Poverty means different things to different people. There are many differentapproaches to defining poverty but the basic needs approach is commonly applied,particularly in developingcountries where a bigger majority of the people struggleto attain a predetermined minimum level of income to satisfy their basic needs. Inthis study a survey questionnaire was used to collect data from a sample of 300households in Bophelong township in Gauteng province during the second half of2013. The aim of this article is to evaluate the impact that certain household andindividual characteristics (size of the household, gender of the head of thehousehold, etc.) can have in determining the poverty status of a household. Abinary logistic regression was used to analyse the data. The results show that theeducation level of the head of the household, his/her employment status and agewere inversely related to poverty status. Improvements in the education level andincreases in the age of the head of the household were found to decrease theprobability of a household being categorised as poor. Households in which thehead of the household is employed have a lower probability of being categorisedas poor.