Factor analysis is a useful statistical tool to reduce the total number of characters to be studied by identifying marker characters, which will accomodate the inheritance of a set of assiciated characters. A pooled factor analysis of 33 variables representing morphological, leaf and bark anatomical characters in the early growth phase of 80 wild genotypes of natural rubber (Hevea brasiliensis), with the popular clone RRII 105 as control, was carried out in an evaluation trial at the Central Experiment Station of Rubber Research Institute of India. Twelve factors were identified, influencing 12 groups of characters out of the total 33 characters sunjected to the analysis. Of the twelve factors identified, three factors controlled the morphological characters, five controlled bark structural characters and four controlled leaf anatomical characters. The characters identified with maximum factor loadings in each group include girth, total number of latex vessel rows, height of phloic rays, diameter and density of latex vessels. It can be seen that the factors accounted for 82.30;of the total variance, which will sum up the information in the original data of the 33 selected characters. Thus, the dimension of the data could be reduced to the variables, controlled by 12 factors. This is of great significance in building up of core collections using data of selected marker characters and also in multivariate studies in germplasm evaluation trials to identify the main factors of divergence.