This paper describes a meta-analysis conducted to estimate relationships between the nonuse components of WTP for surface water quality improvements and a combination of resource, context, and study design attributes, where these attributes include estimated use values for identical improvements. Results are contrasted across four different statistical approaches: ordinary least squares, weighted least squares, multilevel models, and simultaneous equation models. Findings illustrate robust, systematic relationships between a variety of attributes and estimated nonuse WTP, in addition to a systematic empirical relationship between use and nonuse values. Results are promising with regard to the ability of meta-analysis to synthesize information regarding nonuse WTP for water quality improvements and to reveal relationships unapparent from individual stated preference models.