A straddle-type vehicle information processor mountable on a straddle-type vehicle , comprising: a travel state information acquisition section that acquires information related to a travel state of a straddle-type vehicle ; a crash recognition section that recognizes that the straddle-type vehicle has crashed during travel on the basis of the information acquired by the travel state information acquisition section ; and an output section that makes output corresponding to the recognition of the crash by the crash recognition section , wherein the travel state information acquisition section acquires, as the information, a physical quantity set (s) that is configured to include at least two types of physical quantities (x1, x2), the information processor characterized in that : the crash recognition section acquires a Mahalanobis distance (MHD) of the physical quantity set (s) with respect to a referred sample group of the physical quantity set (s), which is acquired by the travel state information acquisition section , wherein the referred sample group relates to referred data that is configured to include a plurality of referred physical quantity sets (S), wherein each referred physical quantity set (S) is referred and configured to include the same types of the physical quantities as the physical quantity set (s), and determines whether the crash has occurred on the basis of a relationship between said Mahalanobis distance (MHD) and a reference value (Th). a travel state information acquisition section that acquires information related to a travel state of a straddle-type vehicle ; a crash recognition section that recognizes that the straddle-type vehicle has crashed during travel on the basis of the information acquired by the travel state information acquisition section ; and an output section that makes output corresponding to the recognition of the crash by the crash recognition section , wherein the travel state information acquisition section acquires, as the information, a physical quantity set (s) that is configured to include at least two types of physical quantities (x1, x2), the information processor characterized in that : the crash recognition section acquires a Mahalanobis distance (MHD) of the physical quantity set (s) with respect to a referred sample group of the physical quantity set (s), which is acquired by the travel state information acquisition section , wherein the referred sample group relates to referred data that is configured to include a plurality of referred physical quantity sets (S), wherein each referred physical quantity set (S) is referred and configured to include the same types of the physical quantities as the physical quantity set (s), and determines whether the crash has occurred on the basis of a relationship between said Mahalanobis distance (MHD) and a reference value (Th). acquires a Mahalanobis distance (MHD) of the physical quantity set (s) with respect to a referred sample group of the physical quantity set (s), which is acquired by the travel state information acquisition section , wherein the referred sample group relates to referred data that is configured to include a plurality of referred physical quantity sets (S), wherein each referred physical quantity set (S) is referred and configured to include the same types of the physical quantities as the physical quantity set (s), and determines whether the crash has occurred on the basis of a relationship between said Mahalanobis distance (MHD) and a reference value (Th). <EOS>