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Poverty is a multidimensional phenomenon hence it requires a multipronged approach in terms of analysis and solutions. This paper investigated the drivers of multidimensional poverty among households in rural Limpopo province, South Africa. Primary data were collected from a random sample of 407 households in Sekhukhune and Capricorn District Municipality of rural Limpopo Province, South Africa. The sampling methods used included purposive and simple random sampling. While descriptive statistics was used to profile households' socioeconomic characteristics, the Alkire-Foster methodology was employed to analyse multidimensional poverty. The logistic regression model was also used to analyse the drivers of multidimensional poverty in the study area. The results of data analysis revealed that the incidence of multidimensional poverty was high among the households. The results also indicated that employment, sanitation type, type of fuel for heat and cooking, and years of schooling contributed to the Multidimensional Poverty Index (MPI) in the study area. The results further revealed that the gender of the household head, years of schooling, association and cooperative membership, access to grants, and income influence the incidence of multidimensional poverty. The paper concluded that multidimensional poverty spread across both the income poor and non-income poor as the majority of them were deprived of sanitation, the type of fuel used for heating, and asset ownership. Improved sanitation system and electricity subsidies especially in the winter to access clean fuel for heat, could minimise multidimensional poverty in the study area. [ABSTRACT FROM AUTHOR]