Severe Housing Cost Burden: Percentage of households that spend 50% or more of their household income on housing
Current Value
13%
Definition
Action Plan
Collaboration and Service Improvement:
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Support implementation of Keys to the Valley strategy recommendations to increase the number of housing units across the Upper Valley, with a special focus on equity.
Education:
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Continue VC’ Business Leaders Breakfast on Housing (1x/year) to educate business leaders on economic impact of the current housing crisis.
Advocacy:
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Host Bi-State Legislative Breakfast every two years to engage state policy makers in discussion of local health priorities.
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Educate policy makers and others about the health impacts of the current housing crisis.
Equity:
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Educate policy makers and others about the health impacts of the current housing crisis on low-income and other marginalized groups.
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Improve referral networks and capacity to support vulnerable populations in the places where they live.
Why Is This Important?
Households that spend over 50% of their income on housing are considered severely cost-burdened. These households often need to make sacrifices on other necessities, including nutritious food, health care, and utilities. Thus, the health outcomes of residents of severely cost-burdened households tend to be worse than those of the general population. The majority of severely cost-burdened households are occupied by renters. Increasing the availability of public housing options has been proven to decrease the number of cost-burdened households.
Partnerships
- Vital Communities (VC)
- Regional Planning Commissions (RPCs)
- Twin Pines Housing
- Lebanon Housing Authority
- Windham & Windsor Housing Trust
- Springfield Housing Authority
- Public Health Council (PHC)
Data Explanations
Data Overview: The US Census Bureau releases the American Community Survey (ACS) yearly. The ACS has a smaller reach than the decennial census, but asks similar questions to obtain yearly data.
Limitations: Five years of severe housing cost burden data are pooled together for each data point. Utilizing multiple years of increases data accuracy, but makes ascertaining short-term trends more challenging.