These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed. This study was a systematic assessment of the impacts of foreclosures and crime levels on each other, using sophisticated spatial analysis methods, informed by qualitative research on the topic. Using data on foreclosures and crime in District of Columbia and Miami-Dade County, Florida from 2003 to 2011, this study considered the effects of the two phenomena on each other through a dynamic systems approach.

description: This data includes annual data on murder and non-negligent manslaughter, violent crime rates per 100,000 population, and property crime rates per 100,000 for New Orleans and the bench mark cities of Atlanta, Nashville, Oklahoma City, Tampa, Miami, Memphis, Raleigh, and Baton Rouge.; abstract: This data includes annual data on murder and non-negligent manslaughter, violent crime rates per 100,000 population, and property crime rates per 100,000 for New Orleans and the bench mark cities of Atlanta, Nashville, Oklahoma City, Tampa, Miami, Memphis, Raleigh, and Baton Rouge.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, OH (DISCONTINUED) (FBITC039109) from 2005 to 2021 about Miami County, OH; Dayton; crime; violent crime; property crime; OH; and USA.

The goal of this study is to enhance public safety and community well-being through effective identification, investigation, and prosecution of anti-LGBTQ hate crimes in Miami. The investigators examined victimization experiences, victim and offender characteristics, crime reporting outcomes, victimization consequences, case processing, as well as the criminal justice system's challenges and opportunities for reform. The project focuses on the hate crime victimization within Miami's Latine community.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL was 33003.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL reached a record high of 64027.00000 in January of 2004 and a record low of 33003.00000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami-Dade County, FL - last updated from the United States Federal Reserve on June of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, IN was 93.00000 Known Incidents in January of 2020, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, IN reached a record high of 270.00000 in January of 2009 and a record low of 93.00000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, IN - last updated from the United States Federal Reserve on July of 2025.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, OH was 340.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, OH reached a record high of 683.00000 in January of 2011 and a record low of 318.00000 in January of 2019. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, OH - last updated from the United States Federal Reserve on July of 2025.

Financial overview and grant giving statistics of Crime Stoppers of Miami-Dade County Inc.

Does the rate of violent victimization differ across race and ethnic groups? In an effort to answer this question, this study sought to examine the violent victimization rate and the factors influencing ethnic-specific rates of violence in the city of Miami. Administrative data were obtained from the United States Bureau of the Census and the Miami Police Department Research Unit. For the groups of people identified as Afro Americans, Latinos, and Haitians, the numbers who were victims of aggravated assault and robbery in 1997 are included along with the assault and robbery rates for each group. The remaining variables are the percent of female-headed households, percent below poverty line, percent of young males out of the labor force and unemployed, residential instability, vacant and household instability, and the percent of 1980-1990 immigrants.

Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Palm Beach County, FL (DISCONTINUED) (FBITC012099) from 2004 to 2020 about Palm Beach County, FL; crime; violent crime; property crime; Miami; FL; and USA.

Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, KS was 155.00000 Known Incidents in January of 2021, according to the United States Federal Reserve. Historically, Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, KS reached a record high of 277.00000 in January of 2004 and a record low of 155.00000 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for Combined Violent and Property Crime Offenses Known to Law Enforcement in Miami County, KS - last updated from the United States Federal Reserve on July of 2025.

California reported the largest number of homicides to the FBI in 2023, at 1,929 for the year. Texas recorded the second-highest number of murders, with 1,845 for the year. Homicide victim demographics There were a total of 19,252 reported homicide cases in the U.S. in 2023. When looking at murder victims by gender and ethnicity, the vast majority were male, while just over half of the victims were Black or African American. In addition, homicide victims in the United States were found most likely to be between the ages of 20 and 34 years old, with the majority of victims aged between 17 to 54 years old. Are murders up? In short, no – since the 1990s the number of murders in the U.S. has decreased significantly. In 1990, the murder rate per 100,000 people stood at 9.4, and stood at 5.7 in 2023. It should be noted though that the number of homicides increased slightly from 2014 to 2017, although figures declined again in 2018 and 2019, before ticking up once more in 2020 and 2021. Despite this decline, when viewed in international comparison, the U.S. murder rate is still notably high. For example, the Canadian homicide rate stood at 1.94 in 2023, while the homicide rate in England and Wales was even lower.

These data are part of NACJD's Fast Track Release and are distributed as they there received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except of the removal of direct identifiers. Users should refer to the accompany readme file for a brief description of the files available with this collections and consult the investigator(s) if further information is needed.This collection includes data gathered through three separate study designs. The first study called for tracking cases and forensic evidence through local criminal justice processes for five offenses: homicide, sexual assault, aggravated assault, robbery and burglary. Two sites, Denver, Colorado, and San Diego, California, participated in the study. Demographic data were collected on victims (Victim Data n = 7,583) and defendants (Defendant Data n = 2,318). Data on forensic evidence collected at crime scenes included DNA material (DNA Evidence Data n = 1,894), firearms evidence (Ballistics Evidence Data n = 488), latent prints (Latent Print Evidence Data n = 766), trace evidence (Other Impressions Evidence Data n = 49), and drug evidence (Drug Evidence Data n = 43). Comparisons were then made between open and closed cases from the participating sites. Two smaller studies were conducted as part of this grant. The second study was an analysis of an experiment in the Miami-Date, Florida Police Department (Miami-Data County Data n = 1,421) to determine whether clearance rates for no-suspect property crimes could be improved through faster processing of DNA evidence. The third study was a survey of 75 police departments across the nation (Crime Labs Survey Data) to obtain information on the organizational placement, staffing and responsibilities of crime lab units.

This data collection effort was designed to assess the effects of different types of supervised pretrial release (SPR). Four major types of effects were examined: (1) defendants' behaviors while awaiting trial (failure to appear and arrests for new offenses), (2) the costs of SPR to victims and the criminal justice system, (3) pretrial release practices, and (4) jail populations. This study provides detailed information for a selected group of defendants awaiting trial on criminal histories and arrests while awaiting trial. Data are also available on services provided between arrest and disposition. The study produced four different data sets. The first, Supervised Release Information System (SRIS), contains intake information on current arrest, criminal record, socio-economic status, ties with the community, contact with mental health and substance abuse facilities, and pretrial release decisions. The release section of this data base contains information on services provided, intensity of supervision, termination from program, personal characteristics at termination, criminal charges at disposition, and new charges resulting from arrests while under pretrial status. The Arrest Data Set includes variables on type and number of crimes committed by SPR defendants, property costs to victims, personal injury costs, and court disposition for each offense. The Retrospective Data Set supplies variables on charges filed and method of release, personal characteristics, length of pretrial incarceration, bail, whether the defendant was rebooked during the pretrial period, charge at disposition, sentence, total court appearances, and total failures to appear in court (FTAs). The Jail Population Data Set contains monthly counts of jail population and average daily population.

The purpose of this data collection was to measure the validity or accuracy of four recidivism prediction instruments: the INSLAW, RAND, SFS81, and CGR scales. These scales estimate the probability that criminals will commit subsequent crimes quickly, that individuals will commit crime frequently, that inmates who are eligible for release on parole will commit subsequent crimes, and that defendants awaiting trial will commit crimes while on pretrial arrest or detention. The investigators used longitudinal data from five existing independent studies to assess the validity of the four predictive measures in question. The first data file was originally collected by the Vera Institute of Justice in New York City and was derived from an experimental evaluation of a jobs training program called the Alternative Youth Employment Strategies Project implemented in Albuquerque, New Mexico, Miami, Florida, and New York City, New York. The second file contains data from a RAND Corporation study, EFFECTS OF PRISON VERSUS PROBATION IN CALIFORNIA, 1980-1982 (ICPSR 8700), from offenders in Alameda and Los Angeles counties, California. Parts 3 through 5 pertain to serious juvenile offenders who were incarcerated during the 1960s and 1970s in three institutions of the California Youth Authority. A portion of the original data for these parts was taken from EARLY IDENTIFICATION OF THE CHRONIC OFFENDER, 1978-1980: CALIFORNIA. All files present demographic and socioeconomic variables such as birth information, race and ethnicity, education background, work and military experience, and criminal history, including involvement in criminal activities, drug addiction, and incarceration episodes. From the variables in each data file, standard variables across all data files were constructed. Constructed variables included those on background (such as drug use, arrest, conviction, employment, and education history), which were used to construct the four predictive scales, and follow-up variables concerning arrest and incarceration history. Scores on the four predictive scales were estimated.