Using the principal component analysis and clustering Forest resources are consistently necessary in the future. It takes much time to produce and breed them. However it is difficult to do due to recent social situation. Considering global environment, forest policy should be considered as a global scale rather than a regional one. At least, the policy needs a national scale concern. In order to support forestry, elementary data are needed. In this study, forest characteristics in Ishigawa-gen province have been analyzed through main component analysis and clustering. The results are shown in fig.5 and fig.6.