The data analysis indicated that travel distance, user age, and user income level are important determinants of use of trout streams. These variables were incorporated into regression analysis to develop a use-prediction model. This use-prediction model was used to determine predicted use levels of sample streams. The predicted use levels combined with travel costs and expenditures on new fishing equipment were used to derive a statistical estimate of the demand schedules for the sample streams. These statistical demand curves were subjected to consumer surplus procedures to determine the values of the sample streams.