The objective of this study was to examine differences in tap water consumption and perceptions of bottle versus tap water safety for Hispanics and non-Hispanic whites, as well as associations with other demographic characteristics. Data are from the Santa Clara County, California, Dietary Practices Survey (2011; N = 306). We used logistic regression to examine associations between demographic characteristics and 1) perceptions that bottled water is safer than tap and 2) primarily consuming tap water. Hispanics were less likely than non-Hispanic whites to primarily drink tap water (OR = 0.33; 95% CI, 0.11–0.99), although there was no significant difference in perceptions that bottled water is safer between these groups (OR = 0.50; 95% CI, 0.11–2.27). Hispanics may be an important population for interventions promoting tap water consumption.

Because smoking rates are high among Vietnamese men, we used data from the 2007–2008 California Vietnamese Adult Tobacco Use Survey to estimate secondhand smoke exposure and associated risk factors among Vietnamese nonsmokers. Thirty percent of nonsmokers were exposed to secondhand smoke (SHS) at home, 8% at work, 52% in bars, and 67% on a college campus. At home, odds of SHS exposure were greater for women than for men and for adults aged less than 40 years than for older adults. Odds of SHS exposure were higher for former smokers at work (among employed men) and among men when in bars. Future interventions should consider sex, age, and smoking history in efforts to prevent SHS exposure among Vietnamese adults.

Data on small geographic areas that can be easily accessed and updated have become essential for targeting public health programs and services. Disaggregating data at the sub-county or sub-city level has the potential to reveal disparities not otherwise evident for large geographies. As important as such data are, the methods to produce data on small geographic areas are challenging and resource-intensive, and little description and analysis of such tools exists. We describe a tool--neighborhood profiles--that provides a way for public health agencies and their partners to define neighborhood boundaries, select indicators, and disseminate data in a user-friendly format. We also share lessons learned, including the importance of involving planning departments in boundary definition to ensure relevance to the community, selecting a framework that links indicators to broader conceptual categories that can highlight disparities, and forming a team with the diverse skills necessary for planning and developing the profiles.