In 2023, about 4.51 million reported cases of larceny-theft occurred in the United States. The number of larceny-theft cases has decreased since 1990, when about 7.95 million reported cases occurred nationwide.

In 2023, the nationwide larceny-theft rate in the United States was 1,347.2 cases per 100,000 of the population. This is a decrease from the previous year, when the larceny-theft rate stood at 1,416.6 cases per 100,000 of the population.

In 2023, the District of Columbia had the highest larceny-theft rate in the United States, with 2,990.8 cases of reported larceny-theft per 100,000 inhabitants. Colorado, New Mexico, Oregon, and Louisiana rounded out the top five states for larceny-theft in that year.

The average for 2016 based on 8 countries was 839 thefts per 100,000 people. The highest value was in Uruguay: 3205 thefts per 100,000 people and the lowest value was in Colombia: 178 thefts per 100,000 people. The indicator is available from 2003 to 2016. Below is a chart for all countries where data are available.

In 2023, the police registered 31,070 offenses of pocket-picking in the United States. The largest number of reported larceny-thefts were thefts from shoplifting, with about 1.8 million thefts in that same year.

The primary purpose of the Identity Theft Supplement (ITS) is to measure the prevalence of identity theft among persons, the characteristics of identity theft victims, and patterns of reporting to the police, credit bureaus, and other authorities. The ITS was also designed to collect important characteristics of identity theft such as how the victim's personal information was obtained; the physical, emotional and financial impact on victims; offender information; and the measures people take to avoid or minimize their risk of becoming an identity theft victim. The information is intended for use by policymakers, academic researchers, practitioners at the Federal, state and local levels, and special interest groups who are concerned with identity theft to make informed decisions concerning policies and programs. Responses are linked to the NCVS survey instrument responses for a more complete understanding of the individual's circumstances. The 2018 Identity Theft Supplement (ITS) was the fifth implementation of this supplement to the annual NCVS to obtain specific information about identity theft-related victimization on a national level. Since the ITS is a supplement to the NCVS, it is conducted under the authority of title 34, United States Code, section 10132. Only Census employees sworn to preserve confidentiality may see the completed questionnaires.

The purpose of this study was to examine the crime of identity theft from the offenders' perspectives. The study employed a purposive sampling strategy. Researchers identified potential interview subjects by examining newspapers (using Lexis-Nexis), legal documents (using Lexis-Nexis and Westlaw), and United States Attorneys' Web sites for individuals charged with, indicted, and/or sentenced to prison for identity theft. Once this list was generated, researchers used the Federal Bureau of Prisons (BOP) Inmate Locator to determine if the individuals were currently housed in federal facilities. Researchers visited the facilities that housed the largest number of inmates on the list in each of the six regions in the United States as defined by the BOP (Western, North Central, South Central, North Eastern, Mid-Atlantic, and South Eastern) and solicited the inmates housed in these prisons. A total of 14 correctional facilities were visited and 65 individuals incarcerated for identity theft or identity theft related crimes were interviewed between March 2006 and February 2007. Researchers used semi-structured interviews to explore the offenders' decision-making processes. When possible, interviews were audio recorded and then transcribed verbatim. Part 1 (Quantitative Data) includes the demographic variables age, race, gender, number of children, highest level of education, and socioeconomic class while growing up. Other variables include prior arrests or convictions and offense type, prior drug use and if drug use contributed to identity theft, if employment facilitated identity theft, if they went to trial or plead to charges, and sentence length. Part 2 (Qualitative Data), includes demographic questions such as family situation while growing up, highest level of education, marital status, number of children, and employment status while committing identity theft crimes. Subjects were asked about prior criminal activity and drug use. Questions specific to identity theft include the age at which the person became involved in identity theft, how many identities he or she had stolen, if they had worked with other people to steal identities, why they had become involved in identity theft, the skills necessary to steal identities, and the perceived risks involved in identity theft.

In 2020, Great Falls, Montana had the highest rate of larceny theft in the United States, with 3,335 reported cases of larceny per 100,000 inhabitants. Fairbanks, Alaska had the second highest larceny theft rate, at 2,961.5 cases per 100,000 inhabitants.

The average for 2017 based on 8 countries was 399 robberies per 100,000 people. The highest value was in Argentina: 920 robberies per 100,000 people and the lowest value was in Paraguay: 29 robberies per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

In 2023, a total of 2,234,799 cases of larceny-theft in the United States were valued at over 200 U.S. dollars. A further 1,191,730 larceny-thefts were valued at less than 50 U.S. dollars in that same year.

The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED, UNITED STATES, 2022 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.

The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This version of the NCVS, referred to as the collection year, contains records from interviews conducted in the 12 months of the given year.

In 2023, the average value of stolen bicycles in the United States amounted to 909 U.S. dollars. The total average value of property stolen via larceny-theft in the United States in that year amounted to 2,465 U.S. dollars.

This trends and best practices evaluation geared toward motor vehicle theft prevention with a particular focus on the Watch Your Car (WYC) program was conducted between October 2002 and March 2004. On-site and telephone interviews were conducted with administrators from 11 of 13 WYC member states. Surveys were mailed to the administrators of auto theft prevention programs in 36 non-WYC states and the 10 cities with the highest motor vehicle theft rates. Completed surveys were returned from 16 non-WYC states and five of the high auto theft rate cities. Part 1, the survey for Watch Your Car (WYC) program members, includes questions about how respondents learned about the WYC program, their WYC related program activities, the outcomes of their program, ways in which they might have done things differently if given the opportunity, and summary questions that asked WYC program administrators for their opinions about various aspects of the overall WYC program. The survey for the nonmember states, Part 2, and cities, Part 3, collected information about motor vehicle theft prevention within the respondent's state or city and asked questions about the respondent's knowledge of, and opinions about, the Watch Your Car program.

The UNIFORM CRIME REPORTING PROGRAM DATA: OFFENSES KNOWN AND CLEARANCES BY ARREST, 2021 dataset is a compilation of offenses reported to law enforcement agencies in the United States. Due to the vast number of categories of crime committed in the United States, the FBI has limited the type of crimes included in this compilation to those crimes which people are most likely to report to police and those crimes which occur frequently enough to be analyzed across time. Crimes included are criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. Much information about these crimes is provided in this dataset. The number of times an offense has been reported, the number of reported offenses that have been cleared by arrests, and the number of cleared offenses which involved offenders under the age of 18 are the major items of information collected.

In 2023, the federal state of California recorded the most larceny-thefts in the United States, with a total of 571,215 reported cases. It was followed by Texas, with 465,016 reported cases of larceny-thefts.

This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2019). For additional details, please see the attached data dictionary in the ‘About’ section.

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In 2023, there were 885 incidents of cargo theft reported in North Carolina, the most out of any state. Nevada, Georgia, Washington, and Texas rounded out the top five states for cargo theft incidents reported to the FBI. However, several states did not report all of their crime data to the FBI in that year, meaning figures may not accurately reflect the total number of cargo theft incidents in each state.

The research team collected data on homicide, robbery, and assault offending from 1984-2006 for youth 13 to 24 years of age in 91 of the 100 largest cities in the United States (based on the 1980 Census) from various existing data sources. Data on youth homicide perpetration were acquired from the Supplementary Homicide Reports (SHR) and data on nonlethal youth violence (robbery and assault) were obtained from the Uniform Crime Reports (UCR). Annual homicide, robbery, and assault arrest rates per 100,000 age-specific populations (i.e., 13 to 17 and 18 to 24 year olds) were calculated by year for each city in the study. Data on city characteristics were derived from several sources including the County and City Data Books, SHR, and the Vital Statistics Multiple Cause of Death File. The research team constructed a dataset representing lethal and nonlethal offending at the city level for 91 cities over the 23-year period from 1984 to 2006, resulting in 2,093 city year observations.