A plethora of research in recent years has been devoted to estimating consumer demand for genetically modified food, an important piece of information needed to create appropriate public policy. To examine this body of work, a meta-analysis was conducted of 25 studies that, in aggregate, report 57 valuations for GM food. Findings indicate as much as 89% of the variation in existing value estimates for genetically modified food can be explained by an econometric model that controls for (a) the characteristics of the sample of consumers studied, (b) the method for eliciting consumers' valuation, and (c) characteristics of the food being valued. Each of these factors has a statistically significant effect on estimated premiums for non-GM food. Results of this study effectively summarize the extant literature on consumer demand for genetically modified food and permit the creation of some stylized facts that are not conditional on the results of one particular study. This paper also illustrates the effect of methodological choices on valuation estimates and reports a model which allows researchers and policy makers to quickly generate valuation measures for use in marketing or cost benefit analysis.