The important role that the presence of people, especially residents, in place-time might play in controlling crime has been noted by several theoretical perspectives. The empirical challenge has been measuring the numbers of people in place-time. Recent technological advances provide the locations of individuals each time they use their mobile phones to access applications. Activity patterns offer the information necessary to classify devices as belonging to residents or nonresidents. This research examines how dynamic resident and nonresident population are separately related to crime (assault, theft, and vandalism) in micro area units across four different within-day periods (morning, day, evening, and night) controlling for racial heterogeneity, poverty levels, residential mobility, 311 calls related to disorder, and land use. We find no statistically significant relationship between resident population except for increased odds of an assault in the night period. Nonresident population is significantly related to increased odds of an assault (all times) and a theft (all times except night). Increased odds of a vandalism incident are present only in the evening period. The importance of nonresidents in our work suggests the need to disaggregate the classification into theoretically relevant categories such as place managers and other frequent users of places.