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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.
Official statistics are produced impartially and free from political influence.
Financial overview and grant giving statistics of Covington Domestic Violence Task Force
Statistics on Domestic Households - Table 130-06604 : Domestic households by tenure of accommodation
Domestic Violence Survey 2005 was designed to provide data and indicators about the types and acts of violence against women, children, unmarried females, and the elderly.
The sample is cluster, random, and systematic of two stages: First stage: Selecting cluster, random, and systematic sample of 234 enumeration areas. Second stage: Selecting random sample of households from the selected enumeration areas of the first stage; 18 households were selected from each enumeration area selected during the first stage.
Household, individual
·Ever-married women aged (15-64) Years ·Children aged (5-17) Years ·Unmarried women aged (18 years and over) ·Elderly 65 years and Over
Sample survey data [ssd]
The number of households in the sample was 4,212 households: 2,772 in the West Bank and 1,440 in the Gaza Strip.
The sampling frame consists of a comprehensive sample selected from the Population, Housing, and Establishment Census 1997. The comprehensive sample consists of geographic areas of close size (with an average of 150 households); these are the enumeration areas used in the Census. These areas where used as PSUs at the first stage of sample selection.
The sample is cluster, random, and systematic of two stages: First stage: Selecting cluster, random, and systematic sample of 234 enumeration areas. Second stage: Selecting random sample of households from the selected enumeration areas of the first stage; 18 households were selected from each enumeration area selected during the first stage.
The selection of individuals from the household was so that one married female using the tables of Kish if more than one exist, the selection of one child aged 5-17 years using the tables of Kish, the selection of one unmarried female aged 18 to 64 years using the tables of Kish and the selection of all the elderly 65 years and over.
Face-to-face [f2f]
The questionnaire of the Domestic Violence Survey consists of five main sections; they are:
Section one: Contains introductory data, quality control items, and a list of the household members including data about demographic, social, and economic characteristics such as age, sex, education, employment status, marital status, and refugee status.
Section two: Deals with ever-married women aged 15-64. This section measures types and forms of physical, psychological, and sexual violence a husband subjects his wife to and the types and forms of physical, psychological, and sexual violence a wife subjects her husband to. The section also deals with the political violence of the Israeli forces and settlers.
Section three: Deals with children aged 5-17 and measures the psychological and physical abuse a child is exposed to according to mother's perspective.
Section four: This section deals with unmarried women aged 18 and over and measures the physical and psychological violence females are exposed to by household member.
Section five: This section deals with elderly people aged 65 and over and measures the psychological and physical abuse they are exposed to by household member whom they reside or do not reside with, and the diseases and disabilities they suffer from.
Data editing took place at a number of stages through the processing including: 1. office editing and coding 2. during data entry 3. structure checking and completeness 4. structural checking of SPSS data files
" The overall response rate for the survey was %98.5
Detailed information on the sampling Error is available in the Survey Report.
The advisor of the Domestic Violence Survey reviewed the data for the purpose of evaluating its quality and logic. Some specialist on violence also reviewed the data; they affirmed the data quality. Also, the data evaluation was done through reviewing some regional and international studies and comparison with their results. In general, the entire stages of checks proved the accuracy and high quality of the data.
Financial overview and grant giving statistics of River City Domestic Violence Center
The goal of this study was to identify factors that influence whether city misdemeanor domestic violence cases in which batterers are arrested by police result in dismissals, acquittals, or convictions in the courts, and how these cases are processed. The researchers sought to examine factors that influence court officials' decision-making in domestic violence cases, as well as factors that influence victim and witness reluctance in bringing batterers to successful adjudication. In Part 1 researchers merged pretrial services data with information from police and prosecutors' reports in the urban area under study to answer the following questions: (1) What is the rate of dismissals, acquittals, and convictions for misdemeanor court cases and what are the conditions of these sentences? (2) What factors in court cases are significantly related to whether the disposition is a dismissal, acquittal, or conviction, and how are these cases processed? In Part 2, judges, prosecutors, and public defenders were asked detailed questions about their level of knowledge about, attitudes toward, and self-reported behaviors regarding the processing of domestic violence cases to find out: (1) What roles do legal and extra-legal factors play in decision-makers' self-reported behaviors and attitudes? (2) How do decision-makers rate victim advocate and batterer treatment programs? (3) How do court professionals view the victim's role in the court process? and (4) To what degree do court professionals report victim-blaming attitudes and experiences? For Part 3 researchers used a stratified random sample to select court cases of misdemeanor domestic violence that would be transcribed and used for a content analysis to examine: (1) Who speaks in court and how? and (2) What is considered relevant by different court players? In Parts 4-103 victim surveys and interviews were administered to learn about battered women's experiences in both their personal lives and the criminal processing system. Researchers sought to answer the following questions: (1) How do victim/witnesses perceive their role in the prosecution of their abusers? (2) What factors inhibit them from pursuing prosecution? (3) What factors might help them pursue prosecution? and (4) How consistent are the victims'/witnesses' demographic and psychological profiles with existing research in this area? Domestic violence victims attending arraignment between January 1 and December 31 of 1997 were asked to complete surveys to identify their concerns about testifying against their partners and to evaluate the effectiveness of the court system in dealing with domestic violence cases (Part 4). The disposition of each case was subsequently determined by a research team member's examination of defendants' case files and/or court computer files. Upon case closure victims who had both completed a survey and indicated a willingness to be interviewed were contacted to participate in an interview (Parts 5-103). Variables in Part 1, Pretrial Services Data, include prior criminal history, current charges, case disposition, sentence, victim testimony, police testimony, victim's demeanor at trial, judge's conduct, type of abuse involved, weapons used, injuries sustained, and type of evidence available for trial. Demographic variables include age, sex, and race of defendants, victims, prosecutors, and judges. In Part 2, Professional Survey Data, respondents were asked about their tolerance for victims and offenders who appeared in court more than once, actions taken when substance abuse was involved, the importance of injuries in making a decision, attitudes toward battered women, the role of victim advocates and the police, views on restraining orders, and opinion on whether arrest is a deterrent. Demographic variables include age, sex, race, marital status, and years of professional experience. Variables in Part 3, Court Transcript Data, include number and type of charges, pleas, reasons for dismissals, types of evidence submitted by prosecutors and defense, substance abuse by victim and defendant, living arrangements and number of children of victim and defendant, specific type of abuse, injuries sustained, witnesses to injuries, police testimony, verdict, and sentence. Demographic variables include age and sex of defendant and victim and relationship of victim and defendant. In Part 4, Victim Survey Data, victims were asked about their relationship and living arrangements with the defendant, concerns about testifying in court, desired outcomes of case and punishment for defendant, emotional issues related to abuse, health problems, substance abuse, support networks, other violent domestic incidents and injuries, and safety concerns. Part 5 variables measured victims' safety at different stages of the criminal justice process and danger experienced due to further violent incidents, presence of weapons, and threats of homicide or suicide. Parts 6-103 contain the qualitative interview data.
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The purpose of this project was to evaluate the level of domestic violence prosecution throughout the United States and to promote effective prosecution approaches through dissemination of information. The project sought to identify and connect local attorneys' needs for information with the best knowledge available on the most effective prosecution methods. In order to appraise domestic violence prosecution in the United States, the researchers mailed a survey to a nationally-representative sample of prosecutors to assess prosecution strategies in domestic violence cases (Part 1, Prosecutors' Survey Data). Smaller jurisdictions had such a low response rate to the initial survey that a modified follow-up survey (Part 2, Prosecutors' Follow-Up Data) was administered to those jurisdictions. From these surveys, the researchers identified three sites with pioneering specialized domestic violence prosecution programs: Duluth, Minnesota, King County, Washington, and San Francisco, California. In these three sites, the researchers then conducted a case file analysis of a random sample of domestic violence cases (Part 3, Case File Data). A survey of a random sample of female victims was also undertaken in King County and San Francisco (Part 4, Victim Interview Data). In addition, the researchers conducted on-site evaluations of these three specialized programs in which they interviewed staff about the scope of the domestic violence problem, domestic violence support personnel, the impact of the program on the domestic violence problem, and recommendations for the future. The qualitative data collected from these evaluations are provided only in the codebook for this collection. Parts 1 and 2, the Prosecutors' Surveys, contain variables about case management, case screening and charging, pretrial release policies, post-charge diversion, trial, sentencing options, victim support programs, and office and jurisdiction demographics. Questions cover the volume of domestic violence prosecutions, formal protocols for domestic violence prosecution, ways to deal with uncooperative victims, pro-arrest and no-drop policies, protection orders, types of evidence used, and collaboration with other organizations to prosecute domestic violence cases. In addition, Part 1 includes variables on diversion programs, victim noncompliance, substance abuse problems, victim support programs, and plea negotiations. Variables in Part 3, Case File Data, deal with reporting, initial and final charges, injuries sustained, weapons used, evidence available, protection orders issued, victim cooperation, police testimony, disposition, sentence, costs, and restitution for each domestic violence case. Part 4, Victim Interview Data, includes variables concerning victims' employment history, number of children, and substance abuse, opinions about the charges against the defendant, decision-making in the case, and prosecution strategies, and victims' participation in the case, amount of support from and contact with criminal justice agencies, safety concerns, and performance evaluations of various levels of the criminal justice system.
Financial overview and grant giving statistics of Domestic Violence Intervention Inc.
Gross domestic product is the market value of goods and services produced by labor and property in the United States. The U.S. Bureau of Economic Analysis estimates GDP for each quarter and releases new statistics every month. Quarterly GDP data are seasonally adjusted at annual rates.
Important note for users
Data collection for domestic road freight statistics moved from a paper to online survey midway through 2021. An investigation of the data has concluded that the paper data, pre July to September 2021 (quarter 3), and online data, July to September 2021 (quarter 3) onwards, should not be compared.
A detailed explanation of the methodology change and the impact on the data can be found within the methodology note.
Statistics on the domestic activity of Great Britain-registered Heavy Goods Vehicles (HGVs) operating in the UK, between July 2021 to June 2022.
In the 12 months ending June 2022:
1.65 billion tonnes of goods were lifted by GB-registered HGVs operating in the UK
178 billion tonnes kilometres of goods were moved by GB-registered HGVs operating in the UK
19.7 billion vehicle kilometres were travelled GB-registered HGVs operating in the UK
Please see the full publication for more detailed information on the amount and type of goods carried by GB-registered HGVs, as well as their origin and destination and the distance they travelled. The information is obtained from continuous surveys of businesses that operate road goods vehicles.
Road freight statistics
Email mailto:roadfreight.stats@dft.gov.uk">roadfreight.stats@dft.gov.uk
Media enquiries 0300 7777 878
Statistics on Labour Force, Unemployment and Underemployment (excluding foreign domestic helpers) - Table 210-06301A : Employed persons by age and sex (excluding foreign domestic helpers)
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Statistics illustrates consumption, production, prices, and trade of Domestic Appliances in the World from 2007 to 2024.
Financial overview and grant giving statistics of Huron County Coalition Against Domestic Abuse
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Ministry of Statistics and Programme Implementation - Net Domestic Product by Economic Activity at Constant Prices | gimi9.com
Statistics on Labour Force, Unemployment and Underemployment (excluding foreign domestic helpers) - Table 210-06319A : Median monthly employment earnings (excluding Chinese New Year bonus/double pay) of employed persons by sex (excluding foreign domestic helpers)
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Hong Kong Number of Domestic Household: Incl Bonus: Income Below HKD4,000 data was reported at 118,100.000 Unit in Sep 2018. This records a decrease from the previous number of 143,600.000 Unit for Jun 2018. Hong Kong Number of Domestic Household: Incl Bonus: Income Below HKD4,000 data is updated quarterly, averaging 158,900.000 Unit from Mar 1985 (Median) to Sep 2018, with 135 observations. The data reached an all-time high of 541,600.000 Unit in Jun 1985 and a record low of 81,800.000 Unit in Dec 1997. Hong Kong Number of Domestic Household: Incl Bonus: Income Below HKD4,000 data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.H021: Domestic Households Statistics.
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Sweden SE: Domestic General Government Health Expenditure: % of General Government Expenditure data was reported at 18.356 % in 2015. This records an increase from the previous number of 18.034 % for 2014. Sweden SE: Domestic General Government Health Expenditure: % of General Government Expenditure data is updated yearly, averaging 13.506 % from Dec 2001 (Median) to 2015, with 15 observations. The data reached an all-time high of 18.356 % in 2015 and a record low of 12.393 % in 2001. Sweden SE: Domestic General Government Health Expenditure: % of General Government Expenditure data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of total public expenditure. It indicates the priority of the government to spend on health from own domestic public resources.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
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Hong Kong Number of Domestic Household: Incl Bonus: Income HKD30,000 to HKD39,999 data was reported at 330,500.000 Unit in Jun 2018. This records an increase from the previous number of 323,400.000 Unit for Mar 2018. Hong Kong Number of Domestic Household: Incl Bonus: Income HKD30,000 to HKD39,999 data is updated quarterly, averaging 211,000.000 Unit from Mar 1985 (Median) to Jun 2018, with 134 observations. The data reached an all-time high of 330,500.000 Unit in Jun 2018 and a record low of 7,900.000 Unit in Jun 1985. Hong Kong Number of Domestic Household: Incl Bonus: Income HKD30,000 to HKD39,999 data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong – Table HK.H021: Domestic Households Statistics.
Hong Kong Innovation Activities Statistics - Table 710-86002 : Gross domestic expenditure on R&D by source of funds
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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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.