Historical dataset showing Austria crime rate per 100K population by year from 1990 to 2021.

In Europe, the Baltic countries of Latvia and Lithuania had the highest and third highest homicide rates respectively in 2023. 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.

Austria AT: Intentional Homicides: per 100,000 People data was reported at 0.729 Ratio in 2021. This records a decrease from the previous number of 0.730 Ratio for 2020. Austria AT: Intentional Homicides: per 100,000 People data is updated yearly, averaging 0.800 Ratio from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 1.328 Ratio in 1991 and a record low of 0.491 Ratio in 2014. Austria AT: 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 Austria – Table AT.World Bank.WDI: Social: 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;

Historical dataset showing Austria murder/homicide rate per 100K population by year from 1990 to 2021.

Austria - Population reporting occurrence of crime, violence or vandalism in their area was 7.00% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Austria - Population reporting occurrence of crime, violence or vandalism in their area - last updated from the EUROSTAT on November of 2025. Historically, Austria - Population reporting occurrence of crime, violence or vandalism in their area reached a record high of 15.10% in December of 2009 and a record low of 5.70% in December of 2020.

Yearly (annual) dataset of the Austria Homicide Rate, including historical data, latest releases, and long-term trends from 1990-12-31 to 2021-12-31. Available for free download in CSV format.

The Balkan countries Albania and Bosnia 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.

Austria AT: Intentional Homicides: Male: per 100,000 Male data was reported at 0.587 Ratio in 2016. This records a decrease from the previous number of 0.683 Ratio for 2015. Austria AT: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 0.691 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 0.986 Ratio in 2012 and a record low of 0.514 Ratio in 2007. Austria AT: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Austria – Table AT.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male 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.; ;

Comprehensive dataset containing 11 verified Crime victim service businesses in Austria with complete contact information, ratings, reviews, and location data.

Available crime statistics related to methamphetamine use.

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 Deutschen Reiches (1882-1928) (Population of the German Empire of the a...

In 2022, the number of homicides in Denmark increased again after years of decline. That year, 55 homicides were registered. According to the Danish Penal Code, the penalty for homicide ranges from a minimum of a five-year prison sentence to imprisonment for life. Imprisonment for life implies 12 years in prison, before the inmate can apply for probation. Over the past decade, the total number of reported crimes in Denmark decreased.

Victims of crime  In 2021, the number of victims of criminal offences reported in Denmark fell below 60,000. This was the lowest number over the past 10 years. The most common type of crime experienced by Danes was violent crimes. The number was higher for men than for women.

Peaceful country  In general, Denmark is considered a safe and peaceful country. In 2022, the country was ranked the sixth most peaceful country in the world, only behind Iceland, New Zealand, Ireland, Austria, and Portugal. This ranking is measured by the level of social safety and security, the extent of ongoing domestic and international conflicts, and the degree of militarization.

The Security System Services industry has received a boost from European government security expenditure, an uptick in public and private sector demand, and high-profile events like the 2024 Paris Olympic Games, which pumped significant resources into modern alarm installations, AI surveillance and drone detection. Hiking crime rates across Europe, including spikes in theft and burglaries, have spurred both households and businesses to prioritise robust security, underpinning steady sales for providers. Overall, security systems revenue in Europe is projected to rise at a compound annual rate of 0.5% over the five years through 2025, including an estimated jump of 3% in 2025 to €22.7 billion. Innovative businesses like Verisure and Ajax Systems have improved their product offerings, bringing AI-enabled sensors, digital locks and highly responsive monitoring to a wider customer base. The industry’s focus on automation, integration and remote monitoring, supported by the proliferation of IoT devices, has redefined security provision and provided a platform for growth. The industry’s profit has remained steady amid recurring monitoring contracts, heightening sales from government and commercial clients and tech-driven efficiencies. Furthermore, strained police resources and EU policy initiatives to bolster public safety have allowed security system services to fill critical security gaps, particularly in retail and urban environments. Security system revenue in Europe is forecast to swell at a compound annual rate of 4.8% over the five years through 2030, reaching €28.8 billion. The European Commission forecasts modest yet reliable GDP growth and easing inflation across major markets like France, Italy and Spain, which should release pent-up consumer and commercial spending on security infrastructure. Sustained public investment in construction and critical infrastructure, backed by landmark EU projects and increased EIB lending, is set to drive installations of CCTV, access control and 24/7 monitoring in both new and refurbished sites. The integration of AI is expected to transform intrusion detection, alarm accuracy and monitoring services. As the industry leverages AI-powered solutions and subscription-based models, it’s likely to see both higher penetration and recurring revenue streams, even as competition and demand for end-to-end, compliant systems intensify.

Details related to access to the data

No data user agreement

• Contact person

Corinna Perchtold-Stefan, corinna.perchtold@uni-graz.at, ORCID: https://orcid.org/0000-0002-8334-0574 Christian Rominger, christian.rominger@uni-graz.at, ORCID: https://orcid.org/0000-0003-3195-4555

Overview

Project name: Horror as creative emotion regulation – Can true crime consumption help boost adaptive coping with fear and stress? Years: 01.01.2023 to 31.05.2024 Funding: Country of Styria, 2022 Call “Unconventional Science”, P11928 Ethics vote: University of Graz, Austria, GZ. 39/4/63 ex 2022/23

Relevant behavioral data are available at https://osf.io/phx9d/.

• [ ] Brief overview of the tasks in the experiment

The neuroscience data is part of a larger research project on the psychology and neuroscience of people’s interest in true crime – the narration of real-life crime stories in various media (books, podcasts, movies, TV, news). The main goal of the project is to provide a first, in-depth investigations of cognitive, affective, social, and brain correlates of true crime consumption with a particular focus on motives, traits, and perceptions of true crime consumers as well as potential consequences of true crime consumption with regard to well-being and mental health. Additionally, this study is used as an overarching investigations of aspects influencing behavior and well-being in daily life, including measures of creativity, emotion regulation, the experience of meaningful coincidences, curiosity, also with regard to potential interindividual differences regarding gender, age, or socioeconomic background.

• [ ] Contents of the dataset

• [ ] Variables

All questionnaires were administered in German.  Demographic data (gender, age, education, income, relationship status, living area, psychiatric/neurological diagnosis)  True crime consumption and motivations (McDonald et al., 2021)  Morbid curiosity (Scrivner, 2021)  Big-5 personality (Rammstedt et al., 2013)  Dark triad (Malesza et al., 2019)  Depressive symptoms (Hautzinger & Bailer, 1993)  Trait anxiety (Spielberger, 2001)  Perceived stress (Klein et al., 2016)  Resilience (Chmitorz et al., 2018)  Worry and Paranoid Worry (Freeman et al., 2019)  Aggression (Bryant & Smith, 2001)  Meaningful coincidences (Bressan, 2002)  Likelihood of victimization (Kerestly, 2021)  Media preferences (Scrivner, 2021)  Cognitive emotion regulation (Loch et al., 2011)  Cognitive reappraisal capacity (Weber et al., 2014)  Malevolent creativity (Perchtold-Stefan et al., 2021)

(see https://osf.io/phx9d/)

Methods

Subjects

N = 133 for MRI

Participants were recruited on university campus, through advertisements via press reports, social media, and mailing lists. Participants were recruited for a larger study in true crime consumption, and could in the context of this study also take part in the MRI scan. The only exclusion criteria for study participation was previous experience with the performance tasks (cognitive reappraisal capacity, malevolent creativity).

Task organization

No tasks during MRI – only structural scan sand resting-state scans Tasks outside of MRI: Brief online assessment (~ 10 min), in person behavioral testing at the University (~ 2 hours)

Additional data acquired

See above

Experimental location

University of Graz, Austria, and Technical University of Graz, Austria

Missing data

Since this study was realized in multiple parts, not all data is available from all participants. In total, MRI scans of n = 133 participants were acquired From these participants, data from n = 2 participants had to be removed to due data quality and no behavioral and questionnaire data. Data of n = 101 participants is available for extended demographic data, Big-5 personality, dark triad, worry and paranoid worry, meaningful coincidences, likelihood of victimization, media preferences, and cognitive emotion regulation

Data for paper submitted to PLoS One on 2016-07-08. Title: Could Google Trends be used to predict methamphetamine-related crime? An analysis of search volume data in Switzerland, Germany, and Austria

Authors: Alex Gamma, Roman Schleifer, Wolfgang Weinmann, Anna Buadze, Michael Liebrenz

Format: ZIP-file

Contains: - Two datafiles, each as .csv and .dta (Stata version 11) file. - README file with instructions

Iceland was the most peaceful country in the world in 2025 with an index value of 1.1. Ireland, New Zealand, and Austria followed behind.What is the Global Peace Index? The Global Peace Index is an effort by the Institute for Economics and Peace to measure the degree of peacefulness in countries across the world and rank them accordingly. The first list was created in 2007 and has since then been published annually. The index includes a number of indicators relating to both domestic and international peacefulness. International indicators In regards to international affairs the majority of indicators relate to involvement in military conflict or the efforts of the state in question to resolve conflict and ensure the safety of those affected. For example those states that give more financial support to UN peacekeeping missions are considered to be more peaceful while those who have a higher military expenditure as a percentage of gross domestic product (GDP) are considered to be less peaceful. The United States never reached the top 20 of the list, in part due to it having a high level of military spending as a percentage of GDP. Domestic factors Domestic indicators focus on both the amount of violence and crime in addition to incarceration rates. Again, the United States fails to reach levels akin to other countries. The country’s incarceration rates are significantly higher than in other OEDC countries. Moreover, the number of deaths from gun violence also contributes to the relatively low peacefulness ranking of the United States.

Gegenstand der Studie: Das Statistische Reichsamt hat eine vergleichende Darstellung der Kriminalstatistiken unterschiedlicher Länder vorgenommen. Hierbei stellte sich das Problem voneinander abweichender Methodiken und Systematiken der kriminalstatistischen Erhebungen verschiedener Staaten. Aufgrund der nach dem 1. Weltkrieg wieder aufgenommenen Forschungsaktivitäten des „Internationalen Statistischen Instituts (ISI)“ und der „Internationalen Strafrechts- und Gefängniskommission“ hat das Statistische Reichsamt eine Untersuchung über 33 europäische und außereuropäische Länder vorgenommen mit dem Ziel, eine vergleichende Zusammenstellung der unterschiedlichen kriminalstatistischen Systematiken herauszuarbeiten. Dabei musste festgestellt werden, dass zu dem Zeitpunkt der Ausarbeitung eine vergleichbare internationale Zusammenstellung nicht ohne weiteres vorgenommen werden konnte. Von den 33 Ländern konnten schließlich nur für eine kleine Auswahl Zeitreihen zusammengestellt werden, da zwar die Angaben zur Systematik vorlagen, aber das erhobene Statistische Material für die meisten Länder dem Statistischen Reichsamt nicht vorlagen. Damit konnte die Entwicklung der Kriminalität nur für folgende Länder dargestellt werden:- Österreich- England und Wales- Frankreich- Deutsches Reich- Schweden- Kanada- Japan Im Hinblick auf die kriminalstatistische Zielsetzung sind Daten zu strafprozeßtechnischen Inhalten, wie z.B. die Zahl der Strafprozesse, nicht mit aufgenommen worden. Weiterhin sind keine Daten zur Militärstrafrechtspflege in der Datenkompilation enthalten. Folgende Angaben wurden aus den zur Verfügung stehenden Statistiken in die Datenkompilation aufgenommen:Angaben zu den Personen, die Angeklagt bzw. Verurteilt wurden: Anzahl, Geschlecht, Jugendliche oder Erwachsene.Angaben zu den der Person vorgeworfenen Delikten: Angeklagte bzw. Verurteilte nach Deliktgruppen oder einzelnen ausgewählten Delikten.Es ist nicht das verhängte Strafmaß nach einer Verurteilung enthalten. Datentabellen in HISTAT (Thema: Kriminaltiät): A. Österreich A.1 Rechtskräftig Verurteilte nach GeschlechtA.2 Rechtskräftig Verurteilte wegen Verbrechen nach ausgewählten DeliktartenA.3 Rechtskräftig Verurteilte wegen Verbrechen und Übertretungen zusammen nach ausgewählten DeliktartenA.4 Verurteilte auf 100.000 Strafmündige nach ausgewählten Deliktarten (Kriminalitätsziffern) B. England und WalesB.1 Angeklagte wegen schwerer Vergehen vor Schwurgerichten und Vierteljahressitzungen nach DeliktartenB.2 Angeklagte wegen schwerer und leichter Vergehen vor allen Gerichten insgesamt und vor den Gerichten für summarische RechtsprechungB.3 Angeklagte und Verurteilte nach Geschlecht C. Frankreich C.1 Verhandlungen vor SchwurgerichtenC.1.1 Angeklagte vor Schwurgerichte nach GeschlechtC.1.2 Anzahl der Verurteilten durch SchwurgerichteC.1.3 Erhobene Anklagen nach Deliktart vor Schwurgerichten C.2 Verhandlungen vor StrafgerichtenC.2.1 Angeklagte vor und Verurteilte der Strafgerichte insgesamt C.2.2 Anklagen vor Strafgerichte nach Deliktarten D. Deutsches ReichD.1 Abgeurteilte Personen und verurteilte Personen nach Geschlecht, Jugendliche und Vorbestrafte (1882-1927)D.2 Verurteilte Personen nach Deliktgruppen (1882-1927)D.3 Kriminalitätsziffern der verurteilten Personen - auf 100.000 der strafm. Bevölkerung (1882-1927)D.4 Kriminalitätsziffern der verurteilten Personen nach Deliktgruppe - auf 100.000 der strafm. Bevölkerung (1882-1927)D.5 Die Strafmündige Bevölkerung des Deutschen Reiches (1882-1928) E. SchwedenE.1 Verurteilte Personen nach Deliktarten F. KanadaF.1 Verurteilungen nach Deliktarten G. Japan G.1 Kriminalitätsstatistik nach alter Systematik G.1.1 Angeklagte wegen Verbrechen insgesamt und Verurteilte nach Geschlecht und Alter (1882-1907)G.1.2 Angeklagte wegen Verbrechen insgesamt und nach Deliktgruppen (1882-1907)G.1.3 Anklagen wegen Vergehen insgesamt und nach Deliktgruppen (1882-1907) G.2 Kriminalitätsstatistik nach neuer Systematik G.2.1 Verurteilte in 1. Instanz nach Geschlecht (1904-1927)G.2.2 Verurteilte in 1. Instanz insgesamt und nach einzelnen Delikten (1904-1927) 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 Deutschen Reiches (1882-1928) (Population of the German Empire of the age of criminal responsibility) E. Schweden (Sweden)E.1 Verurteilte Personen nach Deliktarten (Convicted Persons by types of offences) F. Kanada (Canada)F.1 Verurteilungen nach Deliktarten (Convictions by types of offences) G. Japan (Japan) G.1 Kriminalitätsstatistik nach alter Systematik (Crime statistics according to the old classification)G.1.1 Angeklagte wegen Verbrechen insgesamt und Verurteilte nach Geschlecht und Alter (1882-1907) (Accused of crimes as a whole and convicted by gender and age)G.1.2 Angeklagte wegen Verbrechen insgesamt und nach Deliktgruppen (1882-1907) (Accused of crimes as a whole and by types of offences)G.1.3 Anklagen wegen Vergehen insgesamt und nach Deliktgruppen (1882-1907) (Prosecutions of crimes as a whole and by types of offences) G.2 Kriminalitätsstatistik nach neuer Systematik (Crime statistics addording to the new classification)G.2.1 Verurteilte in 1. Instanz nach Geschlecht (1904-1927) (Convictions of the first instance by gender)G.2.2 Verurteilte in

In 2022, a survey by the European Union Agency for Fundamental Rights found that 52 percent of Muslims of Turkish origin faced discrimination. Among all surveyed countries, Austria reported the highest rate, with 62 percent of respondents experiencing discrimination.

The survey provides comparable data on the perceived extent and nature of antisemitism across a number of selected EU Member States, whether it is manifested as hate crime, hate speech, discrimination or in any other form that undermines Jewish people’s feelings of safety and security. The survey was commissioned by the European Union Agency for Fundamental Rights (FRA). It follows up on the agency’s first survey, conducted in seven countries in 2012.

The overall objectives of FRA’s second survey on discrimination and hate crime against Jews in the European Union (EU) are 1) to collect comparable data in the selected EU Member States and thereby contributing to the assessment and further development of policies that aim to protect the fundamental rights of Jewish people living in the EU; 2) to identify changes over time with respect to the results of the first survey on discrimination and hate crime against Jews in 2012; 3) to further develop research methodologies for surveying hard-to-reach groups using online survey tools; 4) to deliver FRA’s key stakeholders research evidence that can be used to raise awareness of fundamental rights and address gaps in the protection of rights.

The 2018 survey collected data from 16,395 self-identified Jewish respondents (aged 16 or over) in 12 EU Member States – Austria, Belgium, Denmark, France, Germany, Hungary, Italy, the Netherlands, Poland, Spain, Sweden, and the United Kingdom. These Member States are home to over 96 % of the EU’s estimated Jewish population. The survey collected data through an open online survey and was available for respondents to complete for seven weeks in May–June 2018.

The survey asked respondents about their opinions on trends in antisemitism, antisemitism as a problem in everyday life, personal experiences of antisemitic incidents, witnessing antisemitic incidents and worries about becoming a victim of an antisemitic attack. The survey also provides data on the extent to which respondents consider antisemitic acts against the Jewish community – such as vandalism of Jewish sites or antisemitic messages in the broadcast media or on the internet – to be a problem in the countries. The survey collected data on the effects of antisemitism on respondents’ daily behaviour and their feelings of safety, and about any actions they take due to security fears. The questions about personal experiences of specific forms of harassment or physical violence were followed up with questions concerning the details of such incidents, including their frequency, the number and characteristics of perpetrators, and the reporting of the incident to any organisation or institution. The survey collected data about personal experiences of feeling discriminated against on different grounds and in various areas of everyday life – for example, at work, school, or when using specific services. The survey followed up on respondents’ discrimination experiences with questions concerning the reporting of incidents and the reasons for non-reporting. The survey also explored the level of rights awareness regarding antidiscrimination legislation, victim support organisations and knowledge of any legislation concerning the trivialisation or denial of the Holocaust. In addition, the survey collected socio-demographic data, such as respondents´ gender and age, educational background, employment status, and income.

Topics: 1. Rights awareness, perceptions and attitudes: perception of crime level, unemployment racism, antisemitism, immigration, government corruption, and intolerance towards Muslims as a problem in the country; increase vs. decrease of racism, antisemitism and intolerance towards Muslims in the country; perception of antisemitic acts against the Jewish community as a problem in the country (antisemitic graffiti, desecration of Jewish cemeteries, vandalism of Jewish buildings or institutions, expressions of hostility towards Jews in the street or other public places, antisemitism in the media, in political life, and on the internet including social media; increase vs. decrease of the aforementioned problems; frequency of personally experienced antisemitic comments of non-Jewish people (Jews have too much power in the country, Jews exploit Holocaust victimhood for their own purposes, the Holocaust is a myth or has been exaggerated, Israelis behave ‘like Nazis’ towards the Palestinians, world a better place without Israel, Jews are not capable of integrating into national ...

The identification of sex-specific peptides in human tooth enamel by nanoflow liquid chromatography-tandem mass spectrometry (nanoLC-MS/MS) represents a quantum leap for the study of childhood and social relations more generally. Determining sex-related differences in prehistoric child rearing and mortality has been hampered by the inability to determine the biological sex of juveniles. We conducted nanoLC-MS/MS to identify sex-specific peptides in the dental enamel of a child from a settlement pit of the Early Bronze Age settlement of Schleinbach, Austria (c. 1950–1850 BC). Four perimortal impression fractures on the skull of the 5–6-year-old child indicate an intentional killing, with a co-buried loom weight as possible murder weapon. Proteomic analysis, conducted for the first time on prehistoric teeth in Austria, determined the child’s sex as male. While we cannot conclusively decide whether the child became the victim of conflicts between village groups or was slain by members of his own community, we suggest that contextual evidence points to the latter. A possible trigger of violence were the follow-on effects of an uncontrolled middle ear infection revealed by the osteological analysis. The boy from Schleinbach highlights the potential for further investigation of gender-biased violence, infanticide and child murder based on the recently developed method of proteomic sex identification.