Previous studies have shown that palmprints can be employed to reveal the sex of the print donor when direct identification is not possible. However, most of the methods require that the entire print is preserved, thus restricting the usage of the partial and lower-quality prints found at the scene. This research aimed to examine if the distances between digital triradii on the palm exhibit sexual dimorphism and to develop sex classification models for the Croatian population. The study sample comprised 119 left palmprints (66 males and 53 females) and 134 right palmprints (73 males and 61 females) on which we took eight measurements based on the distance between digital triradii. We examined the sexual dimorphism of variables using an independent samples t-test and developed logistic regression models for sex classification. All variables showed statistically significant sexual dimorphism (P < 0.001). Univariate models achieved sexing accuracy 64%-85%, while the accuracy of the multivariate models ranged from 81% to 87%. The research demonstrated that measurements of the interdigital palmar area could be used for estimating sex from palmprints in the Croatian population. Therefore, they can be employed in investigations to reveal the sex of the perpetrator and reduce the list of potential suspects.