Government grants have become an important source of income for many
households in South Africa. With the need to understand their impact, this study
used household level data to analyse determinants of household poverty amongst
households receiving government grants in a South Africa Township of
Bophelong. A Logistic regression was estimated based on this data with the
economic status (that is poor and non-poor) as the dependent variable and a set of
demographic variables as the explanatory variables. The results of the study show
that household size, gender, age employment status were important predictors of
household poverty. The age and the employment status of the head of the
household reduce the probability of being poor. The household size is associated
with an increased probability of being poor.