Policy Impact Analysis - 117/HR/9472

Bill Overview

Title: SNAP Back to Health Act of 2022

Description: This bill revises the Supplemental Nutrition Assistance Program (SNAP) to prohibit the use of SNAP benefits to purchase sugary beverages. Sugary beverages are beverages that contain brown sugar, corn sweetener, corn syrup, dextrose, fructose, glucose, high-fructose corn syrup, honey, lactose, malt syrup, maltose, molasses, raw sugar, and sucrose, aspartame, Splenda, acesulfame potassium, stevia, or any similar substance.

Sponsors: Rep. Grothman, Glenn [R-WI-6]

Target Audience

Population: People who use SNAP benefits

Estimated Size: 42000000

Reasoning

Simulated Interviews

Part-time cashier (Chicago, IL)

Age: 30 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • I understand they want us to be healthier, but sugary drinks are convenient and cheap.
  • I use SNAP to buy these drinks for my kids since they love them.
  • It might push me to buy more juice, but we'll manage if it's better for us.

Wellbeing Over Time (With vs Without Policy)

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

Unemployed (Jacksonville, FL)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • It doesn't bother me much since I need to avoid sugar anyway.
  • Could be a good thing for folks who drink too much soda.

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 6
Year 10 6 6
Year 20 6 6

College student (Los Angeles, CA)

Age: 22 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • I rely on energy drinks for long study nights, but I guess coffee works too.
  • Not my favorite rule, but I get why it's happening.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Des Moines, IA)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • I enjoy my sweet teas and don't like others telling me what I can't buy.
  • I'll have to adjust, maybe start getting unsweetened ones.

Wellbeing Over Time (With vs Without Policy)

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

Freelancer (San Francisco, CA)

Age: 28 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 4/20

Statement of Opinion:

  • I rarely buy sugary drinks with SNAP anyway.
  • I'm all for any policy that nudges us towards healthier consumption habits.

Wellbeing Over Time (With vs Without Policy)

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

Home Health Aide (Houston, TX)

Age: 42 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • My family enjoys our weekly soda treat, and this limits us.
  • We'll try to find healthier alternatives, but it's going to be hard.

Wellbeing Over Time (With vs Without Policy)

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

Retired military personnel (Buffalo, NY)

Age: 63 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 9/20

Statement of Opinion:

  • Doesn't affect me directly as I prefer water and tea.
  • It might help others think twice about their drink choices.

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

Fast food worker (Cleveland, OH)

Age: 19 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 13/20

Statement of Opinion:

  • Sugared coffee is key for my morning, not happy it's being limited.
  • Maybe I'll switch to black coffee eventually.

Wellbeing Over Time (With vs Without Policy)

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

Nurse (Boston, MA)

Age: 37 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • I know sodas aren't great, so I'll cut back if I need to.
  • I think this can make people rethink their choices, including me.

Wellbeing Over Time (With vs Without Policy)

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

Artist (Seattle, WA)

Age: 50 | Gender: other

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • I rarely buy sugary drinks, so this won't change much for me.
  • Could be a push for others to find healthier options they didn't consider before.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000 (Low: $3000000, High: $7000000)

Year 2: $4500000 (Low: $2500000, High: $6500000)

Year 3: $4000000 (Low: $2000000, High: $6000000)

Year 5: $3500000 (Low: $1500000, High: $5500000)

Year 10: $3000000 (Low: $1000000, High: $5000000)

Year 100: $2000000 (Low: $500000, High: $4000000)

Key Considerations