Policy Impact Analysis - 117/HR/6594

Bill Overview

Title: Protecting Federal Agencies and Employees from Political Interference Act of 2022

Description: This bill prohibits the relocation of the headquarters for any federal entity located in the National Capital region unless relocation legislation is enacted. In addition, any employee's position with a duty station in the National Capital region shall remain in that region unless legislation relocating the position is enacted.

Sponsors: Del. Norton, Eleanor Holmes [D-DC-At Large]

Target Audience

Population: Federal employees and their families

Estimated Size: 1000000

Reasoning

Simulated Interviews

Federal Policy Analyst (Washington, D.C.)

Age: 33 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy gives me a sense of stability knowing my job won't suddenly relocate.
  • It's tough balancing work and family, so staying in D.C. helps a lot.
  • I'm relieved that my daughter's schooling won't be interrupted.

Wellbeing Over Time (With vs Without Policy)

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

IT Specialist at a federal agency (Arlington, VA)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Maintaining stability is crucial for us; moving would be a serious disruption.
  • It's reassuring to have a policy that supports existing staff locations.

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 8 6
Year 10 8 5
Year 20 6 5

Junior Researcher in a federal think-tank (Alexandria, VA)

Age: 29 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I've seen what relocations can do to teams, so stability is important to me.
  • This policy seems like a good safeguard for newcomers in the area.

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 4
Year 10 5 4
Year 20 5 4

Senior Policy Director (Washington, D.C.)

Age: 52 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • My career trajectory heavily depends on staying involved here at the headquarters.
  • I support the policy as it ensures organizational continuity.

Wellbeing Over Time (With vs Without Policy)

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

Federal Contractor (Baltimore, MD)

Age: 38 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • As a contractor, I'm not directly affected, but stability might mean more contract opportunities.
  • The policy seems fair, but I'm watching cautiously as we're more influenced indirectly.

Wellbeing Over Time (With vs Without Policy)

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

Administrative Assistant at a federal agency (Washington, D.C.)

Age: 41 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • Housing prices in the area are a concern, but at least my job is secure against relocation.
  • I appreciate the security this policy provides to employees like me.

Wellbeing Over Time (With vs Without Policy)

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

Recent graduate and intern at a federal department (Washington, D.C.)

Age: 25 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 9/20

Statement of Opinion:

  • I understand the need for stability, but I'm not yet invested in staying long-term.
  • This policy has minimal impact on my current situation as an intern.

Wellbeing Over Time (With vs Without Policy)

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

Federal Regional Liaison (Fairfax, VA)

Age: 37 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 11/20

Statement of Opinion:

  • Less concerned about relocations; my job involves plenty of travel anyways.
  • Policy is good for others, but doesn't greatly influence my life's trajectory.

Wellbeing Over Time (With vs Without Policy)

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

Department Head at a federal agency (Bethesda, MD)

Age: 60 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Ensuring stability in my final working years is appreciated, helping to mentor successors.
  • This policy strengthens the agency by keeping us rooted here in D.C.

Wellbeing Over Time (With vs Without Policy)

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

Federal Investigator (Reston, VA)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • The policy isn't directly impactful as my role entails significant travel anyway.
  • If anything, it slightly decreases operational disruptions at the office.

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 6 7
Year 10 6 6
Year 20 5 5

Cost Estimates

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

Year 2: $5000000 (Low: $3000000, High: $7000000)

Year 3: $5000000 (Low: $3000000, High: $7000000)

Year 5: $5000000 (Low: $3000000, High: $7000000)

Year 10: $5000000 (Low: $3000000, High: $7000000)

Year 100: $5000000 (Low: $3000000, High: $7000000)

Key Considerations