Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

This dataset provides police recorded crime counts and related resident population estimates for all violence and burglary (housebreaking in Scotland) (data on burglary and violence is provided separately) for the financial years 2004-5 to 2015-16. This is a longitudinal data set with data aggregated by year to financial years (1st April in one year to 31st March in following year) for the years 2004-5 to 2015-16 inclusive. Data runs from 1st April 2004 as this is the date from which all nations had national crime recording standards for police recorded crime. The dataset has been prepared to provide comparative data at the regional level - in this case - local authority districts for Scotland, and Community Safety Partnerships (CSPs) as at 2015-16 in England and Wales. Data for England and Wales are directly comparable. As Scotland, and England and Wales, have different legal systems, and different police crime recording standards, the recorded crime definitions of violence and burglary (housebreaking) used here aim to provide the best available comparable data between the countries, but precise definitions of violence and burglary (housebreaking) used in the Scottish, and the English and Welsh, legal systems are not the same. Community Safety Partnerships (CSPs), previously also called Crime and Disorder Reduction Partnerships, are comprised of one or more English or Welsh district or unitary local authorities. Over time, some CSPs have merged and / or added additional local authorities to the partnership, this may also lead to change of partnership name. The CSPs used here are those current as listed in Home Office open data tables on recorded crime for 2015-16 (downloaded in February 2017). Police recorded crime data are data reported to and recorded by the police. Not all crimes are reported to the police, and not all reported crime are subsequently recorded. Data used from England Wales to derive this dataset do not have National Statistics status, this was withdrawn in January 2014. Data for Scotland had National Statistics status withdrawn in July 2014 but reinstated in September 2016. These data are derived entirely from open data as defined in the Open Government Licence version 3 (OGL3).

The Applied Quantitative Methods Network (AQMeN) Phase II is a Research Centre that aims to develop a dynamic and pioneering set of projects to improve our understanding of current social issues in the UK and provide policy makers and practitioners with the evidence to build a better future. Three principal cross-cutting research strands will exploit existing high-quality data resources: Education and Social Stratification will focus on social class differences in entry to, progression in and attainment at tertiary education and how they affect individuals' labour market outcomes and their civic participation; Crime and Victimisation will explore the dramatic change in crime rates in Scotland and other jurisdictions and examines the determinants and impact of criminal careers amongst populations of offenders; and Urban Segmentation and Inequality which will create innovative new measures of social segmentation and combine these with cutting-edge longitudinal and sorting-model techniques to explore the causes of neighbourhood segmentation, household location choice and neighbourhood inequalities. Five additional projects will focus on the referendum on Scottish independence, location dynamics and ethnicity and exploiting existing datasets. The research will fed into training activities and knowledge exchange events aimed at boosting capacity in quantitative methods amongst the UK social science community.

Recorded crime figures for CSP areas. Number of offences for the last two years, percentage change, and rates per 1,000 population for the latest year.

Numbers of recorded offences, and rates of offences per thousand population, by broad crime grouping, by financial year and borough.

Rate is given as per thousand population, and are calculated using mid-year population from the first part of the financial year eg For Financial year 2008-09, mid-year estimates for 2008 are used.

Offences: These are confirmed reports of crimes being committed. All data relates to "notifiable offences" - which are designated categories of crimes that all police forces in England and Wales are required to report to the Home Office
Crime rates are not available for Heathrow due to no population figures

Monthly crime data by borough and ward is available from the Met Police website, available around one month after month end.

The total number of recorded crimes per month is also shown. A fuller breakdown by 32 different types of crime is available on the MPS website.

There were changes to the police recorded crime classifications from April 2012. Therefore caution should be used when comparing sub-groups of crime figures from 2012/13 with earlier years.

Action Fraud have taken over the recording of fraud offences on behalf of individual police forces. This process began in April 2011 and was rolled out to all police forces by March 2013. Due to this change caution should be applied when comparing data over this transitional period and with earlier years.

Link to data on Met Police website.

Crime stats on ONS website

Part of Release: Official Sub-Ward, Ward and Borough level crime counts.

This is the most accurate data available for counting numbers of crimes in London according to official recorded crime types, by the month the offence occurred, and by either borough, ward or sub ward location.**** ****

******The page contains the LSOA level file******

Click here for corresponding ward level data: Recorded Crime Summary Data for London: Ward Level

Click here for corresponding borough level data: Recorded Crime Summary Data for London: Borough Level

Choose from the three data sets (‘Sub-Ward data’, ‘Ward data’ or ‘Borough data’) according to your requirements.

‘Sub-Ward data’ counts the number of crimes in each sub ward area of London (Census Lower Super Output Area or LSOA) per month according to crime type. Use this data if you need to analyse crime data at a sub ward level. Because not all crimes can be matched to a specific LSOA area, you should not use this data set to count crimes by ward or borough. For these purposes use one of the other datasets according to the level of geographic precision you need.

‘Ward data’ counts the number of crimes in each ward area of London per month, according to crime type. Use this data if you need to analyse crime data according to the location of geographic wards. Because not all crimes can be matched to a ward area, you should not use this data set to count crimes by borough. For this purpose use one of the Borough level dataset provided.

‘Borough data’ counts the number of crimes in each borough area of London per month, according to crime type.

Each of the data sets will contain the latest two years of data available. The categories of crime counts within them may change from time to time. Below is a list of the crime types you can currently extract (*only at borough or ward level):

**Minor Category: Major Category **

Murder: ViolenceAgainstThePerson

CommonAssault: ViolenceAgainstThePerson

OffensiveWeapon: ViolenceAgainstThePerson

Harassment: ViolenceAgainstThePerson

Otherviolence: ViolenceAgainstThePerson

AssaultWithInjury: ViolenceAgainstThePerson

WoundingGBH: ViolenceAgainstThePerson

*Rape: SexualOffences

*OtherSexual: SexualOffences

PersonalProperty: Robbery

BusinessProperty: Robbery

BurglaryInADwelling: Burglary

BurglaryInOtherBuildings: Burglary

TheftOrTakingOfMotor: TheftAndHandling

TheftFromMotor: TheftAndHandling

MotorInterferenceAndTampering: TheftAndHandling

TheftFromShops: TheftAndHandling

TheftOrTakingOfPedalCycles: TheftAndHandling

OtherTheftPerson: TheftAndHandling

OtherTheft: TheftAndHandling

HandlingStolenGoods: TheftAndHandling

*CountedPerVictim: FraudOrForgery

*OtherFraudAndForgery: FraudOrForgery

CriminalDamageToADwelling: CriminalDamage

CriminalDamageToOtherBldg: CriminalDamage

CriminalDamageToMotor: CriminalDamage

OtherCriminalDamage: CriminalDamage

DrugTrafficking: Drugs

PossessionOfDrugs: Drugs

OtherDrugOffences: Drugs

GoingEquipped: OtherNotifiableOffences

OtherNotifiable: OtherNotifiableOffences

Each row of data in the data sets contains:

*The number of incidents according to the Month Recorded, the specific crime type, and the Location

*The Month Recorded

*The broad crime type (Major HO category – eg Robbery)

*The specific crime type (Minor HO category – eg Robbery: Personal Property)

*The Location (Sub –Ward, Ward or borough depending on the data set selected)

Data tables relating to offences involving weapons as recorded by police and hospital episode statistics.

Abstract copyright UK Data Service and data collection copyright owner.The Crime Survey for England and Wales (CSEW) asks a sole adult in a random sample of households about their, or their household's, experience of crime victimisation in the previous 12 months. These are recorded in the victim form data file (VF). A wide range of questions are then asked, covering demographics and crime-related subjects such as attitudes to the police and the criminal justice system (CJS). These variables are contained within the non-victim form (NVF) data file. In 2009, the survey was extended to children aged 10-15 years old; one resident of that age range was also selected from the household and asked about their experience of crime and other related topics. The first set of children's data covered January-December 2009 and is held separately under SN 6601. From 2009-2010, the children's data cover the same period as the adult data and are included with the main study.The Telephone-operated Crime Survey for England and Wales (TCSEW) became operational on 20 May 2020. It was a replacement for the face-to-face CSEW, which was suspended on 17 March 2020 because of the coronavirus (COVID-19) pandemic. It was set up with the intention of measuring the level of crime during the pandemic. As the pandemic continued throughout the 2020/21 survey year, questions have been raised as to whether the year ending March 2021 TCSEW is comparable with estimates produced in earlier years by the face-to-face CSEW. The ONS Comparability between the Telephone-operated Crime Survey for England and Wales and the face-to-face Crime Survey for England and Wales report explores those factors that may have a bearing on the comparability of estimates between the TCSEW and the former CSEW. These include survey design, sample design, questionnaire changes and modal changes.More general information about the CSEW may be found on the ONS Crime Survey for England and Wales web page and for the previous BCS, from the GOV.UK BCS Methodology web page.History - the British Crime SurveyThe CSEW was formerly known as the British Crime Survey (BCS), and has been in existence since 1981. The 1982 and 1988 BCS waves were also conducted in Scotland (data held separately under SNs 4368 and 4599). Since 1993, separate Scottish Crime and Justice Surveys have been conducted. Up to 2001, the BCS was conducted biennially. From April 2001, the Office for National Statistics took over the survey and it became the CSEW. Interviewing was then carried out continually and reported on in financial year cycles. The crime reference period was altered to accommodate this. Secure Access CSEW dataIn addition to the main survey, a series of questions covering drinking behaviour, drug use, self-offending, gangs and personal security, and intimate personal violence (IPV) (including stalking and sexual victimisation) are asked of adults via a laptop-based self-completion module (questions may vary over the years). Children aged 10-15 years also complete a separate self-completion questionnaire. The questionnaires are included in the main documentation, but the data are only available under Secure Access conditions (see SN 7280), not with the main study. In addition, from 2011 onwards, lower-level geographic variables are also available under Secure Access conditions (see SN 7311).New methodology for capping the number of incidents from 2017-18The CSEW datasets available from 2017-18 onwards are based on a new methodology of capping the number of incidents at the 98th percentile. Incidence variables names have remained consistent with previously supplied data but due to the fact they are based on the new 98th percentile cap, and old datasets are not, comparability has been lost with years prior to 2012-2013. More information can be found in the 2017-18 User Guide (see SN 8464) and the article ‘Improving victimisation estimates derived from the Crime Survey for England and Wales’. CSEW Historic back series – dataset update (March 2022)From January 2019, all releases of crime statistics using CSEW data adopted a new methodology for measuring repeat victimisation (moving from a cap of 5 in the number of repeat incidents to tracking the 98th percentile value for major crime types). To maintain a consistent approach across historic data, all datasets back to 2001 have been revised to the new methodology. The change affects all incident data and related fields. A “bolt-on” version of the data has been created for the 2001/02 to 2011/12 datasets. This “bolt-on” dataset contains only variables previously supplied impacted by the change in methodology. These datasets can be merged onto the existing BCS NVF and VF datasets. A template ‘merge’ SPSS syntax file is provided, which will need to be adapted for other software formats.For the sixth edition (March 2022), “bolt-on” datasets for the NVF and VF files, example merge syntax and additional documentation have been added to the study to accommodate the latest CSEW repeat victimisation measurement methodology. See the documentation for further details. Main Topics: The dataset includes information from two sections of the survey, the non-victim form questionnaire and the victim form questionnaire. The non-victim form questionnaire gathers respondent-level data: topics covered include fear of crime; perception of local area; local crime rates; victimisation screener questions; experiences of the police; attitudes to the CJS; crime prevention and security; witnessing crime; technology crime; the night-time economy and alcohol disorder; identity fraud; experiences of antisocial behaviour; crime and disorder in town centres and high streets; demographic information. The victim form contains offence-level data. Up to six different incidents are asked about for each respondent. Each of these constitutes a separate victim form and can be matched back to the respondent-level data through the variable ROWLABEL. Topics covered include the nature and circumstances of the incident, details of offenders, security measures, costs, emotional reactions, contact with the CJS and outcomes where known. From October 2016, the self-completion questionnaire modules covering drug use, drinking behaviour, and domestic violence, sexual victimisation and stalking are subject to Controlled data access conditions - see SN 7280. Multi-stage stratified random sample Face-to-face interview 2006 2007 ADMINISTRATION OF J... ADOLESCENTS ADVICE AGE AGGRESSIVENESS AIRPORTS ALCOHOL USE ALCOHOLISM AMPHETAMINES ANABOLIC STEROIDS ANGER ASSAULT ATTITUDES BICYCLES BINGE DRINKING BURGLARY CAMERAS CANNABIS CAR PARKING AREAS CHILDREN CHRONIC ILLNESS CLUBS COCAINE COLOUR TELEVISION R... COMBATIVE SPORTS COMMUNITIES COMMUNITY ACTION COMMUNITY BEHAVIOUR COMMUNITY SAFETY COMMUNITY SERVICE P... COMPUTER SECURITY COMPUTERS COSTS COUNSELLING COURT CASES CREDIT CARD USE CRIME AND SECURITY CRIME PREVENTION CRIME VICTIMS CRIMINAL COURTS CRIMINAL DAMAGE CRIMINAL INVESTIGATION CRIMINAL JUSTICE SY... CRIMINALS CULTURAL GOODS CULTURAL IDENTITY Crime and law enfor... DAMAGE DEBILITATIVE ILLNESS DISCIPLINE DOGS DOMESTIC RESPONSIBI... DOMESTIC VIOLENCE DOORS DRINKING BEHAVIOUR DRIVING DRUG ABUSE ECONOMIC ACTIVITY ECONOMIC VALUE ECSTASY DRUG ELECTRONIC MAIL EMERGENCY AND PROTE... EMOTIONAL DISTURBANCES EMOTIONAL STATES EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY ETHNIC CONFLICT ETHNIC GROUPS EVERYDAY LIFE EXPOSURE TO NOISE England and Wales FAMILIES FAMILY MEMBERS FEAR FEAR OF CRIME FINANCIAL COMPENSATION FINANCIAL RESOURCES FIRE FIRE DAMAGE FIRE SAFETY MEASURES FRIENDS GENDER HARASSMENT HEADS OF HOUSEHOLD HEALTH HEALTH PROFESSIONALS HEROIN HOME CONTENTS INSUR... HOME OWNERSHIP HOSPITALIZATION HOURS OF WORK HOUSEHOLD HEAD S EC... HOUSEHOLD HEAD S OC... HOUSEHOLD INCOME HOUSEHOLDS HOUSING AGE HOUSING TENURE INDUSTRIES INFORMATION MATERIALS INFORMATION SOURCES INJURIES INSURANCE CLAIMS INTERNET ACCESS INTERNET USE INTERPERSONAL COMMU... INTERPERSONAL CONFLICT INTERPERSONAL RELAT... INTRUDER ALARM SYSTEMS JUDGES JUDGMENTS LAW JURIES JUVENILE DELINQUENCY LANDLORDS LAW ENFORCEMENT LEARNING DISABILITIES LEAVE LEGAL PROCEDURE LIGHTING LOCAL GOVERNMENT SE... LOCKS LSD DRUG MAGIC MUSHROOMS MAGISTRATES MARITAL STATUS MEDIATION MEDICAL CARE METHADONE MOBILE PHONES MOTOR VEHICLES NEIGHBOURHOODS NEIGHBOURS NEWSPAPER READERSHIP NEWSPAPERS OFFENCES OFFENSIVE TELEPHONE... ONLINE SHOPPING PAYMENTS PERSONAL CONTACT PERSONAL FASHION GOODS PERSONAL IDENTIFICA... PERSONAL SAFETY POLICE OFFICERS POLICE SERVICES POLICING POLITICAL PARTICIPA... PORNOGRAPHY PRISON SENTENCES PROBATION PROSECUTION SERVICE PUBLIC HOUSES PUBLIC OPINION PUNISHMENT PURCHASING QUALIFICATIONS QUALITY OF LIFE RADIO RECEIVERS RECIDIVISM REFUSE RENTED ACCOMMODATION RESIDENTIAL MOBILITY RESPONSIBILITY RISK ROBBERY SCHOOL PUNISHMENTS SECURITY SYSTEMS SELF EMPLOYED SEXUAL ASSAULT SEXUAL BEHAVIOUR SEXUAL HARASSMENT SEXUAL OFFENCES SHARED HOME OWNERSHIP SICK LEAVE SLEEP DISORDERS SMALL BUSINESSES SMOKING SOCIAL ACTIVITIES L... SOCIAL HOUSING SOCIAL PARTICIPATION SOCIAL SUPPORT SOLVENT ABUSE SORROW SPOUSE S ECONOMIC A... SPOUSES STUDENTS SUPERVISORY STATUS Social behaviour an... THEFT TIED HOUSING TRAFFIC OFFENCES TRAINING TRAINING COURSES TRANQUILLIZERS UNDERAGE DRINKING UNEMPLOYMENT UNWAGED WORKERS VAGRANTS VIDEO RECORDERS VISITS PERSONAL VOLUNTARY WELFARE O... WEAPONS WINDOWS WITNESS INTIMIDATION WITNESSES WORKPLACE YOUNG OFFENDERS YOUTH YOUTH COURTS YOUTH CRIME

The crime rate in London was 105.8 crime offences per thousand people for the 2023/24 reporting year, compared with 100.9 in the previous year. Between 2015/16 and 2019/20 the crime rate in the UK capital increased in every reporting year, with the sudden drop seen in 2019/20 due to the COVID-19 pandemic causing a sharp reduction in certain types of crime such as robbery and theft. Police record over 938,00 crimes in 2023/24 The number of crimes reported by the police in London was 938,020 in 2023/24, compared with 887,870 in the previous reporting year. Although there was a slight dip in overall recorded crime in the aftermath of the pandemic, this was not the case for violent crime in particular remains at elevated levels. One positive is that the number of homicide offences in 2023/24 has remained beneath the 159 reported in 2017/18. Additionally, the Metropolitan Police force area has a lower crime rate than many of the UK's other major police forces, such as West Yorkshire, Greater Manchester, and Merseyside. Police recruitment drive ends era of cuts   The rise in crime in London happened alongside a decline in both personnel and funding for the London Metropolitan Police. Compared with 2010 for example, there were around 3,000 fewer police officers in 2018, while annual funding was reduced to around 3.3 billion pounds between 2013/14 and 2018/19, compared with 3.62 billion in 2012/13. These cuts were due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police. In 2023/24, the budget for the Metropolitan Police was 4.53 billion pounds, while the number of officers in 2023 increased to around 34,900.

There has been little research on United States homicide rates from a long-term perspective, primarily because there has been no consistent data series on a particular place preceding the Uniform Crime Reports (UCR), which began its first full year in 1931. To fill this research gap, this project created a data series on homicides per capita for New York City that spans two centuries. The goal was to create a site-specific, individual-based data series that could be used to examine major social shifts related to homicide, such as mass immigration, urban growth, war, demographic changes, and changes in laws. Data were also gathered on various other sites, particularly in England, to allow for comparisons on important issues, such as the post-World War II wave of violence. The basic approach to the data collection was to obtain the best possible estimate of annual counts and the most complete information on individual homicides. The annual count data (Parts 1 and 3) were derived from multiple sources, including the Federal Bureau of Investigation's Uniform Crime Reports and Supplementary Homicide Reports, as well as other official counts from the New York City Police Department and the City Inspector in the early 19th century. The data include a combined count of murder and manslaughter because charge bargaining often blurs this legal distinction. The individual-level data (Part 2) were drawn from coroners' indictments held by the New York City Municipal Archives, and from daily newspapers. Duplication was avoided by keeping a record for each victim. The estimation technique known as "capture-recapture" was used to estimate homicides not listed in either source. Part 1 variables include counts of New York City homicides, arrests, and convictions, as well as the homicide rate, race or ethnicity and gender of victims, type of weapon used, and source of data. Part 2 includes the date of the murder, the age, sex, and race of the offender and victim, and whether the case led to an arrest, trial, conviction, execution, or pardon. Part 3 contains annual homicide counts and rates for various comparison sites including Liverpool, London, Kent, Canada, Baltimore, Los Angeles, Seattle, and San Francisco.

The research project is a subproject of the research association “Strengthening of integration potentials within a modern society” (Scientific head: Prof. Dr. Wilhelm Heitmeyer, Bielefeld) which contains 17 subprojects and is supported by the ministry of education and research. In almost all the economically highly developed countries violent crime increased significantly in the second part of the last century - in contrast to the long term trend of decline of individual (non-governmental) violence since the beginning of modern times. The authors develop an explanatory approach for these facts which is inspired mainly by Norbert Elias´s civilization theory and Emil Durkheim´s theory on society. Detailed time series on the development of different forms of violent crime are presented and set in relation with certain aspects of economic and social structural changes in three countries and also refer to the changes in integration of modern societies. The analysis deals especially with effectivity and legitimacy of the governmental monopoly of violence, the public beneficial security and power system, forms of building social capital, economic and social inequality, precarity of employment, different aspects of increasing economization of society, changes in family structures and usage of mass media and modern communication technologies. Register of tables in HISTAT: A: Crime statistics A.01 Frequency of types of crimes in different countries (1953-2000) A.02 Suspects by crimes of 100.000 inhabitants of Germany, England and Sweden (1955-1998) A.03 Murders, manslaughter and intentional injuries by other persons by sex of 100.000 persons after the statistics of causes of death (1953-2000) A.04 Clearance rate by types of crimes in Germany, England and Sweden (1953-1997) A.05 Prisoners of 100.000 inhabitants of Germany, Great Britain and Sweden (1950-2000) B: Key indicators for economic development in Germany, Great Britain, Sweden and the USA B1: Data on the overall economic framework B1.01 Percent changes in the real GDP per capita in purchasing power parities (1956-1987) B1.02 Percent changes in GDP per capita in prices from 2000 (1955-1998) B1.03 GDP of Germany, Sweden and the United Kingdom in purchasing power parities in percent og the US GDP (1950-1992) B1.04 Labor productivity index for different countries, base: USA 1996 = 100 (1950-1999) B1.05 GDP per hour of labor in different countries in EKS-$ from 1999 (1950-2003) B1.06 Foreign trade - exports and imports in percent of the GDP of different countries (1949-2003) B1.07 GDP, wages and Unit-Labor-Cost in different countries (1960-2003) B2: Unemployment B2.01 Standardized unemployment rate in different countries with regard to the entire working population (1960-2003) B2.02 Share of long-term unemployed of the total number of unemployed in different countries in percent (1992-2004) B2.03 Youth unemployment in different countries in percent (1970-2004) B2.04 Unemployment rate in percent by sex in different countries (1963-2000) B3: Employment B3.01 Employment rate in percent in different countries (1960-2000) B3.02 Share of fixed-term employees and persons in dependent employment in percent in different countries (1983-2004) B3.03 Share of part-time employees by sex compared to the entire working population in different countries (1973-2000) B3.04 Share of un-voluntarily part-time employees by sex in different countries (1983-2003) B3.05 Share of contract workers in different countries in percent of the entire working population (1975-2002) B3.06 Share of self-employed persons in different countries in percent of the entire working population (1970-2004) B3.07 Shift worker rate in different countries in percent (1992-2005) B3.08 Yearly working hours per employee in different countries (1950-2004) B3.09 Employment by sectors in different countries (1950-2003) B3.10 Share of employees in public civil services in percent of the population between 15 and 64 years in different countries (1960-1999) B3.11 Female population, female employees and female workers in percent of the population between 16 and 64 years in different countries (1960-2000) B3.12 Employees, self-employed persons in percent of the entire working population in different countries (1960-2000) B4: Taxes and duties B4.01 Taxes and social security contributions in percent of the GDP (1965-2002) B4.02 Social expenditure in percent of the GDP (1965-2002) B4.03 Social expenditure in percent of the GDP (1960-2000) B4.04 Public expenditure in percent of the GDP in different countries (1960-2003) B4.05 Education expenditure in percent of GDP (1950-2001) B5: Debt B5.01 Insolvencies in Germany and England (1960-2004) B5.02 Insolvencies with regard to total population in different countries (1950-2002) B5.03 Consumer credits in different countries (1960-2002) C: Income distribution in Germany, Great Britain and Sweden C.01 Income inequality in different countries Einkommensungleicheit in verschiedenen Ländern (1949-2000) C.02 Income inequality after different indices and calculations in different countries (1969-2000) C.03 Redistribution: Decline in Gini-Index through transfers and taxes in percent in different countries (1969-2000) C.04 Redistribution: Decline in Gini-Index through transfers and taxes in percent with a population structure as in the United Kingdom in 1969 in different countries (1969-2000) C.05 Redistribution efficiency: Decline in Gini-/ Atkinson-Index through transfers and the share of social expenditure of the GDP in different countries (1969-2000) C.06 Index for concentration of transfers in different countries (1981-2000) C.07 Distribution of wealth in West-Germany (1953-1998) C.08 Distribution of wealth in the United Kingdom (1950-2000) C.09 Distribution of wealth in Sweden (1951-1999) C.10 Relative income poverty in different countries (1969-2000) C.11 Reduction of poverty in different countries (1969-2000) C.12 Neocorporalism index in different countries (1960-1994) D: Perception of safety D.01 Satisfaction with democracy in different countries (1976-2004) D.02 Revenues and employees in the private security sector in different countries (1950-2001) D.03 Decommodification-Score in different countries (1971-2002) E: Demographics E.01 Birth rates: Birth per 1000 women between 15 and 49 years in different countries (1951-2001) E.02 Fertility rate in different countries (1950-2004) E.03 Marriages per 100.000 persons in different countries (1950-2003) E.04 Share of foreigners of the entire population in different countries (1951-2002) E.05 Internal migration in different countries (1952-2001)

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

United Kingdom UK: Intentional Homicides: per 100,000 People data was reported at 1.202 Ratio in 2016. This records an increase from the previous number of 0.992 Ratio for 2015. United Kingdom UK: Intentional Homicides: per 100,000 People data is updated yearly, averaging 1.399 Ratio from Dec 1995 (Median) to 2016, with 22 observations. The data reached an all-time high of 1.865 Ratio in 2002 and a record low of 0.907 Ratio in 2014. United Kingdom UK: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;

This dataset provides detailed information on the 2019 Index of Multiple Deprivation (IMD) for Birmingham, UK. The data is available at the postcode level and includes the Lower Layer Super Output Area (LSOA) information.Data is provided at the LSOA 2011 Census geography.The decile score ranges from 1-10 with decile 1 representing the most deprived 10% of areas while decile 10 representing the least deprived 10% of areas.The IMD rank and decile score is allocated to the LSOA and all postcodes within it at the time of creation (2019).Note that some postcodes cross over LSOA boundaries. The Office for National Statistics sets boundaries for LSOAs and allocates every postcode to one LSOA only: this is the one which contains the majority of residents in that postcode area (as at 2011 Census).

The English Indices of Deprivation 2019 provide a detailed analysis of relative deprivation across small areas in England. The Crime Deprivation dataset is a key component of this index, measuring the risk of personal and material victimization at the local level. This dataset includes indicators such as recorded crimes for violence, burglary, theft, and criminal damage. It helps identify areas with high levels of crime, guiding policy interventions and resource allocation to improve safety and reduce crime rates.

Sexual offence numbers, prevalence and victim characteristics, including breakdowns by type of incident, sex, victim-perpetrator relationship and location based upon findings from the Crime Survey for England and Wales and police recorded crime.

Abstract copyright UK Data Service and data collection copyright owner. Since the end of the second world war, police recorded crime has risen dramatically in both England and Wales and, to a lesser extent, Scotland. Crime surveys have revealed a less dramatic increase in crime in England and Wales (Mirrlees-Black et al, 1996), and little if any in Scotland (MVA, 1998), and suggest that increases in police recorded crime figures are largely due to an increased propensity for the public to report crime. There is evidence to suggest, however, that there has been a real increase in problem behaviour among young people, paralleled by postwar increases in other psychosocial disorders during the teenage years (Smith and Rutter, 1995). In addition, evidence consistently suggests that the rate of offending among males is higher than that among females, although the gap is starting to narrow. The Edinburgh Study of Youth Transitions and Crime (ESYTC) aims to further our understanding of young people’s involvement in criminal behaviour, and explore the striking differences in offending rates and anti-social behaviour between males and females. It is a longitudinal study involving an entire year group of children, namely those eligible to start first year of secondary school in the City of Edinburgh in 1998. The cohort comprises approximately 4,300 young people who were aged between 11.5 and 12.5 years at the start of the study. Annual sweeps of data collection are conducted, with the intention of tracking the cohort through their teenage years and into early adulthood. The UK Data Archive currently holds data from Waves One to Four. While the study focuses entirely on criminal offending among a generation of young people within the City of Edinburgh, the findings are likely to be of wider national and international relevance and importance. National comparisons will be made with other related studies in Scotland and the rest of the UK (such as crime surveys, health and drug studies, etc). The international dimension will be developed through direct comparisons with cohort studies in Denver, Pittsburgh and Rochester, and links with other studies in Chicago, Philadelphia, Dunedin and Stockholm.