To determine how best to reduce homelessness, communities must know how to prioritize and target resources to reduce inflow, maximize homeless system performance, and increase outflow to housing. We help clients identify key characteristics of the housing market at two distinct levels to help inform system planning and understand housing needs.
We identify the aggregate supply and demand for rental housing and model future projections, then identify the gap in affordable housing units by income level and locale. We overlay these results with information about income level and homeless population numbers to develop an understanding of the homeless system interventions most likely to help reduce homelessness in that particular community.
Insights from these analyses can help guide the design and gauge the impact of specific local strategies to address homelessness. For example, San Mateo County, California is a community we have partnered with to assist them in the redesign and delivery of their homeless system over the last several years. This map shows one component of their community context, homeless population information and availability of rental housing for extremely low income households.
Additional insights from San Mateo County were presented at the National Alliance to End Homelessness conference on February 20, 2020.