In 2023, around 42,508 burglaries in the United States took place in commercial or office buildings. A further 23,358 burglaries took place in restaurants in that year, and a further 45 burglaries took place on military bases.

This data collection is one of three quantitative databases comprising the Commercial Theft Studies component of the Study of the Causes of Crime for Gain, which focuses on patterns of commercial theft and characteristics of commercial thieves. This data collection contains information on commercial burglary incidents in Xenon, New Jersey. The data collection includes incident characteristics, theft item, value of stolen property, and demographic information about the suspect(s), such as police contacts, number of arrests, sex, race, and age.

This project was designed to isolate the effects that individual crimes have on wage rates and housing prices, as gauged by individuals' and households' decisionmaking preferences changing over time. Additionally, this project sought to compute a dollar value that individuals would bear in their wages and housing costs to reduce the rates of specific crimes. The study used multiple decades of information obtained from counties across the United States to create a panel dataset. This approach was designed to compensate for the problem of collinearity by tracking how housing and occupation choices within particular locations changed over the decade considering all amenities or disamenities, including specific crime rates. Census data were obtained for this project from the Integrated Public Use Microdata Series (IPUMS) constructed by Ruggles and Sobek (1997). Crime data were obtained from the Federal Bureau of Investigation's Uniform Crime Reports (UCR). Other data were collected from the American Chamber of Commerce Researchers Association, County and City Data Book, National Oceanic and Atmospheric Administration, and Environmental Protection Agency. Independent variables for the Wages Data (Part 1) include years of education, school enrollment, sex, ability to speak English well, race, veteran status, employment status, and occupation and industry. Independent variables for the Housing Data (Part 2) include number of bedrooms, number of other rooms, building age, whether unit was a condominium or detached single-family house, acreage, and whether the unit had a kitchen, plumbing, public sewers, and water service. Both files include the following variables as separating factors: census geographic division, cost-of-living index, percentage unemployed, percentage vacant housing, labor force employed in manufacturing, living near a coastline, living or working in the central city, per capita local taxes, per capita intergovernmental revenue, per capita property taxes, population density, and commute time to work. Lastly, the following variables measured amenities or disamenities: average precipitation, temperature, windspeed, sunshine, humidity, teacher-pupil ratio, number of Superfund sites, total suspended particulate in air, and rates of murder, rape, robbery, aggravated assault, burglary, larceny, auto theft, violent crimes, and property crimes.

Livorno and Milan were the leading provinces for burglary rate in commercial establishments in Italy in 2020. According to data, the Central Italian city of Livorno ranked first for non-residential burglaries, with *** cases per 100,000 inhabitants.

The crime rate represents the annual number of reported violent and property crimes per 100,000 inhabitants. What's included in violent crimes are murder, non-negligent manslaughter, rape, robbery and aggravated assault. Property crimes include burglary, larceny-theft and motor vehicle theft. Data is sourced from the Federal Bureau of Investigation.

In 2023, there were ** commercial crimes committed in Singapore for every 100,000 individuals. This was a decrease compared to the previous year.

GapMaps provides Crime Risk data sourced from Applied Geographic Solutions (AGS) which has been used by thousands of companies for over 20 years, providing valuable comparative information on the spatial patterns of crime.

Crime Risk Data includes crime risk indexes and projections on detailed crime types like murder and motor vehicle theft, and summary indexes of crimes against persons, crimes against property and overall crime risk. Crime Risk Data is available at the highly detailed census block level to capture the different risk levels across business and residential places. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide.

The crimes included in the Crime Risk Data database are the “Part 1” crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative “overall” crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. In 2020, 5-Year Projections were added to the database.

Use cases: 1. Insurance underwriting and risk mitigation. 2. Evaluating the security measures needed to protect employees and customers at retail facilities. 3. The study of the effects of neighborhood crime on wellness and health care outcomes.

Methodology: Crime is tracked for multiple years using both FBI aggregate crime reports and for many parts of the country at the individual incident level. A complex set of statistical models are used to estimate and forecast risk of each individual crime type by using land use data in conjunction with demographic and business characteristics.

The major objective of this study was to examine how physical characteristics of commercial centers and demographic characteristics of residential areas contribute to crime and how these characteristics affect reactions to crime in mixed commercial-residential settings. Information on physical characteristics includes type of business, store hours, arrangement of buildings, and defensive modifications in the area. Demographic variables cover racial composition, average household size and income, and percent change of occupancy. The crime data describe six types of crime: robbery, burglary, assault, rape, personal theft, and shoplifting.

These Commercial Victimization Surveys were collected as part of the National Crime Surveys. They document burglary and robbery incidents for all types of commercial establishments, as well as political, cultural, and religious organizations. Business characteristics gathered include form of ownership and operation, size and type of business, and security measures. Information regarding the reported incidents includes time and place, weapon involvement, offender and entry characteristics, injuries and deaths, and type and value of stolen property. Data were collected by calendar quarter for four quarters in 1973-1976 and for two quarters in 1977, while the actual incidents reported in the files reflect those occurring six months prior to the interview date.

Abstract copyright UK Data Service and data collection copyright owner.

The Commercial Victimisation Survey (CVS) is a survey of the extent of crime and crime related issues experienced by business premises in England and Wales. It provides additional detail on the extent of crime to be used alongside the other main sources of information on crime. These are the Crime Survey for England and Wales (CSEW) (formerly the British Crime Survey), which covers crimes against private individuals and households, and the Police Recorded Crime statistics, which cover crimes reported to the police. In common with the CSEW, the CVS also includes crimes that are not reported to the police. The Police Recorded Crime data tables are available from the GOV.UK website.

The CVS was previously run as a standalone survey in 1994 and again in 2002. The CVS was then run as an annual publication from 2012 onwards. A break occurred from 2019 to 2021 where CVS underwent a re-design following a consultation, where the coverage of the survey was expanded to cover all commercial business premises. A standalone CVS was run in 2021, covering only the Wholesale and Retail sector, to provide insights on the effects of the COVID-19 pandemic.

Further information on the CVS, with links to findings by year, can also be found on the GOV.UK Crimes against businesses statistics webpage.

This data collection is the 2023 iteration of the Commercial Victimisation Survey (CVS), a survey of the extent of crime and crime related issues experienced by business premises in England and Wales. It provides additional detail on the extent of crime, to be used alongside the other main sources of information on crime. These are the Crime Survey for England and Wales (CSEW) (formerly the British Crime Survey), which covers crimes against private individuals and households, and the Police Recorded Crime statistics, which cover crimes reported to the police.

The CVS was previously run as a standalone survey in 1994 and again in 2002. The CVS was then run as an annual publication from 2012 onwards. A break occurred from 2019 to 2021 where CVS underwent a re-design following a consultation. A standalone CVS was run in 2021, covering only the Wholesale and Retail sector, to provide insights on the effects of the COVID-19 pandemic. From 2022 onwards, the coverage of the survey has included all commercial business premises.

The 2023 CVS aims to estimate the extent and nature of crime affecting all commercial business premises in England and Wales. The data includes the prevalence and frequency of crime affecting business premises in England and Wales: as well as impacts on premises, crime prevention measures taken up by premises, experiences of the police, and attitudes to the police.

Main Topics:
Businesses were asked which of a number of types of crime they had experienced in the 12 months prior to being interviewed. For each one they had suffered, they were asked about the number of occasions they had been victim to that type of crime, the effect of it on their business and the cost of the most recent incident. The survey also asked respondents whether they had reported the incidents to the police; the extent of the losses suffered; their crime prevention precautions; and their concerns about problems of crime and antisocial behaviour in the local area.

• Prevalence of crime affecting business premises

• Nature of crime experienced by premises

• Implementation of crime prevention measures

This dataset reflects reported incidents of crime that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited.

The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily.

This report tracks the incident-based crime rate per 100,000 people. Data is sourced from the Incident-based Uniform Crime Reporting Survey and Statistics Canada.

This dataset was compiled by the Illinois Criminal Justice Information Authority (ICJIA) at the request of the Governor’s Children’s Cabinet. This data contains the population of youth ages 13-26 in each county, the total population of each county, and the number and rate of index crimes reported, with domestic violence offenses and rates reported separately for every year between 2006 and 2015.

For the purpose of this analysis the crime data was gathered from the Illinois State Police Annual report Crime in Illinois. This publication is produced by the Illinois State Police every year using the UCR data that is submitted to them by individual jurisdictions throughout the state. The accuracy of this data presented is dependent on the local jurisdictions reporting their index crime and domestic violence offenses to ISP, so it can be included in the annual report.

Therefore, if there is large decrease in number of index crimes reported in the dataset it is likely that one or more jurisdictions did not report data for that year to ISP. If there is a large increase from year to year within a county it is likely that a jurisdiction within the county, who previously had not reported crime data, did report crime data for that year. If there is no reported crime in a certain year that means no jurisdictions, or a small jurisdiction with no crime from that county reported data to the Illinois State Police. The annual Crime in Illinois reports can be found on the ISP website www.isp.state.il.us.

A direct link to that annual reports is: http://www.isp.state.il.us/crime/ucrhome.cfm#anlrpts.

The Illinois Criminal Justice Information Authority did not record the data that is expressed in the dataset. ICJIA simply used the ISP reports to compile that yearly crime data into one chart that could be provided to the Illinois Governor’s Children’s Cabinet. This data set has be critically examined to be accurate according to the annual Crime in Illinois Reports. If there are issues with the data set provided please contact the Illinois State Police or the individual jurisdictions within a specific county.

**Index offenses do not include every crime event that occurs. Prior to 2014 there were 8 index crimes reported by the Illinois State Police in their annual reports, Criminal Homicide, Rape, Robbery, Aggravated Battery/Aggravated Assault, Burglary, Theft, Motor Vehicle Theft, and Arson. In 2014 there were two new offenses added to the list of index crimes these were Human Trafficking – Commercial Sex Acts and Human Trafficking – Involuntary Servitude. These are the index crimes that are recorded in the chart provided.

**“Domestic offenses are defined as offenses committed between family or household members. Family or household members include spouses; former spouses; parents; children; foster parents; foster children; legal guardians and their wards; stepchildren; other persons related by blood (aunt, uncle, cousin) or by present or previous marriage (in-laws); persons who share, or formerly shared, a common dwelling; persons who have, or allegedly have, a child in common; persons who share, or allegedly share, a blood relationship through a child; persons who have, or have had, a dating or engagement relationship; and persons with disabilities, their personal care assistants, or care givers outside the context of an employee of a public or private care facility. Every offense that occurs, when a domestic relationship exists between the victim and offender, must be reported (Illinois State Police).”

**“Offenses reported are not limited to domestic battery and violations of orders of protection; offenses most commonly associated with domestic violence (Illinois State Police).”

The crime rate was compiled using the total population, and the index crime. The Index crime whether all crime or Domestic Violence crime was divided by the total population then multiplied by 10,000, hence crime rate per 10,000.

The sources of data are the Illinois Uniform Crime Reporting Program and the U.S. Census Bureau.

The source of the description is the Illinois State Police and their Reporting guidelines and forms.

Crime Risk Report Market Outlook

The global market size for Crime Risk Reports is projected to grow significantly from USD 1.2 billion in 2023 to an estimated USD 2.5 billion by 2032, representing a compound annual growth rate (CAGR) of approximately 8.5%. This growth is driven by the increasing demand for detailed crime analytics to improve security measures and risk management strategies across various sectors. The enhanced capabilities of modern data analytics and AI technologies in predicting crime trends are key factors contributing to this upward trajectory.

One of the primary growth factors for the Crime Risk Report market is the intensifying need for safety and security in urban areas. Rising crime rates in various metropolitan regions have led to increased demand for accurate and comprehensive crime risk assessments. Municipalities, businesses, and individuals are increasingly relying on these reports to identify high-risk areas and implement preventive measures. Moreover, advancements in data collection and analysis techniques have enabled the development of more precise and reliable crime risk reports, further boosting market demand.

Another significant driver is the growing adoption of smart city initiatives globally. Governments and urban planners are increasingly integrating crime risk assessments into the broader framework of smart city technologies. These initiatives aim to leverage big data and IoT devices to enhance public safety and optimize resource allocation. As cities become more interconnected and data-driven, the integration of crime risk reports into urban planning and management systems is expected to grow, thereby fuelling market expansion.

The insurance and real estate sectors also play a crucial role in the burgeoning demand for Crime Risk Reports. In the insurance industry, crime risk assessments are used to determine premium rates and design risk mitigation policies. Accurate crime data helps insurers to better understand the risk profiles of different regions and offer more tailored insurance products. Similarly, in the real estate sector, crime risk reports provide valuable insights for property valuation and investment decision-making. Investors and homebuyers are increasingly considering crime statistics as a critical factor in their property choices, driving the demand for detailed crime risk analytics.

Regionally, North America currently dominates the Crime Risk Report market, driven by high crime rates and advanced technological infrastructure. However, significant growth is expected in the Asia Pacific and European regions, owing to rapid urbanization, increasing crime awareness, and the adoption of smart city projects. The Middle East and Africa, while currently a smaller market, are also projected to experience notable growth due to rising investments in security and infrastructure development.

Type Analysis

The Crime Risk Report market can be segmented by type into Personal Crime Risk Reports, Property Crime Risk Reports, and Business Crime Risk Reports. Personal Crime Risk Reports are primarily used by individuals and families to assess the safety of their neighborhoods. These reports typically include data on various types of crimes, such as assaults, robberies, and burglaries, and provide insights into the overall crime trends in specific areas. The increasing awareness of personal safety and the availability of user-friendly online platforms for accessing crime data are major factors driving the growth of this segment.

Property Crime Risk Reports focus on crimes related to property, such as theft, vandalism, and arson. These reports are extensively used by real estate professionals, property developers, and investors to evaluate the safety and desirability of different locations. Accurate property crime data is crucial for determining property values and making informed investment decisions. With the growing emphasis on securing property investments and enhancing the living standards of communities, the demand for property crime risk reports is expected to rise significantly.

Business Crime Risk Reports cater to organizations and commercial entities, providing detailed assessments of crime risks that could impact business operations. These reports cover a wide range of crimes, including theft, fraud, and cybercrimes, and are essential for developing effective risk management strategies. Companies use these reports to safeguard their assets, ensure the safety of their employees, and comply with regulatory requirements. As businesses continue to prioritize security and resilienc

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.

In 2022, Costa Rica had the highest burglary rate worldwide, with ***** occurrences per 100,000 inhabitants. Other countries with the highest burglary rate were Sweden, Luxembourg and Dominica.