Policy Impact Analysis - 117/HR/7689

Bill Overview

Title: United States Secret Service Mission Improvement and Realignment Act of 2022

Description: This bill transfers the U.S. Secret Service from the Department of Homeland Security to the Department of the Treasury. The bill directs the Office of Management and Budget to make incidental dispositions of personnel, assets, and liabilities held in connection with the functions transferred. The Secret Service, by December 31 of each year, shall submit to specified congressional committees an annual report on any trip by a protected individual with a stop at a location that is not owned or controlled by the federal government, including any such trip that is outside of the United States. Such report shall include (1) for each instance of such travel, a statement of the protected individuals, dates of departure and return, total amount of travel expenditures, and other specified information; and (2) for each protected individual, the total amount of incidental expenditures incurred for the purpose of providing protection to the protected individual during the reporting period.

Sponsors: Rep. Williams, Roger [R-TX-25]

Target Audience

Population: Individuals involved with the United States Secret Service

Estimated Size: 60000

Reasoning

Simulated Interviews

Secret Service Agent (Washington D.C.)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The transfer to the Department of the Treasury could streamline our resource management.
  • Emphasis on precise reporting might add to administrative workload, but it's necessary for accountability.

Wellbeing Over Time (With vs Without Policy)

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

Protected government official (New York City)

Age: 52 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Increased reporting on travel might lead to more cautious planning
  • Transparency is good for government accountability but may complicate logistics.

Wellbeing Over Time (With vs Without Policy)

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

Administrative officer in Department of the Treasury (Los Angeles, CA)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • Reorganization might involve initial workload increase, but could improve long-term efficiency.
  • Budget management strategies will need adjustments.

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

Financial analyst for the Department of Homeland Security (Chicago, IL)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Uncertain about how resources will be redistributed after the transfer.
  • Additional reporting could add transparency but also strain resources.

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 7 6
Year 10 7 6
Year 20 7 6

Federal employee, not directly related to Secret Service (San Antonio, TX)

Age: 30 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy doesn't impact my daily responsibilities.
  • Budget changes might indirectly affect our department's resource allocation in the long run.

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

Senior Secret Service executive (Seattle, WA)

Age: 57 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • I've seen administrative transitions before; this could bring both challenges and opportunities.
  • Our focus on improved reporting will set a high standard.

Wellbeing Over Time (With vs Without Policy)

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

Economist, Department of Treasury (Boston, MA)

Age: 43 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Reorganization may lead to more streamlined operations.
  • Secret Service's needs will influence budgeting priorities.

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

Software engineer, government contractor (Phoenix, AZ)

Age: 28 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • My work is contract-based, so I don't feel much change directly.
  • Any operational changes will likely be logistical.

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

Logistics coordinator, Secret Service (Miami, FL)

Age: 48 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I anticipate more logistical challenges due to increased reporting.
  • This could improve clarity on travel expenses.

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 7
Year 10 8 7
Year 20 8 7

Chief Information Officer, federal agency (Denver, CO)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 4.0 years

Commonness: 8/20

Statement of Opinion:

  • Policy may require adjustments in IT infrastructure for improved data reporting.
  • From a tech standpoint, this could drive innovation.

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: $20000000 (Low: $15000000, High: $25000000)

Year 2: $10000000 (Low: $8000000, High: $12000000)

Year 3: $10000000 (Low: $8000000, High: $12000000)

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

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

Year 100: $10000 (Low: $5000, High: $15000)

Key Considerations