We explore the bankfull width (W bf ) versus drainage area (A da ) relationship across a range of climatic and geologic environments and ask (1) is the relationship between ln(W bf ) and ln(A da ) best described by a linear function and (2) can a reliable relationship be developed for predicting W bf with A da as the only independent variable. The principal data set for this study was compiled from regional curve studies and other reports that represent 1018 sites (1 m W bf 110 m and 0.50 km 2 A da 22,000 km 2 ) in the continental United States. Two additional data sets were used for validation. After dividing the data into small, medium, and large-size basins which, respectfully, correspond to A da < 4.95 km 2 , 4.95 km 2 A da < 337 km 2 , and A da 337 km 2 , regression lines from each data set were compared using one-way analysis of covariance (ANCOVA). A second ANCOVA was performed to determine if mean annual precipitation (P) is an extraneous factor in the W bf versus A da relationship. The ANCOVA results reveal that using A da alone does not yield a reliable W bf versus A da relationship that is applicable across a wide range of environments and that P is a significant extraneous factor in the relationship. Considering data for very small basins (A da 0.49 km 2 ) and very large basins (A da 1.0 3 10 5 km 2 ) we conclude that a two-segment linear model is the most probable form of the ln(W bf ) versus ln(A da ) relationship. This study provides useful information for building complex multivariate models for predicting W bf .