Survey data on perceptions of water scarcity and potable reuse from water utility customers in Albuquerque, New...

The data presented in this article were collected using a large-scale public survey distributed through the mail to a random sample of 4000 water utility residential account holders in Albuquerque, New Mexico, USA. The survey collected data on a variety of water-related topics, including water scarcity, climate change, water use at home, perceptions of water sources and water quality, conservation habits, level of acceptance of two potable water reuse scenarios, and level of trust in a variety of entities. The survey also collected demographic data from respondents. Account holders received one of four survey versions, three of which provided different sets of educational material to test different motivations for accepting potable water reuse, and one provided no educational material. The survey was designed and administered using the Tailored Design Method, which involved focus groups, individual debriefing sessions, and a pre-test with members of the sample population to refine the survey instrument, and included a system of five contacts mailed out over a period of several months to maximize response rate. Mail-in and electronic response options were available, and the response rate was 46% (n = 1831). The data were compiled using Survey Monkey and organized using Microsoft Excel and RStudio. The data set featured in this article provides raw survey data plus additional variables created by grouping and consolidating answer options in the raw data. This is the first and most comprehensive set of data known to the authors on public perceptions of water resources and reuse in an arid inland community, and the authors have published open access papers based on this data set, which are linked to this paper. Water managers, planners, engineers, and utilities may be interested in using the data as a point of comparison for their own study on community knowledge of water resources and acceptance of water reuse or in examining the data for relationships not yet explored in the literature.