This brief includes findings from our analyses of Head Start Program Information Report (PIR) data that illustrate national trends in teacher and home visitor turnover before and after the COVID-19 pandemic. We first present results from our descriptive analyses of changes over time. We then turn to our multivariate regression analysis, which examined program- and community-level characteristics associated with staff turnover during the 2021–22 program year. For these analyses, we merged county-level data from the Centers for Disease Control and Prevention on the percentage of the COVID-19-vaccine-eligible population fully vaccinated with data from the American Community Survey (ACS) on urban or rural status. We also merged ACS data at the zip-code level on the local poverty rate with data on the median earnings for female workers. These merged variables captured community characteristics that we hypothesized may shape workplace experiences and be associated with staff turnover. (author abstract)