The number of older adults is increasing in industrialized and in developing countries. The present community-based cross sectional work was undertaken to study the anthropometric, body composition, and blood pressure characteristics of rural-dwelling elderly adults of Asian Indian origin. A total of 300 individuals (Male = 157 and Female = 143) from the Bolpur-Sriniketan area of West Bengal, India, took part in the study. Participants were divided into four age-groups: Group I, 55–59 years (Male:Female = 55:61); Group II, 60–64 years (Male:Female = 41:33); Group III, 65–69 years (Male:Female = 27:21); Group IV, 70 years and older (Male:Female = 34:28). Anthropometric measures were taken using standard techniques. Body mass index, waist-hip ratio, and the sum of four skin folds were subsequently computed. Body composition measures, namely percentage of body fat, fat mass, fat free mass, arm muscle circumference, arm muscle area, and arm fat area, were calculated accordingly. Left-arm systolic (SBP) and diastolic blood pressures (DBP) were also measured, and mean arterial pressure was subsequently calculated. Overall observations in the study population indicate a predominance of body weights below the normal body mass index of 25 kg/m². More than half the subjects reported the lack of adequate sanitation facilities and education levels were generally low. Rates of smoking (65.6%) and habitual consumption of alcohol (38.9%) were high in male participants. Upon comparison across the four age groups, results revealed decreases in percent body fat, fat mass, and mid upper arm muscle circumference for Groups III and IV versus Group I for men and for Group IV versus I for women. The overall trend for both SBP and DBP was for small increases with age in men in contrast to slight decreases with age in women. Our findings of generally low body weights, detrimental age-related changes in body composition, and a number of other health-related concerns highlight the high level of nutritional risk in rural dwelling older adults of Asian Indian Origin. Clinicians conducting assessments in this population need to take these measures into account in order to fully account for potential health risks.