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Browsing CUPE Publications by Subject "Community development"
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Item 2013 Point-in-Time Count: Identifying the Most Vulnerable Homeless in Indianapolis(IUPUI (Campus). Center for Urban Policy and the Environment, 2013-06) Littlepage, Laura; Rice, JenniferOn January 29, 2013, the Indiana University Public Policy Institute (PPI) and the Coalition for Homelessness Intervention and Prevention (CHIP) conducted a point-in- time count of persons experiencing homelessness in Marion County. Although it is only required biennially by the U.S. Department of Housing and Urban Development (HUD), CHIP conducts this count annually. The data collected from the point-in-time counts are used by service providers, policy makers, and community funders to inform planning and program development. This issue brief discusses the details and background of the count as well as findings and thoughts for policymakers and service providers concerned with improving services for the Indianapolis community’s homeless population.Item Using Data to Market Urban Neighborhoods(IUPUI (Campus). Center for Urban Policy and the Environment, 2012-03) Klacik, DrewSupported by funding from the Central Indiana Community Foundation, this report is an initial exploration of the potential uses of ESRI Tapestry data for advocates of urban neighborhoods in Marion County. Do the ESRI Tapestry data give nonprofits and public sector organizations access to the same market-driven data predominately used by for-profit firms to determine the best locations for stores, restaurants, and residential subdivisions? The analytical focus is on the households within three zip codes selected by the City Gallery: Indy's Urban Living Center in an effort to develop a market-based understanding of those who currently reside in these zip codes, as well as identifying clusters of suburban households located in surrounding counties that could be attracted to the study area. In addition, the study allows a better understanding of the data and the development of an analytical framework that can be applied to aid the marketing of any urban neighborhoods. Readers are urged to think creatively about other public and not-for-profit applications for market-driven data used by the private sector.