World crime rate per 100K population for 2020 was 5.61, a 0.74% increase from 2019.

<ul style='margin-top:20px;'>

<li>World crime rate per 100K population for 2019 was <strong>5.56</strong>, a <strong>3.65% decline</strong> from 2018.</li>
<li>World crime rate per 100K population for 2018 was <strong>5.77</strong>, a <strong>2.24% decline</strong> from 2017.</li>
<li>World crime rate per 100K population for 2017 was <strong>5.91</strong>, a <strong>0.69% decline</strong> from 2016.</li>
</ul>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.

Investigator(s): United Nations Office at Vienna, R.W. Burnham, Helen Burnham, Bruce DiCristina, and Graeme Newman The United Nations Surveys of Crime Trends and Operations of Criminal Justice Systems (formerly known as the United Nations World Crime Surveys) series was begun in 1978 and is comprised of five quinquennial surveys covering the years 1970-1975, 1975-1980, 1980-1986, 1986-1990, and 1990-1994. The project was supported by the United States Bureau of Justice Statistics, and conducted under the auspices of the United Nations Criminal Justice and Crime Prevention Branch, United Nations Office in Vienna. Data gathered on crime prevention and criminal justice among member nations provide information for policy development and program planning. The main objectives of the survey include: to conduct a more focused inquiry into the incidence of crime worldwide, to improve knowledge about the incidence of reported crime in the global development perspective and also international understanding of effective ways to counteract crime, to improve the dissemination globally of the information collected, to facilitate an overview of trends and interrelationships among various parts of the criminal justice system so as to promote informed decision-making in its administration, nationally and cross-nationally, and to serve as an instrument for strengthening cooperation among member states by putting the review and analysis of national crime-related data in a broader context. The surveys also provide a valuable source of charting trends in crime and criminal justice over two decades.

In 2022, around four in ten internet users worldwide have ever experienced cybercrime. Based on a survey conducted between November and December 2022, internet users in India were most likely to have fallen victim to cybercrime, as nearly 70 percent of respondents claimed to have ever experienced cybercrime. The United States ranked second, with almost half of the respondents, 49 percent, saying they had experienced internet crime.

In 2025, Pietermaritzburg in South Africa ranked as the world's most dangerous city with a crime rate of 82 per 100,000 inhabitants. Five of the 10 cities with the highest crime rates worldwide are found in South Africa. The list does not include countries where war and conflict exist. South Africa dominates crime statistics When looking at crime rates, among the 10 most dangerous cities in the world, half of them are found in South Africa. 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 in Latin America On the other hand, when looking at murder rates, Latin America dominates 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.

The United Nations began its World Crime Surveys in 1978. The first survey collected statistics on a small range of offenses and on the criminal justice process for the years 1970-1975. The second survey collected data on a wide range of offenses, offenders, and criminal justice process data for the years 1975-1980. Several factors make these two collections difficult to use in combination. Some 25 percent of those countries responding to the first survey did not respond to the second and, similarly, some 30 percent of those responding to the second survey did not respond to the first. In addition, many questions asked in the second survey were not asked in the first survey. This data collection represents the efforts of the investigators to combine, revise, and recheck the data of the first two surveys. The data are divided into two parts. Part 1 comprises all data on offenses and on some criminal justice personnel. Crime data are entered for 1970 through 1980. In most cases 1975 is entered twice, since both surveys collected data for this year. Part 2 includes data on offenders, prosecutions, convictions, and prisons. Data are entered for 1970 through 1980, for every even year.

India crime rate per 100K population for 2021 was 2.94, a 0.86% increase from 2020.

<ul style='margin-top:20px;'>

<li>India crime rate per 100K population for 2020 was <strong>2.91</strong>, a <strong>0.53% decline</strong> from 2019.</li>
<li>India crime rate per 100K population for 2019 was <strong>2.93</strong>, a <strong>2.24% decline</strong> from 2018.</li>
<li>India crime rate per 100K population for 2018 was <strong>2.99</strong>, a <strong>1.16% decline</strong> from 2017.</li>
</ul>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.

Introduction

Crime Statistics: Crime affects how we live, where we go, and how safe we feel every day. The latest numbers from 2025 reveal significant shifts in the types of crimes occurring and their geographical distribution. As towns and cities grow and new technologies are introduced, it's essential for everyone—from parents and students to business owners and local leaders—to understand what is happening.

This Crime Statistics will break down the newest US crime data, including violent crimes, property crimes, where crime is rising or falling, how police are responding, and which groups are most at risk. These facts and figures aren't just stats—they show what's happening in real communities and help us make better choices for a safer future.

Turks and Caicos Islands saw a murder rate of ***** per 100,000 inhabitants, making it the most dangerous country for this kind of crime worldwide as of 2024. Interestingly, El Salvador, which long had the highest global homicide rates, has dropped out of the top 29 after a high number of gang members have been incarcerated. Meanwhile, Colima 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.

India Cyber Crime: IPC Section: Number of Cases Registered data was reported at 33,798.000 Unit in 2022. This records an increase from the previous number of 25,384.000 Unit for 2021. India Cyber Crime: IPC Section: Number of Cases Registered data is updated yearly, averaging 738.000 Unit from Dec 2002 (Median) to 2022, with 21 observations. The data reached an all-time high of 33,798.000 Unit in 2022 and a record low of 176.000 Unit in 2008. India Cyber Crime: IPC Section: Number of Cases Registered data remains active status in CEIC and is reported by National Crime Records Bureau. The data is categorized under India Premium Database’s Crime – Table IN.CRA001: Crime Statistics.

The United Nations International Crime Prevention and Criminal Justice Branch began the Surveys of Crime Trends and Operations of Criminal Justice Systems (formerly known as the World Crime Surveys) in 1978. The goal of the data collection effort was to conduct a more focused inquiry into the incidence of crime worldwide. To date, there have been five quinquennial surveys, covering the years 1970-1975, 1975-1980, 1980-1986, 1986-1990, and 1990-1994, respectively. Starting with the 1980 data, the waves overlap by one year to allow for reliability and validity checks of the data. For this data collection, the original United Nations data were restructured into a standard contemporary file structure, with each file consisting of all data for one year. Naming conventions were standardized, and each country and each variable was given a unique identifying number. Crime variables include counts of recorded crime for homicide, assault, rape, robbery, theft, burglary, fraud, embezzlement, drug trafficking, drug possession, bribery, and corruption. There are also counts of suspects, persons prosecuted, persons convicted, and prison admissions by crime, gender, and adult or juvenile status. Other variables include the population of the country and largest city, budgets and salaries for police, courts, and prisons, and types of sanctions, including imprisonment, corporal punishment, deprivation of liberty, control of freedom, warning, fine, and community sentence. The countries participating in the survey and the variables available vary by year.

Historical chart and dataset showing Finland crime rate per 100K population by year from 1990 to 2020.

Historical chart and dataset showing Brazil crime rate per 100K population by year from 1990 to 2020.

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

Introduction

Crime statistics: Crime Statistics serve as a crucial tool for understanding and addressing criminal activities within a society. In India, the National Crime Records Bureau (NCRB), established in 1986, is responsible for collecting and analyzing crime data across the country. This data collection aids in identifying trends, allocating resources, and formulating policies to combat crime effectively.

In 2024, India reported a crime rate of 445.9 incidents per 100,000 people, reflecting a slight decrease of 0.56% compared to the previous year. The most prevalent crimes included theft, robbery, and assault. Notably, rape cases increased by 1.1%, and kidnappings saw a surge of 5.1%.

Regional disparities were evident, with Uttar Pradesh recording the highest per capita crime rate at 7.4, followed by Arunachal Pradesh at 5.8, and Jharkhand at 5.3. Urban areas continued to experience higher crime rates compared to rural regions.

The NCRB employs a systematic approach to crime data analysis, encompassing five key steps: collection, categorization, analysis, dissemination, and evaluation. This methodology ensures that the data is not only accurate but also actionable, facilitating informed decision-making by law enforcement agencies and policymakers.

Understanding crime statistics is essential for developing effective strategies to enhance public safety and reduce criminal activities across the nation.

These numbers don't tell the whole story, but they give us a good starting point to understand what's happening in our communities. They can be used as tools to help criminal justice professionals anticipate increased risk of crime.

Content

In this dataset you'll find statistics on the most common forms of crime committed from all countries around the world.

Acknowledgements

This data comes from https://data.world/unodc/b4aa5785-7a33-4c07-af15-0f15d95a121f.

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...

The average for 2017 based on 97 countries was 7.4 homicides per 100,000 people. The highest value was in El Salvador: 61.8 homicides per 100,000 people and the lowest value was in Japan: 0.2 homicides per 100,000 people. The indicator is available from 1990 to 2017. Below is a chart for all countries where data are available.

These data examine the effects on total crime rates of changes in the demographic composition of the population and changes in criminality of specific age and race groups. The collection contains estimates from national data of annual age-by-race specific arrest rates and crime rates for murder, robbery, and burglary over the 21-year period 1965-1985. The data address the following questions: (1) Are the crime rates reported by the Uniform Crime Reports (UCR) data series valid indicators of national crime trends? (2) How much of the change between 1965 and 1985 in total crime rates for murder, robbery, and burglary is attributable to changes in the age and race composition of the population, and how much is accounted for by changes in crime rates within age-by-race specific subgroups? (3) What are the effects of age and race on subgroup crime rates for murder, robbery, and burglary? (4) What is the effect of time period on subgroup crime rates for murder, robbery, and burglary? (5) What is the effect of birth cohort, particularly the effect of the very large (baby-boom) cohorts following World War II, on subgroup crime rates for murder, robbery, and burglary? (6) What is the effect of interactions among age, race, time period, and cohort on subgroup crime rates for murder, robbery, and burglary? (7) How do patterns of age-by-race specific crime rates for murder, robbery, and burglary compare for different demographic subgroups? The variables in this study fall into four categories. The first category includes variables that define the race-age cohort of the unit of observation. The values of these variables are directly available from UCR and include year of observation (from 1965-1985), age group, and race. The second category of variables were computed using UCR data pertaining to the first category of variables. These are period, birth cohort of age group in each year, and average cohort size for each single age within each single group. The third category includes variables that describe the annual age-by-race specific arrest rates for the different crime types. These variables were estimated for race, age, group, crime type, and year using data directly available from UCR and population estimates from Census publications. The fourth category includes variables similar to the third group. Data for estimating these variables were derived from available UCR data on the total number of offenses known to the police and total arrests in combination with the age-by-race specific arrest rates for the different crime types.

Alaska crime data from 2000 to present from the FBI Uniform Crime Reporting (UCR) program. Information includes data on both violent and property crime.The UCR Program's primary objective is to generate reliable information for use in law enforcement administration, operation, and management; over the years, however, the data have become one of the country’s leading social indicators. The program has been the starting place for law enforcement executives, students of criminal justice, researchers, members of the media, and the public at large seeking information on crime in the nation. The program was conceived in 1929 by the International Association of Chiefs of Police to meet the need for reliable uniform crime statistics for the nation. In 1930, the FBI was tasked with collecting, publishing, and archiving those statistics.Source: US Federal Bureau of Investigation (FBI)This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: FBI UCR ProgramOffenses Known to Law Enforcement, by State by City, 2017 The FBI collects these data through the Uniform Crime Reporting (UCR) Program. Important note about rape data In 2013, the FBI’s UCR Program initiated the collection of rape data under a revised definition within the Summary Based Reporting System. The term “forcible” was removed from the offense name, and the definition was changed to “penetration, no matter how slight, of the vagina or anus with any body part or object, or oral penetration by a sex organ of another person, without the consent of the victim.” In 2016, the FBI Director approved the recommendation to discontinue the reporting of rape data using the UCR legacy definition beginning in 2017. General comment This table provides the volume of violent crime (murder and nonnegligent manslaughter, rape, robbery, and aggravated assault) and property crime (burglary, larceny-theft, and motor vehicle theft) as reported by city and town law enforcement agencies (listed alphabetically by state) that contributed data to the UCR Program. (Note: Arson is not included in the property crime total in this table; however, if complete arson data were provided, it will appear in the arson column.) Caution against ranking Readers should take into consideration relevant factors in addition to an area’s crime statistics when making any valid comparisons of crime among different locales. UCR Statistics: Their Proper Use provides more details. Methodology The data used in creating this table were from all city and town law enforcement agencies submitting 12 months of complete offense data for 2017. Rape figures, and violent crime, which rape is a part, will not be published in this table for agencies submitting rape using the UCR legacy rape definition. The rape figures, and violent crime, which rape is a part, published in this table are from only those agencies using the UCR revised rape definition as well as converted data from agencies that reported data for rape, sodomy, and sexual assault with an object via NIBRS. The FBI does not publish arson data unless it receives data from either the agency or the state for all 12 months of the calendar year. When the FBI determines that an agency’s data collection methodology does not comply with national UCR guidelines, the figure(s) for that agency’s offense(s) will not be included in the table, and the discrepancy will be explained in a footnote. Population estimation For the 2017 population estimates used in this table, the FBI computed individual rates of growth from one year to the next for every city/town and county using 2010 decennial population counts and 2011 through 2016 population estimates from the U.S. Census Bureau. Each agency’s rates of growth were averaged; that average was then applied and added to its 2016 Census population estimate to derive the agency’s 2017 population estimate.

The largest reported data leakage as of January 2025 was the Cam4 data breach in March 2020, which exposed more than 10 billion data records. The second-largest data breach in history so far, the Yahoo data breach, occurred in 2013. The company initially reported about one billion exposed data records, but after an investigation, the company updated the number, revealing that three billion accounts were affected. The National Public Data Breach was announced in August 2024. The incident became public when personally identifiable information of individuals became available for sale on the dark web. Overall, the security professionals estimate the leakage of nearly three billion personal records. The next significant data leakage was the March 2018 security breach of India's national ID database, Aadhaar, with over 1.1 billion records exposed. This included biometric information such as identification numbers and fingerprint scans, which could be used to open bank accounts and receive financial aid, among other government services.

Cybercrime - the dark side of digitalization As the world continues its journey into the digital age, corporations and governments across the globe have been increasing their reliance on technology to collect, analyze and store personal data. This, in turn, has led to a rise in the number of cyber crimes, ranging from minor breaches to global-scale attacks impacting billions of users – such as in the case of Yahoo. Within the U.S. alone, 1802 cases of data compromise were reported in 2022. This was a marked increase from the 447 cases reported a decade prior. The high price of data protection As of 2022, the average cost of a single data breach across all industries worldwide stood at around 4.35 million U.S. dollars. This was found to be most costly in the healthcare sector, with each leak reported to have cost the affected party a hefty 10.1 million U.S. dollars. The financial segment followed closely behind. Here, each breach resulted in a loss of approximately 6 million U.S. dollars - 1.5 million more than the global average.