Crime Survey for England and Wales (CSEW) and Home Office police recorded crime data, by quarterly time periods.

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

Official disaggregated data sets of offenses in different locations in the U.S. and the U.K.

Annual data from the Crime Survey for England and Wales (CSEW) and metal theft offences recorded by the police, including demographic and offence type breakdowns and time series data.

The crime rate in London was 106.4 crime offences per thousand people for the 2024/25 reporting year, compared with 105.8 in the previous year. Between 2015/16 and 2019/20, the crime rate in the UK capital increased in every reporting year. The sudden drop in 2019/20 was due to the COVID-19 pandemic causing a sharp reduction in certain types of crime, such as robbery and theft. Crime patterns in the capital Overall there were 951,803 crimes reported by the police in London in 2024/25, compared with 938,020 in the previous reporting year. Types of crime that have increased recently include violent crimes, shoplifting, and theft from the person offences. One positive is that the number of homicide offences in London has fallen to much lower levels than seen in the late 2010s. 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 South Yorkshire. 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due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police.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 2024/25, the budget for the Metropolitan Police was over five billion pounds, while the number of officers in 2024 increased to around 35,310.

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 crime rate in the United Kingdom was highest in England and Wales in 2024/25, at **** crimes per 1,000 people, compared with Scotland, which had **** crimes per 1,000 population, and Northern Ireland, at **** crimes per 1,000 people in 2023/24. During this time period, the crime rate of England and Wales has usually been the highest in the UK, while Scotland's crime rate has declined the most, falling from **** crimes per 1,000 people in 2002/03, to just **** by 2021/22. Overall crime on the rise In 2024/25, there were approximately **** million crimes recorded by the police in England and Wales. Although this was a slight decline on the previous two years, it was still far higher than during the mid-2010s. While crime declined quite significantly between 2002/03 and 2013/14, this trend went into reverse in subsequent years. While there are no easy explanations for the recent uptick in crime, it is possible that reduced government spending on the police service was at least partly to blame. In 2009/10, for example, government spending on the police stood at around **** billion pounds, with this cut to *****billion in 2013/14. One of the most visible consequences of these cuts was a sharp reduction in the number of police officers in the UK. Between 2010 and 2017, the number of officers fell by 20,000, although the number of officers returned to pre-austerity levels by the 2020s. A creaking justice system During the period of austerity, the Ministry of Justice as a whole saw its budget sharply decline, from *** billion pounds in 2009/10 to just **** billion by 2015/16. Although there has been a reversal of the cuts to budgets and personnel in the justice system, the COVID-19 pandemic hit the depleted service hard in 2020. A backlog of cases grew rapidly, putting a strain on the ability of the justice system to process cases quickly. In 2022, for example, it took on average *** days for a crown court case to go from offence to conclusion, compared with *** days in 2018. There is also the issue of overcrowding in prisons, with the number of prisoners in England and Wales dangerously close to operational capacity in recent years.

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)

Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2024.

When incidents happened, information about offenders, the victim’s perception of the incident, and what items were stolen. Annual data from the Crime Survey for England and Wales (CSEW).

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 is 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 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. Further information 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. Secure Access 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’. The central aim of the first British Crime Survey was to estimate the incidence of victimisation of selected types of crime among the adult population over a given period, to describe the circumstances under which people became victims of crime and assess the consequences for them of becoming victims. The design of the survey drew very heavily on experience from previous victim surveys - particularly the U.S. National Crime Survey and victim surveys in Canada and the Netherlands.The design of this survey had, however, some individual features arising from its particular objectives and the circumstances and constraints under which it was carried out. These features are described in more detail in the publication by Hough and Mayhew (1983), listed below under `References/Reports by Principal Investigators'. This first sweep of the British Crime Survey was also conducted in Scotland, as well as in England and Wales. Conditions of access differ for the Scottish data files from those which cover England and Wales. This study, SN:4368, includes only the Scottish data. The data for England and Wales are held under SN:1869. Users who need data for all three countries (Scotland, England and Wales) must place an order for both datasets. For the second edition of this study (December 2002), the Scottish Executive deposited a new set of data files, including new variables UNIQID and SWEEP (unique identifier and sweep number). The UK Data Archive previously held only the data deposited by the Home Office. Main Topics: Respondents were asked a series of screening questions to establish whether or not they had been the victims of crime during the reference period, and a series of very detailed questions about the incidents they reported. Basic descriptive background information on the respondents and their households was also collected to allow analysis of the sorts of people who do and do not become victims. Other information collected was on fear of crime, contact with the police, lifestyle, and self-reported offending. Multi-stage stratified random sample Face-to-face interview Self-completion 1982 ADVICE AGE ALCOHOL USE ALCOHOLIC DRINKS ANXIETY ARREST ASSAULT ATTITUDES BICYCLES BUILDINGS BURGLARY CAR PARKING AREAS CHILDREN CLUBS COMMUTING CONDITIONS OF EMPLO... CONSUMER GOODS CONVENTIONAL WEAPONS COSTS CRIME AND SECURITY CRIME PREVENTION CRIME VICTIMS CRIMINAL DAMAGE CRIMINAL INVESTIGATION CRIMINALS CULTURAL GOODS Crime and law enfor... DISTANCE MEASUREMENT DOGS DOMESTIC APPLIANCES DOMESTIC RESPONSIBI... DOMESTIC SAFETY DRINKING OFFENCES DRIVING ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND EMOTIONAL STATES EMPLOYMENT ETHNIC GROUPS FAMILY MEMBERS FEAR OF CRIME FINANCIAL COMPENSATION FIRE FRIENDS FULL TIME EMPLOYMENT GENDER GOVERNMENT ORGANIZA... HEADS OF HOUSEHOLD HOME OWNERSHIP HOUSEHOLD HEAD S EC... HOUSEHOLD HEAD S OC... HOUSEHOLD INCOME HOUSEHOLDS HOUSING HOUSING TENURE HUMAN BEHAVIOUR HUMAN SETTLEMENT INDUSTRIES INJURIES INSURANCE INTERPERSONAL CONFLICT INTERPERSONAL RELAT... INTRUDER ALARM SYSTEMS JOB DESCRIPTION JOB HUNTING JOB REQUIREMENTS JUDGMENTS LAW LANDLORDS LEAVE LEISURE TIME ACTIVI... LOCATION LOCKS MARITAL STATUS MEDICAL CARE MONEY MOTOR VEHICLES NEIGHBOURHOODS OCCUPATIONS OFFENCES OFFENSIVE TELEPHONE... PART TIME EMPLOYMENT PAYMENTS PERFORMING ARTS PERSONAL CONTACT PERSONAL SAFETY PHYSICIANS POLICE COMMUNITY RE... POLICE SERVICES POLICING PRISON SENTENCES PUNISHMENT RELIGIOUS ATTENDANCE RENTED ACCOMMODATION RESIDENTIAL MOBILITY RETIREMENT ROAD ACCIDENTS ROBBERY SATISFACTION SELF EMPLOYED SEXUAL ASSAULT SEXUAL OFFENCES SICK LEAVE SOCIAL ACTIVITIES L... SOCIAL HOUSING SOCIAL SUPPORT SPORT SPOUSES STRUCTURAL ELEMENTS... SUPERVISORS Scotland Social behaviour an... TAX EVASION TELEPHONES THEFT THEFT PROTECTION TIME TRAFFIC OFFENCES TRANSPORT TRAVEL TRESPASS UNEMPLOYED URBAN AREAS VISITS PERSONAL WAGES WALKING WITNESSES WORKERS WORKPLACE

Uk Recorded Crime Offence Ref

This dataset contains recorded crime offence reference data with various classification schemes.

  Dataset Info

Rows: 106 Columns: 6 Features: offence_code, offence_description, old_prc_offence_group, old_offence_sub_group, new_ons_offence_group, new_ons_sub_offence_group

  Column Descriptions

offence_code: Unique code identifying the offense offence_description: Detailed description of the offense old_prc_offence_group: Previous… See the full description on the dataset page: https://huggingface.co/datasets/besartshyti/uk-recorded-crime-offence-ref.

Three crime data sources were collected and merged for this study. All three crime sources were either only reporting on the U.S. state of Kentucky (KOOL and Louisville Open Data), or filtered to only contain results for the U.S. state of Kentucky (FBI). Each data source contains unique features such as crime classifications, and unique challenges in collection and cleaning.

The United States Federal Bureau of Investigation (FBI) issues a variety of query-able crime related data on their website. This data is sourced from law enforcement agencies across the U.S. as part of their National Incident-Based Reporting System (NIBRS) and its standards. The goal of gathering, standardizing, and providing this information is to facilitate research into crime and law enforcement patterns. The information is provided as a collection of CSV files with instructions and code for importing into a SQL database. For the purposes of this research, we utilized the the crime databases for the years 2017, 2018 and 2019, containing a total of 1,939,990 unique incidents. The NIBRS_code property denotes the type of crime as assigned by the reporting agency. The human trafficking codes are 40A (Prostitution), 40B (Assisting or Promoting Prostitution), and 370 (Pornography/Obscene Material). The drug incidents were found using codes 35A (Drug/Narcotic Violations) and 35B (Drug Equipment Violations).

The Kentucky Department of Corrections, as a service to the public, provides an online lookup of people currently in its custody called Kentucky Offender Online Lookup (KOOL). This web application offers users tools to search for sets of inmates based on features such as name, crime date, crime name, race, and gender. The data that KOOL searches contains only people who are currently under supervision of the state of Kentucky (or should be under supervision in the case of escape).

The Louisville Open Data Initiative (LOD) is a program from the city of Louisville, Kentucky, U.S.A. to increase the transparency of the city government and promote technological innovation. As part of LOD, a dataset of crime reports is made available online. The records contained within the LOD dataset represent any call for police service where a police incident report was generated. This does not necessarily mean a crime was committed, as an incident report can be generated before an investigation has taken place.

Special Policy Areas in Hackney - effective from 1st August 2018. The effect of adopting a special policy, which the Council refers to as a Special Policy Area (‘SPA’), is to create a rebuttable presumption so that applications for new premises licences and club premises certificates or variations of these authorisations, which are likely to add to the existing cumulative impact will normally be refused or subject to certain limitations, following relevant representations being made. The applicant will need to demonstrate in their operating schedule that there will be no negative cumulative impact on one or more of the licensing objectives in order to rebut any such presumption. The boundaries have been created over OS MasterMap based on several factors such us crimes rates, ambulance and emergency services, noise, cost benefit analysis and behaviour studies. This insight was used to propose two Special Policy Areas which were consulted and reviewed.

In this exercise we will search for supporting data in ArcGIS Online and add it to our map. This may help us explain the patterns and trends in our datasets. In this case, the data is crime data in South Yorkshire

The overall ACE project is motivated by the need to better understand the behaviour of non-state armed groups in perpetrating atrocity crimes such as crimes against humanity, ethnic cleansing and war crimes. The data collection is based on six countries Central African Republic, the Democratic Republic of Congo, Iraq, Nigeria, Syria, and Somalia with a focus on non-state actor perpetrated atrocity events. The aim is to have a fine-grained event data collection of different types of atrocity crimes in these countries. These event types are derived from the Rome Statute. More specifically, the unit of observation in ACE is the event where a named state or non-state actor is involved on a given day in a specific location. Each individual event is covered with the best precision regarding the type of event, location, perpetrator and victims.Since 2010, there has been a 'dramatic resurgence' of violent conflict around the world (United Nations, 2018, p. v). As part of this trend, mass atrocity crimes, defined as genocide, war crimes, crimes against humanity, and ethnic cleansing (GWCE), have become 'the new normal' (Human Rights Watch 2018). At this time of writing, the Global Centre for the Responsibility to Protect (GCR2P) identifies seven countries that are 'currently' experiencing GWCE, three at 'imminent risk', seven of 'serious concern', and thirteen being 'monitored' because they have experienced GWCE in the recent past (Global Centre for the Responsibility to Protect 2019). These crises have seen millions of people killed, tens of thousands raped, and underpin an unprecedented refugee crisis. Although mass violence is not a new phenomenon, non-state armed groups such as Al Qaeda, Islamic State, Boko Haram, Lord's Resistance Army, and Al-Shabaab are increasingly playing a critical role in the perpetration of atrocity crimes leading to key policymakers calling for urgent research on this specific threat (see case for support). Responding to this new reality, the project answers the following primary research question: under what conditions do non-state armed groups perpetrate GWCE? The funding will enable us to develop the first dataset in the world that collects systematic evidence on non-state armed groups perpetrating GWCE, which we call 'Atrocity Crime Events' (ACE) dataset. To do this, we will analyse six countries and three themes. The former refers to the Central African Republic, the Democratic Republic of Congo, Iraq, Nigeria, Syria and Somalia. The latter focuses on i) interactions, for example, between the non-state armed group[s] themselves, other actors such as the government, and external actors such as UN peacekeepers, ii) local factors, for instance, geography, economics, population density, as well as natural resources, and iii) group characteristics, such as age, ideology, and external support. The scientific impact develops in three stages. First, the unique dataset 'ACE' will provide the necessary information to run statistical analysis to explain why, when, and where mass atrocities happen in our six chosen countries. Second, we will develop hypothesis based on our three themes that can be tested through future academic inquiry. Third, the project seeks to drive forward quantitative research into the causes of non-state armed groups perpetrating mass violence. This advance in knowledge will allow us to provide policy recommendations in order to improve international, regional, and national strategies toward mass atrocity prevention with a specific focus on policymakers in the United Nations (UN), the European Union (EU), the United Kingdom (UK), and Africa (the four case study governments and organisations such as the African Union). We will work with three project partners, GCR2P (New York and Geneva), Aegis Trust (Kigali), and Protection Approaches (London), as well as an advisory board consisting of Alex Bellamy, Gyorgy Tatar, Ivan Simonovic, Karen E. Smith, and Kristian Skrede Gleditsch. As part of our impact strategy, we will hold end of project workshops in London, New York, and Kigali. Outputs will include i) publicly available dataset and codebook, ii) six articles in high ranking journals, iii) an Analysis Framework for the United Nations Office on Genocide Prevention and the RtoP, iv) co-created policy reports with each project partner focusing on the UN, the UK, the EU, and African mass atrocity prevention strategies, v) blogposts, vi) infographics, and vii) presentations at conferences and policy-orientated meetings. The data collection methodology is based on coding news reports extracted from LexisNexis. The extraction of news reports from LexisNexis has been narrowed down by using specific search terms for each event type, including the countries in this project. The focus is primarily on English language sources and where necessary, the geography filter is used to narrow down results based on the location of the event. Once a set of news reports have been identified from Lexis Nexis, the coders skim through the reports based on headlines/short descriptions and select to read through the ones that seem to constitute an event (as opposed to, for example, reports about UN meetings to discuss atrocities etc.). The coders then write a short description of the event on the dataset and code the rest of the variables in the dataset with best precision possible. The coding of the events is based on ACE codebook and is conducted by human coders, each specialising in one of the countries in question.