Violent Part 1 crime statistics by 1990 census tract.

The Seattle Police Department (SPD) replaced its Records Management System (RMS) in May 2019. To preserve data quality and continuity between systems (2008-Present), SPD relied on the National Incident-Based Reporting System (NIBRS). The standardization of crime classifications allows for comparison over time. For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs.

Additional groupings are used to analyze crime in SPD’s Crime Dashboard. Violent and property crime categories align with best practices. For additional inquiries, we encourage the use of the underline data to align with the corresponding query.

Disclaimer: Only finalized (UCR approved) reports are released. Those in draft, awaiting approval, or completed after the update, will not appear until the subsequent day(s). Data is updated once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process.

Seattle Part 1 Crime stats by precinct The precinct and beat data can be found at http://data.seattle.gov/Government/Seattle-Police-Department-Beats/nnxn-434b

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.

Seattle Part 1 Crime stats by precinct The precinct and beat data can be found at http://data.seattle.gov/Government/Seattle-Police-Department-Beats/nnxn-434b

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 Pierce County, WA (DISCONTINUED) (FBITC053053) from 2005 to 2021 about Pierce County, WA; crime; violent crime; property crime; Seattle; WA; and USA.

These incidents are based on initial police reports taken by officers when responding to incidents around the city. The information enters our Records Management System (RMS) and is then transmitted out to data.seattle.gov. This information is published within 6 to 12 hours after the report is filed into the system.

The King County Sheriff’s Office (KCSO) is providing offense report data captured in it's Records Management System (RMS) from 2020 to present. KCSO replaced its RMS in late 2018 and at the same time transitioned to the FBI’s National Incident-Based Reporting System (NIBRS). The NIBRS standardization of crime classifications allows for comparison over time and between agencies. For official KCSO NIBRS reporting, please visit the WASPC Crime in Washington Report: https://www.waspc.org/cjis-statistics---reports.

Disclaimer: Only finalized (supervisor approved) reports are released. Those in draft, awaiting supervisor approval, or completed after the daily update of data, will not appear until the subsequent day(s). Data updates once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process, thus reports might appear in the data set one day, but be removed the next day if there is a change in the approval status. This mirrors the fluidity of an investigation. Once a report is re-approved, it will show back up in the data set. Other than approval status, the report case status is factored into what can be released in the daily data set. As soon as a report case status matches the criteria for release, it will be included in the data set. For a list of offenses that are included in the data set, please see the attached pdf.

Resources: - KCSO's 2019 crime data: https://data.kingcounty.gov/Law-Enforcement-Safety/King-County-Sheriff-s-Office-Incident-Dataset/rzfs-wyvy - Police District GIS shapefile: https://gis-kingcounty.opendata.arcgis.com/datasets/king-county-sheriff-patrol-districts-patrol-districts-area/explore - Police District key: https://data.kingcounty.gov/Law-Enforcement-Safety/KCSO-Patrol-Districts/ptrt-hdax/data - For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs - SPD's Crime Data: https://data.seattle.gov/Public-Safety/SPD-Crime-Data-2008-Present/tazs-3rd5

The Seattle Police Department (SPD) replaced its Records Management System (RMS) in May 2019. To preserve data quality and continuity between systems (2008-Present), SPD relied on the National Incident-Based Reporting System (NIBRS). The standardization of crime classifications allows for comparison over time. For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs.

Additional groupings are used to analyze crime in SPD’s Crime Dashboard. Violent and property crime categories align with best practices. For additional inquiries, we encourage the use of the underline data to align with the corresponding query.

Disclaimer: Only finalized (UCR approved) reports are released. Those in draft, awaiting approval, or completed after the update, will not appear until the subsequent day(s). Data is updated once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process.

This study extends a prior National Institute (NIJ) funded study on mirco level places that examined the concentration of crime at places over time. The current study links longitudinal crime data to a series of other databases. The purpose of the study was to examine the possible correlates of variability in crime trends over time. The focus was on how crime distributes across very small units of geography. Specifically, this study investigated the geographic distribution of crime and the specific correlates of crime at the micro level of geography. The study reported on a large empirical study that investigated the "criminology of place." The study linked 16 years of official crime data on street segments (a street block between two intersections) in Seattle, Washington, to a series of datasets examining social and physical characteristics of micro places over time, and examined not only the geography of developmental patterns of crime at place but also the specific factors that are related to different trajectories of crime. The study used two key criminological perspectives, social disorganization theories and opportunity theories, to inform their identification of risk factors in the study and then contrast the impacts of these perspectives in the context of multivariate statistical models.

Analysis of ‘Micro Community Policing Plans’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9f4fb539-0715-44fe-a26e-7848e39f2de0 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

2017 Bias Incident Reports By Protected Class The Seattle Office for Civil Rights (SOCR) receives calls on the Bias Incident Reporting Line. Calls are received by front desk staff and logged. This dataset shows the amount of calls received each quarter of 2017 by protected class. A protected class is a characteristic of a person that is protected by the laws SOCR enforces such as race, gender identity, or disability. An “uncategorized” protected class means the caller did not provide a protected class. If you have questions about this data or want to learn more about the laws SOCR enforces, call 206-684-4500 or visit http://www.seattle.gov/civilrights. Visit Seattle Police Department’s Bias/Hate Crime Data site for information about bias/hate crimes: https://www.seattle.gov/police/information-and-data/bias-crime-unit/bias-crime-dashboard.

Seattle Part 1 Crime stats by precinct The precinct and beat data can be found at http://data.seattle.gov/Government/Seattle-Police-Department-Beats/nnxn-434b

This data represents crime reported to the Seattle Police Department (SPD). Each row contains the record of a unique event where at least one criminal offense was reported by a member of the community or detected by an officer in the field. This data is the same data used in meetings such as SeaStat (https://www.seattle.gov/police/information-and-data/seastat) for strategic planning, accountability and performance management.

These data contain offenses and offense categorization coded to simulate the standard reported to the FBI under the National Incident Based Reporting System (NIBRS) and used to generate Uniform Crime Report (UCR) summary statistics. As these records evolve, daily and are continually refreshed, they will not match official UCR statistics. They represent a more accurate state of the record.

Previous versions of this data set have withheld approximately 40% of crimes. This updated process includes all records of crime reports logged in the Departments Records Management System (RMS) since 2008, which are tracked as part of the SeaStat process. In an effort to safeguard the privacy of our community, offense reports will only be located to the “beat” level. Location specific coordinates will no longer be provided.

Beats are the most granular unit of management used for patrol deployment. To learn more about patrol deployment, please visit: https://www.seattle.gov/police/about-us/about-policing/precinct-and-patrol-boundaries. In addition to the Departments patrol deployment areas, these data contain the “Neighborhood” where the crime occurred, if available. This coding is used to align crime data with the Micro Community Policing Plan (MCPP). For more information see: https://www.seattle.gov/police/community-policing/about-mcpp.

As with any data, certain condition and qualifications apply: 1) These data are refreshed, daily and represent the most accurate, evolved state of the record.

2) Due to quality control processes, these data will lag between 2 and 6 weeks. Most changes will occur within that record and reports logged in the last 2 weeks should be treated as volatile. Analysts may wish to remove these records from their analysis.

3) Not all offenses are reported here, only the primary offense as determined by the “Hierarchy Rule.” For more information on NIBRS and UCR, see the FBI (https://ucr.fbi.gov/nibrs-overview).

4) This dataset contains records of offenses that occurred prior to “go-live” of the existing RMS. Records are queried based on the full population of data and are not constrained by “Occurred Date.”

We invite you to engage these data, ask questions and explore.

This data collection was designed to test the "incivilities thesis": that incivilities such as extant neighborhood physical conditions of disrepair or abandonment and troubling street behaviors contribute to residents' concerns for personal safety and their desire to leave their neighborhood. The collection examines between-individual versus between-neighborhood and between-city differences with respect to fear of crime and neighborhood commitment and also explores whether some perceived incivilities are more relevant to these outcomes than others. The data represent a secondary analysis of five ICPSR collections: (1) CHARACTERISTICS OF HIGH AND LOW CRIME NEIGHBORHOODS IN ATLANTA, 1980 (ICPSR 7951), (2) CRIME CHANGES IN BALTIMORE, 1970-1994 (ICPSR 2352), (3) CITIZEN PARTICIPATION AND COMMUNITY CRIME PREVENTION, 1979: CHICAGO METROPOLITAN AREA SURVEY (ICPSR 8086), (4) CRIME, FEAR, AND CONTROL IN NEIGHBORHOOD COMMERCIAL CENTERS: MINNEAPOLIS AND ST. PAUL, 1970-1982 (ICPSR 8167), and (5) TESTING THEORIES OF CRIMINALITY AND VICTIMIZATION IN SEATTLE, 1960-1990 (ICPSR 9741). Part 1, Survey Data, is an individual-level file that contains measures of residents' fear of victimization, avoidance of dangerous places, self-protection, neighborhood satisfaction, perceived incivilities (presence of litter, abandoned buildings, vandalism, and teens congregating), and demographic variables such as sex, age, and education. Part 2, Neighborhood Data, contains crime data and demographic variables from Part 1 aggregated to the neighborhood level, including percentage of the neighborhood that was African-American, gender percentages, average age and educational attainment of residents, average household size and length of residence, and information on home ownership.

These offenses correspond to the Police Report Incidents http://data.seattle.gov/dataset/Seattle-Police-Department-Police-Report-Incident/7ais-f98f

These incidents are based on initial police reports taken by officers when responding to incidents around the city. The information enters our Records Management System (RMS) and is then transmitted out to data.seattle.gov. This information is published within 6 to 12 hours after the report is filed into the system.

These incidents are based on initial police reports taken by officers when responding to incidents around the city. The information enters our Records Management System (RMS) and is then transmitted out to data.seattle.gov. This information is published within 6 to 12 hours after the report is filed into the system.

These incidents are based on initial police reports taken by officers when responding to incidents around the city. The information enters our Records Management System (RMS) and is then transmitted out to data.seattle.gov. This information is published within 6 to 12 hours after the report is filed into the system.