In 2023, the violent crime rate in the United States was 363.8 cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. In addition, due to the FBI's transition to a new crime reporting system in which law enforcement agencies voluntarily submit crime reports, data may not accurately reflect the total number of crimes committed in recent years. Reported violent crime rate in the United States The United States Federal Bureau of Investigation tracks the rate of reported violent crimes per 100,000 U.S. inhabitants. In the timeline above, rates are shown starting in 1990. The rate of reported violent crime has fallen since a high of 758.20 reported crimes in 1991 to a low of 363.6 reported violent crimes in 2014. In 2023, there were around 1.22 million violent crimes reported to the FBI in the United States. This number can be compared to the total number of property crimes, roughly 6.41 million that year. Of violent crimes in 2023, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Law enforcement officers and crime clearance Though the violent crime rate was down in 2013, the number of law enforcement officers also fell. Between 2005 and 2009, the number of law enforcement officers in the United States rose from around 673,100 to 708,800. However, since 2009, the number of officers fell to a low of 626,900 officers in 2013. The number of law enforcement officers has since grown, reaching 720,652 in 2023. In 2023, the crime clearance rate in the U.S. was highest for murder and non-negligent manslaughter charges, with around 57.8 percent of murders being solved by investigators and a suspect being charged with the crime. Additionally, roughly 46.1 percent of aggravated assaults were cleared in that year. A statistics report on violent crime in the U.S. can be found here.

The violent crime rate in Pennsylvania increased by **** percent from 2019 to 2020. Nevertheless, average violent crime rate in the United States in 2020 only increased by *** percent from the previous year.

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.

The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Visit crimecards.dc.gov for more information. This data is shared via an automated process where addresses are geocoded to the District's Master Address Repository and assigned to the appropriate street block. Block locations for some crime points could not be automatically assigned resulting in 0,0 for x,y coordinates. These can be interactively assigned using the MAR Geocoder.On February 1 2020, the methodology of geography assignments of crime data was modified to increase accuracy. From January 1 2020 going forward, all crime data will have Ward, ANC, SMD, BID, Neighborhood Cluster, Voting Precinct, Block Group and Census Tract values calculated prior to, rather than after, anonymization to the block level. This change impacts approximately one percent of Ward assignments.

The global crime analytics software market is expected to grow at CAGR of 8.2% for the forecast period 2023-2030.

Growing demand for effective crime prevention and reduction techniques due to rising crime rate is expected to drive the growth of the crime analytics software market
North America dominates the crime analytics software market

Key Dynamics of Crime Analytics Software Market.

Key Drivers of Crime Analytics Software Market.

Increasing Urban Crime Rates and Concerns for Public Safety: As urban populations expand and criminal activities become more sophisticated, law enforcement agencies face mounting pressure to take proactive measures. The use of crime analytics software facilitates real-time monitoring, predictive policing, and data-driven decision-making, all aimed at enhancing public safety and optimizing resource allocation.

Government and Law Enforcement Agency Adoption: Across various regions, governments are making significant investments in smart policing infrastructure. Crime analytics tools are being incorporated into national security and policing frameworks to identify patterns, anticipate threats, and enable quicker responses. Such investments are a major driver of market growth.

Advancements in AI, Big Data, and Geospatial Technologies: The advancement of artificial intelligence, machine learning, and GIS technologies significantly boosts the capabilities of crime analytics software. These innovations support real-time crime mapping, recognition of behavioral patterns, and the generation of actionable insights, which contribute to more effective crime prevention and resolution.

Key Restrains for Crime Analytics Software Market.

Concerns Regarding Data Privacy and Ethics: The utilization of personal data for predictive analytics raises critical issues related to surveillance, bias, and civil liberties. Any misuse or lack of transparency in data collection and analysis can result in legal challenges and public discontent.

High Costs of Implementation and Integration: The deployment of crime analytics systems necessitates substantial investment in hardware, software, training, and data infrastructure. For smaller municipalities or agencies with constrained budgets, the significant initial and ongoing expenses may hinder or restrict adoption.

Challenges of Inconsistent Data Sources and System Fragmentation: Crime data is frequently sourced from various entities—law enforcement, public safety, social media, etc.—which may not adhere to standardization or interoperability. This fragmentation can impede data accuracy and the overall effectiveness of crime analysis platforms.

Key Trends in Crime Analytics Software Market.

Increasing Adoption of Predictive Policing Models: Law enforcement agencies are progressively utilizing predictive analytics to identify potential crime hotspots and strategically deploy officers. These models analyze historical crime data, along with factors such as time, location, and environmental conditions, to predict incidents and mitigate crime rates.

Integration with Body Cameras and Surveillance Systems: Crime analytics systems are being combined with live video feeds, CCTV networks, and body-worn cameras. This integration facilitates real-time monitoring, evidence gathering, and automated identification of suspects, thereby improving overall situational awareness.

Expansion of Cloud-Based and Mobile Solutions: Cloud-based and mobile-compatible crime analytics applications provide remote access, enable collaboration across different jurisdictions, and offer real-time data updates. These solutions are becoming increasingly favored due to their scalability, cost-effectiveness, and enhanced operational flexibility for law enforcement agencies.

The COVID-19 impact on the Crime Analytics Software Market.

The COVID-19 pandemic has had a significant impact on the crime analytics software market, resulting in both challenges and opportunities for the industry. The most immediate impact of the pandemic was the widespread imposition of travel restrictions, lockdowns, and quarantines. Due to the lockdowns, social distancing measures, and changes in daily routines, the burglary and street-level crimes have noticed some reduction. Crime analytics software would have been crucial in identifying and analysing these shifts. Remote work became essential during the pandemic, including for law enforcement agencies....

Crime isn't a topic most people want to use mental energy to think about. We want to avoid harm, protect our loved ones, and hold on to what we claim is ours. So how do we remain vigilant without digging too deep into the filth that is crime? Data, of course. The focus of our study is to explore possible trends between crime and communities in the city of Calgary. Our purpose is visualize Calgary criminal behaviour in order to help increase awareness for both citizens and law enforcement. Through the use of our visuals, individuals can make more informed decisions to improve the overall safety of their lives. Some of the main concerns of the study include: how crime rates increase with population, which areas in Calgary have the most crime, and if crime adheres to time-sensative patterns.

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), police services in Ontario, 1998 to 2024.

In 2023, the state with the highest crime rate in the United States per 100,000 inhabitants was New Mexico. That year, the crime rate was ******** crimes per 100,000 people. In comparison, New Hampshire had the lowest crime rate at ****** crimes per 100,000 people. Crime rate The crime rate in the United States has generally decreased over time. There are several factors attributed to the decrease in the crime rate across the United States. An increase in the number of police officers and an increase in income are some of the reasons for a decrease in the crime rate. Unfortunately, people of color have been disproportionately affected by crime rates, as they are more likely to be arrested for a crime versus a white person. Crime rates regionally The District of Columbia had the highest rate of reported violent crimes in the United States in 2023 per 100,000 inhabitants. The most common crime clearance type in metropolitan counties in the United States in 2020 was murder and non-negligent manslaughter. The second most dangerous city in the country in 2020 was Detroit. Detroit has faced severe levels of economic and demographic declines in the past years. Not only has the population decreased, the city has filed for bankruptcy. Despite the median household income increasing, the city still struggles financially.

Note: Due to the RMS change for CPS, this data set stops on 6/2/2024. For records beginning on 6/3/2024, please see the dataset at this link: https://data.cincinnati-oh.gov/safety/Reported-Crime-STARS-Category-Offenses-/7aqy-xrv9/about_data

The combined data will be available by 3/10/2025 at the linke above.

Data Description: This data represents reported Crime Incidents in the City of Cincinnati. Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations. This does not include police calls for service, arrest information, final case determination, or any other incident outcome data.

Data Creation: The Cincinnati Police Department's (CPD) records crime incidents in the City through Records Management System (RMS) that stores agency-wide data about law enforcement operations.

Data Created By: The source of this data is the Cincinnati Police Department.

Refresh Frequency: This data is updated daily.

CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/8eaa-xrvz

Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.

Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).

Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad

Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.

Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).

Investigator(s): United Nations Office at Vienna, R.W. Burnham, Helen Burnham, Bruce DiCristina, and Graeme Newman The United Nations Surveys of Crime Trends and Operations of Criminal Justice Systems (formerly known as the United Nations World Crime Surveys) series was begun in 1978 and is comprised of five quinquennial surveys covering the years 1970-1975, 1975-1980, 1980-1986, 1986-1990, and 1990-1994. The project was supported by the United States Bureau of Justice Statistics, and conducted under the auspices of the United Nations Criminal Justice and Crime Prevention Branch, United Nations Office in Vienna. Data gathered on crime prevention and criminal justice among member nations provide information for policy development and program planning. The main objectives of the survey include: to conduct a more focused inquiry into the incidence of crime worldwide, to improve knowledge about the incidence of reported crime in the global development perspective and also international understanding of effective ways to counteract crime, to improve the dissemination globally of the information collected, to facilitate an overview of trends and interrelationships among various parts of the criminal justice system so as to promote informed decision-making in its administration, nationally and cross-nationally, and to serve as an instrument for strengthening cooperation among member states by putting the review and analysis of national crime-related data in a broader context. The surveys also provide a valuable source of charting trends in crime and criminal justice over two decades.

Disclaimer: Crime Responses is provided by the Gainesville Police Department (GPD) to document initial details surrounding an incident to which GPD officers respond. This dataset contains crime incidents from 2011 to present and includes a reduced set of fields focused on capturing the type of incident as well when and where an incident occurred. The Incident location addresses have been rounded off and are not the exact location due to the constitutional amendment known as "Marsy's Law".

In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.

The crime rate in London was 105.8 crime offences per thousand people for the 2023/24 reporting year, compared with 100.9 in the previous year. Between 2015/16 and 2019/20 the crime rate in the UK capital increased in every reporting year, with the sudden drop seen in 2019/20 due to the COVID-19 pandemic causing a sharp reduction in certain types of crime such as robbery and theft. Police record over 938,00 crimes in 2023/24 The number of crimes reported by the police in London was 938,020 in 2023/24, compared with 887,870 in the previous reporting year. Although there was a slight dip in overall recorded crime in the aftermath of the pandemic, this was not the case for violent crimes which have risen consistently. One positive is that the number of homicide offences in 2023/24 has remained beneath the 159 reported in 2017/18. Additionally, the Metropolitan Police force area has a lower crime rate than many of the UK's other major police forces, such as West Yorkshire, Greater Manchester, and Merseyside. Police recruitment drive ends era of cuts   The rise in crime in London happened alongside a decline in both personnel and funding for the London Metropolitan Police. Compared with 2010 for example, there were around 3,000 fewer police officers in 2018, while annual funding was reduced to around 3.3 billion pounds between 2013/14 and 2018/19, compared with 3.62 billion in 2012/13. These cuts were due to the policy of austerity that was implemented by the UK government during that time period, but this has recently been replaced by pledges to increase spending and to recruit more police. In 2023/24, the budget for the Metropolitan Police was 4.53 billion pounds, while the number of officers in 2023 increased to around 34,900.

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.

Context

Approximately 10 people are shot on an average day in Chicago.

http://www.chicagotribune.com/news/data/ct-shooting-victims-map-charts-htmlstory.html http://www.chicagotribune.com/news/local/breaking/ct-chicago-homicides-data-tracker-htmlstory.html http://www.chicagotribune.com/news/local/breaking/ct-homicide-victims-2017-htmlstory.html

Content

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. 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. This data includes unverified reports supplied to the Police Department. 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.

Update Frequency: Daily

Fork this kernel to get started.

Acknowledgements

https://bigquery.cloud.google.com/dataset/bigquery-public-data:chicago_crime

https://cloud.google.com/bigquery/public-data/chicago-crime-data

Dataset Source: City of Chicago

This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source —https://data.cityofchicago.org — and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.

Banner Photo by Ferdinand Stohr from Unplash.

Inspiration

What categories of crime exhibited the greatest year-over-year increase between 2015 and 2016?

Which month generally has the greatest number of motor vehicle thefts?

How does temperature affect the incident rate of violent crime (assault or battery)?

https://cloud.google.com/bigquery/images/chicago-scatter.png" alt=""> https://cloud.google.com/bigquery/images/chicago-scatter.png

Each quarter, ACT Policing issues crime statistics illustrating the offences reported or becoming known in suburbs across Canberra.

The selected offences highlighted in the statistics include: assault, sexual offences, robbery, burglary, motor vehicle theft, other theft (such as shoplifting and fraud) and property damage. It is important to note that these numbers may fluctuate as new complainants come forward, more Traffic Infringement Notices are downloaded into the system, or when complaints are withdrawn.

It should also be noted that the individual geographical areas will not combine to the ACT totals due to the exclusion of rural sectors and other regions.

It is important for the community to understand there may be a straight-forward explanation for a spike in offences in their neighbourhood.

For example, sexual offences in Narrabundah increased from two in the January to March last year, to 32 in the first quarter of 2012. These 32 sexual offences relate to one historical case which was reported to police in January 2012, and which has since been finalised.

The smaller the number of reported offences involved, the greater the chance for a dramatic percentage increase.

An interactive crime map is also available on the ACT Policing website https://www.policenews.act.gov.au/crime-statistics-and-data/crime-statistics

***Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. ***

******Update 1/18/2024 - LAPD is facing issues with posting the Crime data, but we are taking immediate action to resolve the problem. We understand the importance of providing reliable and up-to-date information and are committed to delivering it.

As we work through the issues, we have temporarily reduced our updates from weekly to bi-weekly to ensure that we provide accurate information. Our team is actively working to identify and resolve these issues promptly.

We apologize for any inconvenience this may cause and appreciate your understanding. Rest assured, we are doing everything we can to fix the problem and get back to providing weekly updates as soon as possible. ******

This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.

The global market for crime analytics tools is experiencing robust growth, driven by increasing crime rates, the need for improved law enforcement efficiency, and the rising adoption of advanced technologies like AI and machine learning. The market, currently valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $7 billion by 2033. This expansion is fueled by several key factors. Firstly, the growing availability of large datasets, including crime records, social media feeds, and sensor data, provides rich material for sophisticated analytical models. Secondly, advancements in predictive policing algorithms allow law enforcement agencies to proactively deploy resources, leading to improved crime prevention and response times. Finally, the increasing focus on evidence-based policing and accountability necessitates the use of data-driven tools for informed decision-making. Companies like LexisNexis, IBM, and Motorola Solutions are major players in this expanding market, contributing to innovation and competition. However, the market faces challenges. Concerns surrounding data privacy and ethical considerations regarding the use of predictive policing algorithms present significant hurdles. Furthermore, the high cost of implementation and the need for specialized expertise can limit adoption, particularly in smaller jurisdictions with limited budgets. Despite these challenges, the overall trajectory remains positive, driven by the undeniable value proposition of crime analytics in improving public safety and resource allocation. Segmentation within the market is likely to emerge along various lines, including the type of analytics offered (predictive, prescriptive, descriptive), the deployment model (cloud, on-premise), and the specific applications (crime prediction, investigation support, resource optimization). The North American market currently holds the largest share, reflecting high technology adoption and funding, but growth in other regions like Europe and Asia-Pacific is expected to accelerate.

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

This study focused on the effect of economic resources and racial/ethnic composition on the change in crime rates from 1970-2004 in United States cities in metropolitan areas that experienced a large growth in population after World War II. A total of 352 cities in the following United States metropolitan areas were selected for this study: Atlanta, Dallas, Denver, Houston, Las Vegas, Miami, Orange County, Orlando, Phoenix, Riverside, San Bernardino, San Diego, Silicon Valley (Santa Clara), and Tampa/St. Petersburg. Selection was based on the fact that these areas developed during a similar time period and followed comparable development trajectories. In particular, these 14 areas, known as the "boomburbs" for their dramatic, post-World War II population growth, all faced issues relating to the rapid growth of tract-style housing and the subsequent development of low density, urban sprawls. The study combined place-level data obtained from the United States Census with crime data from the Uniform Crime Reports for five categories of Type I crimes: aggravated assaults, robberies, murders, burglaries, and motor vehicle thefts. The dataset contains a total of 247 variables pertaining to crime, economic resources, and race/ethnic composition.