In 2023, around 16,944 robberies took place in parking garages or parking lots in the United States. A further 30,648 robberies took place in residences in that same year, and only 32 robberies took place on tribal lands.

The District of Columbia had the highest robbery rate in the United States in 2023, with 614.2 robberies per 100,000 inhabitants. The lowest robbery rate in the country was found in Idaho, with 9.5 robberies per 100,000 inhabitants. Crime in the District of Columbia The violent crime rate in the District of Columbia was found to be the highest in the United States, with there being a few reasons for this: Firstly, the population of the District of Columbia is quite low (causing a higher rate of crime), and secondly, issues such as the crack epidemic of the 1990s exacerbated the prevalence of crime in the District. As rising rents and gentrification force more people out of the District, crime is moving into neighboring Maryland and Virginia suburbs, as poorer residents seek more affordable living conditions. Crime in the United States Overall, violent crime in the United States and the District of Columbia today is far below the violent crime rate of the 1990s. While some may feel that crime is on the rise, due in part to media sensationalism in fact, the opposite is true, and the United States is becoming safer over time.

There were 46,999 robberies with a handgun in the United States in 2023. A further 15,564 robberies were perpetrated with a knife or other cutting instrument in that year. Decreasing crime As with most crime in the U.S., the number of robberies has decreased since 1990. Despite views that crime is on the rise in the United States, statistics show that the violent crime rate has almost halved in the last 30 years. The number of robberies in the U.S. have more than halved from their peak in 1991. What you seize is what you get Despite the classic idea of a bank robbery, robberies are far more likely to take place in the street or on a highway rather than in a bank in the United States. Additionally, the robbery rate was highest in the District of Columbia and lowest in Idaho in 2023. For the entire United States, the robbery rate stood at 66.5 per 100,000 inhabitants in that same year.

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.

In 2023, the federal state of California had the most reported robberies in the United States, with 49,977 reported cases. Texas, New York, Illinois, and Florida rounded out the top five states for reported robbery cases in the country.

In 2023, the nationwide robbery rate in the United States was 66.5 cases per 100,000 of the population. This is a significant decrease from 1990 levels, when the robbery rate stood at 257 cases per 100,000 of the population.

The number of bank robberies in Denmark decreased significantly during the past decade, with some fluctuations. In 2012, ** bank robberies were reported, while in 2022, not a single bank robbery was reported. This is explained by the digitalization of the banking sector, meaning that there are low amounts of cash circulating. Also the total number of reported robberies in the country decreased since 2015.

This study was designed to explain variations in crime rates and to examine the deterrent effects of sanctions on crime. The study concentrated on bank robberies, but it also examined burglaries and other kinds of robberies. In examining these effects the study condidered three sets of factors: (1) Economic considerations-- the cost/benefit factors that individuals consider in deciding whether or not to perform a crime, (2) Degree of anomie--the amount of alienation and isolation individuals feel toward society and the effect of these feelings on the individuals' performing a crime, and (3) Opportunity--the effect of exposure, attractiveness, and degree of guardianship on an object being taken. These factors were explored by gathering information on such topics as: crime clearance rates, arrests, and sentences, bank attributes, and socioeconomic and demographic information.

The number of reported bank robberies in Sweden decreased over the past decade. In 2012, there were registered a total of 43 bank robberies, whereas no bank robberies were reported in 2022. Much of this development is down to the digitalization of the bank system in recent years.

This statistic illustrates the number, race, and gender of perpetrators of bank crimes in the United States in 2018. In 2018, 110 of the perpetrators were white females.

In 2020, the Anchorage metropolitan areas in Alaska had the highest robbery rate in the United States, with 185.4 robbery cases per 100,000 inhabitants. The San Francisco-Oakland-Berkeley, CA metro area was second, with 178.5 robberies per 100,000 inhabitants.

The number of robberies of financial institutions in Brazil have been declining since 2016. In 2023, around 136 robberies of banks or other financial institutions were reported in the South American country, down from 211 cases recorded a year earlier.Furthermore, violent crimes against property in Brazil include car theft and break-in.

The goals of this data collection were to provide information on robbery-related security measures employed by financial institutions, to identify factors that contribute to robbery, and to study the correlates of case disposition and sentence length of convicted robbers. The collection compares banking institutions that have been robbed with those bank offices that have not been robbed to provide information on factors that contribute to these robberies. The office-based file includes variables designed to measure general office characteristics, staff preparation and training, security measures, characteristics of the area in which the banking institution is located, and the robbery history of each institution. The incident-based file includes variables such as the robber's method of operation and behavior, the employee's reaction, the characteristics of the office at the time of the robbery, and the apprehension of the offender. Also included is information on the status of the investigation, reasons involved in solving the robbery, status of prosecution, ultimate prosecution, and sentence in length.

The robbery rate among financial institutions in Brazil has been oscillating throughout the years. In 2023, approximately 0.3 out of every 100 financial institutions were robbed in the South American country, down from an average of 0.4 recorded a year earlier.

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.

These data contain records of guideline computations and adjustments for each count of conviction for criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2011. The data are one of two supplementary files that should be used in conjunction with the primary analysis file, which contains records for all defendants sentenced under the guidelines. These data can be linked to the primary analysis file using the unique identifier variable USSCIDN. The number of records for a defendant in the current data corresponds to the total number of guideline computations, which may or may not equal the total counts of conviction for that defendant, dependent upon the grouping rules of the particular guideline in question (see Section 3D1.2 of the guidelines manual). As an example, a defendant with five counts of drug trafficking will only have one guideline computation because each of the drug weights for each count are simply added together and only one calculation is necessary. However, if a defendant has five counts of bank robbery, he or she will have five separate guideline computations because bank robbery is considered to be a nongroupable offense. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

For a comprehensive guide to this data and other UCR data, please see my book at ucrbook.comVersion 8 release notes:Adds 2020 data. Please note that the FBI has retired UCR data ending in 2020 data so this will be the last Property Stolen and Recovered data they release. Changes .rda file to .rds.Version 7 release notes:Adds data for 2006.Version 6 release notesChanges release notes description, does not change data.Version 5 release notes:Adds data for 2019Note that the number of months reported variable sharply changes starting in 2018. This is probably due to changes in UCR reporting of the "status" variable which is used to generate the months missing county (the code I used does not change). So pre-2018 and 2018+ years may not be comparable for this variable. Version 4 release notes:Adds data for 2018Version 3 release notes:Adds data in the following formats: Excel.Changes project name to avoid confusing this data for the ones done by NACJD.Version 2 release notes:Adds data for 2017.Adds a "number_of_months_reported" variable which says how many months of the year the agency reported data.Property Stolen and Recovered is a Uniform Crime Reporting (UCR) Program data set with information on the number of offenses (crimes included are murder, rape, robbery, burglary, theft/larceny, and motor vehicle theft), the value of the offense, and subcategories of the offense (e.g. for robbery it is broken down into subcategories including highway robbery, bank robbery, gas station robbery). The majority of the data relates to theft. Theft is divided into subcategories of theft such as shoplifting, theft of bicycle, theft from building, and purse snatching. For a number of items stolen (e.g. money, jewelry and previous metals, guns), the value of property stolen and and the value for property recovered is provided. This data set is also referred to as the Supplement to Return A (Offenses Known and Reported). All the data was received directly from the FBI as text or .DTA files. There may be inaccuracies in the data, particularly in the group of columns starting with "auto." To reduce (but certainly not eliminate) data errors, I replaced the following values with NA for the group of columns beginning with "offenses" or "auto" as they are common data entry error values (e.g. are larger than the agency's population, are much larger than other crimes or months in same agency): 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000, 10000, 20000, 30000, 40000, 50000, 60000, 70000, 80000, 90000, 100000, 99942. This cleaning was NOT done on the columns starting with "value."For every numeric column I replaced negative indicator values (e.g. "j" for -1) with the negative number they are supposed to be. These negative number indicators are not included in the FBI's codebook for this data but are present in the data. I used the values in the FBI's codebook for the Offenses Known and Clearances by Arrest data.To make it easier to merge with other data, I merged this data with the Law Enforcement Agency Identifiers Crosswalk (LEAIC) data. The data from the LEAIC add FIPS (state, county, and place) and agency type/subtype. If an agency has used a different FIPS code in the past, check to make sure the FIPS code is the same as in this data.

Bank Sensors Market Outlook

The global bank sensors market size was valued at USD 1.2 billion in 2023 and is projected to reach USD 2.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.5% from 2024 to 2032. The primary growth factor driving this market is the increasing need for enhanced security measures in banking institutions to prevent unauthorized access and fraudulent activities.

The demand for bank sensors is significantly fueled by the persistent threat of bank robberies and financial crimes, which have become more sophisticated with the advent of technology. Banks are investing extensively in advanced sensor technology to safeguard their premises, assets, and customer data. These security measures include the installation of pressure sensors, motion sensors, and proximity sensors to detect any suspicious activities in real-time, thereby preventing potential breaches and ensuring a secure banking environment.

Additionally, regulatory mandates and compliance requirements are pushing banks to upgrade their security systems. Governments and financial regulatory bodies across the globe are implementing stringent norms to enhance the security framework within financial institutions. Compliance with these regulations necessitates the adoption of advanced sensor technologies, further propelling the growth of the bank sensors market. Banks are now compelled to integrate these sensors into their security systems to meet these regulatory standards, thereby ensuring that they are well-protected against any form of intrusion or security breach.

Technological advancements in sensor technology also play a crucial role in market growth. Innovations such as wireless sensors and Internet of Things (IoT) enabled devices are transforming the security landscape within banks. These advancements not only improve the accuracy and efficiency of security systems but also offer scalable solutions that can be easily integrated into existing infrastructure. The adoption of such cutting-edge technology is expected to accelerate the growth of the bank sensors market over the forecast period.

In the realm of banking security, Sensor Protection Devices have emerged as a pivotal component in safeguarding financial institutions against potential threats. These devices are designed to shield sensors from environmental factors and tampering, ensuring their optimal performance and longevity. By providing an additional layer of protection, Sensor Protection Devices enhance the reliability of bank sensors, which are crucial for detecting unauthorized access and preventing fraudulent activities. Their integration into the security infrastructure of banks not only fortifies the sensors but also contributes to maintaining a secure and trustworthy banking environment. As banks continue to invest in advanced security measures, the demand for robust Sensor Protection Devices is expected to rise, further driving the growth of the bank sensors market.

From a regional perspective, North America is anticipated to dominate the bank sensors market due to its advanced banking infrastructure and early adoption of innovative technologies. However, significant growth is also expected in the Asia Pacific region, driven by the rapid expansion of banking services and increasing investment in security systems in countries like China and India. Europe and Latin America are also expected to contribute substantially to market growth, driven by regulatory compliance and the modernization of banking infrastructure.

Sensor Type Analysis

The bank sensors market is segmented by sensor type, which includes pressure sensors, temperature sensors, proximity sensors, motion sensors, and others. Pressure sensors are widely used in bank vaults and ATMs to detect any unauthorized attempts to tamper with these secure environments. The primary advantage of pressure sensors is their ability to provide real-time data on any pressure changes, which can indicate potential security breaches. This type of sensor is crucial for ensuring the integrity of high-security areas within banks.

Temperature sensors are another vital component of bank security systems, especially in areas where temperature fluctuations could indicate unauthorized access. For instance, a sudden rise in temperature in a secured vault could point to the use of cutting tools or other equipment, triggering an alarm for immediate action. These sensors ensure that bank environment

Incident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police, 1998 to 2024.

Saudi Arabia Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data was reported at 61.900 % in 2022. Saudi Arabia Losses Due To Theft and Vandalism: % of Annual Sales for Affected Firms data is updated yearly, averaging 61.900 % from Dec 2022 (Median) to 2022, with 1 observations. The data reached an all-time high of 61.900 % in 2022 and a record low of 61.900 % in 2022. Saudi Arabia 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 Saudi Arabia – Table SA.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;