[Aim]  To investigate the value of morphometrics for taxonomic research on the genus Formica (family Formicidae). [Methods]  Five individuals from 16 species of the genus Formica were selected as specimens, and 14 morphometric variables of these were measured, including head length (HL), head width (HW), antennal scape length (SL), pronotal width (PW), mesothoracic length (MSL ), petiole length (PL), petiole width (DPW), petiole height (PH), total length (TL), cephalic index (CI), antennal scape index (SI₁), antennal scape index (SI₂), petiole length-to-width ratio (LPI), and petiole length-to-height ratio (DPI). The data were processed using factor analysis, principal component analysis, and systematic cluster analysis. [Results]  Seven variables; head length (HL), head width (HW), antennal scape length (SL), petiole length (PL), petiole width (DPW), petiole length-to-width ratio (LPI), and antennal scape index (SI₂), are key diagnostic variables for distinguishing among species. Cluster analysis grouped the 16 species into four clades. The second and third clades were closer, with higher similarity in morphometric values, indicating a closer phylogenetic relationship. The fourth branch had the next highest similarity, indicating a more distant relationship, while the first branch had the lowest similarity and was most distantly related. These results were consistent with those of principal component analysis. [Conclusion]  The results of morphometric analysis are basically consistent with those of the traditional morphological classification, indicating that this method can be a useful auxiliary approach for identifying species of the Formicidae. It has significant advantages over traditional taxonomic methods and there is broad scope for further application of this method.