Estimating Labor Trafficking Using GIS-Enabled Multi-Stage Sampling

• In Event: Understanding and Tracking Hidden Crime: Sex Trafficking, Labor Trafficking, and Rape

Abstract

One of the most challenging tasks in current research on human trafficking is to derive reliable estimates on the magnitude of the problem. Both U.S. and international researchers have made some progress in recent years applying varying methods and field techniques. Cost issue aside, the fact that most potential victims are “hidden” preempts the use of conventional survey methodologies. In this project, we apply an innovative GIS-based enumeration strategy that is cost-effective and enables us to build a reasonable sampling frame for multistage sampling. With a probability sample, we will be able to derive reasonable estimates of the scope of labor trafficking violations among our target population—migrant farmworkers. This paper presents the preliminary findings from our field enumeration activities and data collection, and discusses our experience on how this sampling method has worked.

Authors

• Sheldon Zhang, San Diego State University

• Kelle Barrick, RTI International

• Wayne Pitts, RTI International