Contributors: United States. Bureau of the Census

Date: 2018-08-13

... The American Indian and Alaska Native Summary File (AIANSF) contains summary data for Native Americans derived from the 2010 Census questionnaire. Covered population and housing subjects include age, sex, tribal affiliation (enrolled or principal tribe), household relationship, household type, household size, family type, family size, group quarters and housing tenure. The data are organized in 71 tables (one variable per table cell) which are iterated for the total population, the total American Indian and Alaska Native population alone, the total American Indian and Alaska Native population alone or in combination with one or more other races, and 1,567 detailed tribes and tribal groupings. Sixty-one tables are presented down to the census tract level and 10 tables down to the county level. Altogether the tables are presented at 76 levels of observation, including the United States as a whole, regions, divisions, states, counties, county subdivisions, places, census tracts, metropolitan statistical areas/micropolitan statistical areas, congressional districts (111th Congress), state legislative districts, school districts, 5-digit ZIP code tabulation areas, American Indian Areas/Alaska Native Areas/Hawaiian Home Lands, tribal subdivisions and tribal census tracts. In the Census Bureau's nomenclature, the population group iterations are called "characteristic iterations" and levels of observation are called "summary levels." The AIANSF tables are also presented for geographic components of some summary levels, e.g., all federally-recognized American Indian reservations collectively within each state or the nation as a whole; all metropolitan statistical areas collectively within each state or the nation as a whole, and the principal cities of metropolitan or micropolitan statistical areas. AIANSF contains 17,271 data files: a file with geographic identification variables (the geographic header record file) and 11 files with the population and housing variables for each characteristic iteration. Together with the data files, the Census Bureau prepared a codebook, Microsoft Access database shell and additional documentation. ICPSR provides the data files in a ZIP archive and the database shell and additional documentation in a second ZIP archive

Contributors: United States. Bureau of the Census

Date: 2018-08-13

... The 2010 Census Modified Race Summary File contains modified population counts for race categories. The modification reconciles the 2010 Census race classification which includes the category "Some Other Race" with race classifications used by some government agencies which lack this residual category. Applying a method it developed, the Census Bureau assigned persons who reported Some Other Race to one or more of five race categories: White; Black or African American; American Indian and Alaska Native; Asian; and Native Hawaiian and Other Pacific Islander. The Census Bureau prepared two comma-delimited plain text data files with the modified race counts tabulated by five-year age groups, gender and Hispanic origin for all counties and county equivalents in the United States. One file covers Alabama through Missouri (STCO-MR2010_AL_MO.csv) and the other Montana through Wyoming (STCO-MR2010_MT_WY.csv). A third file contains the modified race and original Census 2010 race distributions for the United States as a whole (totals only, not broken down by age, gender or Hispanic origin). The Census Bureau produced the third file in two data formats: Excel (US-MR2010-01.xls) and comma-delimited plain text (US-MR2010-01.xls). ICPSR bundled all of the data files in a single ZIP archive. The ICPSR codebook for the Modified Race Summary File comprises two documents prepared by the Census Bureau: a methodology statement and record layout for the two county-level files.

Contributors: Taussig, Heather, Garrido, Edward F.

Date: 2018-08-09

... 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. This study identified risk and protective factors for dating violence (DV) among young adults (ages 18-22) with a history of maltreatment and placement in foster care, and who had enrolled in Fostering Healthy Futures (FHF) during 2002-2009. FHF is a Colorado-based positive youth program for maltreated youth. This study focused on factors that ameliorated the effects of risk to reduce DV perpetration and victimization in young adulthood. The participants were interviewed at three different points during the FHF time frame. That data provided a basis for determining risk and mediating factors which in turn were compared to the current study's DV outcomes. The risk and protective factors included: Mental health Substance abuse Social support Gender Stereotypes Attitudes about Teen DV Communication Skills Perpetration and victimization outcomes were then examined in relation to the risk and protective factors. The collection includes 1 SPSS file: NIJ-2013-VA-CX-0002---2nd-revision---5-17-18.sav (215 cases / 2023 variables).

Contributors: Barranco, Raymond, Harris, Casey

Date: 2018-08-09

... 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. To focus on the socio-cultural (including religious) contextual features that impact violent offending, victimization, and lethal self-harm, the researchers compiled county-level data on suicides, homicides, robbery, assault, religious adherence and demographic characteristics. The collection includes a data file with 62 variables and 3,140 cases in both SPSS and Stata formats. The file Religion_and_Violence_by_Race_Ethnicity__US_Counties__2010.sav is the SPSS version and Religion_and_Violence_by_Race_Ethnicity__US_Counties__2010.dta is the Stata version.

Contributors: Homeier, Diana C.

Date: 2018-08-07

... 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. This study sought to: (1) document the spectrum of injuries and injury characteristics observed among physically-abused older adults reported to Adult Protective Services (APS) and compare those findings to injuries found among non-abused older adults, (2) identify observable injury characteristics and abuse circumstances that healthcare providers, law enforcement and prosecutors consider to be key forensic markers of physical abuse, (3) document information and evidence integral for achieving successful criminal prosecution, and (4) describe approaches that community-based frontline workers can employ to better document evidence of physical abuse. The data included in this collection were collected under a National Institute of Justice-funded project that sought to document the spectrum and characteristics of injuries observed among physically abused, community-dwelling APS clients. The collection includes two SAS datasets: injury.sas7bdat (with 47 variables and 403 cases) and subjectleveldata.sas7bdat (with 122 variables and 165 cases); and three SAS System Program Files: analysis-code-v1.sas, cleaned-injury-datasets-v1.sas, and formats.sas. Demographic variables in the collection are in the subjectleveldata.sas7bdat dataset, and include age, year of birth, gender, race, language, and level of education.

Contributors: Rydberg, Jason, Socia, Kelly M., Cassidy, Michael

Date: 2018-08-07

... 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. This study examined the extent to which contextual factors influenced variation in sex offender sentencing decisions. By law, Pennsylvania trial courts were required to submit all felony and misdemeanor convictions under the Pennsylvania Sentencing Guidelines to the Pennsylvania Commission on Sentencing on a yearly basis. These data were supplemented with county-level data from the American Community Survey, Administrative Office of Pennsylvania Courts' Annual Caseload Statistics of the Unified Judicial System of Pennsylvania, Associated Religion Data Archives, and Pennsylvania Department of State, Voter Registration Statistics Archives. The collection contains 1 SPSS data file (Cleaned-Data-2015-R2-CX-0039.sav (n=318048; 31 variables)). Demographic variables include gender, race, and defendant's age at sentencing.

Contributors: Vickers, Chris, Ziebarth, Nicolas L.

Date: 2018-08-07

... These data are sourced from transcriptions of the original establishment-level schedules from the United States Census of Manufactures taken in 1929, 1931, 1933, and 1935. This dataset combines industries currently archived by ICPSR with new transcriptions. In total, twenty-five industries are included representing some 20 percent of manufacturing output. In addition to information transcribed verbatim from Census schedules, the dataset includes establishment identifiers constructed to link establishments across the censuses. The twenty-five industries included are Agricultural Implements, Aviation, Beverages, Blast Furnaces, Bone Black, Cement, Cigars and cigarettes, Concrete, Glass, manufactured Ice, Ice cream, Linoleum, Macaroni, Malt, Matches, Motor Vehicles, Petroleum Refining, Planing-mill products, Radio, Rubber tires, Soap, Steel works, Cane Sugar, Refining Sugar.

Contributors: Simich, Laura

Date: 2018-08-02

... 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. This study investigates experiences surrounding hate and bias crimes and incidents and reasons and factors affecting reporting and under-reporting among youth and adults in LGBT, immigrant, Hispanic, Black, and Muslim communities in New Jersey and Los Angeles County, California. The collection includes 1 SPSS data file (QB_FinalDataset-Revised.sav (n=1,326; 513 variables)). The collection also contains 24 qualitative data files of transcripts from focus groups and interviews with key informants, which are not included in this release.

Contributors: Lum, Cynthia M., Koper, Christopher S., Willis, James

Date: 2018-08-02

... 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. This study, through a national survey and field studies in both patrols and investigations, examined the crime control and cost-effectiveness of the use of license plate readers (LPRs) within police agencies in the United States. The collection contains 1 SPSS data file (Data-file-for-2013-IJ-CX-0017.sav (n=329; 94 variables)). A demographic variable includes an agency's number of authorized full time personnel.

Contributors: Levenstein, Margaret

Date: 2018-08-01

... This data release is a combination of two surveys of Ph.D. granting U.S. economics departments for the years 1993-2017. The primary source of data is the annual CSWEP survey. These data are supplemented with Universal Academic Questionnaire (UAQ) information when CSWEP data observations are missing for a given institution and year. Finally, data observations that are missing in both surveys are imputed using linear interpolation. This study includes variables on the number of faculty, the number of undergraduate, graduate, and Ph.D. students, and job placement status for Ph.D. graduates. Many of these variables are split out by gender. CSWEP has undertaken the collection of data on gender composition of faculty and students in both Ph.D. granting and non-Ph.D. granting U.S. economics departments since 1972. UAQ is a survey of U.S. economics departments taken each fall. This survey also includes questions on the gender composition of faculty and students.