<p>Teacher turnover is a persistent challenge in early childhood education, with significant implications for program quality and child outcomes. This study provides the first longitudinal analysis of Head Start teacher turnover between 2010 and 2022, leveraging recent administrative data. While previous research has explored teacher retention in Head Start program, few studies have disaggregated retention by Head Start program type, and no studies have assessed the specific impact of COVID-19 on workforce stability. Using an Interrupted Time Series model, we identify a sharp and statistically significant increase in teacher turnover during the COVID-19 pandemic years. Early Head Start and American Indian Alaska Native Early Head Start programs experienced the highest turnover rates during the pandemic, underscoring disparities in workforce retention across program types. Additionally, while compensation remains the most frequently cited reason for departure in all program years, COVID-19 specific factors played a key role in exacerbating teacher turnover. By disaggregating trends across Head Start program types and identifying both persistent and pandemic-driven factors that influenced teacher departures, this study fills a critical gap in the literature. Findings highlight the need for targeted retention strategies, including competitive compensation, to stabilize the Head Start teacher workforce and ensure continuity of care for children and families.</p>