The document first explains the three integrative analytic measures involved in a Box-Jenkins or ARIMA (Autoregressive Integrated Moving Average) time series: identification, estimation, and diagnosis. If a tentative model satisfies all diagnostic criteria, it is accepted as the final forecasting model for a time series. However, metadiagnosis procedures must be performed. In this study, this consisted of checking each series for a 'best' Box-Cox transformation and adding extra parameters to the tentative model. The final ARIMA forecasting models for the Alaska and Oregon time series consisted of three conceptually distinct components: seasonality, trend, and error or noise. The report presents models and monthly forecasts for violent and nonviolent or property crime for 96 Alaska and Oregon crime and arrest time series. Crime forecasts for Alaska cover statewide totals, Anchorage, Fairbanks, Juneau, and the rest of the State. Forecasts for Oregon are given for the entire State and seven regions. Forecasts also are broken down by three categories: over 18, under 18, and nonwhite.