This paper analyses the socio-economic determinants of cigarette consumption in Lesotho, with a special focus on differentials in smoking participation between male and female populations. To execute its objective, the paper employed binary logistic regression and individual data from the 2018 Multiple Indicator Cluster Survey. Binary logistic regression is a class of regression conducted when the dependent variable in a regression model is discrete, taking on two or more possible values. The results indicate that adult men were less likely to smoke cigarettes compared to male youth, furthermore, adult women were more likely to smoke cigarettes compared to female youth, on the other hand, men with higher education were less likely to smoke cigarettes compared to those with primary or no education, while women with secondary education were less likely to use cigarette than those who had primary or no education. Moreover, men living in Maseru and Leribe districts were significantly more likely to consume cigarettes than men from any other district in Lesotho.