A recent study featuring PISC Past Trainee Beidi Dong, PhD, evaluates the relationship between immediate microgeographic environment and individual victimization. The immediate microgeographic environment was measured on 449 street segments within communities in Baltimore, Maryland. Multilevel logistic regression models were employed to examine how individual risky lifestyles, the microgeographic context of the street, and community-level measures influence self-reported property and violent crime victimization. Results indicate that risky lifestyles and community indicators of disadvantage play a role in violent crime victimization. Additionally, models reveal that microgeographic level adds significantly to the understanding of victimization.