This study investigated human error in non-aviation industries utilizing the Human Factors Classification and Analysis System [Human Factors Analysis and Classification System] (HFACS). The purpose of this study was to identify associations between active errors and latent conditions beyond the aviation industry using a taxonomy that systemically identifies both active errors and latent conditions at all levels of an organization. Doing so could potentially allow for the shifting of intervention target areas from active errors to latent conditions. Seven data sources representing five different non-aviation industry types were analyzed using HFACS methodology and causal category associations were identified. Among the various significant causal factor associations, violations were determined be associated with certain causal categories at the unsafe supervision tier. Additionally, crew resource management causal factors were found to be associated with both skill-based and decision errors. Associations among the HFACS causal categories yield useful information when determining targeted interventions.