Exploratory spatial analysis: Understanding the geography of risks for trafficking and preventive efforts through the implementation of kNOw MORE!—: an educational program in middle and high schools in San Diego, California

Abstract

Human trafficking (HT) violates human rights and brings long-lasting consequences for victims. This study aimed to geographically and statistically analyze (1) the implementation of a youth educational prevention program, kNOw MORE! (kM!) located in San Diego County (SD); (2) clusters of student participants who desired to talk further about trafficking after participating in kM!; (3) clusters of SD regions that included protective factors based on mental and social services for survivors of HT and similar populations; and (4) the low and high risk clusters for trafficking within SD. kM! is a preventive program that seeks to increase knowledge and self-efficacy to prevent trafficking. kM! is designed to increase knowledge and self-efficacy among middle and high school students to prevent HT. Databases used included the U.S. Census, the California Longitudinal Pupil Achievement Data System, kM!’s (2016–2020), among others. Results indicate that kM! was implemented throughout the six regions of SD. These presentations reached a total of N = 11,586 participants. Analysis of ZIP codes highlighted the South and East regions as representing the highest cluster for kM!’s presentations. Central, North Inland, and South Regions of SD are among the ones with highest percentiles of HT vulnerability scores. Regarding protective factors, the Central Region of San Diego contains the highest clustering of mental health and social services. These findings can assist diverse stakeholders and leaders to geographically strategize their anti-trafficking efforts. However, complete and uniform open databases at multiple levels are required to best inform the associations between geographical spaces and HT vulnerability.