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Recent research has identified numerous challenges facing victims of labor trafficking in the U.S. (Owens, et al., 2014; Brennan, 2014). Most of the research on labor trafficking occurring in the U.S., however, has focused on the experiences of non-citizen and foreign national victims. There are many reasons to suspect that labor trafficking victimization occurs among U.S. citizens, although the identification of this phenomenon has been difficult. For example, the homeless and those with insecure housing, individuals with intellectual and physical disability, low-wage and transitional workers, and those working in illicit economic markets or within sexualized labor services are anticipated to be at higher risk for labor trafficking victimization.

In this exploratory mixed-methods study, the research team answered four main questions to help illuminate the phenomenon of labor trafficking of U.S. citizens.

1. What are the personal, economic, or structural vulnerabilities that put U.S. citizens at risk for labor trafficking?
2. What does labor trafficking looks like for U.S. citizens and where does it fall on a continuum of labor exploitation?
3. How are U.S. citizens recruited into, move to, experience, and escape from labor trafficking victimization?
4. How do U.S. citizen labor trafficking victims seek help or exit exploitative labor situations?

These questions were answered through surveys with individuals at high risk for labor trafficking victimization across four U.S. sites (n=240), individual interviews with a subsample of survey respondents (n=27), and interviews with service providers (n=20). The surveyed population were citizens who were born in the U.S., those who were naturalized citizens at the time of their victimization, and legal permanent residents. The sampling strategy relied on several snowball and purposive sampling techniques and were developed in partnership with social service agencies, government agencies, and community contacts with knowledge of or contact with labor trafficking in each of the sites. As such, the study was not designed to generate prevalence estimation or to claim any representativeness of labor trafficking violations among U.S. citizens.

This collection only includes the quantitative survey data. Qualitative interview data are not available.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The study contains data from face-to-face interviews of 404 migrant farmworkers in North Carolina. The data was collected to produce reliable estimates of the prevalence of labor trafficking victimization among farmworkers in North Carolina. Additional objectives included improving the ability to identify potential trafficking cases as well as investigating the types of victimization migrant workers experienced.

This study includes one SPSS data file: LaborTraffickingNC_PUF.sav (140 variables, 404 cases). The study also includes three syntax files:

• Tables-1-6-code.sps
• Table-7-code.docx
• variable-creation.sps

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

In this study, researchers used capture-recapture sampling and multiple data sources to gauge the impact of drug trafficking in Quebec, Canada on the United States drug market. The main analyses were based on arrest data that were obtained for Quebec. In addition, analysis of the chemical composition and price assessments of the Quebec synthetic drugs was done.

The study includes one SPSS data file (Quebec Arrest Data (Synthetic Drugs Cases, September 2014; n=20261)-ICPSR.sav ; n=20,261 ; 13 variables) and one Excel data file (Chemical composition of seized synthetic drugs.xls ; n=365 ; 14 variables).

Spatial analyses of border seizure data was performed by the researchers, but these data are not available at this time. The data used for these analyses concerned synthetic drug seizures at Canadian borders from 2007 to 2012. The dataset was provided by the Canadian Border Services Agency (CBSA). For each seizure, the specific border crossing where the seizure was made was provided, as well as the value of the seizure (except for precursors), the country of origin and the type of drug seized. The types of drugs were classified into five types: (1) Precursors, (2) MDMA, (3) Amphetamine, (4) Methamphetamine and (5) Others. Most of the seizures (86.6 percent) were classified in this last category. The country of origin of the seizure was also provided.

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.

The purpose of the study was to provide statistically sound estimates on the prevalence of trafficking victimization and investigate the type of trafficking victimization among unauthorized migrant laborers in San Diego. Data were collected through face to face interviews using respondent driven sampling (Labor Trafficking Main Data, n=826 and Specific Trafficking Incident Data, n=826). There were sixteen interview sites spread across San Diego county. All interviews were conducted with at least two interviewers present. The study used a total of seven bilingual interviewers who conducted 826 valid interviews. Each subject was paid thirty dollars for participating in the interview, and given three referral coupons worth ten dollars each. The Respondent Driven Sampling (RDS) began with an initial set of "seeds" recruited from the target population through a combination of recruiting strangers at day labor sites and existing community contacts within the social networks of Center for Social Advocacy (CSA) outreach workers. To be eligible for participation in the study, one had to be unauthorized in the United States and be working (or have worked within) the past 3 months. Other than the seeds, all subsequent referrals had to call the project phone number to schedule interviews with their coupon numbers.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

The purpose of the study was to investigate potential correlates of labor trafficking in an effort to identify indicators of labor trafficking that could be used by state and local law enforcement as signals that labor trafficking may be taking place in their communities. Stakeholder interviews with individuals from organizations who serve migrant workers (n=24) were piloted in September 2010 with the larger data collection effort occurring between October 2011 and March 2012. In-person interviews were conducted with farmworkers (Farmworker Data, n=380) who may have been experiencing labor exploitation or trafficking. The field data collection activities began in September 2012. Interview data were collected at residential migrant labor camps, at community events, and in Western North Carolina, at integrated housing and locations frequented by farmworkers. Finally, researchers extracted secondary data from a number of sources to create profiles of each county (County Data, n=17) in which interviews were conducted.