A 2017 cross-sectional dataset documents municipal supportive housing policy choices and associated political factors for 232 U.S. municipalities. It was developed by Charley E. Willison of Harvard University Press, covering 66 percent of all Continuums of Care that receive federal homeless funding. The data includes measures of local homeless policies, political indicators, demographic characteristics, and economic factors.
Use Cases
- Modeling municipal policy adoption based on local political indicators like policy conservatism and governmental structure.
- Analyzing correlations between local demographic or economic factors and supportive housing policy choices.
- Comparing homelessness policy approaches across different Continuums of Care and municipal structures.
- Investigating the relationship between other social policies, such as Sanctuary City status, and supportive housing measures.
Strengths
- Covers 232 municipalities, representing 66 percent of all U.S. Continuums of Care.
- Includes multiple policy and political dimensions: local homeless policies, political indicators, demographic, and economic factors.
- Sample is constructed to control for cities directly receiving federal homeless funding via HUD's 2016 CoC database.
Limitations
- Row count, column names, and sample data are unknown, limiting suitability assessment.
- Last update date is unknown; freshness unverified.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Harvard University Press
- Collection Method
- Municipalities were selected based on inclusion in the HUD 2016 Point in Time count survey and the HUD 2016 CoC database.
- Time Range
- 2017
- Geography
- United States (232 municipalities across 354 municipal Continuums of Care)