Understanding consumers' purchasing behavior is a crucial component of commercial area management. This article proposes Area-POS data for elucidating consumer purchasing behavior in a commercial area. As a method of collecting Area-POS data, we focused on FT (from-to) type community currency, which determines the co-occurrence of stores used by customers (distributor store and destination store). Moreover, this study extended ABC analysis and association analysis, which are POS data analysis methods, to the analysis method of Area-POS data obtained by FT-type community currency. Field experiments were conducted to examine the effectiveness of these methods for collecting and analyzing Area-POS data. The results of these experiments identified stores with high visit frequency in the commercial area and clarified the primary co-occurrence relationships among stores in the area. The findings of this study show the effectiveness and potential of Area-POS data analysis for commercial area management.