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This study explores the distribution of cyber-enabled and cyber-dependent crimes across urban, suburban, and rural areas. It also compares these patterns to the distribution of non-cyber crimes across the same areas. Multiple generalized linear regression analyses were conducted, with population, socioeconomic disadvantage, transiency, race, and broadband internet penetration included as control variables. The results show that area type (i.e., urban, suburban, or rural) influences non-cyber crimes. It also influences cyber-enabled crimes, with higher levels observed in urban areas. However, area type does not appear to affect cyber-dependent crimes.
Additionally, socioeconomic disadvantage has a negative effect on cybercrime but a positive effect on non-cyber crime. Transiency, broadband internet penetration, and race all have significant positive effects on cyber-dependent crime, but not on cyber-enabled crime. Broadband internet penetration, which is negatively correlated with socioeconomic disadvantage, has a negative effect on non-cyber crime.