Stroke is a leading cause of long-term disability in the US, yet a feasible assessment measure with predictive value for components of the International Classification of Functioning, Disability, and Health (ICF) Core Set for Stroke is lacking. The purpose of the present study was to explore the predictive value of potential assessment measures on factors within each ICF component in stroke survivors. Demographic, anthropometric, blood-based biomarker, physical functioning, and Global Physical Activity Questionnaire data were collected on stroke survivors in the 2011-2018 NHANES cycles. Potential predictors (handgrip strength relative to weight, age, sex, race, education level, marital status, poverty ratio, stroke chronicity) of physical function, activities of daily living (ADLs), participation in social activities, metabolic syndrome, and meeting physical activity recommendations were evaluated using weighted linear and ordinal logistic regression. Relative handgrip strength was a significant predictor of physical function, difficulty participating in ADLs and social activities, and odds of meeting physical activity recommendations. As relative handgrip strength increased, these factors improved among stroke survivors. To decrease disability rates and optimize function among stroke survivors, the use of assessment measures like relative handgrip strength that may predict multiple ICF components is warranted.