Significance. The purpose of the study was to identify support for a local ordinance which would ban smoking in public buildings. Smoking is the most important lifestyle risk factor for heart disease and the leading cause of cancer death. Research findings clearly show that risks are also substantially increased for non-smokers exposed to environmental tobacco smoke. An ordinance to ban smoking in public buildings could have a significant impact on public health, but backers of the ordinance must be able to demonstrate public support in order to gain the support of local politicians. Design. Subjects were city residents selected systematically from the names listed in the local telephone directory. The testing instrument was a 10 item questionnaire designed to elicit information regarding the subjects’ attitudes and beliefs regarding environmental tobacco smoke, Internal consistency (Cronbach’s alpha) was .86. Subjects were contacted by telephone. Interviews were completed with 300 subjects. Data were analyzed using chi-square and logistic regression. Over 60 percent of the respondents indicated support for a city ordinance making all enclosed public places smoke free. Those who supported the ordinance indicated they were more likely to frequent non-smoking restaurants, to frequent non-smoking bars, to vote for a candidate who favored the ordinance, to agree that kids shouldn’t be exposed to smoke in restaurants, to agree that people with breathing problems should be protected, to agree that a city ordinance is needed to protect non-smokers from the hazards of environmental tobacco smoke, to indicate that second hand smoke is harmful to health, to agree that the government has a responsibility to promote public health. Responses to the above items and support for the ordinance were not independent of smoking status. Each comparison was statistically significant (p <.0001). To determine if a set of variables could be identified that distinguished between those who supported the ordinance and those who did not, data were analyzed using logistic regression. Results indicated that the model was predictive of support for the ordinance (Chi square=210.71, df=10, p<.0001). This set of variables was strongly predictive of support for the ordinance (concordant=95.1%). The study indicated respondents held a negative view of environmental tobacco smoke and were strong supporters of the ordinance, especially non-smokers. Results are being used as part of an effort to pass a city ordinance to ban smoking in restaurants and other public buildings.