The purpose of this study is to analyze the pattern of human developmental growth with empirical anthropometric data for clothing construction. The sample was drawn randomly out of senior high school boys and girls in seoul urban area. The sample size was 424 boys and 301 girls between age 16 and 18. Dependent variables of this study were modified after extraction of common variables from raw data. 42 dependent variables were analyzed by the method of Duncan Test as Multiple Range Test among three age groups and T-Test between male and female of same age groups. The analysis of these data was carried with spss-x package by the computer installed in INHA University. The major findings can be summarized as follows. 1. In Duncan Test, female students between age 16 and 18 were not significantly different in the majority of dependent variables, but girth measurements and weight of 17 and 18 age groups were significantly different from that of 16 age groups. 2. In Duncan Test, male students were significantly different in the majority of the dependent variables, especially 33 variabls from 42 variables, among three age groups. 3. In T-Test, hip girth was only not significantly different between male and female and neck girth of the female students was only significantly larger than that of the male students.