Domestic abuse numbers, prevalence, types and victim characteristics, based upon findings from the Crime Survey for England and Wales and police recorded crime.

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 investigators if further information is needed. This study conducted a retrospective analysis of how child sexual abuse cases referred for prosecution in several counties in one New England state over a five year period (2009-2013) progressed through the system. In particular, the study focused on the distribution of the cases' outcomes and factors associated with these outcomes. The collection contains eight SPSS data files: D1_General-Case-Details.sav (n=500; 103 variables) D2_Background-Checks.sav (n=614; 9 variables) D3_Trial-Information.sav (n=89; 123 variables) D4_First-Victim-Details.sav (n=500; 289 variables) D5_Add-Victim-Details.sav (n=54; 289 variables) D6_First-Perp-Details.sav (n=500; 62 variables) D7_Add-Perp-Details.sav (n=60; 62 variables) D8_Medical-Information.sav (n=97; 35 variables) Demographic variables include age, birth date (month and year), gender, race, ethnicity, living arrangements, number of siblings, immigration status and ability to speak English.

Data from across the government on responses to and outcomes of domestic abuse cases in the criminal justice system.

The Drug Abuse Warning Network (DAWN) is a nationally representative public health surveillance system that has monitored drug related emergency department (ED) visits to hospitals since the early 1970s. First administered by the Drug Enforcement Administration (DEA) and the National Institute on Drug Abuse (NIDA), the responsibility for DAWN now rests with the Substance Abuse and Mental Health Services Administration's (SAMHSA) Center for Behavioral Health Statistics and Quality (CBHSQ). Over the years, the exact survey methodology has been adjusted to improve the quality, reliability, and generalizability of the information produced by DAWN. The current approach was first fully implemented in the 2004 data collection year.
DAWN relies on a longitudinal probability sample of hospitals located throughout the United States. To be eligible for selection into the DAWN sample, a hospital must be a non-Federal, short-stay, general surgical and medical hospital located in the United States, with at least one 24-hour ED. DAWN cases are identified by the systematic review of ED medical records in participating hospitals. The unit of analysis is any ED visit involving recent drug use. DAWN captures both ED visits that are directly caused by drugs and those in which drugs are a contributing factor but not the direct cause of the ED visit. The reason a patient used a drug is not part of the criteria for considering a visit to be drug-related. Therefore, all types of drug-related events are included: drug misuse or abuse, accidental drug ingestion, drug-related suicide attempts, malicious drug poisonings, and adverse reactions. DAWN does not report medications that are unrelated to the visit.
The DAWN public-use dataset provides information for all types of drugs, including illegal drugs, prescription drugs, over-the-counter medications, dietary supplements, anesthetic gases, substances that have psychoactive effects when inhaled, alcohol when used in combination with other drugs (all ages), and alcohol alone (only for patients aged 20 or younger). Public-use dataset variables describe and categorize up to 22 drugs contributing to the ED visit, including toxicology confirmation and route of administration. Administrative variables specify the type of case, case disposition, categorized episode time of day, and quarter of year. Metropolitan area is included for represented metropolitan areas. Created variables include the number of unique drugs reported and case-level indicators for alcohol, non-alcohol illicit substances, any pharmaceutical, non-medical use of pharmaceuticals, and all misuse and abuse of drugs. Demographic items include age category, sex, and race/ethnicity. Complex sample design and weighting variables are included to calculate various estimates of drug-related ED visits for the Nation as a whole, as well as for specific metropolitan areas, from the ED visits classified as DAWN cases in the selected hospitals.This study has 1 Data Set.

An interactive Excel-based data tool for domestic abuse statistics. It allows users to explore data for their police force area in more detail and compare with other areas.

Based on data from the 1988 Alcohol Supplement of the National Health Interview Survey, Mullahy and Sindelar (1996) (M&S) find, for both men and women, that alcohol abuse results in reduced employment and increased unemployment. The estimates from which they drew these inferences were obtained via the instrumental variables (IV) method, which was implemented in order to account for the potential endogeneity of problem drinking. Though these IV estimates qualitatively supported the prior expectation that problem drinking damages individuals' labour market prospects, they were not found to be statistically significant. The present paper revisits this research and offers a new estimation method which, in addition to accounting for endogeneity, explicitly allows for the inherent non-linearity of the underlying regression structure. The new method is applied to the same data and variable specifications as those used by M&S for the male subpopulation. Consistent with their results, problem drinking is found to have a positive effect on the probability of unemployment and negative effect on the likelihood of being employed. Unlike their result, however, the latter estimate is statistically significant. An appealing feature of the new method is that it accommodates the likely possibility that alcohol abuse effects are heterogeneous with respect to the observed and unobserved characteristics of individuals in the population. To illustrate this fact, abuse effects are computed for two widely differing subgroups of the population. The large differential between the estimated effects for these two subpopulations demonstrates the potential importance of accounting for heterogeneity.

Users can request data and reports related, but not limited to child abuse, neglect, foster care, and child well-being. Background The National Data Archive on Child Abuse and Neglect collects data on the well-being of children. The archive is a project of the Family Life Development Center, Department of Human Ecology at Cornell University. The archive collects data sets from the The National Survey of Child Health and Well-being, The Adoption and Foster Care Analysis Reporting System, The National Child Abuse and Neglect Data System, and other data related to child abuse, neglect, victimization, m altreatment, sexual abuse, homelessness, and safety. User functionality Users can access abstracts of data sets which discuss the time period and logistics of collecting the data. There are different requirements for accessing different data sets. All requirements are clearly outlined. All data sets must be ordered through the National Data Archive on Child Abuse and Neglect. Application materials must be mailed to the archive for access permission. Requirements for access vary by amount of personal information included in the data set. Data Notes The chief investigator, the years of data collection and a description of the data set is available on the website for every data set. The website does not convey when new data sets will be added.

The National Household Survey on Drug Abuse (NHSDA) series
measures the prevalence and correlates of drug use in the United
States. The surveys are designed to provide quarterly, as well as
annual, estimates. Information is provided on the use of illicit
drugs, alcohol, and tobacco among members of United States households
aged 12 and older. Questions include age at first use as well as
lifetime, annual, and past-month usage for the following drug classes:
marijuana, cocaine (and crack), hallucinogens, heroin, inhalants,
alcohol, tobacco, and nonmedical use of prescription drugs, including
pain relievers, tranquilizers, stimulants, and sedatives. The survey
covers substance abuse treatment history and perceived need for
treatment, and includes questions from the Diagnostic and Statistical
Manual (DSM) of Mental Disorders that allow diagnostic criteria to be
applied. Respondents are also asked about personal and family income
sources and amounts, health care access and coverage, illegal
activities and arrest record, problems resulting from the use of
drugs, and needle-sharing. Questions introduced in previous NHSDA
administrations were retained in the 2001 survey, including questions
asked only of respondents aged 12 to 17. These "youth experiences"
items covered a variety of topics, such as neighborhood environment,
illegal activities, gang involvement, drug use by friends, social
support, extracurricular activities, exposure to substance abuse
prevention and education programs, and perceived adult attitudes
toward drug use and activities such as school work. Also retained were
questions on mental health and access to care, perceived risk of using
drugs, perceived availability of drugs, driving behavior and personal
behavior, and cigar smoking. Questions on the tobacco brand used most
often were introduced with the 1999 survey and have been retained
through the 2001 survey. Demographic data include gender, race, age,
ethnicity, marital status, educational level, job status, veteran
status, and current household composition. In addition, in 2001 questions on purchase of marijuana were added.This study has 1 Data Set.

The National Household Survey on Drug Abuse (NHSDA) series measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions include age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covers substance abuse treatment history and perceived need for treatment, and includes questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. Respondents are also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous NHSDA administrations were retained in the 1999 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, gang involvement, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving behavior and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

Number and percentage of Canadians who experienced physical or sexual abuse before the age of 15, by selected demographic characteristics.

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

This dataset evaluates 'Ever-partnered women aged 18 years and over who experienced violence or emotional abuse by a partner they lived with'. Cells in this table have been randomly adjusted to avoid the release of confidential data. Discrepancies may occur between sums of the component items and totals. 'Physical violence' includes physical assault and/or physical threat. 'Total violence' includes physical violence and/or sexual violence. 'Total ever-partnered women' includes all women who have or had a partner since the age of 15. 'Has a disability or long-term health condition' refers to a person who was defined as having a disability or long-term health condition if they had one or more conditions which had lasted, or were likely to last, for six months or more, and that restricted every day activities. People were identified as having a profound or severe core-activity limitation if they required help or supervision for one or more core activities, such as self-care, mobility or communication. For further information refer to the Glossary. Further, a specific requirement of the PSS was that interviews were conducted in private. Where a respondent required the assistance of another person to communicate with the interviewer, proxy interviews were conducted for a limited amount of the survey and this data was not retained on the final weighted file. Therefore it is likely that the PSS will under represent those with a profound or severe disability. For more details regarding proxy interviews refer to the Proxy section of the Survey Development and Data Collection page of the Personal Safety Survey, Australia: User Guide, 2016 (cat. no. 4906.0.55.003). Approximately 33% of respondents who reported a profound/severe disability, were not included in the final sample due to proxy use, or opting out. 'Australia' includes external territories. 'Main English speaking countries' includes Canada, Republic of Ireland, New Zealand, South Africa, United Kingdom and United States of America. 'Other countries' are inadequately described.

Data come from: the main study “ABUEL” (ELder ABUse: A multinational prevalence survey), regarding on the whole a sample of 4,467 not demented randomly selected individuals aged 60-84 years (males and females). It was a multinational and cross-sectional prevalence survey on elder abuse, which in 2009 was conducted by face-to-face interviews to older people in seven urban European cities (Ancona, in Italy; Athens, in Greece; Granada, in Spain; Kaunas, in Lithuania; Stuttgart, in Germany; Porto, in Portugal, and Stockholm, in Sweden). The present dataset includes only older men (n=1908), who were interviewed to explore their abuse exposure during the past 12 months (last year).

Measures include the following: Abuse (Psychological, Physical, Injury, Sexual, financial); Abuse chronicity (frequency of acts: 1, 2, 4, 8, 15, 25 times); Abuse severity (minor, severe acts); Depression and anxiety (HADS scale: high scores correspond to high depression/anxiety levels); Somatic symptoms (GBB scale: the higher the scores, the more one is affected); Social support (MSPSS scale: from family, significant others, and friends; high scores correspond to high perceived social support); Alcohol use and smoking (yes/no format); Demographics/socio-economics (country, age, marital status, ethnic background; educational level; still on work; current or past main profession; main source of financial support; with whom the participants lived; and number of people at home including the respondent); Financial strain (concerns with how to make ends meet); Foreign (whether the participants were migrants or indigenous inhabitants). Finally, perpetrator variables were assessed in form of sex (women/men) and relation to the victim (e.g. spouse/cohabitant, children/grandchildren, other relatives, friends, neighbors) in a yes/no format.

The dataset is provided in open format (xlsx) and includes 3 sheets: “numeric” regarding the unlabelled dataset used for statistics elaboration; “labelled” regarding labelled dataset with variables and related labelled items; and “var. list” regarding the complete variables list and variables labels we used.

Characteristics of women in England and Wales who are most at risk of being abused by a partner, year ending March 2015 to year ending March 2017.

Abstract (en): The Treatment Episode Data Set -- Admissions (TEDS-A) is a national census data system of annual admissions to substance abuse treatment facilities. TEDS-A provides annual data on the number and characteristics of persons admitted to public and private substance abuse treatment programs that receive public funding. The unit of analysis is a treatment admission. TEDS consists of data reported to state substance abuse agencies by the treatment programs, which in turn report it to SAMHSA. A sister data system, called the Treatment Episode Data Set -- Discharges (TEDS-D), collects data on discharges from substance abuse treatment facilities. The first year of TEDS-A data is 1992, while the first year of TEDS-D is 2006. TEDS variables that are required to be reported are called the "Minimum Data Set (MDS)", while those that are optional are called the "Supplemental Data Set (SuDS)". Variables in the MDS include: information on service setting, number of prior treatments, primary source of referral, gender, race, ethnicity, education, employment status, substance(s) abused, route of administration, frequency of use, age at first use, and whether methadone was prescribed in treatment. Supplemental variables include: diagnosis codes, presence of psychiatric problems, living arrangements, source of income, health insurance, expected source of payment, pregnancy and veteran status, marital status, detailed not in labor force codes, detailed criminal justice referral codes, days waiting to enter treatment, and the number of arrests in the 30 days prior to admissions (starting in 2008). Substances abused include alcohol, cocaine and crack, marijuana and hashish, heroin, nonprescription methadone, other opiates and synthetics, PCP, other hallucinogens, methamphetamine, other amphetamines, other stimulants, benzodiazepines, other non-benzodiazepine tranquilizers, barbiturates, other non-barbiturate sedatives or hypnotics, inhalants, over-the-counter medications, and other substances. Created variables include total number of substances reported, intravenous drug use (IDU), and flags for any mention of specific substances. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. State laws require certain substance abuse treatment programs to report all of their admissions and discharges to the State. In all States, treatment programs receiving any public funds are required to provide the data on both publicly and privately funded clients. In some States, programs that do not receive public funds are required to provide data as well. On the other hand, there are some instances in which information is provided only for clients whose treatment is funded through public monies. TEDS collects this data from the States on all admissions and discharges aged 12 or older. TEDS-A presents only the admission data. Smallest Geographic Unit: Core-Based Statistical Area (CBSA) 2013-11-27 Updated and released variable-level ddi file.2012-07-19 The recodes for the variables DETNLF and DETCRIM have been revised to provide greater utility in using these variables in analysis. Also, in Appendix B of the codebook the recode table now shows the original percentages of each value for select variables.2011-05-04 Cases where age was missing have been excluded from the dataset. Minor changes to some variable labels, value labels, and question text were made to better align the variables with the information presented in the TEDS Admissions manual.2010-04-12 Improvements were made to align the data and question text with information provided in the admissions manual. Also, changes were made in the recoding of the variables for age, race, and pregnancy status. The variable SERVSET was renamed to SERVSETA to distinguish it from the service setting variable in the TEDS Discharge data.2006-12-12 A new variable (alcdrug) has been added. The width of a few other variables ...

Abstract (en): The Treatment Episode Data Set -- Discharges (TEDS-D) is a national census data system of annual discharges from substance abuse treatment facilities. TEDS-D provides annual data on the number and characteristics of persons discharged from public and private substance abuse treatment programs that receive public funding. Data collected both at admission and at discharge is included. The unit of analysis is a treatment discharge. TEDS-D consists of data reported to state substance abuse agencies by the treatment programs, which in turn report it to SAMHSA. A sister data system, called the Treatment Episode Data Set -- Admissions (TEDS-A), collects data on admissions to substance abuse treatment facilities. The first year of TEDS-A data is 1992, while the first year of TEDS-D is 2006. TEDS-D variables that are required to be reported are called the "Minimum Data Set (MDS)", while those that are optional are called the "Supplemental Data Set (SuDS)". Variables unique to TEDS-D, and not part of TEDS-A, are the length of stay, reason for leaving treatment, and service setting at time of discharge. TEDS-D also provides many of the same variables that exist in TEDS-A. This includes information on service setting, number of prior treatments, primary source of referral, gender, race, ethnicity, education, employment status, substance(s) abused, route of administration, frequency of use, age at first use, and whether methadone was prescribed in treatment. Supplemental variables include: diagnosis codes, presence of psychiatric problems, living arrangements, source of income, health insurance, expected source of payment, pregnancy and veteran status, marital status, detailed not in labor force codes, detailed criminal justice referral codes, days waiting to enter treatment, and the number of arrests in the 30 days prior to admissions (starting in 2008) . Substances abused include alcohol, cocaine and crack, marijuana and hashish, heroin, nonprescription methadone, other opiates and synthetics, PCP, other hallucinogens, methamphetamine, other amphetamines, other stimulants, benzodiazepines, other non-benzodiazepine tranquilizers, barbiturates, other non-barbiturate sedatives or hypnotics, inhalants, over-the-counter medications, and other substances. Created variables include total number of substances reported, intravenous drug use (IDU), and flags for any mention of specific substances. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Created online analysis version with question text.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes.. State laws require certain substance abuse treatment programs to report all of their admissions and discharges to the State. In all States, treatment programs receiving any public funds are required to provide the data on both publicly and privately funded clients. In some States, programs that do not receive public funds are required to provide data as well. On the other hand, there are some instances in which information is provided only for clients whose treatment is funded through public monies. TEDS collects this data from the States on all admissions and discharges aged 12 or older. TEDS-D presents data on the discharges, as well as the data for the discharges that was collected at admission. Smallest Geographic Unit: Core-Based Statistical Area (CBSA) 2013-11-27 Updated and released variable-level ddi file.2012-11-02 The data for this collection have been updated with a new data extract, current as of October 10, 2011.2012-01-30 Changes were made to provide greater utility to the dataset. The variables DETNLF and DETCRIM have been modified in how they were previously recoded. The recode table in the codebooks now show the original percentages of each value for select variables. The order of the variables in the dataset now coincides with the order of the variables in the codebook.2011-02-10 Cases where age was missing have been excluded from the dataset. Minor changes to some variable labels...

The purpose of this study was to provide a definitive test of whether batterer programs and varying intensities of judicial monitoring reduce reoffending among domestic violence offenders. Study enrollment took place between July 23, 2002, through February 27, 2004. In Part 1, Batterer Program Experiment Data, convicted male domestic violence offenders from court parts AP10 (Pretrial Appearances) or TAP2 (Trials) of the Bronx Misdemeanor Domestic Violence Court were randomly assigned into one of four experimental conditions. The four conditions were batterer program plus monthly judicial monitoring (n = 102), batterer program plus graduated monitoring (n = 100), monthly monitoring only (n = 109), and graduated monitoring only (n = 109). Defendants assigned to a batterer program completed either the Domestic Violence Accountability Program (DVAP) run by Safe Horizon or the Men's Choices Program run by the Fordham Tremont Community Mental Health Center. The offenders were tracked for at least 12 months after sentencing, and for up to 18 months for most of the men, to determine whether they fulfilled the conditions of their sentence, were rearrested for domestic violence, or were reported by the victim to have engaged in new incidents of abuse. Using each offender's New York State criminal identification number, complete criminal record files, including prior criminal history and recidivism, were obtained from the New York State Division of Criminal Justice Services (DCJS). Victims were interviewed about new domestic incidents committed within one year of sentencing. In Part 2, Monitoring Experiment Data, a quasi-experimental study using propensity score matching compared recidivism outcomes between the randomized offenders in Part 1 and a control group of conditional discharge (CD) offenders convicted of identical offenses, but who, as a result of the normal sentencing process, received neither a batterer program nor any form of monitoring. The propensity score predicted the probability of inclusion in the randomized trial (Part 1) sample, based not on actual membership in that sample, but on the statistical probability of membership in it, as computed from the observed set of background characteristics. Each offender in the randomized trial was then matched to the offender in the CD only group with the nearest propensity score. Sometimes multiple offenders from the the initial trial were matched to the same CD only offender. Variables in both Part 1 and Part 2 of the data set include demographic variables for both the defendants and victims, defendant arrest history, current sentence, assignment to a batterer program, type of judicial monitoring, and victim reports of new incidents of violence after sentencing.

Suburb-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to police in that respective financial year. The Family and Domestic Abuse-related offences datasets are a subset of this, in that a separate file is presented for these offences that were flagged as being of a family and domestic abuse nature for that financial year. Consequently the two files for the same financial year must not be added together.

The National Survey on Drug Use and Health (NSDUH) series (formerly titled National Household Survey on Drug Abuse) measures the prevalence and correlates of drug use in the United States. The surveys are designed to provide quarterly, as well as annual, estimates. Information is provided on the use of illicit drugs, alcohol, and tobacco among members of United States households aged 12 and older. Questions include age at first use as well as lifetime, annual, and past-month usage for the following drug classes: marijuana, cocaine (and crack), hallucinogens, heroin, inhalants, alcohol, tobacco, and nonmedical use of prescription drugs, including pain relievers, tranquilizers, stimulants, and sedatives. The survey covers substance abuse treatment history and perceived need for treatment, and includes questions from the Diagnostic and Statistical Manual (DSM) of Mental Disorders that allow diagnostic criteria to be applied. The survey includes questions concerning treatment for both substance abuse and mental health related disorders. Respondents are also asked about personal and family income sources and amounts, health care access and coverage, illegal activities and arrest record, problems resulting from the use of drugs, and needle-sharing. Questions introduced in previous administrations were retained in the 2002 survey, including questions asked only of respondents aged 12 to 17. These "youth experiences" items covered a variety of topics, such as neighborhood environment, illegal activities, gang involvement, drug use by friends, social support, extracurricular activities, exposure to substance abuse prevention and education programs, and perceived adult attitudes toward drug use and activities such as school work. Several measures focused on prevention related themes in this section. Also retained were questions on mental health and access to care, perceived risk of using drugs, perceived availability of drugs, driving and personal behavior, and cigar smoking. Questions on the tobacco brand used most often were introduced with the 1999 survey and have been retained through the 2002 survey. Demographic data include sex, race, age, ethnicity, marital status, educational level, job status, veteran status, and current household composition. This study has 1 Data Set.

Demographic information is excluded from the datafile given the risk of identification.