The relationship between water quality and population health outcomes remains difficult to quantify due to a distinct lack of paired health and drinking water data; high-quality data on water quality at the household level is lacking, federal and state data on water quality is plagued by data limitations, and health data is generally too geographically unspecific for linkages with water quality. These issues are even greater in rural areas due to the rural reliance on domestic private wells–that are generally entirely unregulated, the limited workforce and capacity of rural water systems, the pollution inherent to rural water sources, and the data suppression often applied to rural areas. In this project we aim to better integrate environmental data with health data via primary data collection. Using a novel survey method, we collected linked tap water samples and health survey data, to get at the associations between drinking water and health. The survey targeted 2400 households in Kansas and Oklahoma with a package containing both a water collection vial and a paper survey. The surveys and water samples were then returned via mail, where the water samples were tested for a suite of health-related toxicants and linked with survey responses. Here, we will report descriptive statistics and initial findings from the study, where we aim to demonstrate the value of linking environmental and sociological data, using innovative survey methods.