There are currently over 200,000 individuals with spinal cord injury (SCI) in the United States, and approximately 14,000 new SCI occur each year. As with the overall population, cardiovascular disease (CVD) is the leading cause of death among individuals with SCI. Epidemiological research has shown obesity to be a major risk factor for developing CVD and obesity is prevalent in both sedentary and physically active people with SCI. This study attempted validation of existing skinfold (SF) body composition (BC) equations and developed a new bodyfat (BF) predication equation using the SF technique focused for individuals with SCI. In this study, 57 white (n=41) and Hispanic (n=16) males with SCI, who ranged from 18 to 73 years of age (M=41.7 ± 14.07), were assessed using Dual energy x-ray absorptiometry (DXA) as the criterion measure and SF measures. Eleven standardized SF sites were measured and entered, along with demographic information, as possible predictors for regression analysis. Existing SF BC prediction equations were found to be unacceptable for predicting %BF, therefore, a more acceptable equation was developed and validated, %BF=7.721 + .284 * (Chin + Biceps + Calf)* Age (R2=.77, SEE=3.66). A valid clinical method of determining BC will enable health professionals to identify clients with SCI who are at-risk for disease and document BC changes due to exercise. Body composition measures can also be used by medical and health professionals to monitor changes in fat and lean body mass resulting from SCI, this could lead to the development of more effective nutrition and exercise intervention strategies to counteract the increase of fat mass associated with SCI.