Abstract: Background: Increasingly high male mortality hinders progress towards improving overall life expectancy. Data Source & Method: The study used data from South Africa's 2016 Community Survey to examine the household-level determinants of male mortality. Chi square tests and binary logistic regression were used. Results: Out of the 30,022 deaths in the sample, males comprised 52.8%. Male deaths were high at all ages except for age group 75 + years. Odds of male mortality were higher (OR:2.08; CI: I .98-2. 18) among those that lived in female headed households or White-headed households (OR: I .50;CI: I .29- 1 .73). There was less Iil‹eIihood of male deaths (OR:0.9 I ;CI:0.87-0.97) in households that were not involved in agriculture. Conclusion: Overall, mortality differentials were largely explained by household demographics including age, race and gender dynamics of heads of households. We recommend a multi-sectoral policy and programme implementation that promotes deliberate inclusiveness of household characteristics in their delivery. Keywords: South Africa, mortality, longevity, logistic regression, households