Abstract
This paper examines the multidimensional poverty status and also detects the factors that influence multidimensional poverty of Bodo household of Udalguri district, Assam. The study is entirely based on primary data. Multistage, stratified, purposive and random sampling techniques are used to collect primary data of 660 Bodo household covering twenty-two villages of eleven blocks of the study area. Multiple Correspondence Analysis (MCA) method is applied for constructing household level Multidimensional Poverty Index (MPI). Again, step-wise logistic regression is used to identify the factors influencing the multidimensional poverty status of the study area. The MPI value for the study area predicts that the area is moderately poor and health and literacy are the most important influencing factors.
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