This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2017). For additional details, please see the attached data dictionary in the ‘About’ section.

The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs' departments. DCJS compiles these reports as New York's official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

In 2023, the City of New York experienced a total of 1,455 rapes. This was a significant decrease from 2001 when 1,981 rapes were reported. These figures include all crimes as defined in the FBI Uniform Crime Reporting definition of rape.

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.The study examined four research questions: (1) Was the Red Hook Community Justice Center (RHCJC) implemented according to plan?; (2) Did RHCJC make a difference in sanctioning, recidivism, and arrests?; (3) How did RHCJC produce any observed reductions to recidivism and arrests?; and (4) Is RHCJC cost-efficient from the viewpoint of taxpayers? The community survey (Red Hook Resident Data, n = 95) was administered by research teams in the spring and summer of 2010. Teams generally went house-to-house ringing apartment buzzers at varying times of day, usually on the weekend when working people are more likely to be home or approached people on the sitting on park benches to conduct interviews.In autumn 2010, the research team administered a survey to 200 misdemeanor offenders (Red Hook Offender Data, n = 205) who were recruited from within the catchment area of the Red Hook Community Justice Center (RHCJC) using Respondent Driven Sampling (RDS).To examine how the RHCJC was implemented (Red Hook Process Evaluation Data, n= 35,465 and Red Hook Work File Data, n= 3,127), the research team relied on a diverse range of data sources, including 52 structured group and individual interviews with court staff and stakeholders carried out over five site visits; observation of courtroom activities and staff meetings; extensive document review; and analysis of case-level data including all adult criminal cases and some juvenile delinquency cases processed at the Justice Center from 2000 through 2009. To aid in understanding the RHCJC's impact on the overall level of crime in the catchment area, researchers obtained monthly counts (Arrest Data, n = 144) of felony and misdemeanor arrests in each of the three catchment area police precincts (the 72nd, 76th, and 78th precincts).

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. This study contains data from a project by the New York City Police Department (NYPD) involving GIS data on environmental risk factors that correlate with criminal behavior. The general goal of this project was to test whether risk terrain modeling (RTM) could accurately and effectively predict different crime types occurring across New York City. The ultimate aim was to build an enforcement prediction model to test strategies for effectiveness before deploying resources. Three separate phases were completed to assess the effectiveness and applicability of RTM to New York City and the NYPD. A total of four boroughs (Manhattan, Brooklyn, the Bronx, Queens), four patrol boroughs (Brooklyn North, Brooklyn South, Queens North, Queens South), and four precincts (24th, 44th, 73rd, 110th) were examined in 6-month time periods between 2014 and 2015. Across each time period, a total of three different crime types were analyzed: street robberies, felony assaults, and shootings. The study includes three shapefiles relating to New York City Boundaries, four shapefiles relating to criminal offenses, and 40 shapefiles relating to risk factors.