Policy Impact Analysis - 117/HR/5522

Bill Overview

Title: Federal Land Asset Inventory Reform Act of 2021

Description: This bill directs the Department of the Interior to develop and maintain a current and accurate multipurpose cadastre (inventory) of federal real property (excluding Indian land) to support federal land management activities on federal real property, including resource development and conservation and agricultural use. Interior may enter cost-sharing agreements with states to include nonfederal real property in the cadastre. Interior shall report on (1) existing real property inventories or any components of any cadastre of federal real property, (2) consolidation of inventories and components, (3) the use of existing inventories and components of any cadastre, (4) cost savings that will be achieved, (5) a plan for implementation of this bill, and (6) recommendations for legislation. Interior shall (1) make the multipurpose cadastre publicly available on the internet, and (2) ensure that such cadastre includes the identification of all lands suitable for disposal pursuant to the Federal Land Policy and Management Act of 1976.

Sponsors: Rep. Kind, Ron [D-WI-3]

Target Audience

Population: Individuals involved with or interested in federal land management and usage

Estimated Size: 3000000

Reasoning

Simulated Interviews

Federal land manager (Denver, Colorado)

Age: 35 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy will make my job more efficient by providing accurate land data.
  • It will improve decision-making for resource allocation.

Wellbeing Over Time (With vs Without Policy)

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

Environmental NGO representative (Salt Lake City, Utah)

Age: 48 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Excited about the transparency and accessibility of land data.
  • Hopes it will help identify more areas for conservation.

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 8 6

Real estate developer (Reno, Nevada)

Age: 42 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • The cadastre could reveal new development opportunities.
  • Could help in strategic planning for real estate projects.

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 7
Year 10 8 7
Year 20 8 7

State government worker (Austin, Texas)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Greater collaboration with federal level could enhance state-level projects.
  • Could see improved data sharing with the federal government.

Wellbeing Over Time (With vs Without Policy)

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

Retired citizen (Portland, Oregon)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • Public access to land data is a positive step.
  • Encouraged by potential improvements in land conservation.

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 7 5
Year 10 7 5
Year 20 6 4

Software developer (Sacramento, California)

Age: 31 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Access to detailed land data could enhance our applications.
  • Could improve data reliability in GIS projects.

Wellbeing Over Time (With vs Without Policy)

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

Conservation officer (Phoenix, Arizona)

Age: 55 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • This policy could support more cohesive conservation strategies.
  • I expect improved coordination between state and federal levels.

Wellbeing Over Time (With vs Without Policy)

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

Agricultural business owner (Bozeman, Montana)

Age: 38 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • The cadastre might open new leasing opportunities near my farm.
  • Could influence long-term business planning.

Wellbeing Over Time (With vs Without Policy)

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

Environmental science student (Chicago, Illinois)

Age: 22 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Access to this database is beneficial for research and career prospects.
  • Interested to see how the cadastre influences future policy changes.

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 7
Year 10 8 7
Year 20 7 6

Community organizer (Albuquerque, New Mexico)

Age: 45 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Concerned about implications for indigenous lands, even though they are excluded.
  • Hopes for increased dialogue around land rights.

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 7 5
Year 10 7 5
Year 20 6 4

Cost Estimates

Year 1: $6500000 (Low: $5000000, High: $8000000)

Year 2: $7000000 (Low: $5500000, High: $8500000)

Year 3: $7500000 (Low: $6000000, High: $9000000)

Year 5: $8500000 (Low: $7000000, High: $10000000)

Year 10: $10000000 (Low: $8500000, High: $11500000)

Year 100: $17000000 (Low: $14000000, High: $20000000)

Key Considerations