A household-level parcel dataset of hurricane adaptation and recovery

Abstract Post-hurricane housing recovery is a longitudinal process through which household repair and sale decisions accumulate to shape community recovery trajectories. Yet these decisions have not been systematically traced at parcel-level, longitudinal, and cross-event scales because doing so requires linking property damage to subsequent repair and sale events across disasters. We present the Hurricane Adaptation and Recovery Parcel (HARP) dataset for Hurricanes Harvey (2017), Ida (2021), and Ian (2022). HARP links geocoded single-family residential parcels to Census Block Groups and integrates parcel attributes, damage assessments, repair records, property transactions, and community-level socioeconomic covariates into monthly recovery sequences. The dataset covers 1,016,927 parcels for Harvey, 121,130 for Ida, and 202,926 for Ian. HARP also supplements official damage records with aerial-imagery-derived assessments and provides buyer-type labels and neighborhood influence networks. This dataset enables large-scale, cross-event, and parcel-level understanding of how individual housing conditions, household conditions, building damage, community resources, and neighborhood influences jointly reshape household-level and community-level housing recovery trajectories, supporting future research and policy designs to enhance coastal resilience.