Policy Impact Analysis - 117/S/2433

Bill Overview

Title: Federal Land Asset Inventory Reform Act of 2021

Description: This bill directs the Department of the Interior and the Forest Service to develop and maintain a current and accurate multipurpose cadastre (inventory) of federal real property under their jurisdictions to support federal land management activities on federal real property, including resource development and conservation and agricultural use. Interior and the Forest Service 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 and the Forest Service 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 and the appraised value of the land, if an appraisal has been conducted pursuant to the Federal Land Policy and Management Act of 1976.

Sponsors: Sen. Cramer, Kevin [R-ND]

Target Audience

Population: Individuals affected by federal land management activities

Estimated Size: 330000000

Reasoning

Simulated Interviews

Forest Service Ranger (Bozeman, Montana)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The policy will make my job more efficient as it consolidates land data.
  • I believe it will save time and resources spent on land management documentation.
  • Public transparency is excellent, but data security must be ensured.

Wellbeing Over Time (With vs Without Policy)

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

Environmental Conservationist (Boulder, Colorado)

Age: 50 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • Access to consolidated land data will enhance our conservation planning.
  • Concerns over increased development undermining conservation efforts.

Wellbeing Over Time (With vs Without Policy)

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

Resource Developer (Houston, Texas)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy could provide better clarity on available lands for resource extraction.
  • Wider access to appraised values is beneficial for investment decisions.

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 8 5
Year 10 9 5
Year 20 9 5

Outdoor Enthusiast (Seattle, Washington)

Age: 28 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • Publicly available land data would clarify accessibility to certain trails and camping areas.
  • Concern about lands being marked for disposal and reduced public access.

Wellbeing Over Time (With vs Without Policy)

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

Retired Farmer (Springfield, Illinois)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Easier identification of surplus lands for purchase is a potential benefit.
  • Wary of the potential complexities of acquiring these lands.

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 6 5
Year 20 5 4

Realtor (Atlanta, Georgia)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy could streamline the process for clients seeking to buy federal lands.
  • Could increase competition in federal land real estate.

Wellbeing Over Time (With vs Without Policy)

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

Outdoor Equipment Retailer (Phoenix, Arizona)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • More accessible land data could attract more customers wanting clear information on federal outdoor activities.
  • My business might benefit if land management improves accessibility.

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 6
Year 10 7 6
Year 20 6 5

Bureau of Land Management Official (Salt Lake City, Utah)

Age: 55 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This cadastre will support our efforts at federal land accountability and policy making.
  • Data maintenance and public access must be managed carefully to prevent misuse.

Wellbeing Over Time (With vs Without Policy)

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

Retired Land Surveyor (Denver, Colorado)

Age: 72 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • The policy modernization of land data management could streamline what was once labor-intensive work.
  • I have concerns that not all areas will benefit equally from the digitization efforts.

Wellbeing Over Time (With vs Without Policy)

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

Student (Missoula, Montana)

Age: 18 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • Making land data transparent is crucial for future sustainability efforts.
  • I'm hopeful this policy encourages more informed activism and education.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $40000000 (Low: $35000000, High: $45000000)

Year 2: $35000000 (Low: $30000000, High: $40000000)

Year 3: $30000000 (Low: $25000000, High: $35000000)

Year 5: $25000000 (Low: $20000000, High: $30000000)

Year 10: $20000000 (Low: $15000000, High: $25000000)

Year 100: $10000000 (Low: $5000000, High: $15000000)

Key Considerations