Background: Estimation of human stature has significant bearings on assessment of growth, nutritional status and personal identification. Often the prediction of stature from bone remains or body parts of children is complicated by the ongoing growth. Despite these disadvantages, a situation may arise where estimation of a child’s stature becomes important. In such a situation equations derived for adults cannot be applicable. Materials and Methods: The present cross-sectional study was conducted among 240 children (boys: 116; girls: 124) aged between 3 to 11 years and belonging to the Bengali Hindu Caste Population from Naxalbari, District Darjeeling, West Bengal, India. Standard procedures were followed to record stature, arm span, arm length and tibial length. Intra- and inter- observer technical errors of the measurement (TEM) were calculated. One way analysis of variance (ANOVA), correlation, linear regression and stepwise regression were used to analyze the data. Result: The boys had higher mean age, mean stature, mean arm span, mean arm length and tibial length than girls. However, using ANOVA, the
sex difference were not significant (p>0.05). Stature was observed to be positively and significantly correlated with all the anthropometric variables among both sexes. When stepwise regression was used, it was observed that the correlation coefficient (R) and the coefficient of determination (R2) increased with inclusion of arm length and tibial length with arm span as the predictor. The addition of age as a variable further increased the predictive accuracy of the model. Predictive accuracies of the equations were higher among girls than boys. Conclusion: The present study has observed strong associations of stature with age, arm span, arm length and tibia length. The strength of prediction in general increased with the increasing number of parameters and from using linear to stepwise multiple regressions. Addition of age as a variable influenced the predictive accuracy of the model which becomes helpful for stature estimation among the children when the age is known.