Purpose: To develop prognostic models and equations for predicting participation at six months after stroke. Methods: This European prospective cohort study recruited 532 consecutive patients from four rehabilitation centers. Participation was assessed at six months after stroke with the Sickness Impact Profile (SIP), which consists of a physical, psychosocial and independent dimension. Twenty-six independent variables on admission to the rehabilitation center and 13 additional variables measured at two months post stroke were included in the analysis. A multiple logistic regression analysis was conducted predicting good participation (SIP520%). Sensitivity, specificity, positive and negative predictive values were calculated. Results: The prognostic models for the three dimensions provided independent predictors containing demographics, complications, diagnostic, and disability measures. Sensitivity ranged from 64-84%, specificity 66-85%, positive predictive value 70-78%, and negative predictive value 76-87%. Barthel Index on admission, Euroqol Health State at two months and Caregiver Strain Index at two months were retained in all prediction models. Conclusions: A combination of variables was found in the prognostic models of the three dimensions of the SIP at six months after stroke. Already from the early beginning of stroke rehabilitation it seems important to focus on personal activities of daily living as well as caregivers' strain.