Age-adjusted death rate of residents due to homicide, New Jersey.

Rate: Number of homicides per 100,000 persons (age-adjusted).

Definition: Deaths where homicide is indicated as the underlying cause of death. Homicide is defined as death resulting from the intentional use of force or power, threatened or actual, against another person, group, or community. ICD-10 Codes: X85-Y09, Y87.1 (homicide)

Data Sources:

(1) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health http://www.state.nj.us/health/chs/

(2) National Center for Health Statistics and U.S. Census Bureau. Vintage 2009 bridged-rate postcensal population estimates http://www.cdc.gov/nchs/nvss/bridged_race.htm as of July 23, 2010

(3) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

In this web map created I wanted to focus on the state of New Jersey since 2 of its cities are very high in crime in the United States. Camden and Trenton in Particular are the highest crime rates in New Jersey. I was able to create this web map by showing the police departments in the most dangerous parts of the cities which is shown by the darker the red gets the more dangerous it gets in these parts of the state

The Detection of Crime, Resource Deployment, and Predictors of Success: A Multi-Level Analysis of Closed-Circuit Television (CCTV) in Newark, NJ collection represents the findings of a multi-level analysis of the Newark, New Jersey Police Department's video surveillance system. This collection contains multiple quantitative data files (Datasets 1-14) as well as spatial data files (Dataset 15 and Dataset 16). The overall project was separated into three components:

• Component 1 (Dataset 1, Individual CCTV Detections and Calls-For-Service Data and Dataset 2, Weekly CCTV Detections in Newark Data) evaluates CCTV's ability to increase the "certainty of punishment" in target areas;
• Component 2 (Dataset 3, Overall Crime Incidents Data; Dataset 4, Auto Theft Incidents Data; Dataset 5, Property Crime Incidents Data; Dataset 6, Robbery Incidents Data; Dataset 7, Theft From Auto Incidents Data; Dataset 8, Violent Crime Incidents Data; Dataset 9, Attributes of CCTV Catchment Zones Data; Dataset 10, Attributes of CCTV Camera Viewsheds Data; and Dataset 15, Impact of Micro-Level Features Spatial Data) analyzes the context under which CCTV cameras best deter crime. Micro-level factors were grouped into five categories: environmental features, line-of-sight, camera design and enforcement activity (including both crime and arrests); and
• Component 3 (Dataset 11, Calls-for-service Occurring Within CCTV Scheme Catchment Zones During the Experimental Period Data; Dataset 12, Calls-for-service Occurring Within CCTV Schemes During the Experimental Period Data; Dataset 13, Targeted Surveillances Conducted by the Experimental Operators Data; Dataset 14, Weekly Surveillance Activity Data; and Dataset 16, Randomized Controlled Trial Spatial Data) was a randomized, controlled trial measuring the effects of coupling proactive CCTV monitoring with directed patrol units.

Over 40 separate four-hour tours of duty, an additional camera operator was funded to monitor specific CCTV cameras in Newark. Two patrol units were dedicated solely to the operators and were tasked with exclusively responding to incidents of concern detected on the experimental cameras. Variables included throughout the datasets include police report and incident dates, crime type, disposition code, number of each type of incident that occurred in a viewshed precinct, number of CCTV detections that resulted in any police enforcement, and number of schools, retail stores, bars and public transit within the catchment zone.

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. Researchers compiled datasets on prison admissions and releases that would be comparable across places and geocoded and mapped those data onto crime rates across those same places. The data used were panel data. The data were quarterly or annual data, depending on the location, from a mix of urban (Boston, Newark and Trenton) and rural communities in New Jersey covering various years between 2000 and 2010. The crime, release, and admission data were individual level data that were then aggregated from the individual incident level to the census tract level by quarter (in Boston and Newark) or year (in Trenton). The analyses centered on the effects of rates of prison removals and returns on rates of crime in communities (defined as census tracts) in the cities of Boston, Massachusetts, Newark, New Jersey, and Trenton, New Jersey, and across rural municipalities in New Jersey. There are 4 Stata data files. The Boston data file has 6,862 cases, and 44 variables. The Newark data file has 1,440 cases, and 45 variables. The Trenton data file has 66 cases, and 32 variables. The New Jersey Rural data file has 1,170 cases, and 32 variables.

This study attempted to measure spatial displacement or diffusion of crime to areas near the targeted sites of police intervention. Data were drawn from a controlled study of displacement and diffusion in Jersey City, New Jersey. Two sites with substantial street-level crime and disorder were targeted and carefully monitored during an experimental period. Two neighboring areas were selected as "catchment areas" from which to assess immediate spatial displacement or diffusion. Intensive police interventions were applied to each target site but not to the catchment areas. More than 6,000 20-minute social observations were conducted in the target and catchment areas. Physical observations of the areas were conducted before, during, and after the interventions as well. These data were supplemented by interviews with local residents and ethnographic field observations.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for New Jersey Transit Police (Other State Agency) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Rutgers University: Newark (University or College) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Mendham Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Saddle River Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Waldwick Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

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. The main aim of this research is to study the criminal mobility of ethnic-based organized crime groups. The project examines whether organized crime groups are able to move abroad easily and to reproduce their territorial control in a foreign country, or whether these groups, and/or individual members, start a life of crime only after their arrival in the new territories, potentially as a result of social exclusion, economic strain, culture conflict and labeling. More specifically, the aim is to examine the criminal mobility of ethnic Albanian organized crime groups involved in a range of criminal markets and operating in and around New York City, area and to study the relevance of the importation/alien conspiracy model versus the deprivation model of organized crime in relation to Albanian organized crime. There are several analytical dimensions in this study: (1) reasons for going abroad; (2) the nature of the presence abroad; (3) level of support from ethnic constituencies in the new territories; (4) importance of cultural codes; (5) organizational structure; (6) selection of criminal activities; (7) economic incentives and political infiltration. This study utilizes a mixed-methods approach with a sequential exploratory design, in which qualitative data and documents are collected and analyzed first, followed by quantitative data. Demographic variables in this collection include age, gender, birth place, immigration status, nationality, ethnicity, education, religion, and employment status. Two main data sources were employed: (1) court documents, including indictments and court transcripts related to select organized crime cases (84 court documents on 29 groups, 254 offenders); (2) in-depth, face-to-face interviews with 9 ethnic Albanian offenders currently serving prison sentences in U.S. Federal Prisons for organized crime related activities, and with 79 adult ethnic Albanian immigrants in New York, including common people, undocumented migrants, offenders, and people with good knowledge of Albanian organized crime modus operandi. Sampling for these data were conducted in five phases, the first of which involved researchers examining court documents and identifying members of 29 major ethnic Albanian organized crime groups operating in the New York area between 1975 and 2013 who were or had served sentences in the U.S. Federal Prisons for organized crime related activities. In phase two researchers conducted eight in-depth interviews with law enforcement experts working in New York or New Jersey. Phase three involved interviews with members of the Albanian diaspora and filed observations from an ethnographic study. Researchers utilized snowball and respondent driven (RDS) recruitment methods to create the sample for the diaspora dataset. The self-reported criteria for recruitment to participate in the diaspora interviews were: (1) age 18 or over; (2) of ethnic Albanian origin (foreign-born or 1st/2nd generation); and (3) living in NYC area for at least 1 year. They also visited neighborhoods identified as high concentrations of ethnic Albanian individuals and conducted an ethnographic study to locate the target population. In phase four, data for the cultural advisors able to help with the project data was collected. In the fifth and final phase, researchers gathered data for the second wave of the diaspora data, and conducted interviews with offenders with ethnic Albanian immigrants with knowledge of the organized crime situation in New York City area. Researchers also approached about twenty organized crime figures currently serving a prison sentence, and were able to conduct 9 in-depth interviews.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for South River Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Park Police: Union County (Other) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Haddon Heights Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Wildwood Crest Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Jersey City Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Northvale Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Millville Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Oaklyn Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.

FBI National Incident-Based Reporting System (FBI NIBRS) crime data for Cape May Police Department (City) in New Jersey, including incidents, statistics, demographics, and detailed incident information.