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This paper explores the incidence and extent of multidimensional poverty for the households in Purulia district, the western most backward district of West Bengal in India. In context of Purulia district the decompositions of multidimensional poverty index (MPI) across the social castes and across the indicators have also been explained. MPI and its decomposition across the sub-groups have been computed using the methodology developed by Alkire and Foster (2007) and . This study covers twelve non income indicators under three dimensions education, health and living conditions. Collecting a set of primary data from 698 households in Purulia district during 2018, this study reveals that the incidence of multidimensional poverty in the district of Purulia is higher than that in national level. But the breadth of poverty is almost equal to that in India as a whole. In respect of poverty there is wide variation across the social castes. Among the indicators, use of dirty cooking fuel, not having improved sanitation have highest contribution to the district MPI.Highlights m This paper explores the incidence of multidimensional poverty for the households in Purulia district which is double in figure compared to that in India as a whole. Deprivation in access to improved sanitation is identified as the crucial indicator contributing highest in MPI of Purulia district.

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This chapter explores the penetration of SHGs and assesses socio-economic status and its inequality for the SHG-member households in North Andaman Island in the union territory Andaman and Nicobar Islands of India. The authors have used the Gini coefficients for computing inequalities and log-linear model for estimating the impact of borrowing on food and non-food expenditure. It is revealed that the incidence and intensity of poverty of the sample households is not so serious. Majority of the sample women under SHG schemes actively participate in group activities and have obtained micro credit. Inequality in household income is lower than the inequality in per capita income. Moreover, inequality for health expenditure is higher compared to the inequality in food expenditure. Borrowing through SHGs accelerates non-food expenditures not investment in income generating activities. However, SHGs inculcates empowerment of the participations.