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.

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.

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.

The statistic above provides information about the homicide rate for the most populous city in each European country in 2012. In 2012, the homicide rate in Berlin stood at 1 per 100,000 population.

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 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 2021, Liechtenstein had the highest female homicide rate in Europe, with an estimated 5.08 women per 100,000 falling victims to intentional homicide. However, this number is skewed due to Liechtenstein's very small population; in real terms, this equates to one female homicide in Liechtenstein in 2021. For more populous countries, the next countries on the list are six of Eastern Europe's seven former-Soviet states, with Latvia and Russia having the highest rates of intentional female homicide in Europe (Estonia is the outlier).

The Study’s Subject:

The German Statistical Office of the German Empire compiled a comparative representation of different countrie’s crime statistics. In this context the statistical office was faced with the problem of diverging methodologies and classifications of the countrie’s crime statistics data collections. After World War 1 the “International Statistic Institute (ISI)” and the “International Penal Law and Prison Commission” (IPPC) ) resumed their research activities in the fields of criminal statistics in international comparison. In this context the Statistical Office of the German Empire carried out an investigation of 33 european and non-european countries with the aim to work out a comparative compilation of various criminalstatistical classifications. Is was established that at the time of preparation a comparison of different classifications a comparable international data compilation could not be gathered due to significant differences between the classifications. Finally from the 33 countries it could be compiled time series on criminal statisics only for a small selection of countries. The reason for this situation was the lack of data material for many countries. Therefore, the development of crime could be presented in form of time series for the following countries: - Austria - England and Wales - France - German Empire - Sweden - Canada - Japan

In terms of the crime statistical objective data on lawsuit processes (for example the number of criminal proceedings) has not been incorporated. Furthermore, no data on the military criminal justice are included in the data compilation. The following information, which was available in the statistics, has been taken from the statistics for the data compilation:

Information on the persons, who has been accused or convicted: Number of persons totally, by gender, teenagers or adults. Information on the offences the persons were accused for: accused or convicted by groups of offences or single selected offences. The sentences imposed as results of lawsuit processes are not included in this data compilation.

Data tables in HISTAT (Thema: Kriminaltiät):

A. Österreich (Austria)

A.1 Rechtskräftig Verurteilte nach Geschlecht (Legally convicted by sex) A.2 Rechtskräftig Verurteilte wegen Verbrechen nach ausgewählten Deliktarten (Legally convicted of crimes by selected types of offences) A.3 Rechtskräftig Verurteilte wegen Verbrechen und Übertretungen zusammen nach ausgewählten Deliktarten (Legally convicted of crimes and violations by selected types of offences) A.4 Verurteilte auf 100.000 Strafmündige nach ausgewählten Deliktarten (Kriminalitätsziffern) (Convicted per 100.000 of population of the age of criminal responsibility by selected offences (crime rate))

B. England und Wales (England and Wales) B.1 Angeklagte wegen schwerer Vergehen vor Schwurgerichten und Vierteljahressitzungen nach Deliktarten (Accuesed of heavy offences at the jury court (Assizes) and at the „Quarter Sessions“ by types of offences) B.2 Angeklagte wegen schwerer und leichter Vergehen vor allen Gerichten insgesamt und vor den Gerichten für summarische Rechtsprechung (Accused of heavy offences and of petty offences at all types of courts and at courts of summary jurisdiction) B.3 Angeklagte und Verurteilte nach Geschlecht

C. Frankreich (France)

C.1 Verhandlungen vor Schwurgerichten (Hearings at the jury courts) C.1.1 Angeklagte vor Schwurgerichte nach Geschlecht (Accused at jury courts by gender) C.1.2 Anzahl der Verurteilten durch Schwurgerichte (Number of convicted by the jury court) C.1.3 Erhobene Anklagen nach Deliktart vor Schwurgerichten (Prosecutions by types of offences at the jury court)

C.2 Verhandlungen vor Strafgerichten (Hearings at the tribunal court) C.2.1 Angeklagte vor und Verurteilte der Strafgerichte insgesamt (Accused and convicted of tribunal courts, totaly) C.2.2 Anklagen vor Strafgerichte nach Deliktarten (Prosecutions at the tribunal court by types of offences)

D. Deutsches Reich (German Empire)

D.1 Abgeurteilte Personen und verurteilte Personen nach Geschlecht, Jugendliche und Vorbestrafte (1882-1927) (Persons judged and convicted persons by sex) D.2 Verurteilte Personen nach Deliktgruppen (1882-1927) (Convicted Persons by types of offences) D.3 Kriminalitätsziffern der verurteilten Personen - auf 100.000 der strafm. Bevölkerung (1882-1927) (Crime rate of convicted Persons – per 100.000 of population of the age of criminal responsibility) D.4 Kriminalitätsziffern der verurteilten Personen nach Deliktgruppe - auf 100.000 der strafm. Bevölkerung (1882-1927) (Crime Rate of convicted Persons by type of offence – per 100.000 of population of the age of criminal responsibility) D.5 Die Strafmündige Bevölkerung des...

Firearms in the European Union.
Topics: assessment of the level of crime using firearms in the own country and expected development over the next five years; preference of stricter regulation of who is allowed to own, buy or sell firearms in the own country or of other ways to reduce the level of crime using firearms; attitude towards common minimum standards of laws about firearms in the European Union; attitude towards common minimum standards in the European Union regarding: the types of firearms that can be sold for private use, marking each firearm to identify its owner, licensing the possession of firearms, selling firearms on the internet, the way how illegal trafficking in firearms is punished; fight against firearms trafficking to the EU from outside the EU is most effective by the EU in cooperation with the national authorities or by the national authorities acting on their own; attitude towards the cooperation of the EU with neighbouring non-EU countries to help them control firearms; own possession of a firearm; reasons for owning a firearm.

Demography: age; sex; nationality; age at end of education; occupation; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size.

Additionally coded was: type of phone line; nation group; weighting factor.

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.

The four Nordic countries Sweden, Iceland, Norway, and Denmark are between the five countries with the highest rate of reported sexual violence in Europe in 2022. More than 200 cases per 100,000 inhabitants were reported in Sweden.Please note that reporting varies from country to country, and the willingness of victims to come forward can vary across regions and cultures, therefore a comparison between the countries should be taken with caution.

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.

The United States had, by far, the highest homicide rate of the G7 countries between 2000 and 2021. In 2021, it reached 6.81 homicides per 100,000 inhabitants, an increase from 6.52 in 2020 and 5.07 in 2019. By comparison, Canada, the G7 nation with the second highest homicide rate, had 2.07 homicides per 100,000 inhabitants in 2021. Out of each G7 nation, Japan had the lowest rate with 0.23 homicides per 100,000 inhabitants.

The indicator measures the standardised death rate of homicide and injuries inflicted by another person with the intent to injure or kill by any means, including ‘late effects’ from assault (International Classification of Diseases (ICD) codes X85 to Y09 and Y87.1). It does not include deaths due to legal interventions or war (ICD codes Y35 and Y36). The rate is calculated by dividing the number of people dying due to homicide or assault by the total population. Data on causes of death (COD) refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of the standard European population referring to the residents of the countries.

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.

The European System of Social Indicators provides a systematically selected collection of time-series data to measure and monitor individual and societal well-being and selected dimensions of general social change across European societies. Beyond the member states of the European Union, the indicator system also covers two additional European nations and – depending on data availability – the United States and Japan as two important non-European reference societies. Guided by a conceptual framework, the European System of Social Indicators has been developed around three basic concepts – quality of life, social cohesion, and sustainability. While the concept of quality of life is supposed to cover dimensions of individual well-being, the notions of social cohesion as well as sustainability are used to conceptualize major characteristics and dimensions of societal or collective well-being. The indicator system is structured into 13 life domains altogether. Time-series data are available for nine life domains, which have been fully implemented.

Time series start at the beginning of the 1980s at the earliest and mostly end by 2013. As far as data availability allows, empirical observations are presented yearly. Most of the indicator time-series are broken down by selected sociodemographic variables, such as gender, age groups, employment status, or territorial characteristics. Regional disaggregations are being provided at the NUTS-1 or similar levels as far as meaningful and data availability allows. The European System of Social Indicators is preferably based on harmonized data sources, ensuring the best possible level of comparability across countries and time. The data sources used include international aggregate official statistics, for example, provided by EUROSTAT and the OECD, as well as microdata from various official as well as science-based cross-national surveys, such as the European Union Statistics on Income and Living Conditions (EU-SILC), Eurobarometer Surveys, the World Value Surveys, or the European Social Survey.

The European System of Social Indicators results from research activities within the former Social Indicators Research Centre at GESIS. In its initial stage, this research was part of the EuReporting-Project (Towards a European System of Social Reporting and Welfare Measurement), funded by the European Commission within its 4th European Research Framework Programme from 1998 to 2001. For more detailed information on the European System of Social Indicators, see the methodological report under „other documents“.
The data on the area of life ´Crime and public safety´ is made up as follows: Demographic and socio-economic structures, inequalities, inequality and social exclusion, human capital, objective living conditions, values and attitudes.

The average for 2017 based on 65 countries was 1.8 kidnappings per 100,000 people. The highest value was in Belgium: 10.3 kidnappings per 100,000 people and the lowest value was in Bermuda: 0 kidnappings per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

A survey ending February 2023 among professionals responsible for their company's cyber security strategy in the United States and Europe found that Germany saw the highest rate of cyber attacks among the examined countries. French companies ranked second by the share of reported cyber attacks, 53 percent. Companies from the United Kingdom (UK) and Belgium reported the lowest share of cyber attacks among the listed countries, with 48 percent and 46 percent.

Saint Kitts and Nevis saw a murder rate of 65 per 100,000 inhabitants, making it the most dangerous country for this kind of crime worldwide as of 2023. Interestingly, El Salvador, which long had the highest global homicide rates, has dropped out of the top 20 after a high number of gang members have been incarcerated. Meanwhile, Celaya in Mexico was the most dangerous city for murders. 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 Afghanistan or Syria. A different definition of murder in these circumstances could change the rate significantly in some countries. Causes of death Also noteworthy is that murders are usually not random events. In the United States, the circumstances of murders are most commonly arguments, followed by narcotics incidents and robberies. Additionally, murders are not a leading cause of death. Heart diseases, strokes and cancer pose a greater threat to life than violent crime.

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.