Los Angeles County Tests Model to Predict Homelessness Risk

Cities across the U.S. are grappling with homelessness using varied approaches, including predictive analytics, policy referendums, and shifts in service models. In Los Angeles County, an experimental program uses statistical modeling to identify individuals at highest risk of homelessness and provide targeted financial assistance, aiming to maximize prevention resources. Meanwhile, cities like Sacramento face frustration from small business owners over the perceived lack of effective city response to growing homeless encampments and related crime. In Colorado, reports disagree on solutions, with some emphasizing the need for more affordable housing and others focusing on different data interpretations. Morgantown, West Virginia, which previously saw success in reducing homelessness through coordinated services, is now considering a public camping ban amid renewed concerns about crime and public safety, highlighting a shift in strategy as the issue resurges. These differing methods underscore the complexity of addressing homelessness and the ongoing debate over prevention versus enforcement and housing-first versus work-first solutions.