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Climate in a given location influences people's housing decisions, and changes in climate may affect these decisions in ways that alter our understanding of desirable locations. This study examines the potential sensitivity of future housing prices in the United States to changes in temperature, precipitation, and humidity by developing a hedonic regression model of the relationship between climate variables and housing prices and exploring implications of different climate futures for the amenity value of climate in these prices. The model shows a significant relationship between housing prices in urban areas and certain climate variables. The study then examines the sensitivity of the amenity value of climate to future climate scenarios. Results suggest that, nationally, climate change represents a disamenity, particularly in central-to-southeastern states. However, detailed housing prices vary spatially and among scenarios. Seasonal variation in temperature, including the relative magnitudes of the change in January and July temperatures, is a key determinant of housing price change, contributing to variation across both climate scenarios and geographic location.

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