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.

Germany - Population reporting occurrence of crime, violence or vandalism in their area was 10.70% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Population reporting occurrence of crime, violence or vandalism in their area - last updated from the EUROSTAT on July of 2025. Historically, Germany - Population reporting occurrence of crime, violence or vandalism in their area reached a record high of 14.20% in December of 2017 and a record low of 8.20% in December of 2020.

Panel data on the crime rate of burglary and the clearance rate of the police at the regional level in Germany from 2013 to 2017. Data was retrieved from the annual crime report (PKS) of the German Federal Police (BKA).

Information on the geographical relationship of the residence of the non-German suspect to the scene of the crime (division by offence, total number of suspects, by sex, data on the place of residence)

Germany - Population reporting occurrence of crime, violence or vandalism in their area: Above 60% of median equivalised income was 10.40% in December of 2023, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Germany - Population reporting occurrence of crime, violence or vandalism in their area: Above 60% of median equivalised income - last updated from the EUROSTAT on July of 2025. Historically, Germany - Population reporting occurrence of crime, violence or vandalism in their area: Above 60% of median equivalised income reached a record high of 13.30% in December of 2017 and a record low of 7.70% in December of 2020.

The German Victimization Survey is a dark field survey conducted on behalf of the Federal Criminal Police Office (BKA) with the aim of collecting comprehensive information on the topics of fear of crime, victim experiences and reporting behaviour in the Federal Republic of Germany. Other focal points of the survey were fraud offences with EC and credit cards or on the Internet as well as crime-related attitudes. The study, designed as a cross-sectional survey, was first conducted in 2012 and repeated in 2017 with a slightly modified survey instrument. A representative sample of the German population aged 16 and over was interviewed in computer-assisted telephone interviews (CATI). In both surveys, the interviews were conducted in German, Turkish and Russian.

The cumulative dataset presented here contains the complete data of both surveys and thus enables the measurement of changes between 2012 and 2017.

Topics: 1. Number of household members aged 16 and over (fixed-network sample/total sample); household size; household type; age; age group; life satisfaction, trust; self-assessment of health status; general personal trust; institutional trust (federal government, courts, police, political parties, Federal Criminal Police Office (BKA), public prosecutor´s office).

1. Crime-related attitudes: Contact with police in the last 12 months; reason for police contact (reporting a crime, stopped on the street, questioned as a witness, accident, as a suspect, professional contact, given information or advice to get help or advice, other reason); satisfaction with treatment by police at last contact; reasons for dissatisfaction with last police contact (e.g. did not come quickly enough, not helpful enough or not at all, prejudice, etc.). ); reputation of the police among people in the personal environment (image); negative experiences with the police in the last 12 months in the personal environment; assessment of the work of the local police in fighting crime; equal treatment of rich and poor people by the local police when reporting a crime; frequency of disproportionate violence by the local police; assessment of one´s own economic situation; concerns about the deterioration of one´s own standard of living; agreement with the statement: enough people in the personal environment who take me as I am.

Additional questions on justice: frequency of fair and impartial decisions by the courts; equal treatment of rich and poor people in court; frequency of wrong decisions by courts (guilty people not convicted, innocent people convicted); contact with a court in the last five years about a criminal case; time of last contact with a court about a criminal case; own role in last participation in a criminal case; satisfaction with the outcome of the case.

1. Attitudes towards punishment: Importance of different purposes in imposing punishment (deterring offenders from committing further crimes, helping offenders to lead a crime-free life, making offenders pay for their crime, making offenders pay for the harm they have done, increasing the public´s awareness of the law, protecting society from offenders);

Vignette experiment: attitudes towards punishment based on different case studies for different offences (bodily harm, theft, damage to property, fraud, robbery) with regard to appropriate response options of the state, custodial sentence with or without probation, duration of custodial sentence in years/months and most appropriate conditions.

1. Attitudes towards immigration: immigration good or bad for the German economy, cultural life in Germany undermined or enriched by immigrants; Germany made a better or worse place to live by immigrants.

2. Media use: average weekly use of (internet) TV, (internet) radio, internet edition of a newspaper, printed newspaper, internet (excluding TV, radio, newspaper use); interest in different types of TV programmes (news, political magazines, other magazines, reports, documentaries, TV shows, quiz programmes, sports programmes, crime films, feature films, entertainment series, comedy programmes); reasons for TV consumption.

3. Social psychological perspectives and attitudes: Attitudes towards life and the future based on various statements (how my life turns out depends on myself, what one achieves in life is primarily a matter of fate or luck, success has to be worked hard for, when I encounter difficulties in life I often doubt my abilities, more important than all the efforts are the ...

This statistic shows the change in criminal acts in the retail sector in Germany in 2017 and 2018. In 2018, German retailers rated organised theft as the main problem, with a value of **** points on a scale between * and * (* = increasing strongly). The preceding year it was seen as a bigger risk, having been awarded a value of ****.

In 2023, about ***** people were threatened with a firearm in Germany. About ***** were shot with some type of firearm, this was an increase compared with the previous year.

Since 2015, far right parties drawing heavily on radical anti-refugee rhetoric gained electoral support in Germany while the number of political hate crimes targeting refugees rose. Both phenomena – far right electoral support and prevalence of right-wing hate crimes – have theoretically and empirically been linked with socio-structural and contextual variables. However, systematic empirical research on these links is scattered and scarce at best. We combine official statistics on political hate crimes targeting refugees in Germany and far right electoral support of the far right party “Alternative für Deutschland” (AfD) in the German national elections 2017 with socio-structural variables (proportion of foreigners and unemployment rate) and survey data collected in a representative survey (N = 1,506) in 2016. We aggregate and combine data for all German municipalities except Berlin which were the level of analysis for the current study. In path analyses, we find socio-structural variables to be unrelated with each other but significantly correlated with both criterion variables in a systematic fashion: proportion of foreigners was negatively while unemployment rate was positively linked with far right electoral support. Right-wing crime was linked positively with unemployment rate across Germany and positively with proportion of foreigners only in East Germany while proportion of foreigners was unrelated to right-wing crime in West Germany. When including survey measures into the model, they were linked with socio-structural variables in the predicted fashion – intergroup contact correlated positively with proportion of foreigners, collective deprivation correlated positively with unemployment rates, and both predicted extreme right-wing attitudes. However, their contribution to the explained variance in outcome variables above and beyond socio-structural variables was neglectable. We argue that both far right-wing electoral support and right-wing hate crime can be conceptualized as behavioral forms of political extremism shaped through socio-structural and contextual factors and discuss implications for preventing political extremism.

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.

Allemagne: Homicides per 100,000 people: Pour cet indicateur, The UN office on drugs and crime fournit des données pour la Allemagne de 1990 à 2017. La valeur moyenne pour Allemagne pendant cette période était de 1.2 homicides per 100,000 people avec un minimum de 0.8 homicides per 100,000 people en 2012 et un maximum de 1.7 homicides per 100,000 people en 1991.