This toolkit can amplify and refine traditional approaches. These use technology to help homelessness-focused agencies become more effective on the ground (figure 3). (See the sidebar “‘Housing First’ and other policy-driven preventive mechanisms.”) A variety of job training and substance treatment programs can help to prevent a return to homelessness (stage 3).ĭigital and data analytics tools. The “housing first” strategy, which has garnered bipartisan support, is designed to focus on those at risk (stage 1) as well as those who are already homeless (stage 2). For example, eviction prevention grants and other legal and support services are offered to prevent homelessness in the first place. These include traditional approaches to reduce the number of people experiencing homelessness. Two sets of tools can help government leaders, policymakers, and social service agencies address homelessness at each of these stages: Most efforts to fight homelessness are focused on stage 2, given its urgency, but the other stages also should be addressed. Stage 3: People who have found a home but may need help to keep it.Stage 2: People who are currently homeless.Stage 1: People at risk of homelessness.Homelessness can be a result of wage stagnation, mental illness, lack of affordable housing, various forms of discrimination, lack of economic opportunities, addiction, and other such factors that have been explained in our article The homelessness paradox: Why do advanced economies still have people who live on the streets? Tackling homelessness in its entirety requires taking into account the three stages of homelessness: Traditional and emerging tools to address homelessness Thanks to these technologies, we can target resources for the homeless more effectively and can use predictive analytics to better assist those at risk of becoming homeless. This article focuses on the power of data analytics and digital technologies that can tackle homelessness, particularly in urban areas. These tools continue to be important, but today, their impact can be magnified by combining them with digital and data analytics tools. Traditionally, entities combatting homelessness-governments, nonprofits, and community service organizations-have applied a variety of policy and economic approaches to address homelessness. The good news is that technological advances and data insights are giving policy leaders new tools in the fight against homelessness. 3 (A CoC is a local or regional planning body organized under HUD.) Finally, homelessness isn’t distributed evenly (see figure 2): The Los Angeles and New York Continuums of Care (CoCs), for example, accounted for 23 percent of all homeless people in the nation in 2018. Second, homelessness in the United States primarily affects urban communities, with about 82 percent of the homeless population in urban areas. It reveals three key insights: First, despite a strong economy, homelessness inched up in 20 (see figure 1), reversing a previous downward trend. Subscribe to receive related content from Deloitte Insightsĭownload the Deloitte Insights and Dow Jones appĪlthough the annual homeless count has been criticized for possibly underestimating the scale of homelessness and disregarding large numbers of Americans on the verge of homelessness, 2 the HUD data can be useful for analyzing trends. Read the related article, The homelessness paradox
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