our program.

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 9 8
Year 10 9 7
Year 20 7 6

High School Student Interested in Aviation (Cleveland, OH)

Age: 19 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • The grants could lower the barriers of entry for students like me to enter the aviation field, making aviation education more accessible.

Wellbeing Over Time (With vs Without Policy)

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

Retired Aviation Engineer (Chicago, IL)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 8/20

Statement of Opinion:

  • While retired, I might consider re-entering the industry with new initiatives stirring up fresh opportunities, especially in advisory roles.

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 6 6

Flight Attendant (Los Angeles, CA)

Age: 30 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Although I'm not directly a target for this policy, it could indirectly benefit my career transition ambitions by improving the overall aviation industry's growth and training programs.

Wellbeing Over Time (With vs Without Policy)

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

Aviation Operations Manager (Phoenix, AZ)

Age: 36 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • If the policy leads to more qualified personnel entering the workforce, it could ease some of the operational challenges we often face, creating a more efficient work environment.

Wellbeing Over Time (With vs Without Policy)

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

Aviation Consultant (Dallas, TX)

Age: 62 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • A greater talent pool may lead to more innovative solutions and consulting opportunities. Making education more accessible is always a good move for the industry's future.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $30000000 (Low: $25000000, High: $35000000)

Year 2: $30000000 (Low: $25000000, High: $35000000)

Year 3: $30000000 (Low: $25000000, High: $35000000)

Year 5: $30000000 (Low: $25000000, High: $35000000)

Year 10: $30000000 (Low: $25000000, High: $35000000)

Year 100: $30000000 (Low: $25000000, High: $35000000)

Key Considerations