Policy Impact Analysis - 117/HR/8281

Bill Overview

Title: Military Housing Affordability Act of 2022

Description: This bill extends certain authorities of the Department of Defense (DOD) to adjust basic housing allowances for military housing in certain areas. Specifically, the bill extends to December 31, 2024, DOD's authority to increase the rates of basic housing allowance in areas of a declared major disaster or areas containing one or more military installations that are experiencing a sudden increase in the number of members assigned to the installation. The bill also extends to September 30, 2024, DOD's authority to prescribe a temporary adjustment to basic housing allowance rates if DOD determines the costs of adequate housing for civilians in that military housing area differs from the current allowance rates by more than 20%.

Sponsors: Rep. Williams, Nikema [D-GA-5]

Target Audience

Population: Military personnel in the United States and their families

Estimated Size: 2000000

Reasoning

Simulated Interviews

Active-duty Military (Fort Carson, Colorado)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • I'm hopeful this policy will help us manage our housing expenses as it has become increasingly difficult with the local price hikes.

Wellbeing Over Time (With vs Without Policy)

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

Navy Personnel (Jacksonville, Florida)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • I doubt this policy affects me much, since my area hasn't seen much change in housing costs.
  • I do feel it's unfair that only certain areas benefit from this.

Wellbeing Over Time (With vs Without Policy)

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

Marine Corps Officer (San Diego, California)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I believe this policy could significantly ease the burden of housing costs in high-demand areas like San Diego.

Wellbeing Over Time (With vs Without Policy)

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

Army Soldier (Honolulu, Hawaii)

Age: 30 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • Housing in Hawaii is already expensive. Such a policy is crucial to offset these costs for military families.

Wellbeing Over Time (With vs Without Policy)

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

Military Reserve (Fort Hood, Texas)

Age: 32 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I don't see my situation changing much with this policy, as Fort Hood hasn't seen the drastic housing fluctuations.

Wellbeing Over Time (With vs Without Policy)

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

Air Force Pilot (Seattle, Washington)

Age: 39 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Current housing costs are really squeezing my budget. Adjustments would be helpful.

Wellbeing Over Time (With vs Without Policy)

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

Coast Guard Officer (Norfolk, Virginia)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 1.0 years

Commonness: 12/20

Statement of Opinion:

  • I think the policy seems fair, but it really won't change much in our area.

Wellbeing Over Time (With vs Without Policy)

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

Military Contractor (Anchorage, Alaska)

Age: 29 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • While not directly impacted, I'm curious to see if this policy affects housing market dynamics here indirectly.

Wellbeing Over Time (With vs Without Policy)

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

DOD Official (Washington D.C.)

Age: 36 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 4/20

Statement of Opinion:

  • My role allows me to see the broad benefits of such policies, though personally unaffected. It's critical for adjusting personnel logistics.

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 5 5
Year 20 5 5

Retired Military Spouse (Fort Bragg, North Carolina)

Age: 54 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 14/20

Statement of Opinion:

  • Policy seems targeted at current active-duty folks, and as a retiree on a fixed income, I remain unaffected.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $70000000)

Year 2: $55000000 (Low: $32000000, High: $75000000)

Year 3: $60000000 (Low: $35000000, High: $80000000)

Year 5: $0 (Low: $0, High: $0)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations