Policy Impact Analysis - 117/HR/7106

Bill Overview

Title: Empowering Individuals to Succeed Through Education and Workforce Training Act

Description: This bill directs the Department of Labor to award grants to provide support services (e.g., transportation, child or dependent care, housing, and other needs-related payments) for individuals receiving workforce training and education.

Sponsors: Rep. Smith, Adam [D-WA-9]

Target Audience

Population: People involved in workforce training and education programs

Estimated Size: 15000000

Reasoning

Simulated Interviews

Currently unemployed, seeking job skills training (Detroit, MI)

Age: 35 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • This policy would really help me with my transportation difficulties. Sometimes, I can't even attend my training sessions because I can't get there.
  • Having childcare support would relieve a huge burden and allow me to focus on my training.

Wellbeing Over Time (With vs Without Policy)

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

Part-time retail worker, attending evening courses (Rural Kentucky)

Age: 50 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Access to better transportation would make it easier to attend classes consistently.
  • I could use some help with housing costs so that I can invest more time into my education.

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 8 6
Year 10 8 6
Year 20 8 6

Tech worker, looking to shift careers with additional training (San Francisco, CA)

Age: 26 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • Housing support would make it feasible for me to continue my career training without taking excessive loans.
  • Access to policy benefits would probably push me to a more stable working situation sooner.

Wellbeing Over Time (With vs Without Policy)

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

Administrative assistant, enrolled in college part-time (New York City, NY)

Age: 22 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 18/20

Statement of Opinion:

  • The thought of receiving assistance for transportation and housing would be a lifesaver while I work and study.
  • Policy like this can help reduce the stress of day-to-day life expenses.

Wellbeing Over Time (With vs Without Policy)

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

Freelance graphic designer, part-time student (Los Angeles, CA)

Age: 40 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 8/20

Statement of Opinion:

  • Support for child care and transportation could really make a difference in my education path.
  • I might be able to pick up more reliable work if I could consistently complete my course.

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 8 6
Year 10 8 7
Year 20 8 7

Office worker, currently upskilling (Austin, TX)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 12/20

Statement of Opinion:

  • The program could help balance my financial issues while I focus on my upskilling.
  • It might be the difference between being just okay and thriving.

Wellbeing Over Time (With vs Without Policy)

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

Factory worker, undertaking training for advancement (Philadelphia, PA)

Age: 45 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 16/20

Statement of Opinion:

  • The policy could provide the cushioning I need to complete my training without skipping days.
  • Support services would ease stress resulting from economic uncertainties.

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 8 6
Year 10 9 8
Year 20 9 8

Hospitality worker, learning coding (Miami, FL)

Age: 33 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • Transportation support is something I’d benefit from almost immediately.
  • The policy could make a big difference in completing my training smoothly.

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 8 6
Year 10 8 7
Year 20 8 7

Retired, but retraining for part-time work (Seattle, WA)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Assistance with housing would make retraining a viable option to improve my standard of living.
  • Knowing there are resources available makes the idea of returning to work less overwhelming.

Wellbeing Over Time (With vs Without Policy)

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

Seasonal retail worker, enrolled in training programs (Chicago, IL)

Age: 31 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 15/20

Statement of Opinion:

  • Having steady transportation would help to not miss any of my training.
  • Childcare provision could allow me to focus properly on my education path.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $6000000000 (Low: $5000000000, High: $7000000000)

Year 2: $6100000000 (Low: $5100000000, High: $7100000000)

Year 3: $6200000000 (Low: $5200000000, High: $7200000000)

Year 5: $6400000000 (Low: $5400000000, High: $7400000000)

Year 10: $6600000000 (Low: $5600000000, High: $7600000000)

Year 100: $8000000000 (Low: $7000000000, High: $9000000000)

Key Considerations