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TwitterViolent Part 1 crime statistics by 1990 census tract.
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TwitterThis dataset was created by Hannah (Wendan) Wu
Released under Other (specified in description)
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TwitterThe 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.
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More details about each file are in the individual file descriptions.
This is a dataset hosted by the City of Seattle. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore the City of Seattle using Kaggle and all of the data sources available through the City of Seattle organization page!
This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.
Cover photo by Nitish Meena on Unsplash
Unsplash Images are distributed under a unique Unsplash License.
This dataset is distributed under the following licenses: Creative Commons 1.0 Universal (Public Domain Dedication), Public Domain
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TwitterThis dataset is all the Police responses to 9-1-1 calls within the city. Police response data shows all officers dispatched. To protect the security of a scene, the safety of officers and the public, and sensitive ongoing investigation, these events are added to the data.seattle.gov only after the incident is considered safe to close out. Data is refreshed on a 4 hour interval.
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This file contains approximately 481,000 crime reports from Seattle, WA covering a span of approximately 10 years. For each crime offense this file includes date and time information, crime categories and description, police department information including sector, beat, and precinct, and neighborhood name.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
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.
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This dataset aggregates Seattle Police Department crime statistics with spatial ZIP code boundaries and US Census data to determine the property crime rate per 1,000 residents. The following sources were used to create this dataset:
Source: https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::zip-codes/explore
King County provides approximate ZIP code boundaries, updated quarterly and published by the city of Seattle.
Source: https://data.seattle.gov/Public-Safety/SPD-Crime-Data-2008-Present/tazs-3rd5
The Seattle Police Department publishes data for reported crimes from 2008 to the present, refreshed daily. This data includes whether the crime is classified as against a person, against property, or against society.
The US Census Department American Community Survey (ACS) publishes 5-year estimates of population by a variety of geographies, including ZIP Code Tabulation Areas (ZCTAs), geographic approximations of each ZIP code.
Using the pandas and geopandas libraries within python, the following processing steps were followed to prepare this dataset: - Converted the date and time reported field in the SPD dataset to a datetime object and extracted the year - Filtered to crimes reported between 2008 and 2021 - Filtered to only crimes against property - Dropped rows with null values for year, crime against category, longitude, or latitude - Performed a spatial join using the latitude and longitude for each report in the SPD data to append a ZIP code from the King County ZIP Code boundary shapefile - Summarized to calculate a count of property crimes reported for each combination of year and ZIP code - Summarized by ZIP code to calculate the count of years with at least one crime reported and the total number of property crimes reported - Calculated the average number of property crimes reported per year in each ZIP code - Merged with the ACS population estimates - Calculated the number of property crimes reported per year per 1,000 population for each zip code
Photo by Justus Hayes: https://www.pexels.com/photo/a-bicycle-chained-to-a-metal-post-6355944/
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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.
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License information was derived automatically
FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Seattle Police Department (City) in Washington, including incidents, statistics, demographics, and detailed incident information.
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TwitterSeattle 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
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● This dataset was provided by: Seattle Police Department ● Dataset category: Public Safety ● Dataset created date: February 14, 2020
This data has been taken from Seattle city's official website
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Port of Seattle (Other) in Washington, including incidents, statistics, demographics, and detailed incident information.
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TwitterIn 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.
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FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Seattle-Tacoma-Bellevue, WA Metropolitan Statistical Area (MSA), including incidents, statistics, demographics, and agency information across multiple jurisdictions.
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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.
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TwitterAll recorded police reports as taken from https://data.seattle.gov/Public-Safety/Seattle-Police-Department-Police-Report-Incident/7ais-f98f
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This dataset records police responses to 911 calls in the city of Seattle.
This dataset was kindly made available by the City of Seattle. They update the data daily; you can find the original version here.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Snohomish County, WA (DISCONTINUED) (FBITC053061) from 2005 to 2021 about Snohomish County, WA; crime; violent crime; property crime; Seattle; WA; and USA.
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TwitterThe 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
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TwitterViolent Part 1 crime statistics by 1990 census tract.