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ItemState Incident-Based Reporting System Bulletin - June 2015(Oklahoma Statistical Analysis Center, Oklahoma State Bureau of Investigation, 1/1/2015) ItemState Incident-Based Reporting System Bulletin, June 2014(Oklahoma Statistical Analysis Center, Oklahoma State Bureau of Investigation, 1/1/2015) ItemSourcebook of Criminal Justice Statistics in the Commonwealth, 2012(Kentucky Criminal Justice Statistical Analysis Center, 1/1/2015) ItemValue of Stolen Property Reported in Alaska, 1985-2016(Alaska Justice Information Center, University of Alaska Anchorage, 1/1/2018) Reamey, R.This fact sheet presents data on the value of stolen property reported by Alaska law enforcement agencies and it was obtained from the Alaska Department of Public Safety's annual report Crime in Alaska for the years 1985 through 2016. Crime in Alaska represents the State of Alaska's contribution to the Federal Bureau of Investigation's national Uniform Crime Reporting (UCR) program. The UCR program collects data from law enforcement agencies across the United States. ItemAddressing Data Quality in Ohio's Incident-Based Reporting System: Application of Akiyama and Propheter (2005) Outlier Detection Methods(Ohio Department of Public Safety, Office of Criminal Justice Services, 1/1/2019) Nicholson, Kristina; Wedd, Alan; Patridge, CharlesCrime data are collected nationally through the Federal Bureau of Investigation's Uniform Crime Reporting Systems and the National Incident-Based Reporting System. Law enforcement agencies in Ohio have submitted crime data to the federal system since 1989 through the Ohio Incident-Based Reporting System (OIBRS). These crime data form the basis for crime reports and crime mapping that ultimately inform policy and practice throughout the state. Given the importance of crime data, continuous data quality and improvement is a high priority. While federal and state systems implement logical checks on the data submitted by law enforcement agencies, only the federal system have automated checks in place to determine the reasonableness of the data submitted by local agencies. At the local level, the onus of these checks is put on the data systems coordinator through manual inspections. This project moves to fill this gap by applying Akiyama and Propheter's (2005) federally-used outlier detection methods to Ohio's incident-based data. Additionally, the project expanded beyond Akiyama and Propheter (2005) by adapting methods to account for critical cut points that limit the number of agencies identified as outliers. This report summarizes the methods applied to Ohio's 2014 and 2015 OIBRS data and discusses the next steps in automating the implementation of additional data quality checks at the state-level. ItemCrime in North Dakota, 2018(North Dakota Bureau of Criminal Investigation, Office of the Attorney General, 1/1/2019) Weltz, ColleenThe North Dakota Incident-Based Reporting (IBR) program involves the collection, compilation, and analysis of crime and arrest statistics reported by the various local law enforcement agencies throughout the state. A total of 53 sheriff departments, 52 police departments, 10 Task Forces and the ND Highway Patrol reported to the ND IBR program in 2018. The 2018 Crime in North Dakota is based solely upon incident data. Data submitted by ND IBR to the FBI is converted from incident-based statistics to the summary system of reporting. In the FBI data, only the most serious of the eight Index crimes are reported. The number of victims is counted in the most serious offenses of homicide, assault, kidnapping, or rape. ItemCrime in Hawaii 2017(Crime Prevention and Justice Assistance Division, Hawaii Department of the Attorney General, 1/1/2019) Seumanu Fuatagavi, Lydia; Perrone, PaulThe statistics presented in this report were collected and compiled using the FBI's Hierarchy Rule that limits crime counts to only the most serious offense committed within an incident that is constrained by time and place, and limits arrest counts to only the most serious charge per booking. In 2017, a total of 43,969 Index Crimes were reported in the State of Hawaii, yielding a rate of 3,080 offenses per 100,000 resident population, the lowest on record since statewide data collection began in 1975. The total Index Crime rate in 2017 was 3.9% below the rate reported in 2016, and 19.8% below the rate reported a decade earlier (2008). ItemAn Analysis of Intimate Partner Murders in Oklahoma: Using State Incident-Based Data(Oklahoma Statistical Analysis Center, Oklahoma State Bureau of Investigation, 1/1/2019) Miller, KaraThe Center for Disease Control and Prevention defines an intimate partner as a person with whom one has a close personal relationship that includes an emotional connectedness and an ongoing physical relationship. The Oklahoma Statistical Analysis Center (SAC) analyzed the number of intimate partner murders (IPMs) that were reported by Oklahoma law enforcement from 2011-2016. The SAC conducted both qualitative and quantitative analyses of utilizing the State Incident-Based Reporting System (SIBRS) reports. Researchers also assessed the quality of the SIBRS reports and developed recommendations to improve data quality. For this research, the following relationships were included for the study: spouses; common-law spouses; boyfriend or girlfriend; dating relationships; or former spouses. ItemAggravated Assault in Florida: A brief analysis of Aggravated Assault Trends from 2007 to 2017(Florida Statistical Analysis Center, 1/1/2019)The following data comes from the Florida Department of Law Enforcement's Uniform Crime Report (UCR) system; the system provides standardized annual and semi-annual reports on crime statistics based on data gathered from across the state. The crimes recorded by UCR are classified as Index Crimes which includes crimes against persons. Persons offenses include: Homicide, Negligent Manslaughter, Rape (includes Forcible Sodomy), Fondling, Aggravated Assault, Aggravated Stalking, Simple Assault, Threat/Intimidation, or Simple Stalking. Aggravated Assault is the unlawful attack by one person upon another where either the offender displays a weapon or the victim suffers obvious severe or aggravated bodily injury involving apparent broken bones, loss of teeth, possible internal injury, severe laceration, or loss of consciousness. ItemHuman Trafficking and Related Offenses(Ohio Department of Public Safety, Office of Criminal Justice Services, 1/1/2019) Nicholson, KristinaHouse Bill 262 in 2012 mandates training for law enforcement officers on indicators, legislation and best practices for investigating human trafficking. Not only does this training include sex and labor trafficking, but it also discusses the connection of human trafficking to prostitution and related offenses such as solicitation. The current project examined law enforcement data from the Ohio Incident-Based Reporting System, including human trafficking as well as prostitution-related offenses from 2012-2016. This report summarizes key findings and discusses the implications and recommendations for future research on human trafficking and related offenses using data from the Ohio Incident-Based Reporting System. ItemCrime in North Dakota, 2019(North Dakota Bureau of Criminal Investigation, Office of the Attorney General, 1/1/2020) Weltz, ColleenThe North Dakota Incident-Based Reporting (ND IBR) program involves the collection, compilation, and analysis of crime and arrest statistics reported by the various local law enforcement agencies throughout the state. In 2019 fifty-three sheriff departments, 52 police departments, 10 Task Forces, and the ND Highway Patrol submitted data to the ND IBR program. This release of Crime in North Dakota is based solely upon incident data. Since data submitted to the FBI must first be converted to the summary -level data., we strongly discourage comparing ND IBR data to any previously UCR Summary data released by North Dakota or the FBI in the Crime in the United States publications. ItemSourcebook of Criminal Justice Statistics in the Commonwealth, 2010(Kentucky Criminal Justice Statistical Analysis Center, 10/1/2015) ItemSummary: Report on the C.L.E.A.R. Act: Community Law Enforcement Action Reporting Act(Office of Research and Statistics, Colorado Division of Criminal Justice, 10/1/2017) English, Kim; Flick, Peg; Lucero, LaurenceIn 2015, the General Assembly passed Senate Bill 185, the Community Law Enforcement Action Reporting Act, or the CLEAR Act. The CLEAR Act mandates that the Division of Criminal Justice (DCJ) annually analyze and report data provided by law enforcement agencies,3 the Judicial Department, and the adult Parole Board, to reflect decisions made at multiple points in the justice system process. The CLEAR Act requires that the data be analyzed by race/ethnicity and gender. This study presents information for calendar year 2016. ItemSUMMARY: Report on the C.L.E.A.R. Act Community Law Enforcement Action Reporting Act Pursuant to Senate Bill 2015-185(Office of Research and Statistics, Colorado Division of Criminal Justice, 10/1/2020) English, K; Flick, P; Lucero, LThis report summarizes 2019 information on Senate Bill 185, the Community Law Enforcement Action Reporting Act, or the CLEAR Act. The CLEAR Act mandates that the Division of Criminal Justice annually analyze, and report data reported by law enforcement agencies, the Judicial Department, and the Adult Parole Board to document decisions made at multiple points in the justice system process. The data is analyzed by race/ethnicity and gender, with offense types collapsed into four broad groups: drugs, other, property, and violent crimes. It is important to note that the analysis of race and ethnicity across justice decision points is significantly hampered by the lack of ethnicity information in the statewide court data system. Specifically, the Judicial Branch's ICON data system does not distinguish between race and ethnicity ItemAn Analysis of Robbery in Oklahoma Using Incident-Based Reporting Data (SIBRS)(Oklahoma Statistical Analysis Center, Oklahoma State Bureau of Investigation, 10/24/2019)The Oklahoma Statistical Analysis Center (SAC) is co-located with the state's criminal history repository, the state's Uniform Crime Reporting (UCR) Program, and the State Incident-Based Reporting (SIBRS) Program. The purpose of this study is to increase access to and understanding of the National Incident-Based Reporting System (NIBRS) enhanced data. By analyzing NIBRS compatible data, the SAC aims to demonstrate the value of SIBRS data to local agencies and government planners, as well as its utility for problem-solving and understanding crimes reported in Oklahoma. The SAC and the Oklahoma State Bureau of Investigation (OSBI) hope to demonstrate the value and utility of SIBRS data to encourage all local law enforcement agencies (LEAs) in Oklahoma to commit to SIBRS reporting and to report quality data. While the number of robberies reported varied monthly, there was an increase in reports between January and August. The number of reported robberies then fluctuated significantly between August and November. During this period, reported robberies: decreased 41.0% from August to September, increased 95.7% from September to October, and then decreased 42.2% from October to November. The majority, 60.9% of robbery victims reported that they did not know the offender. 33.9% of robberies occurred at a residence, with 40.5% of residential robberies occurring between the hours of 9:00 PM and 3;00 AM. Money was the most reported property type stolen (26.3%). However, automobiles which accounted for only 3.9% of the types of property stolen, accounted for 38.8% of the total value of the stolen property. ItemCrime in New York State: 2013 Final Data(New York State Division of Criminal Justice Services, Office of Justice Research and Performance, 11/1/2014)This report and the attached appendices provide the most recent information available on the number of Index crimes and rates per 100,000 population for each county in New York State. County population data are provided every year by the FBI based on U.S. Census estimates and are used to calculate crime rates. Crime counts are based on official crime reports submitted to the Division of Criminal Justice Services (DCJS) through the Uniform Crime Reporting (UCR) and Incident Based Reporting (IBR) programs. Index crimes include the violent crimes of murder, forcible rape, robbery and aggravated assault, and the property crimes of burglary, larceny and motor vehicle theft. The summary includes information on crimes reported in New York State for the last 10 years. Item2013 Annual Performance Report for the New York State Division of Criminal Justice Services(New York State Division of Criminal Justice Services, Office of Justice Research and Performance, 11/1/2014)This annual report provides information on the performance of the New York State Division of Criminal Justice Services (DCJS) as required by Executive Law Â§Â§837(4)(a) and 837(12). DCJS' mission is to enhance public safety and improve criminal justice. DCJS has a variety of core functions and responsibilities that support law enforcement, criminal justice professionals and crime victim advocates across New York State. The agency administers and manages criminal justice grant funds; oversees a law enforcement accreditation program; maintains criminal history records and civil, criminal and crime scene fingerprint files; performs background checks for employment and licensure; oversees the state's DNA Databank in cooperation with the New York State Police Forensic Investigation Center; monitors the state's forensic laboratories for quality assurance and compliance with state and federal standards; administers the state's Sex Offender Registry; and ensures Breathalyzer and speed enforcement equipment used by local law enforcement operate correctly. The agency provides direct training to law enforcement and other criminal justice professionals; oversees county probation departments, alternatives to incarceration programs and the interstate transfer of probationers; collects and analyzes statewide crime and program data; and provides statistical information to the public and local law enforcement. ItemSummary: Report on the C.L.E.A.R. Act: Community Law Enforcement Action Reporting Act(Office of Research and Statistics, Colorado Division of Criminal Justice, 11/1/2018) English, Kim; Flick, Peg; Lucero, LaurenceIn 2015, the General Assembly passed Senate Bill 185, the Community Law Enforcement Action Reporting Act, or the CLEAR Act. The CLEAR Act mandates that the Division of Criminal Justice (DCJ) annually analyze and report data provided by law enforcement agencies, the Judicial Department, and the Adult Parole Board, to reflect decisions made at multiple points in the justice system process. The CLEAR Act requires that the data be analyzed by race/ethnicity and gender. This study presents information for calendar year 2017.