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Abundant research in the field of public management seeks to identify the factors that consistently shape the performance of public sector organizations. Much of this work highlights how variations in internal organizational dynamics such as staffing levels and the allocation of resources influence salient outputs and outcomes. Additionally, research on external pressures shows the importance of political and economic shocks in shaping organizational processes and service delivery. However, less is known regarding whether organizational factors that minimize the damage of such shocks extend to natural disasters even as these events become more prevalent. Further, it is unclear whether the factors that increase organizational resilience in the face of a natural disaster are the same across the fuzzy lines that exist across the public, private, and non-profit sectors. This study moves research on sectoral distinctions and organizational performance forward in integrating organizational and environmental data to examine how sector influences performance in the face of intensifying environmental challenges. More specifically, we draw on twenty three million observations from the Minimum Data Set (MDS) 3.0 and Nursing Home Care Compare data between 2011 and 2017 to investigate how increased exposure to extreme weather events affects quality of care in U.S. nursing homes. The findings of this research will provide an understanding of how extreme weather events affect service quality and efficiency in U.S. nursing homes within and across sectors, thereby enhancing theoretical and practical knowledge regarding performance, sectoral comparisons, and preparedness and adaptive capabilities in the face of external shocks.