The US organic milk food system has several interesting characteristics. The product has been enthusiastically embraced by consumers, resulting in increased retail sales of organic milk. The processing sector is oligopolistic, with three dominant firms. At the farm level, the definition and enforcement of regulations relating to access to pasture and transitioning livestock have been the subject of controversy and slow to change to meet the needs of the sector. This paper uses two sources of the United States Department of Agriculture (USDA) data (Agricultural Resource Management Survey and Organic Survey) and other evidence to trace changes in the discourse about organic dairy, the market, processing and farm sector, along with the evolution of the regulation. Concern over inconsistencies in the language and enforcement of the regulation at the farm level continued throughout the 30-year period. We find evidence of strong and continued growth of the organic dairy sector at the farm level, among all regions of the US. The amount of pasture available per cow increased as the access to outdoor rules tightened. In 2016 many dairies failed to meet the 30% threshold for feed from grazing. Another key finding, which may underlie the internal debates, is that the profitability of large-scale organic dairies in the West substantially increased in 2016. The organic dairies in other regions did not experience this improvement, although their profitability remained similar to prior years. While there is evidence of problems with the regulation, we note that the structure of the processing sector is an important but overlooked dimension. Thus, additional research into the farmer–processor relationship is needed to improve our understanding of the dynamics of the organic dairy farm sector.

USDA uses the concept of “publish-ability” rather than statistical reliability of an estimate for quality validation of USDA estimates, which is solely based on the sample size and the coefficient of variation (CV). We demonstrate conceptually how the reliability of the sample mean can be tested by estimating the upper and lower bounds of the confidence interval for an unknown population mean using the CV. However, the reliability test for the sample mean can be made only under the normality assumption. USDA multiple-way Agricultural Resource Management Survey (ARMS) estimates are used to illustrate the relative measure of precision for sample-based estimators.

Data from the 2006 Agricultural Resource Management Survey and multivariate regression procedures are used to examine the role of human capital in impacting the incomes of farm households. The paper uses an “adjusted” concept of income where government payments are subtracted from total household income thus allowing for the utilization of government payments as a potential control variable in the regression models. Findings indicate a significant and positive role for higher education except for farm households at the very lower and upper ends of the income distribution.

Recent survey data are examined to improve current understanding of the factors that help to determine the value of information reported on a website that serves as the centerpiece of the USDA's “Soybean Rust Integrated Pest Management—Pest Information Platform for Extension and Education.” Respondents’ initial beliefs about their chances of experiencing a rust outbreak are shown to affect the likelihood that soybean producers will visit the website and change their management of fungicide use as a result.