The majority of the Indian population lives in rural areas, and the livelihood security of a wasteland‐dominated and forest‐fringe region in rural India is mostly dependent on primary economic activities. Under this backdrop, understanding the spatial pattern of livelihood security is essential for reducing poverty (Sustainable Development Goal 01) and eradicating spatial inequality in socio‐economic conditions (SDG 10). The study focuses on estimating the magnitude of livelihood security by combining the availability of natural resources, housing, drinking water, and sanitation facilities, economic condition, socio‐cultural condition, and availability of assets using the Analytical Hierarchical Process (AHP) at the village level. The villages situated along the riverside (Shilabati River) of the north‐eastern part revealed a higher degree of livelihood security, whereas forest‐ and wasteland‐dominated central and south‐western parts exhibited a lower level of livelihood security. This demarcation of villages or rural units may help policymakers to frame adequate, sustainable, inclusive micro‐level policies, enhancing socio‐economic sustainability and livelihood security as well as reducing spatial inequality.