Illegal Immigration, Immigration Enforcement Policies, and American Citizens' Victimization Risk, [United States], 2005-2015 (ICPSR 39329)
This project was designed to examine two research questions:
- Does living in a county with a larger or growing share of undocumented immigrants increase personal non-fatal victimization risk?
- Does the presence of selected immigration policies within U.S. communities--the 2008 Secure Communities program, Section 287(g) of the 1996 Immigration and Nationality Act task force agreements and jail enforcement programs, or "sanctuary" anti-detainer policies--and the actual immigration enforcement applied impact personal non-fatal victimization risk?
These questions were addressed with a longitudinal multilevel dataset that integrated publicly accessible county-level data on legal and undocumented immigrant concentration, immigration policies, and immigration law enforcement actions to individual-level panel data on victimization from the restricted-use, area-identified, 2005-2015 National Crime Victimization Survey (NCVS). Contextual data on social, economic, and racial-ethnic indicators at the county- and tract-level were also used.
This collection includes analytic datasets drawn from publicly accessible secondary sources and syntax files containing code for variable construction. The restricted NCVS data will not be archived at ICPSR.
Collaborative Multi-racial Post-election Survey (CMPS), United States, 2020 (ICPSR 39096)
In spring 2020, scholars were invited to collaborate on the 2020 Collaborative Multi-Racial Post-election Survey (CMPS). The goal of the project was to build upon the 2016 CMPS which was the first cooperative, 100% user content driven, multi-racial, multi-ethnic, multi-lingual, post-election online survey in Race, Ethnicity and Politics (REP) in the United States. The survey's main focus is on attitudes about the 2020 Election and candidates, experiences with racism, policy attitudes, immigration, and personal experiences with civic engagement across many facets of American life.
This 2020 CMPS includes over 200 scholars across nearly 100 different colleges/universities. Survey questions were user-generated. Users who contributed survey content could submit questions for just one single racial group, or common questions across all racial/ethnic, or oversample groups, depending on their interest. In cases where two different users submitted very similar questions the PIs worked to create a single common question. Overall, the survey contained over 800 unique questions including split samples, branch-items, and group-specific questions, and the average respondent completed over 500 items.
The 2020 CMPS was offered in English, Spanish, Chinese (simplified), Chinese (traditional), Korean, Vietnamese, Arabic, Urdu, Farsi and Haitian Creole. The survey dataset includes Black, White, Latino and Asian respondents as well as additional oversamples of respondents from hard-to-reach populations including, Afro-Latinos, Black immigrants, Native Americans, Native Hawaiians, Muslims and people who identify as LGBTQ.
Collaborative Multi-racial Post-election Survey (CMPS), United States, 2016 (ICPSR 38040)
In spring 2016, scholars were invited to collaborate on the 2016 Collaborative Multi-Racial Post-election Survey (CMPS). The goal of the project was to create the first cooperative, 100% user content driven, multi-racial, multiethnic, multi-lingual, post-election online survey in race, ethnicity and politics (REP) in the United States. The survey's main focus is on attitudes about the 2016 election and candidates, debates over immigration, policing, and racial equality, and experiences with racial discrimination across many facets of American life.
Questions were user-generated from a team of 86 social scientists across 55 different universities who placed questions on the survey. Users could submit questions for just one single racial group, or common questions across all four racial groups, depending on their interest. In cases where two different users submitted very similar questions the PIs worked to create a single common question. Overall, the survey contains 394 questions.
The restricted-use dataset contains geographical information which has been masked in the public-use dataset along with adjustments to date information. Please refer to the Collection Notes in the SCOPE OF PROJECT section for more information.