The relationship between various co-variates, microsomal enzymatic activities and pharmacokinetic parameters such as clearance and volume of distribution are traditionally evaluated by correlation. This type of analysis determines the relationship between variables in a qualitative manner. The closeness of a variable in relation to another is determined by the correlation coefficient, which lies between 0 and 1. A major drawback of correlation analysis is that the mathematical distance between the two variables is not available. A multiple-linear regression model is often used to further define the relationship between variables. However, analyses using multiple-linear regression models require a specific response variable. In the case where several metabolic pathways are being evaluated, each of the enzymatic activities should then be defined as a response variable. Building several multiple-linear regression models becomes time consuming and redundant. In contrast to multiple-linear regression, cluster analysis does not require a specific response variable. In this study, we used multivariate statistical cluster analysis to provide a mathematical and visual representation of the relationship between various cytochrome P 450 (CYP) isozyme functions and demography in a CYP database. The demographic factors that were known to influence drug metabolism, such as age and gender, were introduced as co-variates in the model.A total of 38 human livers were collected and microsomes were prepared. Of the donors 18 were male and 20 were female. Of these 38, 16 were less than 13 years of age at the time of liver harvest, 16 belonged to the group 13-40 years of age, and 6 were more than 40 years old. The average ages of the male and female donors were 20±16 years and 19±16 years, respectively.Individual liver microsomes were screened for their CYP1A, CYP2E1 and CYP3A4 activities. Total CYP was measured spectrometrically. Ethoxyresorufin Odeethylation (EROD), caffeine 1-demethylation (37X), caffeine 3-demethylation (17X) and phenacetin O-deethylation (POD) were the probes used to determine CYP1A activity at the ethoxyresorufin, phenacetin and caffeine concentrations of 0.42, 200 and 400 lM, respectively. Chlorzoxazone hydroxylation (CzOH) and testosterone 6b-hydroxylation (T6OH) were used to determine CYP2E1 and CYP3A4 activities at 250 lM and 100 lM substrate concentrations, respectively. The phenotypic trait measured via specific probe activity reflects the metabolic clearance in vivo. These isozymes account for more than 70% of human drug metabolism.