Using unit data from 42,762 elderly from 75th round of National Sample Survey, this paper estimates the extent of multidimensional poverty among elderly in India. Multidimensional poverty is measured in the social, economic, health and energy, water, and sanitation dimensions using a set of nine indicators. The incidence of multidimensional poor was estimated at 46% among elderly with an intensity of poverty of 42%. The multidimensional poverty among the elderly was highest in Jharkhand followed by Odisha and lowest in Goa and Delhi. The estimate of multidimensional poverty is higher in rural areas, among the oldest old and female. The highest contribution of multidimensional poverty among elderly is due to deprivation in insurance coverage and economic dependency. Findings of this study underscore the need for strengthening social security and insurance measures to protect the elderly from multiple deprivations.