If state-level patterns are found to be stable and reliable, they could inform both policy initiatives and clinical risk assessment. Meaningful comparisons between states can be made only after adjusting for relevant differences, but each state's data serve as an internal control, to mark change and infer the impact of prevention efforts. Regional rate variation may also prove to be clinically relevant when assessing the risk posed by suicidal patients.