The COVID-19 pandemic has contributed to an escalating housing crisis in the United States. After the onset of pandemic-related lockdowns in March of 2020, eviction morato-riums were swiftly enacted, enabling millions of tenants in rental residences to remain in their homes while unemployment surged and families lacked the resources to pay rent. With the majority of these moratoriums scheduled to lift by the end of 2021, many tenants will face imminent eviction. This paper outlines the development of a multivariable, time-series regression model that can be used to forecast eviction rates as a function of changing economic conditions in a given geographical area and time period. When the model is applied to New Jersey in the current time period, the results reveal a buildup of evictions, which upon the lifting of the eviction moratorium will significantly intensify the existing housing insecurity crisis.