In Europe, the Baltic countries of Latvia and Lithuania had the highest and third highest homicide rates respectively in 2022. Latvia had the highest rate at over four per 100,000 inhabitants. Meanwhile, the lowest homicide rate was found in Liechtenstein, with zero murders The most dangerous country worldwide Saint Kitts and Nevis is the world's most dangerous country to live in in terms of murder rate. The Caribbean country had a homicide rate of 65 per 100,000 inhabitants. Nine of the 10 countries with the highest murder rates worldwide are located in Latin America and the Caribbean. Whereas Celaya in Mexico was listed as the city with the highest murder rate worldwide, Colima in Mexico was the city with the highest homicide rate in Latin America, so the numbers vary from source to source. Nevertheless, several Mexican cities rank among the deadliest in the world when it comes to intentional homicides. Violent conflicts worldwide Notably, these figures do not include deaths that resulted from war or a violent conflict. While there is a persistent number of conflicts worldwide, resulting casualties are not considered murders. Partially due to this reason, homicide rates in Latin America are higher than those in countries such as Ukraine or the DR Congo. A different definition of murder in these circumstances could change the rate significantly.

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.

In Europe in 2019, England and Wales had the highest reported rate of serious assaults per 100,000 inhabitants, with almost 930 reported incidents. Belgium had the second highest rate with close to 560. Romania had the lowest rate of reported serious assaults, with only 1.46 per 100,000 inhabitant, followed by Lithuania and Albania. Despite this low rate of assault, Lithuania, Albania and Romania had some of the highest homicide rates in Europe, suggesting that there is a discrepancy in how often assaults are reported in these countries, or the methodology behind data collection.

The Balkan countries Montenegro and Albania have the highest murder rates with cases involving firearms in Europe. Perhaps somewhat surprisingly, Sweden came third. The Scandinavian country has seen increasing levels of gang-related violence in recent years.

The crime rate in Germany for 2022 was 6,762 crimes per 100,000 people, making it the first time in seven years in which the crime rate rose compared to the year before. Between 2000 and 2004 the crime rate in Germany increased from 7,625 to 8,037, before declining to 7,253 by 2010. The years between 2010 and 2015 saw an increase in the crime rate, but after 2015, the recent trend of declining crime started, leading to the generally low figures seen in the most recent years. While the uptick in the crime rate in 2022 marks a negative turn compared with these years, the overall crime rate is still much lower on average than in previous decades.

Crime rate highest in cities Germany’s sixteen states are made up of thirteen federal states, and three city states; Berlin, Hamburg and Bremen. These three city states had the highest regional crime rates in Germany, due to only covering urban areas which usually have higher crime rates than rural areas. The large federal state of Bavaria, in the southeast of Germany, had the lowest crime rate in the country at 4,698 crimes per 100,000 people in 2020. Baden-Württemberg, home to the black forest and the city of Stuttgart had the second-lowest crime rate per 100 thousand people in this year, at 4,944.

Notes for publication:

The table presented is based on the data from the Police Crime Statistics (PKS) of the State of Schleswig-Holstein. These are the results of the police investigation before handing them over to the public prosecutor's office or the court. The PKS contains the illegal offences that have become known to the police, including the attempts threatened with punishment, the number of suspects identified and a number of other information on cases, victims or suspects. The data refer to a closed reporting year and are published annually for the previous calendar year.

Table-specific information:

Table 62 (crimes and nationality of non-German suspects)

This dataset contains figures on non-German suspects by nationality recorded in Schleswig-Holstein in the corresponding reporting year.

Structure of the table

The following columns are included:

• Key number of the offence - Crime key number (key of the respective offences or sum key)
• Offence - plain text of the offence or the sum key
• Non-German suspects - Sum of non-German suspects
• Nationality - Number of nationalities
• The preceding number in brackets (1) – (107) denotes the column numbering.

Character set: Western European (Windows – 1252/WinLatin 1)

In this dataset you can consult the crime rates per district in Ghent for the year 2021 It is always possible that this data will be updated later with new data. Data demarcation: Initial findings ifv a fact-recording for crimes, violations of the GAS-codex, traffic accidents and traffic violations; Initial findings made by Police Zone Ghent whose foster place can be traced back to one of the 25 neighborhoods. Determinations made by another police zone or the federal police, even if they have been committed in Ghent, are not included; The teleenity is the committed fact, not the PV. After all, more facts can be recorded within one PV that must be counted separately; Both the attempts and the completed facts are recorded.Source data: Integrated System for the Local Police (I.S.L.P.) More details about the metadata can be found in the attachment that is available with this dataset!

The average for 2016 based on 34 countries was 1070 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Cyprus: 62 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

In 2024, Colima in Mexico ranked as the world's most dangerous city with a homicide rate of 140 per 100,000 inhabitants. Seven of the 10 cities with the highest murder rates worldwide are all found in Mexico. The list does not include countries where war and conflict exist. Latin America dominate murder statistics Except for Mandela Bay, all the cities on the list are found in Latin America. Latin America also dominate the list of the world's most dangerous countries. Violence in Latin America is caused in great part by drug trafficking, weapons trafficking, and gang wars. Crime in South Africa Mandela Bay in South Africa is the only city outside Latin America among the 10 most dangerous cities worldwide. The country is struggling with extremely high levels of inequality, and is struggling with high levels of crime and power outages, harming the country's economy and driving more people into unemployment and poverty.

Crime Rates of offences per thousand population, by broad crime grouping, by financial year for wards.

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.

Ward data should not be aggregated to give a borough or London total. This is because a small percentage (less than 5%) of crimes in this dataset have not been geocoded to a ward. Therefore total numbers and rates are indicative only, and are not an exact measure at ward level.

The rate is calculated using ward GLA 2012-based (SHLAA) population projections, and population data calculated and constrained to 2012 Borough (SHLAA) projections.

The London figure only includes the Met Police area, not the City of London.

The London total includes all offences in the Met Police Area including those that could not be geocoded. Therefore the London total will not equal the sum of the wards.

Some ward boundaries changed in 2014. From 2013/14 the data shown is for the new boundaries. This only affects Hackney, Kensington and Chelsea, and Tower Hamlets.

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.

Data by detailed crime group and month are available from the MPS website.

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 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

The dataset contains data on 25 EU countries over the period 2000-2013. The aim is to examine the relationship between crime rates and fiscal policy accounting for the effect of shadow economy. All data in this study were derived from public domain resources.

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.

In 2023, there were 91.23 criminal offenses reported per 1,000 inhabitants in Finland. Despite a decreasing trend until recent years, 2020 saw a considerable increase in the number of crimes, having reached a high of 98.2 per 1,000 population. Finland has one of the lowest incarceration rates in Europe In general, Finland is known as a safe country, with crime levels being comparable to those of other Nordic countries. Traffic offenses, along with property offenses, are the most common types of crime. In terms of imprisonment, Finland has one of the lowest incarceration rates in Europe. Currently, Finland has several closed and open prisons, which a focus on rehabilitation and reintegration into society. This “softer” approach to punishing crime has also been linked to falling recidivism rates. Sexual and domestic violence most often affects women Women constituted almost 67.8 percent of domestic violence victims in Finland in 2023. Furthermore, the number of female, as well as male, victims was higher than in the previous year. The Finnish government is addressing this problem by promoting sexual and reproductive health and the rights of women and girls, along with placing the human rights of women as one of its priorities.

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.

according to the type of crime, by the names of the offences, according to the section version of the offences. Crimes committed against young people according to the type of crime and according to the section version of crimes, reported overall for the Slovak Republic, according to the territorial jurisdiction of individual regions (BA, BB, TT...), Military Police, Prison and Judicial Guard Corps and Criminal Office of the Financial Administration. It provides an overview of the development of crime within the Slovak Republic for individual years and calendar months. The dataset also contains statistics of crime in the Slovak Republic committed by foreigners, according to the origin of persons prosecuted and investigated, and by type of crime.

This table contains the number of persons died as a result of murder or manslaughter, where the crime scene is located in the Netherlands. The victims can be residents or non-residents of the Netherlands. The data can be split by location of the crime, method, age and sex. The criterion is the date of death, the date of the criminal act can be in the previous year. Since 2013 Statistics Netherlands is using Iris for automatic coding for causes of death. This improved the international comparison of the data. The change in coding did cause a considerable shift in the statistics. Since 2013 the (yearly) ICD-10 updates are applied. However for murder and manslaughter no changes in coding have taken place. The ICD-10 codes that belong to murder and manslaughter are X85-Y09. Data available from: 1996 Status of the figures: The figures up to and including 2023 are final. Changes as of January 23rd 2025: The figures for 2023 are made final. When will new figures be published: In the third quarter of 2025 the provisional figures for 2024 will be published.

The European Public Safety Market is Segmented by Component (Software [Location Management, Record Management, Investigation Management, Crime Analysis, Criminal Intelligence, and Other Software], Services), Mode of Deployment (On-Premise and Cloud), End-User Industry (Medical, Transportation, Law Enforcement, Firefighting, and Other End-User Industries), and Country (United Kingdom, Germany, France, and Rest of Europe). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Information on non-German suspects (breakdown by offence, total number of suspects, by sex, by age) per federal state

Information on cases (total number, number of attempts, breakdown by offence, crime scene distribution, proportions of male, female, non-German suspects)