There has been little research on United States homicide rates from a long-term perspective, primarily because there has been no consistent data series on a particular place preceding the Uniform Crime Reports (UCR), which began its first full year in 1931. To fill this research gap, this project created a data series on homicides per capita for New York City that spans two centuries. The goal was to create a site-specific, individual-based data series that could be used to examine major social shifts related to homicide, such as mass immigration, urban growth, war, demographic changes, and changes in laws. Data were also gathered on various other sites, particularly in England, to allow for comparisons on important issues, such as the post-World War II wave of violence. The basic approach to the data collection was to obtain the best possible estimate of annual counts and the most complete information on individual homicides. The annual count data (Parts 1 and 3) were derived from multiple sources, including the Federal Bureau of Investigation's Uniform Crime Reports and Supplementary Homicide Reports, as well as other official counts from the New York City Police Department and the City Inspector in the early 19th century. The data include a combined count of murder and manslaughter because charge bargaining often blurs this legal distinction. The individual-level data (Part 2) were drawn from coroners' indictments held by the New York City Municipal Archives, and from daily newspapers. Duplication was avoided by keeping a record for each victim. The estimation technique known as "capture-recapture" was used to estimate homicides not listed in either source. Part 1 variables include counts of New York City homicides, arrests, and convictions, as well as the homicide rate, race or ethnicity and gender of victims, type of weapon used, and source of data. Part 2 includes the date of the murder, the age, sex, and race of the offender and victim, and whether the case led to an arrest, trial, conviction, execution, or pardon. Part 3 contains annual homicide counts and rates for various comparison sites including Liverpool, London, Kent, Canada, Baltimore, Los Angeles, Seattle, and San Francisco.

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.

This is a breakdown of every arrest effected in NYC by the NYPD during the current year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.

List of every arrest in NYC going back to 2006 through the end of the previous calendar year. This is a breakdown of every arrest effected in NYC by the NYPD going back to 2006 through the end of the previous calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.

This data collection was designed to estimate the extent and variation of individual offending by crime type, race, age, and prior criminal record. Included in this collection are the criminal records of individuals aged 16 years or older who were arrested in the state of New York. Two separate data files are supplied. Part 1 contains data on all adults arrested in New York from 1972 to 1976 for rape, murder, robbery, aggravated assault, or burglary. Part 2 includes data on all adults arrested for larceny or auto theft in Albany and Erie counties. Variables include items such as sex, race, age, number of prior arrests, date and place of arrest, arrest charged, number of multiple counts, court disposition of charges, and type and length of sentence.

Context

This is a breakdown of every arrest effected in NYC by the NYPD going back to 2006 through the end of the previous calendar year.

This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website.

Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement.

In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity.

Content

This was gathered and published by NYC OpenData on data.cityofnewyork.us and obtained through Data.gov.

Inspiration

Given recent events in the USA between police and minorities, I thought it would be useful to make the data accessible to a broader audience to investigate what the data has to say about the topic.

The objectives of this study were (1) to compare long-term patterns of violent crime for mentally disordered patients and for prison inmates, and (2) to evaluate the predictive validity of a diagnosis of schizophrenia for subsequent arrests for violent crimes. For purposes of this data collection, violent crimes were defined as including murder, manslaughter, rape, assault, kidnapping, and sodomy. The study analyzed individual state mental hospital patients and inmates of state prisons in New York State over a 20-year span. In the process of obtaining information regarding the individuals, three different areas were focused on: hospital, incarceration, and arrest histories. Variables for hospital histories include inpatient hospitalizations, admission and discharge dates, legal status for all state hospitals through 1988, primary diagnosis for target and most recent admissions, and placements in New York State Department of Correctional Services mental hospitals. Incarceration history variables include time spent in adult state prisons, incarcerations through 1988, and dates of release (including re-entry to community on parole, outright release, or escape). Arrest histories include information on the subject's first adult arrest through 1988 (only the most serious charge for each incident is recorded) and out-of-state arrests, when available. Demographic variables include age, race, and date of birth.

This study tests the efficacy of an intervention--Safe Public Spaces (SPS) -- focused on improving the safety of public spaces in schools, such as hallways, cafeterias, and stairwells. Twenty-four schools with middle grades in a large urban area were recruited for participation and were pair-matched and then assigned to either treatment or control. The study comprises four components: an implementation evaluation, a cost study, an impact study, and a community crime study. Community-crime-study: The community crime study used the arrest of juveniles from the NYPD (New York Police Department) data. The data can be found at (https://data.cityofnewyork.us/Public-Safety/NYPD-Arrests-Data-Historic-/8h9b-rp9u). Data include all arrest for the juvenile crime during the life of the intervention. The 12 matched schools were identified and geo-mapped using Quantum GIS (QGIS) 3.8 software. Block groups in the 2010 US Census in which the schools reside and neighboring block groups were mapped into micro-areas. This resulted in twelve experimental school blocks and 11 control blocks which the schools reside (two of the control schools existed in the same census block group). Additionally, neighboring blocks using were geo-mapped into 70 experimental and 77 control adjacent block groups (see map). Finally, juvenile arrests were mapped into experimental and control areas. Using the ARIMA time-series method in Stata 15 statistical software package, arrest data were analyzed to compare the change in juvenile arrests in the experimental and control sites. Cost-study: For the cost study, information from the implementing organization (Engaging Schools) was combined with data from phone conversations and follow-up communications with staff in school sites to populate a Resource Cost Model. The Resource Cost Model Excel file will be provided for archiving. This file contains details on the staff time and materials allocated to the intervention, as well as the NYC prices in 2018 US dollars associated with each element. Prices were gathered from multiple sources, including actual NYC DOE data on salaries for position types for which these data were available and district salary schedules for the other staff types. Census data were used to calculate benefits. Impact-evaluation: The impact evaluation was conducted using data from the Research Alliance for New York City Schools. Among the core functions of the Research Alliance is maintaining a unique archive of longitudinal data on NYC schools to support ongoing research. The Research Alliance builds and maintains an archive of longitudinal data about NYC schools. Their agreement with the New York City Department of Education (NYC DOE) outlines the data they receive, the process they use to obtain it, and the security measures to keep it safe. Implementation-study: The implementation study comprises the baseline survey and observation data. Interview transcripts are not archived.

The purpose of the study was to expand understanding of the long-term consequences of juvenile delinquency by describing the prevalence and frequency of two adult outcomes -- arrest and the perpetration of abuse and neglect -- within a gender-diverse sample of known offenders. The researchers also sought to better inform the development and provision of services targeted to delinquent youth in residential care by exploring whether characteristics assessed at intake into care predict adult offending risk. The research team tracked a large sample of delinquent boys and girls released from juvenile correctional facilities/programs in New York State in the early 1990s and used state administrative databases to document their involvement with criminal justice and child protective services in young adulthood. Sample youth were initially drawn from a research database originally created to examine short-term criminal recidivism rates and associated risk factors among known juvenile delinquents (Frederick, 1999). As part of that study, a comprehensive list of adjudicated delinquents discharged from the custody of the New York State (NYS) Division of Youth between January 1, 1991, and December 31, 1994, was generated. The research team selected a stratified, random subsample of 999 youths with case reviews and tracked them forward through time from age 16 to age 28. The Administrative/Case File Review Data (Part 1) contain information on the experiences prior to being admitted into state custody of 999 youths. Specifically, Part 1 includes early risk factors taken from items coded during the initial recidivism study conducted by Frederick (1999). Part 1 also includes information on a youth's childhood experiences with child welfare services collected by the research team as part of this study. Information on a youth's prior receipt of child welfare services was obtained by extracting records from the NYS Child Care Review Service system (CCRS). The Child Protective Services Reports Data (Part 2) contain information on the sampled subjects' involvement with Child Protective Services (CPS) as young adults (ages 16-28). CPS data were collected by conducting person-based searches of CONNECTIONS, the NYS Statewide Automated Child Welfare Information System. For Part 2, adult perpetration of child maltreatment outcome data were collected on a total of 1,543 child protective services (CPS) reports. The Criminal History Data (Part 3) contain information on the sampled subjects' early adult involvement (ages 16-28) with the NYS adult criminal justice system. The research team documented adult crime and perpetration of child abuse and neglect via searches of two independent state administrative databases: (1) the NYS Offender-Based Transaction Statistics Computerized Criminal History (OBTS/CCH) database, which records all New York state-based arrests of individuals age 16 or older from point of arrest through disposition and sentencing; (2) the Department of Correctional Services (DOCS) database, which tracks all New York State prison admissions and discharges. For Part 3, data were collected on a total of 6,627 adult arrest events. Part 1 contains 30 variables detailing information on the study participants, including demographic variables and variables related to offense history, individual functioning, child maltreatment, receipt of child welfare services, and family environment. Part 2 includes 22 variables derived from child protective services (CPS) reports linked to a study participant, including variables relating to the participant's perpetration of child maltreatment, type of alleged maltreatment, investigation outcome, and outcome variables reflecting participants' involvement in various types of maltreatment allegations. Finally, Part 3 of the study contains 147 variables derived from specific adult arrest events associated with the participants, including arrest-specific variables, case outcome variables, and criminal history variables.

Content

Inmate Arrests by fiscal year

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated quarterly.

Acknowledgements

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.

This data collection was designed to assess the effects of the New York Juvenile Offender Law on the rate of violent crime committed by juveniles. The data were collected to estimate the deterrent effects of the law and to permit the use of an interrupted time-series model to gauge the effects of intervention. The deterrent effects of the law are assessed on five types of violent offenses over a post-intervention period of 75 months using two comparison time series to control for temporal and geographical characteristics. One time series pertains to the monthly juvenile arrests of 16- to 19-year-olds in New York City, and the other covers monthly arrests of juveniles aged 13 to 15 years in Philadelphia, Pennsylvania, the control jurisdiction. Included in the collection are variables concerning the monthly rates of violent juvenile arrests for homicide, rape, assault, arson, and robbery for the two juvenile cohorts. These time series data were compiled from records of individual police jurisdictions that reported monthly arrests to the Uniform Crime Reporting Division of the Federal Bureau of Investigation.

Major felonies reflect the count of arrests made in relation to seven major felony offenses within the MTA system. These offenses are classified as murder, rape, robbery, felony assault, burglary, grand larceny, and grand larceny auto.

This study tests the role of violence and policing in predicting student absences at the school level in New York City. It uses a large dataset on daily attendance over six school years (2013–2014–2018–2019) across all New York City public schools, and operationalizes policing by arrests, and violence by reported violent crime. While much literature focuses on the impact of violence on student outcomes, this study finds that arrests are, in fact, a relatively strong predictor of school absences. Perhaps more importantly, nearby arrests have a uniquely strong association in schools with greater numbers of Black students. In high schools, nearby arrests negatively affect school absences, but only in schools with a high proportion of Black or low-income students. Nearby violence has a small association with absences in K-8 schools, but no significant association with absences in high schools. These findings underscore the need to understand policing’s disparate impact on educational outcomes.

The counts of arrests are derived from information transmitted from law enforcement agencies to the Division of Criminal Justice Services Computerized Criminal History database for fingerprintable offenses.An adult arrest is defined as an arrest of a person 16 years old or older or a juvenile offender prosecuted in adult court. Fingerprintable offenses (defined in Criminal Procedure Law ��160.10) include any felony, a misdemeanor defined in the penal law, a misdemeanor defined outside the penal law which would constitute a felony if such a person had a previous judgment of conviction for a crime, or loitering for the purpose of engaging in prostitution as defined in subdivision two of Penal Law ��240.37.

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 examined maternal and youth self-reports of arrests and convictions with official records of crime among participants in three randomized controlled trials of the Nurse-Family Partnership (NFP) in Denver, Colorado, Elmira, New York, and Memphis, Tennessee. Official records were obtained from third-party sources as well as directly from New York State Division of Criminal Justice Services. The collection contains 10 SAS data files: dmom_all.sas7bdat (n=735; 3 variables) dmom_control.sas7bdat (n=247; 26 variables) echild_all.sas7bdat (n=374; 4 variables) echild_control.sas7bdat (n=173; 22 variables) emom_all.sas7bdat (n=399; 4 variables) emom_control.sas7bdat (n=184; 17 variables) mchild_all.sas7bdat (n=708; 5 variables) mchild_control.sas7bdat (n=482; 46 variables) mmom_all.sas7bdat (n=742; 5 variables) mmom_control.sas7bdat (n=514; 25 variables) Demographic variables include race, ethnicity, highest grade completed, household income, marital status, housing density, maternal age, maternal education, husband/boyfriend education, and head of household employment status.

This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) from 2006 to the end of last year (2015). For additional details, please see the attached data dictionary in the ‘About’ section.

This is a breakdown of every arrest effected in NYC by the NYPD during the current year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.

List of every criminal summons issued in NYC during the current calendar year.

This is a breakdown of every criminal summons issued in NYC by the NYPD during the current calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents a criminal summons issued in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.