Social, economic, violence, political, and gun access predictors of suicide and gun suicide were examined via sociological autopsy. The model predicting suicide rates overall had the best results, X[superscript 2](9, N = 50) = 5.279 (CMIN, the goodness of fit statistic that represents the minimum discrepancy between the unrestricted sample covariance matrix and the restricted covariance matrix) p = 0.809, [the goodness of fit statistic that represents the minimum discrepancy between the unrestricted sample covariance matrix and the restricted covariance matrix] indicating an excellent fit of the data and theoretical model. The model explained 76% of the variance in state suicide rates and was a significantly better predictor than one could expect by chance, F(6,43) = 22.889, p less than 0.001). All path coefficients were significant predictors of suicide with the exception of violence climate, which was not included. This study contributes to the theoretical knowledge by adding a comprehensive framework of analysis and model useful for prevention.