A method for utilizing human rib biomechanical data to understand and predict whole thoracic response has not been established. Frontal thoracic impacts were conducted on five 50th percentile male PMHS in intact, denuded, and eviscerated states with chest compression limited to ~20%. Isolated mid-level ribs from those PMHS were tested to failure. A common link between all steps of the hierarchical testing was the measurement of strain, therefore strain mapping was used to connect individual rib tests and eviscerated thoracic response, as this was the largest gap to quantify. A piecewise model was then developed to estimate the eviscerated response using a second order mass-damping-spring model along with the summed strain-force model to characterize the main response, as obtained from strain mapping individual rib tests and the same ribs in the eviscerated tests. Average effective mass and stiffness were quantified to be 14.24 kg and 9.23 N/mm respectively, along with average scale factors to account for the components of the eviscerated thorax not quantified by the individual rib tests. Linear regressions of quantified parameters and kinematics with subject mass were incorporated into the model to improve the estimation capabilities of predicting eviscerated response from one rib. Finally, soft tissue and viscera responses were quantified and added to the estimated eviscerated response to obtain predicted denuded and intact thoracic responses from one rib. The overall estimated intact response from one rib matched the magnitudes observed in experimental intact responses. While this model was generally successful in predicting the thoracic responses from one rib, the quantified parameters and corridor techniques can only be used confidently in predicting the 50th percentile male demographic responses. Further expansion of all aspects of this developed model and additional hierarchical testing of other demographics can aid in generating whole thoracic response from a single rib test, which will be especially valuable for application to vulnerable populations. The overall goal is to understand and predict whole thoracic response across the population, so that all occupants are better protected in motor vehicle crashes.