In this research we discussed the application of data mining in financial information, focusing on accounts receivable of the employees of a government office, we applied visual data mining in (993) accounting records using WEKA to identify outliers by geographical region, the frequency and the amount of money missing in a period of time, and analyzed the main factors involved in this process. Our preliminary results show that the insecurity in the region is highly correlated with the amount of money missing in the government institution, overhanging the north and southeast of Mexico as the most affected.