Local Supportive Housing Policy by Continuum of Care

A novel and comprehensive cross-sectional dataset (2017) was developed to document and measure municipal supportive housing policy choices and key political factors associated with these choices. The dataset is comprised of 232 municipalities of 354 municipal continuums of care (CoCs) from the HUD 2016 CoC database in order to control for cities directly receiving federal homeless funding. The final sample accounts for 66 percent of all CoCs in the U.S. Municipalities were chosen based on their inclusion in the HUD 2016 Point in Time (PIT) count survey, therefore selecting municipalities with a CoC that are receiving federal funding for homelessness solutions. This is a comprehensive, cross-sectional dataset of municipalities across the United States that includes measures of local homeless policies; measures of local political indicators including local policy conservatism, fragmentation, municipal governmental structure; other relevant social policies (Sanctuary City status, Medicaid expansion, state level supportive housing policy); local demographic characteristics; local economic factors.本研究构建了一套新颖且全面的横断面数据集（2017年），用于记录并量化美国城市支持性住房政策选择，以及与这些选择相关的核心政治因素。本数据集从美国住房与城市发展部（U.S. Department of Housing and Urban Development, HUD）2016年连续照料体系（Continuum of Care, CoC）数据库中，选取354个城市连续照料体系内的232个城市，以控制直接获得联邦无家可归者资助的城市样本偏差。最终样本覆盖全美66%的连续照料体系。样本城市的选取依据为其纳入HUD 2016年时点普查（Point in Time, PIT）调查范围，即选取所有设有连续照料体系且获得联邦无家可归者解决方案资助的城市。本数据集为覆盖全美城市的综合性横断面数据集，涵盖以下多维度指标：当地无家可归者相关政策、本地政治指标（包括地方政策保守主义程度、政治碎片化程度、城市政府治理结构）、其他相关社会政策（避难城市身份、医疗补助扩张、州级支持性住房政策）、本地人口统计学特征以及地方经济因素。