Estimation of ideal body weight in human samples in a fine located geographic level is vital for effective health promotion programmes, provision of better health services and population-specific health planning and management. Lack of nutritional knowledge and information gap on various health and nutritional tools negatively impacts the ability of local and national agencies to manage serious health issues and related risks in the community. A solution to this challenge would be to develop a method that simulates reliable statistics on assessing the ideal body weight of human populations. This paper provides a significant appraisal of the biophysical methodologies for estimating ideal body weight to mitigate health-related problems of populations at geographical limited areas. There is no procedure in this multidisciplinary area in estimating ideal body weights of human samples in health physics and biostatistics. The dietician is often at bay in the route ahead of perfect dieting to hold up nutritional soundness of the sample at a population in a community. The aim of this current study is making a dot over these ongoing perils simulating a biophysical modeling to be used in prescribing a confounding free diet. The study findings are the equations (7), (8) and (9) in different health plight regarding to age groups in human population can be an outstanding mathematical modeling as a dieting tool in nutritional physics applicable to the study on health and nutritional research and in the branch of biostatistics. Also it can be a uniquely functional biophysical modeling in the branch of health pedagogy in nutritional epidemiology.