Policy Impact Analysis - 117/HR/6550

Bill Overview

Title: End Prison Gerrymandering Act

Description: This bill requires the Department of Commerce, beginning with the 2030 decennial census, to attribute an individual incarcerated in a correctional center to the individual's last place of residence before incarceration. Further, a state must treat such an individual's last place of residence in the state before incarceration as the individual's place of residence for purposes of congressional redistricting.

Sponsors: Rep. Ross, Deborah K. [D-NC-2]

Target Audience

Population: People in the United States affected by congressional representation potentially changing due to the re-counting of incarcerated individuals

Estimated Size: 10000000

Reasoning

Simulated Interviews

Construction Worker (New York City, NY)

Age: 33 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • I think the bill makes sense because it seems only fair for my brother to be counted where he actually lived and will come back to.
  • Our community needs more representation, and this might help.

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 5
Year 20 7 5

Prison Guard (Rural Kentucky)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • I have concerns about losing political clout in our rural area.
  • Jobs here are already scarce; losing influence could affect the prison and our livelihood.

Wellbeing Over Time (With vs Without Policy)

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

Community Organizer (Chicago, IL)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy is a step towards fairness as it recognizes the community's true constituents.
  • It's vital for securing needed funds and representation for services and improvements.

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

Public School Teacher (Los Angeles, CA)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • I'm hopeful this policy will eventually bring more educational funding to our schools.
  • Representation matters for shaping a better future for our children.

Wellbeing Over Time (With vs Without Policy)

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

Social Worker (Atlanta, GA)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • This could be transformational for families I work with, as it's about justice in representation.
  • I hope it leads to better services and community growth.

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 7 6
Year 10 8 6
Year 20 8 6

Formerly Incarcerated Individual (Houston, TX)

Age: 40 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Finally, they're doing something that actually recognizes us as part of our hometowns.
  • This change could mean more support when we get back home.

Wellbeing Over Time (With vs Without Policy)

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

Retired Farmer (Rural Nevada)

Age: 64 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 18/20

Statement of Opinion:

  • I'm worried about the effects on local politics if we lose population counts.
  • Not sure this benefits our rural community much.

Wellbeing Over Time (With vs Without Policy)

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

University Student (Philadelphia, PA)

Age: 22 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 9/20

Statement of Opinion:

  • This policy aligns with the principles of fair democratic representation.
  • Understanding its long-term effects on urban communities is crucial.

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 7
Year 10 9 7
Year 20 9 7

Local Politician (Detroit, MI)

Age: 50 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • If managed well, this can adjust the imbalances in political representation.
  • It reinforces the community's right to be accurately represented.

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 7 6
Year 20 7 6

Tech Analyst (San Francisco, CA)

Age: 28 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 20/20

Statement of Opinion:

  • From a data perspective, this makes sense to ensure representative demographics for electoral fairness.
  • Curious to see how this changes the district maps in the long run.

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 7 8

Cost Estimates

Year 1: $10000000 (Low: $5000000, High: $15000000)

Year 2: $8000000 (Low: $4000000, High: $12000000)

Year 3: $6000000 (Low: $3000000, High: $9000000)

Year 5: $3000000 (Low: $1500000, High: $4500000)

Year 10: $1000000 (Low: $500000, High: $1500000)

Year 100: $0 (Low: $0, High: $0)

Key Considerations