This study explored the COVID-19 pandemic ’ s impacts on domestic violence (DV) with the following research questions : 1) Did DV occurring during the pandemic differ on certain variables from cases occurring on a typical day the previous year? 2) Did DV occurring after the implementation of shelter-in-place orders differ (on these same variables) from cases occurring prior to shelter-in-place orders? Two logistic regression models were developed to predict DV case differences before and during the pandemic . DV reports (N = 4618) were collected from the Chicago Police Department . Cases from March 2019 and March 2020 were analyzed based on multiple variables . One model was set to predict case differences since the pandemic began, and another model was set to predict case differences during the shelter-in-place period later that month . Both models were significant with multiple significant predictors . During the pandemic period, cases with arrests were 20% less likely to have occurred, and cases at residential locations were 22% more likely to have occurred . During the shelter-in-place period, cases at residential locations were 64% more likely to have occurred, and cases with child victims were 67% less likely to have occurred . This study offers a rapid analysis of DV case differences since the pandemic and shelter-in-place began . Additional variables and data sources could improve model explanatory power . Research, policy, and practice in this area must pivot to focus on protecting children whose access to mandated reporters has decreased and moving victims out of dangerous living situations into safe spaces.