Policy Impact Analysis - 117/HR/7385

Bill Overview

Title: TRAIN Act

Description: This bill provides statutory authority for the Department of Labor's Strengthening Community Colleges Training Grants program, which awards competitive grants for community colleges to provide education or career training for jobs in high-demand industries.

Sponsors: Rep. McBath, Lucy [D-GA-6]

Target Audience

Population: People seeking education or career training in high-demand industries through community colleges

Estimated Size: 3000000

Reasoning

Simulated Interviews

Community College Student (Austin, Texas)

Age: 22 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • I am excited about the potential this program has to expand opportunities in my field.
  • Training grants could help reduce the financial burden of my education.

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 9 7

Unemployed (Phoenix, Arizona)

Age: 31 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • The program sounds promising, especially with high-demand jobs like tech.
  • If it leads to real job opportunities, I'm interested.

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 6
Year 10 8 6
Year 20 7 5

Career Counselor (Miami, Florida)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 8/20

Statement of Opinion:

  • Additional resources would benefit the students I advise greatly.
  • I hope to see more programs aligning education with job market needs.

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

Part-time Worker (Fargo, North Dakota)

Age: 19 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 10/20

Statement of Opinion:

  • More training opportunities could allow me to focus on a sustainable career.
  • I'm optimistic but cautious about how much it will actually help.

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 9 7
Year 10 9 7
Year 20 9 7

Software Developer (Los Angeles, California)

Age: 28 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • Grants for technical fields might shorten my journey into tech.
  • It sounds like an opportunity to gain qualifications without the debt.

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 6
Year 10 8 6
Year 20 8 6

Community College Administrator (New York, New York)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 14/20

Statement of Opinion:

  • There is potential, but efficient use of the budget will determine success.
  • I've seen similar initiatives fall short of their goals.

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 7 6

Community College Graduate (Chicago, Illinois)

Age: 24 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • If the program supports entrepreneurship, it could significantly help.
  • I need practical skills to launch my start-up.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 4
Year 2 6 5
Year 3 7 5
Year 5 7 6
Year 10 8 6
Year 20 9 7

Single Parent (Boston, Massachusetts)

Age: 35 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 13/20

Statement of Opinion:

  • This could lighten my load and speed up my path to a stable career.
  • Training in high-demand jobs is critical for my family's future.

Wellbeing Over Time (With vs Without Policy)

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

Automotive Technician Student (Detroit, Michigan)

Age: 27 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • A focus on industry demand is a smart move for job security.
  • I'm eager to see if this translates to real opportunities.

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 8 6
Year 20 8 7

Community Organizer (Seattle, Washington)

Age: 33 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • I hope the act includes provisions for those who might face access challenges.
  • It has the potential to bridge gaps in education quality across states.

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

Cost Estimates

Year 1: $350000000 (Low: $300000000, High: $400000000)

Year 2: $358000000 (Low: $305000000, High: $410000000)

Year 3: $366000000 (Low: $310000000, High: $420000000)

Year 5: $383000000 (Low: $320000000, High: $440000000)

Year 10: $420000000 (Low: $350000000, High: $483000000)

Year 100: $650000000 (Low: $500000000, High: $800000000)

Key Considerations