[영문]Objectives. Tobacco use research has often assumed “average” effects acrossplace, race, and socioeconomic position. We explored and mapped the variationin smoking prevalence for racial/ethnic groups by gender and state afteradjusting for demographic factors.Methods. We executed a cross-sectional, weighted, two-level multilevelmultiple regression analysis (individuals in states), with current smoking asthe outcome, using the 1995?1996 Current Population Survey Tobacco UseSupplement, for non-Hispanic (NH) whites, NH blacks, and Hispanics. We alsocalculated adjusted smoking prevalence, 95% confidence intervals, Spearmancorrelations, and state residual-based maps to examine state patterns.Results. We found different smoking patterns for each racial group. Blackwomen’s smoking rates were markedly lower than the national subgroup ratein six clustered states in the deep South. Smoking rates for whites were higherthan the subgroup national rate in several Great Lakes states, Texas, Nevada,and North Carolina. For white women, several rural Midwest states displayedlower-than-expected smoking rates (Idaho, Utah, South Dakota, and Nebraska).We documented positive correlations for smoking prevalence between menand women within each racial group, but not between racial groups, indicatinga race-specific pattern of smoking. We found that state tobacco variables (taxationand agriculture) did not account for remaining state smoking variance afterinclusion of demographic variables.Conclusion. Multilevel modeling may enhance surveillance of tobacco usepatterns. Focusing on race-specific state smoking patterns may illuminatewhy racial/ethnic minority groups exhibit lower smoking prevalence comparedto their white counterparts, by examining context of smoking that may berace-specific.