Adesiyan Olusegun Israel and Abdul Hakim
Various Nigerian successive governments have recognized the need to tame poverty. This prompted varieties of anti-poverty poverty programmes, but unfortunately poverty situation is still at alarming rate, especially in the rural domains. It is on this note, that this study argued for the need to measure poverty in a multidimensional manner, as against the commonly monetary poverty measurements. Primary data from farm household was used for collection of information for the study. Alkire and Foster methods was used for the headcounts ratios, adjustment headcounts as well as poverty intensity. Probit regression was employed to assess variables that predict poverty in the study areas. Results of the study showed that about 82% are multidimensionally poor, while money-metric poor are about 86%. Major determinants of multidimensional poverty include age of the respondents, marital status, income, number of dependants and household head farming experience. The study concluded that to alleviate rural poverty, potential vulnerable categories of people (as shown in the deprivation incidence) should be given the deserved attention as to reduce poverty eventually.
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