The health-promoting lifestyles of blue-collar, skilled trade, and white-collar workers were examined. Specific purposes included determining differences in health-promoting behaviors, especially according to worker category, as well as ethnic identification, age, gender, education, and marital status. A convenience sample of 638 workers in a midwestern automotive components plant completed the Health-Promoting Lifestyle Profile (HPLP) and demographics questionnaire. In a multivariate analysis of variance (MANOVA) including all demographic variables, significant differences were found in the mean scores on subscales of the HPLP by job category (2 subscales), age (3), gender (2), and education (4). Prior to including education in the MANOVA, significant differences were found by job category on 5 subscales of the HPLP. The effects of education eliminated the majority of the effects of job category.