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.

In 2023, German police registered around 214,100 cases of violent crime, which was a large increase compared with the year before. During the specified period, figures peaked in 2007. Violent crimes are characterized by the use of force or even weapons on a victim.

The number of crimes recorded in Germany in 2023 was 5.94 million, approximately 310,000 more crimes than in the previous year. From 2000 onwards, the number of crimes in Germany has fluctuated, peaking in 2004 at 6.63 million, and reaching it's lowest levels in the most recent year.

Since 2016, the number of crimes per 100,000 inhabitants has been on a downward trend and was at its lowest in 2021, although this was likely due to the lockdowns caused by the COVID-19 pandemic. Since then, crime rates have risen again. In 2023, the police recorded roughly ***** criminal offenses per 100,000 inhabitants. Youth criminal suspects Since the number of crimes is increasing, so is the number of suspects. Concerningly, the number of juvenile suspects has seen a rather significant increase and is currently at its ************ since 2016. Suspects who are considered in the juvenile category are aged 14 to 17 years old. In Germany, children under the age of 14 cannot be prosecuted and if they commit a crime, then social services usually step in to try and help. In general, punishments for those convicted are much more lenient as it is often considered that due to their age, they may not have been aware of the repercussions of their actions. For example, regardless of the crime committed, no child under the age of 18 can be tried as an adult. In contrast, in England and Wales, there were around ***** people aged between 15 and 20 in prison. Crimes solving rate With a higher crime rate, it is also important to consider how many crimes are solved. Once a crime is solved, the hope is that the victim can get some type of closure and answers, and also that the perpetrator faces justice for the crimes they committed. In 2023, the police solved around **** million crimes in Germany and for the past three years, there has been a substantial increase in the number of crimes solved. Some cases are, of course, easier to solve than others. Crimes of arson and other fire-hazard-related crimes had a comparably low clearance rate at around ** percent. In contrast, drug-related offenses were much more frequently solved. Even though 2023 saw the lowest clearance rate in 20 years, it was still at ** percent.

The city states of Berlin, Hamburg and Bremen were the states with the three highest crime rates in Germany in 2020, while the federal state of Bavaria had the lowest. Urban areas generally have higher crime rates than rural ones, making it difficult to compare Germany's three city states with the much larger federal states, which typically cover quite large areas. The federal state with the highest crime rate was Saxony-Anhalt at 7996 crimes per 100 thousand people, compared with the German average of 6209.

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

Crime and socioeconomic data for the German Reich and mortality statistics for Prussia at county level for 1871 to 1912.

Topics: A: variables for the entire German Reich (1047 counties)

1. crime data: a) totals of all convicted for crimes and offences per 100000 b) number convicted due to dangerous bodily injury per 100000 c) number convicted due to simple theft per 100000

2. demographic information: a) totals of population of the age of criminal responsibility in the counties for 1885, 1905 and 1910 b) male German-speaking population in 1900 c) female German-speaking population in 1900 d) male, non-German-speaking population in 1900 e) female, non-German-speaking population in 1900 f) primary ethnic groups in 1900

3. data on urbanization: a) total population of the municipalities with more than 2000 residents per county in 1900 b) population in medium-sized cities per county in 1900 c) population in large cities per county in 1900 d) total population per county in 1900 e) typing the counties in city counties (=1) and districts (=2) in 1900

4. Geographic data a) short designation of all counties (1881 to 1912) b) identification number of all counties listed under 4a) c) surface area of the county in square kilometers in 1900

B: variables for Prussia (583 counties) mortality data for 1885, 1886, 1904, 1905 and 1906:

a) totals of deaths (according to sex) for the respective year b) number of deaths due to Tuberculosis (according to sex) for the respective year c) number of deaths due to suicide (according to sex) for the respective year d) number of deaths due to murder and manslaughter (according to sex) for the respective year

The variables for the Prussian counties can be compared with the corresponding counties of the German Reich.

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 September 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).

In 2023, there were 214 murders in Germany, and 490 attempted murders resulting in 704 murder cases in that year, compared with 662 cases in the previous year. Between 2000 and 2012, there was a net decrease of 300 murder cases a year in Germany, but in recent years that trend has been reversed, with 2018 showing the largest year-on-year increase in this time period.

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 61 (Non-German suspects (according to the reason for the stay in Germany). This dataset contains figures on non-German suspects according to the reason for their stay in Schleswig-Holstein, which were recorded 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 - Gender - Division into male and female and total - Total number of suspects - Total number of suspects - Non-German suspects - Divided into number of non-German suspects, percentage of total suspects and number of authorised/not authorised stays - Reason for authorised stay - Suspects after authorised stay - The preceding number in brackets (1) – (12) denotes the column numbering. Character set: Western European (Windows – 1252/WinLatin 1)

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

Sentenced: Germany, years, nationality, gender, age groups, type of crime

Information on cases (total number, number of attempts, breakdown by offence, total crime suspects, share of non-German crime suspects, HZ) per federal state

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)

Information on the proportion of male and female non-German suspects in the total number of identified suspects (without regard to nationality) both for the offences as a whole and for each individual type of offence. Furthermore, a distinction is made between non-German suspects who are illegally or legally resident in the Federal Republic of Germany and the reason for the permitted stay per federal state.

English: The data set contains 503 variables and 624 observations on suicides and suicide rates as well as on demographic, socio-structural, infrastructure and crime statistics on the canton and national level for the years 1952 to 1990. The information was recorded and processed by GDR’s Central Bureau of Statistics on a yearly basis. The statistical yearbooks of the GDR and various files of the Federal Archive were used as the sources of this data. The demographic statistics include the population distribution by gender and age-groups, the incidence of deaths, homicides, births, stillbirths, as well as infant mortality and domestic migration rates by year and administrative district. The socio-structural information includes marriage and divorce rates, population distribution by education, employment and religious denomination, as well as the number of members and candidates of the Socialist Unity Party of Germany by year and district. The infrastructure data contains information on population density, residential housing construction and retail sales by year and administrative canton. The annual numbers of offenders of criminally liable age and convicted persons in the districts that come from the GDR crime statistics were included in the data set from the GDR crime statistics. Missing values indicate that no information could be found for the given year or region. However, the missing information on the distribution by gender and age-groups, as well as suicide rates by age-group can be estimated using the attached do-files. A detailed description of how the missing values have been determined can be found in the document “Imputation und Standardisierung.pdf”. The do-files and the description are available in a zip file below. Deutsch: Dieser Datensatz umfasst 503 Variablen und 624 Beobachtungen. Er beinhaltet Informationen zu Suizidzahlen sowie demographische, sozialstrukturelle, infrastrukturelle Statistiken und Kriminalstatistiken in den Bezirken der DDR sowie des gesamten Landes von 1952 bis 1990. In der DDR war die Staatliche Zentralverwaltung für Statistik (SZS) für die Sammlung und Aufbereitung der verschiedenen Jahresstatistiken zuständig, weshalb die langen Zeitreihen größtenteils aus dem Primärbestand der SZS ermittelt und anschließend vergleichbar über die Bezirke und den Zeitverlauf berechnet wurden. Als Recherchequellen dienen die statistischen Jahrbücher der DDR sowie verschiedene Akten des Bundesarchivs. Die demographischen Statistiken umfassen die jährlichen bezirksspezifischen Verteilungen der Geschlechter, Altersgruppen, Verstorbenen, Ermordeten, Lebendgeborenen, Totgeborenen, gestorbenen Säuglinge und Binnenmigration. Die sozialstrukturellen Informationen umfassen Angaben zu regionalen Verteilungen der Eheschließung, Ehescheidung, Bildung, Beschäftigung und Konfession sowie Statistiken über die Mitgliedschaft und Kandidatur für eine Mitgliedschaft bei der SED. Die verschiedenen infrastrukturellen Daten umfassen jährliche Statistiken der Bevölkerungsdichte, des Wohnungsbaus und des Einzelhandelsumsatzes in den Bezirken der DDR. Zudem wurden aus der Kriminalstatistik der DDR die jährliche Anzahl der strafmündigen Täter und der Verurteilten in den Bezirken in den Datensatz aufgenommen. Missings werden in dem Datensatz ausgewiesen, wenn für bestimmte Jahre oder Regionen keine Zahlen recherchiert werden konnten bzw. die Informationen nicht erhoben wurden. Fehlende Suizidzahlen und fehlende Bevölkerungszahlen in bestimmten Altersgruppen können mittels der beigefügten Do-Files geschätzt und importiert werden. Eine ausführliche Beschreibung der Bestimmung der fehlenden Zahlen lassen sich dem Dokument „Imputation und Standardisierung.pdf“ entnehmen. Zudem ist ein unverzerrter Vergleich der Suizidraten über Regionen und Zeit nur anhand von standardisierten Suizidraten möglich. Auch dieses Vorgehen der indirekten Standardisierung ist im genannten Dokument beschrieben und kann anhand der Do-Files repliziert werden. Sie sind unten in einer Zip-Datei verfügbar.

Selection of time series of different scientific publications and of publication of the official statistics:

EUROSTAT, European Statistical Office OECD: Organisation for Economic Cooperation and Development; ONS: Office for National Statistics, England; SCB: Statistiska Centralbyran, Sweden; Federal Statistical Office, Wiesbaden. Deutschland; WHO: World Health Organization.

Context

Berlin is a special city, multicultural city. And the crime image is special there.

Content

For example there are no bloody drug wars, ghetto or neighborhoods where police afraid to get. Crimes like "deprivation of liberty" and "treat" are in one column. But "larceny" - separated to 4 categories: theft of bikes, of auto, from auto (sic!) and rest kind of theft. Particular column for "Damage to property due graffiti" (Sach-beschädigung durch Graffiti (sic!). Numbers of crimes are connected with every single neighborhood of Berlin's part. Statistics covering period of 2012 - 2019 years.

Acknowledgements

Special thanks for assistance in translation to Alexei Klaus, Germany.

Inspiration

Questions to community: 1) what part of Berlin is most dangerous? 2) what crimes are growing? 3) what crimes are going low? 4) would be great to build Folium based heatmap.

In 2023, about 46 adolescents aged 14 to 17 were suspected of murder in Germany. 1,296 were suspected of rape and sexual assault.