Summary Reporting System (SRS) and the National Incident-Based Reporting System (NIBRS) are part of the FBI's Uniform Crime Reporting system. SRS and NIBRS collect data on crime incidents that are reported by law enforcement agencies across the country. Because SRS and NIBRS data are collected differently, they cannot be compared. NIBRS was created in the 1980s to collect more detailed information on crime. Washington NIBRS data begins in 2012.

Summary Reporting System (SRS) and the National Incident-Based Reporting System (NIBRS) are part of the FBI's Uniform Crime Reporting system. SRS and NIBRS collect data on crime incidents that are reported by law enforcement agencies across the country. Because SRS and NIBRS data are collected differently, they cannot be compared.

SRS has been used since the 1930s to collect national crime data. Washington SRS data is available from 1994 to 2018. Data will no longer be produced from the SRS as of 2018.

In 2023, the District of Columbia had the highest reported violent crime rate in the United States, with 1,150.9 violent crimes per 100,000 of the population. Maine had the lowest reported violent crime rate, with 102.5 offenses per 100,000 of the population. Life in the District The District of Columbia has seen a fluctuating population over the past few decades. Its population decreased throughout the 1990s, when its crime rate was at its peak, but has been steadily recovering since then. While unemployment in the District has also been falling, it still has had a high poverty rate in recent years. The gentrification of certain areas within Washington, D.C. over the past few years has made the contrast between rich and poor even greater and is also pushing crime out into the Maryland and Virginia suburbs around the District. Law enforcement in the U.S. Crime in the U.S. is trending downwards compared to years past, despite Americans feeling that crime is a problem in their country. In addition, the number of full-time law enforcement officers in the U.S. has increased recently, who, in keeping with the lower rate of crime, have also made fewer arrests than in years past.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in King County, WA (DISCONTINUED) (FBITC053033) from 2005 to 2021 about King County, WA; crime; violent crime; property crime; Seattle; WA; and USA.

Number of personal violent and property crimes in Pierce County.

Only specific crimes are highlighted in the crime rates presented here. These numbers represent total numbers of reported crimes in each category (not arrests which may occur over a prolonged period).

The following categories represent the personal violent crimes considered in this data: Murder, Manslaughter, Forcible Sex, Assault, Kidnapping/Abduction, Human Trafficking, and Robbery.

The following categories represent the property crimes considered in this data: Burglary, Theft, Arson, and Destruction of Property.

Each set of crimes is totaled, then the rate per 1,000 people is calculated using the total # of crimes and the current population of each jurisdiction per year as provided in the same report.

This is a voluntary program and as such, some law enforcement agencies do not participate or have only recently participated, which is also reflected in this table.

In 2023, the property crime rate in the District of Columbia was 4,307.4 reported property crimes per 100,000 residents. New Mexico, Washington, Colorado and Louisiana rounded out the top five states with the highest rates of property crime in that year.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Washington County, KS (DISCONTINUED) (FBITC020201) from 2005 to 2021 about Washington County, KS; crime; violent crime; property crime; KS; and USA.

This dataset shows crime statistics for the City of Clarkston, WA Police Department.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Mason County, WA (DISCONTINUED) (FBITC053045) from 2005 to 2021 about Mason County, WA; crime; violent crime; property crime; WA; and USA.

This dataset reports National Incident Based Reporting System (NIBRS) crime statistics from most Washington law enforcement agencies since 2016. The data is a "shapshot" of crime statistics as they were originally reported to the Washington Association of Sheriffs and Police Chiefs (WASPC) and the FBI. Data displayed should not be compared to statistics reported by the FBI as those statistics have been converted to the Summary Reporting System (SRS).

Access to the Washington State Criminal Justice Data Book. For additional information about the data available and an online query system, click https://sac.ofm.wa.gov/data

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Jefferson County, WV (DISCONTINUED) (FBITC054037) from 2006 to 2021 about Jefferson County, WV; crime; violent crime; property crime; Washington; WV; and USA.

This data shows approximate location of select offenses within unincorporated Pierce County, and the cities of Bonney Lake, Eatonville, Edgewood, Gig Harbor, Puyallup, South Prairie, and University Place. The data is for the previous 12 months and is updated monthly. Please see full metadata (https://matterhorn.piercecountywa.gov/GISmetadata/pdbsd_crime_data.html) for additional information. Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

The URL provided here links to the LexisNexis Community Crime Map viewer. This is an external website not produced by the City of Vancouver; crime data is submitted by the Vancouver Police Department and other local area law enforcement agencies and is meant for public information.NOTE: This product and the information shown is provided "AS IS" and exists for informational purposes only. The City of Vancouver (COV) makes no warranties regarding the accuracy of such data. This product and information is not prepared, nor is suitable, for legal, engineering, or surveying purposes. Any sale, reproduction or distribution of this information, or products derived therefrom, in any format is expressly prohibited. Data are provided by multiple sources and subject to change without notice.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The study includes data collected with the purpose of creating an integrated dataset that would allow researchers to address significant, policy-relevant gaps in the literature--those that are best answered with cross-jurisdictional data representing a wide array of economic and social factors. The research addressed five research questions: What is the impact of gentrification and suburban diversification on crime within and across jurisdictional boundaries? How does crime cluster along and around transportation networks and hubs in relation to other characteristics of the social and physical environment? What is the distribution of criminal justice-supervised populations in relation to services they must access to fulfill their conditions of supervision? What are the relationships among offenders, victims, and crimes across jurisdictional boundaries? What is the increased predictive power of simulation models that employ cross-jurisdictional data?

Suburb-based crime statistics for crimes against the person and crimes against property. The Crime statistics datasets contain all offences against the person and property that were reported to police in that respective financial year. The Family and Domestic Abuse-related offences datasets are a subset of this, in that a separate file is presented for these offences that were flagged as being of a family and domestic abuse nature for that financial year. Consequently the two files for the same financial year must not be added together.

In 2023, around 3,640.56 violent crimes per 100,000 residents were reported in Oakland, California. This made Oakland the most dangerous city in the United States in that year. Four categories of violent crimes were used: murder and non-negligent manslaughter; forcible rape; robbery; and aggravated assault. Only cities with a population of at least 200,000 were considered.

In 2022, the New Orleans-Metairie, LA metro area recorded the highest homicide rate of U.S. cities with a population over 250,000, at 27.1 homicides per 100,000 residents, followed by the Memphis, TN-MS-AR metro area. However, homicide data was not recorded in all U.S. metro areas, meaning that there may be some cities with a higher homicide rate.

St. Louis

St. Louis, which had a murder and nonnegligent manslaughter rate of 11.6 in 2022, is the second-largest city by population in Missouri. It is home to many famous treasures such as the St. Louis Cardinals baseball team, Washington University in St. Louis, the Saint Louis Zoo, and the renowned Gateway Arch. It is home to many corporations such as Monsanto, Arch Coal, and Emerson Electric. The economy of St. Louis is centered around business and healthcare, and in addition is home to ten Fortune 500 companies.

Crime in St. Louis

Despite all of this, St. Louis suffers from high levels of crime and violence. As of 2023, it was listed as the seventh most dangerous city in the world as a result of their extremely high murder rate. Not only does St. Louis have one of the highest homicide rates in the United States, it also reports one of the highest numbers of violent crimes. In spite of high crime levels, the GDP of the St. Louis metropolitan area has been increasing since 2001.

The purpose of this project was to conduct an evaluation of the impact on crime of the closing, renovation, and subsequent reopening of selected public housing developments under the United States Department of Housing and Urban Development's (HUD) Housing Opportunities for People Everywhere (HOPE VI) initiative. The study examined crime displacement and potential diffusion of benefits in and around five public housing developments that, since 2000, had been redeveloped using funds from HUD's HOPE VI initiative and other sources. In Milwaukee, Wisconsin, three sites were selected for inclusion in the study. However, due to substantial overlap between the various target sites and displacement zones, the research team ultimately decided to aggregate the three sites into a single target area. A comparison area was then chosen based on recommendations from the Housing Authority of the City of Milwaukee (HACM). In Washington, DC, two HOPE VI sites were selected for inclusion in the study. Based on recommendations from the District of Columbia Housing Authority (DCHA), the research team selected a comparison site for each of the two target areas. Displacement areas were then drawn as concentric rings ("buffers") around the target areas in both Milwaukee, Wisconsin and Washington, DC. Address-level incident data were collected for the city of Milwaukee from the Milwaukee Police Department for the period January 2002 through February 2010. Incident data included all "Group A" offenses as classified under National Incident Based Reporting System (NIBRS). The research team classified the offenses into personal and property offenses. The offenses were aggregated into monthly counts, yielding 98 months of data (Part 1: Milwaukee, Wisconsin Data). Address-level data were also collected for Washington, DC from the Metropolitan Police Department for the time period January 2000 through September 2009. Incident data included all Part I offenses as classified under the Uniform Crime Report (UCR) system. The data were classified by researchers into personal and property offenses and aggregated by month, yielding 117 months of data (Part 2: Washington, DC Data). Part 1 contains 15 variables, while Part 2 contains a total of 27 variables. Both datasets include variables on the number of personal offenses reported per month, the number of property offenses reported per month, and the total number of incidents reported per month for each target site, buffer zone area (1000 feet or 2000 feet), and comparison site. Month and year indicators are also included in each dataset.

Violent crime rates for Everett, Snohomish County, Washington State, and the US as reported by the FBI's National Incident-Based Reporting System (NIBRS) program. The violent crime rate is defined as the number of reported violent crimes per 100,000 residents. Violent crime figures include the offenses of murder, rape, robbery, and aggravated assault. Note that County population figures come from the US Census Bureau's American Community Survey.