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The research using multiple-group path and factor analysis investigates impact of social marginality on social health. The research uses survey methods collecting data through questionnaire. Research census is people between ages 18 and 29 in Kermanshah and Javanroud cities in Kermanshah province. With intersection of 3 variables including religion, sex and city, there were generated 8 subgroups. Using AMOS software, differences among these subgroups were analyzed. Total sample analyzing demonstrates that independent variables explain 50 percent of dependent variable. Also multiple group analysis shows that measurement and structural model of research are different among 8 subgroups. Sex, religion and city moderate the model and cause differences in latent variables, causal paths factor loadings among 8 subgroups.