FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Las Vegas Metropolitan Police Department (City) in Nevada, including incidents, statistics, demographics, and detailed incident information.

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.

The Department of Justice launched Operation Weed and Seed in 1991 as a means of mobilizing a large and varied array of resources in a comprehensive, coordinated effort to control crime and drug problems and improve the quality of life in targeted high-crime neighborhoods. In the long term, Weed and Seed programs are intended to reduce levels of crime, violence, drug trafficking, and fear of crime, and to create new jobs, improve housing, enhance the quality of neighborhood life, and reduce alcohol and drug use. This baseline data collection effort is the initial step toward assessing the achievement of the long-term objectives. The evaluation was conducted using a quasi-experimental design, matching households in comparison neighborhoods with the Weed and Seed target neighborhoods. Comparison neighborhoods were chosen to match Weed and Seed target neighborhoods on the basis of crime rates, population demographics, housing characteristics, and size and density. Neighborhoods in eight sites were selected: Akron, OH, Bradenton (North Manatee), FL, Hartford, CT, Las Vegas, NV, Pittsburgh, PA, Salt Lake City, UT, Seattle, WA, and Shreveport, LA. The "neighborhood" in Hartford, CT, was actually a public housing development, which is part of the reason for the smaller number of interviews at this site. Baseline data collection tasks included the completion of in-person surveys with residents in the target and matched comparison neighborhoods, and the provision of guidance to the sites in the collection of important process data on a routine uniform basis. The survey questions can be broadly divided into these areas: (1) respondent demographics, (2) household size and income, (3) perceptions of the neighborhood, and (4) perceptions of city services. Questions addressed in the course of gathering the baseline data include: Are the target and comparison areas sufficiently well-matched that analytic contrasts between the areas over time are valid? Is there evidence that the survey measures are accurate and valid measures of the dependent variables of interest -- fear of crime, victimization, etc.? Are the sample sizes and response rates sufficient to provide ample statistical power for later analyses? Variables cover respondents' perceptions of the neighborhood, safety and observed security measures, police effectiveness, and city services, as well as their ratings of neighborhood crime, disorder, and other problems. Other items included respondents' experiences with victimization, calls/contacts with police and satisfaction with police response, and involvement in community meetings and events. Demographic information on respondents includes year of birth, gender, ethnicity, household income, and employment status.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Las Vegas Paiute Tribal (Tribal) in Nevada, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Las Vegas-Henderson-North Las Vegas, NV Metropolitan Statistical Area (MSA), including incidents, statistics, demographics, and agency information across multiple jurisdictions.

This statistics illustrate the opinion of Italians about postponing the discussion on gun laws after the massacre in Las Vegas in 2017. President of the United States of America Donald Trump declared that the gun law will be discussed later. According to data the majority of Italians (** percent) doesn't agree with him.

The gunshot detection technology market is booming, projected to reach $0.89B in 2025 and grow at a CAGR of 9.91% until 2033. Driven by rising crime rates and technological advancements, this report analyzes market trends, key players (ShotSpotter, RTX, Thales), and regional growth, offering insights for investors and stakeholders. Recent developments include: March 2024: Shooter Detection Systems (SDS) is gearing up to unveil its state-of-the-art "Active Shooter Intelligence" at ISC West in Las Vegas. To promote safer environments and combat gun violence, SDS joined forces with Alarm.com. Their joint mission is to democratize advanced gunshot detection technology, making it accessible to organizations of all sizes. In a recent partnership milestone, SDS's Indoor Gunshot Detection sensors seamlessly integrated with Alarm.com's commercial platform. This integration enhanced the sensors' efficacy and introduced a holistic cloud-based solution. This solution encompasses gunshot detection, video surveillance, access control, real-time alerts, and remote monitoring., January 2023: Shooter Detection Systems, based in Massachusetts, collaborated with the Department of Homeland Security to introduce the SDS Outdoor, a portable gunshot detection system. According to the department, the system provides immediate critical data on outdoor shooting incidents, equipping first responders with timely and accurate information., March 2022: Syracuse University activated an advanced gunshot detection system on its north wall. This system identifies and locates gunfire and promptly alerts the Syracuse Police Department, enhancing response times. The system's USD 171,000 expansion was funded through the American Rescue Plan Act (ARPA) pandemic relief funds.. Notable trends are: The Law Enforcement Segment Is Anticipated to Record the Highest CAGR During the Forecast Period.

On October 1, 2017, the highest number of fatalities from a mass shooting in the United States was recorded when Stephen Paddock attacked a crowd of concert-goers on the Las Vegas strip, killing 58 and injuring 546 others, then taking his own life before authorities could apprehend him. Most recently, one of the worst mass shootings in the U.S. occurred in Maine on October 26, 2023, when Robert Card, an Army reservist and firearms instructor, opened fire in a bowling alley and a bar, killing 18 and injuring 13 others. Card then became the focus of a two-day-long manhunt, until he was found dead from a self-inflicted gunshot.

Context

It ranked roughly in the middle. Boston was more violent than New York and Seattle, but less violent than Chicago and Las Vegas, according to numbers from the FBI, based on crimes committed in 2015. Nationally, Boston ranked 47 out of 79 cities with populations of 250,000 or more.

Can we prediction offenses (time, location, probability)? It is main question and task for me. I want to prediction time, location and probability for offenses.

More information about it - GitHub.

Content

About my data.csv : GitHub

• YEAR - 2012-2018
• MONTH - 1-12
• DAY 1-31
• OCCURRED_ON_DATE - YYYY-MM-DD HH:MM:SS
• DAY_OF_WEEK - Monday - Sunday
• HOUR - 0-23
• DISTRICT - categories 12 unique values "A district is a type of administrative division that, in some countries, is managed by local government." , What district the crime was reported in
• Lat float - Location latitude
• Long float - Location longitude
• OFFENSE_CODE_GROUP categories 20-23 unique values I used 10 groups. Internal categorization of (offense_description)
• REPORTING_AREA int - RA number associated with the where the crime was reported from.
• SHOOTING boolean 0/1 Offenses with shooting or without shooting
• UCR_PART categories 4 unique values The Uniform Crime Reports (UCR). Indicated a shooting took place.
• Day boolean 0/1 Day or night
• Night boolean 0/1 Night or day
• ToDay int - Number of hour to day
• ToNight int - Number of hour to night
• WEATHER
• temperatureMin float -
• temperatureMax float -
• temperatureDifference float - temperatureMax - temperatureMin
• precipitation float -
• snow float -
• clust_50 int 50 K-means clusters for Location (Lat, Long)
• clust_100 int 100 K-means clusters for Location (Lat, Long)
• clust_200 int 200 K-means clusters for Location (Lat, Long)
• Universities_colleges_distance_25 float - Percentile for all distances (25%)
• Universities_colleges_distance_min float - Minimum distance some object near offenses location
• Universities_colleges_number_near int - Number of Universities & colleges, which is nearer than 3 km for offenses location
• Public_schools_distance_25 float - Percentile for all distances (25%)
• Public_schools_distance_min float - Minimum distance some object near offenses location
• Public_schools_number_near int - Number of Public schools, which is nearer than 3 km for offenses location
• Non-Public_schools_distance_25 float - Percentile for all distances (25%)
• Non-Public_schools_distance_min float - Minimum distance some object near offenses location
• Non-Public_schools_number_near int - Number of Non Public schools, which is nearer than 3 km for offenses location

Acknowledgements

All data from Boston Open Data. Link

Inspiration

Can we prediction offenses (time, location, probability)?

Motivation - AI for Crime Prevention and Detection – Current Applications

As of August 2025, California had the most mass shootings in the United States, with 26 total shootings since 1982. The source defines a mass shooting as a shooting where three or more people were killed. Recently, a mass shooting occurred in the state of Maine on October 26, 2023, during which one of the highest number of fatalities from a mass shooting was recorded after Robert Card opened fire in a bowling alley and a bar, killing 18 and injuring 13 others. Firearms in the U.S. Mass shootings in the United States are disturbingly common. In comparison with other Western countries, there are significantly more shootings in the U.S., which some theorize is due to the relatively lax gun control laws. Gun control laws in the U.S. are dependent on the state, and the right to own a firearm is enshrined in the United States Constitution. Mass shootings The worst mass shooting in the U.S. was the Las Vegas Strip massacre in 2017, which resulted in 58 deaths and 546 injuries. 13 of the worst mass shootings in the United States have occurred since 2015 and the vast majority of these incidents in the U.S. have been carried out by shooters who are White and male.

There were public mass shootings in the United States in every year between 1998 and 2019, resulting in a total of almost 1,900 casualties. When compared with the number of victims of mass shootings in all other developed nations (based on UN specifications), the United States' figure is often higher than all of these countries combined. There were notable exceptions, such as the attacks in Paris on the evening of November 13. 2015, which resulted in 130 deaths and 416 injuries (the same year the Charlie Hebdo shooting killed 12 people and injured 11 more), the 2011 attacks in Oslo and Utøya, Norway and Liège, Belgium which had a combined casualty count of 240 due to gunfire. In the United States, the deadliest mass shooting in this time was the Las Vegas Strip massacre in 2017.