Policy Impact Analysis - 117/HR/8271

Bill Overview

Title: ATF DATA Act

Description: This bill directs the Bureau of Alcohol, Tobacco, Firearms and Explosives to report to Congress and make publicly available certain data sets regarding firearms tracing data.

Sponsors: Rep. Schiff, Adam B. [D-CA-28]

Target Audience

Population: Individuals worldwide affected by potential firearm-related crime or policies

Estimated Size: 331000000

Reasoning

Simulated Interviews

Community Organizer (Chicago, IL)

Age: 35 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 8/20

Statement of Opinion:

  • I believe the data will show just how needed our community programs are.
  • This could be useful in getting more resources to fight gun violence.

Wellbeing Over Time (With vs Without Policy)

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

Gun Rights Advocate (Des Moines, IA)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I hope this data does not infringe on our rights.
  • Transparency is good, but it must be handled with care.

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 6 6

Research Scientist (Washington, DC)

Age: 50 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This is a step forward in understanding and preventing gun violence.
  • Research like mine needs this kind of data to drive policy.

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 5
Year 10 9 6
Year 20 9 6

College Student (Los Angeles, CA)

Age: 22 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I'm not directly involved with gun policy, but it's crucial background for issues I care about.
  • It has potential societal effects that I support.

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

Retired (Houston, TX)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I hope this leads to more effective crime prevention in our neighborhood.
  • Strong data might finally bring change.

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 6
Year 10 8 6
Year 20 7 6

Farmer (Rural Minnesota)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • Data transparency is good, as long as it's fair and not biased.
  • We need honest data that doesn’t disrupt rural lifestyles.

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

Policy Maker (New York, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • This data is critical to creating laws that protect citizens while respecting rights.
  • We can adapt policies to real needs.

Wellbeing Over Time (With vs Without Policy)

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

Journalist (Atlanta, GA)

Age: 32 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Accurate data is crucial for holding authorities accountable.
  • Journalism benefits from open access to data.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Seattle, WA)

Age: 38 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • I am curious about how technology and data analysis can improve safety and policy.
  • Though not directly impacted, greater transparency is always beneficial.

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

College Student (Miami, FL)

Age: 19 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • I'm more focused on environmental issues, but gun data seems important for broader societal trends.
  • Given my group's work, I'm interested in how data might support various causes.

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

Cost Estimates

Year 1: $80000000 (Low: $60000000, High: $100000000)

Year 2: $82000000 (Low: $62000000, High: $105000000)

Year 3: $84000000 (Low: $64000000, High: $108000000)

Year 5: $88000000 (Low: $68000000, High: $115000000)

Year 10: $96000000 (Low: $74000000, High: $125000000)

Year 100: $150000000 (Low: $120000000, High: $200000000)

Key Considerations