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.

GapMaps Crime Risk Location data sourced from Applied Geographic Solutions (AGS) includes the latest crime risk indexes and projections available at census block level. Understand the relative crime risk across any location across the USA and Canada so you can make more informed business decisions.

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 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.

Statistics on extent of crime against businesses in the wholesale & retail, accommodation & food, arts, entertainment & recreation, and agriculture, forestry & fishing sectors taken from the Commercial Victimisation Survey. Source agency: Home Office Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Crime against business premises

In 2023, approximately *********** small business retailers estimated that they lose between 1,501 and 2,000 U.S. dollars to retail theft every month. Only **** percent of small business owners surveyed said they lost less than 500 dollars a month.

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions.

Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior.

***June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name.***

****October 2025: MPS crime classifications have been updated to align with the Home Office classifications. This has impacted the crime groupings for Burglary and Violence Against the Person.

Burglary Classification Changes

Domestic Burglary offences recorded since April 2023 are now categorised as either Residential Burglary of a Home or Residential Burglary of an Unconnected Building. This reflects changes made by the Home Office in April 2023 to better represent victim impact and police response. For Burglary offences recorded prior to April 2023 the categorisation of Domestic Burglary still applies.

Violence Against the Person Changes

The Violence Without Injury subgroup has been split, with some offences previously shown as Violence Without Injury now classified as Stalking and Harassment. Violence With Injury offences now include Death or Serious Injury Caused by Illegal Driving.****

The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board.

With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period.

BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis.

Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as:

“Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.”

The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded.

Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility.

Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue).

Further details can be found on the National Business Crime Centre website here:

https://nbcc.police.uk/

In Mexico, over 77,665 businesses were robbed or burglarized in 2023. The number of burglarized establishments in Mexico increased continuously between 2015 and 2019, in the former less than 66,000 such occurrences were reported.

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.

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.

During the last ***** mobile semesters, the robbery rate of businesses in Peru has been stable, with a rate of *** robbery per 100 inhabitants with 15 years of age or older. Just in the period between August 2023 and January 2025, the rate had a slight increase to ***.

This project was undertaken to investigate organized criminal groups and the types of business activities in which they engage. The focus (unit of analysis) was on the organized groups rather than their individual members. The project assessed the needs of these groups in pursuing their goals and considered the operations used to implement or carry out their activities. The data collected address some of the following issues: (1) Are business operations (including daily operations, acquiring ownership, and structuring the organization) of organized criminal groups conducted in a manner paralleling legitimate business ventures? (2) Should investigating and prosecuting white-collar crime be a central way of proceeding against organized criminal groups? (3) What are the characteristics of the illegal activities of organized criminal groups? (4) In what ways are legal activities used by organized criminal groups to pursue income from illegal activities? (5) What is the purpose of involvement in legal activities for organized criminal groups? (6) What services are used by organized criminal groups to implement their activities? Variables include information on the offense actually charged against the criminal organization in the indictments or complaints, other illegal activities participated in by the organization, and the judgments against the organization requested by law enforcement agencies. These judgments fall into several categories: monetary relief (such as payment of costs of investigation and recovery of stolen or misappropriated funds), equitable relief (such as placing the business in receivership or establishment of a victim fund), restraints on actions (such as prohibiting participation in labor union activities or further criminal involvement), and forfeitures (such as forfeiting assets in pension funds or bank accounts). Other variables include the organization's participation in business-type activities--both illegal and legal, the organization's purpose for providing legal goods and services, the objectives of the organization, the market for the illegal goods and services provided by the organization, the organization's assets, the business services it requires, how it financially provides for its members, the methods it uses to acquire ownership, indicators of its ownership, and the nature of its victims.

According to a late 2023 survey on retail theft, approximately *** in five small business retailers experience theft a few times a week. Nearly ** percent of surveyed small business owners said retail theft occurs within their store(s) every day.

The data used in the MPS Business Crime dashboard is available here Business crime | Metropolitan Police, along with the related data definitions. Please note that, this dataset is updated monthly at the beginning of the month. Data runs until the end of the month prior. June 2024: The business crime data-sets are now being extracted and compiled from the new CONNECT system within the MPS; these data-sets will have prefix M1046 added to the file name. The Metropolitan Police Service (MPS) has introduced CONNECT, a new crime recording system that consolidates several previous systems into one integrated platform. This change aims to streamline processes and enhance efficiency across the board. With the implementation of CONNECT, there have been slight modifications in the recording of specific crime categories, such as hate crime. These adjustments may result in minor variations in crime data when compared to the pre-CONNECT era. To provide a comprehensive view of the data, the MPS has regenerated the full report to cover the entire time period. BCU and Borough data in CONNECT are determined by the geographic location of the incident, rather than the borough managing the case, as was the case with legacy systems. This new approach has been retroactively applied to legacy data to provide consistent and comparable analysis. Business Crime is defined by the National Business Crime Forum (NBCF), the Home Office, and the National Retail Crime Steering Group (NRCSG), chaired by the minister for crime prevention as: “Any criminal offence that is committed against a person or property which is associated by the connection of that person or property to a business.” The approach reflects the existing definitions for domestic abuse and hate crime. This means that the victim will determine whether or not the crime has had an impact on a business and, therefore, whether it should be identified as a business crime. This removes any ambiguity about how the crime should be recorded. Not all business crime will be immediately identified as such by the victim or others. For example, an assault in a nightclub might not be identified as a business crime by the victim because they are more likely to perceive it as a personal attack, e.g. motivated by domestic abuse or hate related hostility. Irrespective of the nature of the offending, if the offence took place on business premises it should additionally be recorded as a business crime. This is because criminal offending of any type on business premises may have a negative impact on the business, e.g. increased insurance premiums or, as in the case of the nightclub assault, adverse impact on whether the nightclub’s license is renewed (e.g. too many assault have taken place at that venue). Further details can be found on the National Business Crime Centre website here: https://nbcc.police.uk/

Examines the extent of crime against businesses in England and Wales. The CVS was previously run in 1994 and 2002, and is planned to be repeated in 2013 and 2014.

Content

Hate Crimes

This folder contains data behind the story Higher Rates Of Hate Crimes Are Tied To Income Inequality.

Sources: Kaiser Family Foundation Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation Kaiser Family Foundation Census Bureau Kaiser Family Foundation United States Elections Project Southern Poverty Law Center FBI

Correction

Please see the following commit: https://github.com/fivethirtyeight/data/commit/fbc884a5c8d45a0636e1d6b000021632a0861986

Context

This is a dataset from FiveThirtyEight hosted on their GitHub. Explore FiveThirtyEight data using Kaggle and all of the data sources available through the FiveThirtyEight organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using GitHub's API and Kaggle's API.

This dataset is distributed under the Attribution 4.0 International (CC BY 4.0) license.

Vietnam VN: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data was reported at 3.500 % in 2015. This records an increase from the previous number of 1.000 % for 2009. Vietnam VN: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data is updated yearly, averaging 2.250 % from Dec 2009 (Median) to 2015, with 2 observations. The data reached an all-time high of 3.500 % in 2015 and a record low of 1.000 % in 2009. Vietnam VN: Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Company Statistics. Average losses as a result of theft, robbery, vandalism or arson that occurred on the establishment’s premises calculated as a percentage of annual sales. The value represents the average losses for all firms which reported losses (please see indicator IC.FRM.THEV.ZS).; ; World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).; Unweighted average;