This data collection contains the results of a sample survey of University of Michigan (U-M), Ann Arbor, faculty, staff, and students meant to represent the full diversity of the community and to capture information and perceptions on demographics, climate, institutional commitment and inclusive and equitable treatment, departmental norms, intergroup interactions, and discrimination. With input from committees of students, faculty, and staff, the survey instrument was developed collaboratively by the U-M Office of the Provost, U-M's Survey Research Center, and administered by SoundRocket, an external social science survey research company. The instrument was delivered as a web survey, and several notifications and reminders were used to encourage completion, as well as an incentive. These notifications and reminders were delivered in phases. Variables in the collection describe age, gender and gender identity, race/ethnicity, school/department/unit, religious affiliation, disability status, campus safety, rating of campus climate, intergroup interaction, discriminatory events, composite rating scores, and more.

The Detroit Metro Area Communities Study (DMACS) is a panel survey of Detroit residents launched in 2016. The original panel of respondents was drawn from an address-based probability sample of all occupied Detroit households. In subsequent years, the panel has been refreshed through additional address-based sampling. The 12th survey wave, collected between January 6, 2021 and March 5, 2021 included a sample refresh using multiple recruitment modes (mail, email, text, and phone). The researchers sent a total of 11,655 invitations to the survey: 1,766 to existing DMACS panelists who had already responded to at least one prior survey and 9,889 to residents of a randomly-selected address-based refreshment sample of Detroit households. This refreshment included an oversample of households in Census block groups that were at least 70% Hispanic and households in Strategic Neighborhood Fund (SNF) neighborhoods. Surveys were self-administered online or interviewer-administered via telephone. Adaptive design was used to increase response rates amongst hard-to-reach subgroups. The researchers report results for the 2,238 Detroit residents who completed the survey. The researchers obtained an overall response rate of 20.22% (using American Association for Public Opinion Research (AAPOR) Response Rate 1); 72.6% for existing panelists and 10.4% for new panelists.

This data collection is one in a series of surveys of consumer finances conducted annually between 1946 and 1971. In a nationally representative sample, the head of each spending unit (usually the husband, the main earner, or the owner of the home) was interviewed. The basic unit of reference in the study was the spending unit, but some family data are also available. The questions in the 1960 survey covered the respondent's attitudes toward national economic conditions and price activity, as well as the respondent's own financial situation. Other questions examined the spending unit head's occupation, and the nature and amount of the spending unit's income, debts, liquid assets, changes in liquid assets, savings, investment preferences, and actual and expected purchases of cars and other major durables. In addition, the survey explored in detail the subject of housing, e.g., previous and present home ownership, value of respondent's dwelling, and mortgage information. Demographic variables include number of people in the spending unit, age, sex, and education of the head, and the race and sex of the respondent.

The Sustainability Cultural Indicators Program (SCIP) is a groundbreaking effort designed to inform educational programs and campus operations at the University of Michigan. Two questionnaires (one for faculty and staff and another for students) have been administered to the U-M campus community on a regular basis since Fall 2012. The surveys yield responses from more than 3,500 students and 1,500 faculty and staff members each cycle. Questions cover carbon neutrality, travel and transportation, waste prevention and conservation, the natural environment, climate change, food, and engagement, awareness, and ratings of campus sustainability initiatives.

The 2002 Census of Law Enforcement Training Academies (CLETA02) was the first effort by the Bureau of Justice Statistics (BJS) to collect information from law enforcement training academies across the United States. The CLETA02 included all currently operating academies that provided basic law enforcement training. Academies that provided only in-service training, corrections/detention training, or other special types of training were excluded. Data were collected on personnel, expenditures, facilities, equipment, trainees, training curricula, and a variety of special topic areas. As of year-end 2002, a total of 626 law enforcement academies operating in the United States offered basic law enforcement training to individuals recruited or seeking to become law enforcement officers.

Project Positive Attitudes Towards Health (PATH) was a survey conducted as a part of a larger study, "Empirical Assessment of Respondent Driven Sampling from Total Survey Error Perspectives," supported by the National Science Foundation. The larger study aims to examine operational as well as inferential properties of respondent driven sampling (RDS). The Project PATH was an application of RDS specific to the in-person environment targeting persons who inject drugs (PWID), a group associated with illicit and stigmatized behaviors and, hence, difficult to recruit in Southeast Michigan, which included Wayne, Oakland, Macomb and St. Clair counties. The Project PATH started in May 2017 and continued until the first week of November 2017 with a total sample size of 410 for the main survey. Questions in the main survey were largely adopted from the National HIV Behavioral Surveillance and the National Survey on Drug Use and Health conducted by the U.S. Substance Abuse and Mental Health Services Administration and covered topics such as general health, mental health, illicit drug use, health risk behaviors, sexually transmitted diseases, HIV, sexual orientation, health care service utilization and as well as socio-demographics. Questions specific to the interest of the local stakeholders were developed; these included topics related to Hepatitis A and access to naloxone. Demographic variables include gender, race, marital status, education level, age, and employment status.

The purpose of the Survey of Jails in Indian Country is an enumeration of all known adult and juvenile facilities -- jails, confinement facilities, detention centers, and other correctional facilities operated by tribal authorities or the Bureau of Indian Affairs (BIA), U.S. Department of the Interior. For the purpose of this collection, Indian country includes reservations, pueblos, rancherias, and other Native American and Alaska Native communities throughout the United States. The survey collects data on the number of adults and juveniles held on the last weekday in June 2019, type of offense, average daily population in June, most crowded day in June, admissions and releases in June, number of inmate deaths and suicide attempts from July 1, 2018 through June 30, 2019, rated capacity on June 28, and jail staffing on June 28, 2019.

This data collection contains county-level counts of arrests and offenses for Part I offenses (murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, and arson) and counts of arrests for Part II offenses (forgery, fraud, embezzlement, vandalism, weapons violations, sex offenses, drug and alcohol abuse violations, gambling, vagrancy, curfew violations, and runaways).

The United States COVID-19 Trends and Impact Survey (CTIS) was a voluntary survey of Facebook users in the United States conducted from April 2020 to June 2022. CTIS was intended to aid in pandemic forecasting and response at fine spatiotemporal detail. Through collaboration with Meta, it randomly sampled Facebook active users at a rate sufficient to provide roughly 35,000 responses per day, on average. Survey questions covered topics including COVID-like symptoms, behavior (such as social distancing), COVID testing, mental health, health-related beliefs, trust in officials and information sources, schooling, vaccination acceptance and hesitancy, and related subjects. Respondents provided their ZIP code. Demographic variables include age, gender, education, race/ethnicity, and occupation. Meta generated survey weights to correct for non-response and to match the US adult population age and gender distribution. The 27 datasets make up the microdata. Users should see the Microdata User Guide for documentation on the use and interpretation of the microdata files. Two zip files are available for public download: a monthly data zip file and a weekly data zip file. These include the aggregate data. To access these files, go to the "Download" tab and select "Other." Ensure you have enough storage space before proceeding, as the files are large.

The Detroit Metro Area Communities Study (DMACS) is a panel survey of Detroit residents aged 18 and older. The original panel of respondents was drawn from an address-based probability sample of all occupied Detroit households in 2016 and has since been refreshed through additional address-based sampling annually. The 16th survey wave, collected between January 26, 2023 and March 23, 2023, invited 3,202 previously-enrolled panelists to participate in a self-administered or interviewer-administered survey. Topics included: perceptions of neighborhood; disability; household finances; employment; COVID-19 vaccination; trust and sources of information; employment; Awareness of/Involvement in Vacant Lot Reuse; and attitudes towards reparations.

This data collection gathered information on the adoption and implementation of flexible work options for older workers from United States enterprises with 50 or more employees. Respondents were asked to provide information on various aspects of their business establishment, such as their policies for retirement, racial/ethnic composition, gender ratios, the percentage of older workers, recent developments within the organization, employee benefits, employee requirements, percentage of managers, consultants, and temporary workers as well as similar subjects. Next, interviewees provided their opinions on various business-related topics, such as the prime opportunities for the company, areas in need of development, optimal corporate strategies for their companies, age ranges for various position levels, level of diversity in recruitment, and other related topics.

This project examined the role of technology use in teen dating violence and abuse, and bullying. The goal of the project was to expand knowledge about the types of abuse experiences youth have, the extent of victimization and perpetration via technology and new media (e.g., social networking sites, texting on cellular phones), and how the experience of such cyber abuse within teen dating relationships or through bullying relates to other life factors. This project carried out a multi-state study of teen dating violence and abuse, and bullying, the main component of which included a survey of youth from ten schools in five school districts in New Jersey, New York, and Pennsylvania, gathering information from 5,647 youth about their experiences. The study employed a cross-sectional, survey research design, collecting data via a paper-pencil survey. The survey targeted all youth who attended school on a single day and achieved an 84 percent response rate.

***************************************************************************************** April 29, 2025: STARRS - Longitudinal Study Wave 4 (LSW4) data released ***************************************************************************************** The Army Study to Assess Risk and Resilience in Servicemembers (STARRS) is an extensive study of mental health risk and resilience among military personnel. Army STARRS consists of eight separate but integrated epidemiologic and neurobiologic studies. Survey data for three of the Army STARRS study components are available via Secure Dissemination or via the ICPSR Virtual Data Enclave: New Soldier Study (NSS); All Army Study (AAS) and Pre-Post Deployment Study (PPDS). Also available are data for the STARRS-Longitudinal Study (STARRS-LS), which are follow-up surveys conducted with Army STARRS participants from AAS, NSS and PPDS studies. Lastly, baseline administrative data from the Army/Department of Defense (DoD) and blood sample flags for Soldiers who had blood drawn as a part of their participation in NSS or PPDS are available. The AAS component of Army STARRS assesses soldiers' psychological and physical health, events encountered during training, combat, and non-combat operations, and life and work experiences across all phases of Army service. The AAS data includes data on soldiers' psychological resilience, mental health, and risk for self-harm. The NSS data are drawn from new soldiers who have just entered the Army. The data contain information on soldier health, personal characteristics, and prior experiences. Results from a series of neurocognitive tests are also included in the NSS data. The PPDS data are drawn from active duty soldiers who were interviewed at four points in time: 3-4 months prior to deployment to Afghanistan; within 1-2 weeks after return from deployment; 1-3 months after return from deployment; and 9-12 months after return from deployment. The PPDS data contain information on soldiers' psychological resilience, mental health, deployment experiences, and risk for self-harm. The STARRS-LS data are from multiple follow-up interviews with individuals who previously participated in the AAS, NSS and PPDS study components of Army STARRS. STARRS-LS data contain follow-up information on soldiers' and veterans' physical and mental health, resilience and risk for self-harm, military and employment status, deployment experience, and personal characteristics as they move through their Army careers and after they leave the Army.

This survey of 12th-grade students is part of a series that explores changes in important values, behaviors, and lifestyle orientations of contemporary American youth. Students are randomly assigned to complete one of six questionnaires, each with a different subset of topical questions, but all containing a set of "core" questions on demographics and drug use. There are about 1,400 variables across the questionnaires. Drugs covered by this survey include tobacco, smokeless tobacco, alcohol, marijuana, hashish, prescription medications, over-the-counter medications, LSD, hallucinogens, amphetamines (stimulants), Ritalin (methylphenidate), Quaaludes (methaqualone), barbiturates (tranquilizers), cocaine, crack cocaine, GHB (gamma hydroxy butyrate), ecstasy, methamphetamine, and heroin. Other topics include attitudes toward religion, changing roles for women, educational aspirations, self-esteem, exposure to drug education, and violence and crime (both in and out of school). Highlights for 2022: Continuation of randomized blocks of questions presented to students. Please see Appendix D of the codebook. Change to the question stem for some lifetime, 12 month, and 30 day heroin and marijuana use questions. Please see the Highlights for 2022 section in the codebook for more details. Change to the heroin use questions: Separate questions about heroin use with a needle and heroin use without a needle for lifetime, past 12 months, and past 30 day timeframes are no longer asked. The separate questions have been replaced by the single question, "On how many occasions (if any), have you taken heroin... ...in your lifetime? ...during the last 12 months? ...during the last 30 days? Please see the Highlights for 2022 section in the codebook for more details. Additional information is documented in the MTFQchanges2022byForm.pdf and MTFQchanges2022byType.pdf files available for download.

The Michigan Longitudinal Study (MLS) is a long-term multi-project collaboration to describe the interaction of behavior, social influence, brain vulnerability, and genetic risk, as they create the development of risk for, or resilience against the abuse of substances, and as they continue to have impact on health throughout the lifespan. The project's special focus is to archive the real-time observational data collected initially on VHS videotapes and converted to MP4 video format. A total of 2238 social interactional videotapes were recorded involving the Eyberg Parent-Child interaction task carried out separately with each parent, a standardized marital interaction problem solving task, a standardized family interaction task, and undetermined interaction tasks. The current digital video data is a small portion of the overall project database that permits analysis of microlevel social interaction with facial and emotional display characteristics and the examination of its long-term predictive power from childhood to adulthood.

This dataset contains variables describing congressional service and selected biographical characteristics for each person who has served in the United States Congress. This release of the data includes members of the 104th Congress. Approximately 11,455 individuals are represented in this file, each identified by a unique five-digit identification number. A data record exists for every Congress in which an individual served, as well as for each chamber in which a person may have served in a given Congress. To illustrate, a member of the House of Representatives who is appointed to fill a vacancy in the Senate during a term of service will have two data records for that Congress. The congressional service variables include political party affiliation, district, state and region represented, and exact and cumulative dates of service in each Congress and each chamber, as well as total congressional service. The biographical variables cover state and region of birth, education, military service, occupation, other political offices held, relatives who also have held congressional office, reason for leaving each Congress, and occupation and political offices held subsequent to service in Congress. Many of these specific variables are summarized in a collapsed variable.

This data collection contains financial data on state government revenues and expenditures for 16 states during 1933-1937. There are separate files for different levels of aggregation: (1) revenue and expenditure aggregates (1-digit codes), (2) revenues and expenditures classified by major 20th-century categories (2-digit codes), (3) revenues and expenditures classified by minor categories that correspond to special features of 19th- and/or 20th-century governments (3-digit codes), and (4) revenues and expenditures classified by idiosyncratic categories which differ from state to state (4-digit categories). Parts 1 through 4 contain expenditure data. Parts 5 through 8 comprise revenue data. Part 9 contains codes for the categories of expenditures and revenues.

The COVID-19 Trends and Impact Survey (CTIS) was conducted by the Delphi Group at Carnegie Mellon University (CMU) in the United States (US) and by the University of Maryland (UMD) Social Data Science Center (SoDa) globally, in partnership with Meta. CTIS was a daily repeated cross-sectional survey that ran continuously starting April 6, 2020 in the US and starting April 23, 2020 globally. Both surveys concluded data collection on June 25, 2022. CTIS collected data in 200+ countries and territories, including 114 where Meta provided survey weights. The sampling frame was Facebook users aged 18 years or older who have been active on the platform in the last month. Sampled Facebook users saw the invitation at the top of their Feed, but the surveys were collected by the universities using Qualtrics. Meta neither collected nor received survey responses. The sample was stratified by subnational regions. Respondents were sampled as frequently as every month and as infrequently as every six months, depending on the population density of the subnational region in which they lived. Due to the minimum sampling frequency, pooled analyses should not combine more than a month of data. There were 12 versions of the survey questionnaires. The Delphi US CTIS was translated into 8 languages. The UMD Global CTIS was translated into 66 languages. This collection is comprised of three categories of data: a. Individual-level microdata files, which will be available to eligible academic and nonprofit researchers with fully executed Data Use Agreements (DUAs). b. Daily aggregate estimates at the country and subnational region levels disseminated via public APIs at CMU and UMD. c. Weekly and monthly aggregate estimates broken out by respondent characteristics (e.g., age, gender, vaccination status) at the country and subnational administrative level-1 region-level disseminated via publicly available CSV-formatted contingency tables. This collection currently only contains the aggregate data, contingency tables and associated documentation. The microdata are forthcoming.

The Veterans Metrics Initiative Transitioning Veterans Survey was designed to examine well-being as veterans transition from military to civilian life for three years from 2016 to 2019, and identify the use of transition and reintegration programs. The study aims are to: Document veteran well-being in four key domains--vocation, finances, mental and physical health, and social relationships--over the first three years of the transition from military to civilian life. Describe programs that are used by veterans as they reintegrate into civilian life, distill them into their components, and identify common components across programs. Examine the link between common program components and veteran well-being, and between program components and veteran characteristics or subgroups. The study is administratively directed by the Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc. (HJF).

The Collaborative Psychiatric Epidemiology Surveys (CPES) were initiated in recognition of the need for contemporary, comprehensive epidemiological data regarding the distributions, correlates and risk factors of mental disorders among the general population with special emphasis on minority groups. The primary objective of the CPES was to collect data about the prevalence of mental disorders, impairments associated with these disorders, and their treatment patterns from representative samples of majority and minority adult populations in the United States. Secondary goals were to obtain information about language use and ethnic disparities, support systems, discrimination and assimilation, in order to examine whether and how closely various mental health disorders are linked to social and cultural issues. To this end, CPES joins together three nationally representative surveys: the NATIONAL COMORBIDITY SURVEY REPLICATION (NCS-R), the NATIONAL SURVEY OF AMERICAN LIFE (NSAL), and the NATIONAL LATINO AND ASIAN AMERICAN STUDY (NLAAS). These surveys collectively provide the first national data with sufficient power to investigate cultural and ethnic influences on mental disorders. In this manner, CPES permits analysts to approach analysis of the combined dataset as though it were a single, nationally representative survey. Each of the CPES surveys has been documented in a comprehensive and flexible manner that promotes cross-survey linking of key data and scientific constructs.