This paper critically examines the multidimensional poverty in Kano State using Alkire and Foster (2007) family of measures which provides an alternative measurement of multidimensional poverty. The method allows the identification of households as poor or otherwise using two steps analysis (i.e. the identification step and aggregation step). The paper also investigates the robustness of Alkire and Foster family of measures to change in poverty line and its sensitivity to change in weight for different dimensions. The paper further investigates the probability of household to be poor using logistic regression model. The results of the analysis are decomposed by location of residence (rural and urban). Results of the research in Kano State revealed that there is high level of poverty among the households. Poverty in the area cut across both social and economic deprivations. The most contributing factors to multidimensional poverty are sanitation (14.96%) and fuel used for cooking (14.59%). Others are child health (12.92%), housing condition (11.68%) and education of the household head (11.02%). This contribution differ between rural and urban areas. Results in the rural and urban areas showed that the resulting models are dissimilar and confirm the known fact that there is wider inequality between the urban and rural areas. The model is significant at 0.5 level as p-value is <0.000. Location of the household have higher odd ratio (9.03) of household to be poor. Hence, households in rural area have higher possibilities of being poor than their urban counterparts. The findings will be valuable for planning.