This spreadsheet contains estimates and margins of error of Vietnam Veterans’ race/ethnicity by state.

Veterans by largest Race and Ethnicity categories, by Health and Human Services Service Area.

This indicator provides the provides the percentage of civilian veterans by race/ethnicity group.

Veterans are persons 18 years and over who ever served on active duty. A civilian veteran refers to persons 18 years or older who served on active duty in any military branch or served in the National Guard or military reserves (only those ever called or ordered to active duty were classified as veterans). It does not include persons currently in active duty.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S2101.

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This report is the first comprehensive report that chronicles the history of racial and ethnic minorities in the military and as Veterans, profiles characteristics of minority Veterans in 2014, illustrates how minority Veterans utilized some of the major benefits and services offered by the VA.

This report is the first comprehensive report that chronicles the history of racial and ethnic minorities in the military and as Veterans, profiles characteristics of minority Veterans in 2014, illustrates how minority Veterans utilized some of the major benefits and services offered by the VA.

Over the past 30 years, racial and ethnic minorities have entered the military in ever-increasing numbers. Ultimately, they will make the transition from Servicemember to Veteran.

This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 15 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence on March 1, 2000. This file also contains data covering noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, sex, race, household relationships, and Hispanic origin, is available for each person in the household enumerated. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR03048.v1. We highly recommend using the ICPSR version as they made this dataset available in multiple data formats.

Main data files comprise 22 variables in three subcategories of risk (political, financial, and economic) for 146 countries for 1984-2021. Data are annual averages of the components of the ICRG Risk Ratings (Tables 3B, 4B, and 5B) published in the International Country Risk Guide. Indices include: political: government stability, socioeconomic conditions, investment profile, internal conflict, external conflict, corruption, military in politics, religion in politics, law and order, ethnic tensions, democratic accountability, and bureaucratic quality; financial: foreign debt, exchange rate stability, debt service, current account, international liquidity; and economic: inflation, GDP per head, GDP growth, budget balance, current account as % of GDP. Table 2B provides annual averages of the composite risk rating. Table 3Ba provides historical political risk subcomponents on a monthly basis from May 2001-February 2022. Also includes the IRIS-3 dataset by Steve Knack and Philip Keefer, which covers the period of 1982-1997 and computed scores for six additional political risk variables: corruption in government, rule of law, bureaucratic quality, ethnic tensions, repudiation of contracts by government, and risk of expropriation. Additional data files provide country risk ratings and databanks (economic and social indicators) for new emerging markets for 2000-2009.

This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, noncash benefits, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. (Occupation and industry were coded using the 1980 Census of Population and Housing occupation and industry classification scheme.) Additional data for persons 15 years old and older are available concerning weeks worked and hours worked per week, reason not working full-time, total income and income components, and residence. This file also contains data covering nine noncash income sources such as food stamps, school lunch programs, employer-provided group health insurance plans, employer-provided pension plans, personal health insurance, Medicaid, Medicare, CHAMPUS or military health care, and energy assistance. Information on demographic characteristics, such as age, race, sex, household relationship, martial status, veteran status, educational background, and Hispanic origin, is available for each person in the household enumerated. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08432.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Gross in- and out-migration statisitcs are provided in this file for each county (or county equivalent) in the United States. Migrant data are stratified by age, race, and sex. Included for each race/sex/age group are data on college attendance, military status, group quarters status, residence abroad in 1975, and total population. Data on country of birth are listed for race/sex strata. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR08471.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

Demographic/occupational data: Associations with SARS-CoV-2 IgG.

Although the value of diversity—in terms of race, ethnicity, gender, and socioeconomic status—to the U.S. military has been subject to debate, preferences for diversity at educational institutions for the military officers are rarely examined systematically. To address this, we investigate whether midshipmen at the U.S. Naval Academy favor prioritizing diversity in student admissions and faculty recruitment using conjoint analysis, a method suited for estimating attitudes on sensitive and politicized issues. The results show strong preferences in favor of applicants from disadvantaged socioeconomic backgrounds and moderate but still positive preferences for members of traditionally underrepresented racial/ethnic groups in both admissions and faculty recruitment. Midshipmen’s preferences with respect to gender are, however, less straightforward. In particular, we find a strong negative preference against gender non-binary applicants and candidates. Our findings suggest that midshipmen’s attitudes reflect both resolved and unresolved debates that resonate throughout the armed forces.

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status.

The Researcher Datasets from the PRS Group provide annual and monthly weighted average risks across countries from 1984 on a wealth of Political, Economic and Financial risk topics for 140 monitored countries. The components of the ICRG Political Risk Rating are Bureaucracy Quality, Corruption, Investment Profile, Government Stability, Socioeconomic Conditions, Internal Conflict, External Conflict, Military in Politics, Religious Tensions, Law and Order, Ethnic Tensions, and Democratic Accountability.

This project sought to investigate a possible relationship between sentencing guidelines and family structure in the United States. The research team developed three research modules that employed a variety of data sources and approaches to understand family destabilization and community distress, which cannot be observed directly. These three research modules were used to discover causal relationships between male withdrawal from productive spheres of the economy and resulting changes in the community and families. The research modules approached the issue of sentencing guidelines and family structure by studying: (1) the flow of inmates into prison (Module A), (2) the role of and issues related to sentencing reform (Module B), and family disruption in a single state (Module C). Module A utilized the Uniform Crime Reporting (UCR) Program data for 1984 and 1993 (Parts 1 and 2), the 1984 and 1993 National Correctional Reporting Program (NCRP) data (Parts 3-6), the Urban Institute's 1980 and 1990 Underclass Database (UDB) (Part 7), the 1985 and 1994 National Longitudinal Survey on Youth (NLSY) (Parts 8 and 9), and county population, social, and economic data from the Current Population Survey, County Business Patterns, and United States Vital Statistics (Parts 10-12). The focus of this module was the relationship between family instability, as measured by female-headed families, and three societal characteristics, namely underclass measures in county of residence, individual characteristics, and flows of inmates. Module B examined the effects of statewide incarceration and sentencing changes on marriage markets and family structure. Module B utilized data from the Current Population Survey for 1985 and 1994 (Part 12) and the United States Statistical Abstracts (Part 13), as well as state-level data (Parts 14 and 15) to measure the Darity-Myers sex ratio and expected welfare income. The relationship between these two factors and family structure, sentencing guidelines, and minimum sentences for drug-related crimes was then measured. Module C used data collected from inmates entering the Minnesota prison system in 1997 and 1998 (Part 16), information from the 1990 Census (Part 17), and the Minnesota Crime Survey (Part 18) to assess any connections between incarceration and family structure. Module C focused on a single state with sentencing guidelines with the goal of understanding how sentencing reforms and the impacts of the local community factors affect inmate family structure. The researchers wanted to know if the aspects of locations that lose marriageable males to prison were more important than individual inmate characteristics with respect to the probability that someone will be imprisoned and leave behind dependent children. Variables in Parts 1 and 2 document arrests by race for arson, assault, auto theft, burglary, drugs, homicide, larceny, manslaughter, rape, robbery, sexual assault, and weapons. Variables in Parts 3 and 4 document prison admissions, while variables in Parts 5 and 6 document prison releases. Variables in Part 7 include the number of households on public assistance, education and income levels of residents by race, labor force participation by race, unemployment by race, percentage of population of different races, poverty rate by race, men in the military by race, and marriage pool by race. Variables in Parts 8 and 9 include age, county, education, employment status, family income, marital status, race, residence type, sex, and state. Part 10 provides county population data. Part 11 contains two different state identifiers. Variables in Part 12 describe mortality data and welfare data. Part 13 contains data from the United States Statistical Abstracts, including welfare and poverty variables. Variables in Parts 14 and 15 include number of children, age, education, family type, gender, head of household, marital status, race, religion, and state. Variables in Part 16 cover admission date, admission type, age, county, education, language, length of sentence, marital status, military status, sentence, sex, state, and ZIP code. Part 17 contains demographic data by Minnesota ZIP code, such as age categories, race, divorces, number of children, home ownership, and unemployment. Part 18 includes Minnesota crime data as well as some demographic variables, such as race, education, and poverty ratio.

Investigator(s): Bureau of Justice Statistics The National Crime Victimization Survey (NCVS) series was designed to achieve three primary objectives: to develop detailed information about the victims and consequences of crime, to estimate the number and types of crimes not reported to police, and to provide uniform measures of selected types of crime. All persons in the United States 12 years of age and older were interviewed in each household sampled. Each respondent was asked a series of screen questions to determine if he or she was victimized during the six-month period preceding the first day of the month of the interview. Screen questions cover the following types of crimes, including attempts: rape, robbery, assault, burglary, larceny, and motor vehicle theft. The data include type of crime; severity of the crime; injuries or losses; time and place of occurrence; medical expenses incurred; number, age, race, and sex of offender(s); and relationship of offender(s) to the victim (stranger, casual acquaintance, relative, etc.). Demographic information on household members includes age, sex, race, education, employment, median family income, marital status, and military history. A stratified multistage cluster sample technique was employed, with the person-level files consisting of a full sample of victims and a 10 percent sample of nonvictims for up to four incidents. The NCVS data are organized by collection quarter, and six quarters comprise an annual file. For example, for a 1979 file, the four quarters of 1979 are included as well as the first two quarters of 1980. NACJD has prepared a resource guide on NCVS. Years Produced: Updated annually

The fighting in some civil wars primarily takes place in a few stable locations, while the fighting in others moves substantially. We posit that rebel groups that do not primarily fight for a specific ethnic group, that receive outside military assistance, or that have relatively weak fighting capacity tend to fight in inconsistent locations. We develop new measures of conflict zone movement to test our hypotheses, based on shifts in the conflict polygons derived from the new Georeferenced Event Dataset (GED) developed by the Uppsala Conflict Data Program (UCDP). Our empirical results provide support for the suggested mechanisms. We find that groups which lack strong ethnic ties and sufficient military strength to compete with government forces in conventional warfare fight in more varied locations. These findings improve our understandings of and expectations for variations in the humanitarian footprint of armed conflicts, the interdependencies between rebel groups and local populations, and the dilemmas faced by government counterinsurgency efforts.

The NCANDS is a federally-sponsored national data collection effort created for the purpose of tracking the volume and nature of child maltreatment reporting each year within the United States.

Units of Response: Report-Child Combination

Type of Data: Administrative

Tribal Data: Unavailable

Periodicity: Annual

Demographic Indicators: Disability;Ethnicity;Housing Status;Military;Race;Sex

SORN: Not Applicable

Data Use Agreement: https://www.ndacan.acf.hhs.gov/datasets/request-restricted-data.cfm

Data Use Agreement Location: https://www.ndacan.acf.hhs.gov/datasets/order_forms/termsofuseagreement.pdf

Granularity: Individual;State

Spatial: United States

Geocoding: FIPS Code;State