In 2024, the crime rate in Russia reached approximately ******* offenses per 100,000 population, marking a decrease compared to the previous year. Over the period from 2015 to 2024, the rate saw a decline of ***** registered crimes per 100,000 people. What are the most common offenses in Russia? Fraud and theft are the most frequent types of crime in Russia. New types of fraud emerged with the development of digital banking, including crimes related to personal data thefts, access to bank accounts, and unauthorized payment card transactions. Approximately ** percent of crimes in Russia are of little gravity. Criminals’ profile The largest share of people who committed offenses in Russia are aged between 30 and 49 years, among both genders. While most criminals in the country finished up to nine school classes, more than ********* of all perpetrators received a secondary professional education. Furthermore, among female criminals, over ** percent are university graduates.

The homicide rate in Russia reached *** homicides per 100,000 population in 2023. The indicator has declined steadily since 2002, when it was measured at **** murders per 100,000 inhabitants. Over the years observed, the highest rate was recorded at **** homicides per 100,000 persons in 1994. Homicide in Russia The significant decrease in intentional homicides characterizes the general reduction in crime in Russia since the 1990s. However, murder remains one of the major causes of death in the country. In total, over 7,600 homicides and attempted homicides were recorded in Russia in 2022. Victims of homicide The number of male victims of homicide per 100,000 inhabitants in Russia was approximately ***** times higher than the murder rate of women. A United Nations study showed that while most people who were killed around the globe were men, women were most likely to be murdered by their partners, ex-partners, and family members.

Approximately 98 percent of female criminals in Russia in 2021 possessed a Russian passport. Among men who committed a crime in the country, nearly four percent had a nationality of another state or were classified as stateless persons.

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

Most crimes in Russia were registered in Moscow, where law enforcement authorities recorded approximately ******* offenses in 2024. In the Krasnodar Krai, around ****** criminal acts were observed.

In 2024, around ******* crimes were recorded in Moscow, the Russian capital. The number of crimes registered by the city's authorities decreased by approximately ***** between 2023 and 2024. Among other federal subjects of the country, Moscow had the highest number of crimes registered each year.

Around *** million crimes were registered by authorities in Russia in 2024, marking a slight decrease compared to the previous year. Over the observed period, the number of offenses recorded in Russia was significantly high at approximately **** million cases in 2006, after which this figure saw a gradual decline.

The average for 2017 based on 35 countries was 1.7 homicides per 100,000 people. The highest value was in Russia: 9.2 homicides per 100,000 people and the lowest value was in Luxembourg: 0.3 homicides per 100,000 people. The indicator is available from 1990 to 2017. Below is a chart for all countries where data are available.

The most common type of crime registered in Russia in the first 10 months of 2022 was theft, occupying nearly 36 percent of the total number of offenses recorded by national law enforcement authorities. Furthermore, almost 17 percent of crimes were classified as fraud.

In 2024, Russia saw an increase in the share of grave and especially grave crimes. These categories accounted for **** percent of total offenses registered in the country in that year.

Since 2015, the number of criminal acts committed in Russia involving the use of firearms, gas weapons, ammunition, explosives, and explosive devices gradually decreased from one year to another, reaching *** thousand crimes in 2021. To compare, at the beginning of the observed period, over five thousand offenses of this type were recorded across the country.

The goal of this study was to assess the nature and scope of Soviet emigre crime in the United States, with a special focus on the question of whether and how well this crime was organized. The research project was designed to overcome the lack of reliable and valid knowledge on Soviet emigre crime networks through the systematic collection, evaluation, and analysis of information. In Part 1, the researchers conducted a national survey of 750 law enforcement specialists and prosecutors to get a general overview of Soviet emigre crime in the United States. For Parts 2-14, the researchers wanted to look particularly at the character, operations, and structure, as well as the criminal ventures and enterprises, of Soviet emigre crime networks in the New York-New Jersey-Pennsylvania region. They were also interested in any international criminal connections to these networks, especially with the former Soviet Union. The investigators focused particularly on identifying whether these particular networks met the following criteria commonly used to define organized crime: (1) some degree of hierarchical structure within the network, (2) continuity of that structure over time, (3) use of corruption and violence to facilitate and protect criminal activities, (4) internal discipline within the network structure, (5) involvement in multiple criminal enterprises that are carried out with a degree of criminal sophistication, (6) involvement in legitimate businesses, and (7) bonding among participants based upon shared ethnicity. Data for Parts 2-14 were collected from a collaborative effort with the Tri-State Joint Project on Soviet Emigre Organized Crime. From 1992 through 1995 every investigative report or other document produced by the project was entered into a computer file that became the database for the network analysis. Documents included undercover observation and surveillance reports, informant interviews, newspaper articles, telephone records, intelligence files from other law enforcement agencies, indictments, and various materials from the former Soviet Union. Every individual, organization, and other entity mentioned in a document was considered an actor, given a code number, and entered into the database. The investigators then used network analysis to measure ties among individuals and organizations and to examine the structure of the relationships among the entries in the database. In Part 1, National Survey of Law Enforcement and Prosecutors Data, law enforcement officials and prosecutors were asked if their agency had any contact with criminals from the former Soviet Union, the types of criminal activity these people were involved in, whether they thought these suspects were part of a criminal organization, whether this type of crime was a problem for the agency, whether the agency had any contact with governmental agencies in the former Soviet Union, and whether anyone on the staff spoke Russian. Part 2, Actor Identification Data, contains the network identification of each actor coded from the documents in Part 3 and identified in the network data in Parts 4-14. An actor could be an individual, organization, concept, or location. Information in Part 2 includes the unique actor identification number, the type of actor, and whether the actor was a "big player." Part 3, Sources of Data, contains data on the documents that were the sources of the network data in Parts 4-14. Variables include the title and date of document, the type of document, and whether the following dimensions of organized crime were mentioned: sources of capital, locational decisions, advertising, price setting, financial arrangements, recruitment, internal structure, corruption, or overlapping partnerships. Parts 4-14 contain the coding of the ties among actors in particular types of documents, and are named for them: indictments, tips, investigative reports, incident reports, search reports, interview reports, arrest reports, intelligence reports, criminal acts reports, confidential informant reports, newspaper reports, social surveillance reports, other surveillance reports, and company reports.

The dataset “Swedish Crime Fiction in Russian Translation: Editions, Corpus and Reviews” contains information about research data related to two different articles about Swedish crime fiction in Russia.

In 2024, over ***** criminal offenses committed under drug intoxication were recorded by Russian law enforcement authorities. The number of such incidents has continuously declined since 2016, when offenders in over ****** crimes were under the influence of narcotic substances.

This dataset include all information about economic indicatiors about crime in Russian Federation in 2005-2015. Data given from Rosstat

Russia's female homicide rate was slightly below four crimes per 100 thousand population in 2019, marking a decline from 2015. That was more than three times lower than the number of male homicides per 100 thousand inhabitants. The total homicide rate in the country reached 4.7 per 100 thousand people in 2020.

All the data for this dataset is provided from CARMA: Data from CARMA (www.carma.org) This dataset provides information about Power Plant emissions in Russia. Power Plant emissions from all power plants in Russia were obtained by CARMA for the past (2000 Annual Report), the present (2007 data), and the future. CARMA determine data presented for the future to reflect planned plant construction, expansion, and retirement. The dataset provides the name, company, parent company, city, state, metro area, lat/lon, and plant id for each individual power plant. Only Power Plants that had a listed longitude and latitude in CARMA's database were mapped. The dataset reports for the three time periods: Intensity: Pounds of CO2 emitted per megawatt-hour of electricity produced. Energy: Annual megawatt-hours of electricity produced. Carbon: Annual carbon dioxide (CO2) emissions. The units are short or U.S. tons. Multiply by 0.907 to get metric tons. Carbon Monitoring for Action (CARMA) is a massive database containing information on the carbon emissions of over 50,000 power plants and 4,000 power companies worldwide. Power generation accounts for 40% of all carbon emissions in the United States and about one-quarter of global emissions. CARMA is the first global inventory of a major, sector of the economy. The objective of CARMA.org is to equip individuals with the information they need to forge a cleaner, low-carbon future. By providing complete information for both clean and dirty power producers, CARMA hopes to influence the opinions and decisions of consumers, investors, shareholders, managers, workers, activists, and policymakers. CARMA builds on experience with public information disclosure techniques that have proven successful in reducing traditional pollutants. Please see carma.org for more information http://carma.org/region/detail/160

This dataset contains Russian Nuclear InterContinental Ballistic Missle launch sites. It includes launch silos and hangars for the mobile launchers. All information was taken from open sources: http://www.fas.org/nuke/guide/russia/facility/icbm/index.html, http://russianforces.org, http://rbase.new-factoria.ru Data was compiled and found online at http://bbs.keyhole.com/ubb/showflat.php/Cat/0/Number/83812/an/0/page/0#83812

The most common type of crime committed on streets and in squares and parks of Russia was theft, having occupied **** percent of the total offenses recorded in these areas in 2024. Road offenses accounted for **** percent of criminal acts committed outside.

In 2024 Turkey had the highest incarceration rate among European countries, at 356 prisoners per 100,000 inhabitants, followed by Azerbaijan, which had an incarceration of 264. The country with the lowest incarceration rate in this year was Liechtenstein, which had 20 people in prison for every 100,000 inhabitants. Germany had one of the lowest rates of 72 when compared with other major European countries such as France and England & Wales, which had rates of 111 and 145 respectively. The Russian Federation has in previous years been the country with the highest incarceration rate in the Council of Europe's data, however, as the country was removed as a member of the council in 2022 due to their invasion of Ukraine, data for Russia is no longer available.