In 2023, an estimated 839,563 reported burglary cases occurred across the United States, a slight decrease from the previous year. The number of reported burglaries has been decreasing since 1990, when there were 3.07 million reported burglaries nationwide.

In 2023, the nationwide burglary rate in the United States was 250.7 cases per 100,000 of the population. This is a slight decrease from the previous year, when the burglary rate stood at 272.7 cases per 100,000 of the population.

In 2023, police in Germany solved 14.9 percent of burglary cases involving housebreaking. This was a slight decrease compared with the previous year.

Data in table tells us about the year-wise total number of property stolen and recovered cases. The different categories under crime mentioned here are- Burglary, Criminal breach of trust, Dacoity, Other offences, Robbery, Theft and Total cases from all over India during 2001-2015.

Note: Information not available for Criminal breach of trust in 2014 and 2015.

The average for 2017 based on 79 countries was 105 robberies per 100,000 people. The highest value was in Costa Rica: 1587 robberies per 100,000 people and the lowest value was in Oman: 1 robberies per 100,000 people. The indicator is available from 2003 to 2017. Below is a chart for all countries where data are available.

Singapore Crime Cases Recorded: Theft and Related Crimes data was reported at 13,495.000 Number in 2017. This records a decrease from the previous number of 14,122.000 Number for 2016. Singapore Crime Cases Recorded: Theft and Related Crimes data is updated yearly, averaging 18,476.000 Number from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 22,711.000 Number in 2005 and a record low of 13,495.000 Number in 2017. Singapore Crime Cases Recorded: Theft and Related Crimes data remains active status in CEIC and is reported by Department of Statistics. The data is categorized under Global Database’s Singapore – Table SG.G077: Public Safety.

Number of occurrences, number of cases cracked....

Burglary rate of Ireland leapt by 8.73% from 168.1 cases per 100,000 population in 2021 to 182.8 cases per 100,000 population in 2022. Since the 36.23% drop in 2020, burglary rate dropped by 14.50% in 2022. “Burglary” means gaining unauthorised access to a part of a building/dwelling or other premises; including by use of force; with the intent to steal goods (breaking and entering). “Burglary” should include; where possible; theft from a house; appartment or other dwelling place; factory; shop or office; from a military establishment; or by using false keys. It should exclude theft from a car; from a container; from a vending machine; from a parking meter and from fenced meadow/compound. (UN-CTS M4.6)

In 2023 in Singapore, theft and related crime cases increased to about 8,572 from about 7,878 cases a year earlier. The number of this type of physical crime marked a ten-year low in 2021.

The number of people under investigation for robbery cases handled by local prosecutor's offices - by the situation of the investigation and gender.

Website designed by Louisville, Kentucky Metro Police Robbery Detectives to help solve business holdups in the Louisville area through community involvement. Using ASAP, one can view surveillance photos and/or video of an armed robbery in-progress and contact the lead investigator working the case with any pertinent information that may help in solving the crime.

This collection contains electronic versions of the Uniform Crime Reports publications for the early years of the Uniform Crime Reporting Program in the United States. The reports, which were published monthly from 1930 to 1931, quarterly from 1932 to 1940, and annually from 1941 to 1959, consist of tables showing the number of offenses known to the police as reported to the Federal Bureau of Investigation by contributing police departments. The term "offenses known to the police" includes those crimes designated as Part I classes of the Uniform Classification code occurring within the police jurisdiction, whether they became known to the police through reports of police officers, citizens, prosecuting or court officials, or otherwise. They were confined to the following group of seven classes of grave offenses, historically those offenses most often and most completely reported to the police: felonious homicide, including murder and nonnegligent manslaughter, and manslaughter by negligence, rape, robbery, aggravated assault, burglary -- breaking and entering, and larceny -- theft (including thefts $50 and over, and thefts under $50, and auto theft). The figures also included the number of attempted crimes in the designated classes excepting attempted murders classed as aggravated assaults. In other words, an attempted burglary or robbery, for example, was reported in the same manner as if the crimes had been completed. "Offenses known to the police" included, therefore, all of the above offenses, including attempts, which were reported by the police departments and not merely arrests or cleared cases.

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. This dataset represents the revised version of the NCVS on a collection year basis for 2016. A collection year contains records from interviews conducted in the 12 months of the given year. Under the collection year format, victimizations are counted in the year the interview is conducted, regardless of the year when the crime incident occurred. The 2016 National Crime Victimization Survey (NCVS) violent and property crime estimates were significantly higher than 2015, but it was not possible to determine the degree to which the change in rates resulted from the sample redesign rather than real changes in U.S. victimization levels. Therefore, the Bureau of Justice Statistics (BJS) examined the 2015 and 2016 victimization rates separately for new and continuing sample counties in the 2016 Criminal Victimization bulletin. The BJS requested that the Census Bureau create a 2016 revised file with outgoing county interviews from July-December 2015, continuing county interviews from January-June 2016, and all interviews (continuing and new counties) from July-December 2016. In other words, the outgoing 2015 cases replaced the new 2016 cases in the first half of 2016. The files in this study serve as a separate research file to allow data users to make comparisons between 2015, 2016, and 2017 NCVS estimates using a nationally representative sample. It provides a sample that still represents the entire country but does not have the inflated crime rates seen in the new counties in 2016.

This data collection contains a revised SMSA (Standard Metropolitan Statistical Area) aggregate version of the FBI's Uniform Crime Reports (UCR) statistics gathered from 1966-1976, in which original UCR agency records are combined to produce several types of crime rates, by SMSA, for eight crimes. The data were prepared by the Hoover Institution for Economic Studies of the Criminal Justice System, at Stanford University. The data in the file are an aggregation of all relevant law enforcement reporting agencies into 291 SMSAs, and corresponding approximate aggregations of crime rates and dispositions. Each record contains crime rates for one SMSA in one specific year, with data including annual statistics of eight index crimes, i.e., murder, manslaughter, rape, robbery, assault, burglary, larceny, and motor vehicle theft. Calculations include offense-based clearance rates (the number of clearances of juvenile clearances per reported offense), clearance-based rates (the number of persons charged per offense cleared by arrest), and charge-based rates (the number of persons whose cases were disposed in a particular manner per person charged). A related study is UNIFORM CRIME REPORTS, 1966-1976 (ICPSR 7676).

The average for 2016 based on 74 countries was 783 thefts per 100,000 people. The highest value was in Denmark: 3949 thefts per 100,000 people and the lowest value was in Senegal: 1 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, 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.

The Philippines: Robberies per 100,000 people: The latest value from 2017 is 15 robberies per 100,000 people, a decline from 20 robberies per 100,000 people in 2016. In comparison, the world average is 105 robberies per 100,000 people, based on data from 79 countries. Historically, the average for the Philippines from 2003 to 2017 is 23 robberies per 100,000 people. The minimum value, 7 robberies per 100,000 people, was reached in 2007 while the maximum of 51 robberies per 100,000 people was recorded in 2013.

This statistic illustrates the number of reported burglary offenses per 10,000 inhabitants in the Italian regions in 2016. According to the study, the region with the highest burglary rate in 2016 was Aosta Valley (12.22 cases per 10,000 inhabitants), followed by Piedmont (4.42 cases per 10,000 inhabitants) and Trentino-South Tyrol (3.95 cases per 10,000 inhabitants).

The Criminal Justice Research Division of the San Diego Association of Governments (SANDAG) received funds from the National Institute of Justice to assist the Regional Auto Theft Task (RATT) force and evaluate the effectiveness of the program. The project involved the development of a computer system to enhance the crime analysis and mapping capabilities of RATT. Following the implementation of the new technology, the effectiveness of task force efforts was evaluated. The primary goal of the research project was to examine the effectiveness of RATT in reducing auto thefts relative to the traditional law enforcement response. In addition, the use of enhanced crime analysis information for targeting RATT investigations was assessed. This project addressed the following research questions: (1) What were the characteristics of vehicle theft rings in San Diego and how were the stolen vehicles and/or parts used, transported, and distributed? (2) What types of vehicles were targeted by vehicle theft rings and what was the modus operandi of suspects? (3) What was the extent of violence involved in motor vehicle theft incidents? (4) What was the relationship between the locations of vehicle thefts and recoveries? (5) How did investigators identify motor vehicle thefts that warranted investigation by the task force? (6) Were the characteristics of motor vehicle theft cases investigated through RATT different than other cases reported throughout the county? (7) What investigative techniques were effective in apprehending and prosecuting suspects involved in major vehicle theft operations? (8) What was the impact of enhanced crime analysis information on targeting decisions? and (9) How could public education be used to reduce the risk of motor vehicle theft? For Part 1 (Auto Theft Tracking Data), data were collected from administrative records to track auto theft cases in San Diego County. The data were used to identify targets of enforcement efforts (e.g., auto theft rings, career auto thieves), techniques or strategies used, the length of investigations, involvement of outside agencies, property recovered, condition of recoveries, and consequences to offenders that resulted from the activities of the investigations. Data were compiled for all 194 cases investigated by RATT in fiscal year 1993 to 1994 (the experimental group) and compared to a random sample of 823 cases investigated through the traditional law enforcement response during the same time period (the comparison group). The research staff also conducted interviews with task force management (Parts 2 and 3, Investigative Operations Committee Initial Interview Data and Investigative Operations Committee Follow-Up Interview Data) and other task force members (Parts 4 and 5, Staff Initial Interview Data and Staff Follow-Up Interview Data) at two time periods to address the following issues: (1) task force goals, (2) targets, (3) methods of identifying targets, (4) differences between RATT strategies and the traditional law enforcement response to auto theft, (5) strategies employed, (6) geographic concentrations of auto theft, (7) factors that enhance or impede investigations, (8) opinions regarding effective approaches, (9) coordination among agencies, (10) suggestions for improving task force operations, (11) characteristics of auto theft rings, (12) training received, (13) resources and information needed, (14) measures of success, and (15) suggestions for public education efforts. Variables in Part 1 include the total number of vehicles and suspects involved in an incident, whether informants were used to solve the case, whether the stolen vehicle was used to buy parts, drugs, or weapons, whether there was a search warrant or an arrest warrant, whether officers used surveillance equipment, addresses of theft and recovery locations, date of theft and recovery, make and model of the stolen car, condition of vehicle when recovered, property recovered, whether an arrest was made, the arresting agency, date of arrest, arrest charges, number and type of charges filed, disposition, conviction charges, number of convictions, and sentence. Demographic variables include the age, sex, and race of the suspect, if known. Variables in Parts 2 and 3 include the goals of RATT, how the program evolved, the role of the I

In 2017, robbery rate for Norway was 14.7 cases per 100,000 population. Robbery rate of Norway fell gradually from 31.4 cases per 100,000 population in 2003 to 14.7 cases per 100,000 population in 2017. "Robbery” means the theft of property from a person; overcoming resistance by force or threat of force. Where possible; the category “Robbery” should include muggings (bag-snatching) and theft with violence; but should exclude pick pocketing and extortion. (UN-CTS M3.5)