The main objective of this study is to investigate the determinants of households' pork consumption using a logistic regression procedure. The model was initially fitted with ten variables, selected from factors identified by precious studies, that affect meat consumption in South Africa. Six of these variables were found to be significant at the 10 per cent significance level and all had the expected signs. These include household monthly income, current household monthly expenditure on meat, relative price of pork, preference for value-added pork products, prices of substitutes (the most preferred household meat type), and response of household to change in pork quality. The result obtained was further analyzed to compute partial effects and to conduct simulations for significant factors. Analysis of partial effects revealed that quality assurance and value-adding lead to much greater probability of pork consumption by households. Simulation conducted on the base category of pork-consuming households revealed that quality assurance and value-adding have relatively high potential to almost double and more than double household pork consumption respectively.