2016 uniform crime report - new jersey state police · 2018-06-20 · system by every new jersey...

C R I M Ein New Jersey

2016

UNIFORMCRIMEREPORTState of New Jersey2016

Honorable Gurbir S. GrewalAttorney General

State of New Jersey

Colonel Patrick J. Callahan Acting Superintendent

New Jersey State Police

Major Brandon GrayCommanding Officer

Identification & Information Technology SectionNew Jersey State Police

Chief William ParentiNorth Plainfield Police Department

PresidentNew Jersey Association of Chiefs of Police

Prepared and Issued by:State of New Jersey, Division of State PoliceUniform Crime Reporting UnitP.O. Box 7068West Trenton, NJ 08628-0068(609) 882-2000, Ext. 2917

OFFICE OF THE ATTORNEY GENERAL

PHILIP D. MURPHY DEPARTMENT OF LAW AND PUBLIC SAFETY GURBIR S. GREWALGovernor POST OFFICE BOX 080 Attorney General

TRENTON NJ 08625-0080SHEILA Y. OLIVER

Lt. Governor

HUGHES JUSTICE COMPLEX • TELEPHONE: (609) 292-4925 • FAX: (609) 292-3508

New Jersey Is An Equal Opportunity Employer • Printed on Recycled Paper and Recyclable

The Honorable Philip D. MurphyGovernor of the State of New Jersey

Honorable Members of the Senate andAssembly of the State of New Jersey

Dear Governor and Members of the Legislature:

Pursuant to N.J.S.A. 52:17B-5.5, I am submitting the fiftieth annual report of crime in New Jersey. The annual report is based on crime statistics submitted to the New Jersey Uniform Crime Reporting System by every New Jersey law enforcement agency for the year 2016.

Effective law enforcement requires accurate crime statistics in order to identify the extent, type, and location of criminal activity. Criminal Justice administrators and planners have long recognized the Uniform Crime Reporting Program as the vehicle to accomplish this objective.

The success of the Uniform Crime Reporting System during 2016 could not have been realized without the cooperation extended by each of the 536 law enforcement agencies of the State, the New Jersey Chiefs of Police Association, and the County Prosecutors Association.

It is in the interest of more effective law enforcement to the nearly nine million residents of New Jersey that the fiftieth annual report is submitted.

Respectfully,

Gurbir S. Grewal

Attorney General of New Jersey

NEW JERSEY ASSOCIATION OF CHIEFS OF POLICEADVISORY REPRESENTATIVE ON UNIFORM CRIME REPORTING

Chief William Parenti North Plainfield Police Department

NEW JERSEY STATE POLICECRIMINAL JUSTICE RECORDS BUREAU

609-882-2000

Capt. Kenneth JonesBureau Chief

Lt. Nevin MannAssistant Bureau Chief

UNIFORM CRIME REPORTING UNIT

Chanique Bethea Supervisor

Synetra Allen Data Entry

Sgt. Christian Sime Assistant Unit Head

Tpr. I Charles Orlando Analytical Unit

SFC Robert RussoCompliance Squad

Sgt. Gerald McCreeryCompliance Squad

OFFICE PERSONNEL

Kimberley WertHead Clerk

PROGRAMMING UNIT

Lt. William White

Marina Novikov

PRINTING & GRAPHIC ARTS UNIT

Brian WorkmanUnit Head

Ted Carey

Sharon Paul Sharon Daily-Czachur

Lt. Sean Hybbeneth Unit Supervisor, CJRB

SFC Michael Lindlau Unit Head, Discovery

Heather Ottavi Administrative Analyst

Ashley JenkinsData Entry

In MemoriamMembers of all Law Enforcement Agencies and the entirecriminal justice community extend their sympathy to thefamilies of the below-listed law enforcement officers whodied in the performance of duty:

Trooper Sean E. CullenNew Jersey State PoliceEnlisted: August 2014

End of Watch: March 8, 2016

Senior Corrections Officer Nikeelan D. SemmonNew Jersey Department of Corrections

Enlisted: January 2008End of Watch: July 1, 2016

Trooper Frankie L. WilliamsNew Jersey State PoliceEnlisted: January 2016

End of Watch: December 5, 2016

Lieutenant William G. FearonNew Jersey State Police

Enlisted: September 1994End of Watch: December 28, 2016

TABLE OF CONTENTS

NEW JERSEY CHIEFS OF POLICE ADVISORY REPRESENTATIVE

NEW JERSEY STATE POLICE UNIFORM CRIME REPORTING UNIT MEMBERS

SECTION I—SYNOPSIS UNIFORM CRIME REPORTING PROGRAM . . . . . . . . . . . . . . . . . . . . . . . 1New Jersey Uniform Crime Reporting System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2Profile of New Jersey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5Crime Factors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Police Point of View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

SECTION II—STATE SUMMARY AND OFFENSE ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Statewide Crime Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Violent Crime Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Nonviolent Crime Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18Total Arrest Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Police Officers Killed and Assaulted Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19Crime in New Jersey, United States and Northeastern Region . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Individual Index Offense Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20Murder . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Rape . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27Robbery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Aggravated Assault . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32Burglary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34Larceny-Theft . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36Motor Vehicle Theft . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38Arson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40

SECTION III—STATE AND COUNTY ARREST SUMMARY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43Arrest Summary for Non-Index Offenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Manslaughter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Simple Assault . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Arson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66Forgery and Counterfeiting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67Fraud . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67Embezzlement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67Stolen Property; Buying, Receiving, Possessing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68Criminal/Malicious Mischief . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68Weapons – Carrying, Possessing, etc. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68Prostitution and Commercialized Vice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69Sex Offenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69Drug Abuse Violations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69Gambling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74Offenses Against Family and Children . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74Driving Under the Influence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74Liquor Laws . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75Disorderly Conduct . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75Vagrancy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75All Other Offenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76Curfew and Loitering Law Violations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76Runaways . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76

SECTION IV—COUNTY OFFENSE AND SUPPLEMENTARY DATA OVERVIEW . . . . . . . . . . . . . . . . 77Atlantic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88Bergen . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88Burlington . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88Camden . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89Cape May . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89Cumberland . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89Essex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90Gloucester . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90Hudson . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90Hunterdon . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91Mercer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91Middlesex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91Monmouth . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92Morris . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92Ocean . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92Passaic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93Salem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93Somerset . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93Sussex . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94Union . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94Warren . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94

SECTION V—INDEX OFFENSE ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95Crime Index for Population Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96Comparative Crime Rates for Population Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97Urban, Suburban, Rural Crime – Five Year Comparison . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98Urban Municipalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99Suburban Municipalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100Rural Municipalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101Universities and Colleges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102

SECTION VI—CRIME IN THE CITIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103Crime in the Cities Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106Street Crime . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107“Urban Fifteen” Profiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108

SECTION VII—NEW JERSEY MUNICIPAL-COUNTY OFFENSE AND DEMOGRAPHIC DATA . . . . . . 109New Jersey Municipal Profiles . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110

SECTION VIII—RESORT MUNICIPALITIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165Resort Municipality Crime Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166

SECTION IX—POLICE EMPLOYEE DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173New Jersey Police Employee Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181

SECTION X—LAW ENFORCEMENT OFFICERS KILLED AND ASSAULTED SUMMARY . . . . . . . . . 185

GLOSSARY OF TERMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191

CALCULATIONS OF RATES AND TRENDS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

TABLES AND CHARTS

SECTION II—STATE SUMMARY—PART 1 AND INDEX OFFENSE ANALYSISTwenty-four Hour Crime Cycle in New Jersey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10New Jersey Crime Clock . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11Crime Index, Rate, Distribution, Clearances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Crime Trends, Number, Rate, Clearances, Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Index Offenses, Cleared – Percent, Adult, Juvenile Involvement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Type and Value of Property Stolen and Recovered, Percent of Value Recovered . . . . . . . . . . . . . . . . . . 15Five Year Recapitulation of Offenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Murder by Day of Week . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22Murder Victims by Age, Sex and Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23Murder – Weapon Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24Relationship of Murder Victim to Offender . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Murder Circumstances . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Murder by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26Robbery – Weapons Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Robbery – Place of Occurrence, Average Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Robbery – Carjacking Offenses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31Aggravated Assault – Weapons Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33Burglary – Location, Time, Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Larceny-Theft – by Type and Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Motor Vehicle Theft – Value Stolen and Recovered . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Motor Vehicle Theft – Vehicles Recovered, Percent Recovered . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39Arson by Property Classification and Value . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41

SECTION III—STATE AND COUNTY ARREST SUMMARYTotal Arrests by Age . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44Comparison of State Arrests – Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46Arrest Trends by Age Group – Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47Total Arrest Trends by Sex – Males, Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48Total Arrest Trends by Sex – Females, Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Total Arrests by Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50Total Adult and Juvenile Arrests by Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51Arrests by Ethnic Origin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52County Arrests by Ethnic Origin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Total Arrests by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54Adult Arrests by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56Juvenile Arrests by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58Comparative Arrests by County – Rate, Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60Adult and Juvenile Arrests by County – Male and Female . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61County Arrests by Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62County – Adult Arrests by Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63County – Juvenile Arrests by Race . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63Police Disposition of Juveniles Taken into Custody by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64Total Arrests for All Drug Abuse Violations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70Analysis of Drug Abuse Violations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71Five Year Recapitulation of Drug Abuse Arrests . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72Comparative Drug Arrests by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73

SECTION IV—COUNTY OFFENSE AND SUPPLEMENTARY DATA OVERVIEWIndex of Crime by County – Rate, Clearance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78Violent and Nonviolent Crime by County, Number and Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82Analysis of Robbery, Burglary, and Larceny – County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84Value of Property Stolen and Recovered by County . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86

SECTION V—INDEX OFFENSE ANALYSISCrime Index by Population Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96Comparative Crime Rates for Population Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97Crime Index Trends – Urban, Suburban, Rural – Five Year Comparison Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98Urban Crime Index Number, Rate, Percent Distribution Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99Suburban Crime Index Number, Rate, Percent Distribution Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100Rural Crime Index Number, Rate, Percent Distribution Percent Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101University and College Offense Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102

SECTION VI—CRIME IN THE CITIESTen Year Comparison for State and Urban Cities over 50,000 Population . . . . . . . . . . . . . . . . . . . . . . 105Ten Year Summary – State, “Major Urban,” “Urban 15,” Percent Distribution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106Street Crime Trends – “Urban 15" Municipalities . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107“Urban 15" Municipal Profile Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108

SECTION VII—NEW JERSEY MUNICIPAL-COUNTY OFFENSE AND DEMOGRAPHIC DATAState, County, Municipal, Offense and Demographic Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110-165

SECTION VIII—NEW JERSEY CRIME RATES FOR RESORT MUNICIPALITIESResort Municipality Crime Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166-171

SECTION IX—NEW JERSEY POLICE EMPLOYEE DATATotal Number of Full-time Police Employees – State of New Jersey . . . . . . . . . . . . . . . . . . . . . . . . . . . 174Full-time State Law Enforcement Agency Employees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175Full-time Municipal Police Employees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175Number of Municipal Police Officers and Rate per 1,000 Population by County . . . . . . . . . . . . . . . . . . 176Number of Municipal Police Employees and Rate per 1,000 Population by County . . . . . . . . . . . . . . . . 177Full-time County Police Employees . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178-179Full-time Police Employees, Universities and Colleges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180

SECTION X—LAW ENFORCEMENT OFFICERS KILLED AND ASSAULTED SUMMARYWeapons Used in Assaults on Police Officers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188Assaults on Police Officers by Hour of Day . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188Police Assaulted by Type of Activity . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189Assaults on Municipal Police Officers – Number, Rate per 100 Officers by County . . . . . . . . . . . . . . . . 190

The New Jersey State Police UCR Unit is placing a greater reliance on the individualreporting agencies for the accuracy of the data published.

Section OneSection OneSYNOPSIS:UNIFORM CRIMEREPORTING PROGRAM

1— Synopsis: Uniform Crime Reporting Program —

The New Jersey Uniform Crime Reporting System is based upon the compilation, classification, and analysis of crime data reportedby all New Jersey police agencies in accordance with the regulations prescribed by law.

DEFINITION

THE NEW JERSEY UNIFORM CRIME

REPORTING SYSTEM

DEVELOPMENTThe New Jersey Uniform Crime Reporting Law (N.J.S.A. 52:17 B-5.1 et. seq.) was enacted on May 16, 1966, and became effective January 1, 1967. Responsibility for the establishment, direction, control, and supervision of the Uniform Crime Reporting System was assigned to the State’s Attorney General. The Attorney General authorized the New Jersey State Police to collect and collate the crime data received from law enforcement agencies within the state.

At the request of the Attorney General, the New Jersey State Police researched crime systems in operation throughout the nation in order to establish a firm foundation from which to grow. The most logical approach was the paralleling of the federal crime reporting system. There was a distinct need for a compatibility feature that would enhance both the state and federal systems through the data entry at both levels.

This compatibility has, as its nucleus, the standard classification of offenses established by the Federal Bureau of Investigation. Regardless of the label placed on a particular offense in the various states’ systems, i.e., felony, misdemeanor, disorderly persons, if the incident meets the federal standard it will be reported as an offense.

The terms “crime” and “offense” are used interchangeably in this publication, and refer to an act committed in violation of a law which is reportable under the guidelines of the Uniform Crime Reporting Program.

The New Jersey State Chiefs of Police Association has served the program in an advisory capacity since 1966. The contributions of this association have proved valuable to the success of the program. This association works in close harmony with the State Police as a means of improving the quality of reporting through recommended program standards, policies and procedures.

COLLECTION OF CRIME DATAAs required by statute, all law enforcement agencies in the state submit monthly and annual summary crime reports to the program. During the year 2016, offense and arrest data were received from 468 municipal police departments and the New Jersey State Police (acting as the reporting agent for the 77 municipalities without local police services). In addition to the 468 municipal police departments, there were 20 municipalities which contracted with other police departments for local police services and crime data reporting.

In addition to the above agencies, data was received from the state’s 21 prosecutors, 21 sheriffs’ departments, one (1) county police departments, and one (1) county park police department. In order to incorporate all New Jersey law enforcement agencies under the system, the nine (9) other state agencies with law enforcement responsibilities (excluding state police) and 14 college campus police departments were incorporated within the program. Collectively, a total of 536 law enforcement agencies submit reports to the New Jersey State Police.

METHODA State of New Jersey Uniform Crime Reporting Guide has been distributed to all contributors. It outlines reporting procedures in detail, and is complete to the extent of providing examples and illustrations. Field representatives provide additional instruction and clarification when required.

All reported offenses are related to the municipality in which they occur rather than to the agency which may conduct the investigation. The clearance is credited to the municipality in which the offense occurred. Each contributing agency is responsible for compiling its own

— Synopsis: Uniform Crime Reporting System —2

reports. Law enforcement agencies report the number of known offenses according to the following categories: Homicide (Murder andManslaughter), Rape, Robbery, Aggravated Assault, Burglary, Larceny-Theft, Motor Vehicle Theft, and Arson. The “Crime in New Jersey,”and the Federal Bureau of Investigation’s “Crime in the United States” publications exclude manslaughters, simple assaults, and arsonsfrom the “Index” offenses. These are further referred to as “violent” and “nonviolent” crimes as graphically illustrated in Section VII under“Municipal and County Offenses and Demographic Data,” and Section II, “State Summary and Offense Analysis.”

All reported offenses are compiled from a record of all criminal complaints received by police from victims or other sources, or discoveredby the police during routine operations. Complaints determined to be unfounded are eliminated from this count. Analytical data pertainingto specific crime categories are also reported, i.e. total adult and juvenile arrests made during the month. Police killed or assaulted andarson data are also collected monthly. Police personnel information is submitted on an annual basis.

FLOW CHART OF UCR REPORTS

— Synopsis: Uniform Crime Reporting System — 3

VERIFICATION PROCESSESThe uniformity and accuracy of data gathered from contributors must be safeguarded through various ways. Although guidelines andinstructions are provided to each contributor, they are not the panaceas for the accuracy being sought.

The reports received by the Uniform Crime Reporting Unit are recorded and examined for mathematical accuracy and reasonableness ofthe interpretation of the offense classifications. Improper classifications, changes in reporting procedures, or actual change are identifiedin this manner. Errors of a minor nature are corrected by direct telephone contact with the contributors, while all other errors are resolvedthrough a personal visit by a field representative to the reporting agency.

Further verification is accomplished through the analysis of statistical data accrued from the reports submitted. Fluctuations in crime ratesnoted from previous submissions are verified by the field representatives through their municipal counterpart.

FUNCTIONPolice executives make use of this data in administrative, planning, and operational determinations for their respective jurisdictions. TheState Police Uniform Crime Reporting Unit provides assistance to municipal police agencies through the individual analysis of statistics asthey relate to specific crime problems within their jurisdiction. Police executives also use this data for identifying personnel and equipmentneeds. The Uniform Crime Reporting Program requirements not only have increased police efficiency in reporting and record keeping areas,but have helped police in their day to day operations.

Although the data collected on the offenses of manslaughter and simple assault are not presented in the annual report, they are requiredfor the federal system. Data for these offenses is processed and provided for research purposes.


PROFILE OF NEW JERSEYNew Jersey is situated between the major industrial markets of New York and Philadelphia. The geographic location of the state has beena major factor in its growth and development. The many miles of interstate roadways within the state connect New Jersey directly with theneighboring states of New York, Pennsylvania, and Delaware. Additionally, New Jersey roadways accommodate large volumes of traffic asa corridor for commerce and travelers from throughout the United States.

The state is geographically composed of 21 counties which contain 565 incorporated municipalities. Nationally, New Jersey, although 46thin size, ranks tenth in population and first as the most densely populated state in the country. In addition to this density of 1,195.1 personsper square mile, New Jersey still has many miles of rural areas and sparsely settled communities. The areas of density are concentratedaround the major urban centers and those venues most accessible for commuting.

Area in SquareMiles

2015 EstimatedPopulation

2010 CensusPopulation

2015/2010 Percent Change

2015 Density perSquare Mile

2010 Density per Square Mile

7,495.73 8,958,013 8,842,934 1.3 1,195.1 1,179.7

STATE, COUNTY AND MUNICIPAL PROFILESThe presentation of state, county and municipal profiles in this section is offered for the purpose of projecting, for the consideration ofthe reader, a group of recognizable factors which may affect the amount and type of crime that occurs from community to community.Selection of the areas of information to be related to individual municipalities was based on the immediacy and completeness of dataavailable.

Population statistics presented here, and throughout this publication, were obtained from the Department of Labor, Division of LaborMarket and Demographic Research.

Character of municipalities by urban, suburban and rural classifications, and square miles, were initially compiled by the Department ofCommunity Affairs, Division of State and Regional Planning, Bureau of Statewide Planning, and will continue to be used for comparativepurposes. Following is a list of categories used and a description of each category.

• URBAN CENTER• URBAN SUBURBAN• SUBURBAN• RURAL• RURAL CENTER

Densely populated with extensive development.Near an urban center but not as extremely developed and more residential areas. Predominantly single family residential, within a short distance of an urban area. Scattered small communities and isolated single family dwellings.High density core area with surrounding rural municipalities.

Certain other socioeconomic factors present in varying degrees in all communities may have an influence on resulting crime rates.Obvious difficulties in the identification, documentation and measurement of these factors, however, precluded their application in thisreport.

Those factors presented were listed to affirm their existence within the county and community and to provide a base for considerationin the evaluation of that community’s crime experience.

RESORT MUNICIPALITY CRIME RATES

On July 10, 1998, section 4 of P.L. 1966, c37(C.52:17B-5.4) was amended to require the Uniform Crime Report to include, in additionto the regular statistics, an alternative calculation that takes into account the seasonal population of resort municipalities.

The Department of Labor has been mandated to determine which municipalities qualify as resort municipalities and certify their annualmean population (which includes seasonal population estimates.)


CRIME FACTORSIn order to provide a meaningful statistical profile of crime within the State of New Jersey, each law enforcement agency must provide theUniform Crime Reporting Unit with data that depicts specific crimes that are occurring within their jurisdiction. There is a need forcompatibility with the National Uniform Crime Reporting System and, therefore, categories of offense classifications used within the stateare identical with those of the National System. This results in equitable conclusions being drawn from the data submitted.

Reported Part 1 offenses and arrests are recorded in the municipality where they occurred, regardless of the outside investigative agencywhich may investigate, arrest, or otherwise dispose of the case.

The factors which influence crime rates are dependent upon characteristics of the community. When attempting to interpret the crimestatistics presented herein, one should be aware of the social structure and factors that lead to or cause criminal behavior.

Crime rates in this publication are based on the stable population of the municipality. Municipalities that experience high populationincreases due to special events or commuters or with high seasonal populations, may indicate a higher crime rate per one thousand thanmay be normal for a municipality their size. A separate section provides statistics for resort municipalities using crime rates which includeseasonal populations.

Set forth below are some factors which, by type and volume, will affect the crime rate that occurs from place to place:

• Density and size of the community population and the metropolitan areas of which it is a part.

• Composition of the population with reference particularly to age, sex and race.

• Economic status, including job availability, and mores of the population.

• Relative stability of population, including commuter, seasonal, and other transient types.

• Climate, including seasonal weather conditions.

• Cultural conditions, such as educational, recreational, and religious characteristics.

• Effective strength of law enforcement agencies.

• Administrative and investigative emphases of law enforcement.

• Policies of other components of the criminal justice system (i.e., prosecutorial, judicial, correctional, and probational).

• Crime reporting practices of the general citizenry.

• Attitudes of the public toward crime reporting.

• The administrative and investigative efficiency of the local law enforcement agency, including the degree of adherence tocrime reporting standards.

• Cooperation of adjoining and overlapping police agencies.


THE POLICE POINT OF VIEWThe New Jersey State Police Uniform Crime Reporting Unit surveyed various police agencies of the state, attempting to ascertain theiropinion concerning factors contributing to the increase or decrease of specific crimes in their municipality. One of the goals of the UniformCrime Reporting Unit is to assist police in reducing crime by first identifying its extent, type and location. The following viewpoints areoffered with the expectation of reaching this goal.

ROBBERY

Decreases:

• More stringent sentencing requirements under the State Criminal Code have been a deterrent.

• Advanced technology in communications has led to increased exchanges of information between police departments.

• Highly visible foot patrols being deployed in commercial areas and densely populated residential areas.

• Use of Anti-Crime Units in high robbery areas.

Increases:

• Resort areas have shown an increasing seasonal population.

• Our highly mobile society provides easy access to areas which were previously difficult to reach.

BURGLARY

Decreases:

• Better deployment of police personnel, such as highly visible foot patrols in high density crime areas, and increased patrolsduring probable times and at probable locations of burglaries.

• More stringent sentencing requirements under the State’s Criminal Code have been a deterrent.

• Crime Prevention programs are being stressed in many communities and citizens have been taking a more active part byreporting suspicious persons or circumstances.

Increases:

• Extreme increases in population in certain areas have led to new housing in suburban and rural areas.

• Most adult residents are working; frequently leaving homes unoccupied for long periods of time.

• Abandoned, foreclosed, and bank owned properties are often targeted for copper pipe and other scrap items.

LARCENY

Decreases:

• Public awareness programs contribute to the decrease in thefts from parked vehicles.

• Improved or additional lighting deters criminal acts from occurring in parking areas.

• “Safe Streets” Programs and Anti-crime Units have been established in many communities.


Increases:

• Shoplifting is a theft over which the police have little or no control. Store security forces are under the control of the store administration, and their policies vary from strict enforcement, arrest and prosecution, to warnings. Policy change has been directed toward prosecuting the offenders rather than warning them, causing to some extent an increase in the number of shoplifting offenses reported to the police.

• Certain types of small mobile property such as GPS devices, cellular phones, laptops, and other electronic devices are common and present resale opportunities.

• Modern conveniences in automobiles, such as keyless entry, have led to complacency on the part of some vehicle owners. Unlocked vehicles account for a large majority of thefts of items from motor vehicles.

MOTOR VEHICLE THEFT

Decreases:

• Stronger sentencing of career criminals has been effective.

• Modern ignition systems and anti-theft devices are deterrents.

• Better lighting in parking lots has helped decrease motor vehicle thefts.

Increases:

• The tremendous replacement cost of auto parts has contributed significantly to the increase in motor vehicle thefts for the purpose of auto parts resale.

• Motor vehicle theft for export to overseas markets has become prevalent.


— State Summary & Offense Analysis — 9

Section TwoSection TwoSTATESUMMARY & OFFENSEANALYSIS

— State Summary & Offense Analysis —10

24 HOUR CRIME CYCLE IN NEW JERSEY 2016

Note: Arson is not includedin the Crime Index total.

1Murder

24 Robberies

30 Aggravated

Assaults

69 Burglaries

278 Larcenies

31 VehicleThefts

2Arsons

Rapes4


CRIME INDEX OFFENSE1 every 2 minutes and 44 seconds

VIOLENT CRIME 1 every 24 minutes

and 3 seconds

NON-VIOLENT CRIME 1 every 3 minutes and 49 seconds

MURDER1 every 23 hours and 14 minutes

ROBBERY1 every 59 minutes

RAPE1 every 6 hoursand 3 minutes

AGGRAVATED ASSAULT 1 every 47 minutes

and 15 seconds

BURGLARY1 every 20 minutes

and 55 seconds

LARCENY-THEFT 1 every 5 minutes and 11 seconds

MOTOR VEHICLE THEFT 1 every 46 minutes and

36 seconds

NEW JERSEY CRIME CLOCK 2016


CRIME INDEX FOR THE STATE - 2016

OFFENSESNUMBER OF

INDEXOFFENSES

RATE PER 1,000

INHABITANTS

PERCENT DISTRIBUTION

NUMBEROF

OFFENSES CLEARED

PERCENTOF

OFFENSES CLEARED

MURDER 378 * 0.2 203 53.7

RAPE 1,452 0.2 0.9 493 34.0

Rape 1,377 0.2 0.9 462 33.6

Attempted Rape 75 * 0.0 31 41.3

ROBBERY 8,932 1.0 5.6 2,446 27.4

Firearm 3,156 0.4 2.0 697 22.1

Knife or Cutting Instrument 782 0.1 0.5 255 32.6

Other Dangerous Weapon 579 0.1 0.4 167 28.8

Strong Arm (Hands, Fists, etc.) 4,415 0.5 2.8 1,327 30.1

AGGRAVATED ASSAULT 11,153 1.2 7.0 5,813 52.1

Firearm 2,200 0.2 1.4 662 30.1

Knife or Cutting Instrument 2,313 0.3 1.4 1,308 56.6

Other Dangerous Weapon 3,750 0.4 2.3 2,001 53.4

Strong Arm (Hands, Fists, etc.) 2,890 0.3 1.8 1,842 63.7

BURGLARY 25,198 2.8 15.7 3,769 15.0

Forcible Entry 13,871 1.5 8.7 2,152 15.5

Unlawful Entry - No Force 8,597 1.0 5.4 1,291 15.0

Attempted Forcible Entry 2,730 0.3 1.7 326 11.9

LARCENY - THEFT 101,594 11.3 63.5 21,639 21.3

MOTOR VEHICLE THEFT 11,310 1.3 7.1 595 5.3

Automobiles 9,715 1.1 6.1 496 5.1

Trucks and Buses 578 0.1 0.4 30 5.2

Other Vehicles 1,017 0.1 0.6 69 6.8

TOTAL CRIME INDEX 160,017 17.9 100.0 34,958 21.8

VIOLENT CRIME 21,915 2.4 13.7 8,955 40.9

NONVIOLENT CRIME 138,102 15.4 86.3 26,003 18.8* Not calculated due to small volume. Percent distribution may not add to 100 due to rounding. Breakdowns may not equal totals due to rounding.


CRIME TRENDS - NUMBER - RATE - CLEARANCES 2015/2016 - PERCENT CHANGES

INDEX OFFENSESNUMBER OFOFFENSES

RATE PER1,000

INHABITANTS

NUMBER OFOFFENSESCLEARED

PERCENT OFOFFENSESCLEARED

MURDER369 0.0 174 47.2378 0.0 53.7

2015 2016

Percent Change 2 0 17 14

RAPE1,362 0.2 448 32.91,452 0.2 493 34.0

20152016

Percent Change 7 0 10 3

ROBBERY 9,743 1.1 2,477 25.48,932 1.0 2,446 27.4

20152016

Percent Change -8 -9 -1 8

AGGRAVATED ASSAULT11,425 1.3 5,966 52.211,153 1.2 5,813 52.1

20152016


BURGLARY27,890 3.1 3,981 14.325,198 2.8 3,769 15.0

20152016


LARCENY - THEFT106,059 11.9 23,417 22.1101,594 11.3 21,639 21.3

20152016

Percent Change -4 -5 -8 -4

MOTOR VEHICLE THEFT11,763 1.3 668 5.711,310 1.3 595 5.3

20152016

Percent Change -4 0 -11 -7

TOTAL CRIME INDEX168,611 18.9 37,131 22.0160,017 17.9 34,958 21.8

20152016


VIOLENT CRIME22,899 2.6 9,065 39.621,915 2.4 8,955 40.9

20152016


NONVIOLENT CRIME145,712 16.3 28,066 19.3138,102 15.4 26,003 18.8

20152016


* Percent change due to application of expanded rape definition. Refer to page 7 and 27 for more information.

203


Index Offenses ClearedAdult and Juvenile Distribution - 2016

4

4

2

3

3

90

2

3

6

6

8

7

7

10

8

7

91

416

15

301

487

0,089

36

2,035

7,923

4,112

77

12

282

550

59

2,923

3

1,891

Actual

Numbers

By

Percentage

Due to rounding, the percentage may not add to 100.


5 30,194,342 702,435 2.3 0.42016 34,657,933 1,829,857 5.3 12.5

15 161 130 20

5 45,262,440 1,975,597 4 5.62016 $44,558,753 1,709,855 3.8 16.0

-2 -13 -14 3

5 335,605 5,763 1.72016 237,974 13,248 5.6

-29 130 229

2015 439,015 331,197 4.5 9 2016 745,019 287,712 22.4 2.1

6 -3 -9 11

2015 7,318,348 8,666,217 5 40.52016 4,991,687 6,443,908 7.8 41.4

-2 -3 -1 2

5 138,892 7,065,603 7.8 1.5 2016 77,504,338 8,001,848 10.3 27.9

-15 13 32 -11

746,812289,688,642 7.55

277,695,704 79,286,428 28.6 2016 100.0

4 -1


TYPE AND VALUES OF PROPERTY STOLEN AND RECOVERED 2015/2016


STATE OF NEW JERSEYFIVE YEAR RECAPITULATION OF OFFENSES

2012 THROUGH 2016OFFENSES 2012 2013 2014 2015

MURDER 387 401 354 369

RAPE 1,038 874 950 1,362

Rape 969 827 893 1,308

Attempted Rape 69 47 57 54

ROBBERY 11,384 12,087 10,492 9,743

Firearm 3,990 4,613 3,714 3,304

Knife or Cutting Instrument 932 867 808 850

Other Dangerous Weapon 719 687 623 609

Strong Arm (Hands, Fists, etc.) 5,743 5,920 5,347 4,980

AGGRAVATED ASSAULT 12,933 12,090 11,208 11,425

Firearm 2,402 2,304 2,083 2,110

Knife or Cutting Instrument 2,826 2,568 2,398 2,504

Other Dangerous Weapon 3,839 3,742 3,505 3,567

Aggravated (Hands, Fists, Feet, etc.) 3,866 3,476 3,222 3,244

BURGLARY 42,384 35,795 31,740 27,890

Forcible Entry 24,891 20,486 17,883 15,217

Unlawful Entry - No Force 12,992 11,598 10,482 9,554

Attempted Forcible Entry

LARCENY - THEFT 122,770 117,958 111,620 106,059

33,391 31,155 29,821 28,634

MOTOR VEHICLE THEFT 16,471 13,709 11,702 11,763

729 713 651 658

Other Vehicles

TOTAL CRIME INDEX 207,367 192,914 178,066 168,611

CRIME RATE PER 1,000 23.4 21.8 20.0 18.9

VIOLENT CRIME 25,742 25,452 23,004 22,899

NONVIOLENT CRIME 181,625 167,462 155,062 145,712

2016

378

1,452

1,377

75

8,932

3,156

782

579

4,415

11,153

2,200

2,313

3,750

2,890

25,198

13,871

8,597

2,730

101,594

11,310

9,715

578

1,017

160,017

21,915

138,102

46,951

26,830

27,813

17.9


STATEWIDE CRIME SUMMARY - 2016

60,017 6 5 5

8 victims a decrease of 5 to 2015.

The month of 15,686 the month of

1,169

77.7 6 4 5 3 9 1 4

7,243 5 5

4 9

2 6

70 0

seven 1

The ethnic origin

8

and

21,915 6 4 percent 5

decreased 4 percent 2016

VIOLENT CRIME SUMMARY

VOLUME/RATE/TREND


033 479

10.5 6, n in 22 5

,175 violent crime arrests 2 5

7 .

1 6

6 4

79 violent crime 1

ix 2

-two

38,102 6 5 5

6 5.4 6

3,653 9,690

67.2 6 5 5

NONVIOLENT CRIME SUMMARY

27,068 6 5.

3 9 2016

0 90

5 10



7 represented 3

one 6 3 percent

The ethnic origin 9

Twenty-one 6 7

TOTAL ARREST SUMMARY308,117 p 6 n in 2 5

6 remained the same p

in 2 8,092 6 0,025 6

4 6

Fifty-nine 6

The ethnic orgin

POLICE OFFICERS KILLED AND ASSAULTED SUMMARY no 6

873 6



CRIME IN NEW JERSEY, UNITED STATES AND THE NORTHEAST REGION

• Violent crime in New Jersey decreased 4.3 percent compared to the previous year, while the Northeast Region decreased 1.2 percent overall. Violent crime in the United States increased by 4.0 percent overall.

• Nonviolent crime in New Jersey decreased 5.2 percent, while the Northeast Region decreased 4.4 percent overall. Nonviolent crime in the United States decreased 1.3 percent when compared to the 2015 figure.

INDIVIDUAL INDEX OFFENSES Percent Change

2015/2016New Jersey United States Northeastern States

Murder +2.4

Rape

Robbery

Aggravated Assault - 2.4

Burglary

Larceny-Theft

Motor Vehicle Theft - 3.9 +7.4

Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont, New Jersey, New York, Pennsylvania.* Percent change less than one-half of one percent.

+6.6

- 8.3

- 9.7

- 4.2

+8.6

+4.9

+1.2

+5.1

- 4.6

- 1.5

- 0.6

+1.4

- 5.6

+0.7

- 9.6

- 3.7

+0.9


MURDER

78 6 2 369 5

-half of one percent all

age group 20

4 8 6 6

Twenty-two 6 7

3 33 percent 79 murders.

three Tuesday 43

August, November and December (38), March 21

four 5 15

ifty-two 6

9 35

204 6 4 in 5

in 10 174 91 de 41 22 13

eventy 25 and 13 percent were Hispanic ethnic origin



ifty-four 6 203 78 6

89 11

Statistic Breakdown

August, November and December

:

:

:

rrests:

24

89

7

ictims:

80

71

Sunday

20


59

59

55

44

43

55

6317%

15%

11%

12%

15%

16%

16%

Sunday

Monday

Tuesday

Wednesday

Thursday

Friday

Saturday


2 - 2 2 - 0 0 00.5

6 3 3 2 4 0 0 06

4 2 2 1 3 0 0 01.1

3 2 6 6 0 0 05

77 5 12 2 64 0 020.5

6 7 10 2 5 0 0 07.9

57 52 43 0 0 15.2

39 9 8 1 0 010.1

17 12 5 5 2 0 0 04

15 9 6 4 9 0 2 04.0

2 8 4 7 4 0 1 03.2

7 2 5 9 8 0 0 04.5

0 7 2 0 0

5 3 2 5 - 0 0 03

5 1 4 2 1 1 03

8 6 2 4 4 0 0 01

78 01 77 2 66 3 0

79.6 20.4 7.0 70.4 8


MURDER VICTIMS BY AGE, SEX AND RACE 2016

10 14 4 3 - - 3 1 0 08


MURDER — DISTRIBUTION BY TYPE OF WEAPON2016

WEAPON PERCENT DISTRIBUTION OFFENSES

Handgun 72.5% 274

Rifle 1.1% 4

Cutting Instruments 8.5% 32

Blunt Object 5.6% 21

Hands, Fists, Feet, etc. 5.8% 22

Fire 0.8% 3

Strangulation, Hanging, Drowning, Asphyxiation 1.9% 7

Other/Unknown 4.0% 15

TOTAL 100.0% 378



Due to rounding, the percentage may not add to 100.*Less than one-half of one percent.

RELATIONSHIP OF MURDER VICTIMS TO OFFENDER


MURDER CIRCUMSTANCES


MURDERS BY COUNTY - 2016

0SUSSEX 19

PASSAIC

10BERGEN

1WARREN 0

MORRIS124

ESSEX30 —HUDSON

0HUNTERDON

5SOMERSET

23UNION

9 MIDDLESEX

26MERCER 7

MONMOUTH

20BURLINGTON

4OCEAN

21ATLANTIC

57CAMDEN

6GLOUCESTER

5SALEM

11 CUMBERLAND

0CAPE MAY


:

452 6 7 1,362 5 *

7

five 5 rape attempts

during r s 561

398 for rape in 6 5

3 23

three persons for rape 35 2

The H ethnic origin 41

Twenty-five

four 6 6

September:

:

:

rape

1

5

3

RAPE

* This significant increase is due to the expanded rape definition change in 2015.


ROBBERY:

8,933 6 8 5

1

6

0

in 1 14

10,445,928

3,054 6 3 5

0 11

6

.

The H ethnic origin 21

seven 8

October

4

:

:

:

:

:


ROBBERY WEAPON DISTRIBUTION2016

PLACE OF OCCURRENCECLASSIFICATION NUMBER OF

OFFENSESTOTAL VALUE

AVERAGE VALUE

PERCENTDISTRIBUTIONOF OFFENSES

HIGHWAY 5,393 $ 5,024,518 $ 932 60.4

COMMERCIAL HOUSE 640 $ 2,345,697 $ 3,665 7.2

GAS, SERVICE STATION 287 $ 118,440 $ 413 3.2

CONVENIENCE STORE 527 $ 331,539 $ 629 5.9

RESIDENCE 909 $ 1,128,446 $ 1,241 10.2

BANK 133 $ 398,466 $ 2,996 1.5

MISCELLANEOUS 1,043 $ 1,098,822 $ 1,054 11.7

TOTAL FOR NEW JERSEY 8,932 $ 10,445,928 $ 1,169 100.0



30 — State Summary & Offense Analysis —

CARJACKING STATISTICAL SUMMARY

Highlights of carjacking offense statistics for 2016 are listed below:

There were 184 carjacking offenses reported to the police; which involved 190 victims, including passengers.

Carjackings decreased 1% when comparing 2016 to 2015 reported offenses.

Seventeen of the 565 municipalities in New Jersey reported carjackings.

Firearms were involved in 71% (130) of all carjackings. Shootings were involved in 4 percent (7) of all carjackings.

New Jersey registered vehicles represented 83% (153) of all carjackings. Toyota represented the most frequently carjackedvehicle at 13%. The most frequently targeted vehicle year was 2015 with 12% (22).

Seventy percent (129) of all carjacked vehicles were recovered. The average value of a carjacked motor vehicle was $8,011.

Carjackings occurred in a residential area 89% (163) of the time. The hours of darkness (6:00 p.m. to 6:00 a.m.) accountedfor 79% (146) of all carjackings.

Eight percent (15) of all carjackings were witnessed.

The most frequent victim age group was 30-34, which accounted for 19% (36) of the victim total (190). Sixty-eight percent(129) of all victims were male. Fifty-five percent (104) of all victims were black.

The total number of offenders was 355. Complete offender information was supplied for 22% (78) of the offenders. Of allknown offenders, 20-24 was the most frequent offender age group and accounted for 63% (49). Ninety-seven percent (76)of all known offenders were male. Ninety-five percent (74) of all known offenders were black.

Of the total arrests for carjacking (5), adults accounted for 100% (5).

October had the highest number of offenses with 32, accounting for 17% of all carjacking offenses.

Sunday recorded the highest number of offenses with (41), accounting for 22% of all carjackings.

Region I, which consists of Essex, Hudson, and Union counties, accounted for 76% (139) of all carjackings, with the vastmajority occurring in Essex County.

No murders were reported in 2016 as a result of carjacking.

Three percent (5) of all carjackings (184) were cleared by arrest.


CARJACKING OFFENSESCOUNTY AND STATE TOTALS - 2016

County Number ofOffenses

Estimated TotalVehicle Value

Actual Number of VehiclesRecovered

OffensesCleared by

Arrest

Number ofPersonsArrested

Atlantic - - - - -

Bergen - - - - -

Burlington 2 $11,500 1 1 1

Camden 7 $35,950 3

Cape May - - - - -

Cumberland - - - - -

Essex 132 $942,000 107 - 2

Gloucester - - - - -

Hudson 5 $52,547 5 - -

Hunterdon - - - - -

Mercer 19 $112,601 8 2 2

Middlesex 4 $71,000 3 - -

Monmouth - - - - -

Morris - - - - -

Ocean - - - - -

Passaic 4 $103,500 - - -

Salem - - - - -

Somerset - - - - -

Sussex - - - - -

Union 11 $145,101 2 - -

Warren - - - - -

TOTAL 184 $1,474,199 129 3 5


AGGRAVATED ASSAULT:

153 6, a de 5

1

6 decreased 8 percent to 1.2 5

20

519 6 2 5 2 1

4 6

The ethnic origin

September :

:

:

:

aggravated assault

4


201

Weapons

4


AGGRAVATED ASSAULT WEAPON DISTRIBUTION

2016

3,750

2,890

2,3132,200

Strong Arm (Hands, Fists, Feet, etc.)

26%


BURGLARY:

5,198 6 10 5

6 8

2.8 6

6

nine

57.2 270

401 1,872

3 430

3 2

Sixty-two percent of all persons arrested for burglary were white, 37 percent were black, and the remaining 2 percent were other races.

The ethnic origin 1

ifteen 7

August

burglary

6

: :

:

:

:

2


BURGLARY - 2016

334 10,121,129 2,335 7.2

7,643 6,628,278 176 3

6,063 6,325,890 693 4.1

18,040 3,075,297 1.62,401

15 6,784,644 1,930 3.9

060 512,123 427 2

583 5,834,316 2,259 3

158 4,131,083 8.41,872

5,198 57,206,380 270


LARCENY-THEFT:

1,594 6 4 5

4

4 percent 3 6

5

two 5

6 2,127

5

2 8

one 6

The ethnic origin

one 7

larceny

6

:

:

:

:

2

1

25-29


LARCENY-THEFT (Except Motor Vehicle Theft) - 2016

6,951 2,475,058 70 6.2

6,830 027,897 3 6.4

813 36,698 7.4

1,594 95,939,653 44

22 291,739 04

668 260,808 390 7

3,806 353,765 3.4

954 2,857,637 586 1.6

3,730 084,456 559 3.7

5,846 134,083 65 8

6,955 28,313,871 670 7

306 1 991 402 3

27,607 2,520,303 540 7.2

1,594 95,939,653 44

ADDITIONAL ANALYSIS OF LARCENY-THEFT


:

MOTOR VEHICLE THEFT

310 6 4 decrease 5

5

9,715

57

1,017

6

5

9

1 6

5

10,085

6 4

511 is a 23 percent decrease 5

de 23 1

8 2

Fifty-nine 40 , and 1 percent were other races

The ethnic origin 1

Five 6 0

October

motor vehicle

: :

:

:

4 8

59

In Uniform Crime Reporting, motor vehicle theft includes all thefts and attempted thefts of motor vehicles. This includes the theft or attempted theft of motor vehicle which is defined as a self-propelled vehicle that runs on the surface and not on the rails. This definition excludes taking a motor vehicle for temporary use, such as a family situation, or unauthorized use by others having lawful access to the vehicle. This motor vehicle theft category includes the subheadings of auto, trucks and buses, and other vehicles (motorcycles, mopeds, etc.)


MOTOR VEHICLE THEFT VALUES

7,548 66.7%

35.2%

3

31.5

3,980

3,568

3 ,762

58% OF STOLEN VALUE RECOVERED

MOTOR VEHICLES RECOVERED

Recovery of Motor Vehicles

$114,991,687

$66,443,908


ARSON:

83 reported 6 2 5

five 7

6

18

9.8 6,771

2,428 2,537

747

86 6 7 in 5

in 6 23

35

ixty-six 31 3

The ethnic origin 5

31 1

April :

:

Most frequent offender:

:

:

arson

7

66


ARSON - 2016

59 5,873,1477 58 7 19

64 1,358,2711 26 1 6 3

1 770,8674 10 48 10

0 0 0

28 02,3755 1 54 3

35 117,6026 0 57 80

5 62,840 5 33 1 20

23 8,485,1025 34 3842 28

4 1,155,9485 22 5

37,100 3 27

5 193,0486 25 16 4

06 99,40018 24 823 75

83 9,777,550 83 31 1


1

0

5

0

— State & County Arrest Summary — 43

Section ThreeSection ThreeSTATE & COUNTYARREST SUMMARY

— State & County Arrest Summary —44

TOTAL ARRESTS BY AGE - 2016

0 0 0 1 3 9 13 12 5 13 9

1 2 16 7 14 69 12 16 9 2

0 0 89 154 180 216 649 5 222 156 27

2 9 3 153 183 202 699 198 198 200 4

2 9 50 152 139 152 34 78 197 184 39

4 04 34 390 503 623 058 742 07 724 623

0 1 22 16 27 22 88 25 3 2 16

9 189 50 882 1,042 238 210 419 368 1,308 159

0 0 0 0 0 0 0 1 1 0

83 380 62 413 0 653 516 35 20 68

0 6 1 0 13 6 66 6

0 0 0 10 27 40 51 4 7 43

0 0 7 8 21 29 65 8 50 200 83

0 0 1 0 1 8 10 4 18 0 21

0 14 80 1 93 33 21 9 59 65 10

7 04 13 33 62 710 193 44 64 46

8 83 156 15 40 83 685 28 5 220 206

0 0 0 4 3 2 9 0 2 37 20

9 32 7 19 19 08 4 1 31 41

1 3 19 39 957 2,033 682 ,908 4,289 976 610

0 0 2 8 2 9 31 0 3 2

0 0 1 9 4 13 37 15 0 53 78

0 0 1 16 05 29 52 357 57 37

0 2 36 4 0 23 15 732 579 479 25

5 92 81 287 13 51 429 419 05 435 20

0 0 1 1 3 6 11 1 3

24 44 0 1 577 876 652 2,016 796 32 3,881

3 7 301 267 65 372 05 - - - -

57 30 484 401 33 352 1,857 - - - -

687 3,689 4,798 6,749 20,025153 949 10,050 11,158 11,879 11,582


TOTAL ARRESTS BY AGE - 2016

43 6 7 8 6 6 0 91 20411 2

5 55 50 32 17 14 10 7 9 9 3987 9

20 89 1 8 113 82 43 0 7 05 05412 06 5

04 680 69 408 42 201 102 75 820 5190 43 0

687 23 406 5 11 137 5 2 796 43049 47 32

459 2,852 227 705 54 79 871 30 17 0,069 2,117695 630 655

70 63 43 34 2 31 3 2 6 423 512 17 3

7,2435,818 681 35 680 34 2,304 281 87 0 3,033242 171 206

2 3 1 0 0 14 40 0

962 164 667 938 67 79 804 77 49 1,203 856795 21 20

20 6 12 8 15 8 5 4 5 120 864 3 3

200 2 24 4 76 58 3 1 5 51 9135 39 43

745 59 70 34 322 197 36 87 53 999 4,06494 76 85

58 35 20 32 23 7 6 3 11 314 3240 14 12

423 308 32 39 7 97 42 28 4 2,329 750116 104 106

617 51 387 04 200 60 9 4 40 235 3,9453 27 141

701 418 334 4 60 9 5 0 39 458 4,143203 85 61

67 40 94 79 88 8 9 20 4 857 6627 8 28

39 21 10 62 8 78 1 33 49 905 1325 25 21

11,898 7,386 4,866 901 601 2,103 1,193 86 256 5 358 63,0403,466 3,275 3,144

41 37 30 7 55 59 3 51 35 90 423 0 2

345 794 760 216 22 662 41 1 8 8,865 8,902 88 28 194

367 79 883 02 11 810 59 80 42 450 5793 854 30

157 91 45 51 56 59 40 1 0 2,621 43676 53 37

086 503 189 8 56 44 573 98 6 592 3,021538 519 466

23 19 22 18 36 47 35 17 2 263 2742 6 15

082 411 440 9,297 8,928 56 4,210 831 1,301 1,035 1 3,687209 355 4,690

05

1,857

8 1174,850 1 647 2,219 104 10,243 599 3,387 8,092 11,893 20511,994 21,276 7,006

— State & County Arrest Summary —

COMPARISONS OF STATE ARRESTS - 2015/2016

65

204196

9876

0543,143

5196,637

4304,564

2,1173,549

4

3

2

3

511661 -23

7,24339,126 5

410

856 22,485

86174

91075

4,064 3,803

324293

750459

3,9454,025

4,1433,853

6806

13035

63,040 52,898

40

2

7

7

1

2

-2

8

-2

19

421 351 20

8,902 9,828 9

579719

4363,885

3,021 12,988

27 674

3 687 115,780

05 1,416

1,857172

2

*

-59

2

1

15

8 117 302,855 2

46

*Less than one-half of one percent.


ARREST TRENDS BY AGE GROUP - 2015/2016

65 5 6

-411322 91174 10

23696 9320 3

11649728 05415 *

1699 708 82029 -2

234 649 7963,915 3

058336 0,0691,213 5

1 8809 423552 -23

9210 4,608 3,0334,518 4

-10002 14 8 75

86531,793 1,203 20,692 2

23686 120 88 38

434028 051047 *

-765 70 999 3,733

25108 314285 10

-92163 2,3291,996 7

-2071084 2353,141

685702 458 3,151 0

-50 918 857788

3108157 905878 3

5682518 5 358 49,380 20

73129 90 322 21

-45367 8,865 9,761 9

-2629175 450544 *

15 828 2 621057 14

5429 1,507 592 11,481 1

561125 263 649 -59

7652 2,855 1,035 112,925 2

105 1,416

151,857172

60,025 21,411 8 092 281,444

* Less than one-half of one percent


TOTAL ARREST TRENDS BY SEX - 2015/2016

65 5 6 65

1220 70164 2184

652 16 302 7854

59673 60058 653 2,731

2855 271420 4799 4,975

57599 260339 817 3,938

346539 4382 898 3 7844,437

7386 327416 400502

171524 2 8423 597 46 01327,121

02 8 20 80

04155 946940 -15,987 16,095

597 89 68 648139

2716 700693 32709

946 7592 85 78082,631

7 960 77665

6276 825540 142,1871,916

608 732 42 2,469 -5050 3,201

00616 869 2,709 4469 3,325

61 32822 4233436

9337 86793 5879 930

802,890 44,965 38,437 167 845 41,327

83 533 55346

2958 7 605490 117,634548

88108 336 14,864 4424 14,972

2516 1 76519 13291635

30073 65 8,825 95 9,898

019 232 537 242 556

1,932140 349 82,364 281 84,504

966050 966050

85060

-56

*

8

-20 85060

4 3525 621 10,015 205,553 1224,367221,174

*

* Less than one-half of one percent


TOTAL ARREST TRENDS BY SEX - 2015/2016

65 5 6 65

1 210 8212

74 318 -9022

655 4557 011

71 153 491,507

3

472060

7750 3576 13626

12797 7 631315 88 343112

15 9136 -301159

39 1,084 1910,919 1,230003

12638 6 25726 8869364

75 3120 835

32 1354 64366

1624 2401,148 7256172

3 425 16428

5987 504456 6543

0 152 793672 995824

586 589442 28674528

34 29566 732570

1520 119 85 28340

802628 4 3930,941 315 1951 569

316 25589 3168205

8 9 60271 -168280

4167 9 114680 59 155747

2893 856 938 8145250

399 434 727656 126090

1 6 31112 -73 32118

20715 28 6860,557 629,4061,276

439 366 20439366

007112 9007112

6735 90 8 07775,857 33,750 81,647

Manslaughter 0 0 0 6 0 6 *


TOTAL ARRESTS BY RACE - 2016

52 147 1 4

49 41 3 5

137 895 2 0

279 21 4 5

730 624 6 7

3,590 7,965 47 5

3 04 4

1,338 097 75 33

10 0 0

809 511 51 5

3 57 1 5

35 26 3 7

40 882 3 39

4 38 1

292 430 1 7

466 410 64

1,865 212 60

480 65 5 116

3 67 2 41

8,797 23,254 25 864

253 61 0 7

4,959 3,878 4 51

8,659 4,129 1 720

041 25 4 3

564 275 16 66

150 111 5 8

3,586 8,767 30 204

06 0 7

742 108 2 5

3 092 9,699 20 806


TOTAL ARRESTS BY RACE - 2016

49 37 1 4 3 0 0 0

209 14 3 40 7 0 2

937 446 1 19 98 449 1 1

00 06 3 101 79 15 4

411 21 5 58 318 303 2

2,508 046 6 0 075 917 11 55

262 157 1 3 39 47 1 1

19,386 2,929 60 8 52 168 15 5

10 4 0 0 0 0 0 0

3,084 601 1 725 10 4

82 36 0 41 1 1 3

1 3 27 15 25 0 0

2,004 857 3 35 6 25 0 4

7 35 1 7 3 0 0

179 22 1 27 11 308 0 0

973 202 3 57 493 208 2 7

1,532 1,873 5 4 33 339 1 12

474 62 116 6 3 0 0

630 236 0 39 73 31 2 2

36,203 22,230 115 810 2,594 1,024 10 54

228 157 0 5 5 0

4,936 3,865 4 50 23 13 0 1

550 4,114 715 09 5 0 5

275 285 4 7 6 4 0 9

6,783 2,644 14 51 81 631 15

142 108 5 8 8 3 0 0

2,097 646 25 167 489 121 5 7

0 0 0 0 06 0 7

0 0 0 0 742 108 2 5

72,255 10,807 476 554 0,837 8,892 4 5


TOTAL ARRESTS BY ETHNIC ORIGIN - 2016

27 177 24 67 3 0

65 3 45 184 49

31 423 475 30 56 493

688 831 1,496 24 9 07

952 478 800 2,996 52 482

029 8,098 530 6,539 499 559

06 405 86 337 68

598 29,645 556 6,477 42 168

3 11 3 11 0 0

596 260 5,194 6,009 02 251

40 25 95 21 45

5 76 211 40 36

52 312 8 261 1

60 52 8

567 183 479 850 8 33

47 098 655 80 192 518

889 254 678 780 211 474

7 96 6 90 6

47 666 305 0 2 66

12,154 50,886 11,298 8,060 56 826

63 358 50 340 3 8

339 7,563 328 7,537 11 26

788 7,791 758 692 3 99

66 070 260 361 106 09

625 396 256 36 69 060

25 249 2 240 2 9

024 4,663 392 2,643 32 020

71 4 71 4

617 240 617 240

9,466 8 651 4,438 33,654 8 4,997


COUNTY ARRESTS BY ETHNIC ORIGIN - 2016

1,924 10,129 70 571 54 58

691 13,940 5,272 2,784 19 ,156

701 8,897 610 8,051 91 846

4,021 4,714 427 2,566 594 ,148

80 63 59 98 45 65

887 8,038 660 7,683 27 55

4,116 3,167 922 1,460 194 , 07

1,020 4,408 977 3,841 43 567

896 419 7,180 938 716 481

84 430 372 298 2 32

1,847 1,717 1,700 0,692 47 1,025

825 14,184 335 449 490 35

52 336 41 998 211 ,338

2,376 775 2,204 8,241 72 34

89 3,680 89 063 0 617

202 9,864 217 043 85 821

387 103 357 2,902 0 01

15 260 05 4,895 10 365

57 2,921 21 724 36 197

4,091 061 873 519 18 542

32 2,696 09 2,582 23 14


ton May land cester

7 9 2 3

7

04 173 114 01 29 95 598 75

17 408 48 776 111 204 1,069 34

02 8 382 12 225 468 65

213 2,129 132 307 02 051 507 845

20 31 6 6

1,779 3,136 793 3,921 669 630 746 354

0 2 0 2 0 0 2

073 584 171 067 348 085 2,389 1,024

8 9 4 7

3 153 56 16 19 82 44

72 51 46 198 3 237 68

14 33 8 2 2 23 0

7 265 19 303 55 5 481 3

55 2 199 33 84 40 425 52

37 42 203 406 65 73 577 127

1 4 68 16 96 3 16 119 4

7 8 69 05 8 27 27 33

2,015 557 3,421 732 1,179 372 6,621 3,044

99 5 0 9 0 0 5 5

95 464 496 66 392 3 60 829

215 02 19 71 3 74 1,075 856

8 331 58 70 41 8 119 84

392 39 2 597 502 65 882 804

1 3 1 5 0 23 3 0

723 4,358 10,143 10,943 125 5,130 046 839

5 5 17 898 4 28 0 10

8 18 320 5 0 58 0

10,274 6,495 8,805 4,814 198 9,295 3,537 4,074

2,053 19,631 20,598 8,735 67 10,925 7,283 5,428

TOTAL ARRESTS BY COUNTY - 2016

17 24

15

18

38

68

12

27

48

22 11

10


TOTAL ARRESTS BY COUNTY - 2016don sex mouth set

7 0 24 9 10 0 2 15 2 0 7 0

2 2 7 1 5

382 2 186 156 178 6 13 40 31 2 81 10

697 22 304 379 343 38 59 22 51 52 2 21 41

361 26 215 303 264 19 195 96 67 57 8 6 31

47 79 971 1,924 1,694 85 034 73 32 49 35 028 266

26 7 22 41 2 43 17 6 16 7 3 34

43 138 64 2,840 525 232 602 10 4 751 355

2 0 0 1 0 0 0 0 0 0 2 1

743 61 74 14 92 725 383 136 311 584 9 1,371 30

2 0 8 4 6 2 5 8 2

56 7 5 3 6 9

59 98 218 146 37 17 77 20 86 6 03 12

4 4 27 9 4 2 6 6 9

258 17 220 132 141 7 58 43 3 6 141 1

80 44 129 282 326 62 20 5 61 94 93 198 59

30 40 334 279 327 93 97 290 3 49 29 203 22

0 1 0

90 39 2

3 060 980 2,807 978 5,869 791 3,454 4,303 424 41 446 943 405

22 0 0 3 2 0 0 22 2 0 0 0 0

158 48 178 818 5 4 103 59 676 6 60 57 69

746 418 57 2,184 62 58 632 05 260 795 66 026 306

49 22 22 51 875 5 369 1 13 50 20 40 15

665 78 74 754 19 38 599 912 9 205 74 401 34

0 0 8 8 7 3 3 0 1 0

642 832 4,765 09 9,860 840 5,686 642 135 2,861 030 58 196

5 0 118 6 92 7 10 2 8 7 0 53 0

48 1 290 1 46 16 575 1 43 1 0

15 572 676 11,800 7,169 563 919 3,867 784 080 5,861 2,826 401 2,673

8 315 814 13,564 20,009 88 1,151 469 066 490 6,675 178 5 028

23 42

69

21

51

88

28

27

55

39

68

42

12

90

29

58

81

28

18

40

8

15

52

11

48

74

99

16

15

35

10

14

43

94

49


ADULT ARRESTS BY COUNTY - 2016ton May land cester

6 7 9 33 2 9 47 3

2 7

85 57 101 44 7 85 52 60

196 84 211 696 1 186 969 111

169 28 205 37 96 188 6 236

095 963 1,057 21 357 989 351 792

18 28 3 5 5 5 6 9

581 889 22 31 585 495 250 32

0 2 0 2 0 0 2

012 464 1,044 54 11 73 2,237 960

6 8 7 4 4 6

3 51 4 53 5 19 75 44

72 48 4 195 42 231 65

14 33 8 19 2 23 0

81 49 111 237 48 55 378 126

21 3 276 72 113 397 121

12 205 77 338 49 135 495 107

104 62 16 96 3 16 119 4

35 81 60 93 5 20 25 0

856 5,183 3,188 5,461 1,052 1,309 6,338 2 12

279 50 0 9 0 0 5 5

795 459 493 64 390 22 9 827

211 1,886 513 68 592 767 1,072 855

9 133 28 54 637 3 73 76

40 617 8 409 461 277 797 705

1 2 1 4 0 23 3 0

655 4,051 926 10,719 3,061 5,065 9,798 740

760 5,167 8,039 2,462 6,772 8,848 2,132 3,586

1,341 8,056 9,661 5,993 7,357 10,343 5,382 4,818

12 16 55

11

23 11


ADULT ARRESTS BY COUNTY - 2016don sex mouth set

7 0 20 9 10 0 2 1 2 0 7 0

16 1 35 26 11 17 12 5 0 13 15

311 2 44 23 116 50 4 54 28 23 2 134 7

644 1 9 32 312 125 38 20 42 42 7 273 7

311 24 72 55 234 14 171 30 5 53 9 147 22

1,126 71 875 670 1,461 775 975 955 216 6 7 955 249

22 7 10 28 17 8 15 13 5 3 34 6

437 26 535 443 161 119 477 1 359 14 20 565 322

2 0 0 0 0 0 0 0 0 2 1

645 9 1,032 32 90 83 04 22 262 52 319 16

0 3 4 4 2 4 0 5 5 2

7 5 0 5 9

156 96 209 2 131 114 74 85 46 101 12

4 9 4 2 6 6 7

204 16 67 117 130 0 55 9 3 1 1 2 1

248 33 94 34 64 21 2 5 55 3 57 178 54

268 38 279 228 53 77 82 42 29 37 4 177

0 1 0

87 88 32 76 5 36 83 2 6 10 42

916 921 670 3,720 5,524 2,580 3,261 4,026 400 50 409 729 60

4 0 0 0 2 0 0 22 2 0 0 0 0

153 48 177 818 75 24 101 4 676 5 59 56

743 16 55 2,173 240 48 1,617 00 260 791 61 019 304

29 15 117 43 690 93 12 6 11 34 9 33 3

582 74 29 620 522 192 557 745 2 167 63 367 26

3 0 0 8 4 7 2 3 0 1 0

483 10 4,612 36 9,727 714 576 521 079 2,762 985 6,534 169

4,681 544 0,857 6,341 378 9,326 275 43 2,900 486 625 827 569

7,118 670 2,392 784 39 10,445 4,752 260 259 200 2,945 392 2,891

20

56

23

67

20

51

14

52

39

66

85

28

58

27

25

18

48

11

47

74 15

42

93


JUVENILE ARRESTS BY COUNTY - 2016ton May land cester

0 0 0 5 0 3 1 0

5 2 2 0 4 3 0

1 16 3 57 2 10 146 5

1 24 37 80 2 8 100 23

33 3 33 5 16 7 82 29

18 66 75 186 5 62 156 53

2 4 1 1 8 2

198 47 171 390 35 4 2

0 0 0 0 0 0 0 0

61 20 127 13 37 10 152 64

2 7 2 4 0 3 1 3

0 2 6 3 1 0 7 0

0 3 4 3 6 3

0 0 0 3 0 0 0 0

16 16 8 66 4 103 3

34 79 36 57 12 28 31

25 37 26 68 16 8 2 20

0 6 0 0 0 0 0 0

2 9 3 7 2 3

159 74 233 271 127 63 83 132

0 0 0 0 0 0 0

0 5 3 2 2 1 1 2

4 3 1 3

98 30 16 4 46 8

2 22 24 188 41 8 85 99

0 1 0 1 0 0 0

68 307 17 4 64 65 48 99

5 5 17 898 4 28 0 10

8 18 20 5 0 5 0

514 28 766 352 6 47 405 88

75 937 742 10 582 01 610

20

7

16

11

13

12

0


JUVENILE ARRESTS BY COUNTY - 2016don sex mouth set

0 0 4 0 0 0 0 0 0 0 0 0 0

7 1 7 3 3 1 3 0 0 0

1 0 42 33 62 6 59 12 8 0 7 3

1 9 5

4 9

121 8 96 4 33 81 59 118 16 73 8 73 17

4 0 7 2 8 3 2 0 0 0

306 12 29 397 64 3 25 6 51 0 2 18 33

0 0 0 0 0 0 0 0 0 0 0 0 0

98 22 42 2 02 42 9 14 49 32 6 5 4

7 0 2 3 4 2 2 3 5 3 0

0 0 2 3 5 1 4 1 0 3 1 0

3 0 2 9 4 6 3 1 1 0

1 0 1 0 1 2 0 0 0 0 0 2 0

1 1 0 5 2 0

32 11 35 48 2 1 38 52 6 11 36 20 5

2 4 5 1

0 0 0 2 0 0 0 0 0 0 0 1 0

3 0 5 0 9 7 0

14 59 137 58 45 11 193 277 4 91 37 4 45

8 0 0 3 0 0 0 0 0 0 0 0 0

5 0 0 0 0 2 0 1 1 1 0

3 2 22 5 5 0 7 2

20 7 8 185 64 57 5 2 6 1 2

7 3 8

3 0 0 0 4 0 0 0 0 0 0

59 53 173 33 6 10 1 6 99 4 124 7

5 0 118 6 92 7 10 2 8 7 0 53 0

48 1 90 1 46 16 575 1 4 1 0

891 132 943 828 85 593 592 441 18 375 201 574 04

97 144 172 225 49 0 717 806 31 475 33 760 37

53

50

54

62

83

25

43

12

53

55

45

47

48

13

15

51

10

11

134

31

30

74

97

13

5

10

46

21

24

15

42

12

102

66

14

48

16

10

10

17

10

12

38

9

1

8

18

19

26


COMPARATIVE ARRESTS BY COUNTY 2015/2016

COUNTY2015TOTAL

2016TOTAL

PERCENT CHANGE

2016RATE PER 1,000

INHABITANTS

12,05311,696 43.9

19,63120,491 20.9

20,59819,618 45.8

28,73527,186 56.2

7,8677,822 83.0

10,9259,967 70.1

27,28326,123 34.2

15,42814,087 52.9

18,31517,468 27.1

2,8142,580 22.4

13,56414,804 36.5

20,00919,526 24.1

26,08826,058 41.5

11,15110,440 22.3

15,46915,965 26.3

16,06616,277 31.4

3,4903,916 54.4

6,6757,299 20.0

3,1783,364 22.1

16,15216,172 29.1

Atlantic

Bergen

Burlington

Camden

Cape May

Cumberland

Essex

Gloucester

Hudson

Hunterdon

Mercer

Middlesex

Monmouth

Morris

Ocean

Passaic

Salem

Somerset

Sussex

Union

Warren 3,0283,493 28.3

3

-4

5

6

1

10

4

10

5

9

-8

2

*

10

-3

-1

-11

-9

-6

*

-13


ADULT AND JUVENILE ARRESTS BY COUNTY MALE/FEMALE - 2016

864 4,189 341 4,000 23 189

4 998 4,633 3 818 238 180 95

3 578 7,020 978 683 600 37

20,553 8,182 8,665 7,328 1,888 54

667 200 300 057 67 43

776 4,149 6,383 960 3 189

1 011 6,272 574 808 437 64

1 107 4,321 10,647 4,171 460 50

5 381 34 4 489 29 892 305

706 1,108 609 1,061 7 47

9,362 202 8,564 3,828 98 74

638 371 726 5,058 912 13

677 11 571 6,968 06 43

976 3,175 7,476 969 00 206

0 896 573 0,366 386 530 187

340 726 11,085 175 255 551

200 290 2,073 186 2 104

4,929 746 4,598 602 331 4

7 131 1,901 044 46 87

780 72 12,140 252 64 120

1 951 0 1,862 029 89 48


COUNTY ARRESTS BY RACE - 2016

165 728 30 30

3,892 797 79 63

1,016 9,389 16 7

6,083 2,433 21 98

552 280 9 2

778 5,117 9 2

788 9,255 34 206

10,035 5,340 11 4

10,404 521 42 4

228 545 2 9

725 7,583 12 44

238 737 7 97

276 589 36 187

962 905 34 50

2,913 461 20 75

427 426 7

739 1,742 7

264 212 37 62

2,892 258 5 23

332 618 0 72

485 17 4 2


COUNTY ARRESTS BY RACE - 2016

801 391 8 21 64 37 2 9

2,694 484 72 06 198 13 7

10 548 928 15 70 468 461 7

5 038 10,764 19 045 669 2 26

124 200 9 24 28 0 0 2

496 818 9 20 82 299 0

7,396 769 33 84 92 486 1 22

689 5,077 10 42 46 63 1 0

624 7,122 36 36 80 399 6 2

106 524 2 8 22 1 0 1

354 6,799 12 227 71 84 0 17

476 328 31 4 762 09 6 48

354 970 34 181 22 9 6

8,366 810 32 237 596 95 2 3

356 302 20 74 557 59 0 1

259 4,810 23 68 68 616 11 11

653 597 7 86 45 0 0

3,993 021 3 52 271 191 3 0

,712 07 5 2 180 51 0 2

968 229 0 65 364 389 0 7

379 6 4 22 06 31 0 0


POLICE DISPOSITION OF JUVENILES TAKEN INTO CUSTODY BY COUNTY - 2016

170 94 0 8 0

3.9 9.4 0 5.61 1

598 967 1 2 7 1,57538.0 1 4 4

177 751 0 3 6 9378 9 80.1 0 63

491 29 2 2 18 2,7424.4 4 0.1 7

36 65 7 0 2 51026.7 71.6 1 4 0.40

2 495 0 1 4 5825 1 0 72

31 154 0 10 6 1,9018.5 0.7 0 35

3 67 0 0 4 6102.8 6 0 7

74 715 1 5 1,19739.6 9 7 41

47 8 6 1 1442.9 5 4.2 7

589 557 0 4 2 1,17250.3 47.5 20

87 929 0 1 8 1,22523.4 75.8 0 71


POLICE DISPOSITION OF JUVENILES TAKEN INTO CUSTODY BY COUNTY - 2016

439 1,093 1 2 4 1,54928.3 70 6 0.91 1

200 489 0 0 17 70628.3 9.3 0 2.40.0

1 49 1 0 6 7175 5 801

873 907 6 1 1,80648.3 50.2 9 1

2 17 0 0 2 2315.2 3.9 0 0 90

94 271 68 37 47519.8 7.1 4 3 1 17.8

34 98 0 0 2334 6 85.0 0

13 538 3 5 7608.0 0.8 74

25 112 0 0 0 13718.2 81.8 0

030 2,528 5 97 1 19,9215.3 2.9 5


0.0


MANSLAUGHTERDefinition:

The unlawful killing of a human being by another through gross negligence. Arrests relating to traffic fatalities are included.

SIMPLE ASSAULTDefinition:

Simple assault, as defined under the New Jersey Uniform Crime Reporting System, is an assault or an attempted assault where no weapon is used and which does not result in serious or aggravated injury to the victim.

ARREST SUMMARY FOR NON-INDEX OFFENSES

ARSONDefinition:

Under this program, arson is defined as the willful or malicious burning, or attempting to burn, with or without intent to defraud; a dwelling, house, building, ship or vessel, motor vehicle or aircraft, contents of building, personal property of another, etc.

There were 186 arrests for arson, an increase of 7 percent compared to 2015.

Adults accounted for 65 percent and juveniles accounted for 35 percent of the arrests.

Males accounted for 80 percent and females 20 percent of the arrests.

Sixty-six percent of persons arrested in 2016 were white, 31 percent were black, and 3 percent were other races.

The Hispanic ethnic origin accounted for 25 percent of the arrests and 75 percent were non-Hispanic.

There were 22,856 arrests for simple assault, an increase of 2 percent compared to 2015.



Sixty percent of persons arrested in 2016 were white, 37 percent were black, and 3 percent were other races.


There were 14 arrests for manslaughter, an increase of 40 percent compared to 2015.



Seventy-one percent of persons arrested in 2016 were white, 29 percent were black.




FORGERY AND COUNTERFEITINGDefinition:

The definition of forgery and counterfeiting is the making, altering, uttering or possessing or attempting to make, alter, utter or possess, with intent to defraud, anything false which is made to appear true.

EMBEZZLEMENTDefinition:

The definition of embezzlement is the misappropriation or misapplication of money or property entrusted to one`s care, custody or control.

FRAUDDefinition:

In Uniform Crime Reporting, fraud is the fraudulent conversion and obtaining money or property by false pretenses. This includes bad checks, confidence games, etc., except forgeries and counterfeiting.

There were 324 arrests for embezzlement, an increase of 11 percent compared to 2015.



Fifty-four percent of persons arrested in 2016 were white, 43 percent were black, and 3 percent were other races.


There were 4,064 arrests for fraud, an increase of 7 percent compared to 2015.



Fifty percent of persons arrested in 2016 were white, 46 percent were black, and 4 percent were other races.


There were 1,091 arrests for forgery and counterfeiting, an increase of 1 percent compared to 2015.



Forty-nine percent of persons arrested in 2016 were white, 48 percent were black, and 3 percent were other races.



STOLEN PROPERTY(Buying, Receiving, Possessing)

Definition:

Included in this class are all offenses of buying, receiving, and possessing stolen property, as well as all attempts to commit any of these offenses.

CRIMINAL/MALICIOUS MISCHIEFDefinition:

Criminal/Malicious mischief is defined as the willful destruction, injury, disfigurement, or defacement of property without consent of the owner or persons having custody or control.

WEAPONS: CARRYING, POSSESSING, etc.Definition:

Under this program, this offense includes all the violations of regulations or statute controlling the carrying, using, possessing, furnishing, and manufacturing of deadly weapons or silencers, and attempts.

There were 4,143 arrests for weapons, an increase of 8 percent compared to 2015.



Forty-five percent of persons arrested in 2016 were white, 53 percent were black, and 2 percent were other races.


There were 3,945 arrests for criminal/malicious mischief, a decrease of 2 percent compared to 2015.



Sixty-three percent of persons arrested in 2016 were white, 36 percent were black, and 2 percent were other races.


There were 2,750 arrests for stolen property, an increase of 12 percent compared to 2015.



Forty-seven percent of persons arrested in 2016 were white, 52 percent were black, and 1 percent were other races.



68 — State & County Arrest Summary —


SEX OFFENSESDefinition:

Sex offenses, as defined under the New Jersey Uniform Crime Reporting Program, do not include rape, prostitution and commercialized vice. Included in this class are offenses against chastity, common decency, morals, and the like; attempts are also included.

PROSTITUTION AND COMMERCIALIZED VICEDefinition:

Prostitution and commercialized vice are sex offenses of a commercialized nature and attempts. Included in this category are prostitution, keeping a bawdy house, procuring or transporting women for immoral purposes, etc.

DRUG ABUSE VIOLATIONSDefinition:

Under the program, drug abuse violations are defined as the unlawful sale/manufacturing/possession/use of the below listed narcotics and drugs:

a. Opium or Cocaine and their derivatives (Morphine, Heroin, Codeine).b. Marijuana, Hashish, etc.c. Synthetic narcotics: manufactured narcotics which can cause true drug addiction (Demerol, Methadone).d. Other: dangerous non-narcotic drugs (Barbiturates, Amphetamines, Hallucinogens).

There were 866 arrests for prostitution and commercialized vice, an increase of 7 percent compared to 2015.



Fifty-five percent of persons arrested in 2016 were white, 31 percent were black, and 14 percent were other races.


There were 1,013 arrests for sex offenses (except forcible rape and prostitution), a decrease of 2 percent compared to 2015.



Sixty-nine percent of persons arrested in 2016 were white, 26 percent were black, and 5 percent were other races.


There were 63,040 arrests for drug abuse violations, an increase of 19 percent compared to 2015.


Thirty-one percent of persons arrested for drug abuse violations were age 21 and under.



2016 TOTAL ARRESTS FOR ALL DRUG ABUSE VIOLATIONS

3,343 2,410

21,540

35,747

63,04065

19 52,898

4

7


(Morphine, Heroin, Codeine)

Non A H

M H

m d a M


Sixty-two percent of persons arrested in 2016 were white, 37 percent were black and 1 percent were other races.

The Hispanic ethnic origin accounted for 19 percent of the arrests and 81 were non-Hispanic.

Arrests for possession/use of drugs accounted for 82 percent of the arrests, and the remaining 18 percent were for the sale/manufacturingof drugs.

Arrests for opium or cocaine and their derivatives represented 29 percent of the possession/use category and 59 percent of the sale/manufacturing category. Overall, they accounted for 34 percent of the total drug abuse violation arrests.


14,852

92632,295

632

2016 ANALYSIS OF DRUG ABUSE VIOLATIONS

62

29

51,705

6

22

5

42,243

688

84

452

711

0

6

5 6

10,655 1,335


(Morphine, Heroin, Codeine)

Non A H

M H

m d a M


STATE OF NEW JERSEYFIVE YEAR RECAPITULATION OF POSSESSION/USE -

SALE/MANUFACTURE DRUG ARRESTS2012 through 2016

2 3 4 5 6

6,872

3,468 8

7 8

69

11,406 11,319

13,186 9 8

4,326 5

766 7 9

2,115 5

41,393 43,920 43

0,058 6 19,425

7,794 7 290

463 5 2

484 1

52,799 3 8

6,688

3,452

711

484

11,335

14,852

32,295

2,632

1,926

51,705

21,540

35,747

3,343

2,410

63,040


COMPARATIVE DRUG ARRESTS BY COUNTY 2015/2016

6565 65

546 2 1,469 28 2,015 20

626 -3 4,931 10 5,557 8

349 26 3,072 40 3,421 38

1,102 4,630 5,732

174 1,005 1,179

190 1,182 1,372

1,684 37 4,937 6,621

187 31 2,857 3,044

1,157 -4 1,903

37

31

19

49

14 3,060

34

25

23

48

6

89 37 891 61 980 59

591 -2 2,216 11 2,807

657 2 3,321 38 3,978 30

561 9 5,308 26 5,869 2

225 19 2,566 31 2,791 30

796 28 2,658 20 3,454 22

1,198 17 3,105 5 4,303 8

79 30 345 5 424 8

102 -23 839 1 1 -

94 -27 352 8 46 2

845 1 3,098 24 943 18

49 11 356 6 405 7

21 11-18

18

-3

OFFENSES AGAINST FAMILY AND CHILDRENDefinition:

The definition of offenses against family and children is the nonsupport, neglect, desertion or abuse of family and children.

There were 8,902 arrests for offenses against family and children, a decrease of 9 percent compared to 2015.



Fifty-six percent of persons arrested in 2016 were white, 44 percent were black, 1 percent were other races.


GAMBLINGDefinition:

Gambling violations are defined as the promoting, permitting or engaging in illegal gambling.

There were 421 arrests reported for gambling, an increase of 20 percent compared to 2015.



Sixty percent of persons arrested in 2016 were white, 38 percent were black, and 2 percent were other races.


DRIVING UNDER THE INFLUENCEDefinition:

Under the New Jersey Crime Reporting Program, the offense of driving under the influence is defined as the driving or operating of any motor vehicle while drunk or under the influence of alcohol or narcotics.

There were 23,579 arrests reported for driving under the influence, a decrease of 1 percent compared to 2015.



Seventy-nine percent of persons arrested in 2016 were white, 18 percent were black, and 3 percent were other races.


74 — State & County Arrest Summary —



DISORDERLY CONDUCTDefinition:

Included in this category are all charges of committing a breach of the peace (disorderly person).

There were 13,021 arrests for disorderly conduct, an increase of less than one-half of one percent compared to 2015.



Fifty-eight percent of persons arrested in 2016 were white, 41 percent were black, and 1 percent were other races.


LIQUOR LAWSDefinition:

Included in this category are state or local liquor law violations, with the exception of ‘driving under the influence'.

There were 3,436 arrests for liquor laws, a decrease of 12 percent compared to 2015.



Eighty-nine percent of persons arrested in 2016 were white, 9 percent were black, and 2 percent were other races.


VAGRANCYDefinition:

In this category are persons charged with vagabondage, begging, loitering, etc.

There were 274 arrests for vagrancy, a decrease of 59 percent compared to 2015.



Fifty-five percent of persons arrested in 2016 were white, 41 percent were black, and 4 percent were other races.




RUNAWAYSDefinition:

For Uniform Crime Reporting purposes, this category is limited to juveniles taken into protective custody, under provisions of local statutes, as runaways.

There were 1,857 arrests for runaways, a decrease of 15 percent compared to 2015.


Forty percent of persons arrested in 2016 were white, and 59 percent were black and 1 percent were other races.


ALL OTHER OFFENSESDefinition:

Included in this category are all violations of state and local laws, except those offenses that can be categorized into one of the specific crime classifications previously mentioned.

There were 113,687 arrests for all other offenses (except traffic), a decrease of 2 percent compared to 2015.



Fifty-six percent of persons arrested in 2016 were white, 43 percent were black, and 1 percent were other races.


CURFEW AND LOITERING LAW VIOLATIONSDefinition:

In this category are juvenile arrests made for violations of local curfew or loitering ordinances.

There were 1,405 arrests for curfew and loitering law violations, a decrease of 1 percent compared to 2015.


Thirty-six percent of persons arrested in 2016 were white, and 63 percent were black, and 1 percent were other races.



— County Offense & Supplementary Data Overview — 77

Section FourSection FourCOUNTY OFFENSE& SUPPLEMENTARY DATAOVERVIEW

— County Offense & Supplementary Data Overview —78

INDEX OF CRIME BY COUNTY - 2015/2016

5 8,899 32.4

29.0

-10

2,094 5

6 7,870 1,973 5 1

-12 6 7

5 9,875 10.7 10.6

-1

687 7.2

6 930 2,783 8.0

1 4 3

5 044 15.6 16.2

4

692 24.0

6 300 651 2.6

4

5 361 30.1

28.8

-4

3,925 5.6

6 4,701 03 6.54 4

5 332 35.1

32.3-8

786 6

6 055 657 1 5 8 6 -9

5 7,388 47.1

41.5

-12

00 3.0

6 6,468 491 1

-12 1 *

5 1,840 27.5

25.0-9

234 4.8

6 19,924 61 16.49 11

5 316 21.7 19.7

-9

511 3.96 5,735 259 2 0

9 17 8

5 2,983 19.4

19.0

-2

45 20.4

6 824 599 3

1 -2 *

5 02 6.4

6.0

-6

201 5.1

6 758 159 1.0-5 -21 -16

5 89 21.8

21.8

*

94 9

6 114 705 1 0

1 *

l



20 7 515 47 444 090 2

1 65 399 499 337 5,294 55

5 14 -23 -9 7 13 3

12 79 09 46 454 200 5

0 64 62 68 113 569 44

-17 -19 25 5 -23 5 7

6 85 20 7 361 719 76

20 107 7 65 42 941 98

233 6 3 -3 8

38 122 06 21 2,705 553 716

57 49 726 7 591 8,823 928

50 22 * 4 -8 30

20 41 590 474 55

0 5

-10

14 38 32 257 49

2 6 2 10 1

76 45 80 447 859 16564 34 11 335 130 83

-100

6 1

-31 -16 - -14 8 -15 11

41 90 2,900 887 246 9,534 3,942

24 5 297 911 2,628 351 418

3 21 1 -2 1

8 47 66 243 574 621 60 50 03 003 92

17 9 -10 3 12 6

153 856 291 855 709 08736 78 192 657 859 1,072

-11 3 8 -11 2 1

2 6 2 541 512 7 32 69 16 2

100 250 -30 7 5 -12

20 92 40 749 510 466 712

6 107 87 75 92 486 54130 16 9 3 * -24

26200

-12

32

30-6



5 12,670 15.1

-7

885 2.8

6 11,789 555 1.77 -11 -5

5 0,214 16.2

15.2

2,868 8.1

6 9,579 621 7.4-6 9 -2

5 375 22 7.9

6 93 36 8.1 *

5 8,420 14.4

13.1

-9

1,885 22.4

6 7,697 623 1.1 9 -14 -6

5 043 21.7

20.3-6

819 6

6 0,366 780 7.26 -2 4

5 570 24.5

19.1

-22

684 43.6

6 229 488 39.722 29 -9

5 3,687 11.1 11.3

2

816 2.1

6 780 768 0.3 3 -6 -8

5 343 9.3

8.8-5

30 4.6

6 258 296 3.50 4

5 1,929 21.6 21.5

*

990 7

6 67 844 5.4 * -7 -8

5 431 13.4

-10

6 32.4

6 280 306 23.911 -34 -26

0,017 4,958

68,611 7,1315

6 20.2

17.92.0

1.8

6 -

l

14.0

-6

8.8 8.8

0

12.0

-11



11 74 73 9 100 578 65

9 104 468 03 1,725 273 607

41 -18 - 0 8 -9

68 41 7 419 7,598 51

-18

10

7 57 55 54 252 160 194

-3 -16 4 5 2 6 -23

2 31 8 70 613 296 75

0 44 112 704 183 80

-100 42 2 * 15 3

9 55 52 56 415 6,260 3

4 8 223 5,725 6

-56 0 * 14 9 2

3 63 853 15 63 060 066

19 79 61 22 1,690 5,718 77

7 25 1 - 8 6 1

22 6 07 54 01 38

5 1 60 86 307 699 51

150 -5 30 -20 -32 -22 34

29 0 611 735 5

5 32 103 6 04 96 54

0 0 12 8 -1 2 14

7 9 64 11 11 12 7 2 33 902 42

-29 22 -3 0 11 35

9 95 981 4 1,719 26 345

23 6 855 03 25 985 80

21 1 -13 -4 0 2 3

0 0 7 2 48 075 39

1 7 22 3 36 924 47 0 30 29 2 5 -14 21

78 452 8,932 153 5,198 1,594 310

69 1,362 9,743 425 27,890 06,059 763

2 7 8 - 0 4 -4


VIOLENT AND NONVIOLENT CRIME BY COUNTY 2015/2016

5 1,139 7,760 4.1 28.2

6 984 6,886

-14 -11

5 129 0.8 9.8

6 804 126

8 *

5 688 356 14.1

6 719 581

5 4

5 387 2,974 4.7 25.4

6 59 342

-1 5

5 13 119 2.2 32.8

6 7 2,838

2 9

5 917 471 5.8 41.2

6 820 5,648

-11 -13

5 18 6 722 6.4 21.0

6 4,527 5,397

2 -8

5 33 5,983 1.1 20.6

6 7 398

1 10

5 332 651 3.5 15.9

6 236 588

-1

5 4 748 0.4 6.0

6 1 07

6 6

5 401 688 3.8 18.0

6 95 19

7 -1

3.6

-12

25.1

-11

0.9 9.7

-112

1.5

1.6

7

14.6

4

4.6

2

24.2

-5

2.3

5

30.0

-9

5.3

-9

36.2

-12

5.7

-11

19.3

-8

1.2

9

18.5

-10

3.3

-6

15.7

-1

0.4

0

5.6

-7

4.0

5

17.8

-1

l


VIOLENT AND NONVIOLENT CRIME BY COUNTY 2015/2016

5 1,327 11,343 1.6 13.6

6 1,184 0,605

-11 7

5 946 9,268 1.5 14.7

6 973 8,606

3 7

5 291 084 0.6 8.2

6 326 67

12 *

5 72 7,848 1.0 13.4

6 3 124

* 9

5 1,854 189 3.6 18.0

6 81 8,485

1 8

5 7 393 2.8 21.8

6 2 057

-3 2

5 206 481 0.6 10.5

6 2 554

10 2

5 90 253 0.6 10.5

6 81 177

-10 6

5 39 9,890 3.7 17.9

6 1,877 10,090

-8 2

5 69 362 0.6 12.7

6 73 207

6 -11

1,910

8995

6

45,712 16.3

-4 5

38,161

2.6

l

1.4

-13

12.6

-7

1.5

0

13.7

-7

0.7

17

8.1

-1

1.0

0

12.1

-10

3.7

3

16.6

-8

2.7

-4

16.5

-24

0.7

17

10.7

2

0.6

0

8.2

-22

3.4

-8

18.2

2

0.7

17

11.3

-11

2.4

-8

15.4

-6


ANALYSIS OF ROBBERY, BURGLARY AND LARCENY BY COUNTY - 2016

TON MAY LAND CESTER

224 67 89 374 24 79 1,771 6 38

3 22 17 50 5 21 31 30 73

7 18 6 2 0 3 35 17 1

49 51 19 51 1 4 57 14 68

41 26 7 08 0 46 66 4 91

8 9 2 12 2 8 7 10 17

47 69 37 89 2 133 30 9 9

399 62 7 726 4 34 297 60 78

40 213 227 585 98 232 41 05 94

47 312 3 19 6 63 041 56 54

476 76 55 659 00 293 501 14 61

6 173 6 79 4 209 353 20 70

3 47 43 18 3 4 09 9 63

45 92 14 231 71 95 183 289 15

337 113 42 591 32 335 2,628 0 657

66 7 36 5 2 4 100 8 56

08 7 17 2 6 2 4 95

295 2,206 26 80 18 364 390 064 269

74 380 1,035 818 80 916 880 629 984

103 32 65 274 27 87 760 4 59

215 57 02 479 69 25 02 29 1,001

264 664 8 782 1 392 996 468 434

27 7 6 4 7 1 3 33

342 19 518 2,799 610 225 1,800 594 528

5,294 569 941 8,823 257 130 351 003 859


ANALYSIS OF ROBBERY, BURGLARY AND LARCENY BY COUNTY - 2016

MOUTH SETSEXHUNTERDON

190 2 9 19 0 574 13 5,393543891

7 9 2 4 7 9 0 56 2 40646

8 8 3 23 8 3 3 2 2871791

14 7 27 4 12 1 3 0 27228

58 12 3 65 24 1 63 3 90932584

2 2 6 8 5 0 0 12 0

6 42 31 35 7 6 3 4 2 1,043781

55 112 8 61 60 103 7 855 22 8 9324685877

269 8 02 26 58 05 4 65 43 3343277626

7 38 29 692 72 13 67 644 51 7,643623638

272 35 364 02 89 68 9 55 78 6,06321014

17 228 55 80 3 70 21 30 32 151986018

6 35 57 62 3 4 7 13 060464

80 10 3 28 32 34 19 52 19 58310219

252 704 223 1,690 307 04 33 25 36 5 1981,7259269

4 38 2 40 2 6 7 22800

18 17 28 33 1 6 59 6689 9

8 749 139 259 32 64 69 92 27 3,806177160 64

49 626 003 461 31 77 9 855 181 9547093575

14 56 1 287 9 7 330 25 3,7302858116

81 59 56 35 33 06 13 275 34 5,846474 2847

332 57 88 700 15 49 1 9 138 6,955379134

9 3 3 67 0 32 1 3063331

1,903 878 336 1,736 266 699 274 100 257 27,6078141090

160 183 5,725 5,718 699 96 902 985 924 1,5942738416


VALUES OF PROPERTY STOLEN/RECOVERED BY COUNTY - 2016

419,789 1,621,519 15,948 165,238 463,948 2,927,457 8,613,899

46,646 67,615 0 43,961 342,910 254,2831,755,415

3.3 4.2 6.6 4.5 8.720.4

705,958 230,297 53,930 626,349 9,757,284 6,789,9966,163,814

225,916 595,918 40 59,718 151,823 07,090140 505

8.4 9.6 1 41,5 2.8 3.47.3

9,034 2,099,779 2,925 214,377 694,893 069,114780 22

2 416 67,048 576 22,648 519,923 351,824987,435

1.5 2 4.5 10.6 56.4 11.520.3

1,459,818 288,614 7,500 65,898 6,096,013 5,795,071012,914

50,689 85,121 0 8 800 4,162,697 731,0025,118,309

3.5 3.7 4.3 8.3 1232.0

10,975 357,205 0 2,332 04,280 430,926525,718

11,249 42,267 0 056 34,000 21,795417,367

3.6 8 36.1 57.9 8.516.5

954,838 500,409 30,000 100,684 370,468 328,557284,956

4,961 8,962 0 24,791 877,469 269,1145,297

5 1 6 4.0 11.62.4

782,852 101,343 2,280 413,217 5,214,878 316,48738,831,057

1 615 69,928 1,500 115,403 4,993,644 747,2345,942,324

0.5 3 65.8 9 59,5 10.21.1

990,494 825,842 5,215 41,731 957,090 2,693,5606,613,932

32,816 1,453 903 58,784 1,158,638 501,683804,277

3.3 6.2 17.3 41.5 9.2 8.627.3

332,999 2,555,375 3,013 57,725 0,048,928 6,887,6302,285,670

38,252 27,391 6 47,817 4,911,215 294,1585,318,839

1.6 1.1 2 10.5 8.9 33.9

170,972 394,912 0 8,529 473,115 501,193548,721

2,085 315 0 027 275,001 40,570318,998

1.2 1 12.0 58.1 8.120.6

767,413 142,739 2,538 3,325 4,163,893 427,0660,696,974

17,508 7,874 38 49,479 2,860,110 60,067325,076

0 3 0.3 27.0 68.7 1031.1


VALUES OF PROPERTY STOLEN/RECOVERED BY COUNTY - 2016

4,252,348 3,649,099 39,639 502,081 8,637,527 0,228,28227,308,9762 73 102,271 0 9,260 3,839,473 167,1595,271,336

0.5 2.8 27.7 44.5 11.419.3

4,406,761 3,776,888 9,279 478,839 436,243 175,7756,283,7851,113,418 170,761 2,839 113,015 1,704,981 71,5863,576,600

25.3 4.5 30.6 3.6 49.6 11.32.0

25,312 5,091,211 25,802 48,348 4,264,016 3,239,95113,594,640 21,366 110,377 7,311 85,885 3,118,885 99,3233,643,147

2 2.2 28.3 57.9 73.1 226.8

550,926 2,042,439 2,350 799 2,870,223 208,636 9,853,37367,219 61,062 3 416 823,634 281,1072,258,473

4 3.0 1.5 2 63.5 8.822.9

2,338,267 1,917,445 4,515 1,007,053 7,875,553 4,004,188147,021417 92,372 0 09,806 4,382,763 387,9954,994,353

0 9 4.8 10.9 55.7 9.79

59,056 243,989 0 5,012 330,055 522,354261,9996,592 4,012 0 558 71,300 61,115143,577

4 1 6 1.1 21.6 11.711.4

648,915 3,384,481 10,140 65,484 2,846,683 466,71610,522,41915,766 22,924 0 759 1,614,500 376,5962,063,545

0 0.7 2 4 56.7 15.39.6

67,503 283,218 0 248 527,980 556,225549,1748,386 19,883 0 1,822 145,200 58,643233,934

5.0 7.0 12.8 27.5 10.515.1

2,517,501 780,547 2,000 535,854 9,032,728 5,274,05830,142,68869,107 38,931 0 54,222 1,945,597 273,95212,381,809

2.8 1.4 10.1 2.8 5.21.1

206,202 271,402 9 9,896 525,889 659,56373,8521 260 3,370 3,485 310,145 5,552405,812

6.4 2.3 0 5.2 59 924.2

4,657,933 4,558,753 237,974 745,019 4,991,687 77,504,33877,695,704

1,829,857 709,855 13,248 287,712 6,443,908 8,001,848286,428

8.6 5 3.8 5.6 2.4 7.8 10.3


Atlantic CountyVOLUME/RATE A total of 7,870 Crime Index Offenses were reported to the police of Atlantic County during 2016, a 12 percent decrease compared to 2015.

Violent crimes decreased 14 percent while the nonviolent crime category decreased 11 percent.

The crime rate for Atlantic County was recorded at 29.0 victims for every 1,000 inhabitants, a decrease of 10 percent compared to theprevious year.

Murder increased 5 percent from 20 in 2015 to 21 in 2016. Rape increased 14 percent from 57 in 2015 to 65 in 2016.

Robbery decreased 23 percent from 515 in 2015 to 399 in 2016. Burglary decreased 7 percent from 1,444 in 2015 to 1,337 in 2016.

Aggravated assault decreased 9 percent from 547 in 2015 to 499 in 2016.

The total value of property stolen in Atlantic County amounted to $8.6 million, of which 20 percent was recovered.

ARRESTS/CLEARANCES

There were 12,053 persons arrested during 2016, an increase of 3 percent compared to 2015.

Adult arrests increased 3 percent to 11,341 and juvenile arrests remained the same at 712 in 2016.

The total clearance rate for Index offenses was 25 percent; juveniles were responsible for 8 percent of those cases cleared.

Bergen CountyVOLUME/RATE A total of 9,930 Crime Index Offenses were reported to the police of Bergen County during 2016, one percent increase compared to 2015.

Violent crimes increased 8 percent while the nonviolent crime category decreased less than one-half of one percent.

The crime rate for Bergen County was recorded at 10.6 victims for every 1,000 inhabitants, a decrease of one percent compared to theprevious year.

Murder decreased 17 percent from 12 in 2015 to 10 in 2016. Rape decreased 19 percent from 79 in 2015 to 64 in 2016.

Robbery increased 25 percent from 209 in 2015 to 262 in 2016. Burglary decreased 23 percent from 1,454 in 2015 to 1,113 in 2016.

Aggravated assault increased 5 percent from 446 in 2015 to 468 in 2016.

The total value of property stolen in Bergen County amounted to $26.2, of which 27 percent was recovered.

ARRESTS/CLEARANCES There were 19,631 persons arrested during 2016, a decrease of 4 percent compared to 2015.

Adult arrests decreased 5 percent to 18,056 and juvenile arrests increased 1 percent to 1,575 in 2016.


Burlington CountyVOLUME/RATE A total of 7,300 Crime Index Offenses were reported to the police of Burlington County during 2016, a 4 percent increase compared to

2015.

Violent crimes increased 5 percent while the nonviolent crime category also increased 4 percent.

The crime rate for Burlington County was recorded at 16.2 victims for every 1,000 inhabitants, an increase of 4 percent compared to theprevious year.




The total value of property stolen in Burlington County amounted to $9.8 million, of which 20 percent was recovered.


Adult arrests increased 7 percent to 19,661 and juvenile arrests decreased 27 percent to 937 in 2016.



Camden CountyVOLUME/RATE A total of 14,701 Crime Index Offenses were reported to the police of Camden County during 2016, a 4 percent decrease compared to

2015.


The crime rate for Camden County was recorded at 28.8 victims for every 1,000 inhabitants, a decrease of 4 percent compared to theprevious year.



Aggravated assault increased less than one-half of one percent from 1,421 in 2015 to 1,427 in 2016.

The total value of property stolen in Camden County amounted to $16 million, of which 32 percent was recovered.

ARRESTS/CLEARANCES There were 28,735 persons arrested during 2016, an increase of 6 percent when compared to 2015.

Adult arrests increased 7 percent to 25,993 and juvenile arrests decreased 5 percent to 2,742 in 2016.


Cape May CountyVOLUME/RATE A total of 3,055 Crime Index Offenses were reported to the police of Cape May County during 2016, an 8 percent decrease compared to

2015.

Violent crimes increased 2 percent while the nonviolent crime category decreased 9 percent.

The crime rate for Cape May County was recorded at 32.3 victims for every 1,000 inhabitants, a decrease of 8 percent compared to theprevious year.

Murder decreased 100 percent from 1 in 2015 to 0 in 2016. Rape increased 25 percent from 20 in 2015 to 25 in 2016.

Robbery increased 6 percent from 51 in 2015 to 54 in 2016. Burglary decreased 10 percent from 590 in 2015 to 532 in 2016.


The total value of property stolen in Cape May County amounted to $2.5 million, of which 17 percent was recovered.


Adult arrests increased 1 percent to 7,357 and juvenile arrests increased 1 percent to 510 in 2016.


Cumberland CountyVOLUME/RATE A total of 6,468 Crime Index Offenses were reported to the police of Cumberland County during 2016, a 12 percent decrease compared

to 2015.


The crime rate for Cumberland County was recorded at 41.5 victims for every 1,000 inhabitants, a decrease of 12 percent compared tothe previous year.




The total value of property stolen in Cumberland County amounted to $5.3 million, of which 22 percent was recovered.

ARRESTS/CLEARANCES There were 10,925 persons arrested during 2016, an increase of 10 percent compared to 2015.




Essex CountyVOLUME/RATE A total of 19,924 Crime Index Offenses were reported to the police of Essex County during 2016, an 9 percent decrease compared to 2015.


The crime rate for Essex County was recorded at 25.0 victims for every 1,000 inhabitants, an decrease of 9 percent compared to the previousyear.


Robbery decreased 21 percent from 2,297 in 2015 to 2,297 in 2016. Burglary decreased 19 percent from 3,246 in 2015 to 2,628 in 2016.

Aggravated assault increased 1 percent from 1,887 in 2015 to 1,911 in 2016.

The total value of property stolen in Essex County amounted to $38.8 million, of which 41 percent was recovered.

ARRESTS/CLEARANCES

There were 27,283 persons arrested during 2016, a increase of 4 percent compared to 2015.



Gloucester CountyVOLUME/RATE A total of 5,735 Crime Index Offenses were reported to the police of Gloucester County during 2016, a 9 percent decrease compared to

2015.


The crime rate for Gloucester County was recorded at 19.7 victims for every 1,000 inhabitants, a decrease of 9 percent compared to theprevious year.




The total value of property stolen in Gloucester County amounted to $6.6 million, of which 27 percent was recovered.


Adult arrests increased 9 percent to 14,818 and juvenile arrests increased 15 percent to 610 in 2016.


Hudson CountyVOLUME/RATE A total of 12,824 Crime Index Offenses were reported to the police of Hudson County during 2016, a 1 percent decrease compared to 2015.

Violent crimes decreased 4 percent while the nonviolent crime category decreased one percent.

The crime rate for Hudson County was recorded at 19.0 victims for every 1,000 inhabitants, a decrease of 2 percent compared to theprevious year.



Aggravated assault decreased 8 percent from 1,291 in 2015 to 1,192 in 2016.

The total value of property stolen in Hudson County amounted to $22.3 million, of which 24 percent was recovered.





Hunterdon CountyVOLUME/RATE A total of 758 Crime Index Offenses were reported to the police of Hunterdon County during 2016, a 5 percent decrease compared to 2015. Violent crimes decreased 6 percent while the nonviolent crime category decreased 6 percent. The crime rate for Hunterdon County was recorded at 6.0 victims for every 1,000 inhabitants, a decrease of 6 percent compared to the

previous year. There were no murders committed in 2016. Rape increased 100 percent from 6 in 2015 to 12 in 2016. Robbery increased 250 percent from 2 in 2015 to 7 in 2016. Burglary decreased 7 percent from 182 in 2015 to 169 in 2016. Aggravated assault decreased 30 percent from 46 in 2015 to 32 in 2016. The total value of property stolen in Hunterdon County amounted to $1.5 million, of which 21 percent was recovered.

ARRESTS/CLEARANCES There were 2,814 persons arrested during 2016, an increase of 9 percent compared to 2015. Adult arrests increased 9 percent to 2,670 and juvenile arrests increased 7 percent to 144 in 2016. The total clearance rate for Index offenses was 21 percent; juveniles were responsible for 4 percent of those cases cleared.

Mercer CountyVOLUME/RATE A total of 8,114 Crime Index Offenses were reported to the police of Mercer County during 2016, an increase of less than one-half of

one percent compared to 2015.


The crime rate for Mercer County was recorded at 21.8 victims for every 1,000 inhabitants, no change compared to the previous year.


Robbery increased 9 percent from 540 in 2015 to 587 in 2016. Burglary increased 5 percent from 1,510 in 2015 to 1,592 in 2016.


The total value of property stolen in Mercer County amounted to $10.7 million, of which 31 percent was recovered.


Adult arrests decreased 9 percent to 12,392 and juvenile arrests increased 8 percent to 1,172 in 2016.


Middlesex CountyVOLUME/RATE A total of 11,789 Crime Index Offenses were reported to the police of Middlesex County during 2016, a 7 percent decrease compared

to 2015.


The crime rate for Middlesex County was recorded at 14.0 victims for every 1,000 inhabitants, a decrease of 7 percent compared to theprevious year.




The total value of property stolen in Middlesex County amounted to $27.3 million, of which 19 percent was recovered.





Monmouth CountyVOLUME/RATE A total of 9,579 Crime Index Offenses were reported to the police of Monmouth County during 2016, a 6 percent decrease compared to

2015.


The crime rate for Monmouth County was recorded at 15.2 victims for every 1,000 inhabitants, a decrease of 6 percent compared to theprevious year.




The total value of property stolen in Monmouth County amounted to $16.3 million, of which 22 percent was recovered.

ARRESTS/CLEARANCES There were 26,088 persons arrested during 2016, an increase of less than one-half of one percent compared to 2015.

Adult arrests decreased less than one-half of one percent to 24,539 and juvenile arrests increased 1 percent to 1,549 in 2016.


Morris CountyVOLUME/RATE A total of 4,393 Crime Index Offenses were reported to the police of Morris County during 2016, an increase of less than one-half of one percent

compared to 2015.

Violent crimes increased 12 percent while the nonviolent crime category decreased less than one-half of one percent.

The crime rate for Morris County was recorded at 8.8 victims for every 1,000 inhabitants, no change compared to the previous year.


Robbery increased 27 percent from 88 in 2015 to 112 in 2016. Burglary increased 15 percent from 613 in 2015 to 704 in 2016.

Aggravated assault remained the same at 170 in 2016.

The total value of property stolen in Morris County amounted to $13.6 million of which 27 percent was recovered.




Ocean CountyVOLUME/RATE A total of 7,697 Crime Index Offenses were reported to the police of Ocean County during 2016, a 9 percent decrease compared to 2015.

Violent crimes remained the same while the nonviolent crime category decreased 9 percent.

The crime rate for Ocean County was recorded at 13.1 victims for every 1,000 inhabitants, a decrease of 9 percent compared to the previousyear.

Murder decreased 56 percent from 9 in 2015 to 4 in 2016. Rape remained the same in 2016.


Aggravated assault remained the same at 356 in 2016.

The total value of property stolen in Ocean County amounted to $9.9 million, of which 23 percent was recovered.


Adult arrests decreased 2 percent to 14,752 and juvenile arrests decreased 22 percent to 717 in 2016.



Passaic CountyVOLUME/RATE A total of 10,366 Crime Index Offenses were reported to the police of Passaic County during 2016, a 6 percent decrease compared to 2015.


The crime rate for Passaic County was recorded at 20.3 victims for every 1,000 inhabitants, a decrease of 6 percent compared to theprevious year.




The total value of property stolen in Passaic County amounted to $17.1 million, of which 29 percent was recovered.


Adult arrests decreased 1 percent to 14,260 and juvenile arrests decreased 6 percent to 1,806 in 2016.


Salem CountyVOLUME/RATE A total of 1,229 Crime Index Offenses were reported to the police of Salem County during 2016, a 22 percent decrease compared to

2015.


The crime rate for Salem County was recorded at 19.1 victims for every 1,000 inhabitants, a decrease of 22 percent compared to theprevious year.

Murder increased 150 percent from 2 in 2015 to 5 in 2016. Rape decreased 5 percent from 22 in 2015 to 21 in 2016.



The total value of property stolen in Salem County amounted to $.1.3 million, of which 11 percent was recovered.

ARRESTS/CLEARANCES

There were 3,490 persons arrested during 2016, a decrease of 11 percent compared to 2015.



Somerset CountyVOLUME/RATE A total of 3,780 Crime Index Offenses were reported to the police of Somerset County during 2016, an 3 percent decrease compared to

2015.

Violent crimes increased 10 percent while the nonviolent crime category increased 2 percent.

The crime rate for Somerset County was recorded at 11.3 victims for every 1,000 inhabitants, an increase of 2 percent compared tothe previous year.

Murder remained the same in 2016. Rape increased 10 percent from 29 in 2015 to 32 in 2016.



The total value of property stolen in Somerset County amounted to $10.5 million, of which 20 percent was recovered.





Sussex CountyVOLUME/RATE A total of 1,258 Crime Index Offenses were reported to the police of Sussex County during 2016, a 6 percent decrease compared to 2015.


The crime rate for Sussex County was recorded at 8.8 victims for every 1,000 inhabitants, a decrease of 5 percent compared to the previousyear.

Murder remained the same in 2016. Rape decreased 29 percent from 17 in 2015 to 12 in 2016.

Robbery decreased 22 percent from 9 in 2015 to 7 in 2016. Burglary increased 10 percent from 211 in 2015 to 233 in 2016.


The total value of property stolen in Sussex County amounted to $15 million, of which 15 percent was recovered.


Adult arrests decreased 6 percent to 2,945 and juvenile arrests increased 3 percent to 233 in 2016.


Union CountyVOLUME/RATE A total of 11,967 Crime Index Offenses were reported to the police of Union County during 2016, an increase of less than one-half of one

percent decrease compared to 2015.

Violent crimes decreased 8 percent while the nonviolent crime category increased 2 percent.

The crime rate for Union County was recorded at 21.5 victims for every 1,000 inhabitants, a decrease of less than one-half of one percentcompared to the previous year.

Murder increased 21 percent from 19 in 2015 to 23 in 2016. Rape increased 1 percent from 95 to 96 in 2016.

Robbery decreased 13 percent from 981 in 2015 to 855 in 2016. Burglary increased less than one-half of one percent from 1,719 in2015 to 1,725 in 2016.


The total value of property stolen in Union County amounted to $30.1 million, of which 41 percent was recovered.ARRESTS/CLEARANCES There were 16,152 persons arrested during 2016, a decrease of less than one-half of one percent compared to 2015.



Warren CountyVOLUME/RATE A total of 1,280 Crime Index Offenses were reported to the police of Warren County during 2016 an 11 percent decrease compared to 2015.


The crime rate for Warren County was recorded at 12.0 victims for every 1,000 inhabitants, a decrease of 8 percent compared to the previousyear.

Murder increased 100 percent from 0 in 2015 to 1 in 2016. Rape decreased 30 percent from 10 in 2015 to 7 in 2016.



The total value of property stolen in Warren County amounted to $17 million, of which 24 percent was recovered.

ARRESTS/CLEARANCES

There were 3,028 persons arrested during 2016, a decrease of 13 percent compared to 2015.



— Index Offense Analysis — 95

Section FiveSection FiveINDEX OFFENSEANALYSIS� Population Groups�

�

Urban-Suburban-Rural MunicipalitiesColleges and Universities

CRIME INDEX FOR POPULATION GROUPS – 2016The presentation of crime statistics by population groups was made for the purpose of projecting, for consideration, the relative crime experience of communities of varying populations. Although the individual municipalities within the various groups may be geographically separated, their inclusion into a specific group was predicated by the similarity in population with the other municipalities within the group. Municipalities within the same group may differ widely when all factors are considered, but they do share the common bond of population size. The grouping of communities in this manner allows recognition of variances in the crime volumes, rates and clearances between the established groups.

Set forth below are the established municipal groupings as used in this section:

POPULATION GROUPSTOTALCRIMEINDEX

Murder Rape RobberyAggra-vated

AssaultBurglary Larceny-

Theft

MotorVehicleTheft

28,537 149 297 3,125 2,943 4,202 13,391 4,430

27.8 0.1 0.3 3.0 2.9 4.1 13.0 4.3

41,087 111 420 2,779 3,955 6,579 24,326 2,917

20.7 0.1 0.2 1.4 2.0 3.3 12.2 1.5

40,144 62 350 1,618 2,070 5,985 28,282 1,777

18.0 0.0 0.2 0.7 0.9 2.7 12.6 0.8

18,134 18 131 680 867 2,881 12,662 895

13.3 0.0 0.1 0.5 0.6 2.1 9.3 0.7

23,970 30 190 535 931 3,969 17,326 989

12.9 0.0 0.1 0.3 0.5 2.1 9.3 0.5

6,290 8 51 169 311 1,216 4,297 238

16.0 0.0 0.1 0.4 0.8 3.1 11.0 0.6

1,855 0 13 26 76 366 1,310 64

GROUP I6 Municipalities over 100,000

Population — 1,027,801Rate per 1,000 inhabitants

GROUP II30 Municipalities 50,000 - 100,000 Population — 1,986,870Rate per 1,000 inhabitants

GROUP III64 Municipalities 25,000-50,000 Population — 2,237,595Rate per 1,000 inhabitants

GROUP IV69 Municipalities 15,000-25,000 Population — 1,363,714Rate per 1,000 inhabitants

GROUP V204 Municipalities 5,000-15,000 Population — 1,856,158Rate per 1,000 inhabitants

GROUP VI111 Municipalities 2,000-5,000 Population — 392,390Rate per 1,000 inhabitants

GROUP VII81 Municipalities under 2,000 Population — 93,485Rate per 1,000 inhabitants 19.8 0.0 0.1 0.3 0.8 3.9 14.0 0.7

— Index Offense Analysis —96

COMPARATIVE CRIME RATES FOR POPULATION GROUPS

2016

C Group I - Six municipalities with populations over 100,000.

C Group II - Thirty municipalities with populations between 50,001 and 100,000.

C Group III - Sixty-four municipalities with populations between 25,001 and 50,000.

C Group IV - Sixty-nine municipalities with populations between 15,001 and 25,000.

C Group V - Two hundred and four municipalities with populations between 5,001 and 15,000.

C Group VI - One hundred and eleven municipalities with populations between 2,000 and 5,000.

C Group VII - Eighty-one municipalities with populations under 2,000.


URBAN – SUBURBAN – RURAL CRIME 5 YEAR COMPARISON

2012/2016 Summary Analysis

OFFENSESURBAN SUBURBAN RURAL

2012 2016 PercentChange 2012 2016 Percent

Change 2012 2016 PercentChange

Murder 331 310 44 51 12 17 42

Rape 620 904

-6

46 340 391

16

15 78 157 101

Robbery 9,574 7,322 1,552 1,374 258 236

Aggravated Assault 9,523 8,376 2,606 2,053 804 724

Burglary 23,657 14,050 14,325 8,606 4,402 2,542

Larceny-Theft 60,074 52,205 50,673 41,095 12,023 8,294

Motor Vehicle Theft 13,188 8,925

-24

-12

-41

-13

-32 2,708 1,968

-11

-21

-40

-19

-27 575 417

-9

-10

-42

-31

-27

Total Crime Index 116,967 92,092 -21 72,248 55,538 -23 18,152 12,387 -32

Violent Crime 20,048 16,912 -16 4,542 3,869 -15 1,152 1,134 -2

Nonviolent Crime 96,919 75,180 -22 67,706 51,669 -24 17,000 11,253 -34*Less than one-half of one percent.

The character of some municipalities has changed due to the updating of Urban, Suburban and Rural classifications.

• Comparing 2016 to 2012, Rural communities experienced the largest percentage change in Index offenses, a decrease of 32 percent.

• Index crimes in Suburban communities decreased 23 percent, while Urban communities decreased 21 percent.

• Comparing 2016 to 2012, Suburban communities experienced a decrease of 24 percent in non-violent crimes.

• Suburban communities experienced a 15 percent decrease in violent crimes, and Rural communities decreased 2 percent.

• Comparing 2016 to 2012, Rural communities experienced the largest percentage change in nonviolent crimes, a decrease of 34percent.

• Violent crimes in Suburban communities decreased 15 percent, while Urban communities decreased 16 percent.


URBANNUMBER – RATE – DISTRIBUTION

2015/2016Municipalities: 155 Population: 3,957,430

OFFENSESNUMBER CRIME RATE/1,000 PERCENT OF STATE TOTAL



313 310 0.08 0.08 0 84.8 82.0

849 904

-1

6 0.22 0.23 5 62.3 62.3

8,128 7,322 2.06 1.85 83.4 82.0

8,455 8,376 2.14 2.12 74.0 75.1

15,644 14,050 3.97 3.55 56.1 55.8

54,052 52,205 13.71 13.19 51.0 51.4

Murder

Rape

Robbery

Aggravated

Assault Burglary

Larceny-Theft

Motor Vehicle Theft 9,356 8,925

-10

-1

-10

-3

-5 2.37 2.26

-10

-1

-11

-4

-5 79.5 78.9

-3

0

-2

1

-1

1

-1

Total Crime Index 96,797 92,092 -5 24.54 23.26 -5 57.4 57.5 *

Violent Crime 17,745 16,912 -5 4.50 4.27 -5 77.5 77.2 *Nonviolent Crime 79,052 75,180 -5 21.06 19.00 -10 54.3 54.4 *

* Less than one-half of one percent.

• There were 92,092 offenses reported in municipalities of Urban character during 2016, this represents a decrease of 5 percentcompared to 2015.

• Fifty-seven percent of all Index crimes occurred in Urban areas.

• Violent crime in Urban communities decreased 5 percent and accounted for 77 percent of the state’s total violent crime.

• Nonviolent crime in Urban communities decreased 5 percent and accounted for 54 percent of the state’s total nonviolent crime.

• The crime rate in Urban communities decreased 5 percent to 23.26 victims for every 1,000 persons.


SUBURBANNUMBER – RATE – DISTRIBUTION





Murder 44 51 16 0.01 0.01 0 11.9 13.5 13

Rape 356 391 10 0.09 0.10 11 26.1 26.9

Robbery 1,346 1,374 0.34 0.35 13.8 15.4

Aggravated Assault 2,259 2,053

2

-9 0.57 0.52

3

-9 19.8 18.4

Burglary 9,485 8,606 2.40 2.17 34.0 34.1

Larceny-Theft 42,583 41,095 10.78 10.38 40.2 40.4

Motor Vehicle Theft 2,044 1,968 0.52 0.50 17.4 17.4

Total Crime Index 58,117 55,538 -4 14.71 14.03 -5 34.5 34.7 1

Violent Crime 4,005 3,869 -3 1.01 .98 -3 17.5 17.6 1

Nonviolent Crime 54,112 51,669 -5 13.70 13.05 -5 37.1 37.4 1* Less than one-half of one percent.

• Suburban Index offenses decreased 4 percent in 2016.

• Thirty-five percent of reported Index crimes occurred in Suburban communities.

• Violent crime decreased 3 percent and represented 18 percent of the state’s violent crime total.

• Nonviolent crime decreased 5 percent and accounted for 37 percent of the nonviolent crime in the state.

• The crime rate was calculated at 14.03 victims per 1,000 inhabitants; a decrease of 5 percent compared to 2015.


3

12

-7

*

*

0

-9

-3

-4

-10

-4

-4

RURALNUMBER – RATE – DISTRIBUTION





Murder 12 17 0.01 0.02 3.3 4.5

Rape 157 157 0.15 0.15 11.5 10.8

Robbery 269 236 0.26 0.23 2.8 2.7

Aggravated Assault 711 724 0.68 0.69 6.2 6.5

Burglary 2,761 2,542 2.64 2.44 9.9 10.1

Larceny-Theft 9,424 8,294 9.02 7.95 8.9 8.2

Motor Vehicle Theft 363 417 0.35 0.40 3.1 3.7

Total Crime Index 13,697 12,387 -10 13.11 11.88 -9 8.1 7.8 -4

Violent Crime 1,149 1,134 -1 1.10 1.09 -1 5.0 5.2 4

Nonviolent Crime 12,548 11,253 -10 12.01 10.79 -10 8.6 8.1 -6* Less than one-half of one percent.

• In 2016 there were 12,387 Index crimes reported in Rural municipalities, a 10 percent decrease compared to2015.

• Eight percent of the state’s Index crime occurred in Rural communities.

• Violent crime decreased 1 percent and accounted for 5 percent of the state’s total violent crime.

• Nonviolent crime in Rural communities accounted for 8 percent of the nonviolent crime in the state.

• The crime rate in Rural communities decreased 9 percent to 11.88 victims per 1,000 inhabitants.


42

0

-12

2

-8-12

15

100

0

-12

1

-8

-12

14

36

-6-45

2

-819

102 — Index Offense Analysis —

UNIVERSITY AND COLLEGE OFFENSE DATA - 2016 University or College

Total Crime Index

Violent Crime

Non-Violent Crime

Murder Rape Robbery Aggravated Assault Burglary Larceny-

Theft

Motor Vehicle Theft

Arson *

Brookdale Community College 23 0 23 0 0 0 0 1 22 0 0 Essex County College 49 1 48 0 0 1 0 1 47 0 0 Cedar Grove Twp. 3 0 3 0 0 0 0 0 3 0 0 Newark City 46 1 45 0 0 1 0 1 44 0 0 West Caldwell Borough 0 0 0 0 0 0 0 0 0 0 0 Kean University of New Jersey 129 1 128 0 0 1 0 6 119 3 0 Elizabeth City 0 0 0 0 0 0 0 0 0 0 0 Hillside Township 7 0 7 0 0 0 0 1 6 0 0 Union Township 122 1 121 0 0 1 0 5 113 3 0 Middlesex County College 17 0 17 0 0 0 0 0 17 0 0 Monmouth University 46 1 45 0 0 1 0 0 42 3 0 Long Branch City 0 0 0 0 0 0 0 0 0 0 0 Ocean Township 0 0 0 0 0 0 0 0 0 0 0 West Long Branch Borough 46 1 45 0 0 1 0 0 42 3 0 Montclair State University 87 3 84 0 0 0 3 1 82 1 0 Clifton City 2 0 2 0 0 0 0 0 2 0 0 Little Falls Township 77 3 74 0 0 0 3 1 72 1 0 Montclair Town 8 0 8 0 0 0 0 0 8 0 0 NJ Institute of Technology 107 6 101 0 3 3 0 8 89 4 0 Princeton University 282 8 274 0 3 5 0 28 232 14 0 Stockton University 41 2 39 0 2 0 0 0 39 0 0 Rowan University 218 8 210 0 6 0 2 65 144 1 0 Camden City 1 0 1 0 0 0 0 0 1 0 0 Glassboro Boro 211 7 204 0 5 0 2 64 139 1 0 Harrison Twp. 1 1 0 0 1 0 0 0 0 0 0 Mantua Twp. 1 0 1 0 0 0 0 1 0 0 0 Stratford Boro 4 0 4 0 0 0 0 0 4 0 0 Rutgers University 924 46 878 0 12 12 22 73 798 7 1 Camden Campus 87 7 80 0 0 3 4 4 74 2 0 New Brunswick Campus 571 29 542 0 11 2 16 60 482 0 1 East Brunswick Township 0 0 0 0 0 0 0 0 0 0 0 Edison Township 1 0 1 0 0 0 0 0 1 0 0 Highland Park Borough 0 0 0 0 0 0 0 0 0 0 0 New Brunswick Township 365 15 350 0 6 1 8 33 317 0 1 North Brunswick Township 4 1 3 0 0 1 0 0 3 0 0 Piscataway Township 201 13 188 0 5 0 8 27 161 0 0 Newark Campus 266 10 256 0 1 7 2 9 242 5 0 Stevens Institute of Technology 17 0 17 0 0 0 0 1 16 0 0 The College of New Jersey 95 1 94 0 1 0 0 24 64 6 1 William Paterson University 63 0 63 0 0 0 0 4 59 0 0 Haledon Borough 3 0 3 0 0 0 0 0 3 0 0 North Haledon Borough 4 0 4 0 0 0 0 0 4 0 0 Wayne Township 56 0 56 0 0 0 0 4 52 0 0 Total University/College 2,098 77 2,021 0 27 23 27 212 1,770 39 2

*Arson is not tabulated into the crime index offense total.

Section SixSection SixCRIMEIN THE CITIES

103— Crime in the Cities —

C Crime in the Cities C104

CRIME IN THE CITIES This section deals with serious crimes reported in the large urban cities of the state. These cities represent 19 percent of the population and historically account for one third of the reported Crime Index of the state.

This analysis involves the latest ten-year period 2007-2016 and endeavors further to identify crime trends in these urban areas.

The cities included in this analysis were initially categorized as urban municipalities (i.e., densely populated with extensive development) by the New Jersey Department of Community Affairs, Division of State and Regional Planning, Bureau of Statewide Planning, and will continue to be used for comparative purposes.

The criteria used in the selection of these cities were (1) classified as urban character and (2) have a population of 50,000 or more

inhabitants. For further comparative analysis, the urban cities were subdivided into two distinct groupings.

Group number one consisted of the state’s six largest urban centers with populations of 80,000 or over and is categorized as "Major

Urban".

The second group included the "Major Urban" and the additional urban communities with populations of 50,000 or more inhabitants, and is referred to as the "Urban 15".

"MAJOR URBAN"$ Camden City

$ Elizabeth City

$ Jersey City

$ Newark City

$ Paterson City

$ Trenton City

"URBAN 15"

$ Bayonne City

$ Camden City

$ Clifton City

$ Toms River Twp.

$ East Orange City

$ Elizabeth City

$ Irvington Town

$ Jersey City

$ Newark City

$ Passaic City

$ Paterson City

$ Trenton City

$ Union City

$ Vineland City

$ Woodbridge Twp.

The accompanying table reflects percent changes in the state’s "Major Urban" and "Urban 15" municipalities Crime Index for the years 2007/2016.

C Crime in the Cities C 105

NEW JERSEY

STATE AND URBAN CRIME INDEX OFFENSES Percent

Change 200

7/2016

"URBAN 15"

Population

8,724,560 961,319

"MAJOR URBA N"

1,609,312 8,958,013 983,339 1,649,494

3 2 2

TOTAL CRIME INDEX

220,798 45,805 68,324 160,017 33,251 48,104

-28 -27 -30

Violent Crime

28,526 10,335 14,324 21,915 9,032 11,429

-23 -13 -20

Nonviolent Crime

192,272 35,470 54,000 138,102 24,219 36,675

Murder

-32222216

-28381378

-1 -3

-32264232-12

Rape

1,029 240 360 1,452 431 530

41 80 47

Robbery

12,562 5,099 6,941 8,932 3,902 4,970

-29 -23 -2814,554 4,774 6,759 11,153 4,483 5,697

-23 -6 -1637,234 7,690 11,749 25,198 5,359 7,550

-32 -30 -36133,094 18,339 30,168 101,594 13,730 22,760

-24 -25 -2535,158 9,441 17,212 11,310 5,130 6,365

-68 -46 -63* Less than one-half of one percent.

Percent Change $ During the ten-year period 2007/2016, the Crime Index in New Jersey has decreased 28 percent, while the the six "Major Urban"

cities decreased 27 percent and the "Urban 15" cities decreased 30 percent.

$ Violent crime in the state decreased 23 percent, the six "Major Urban" cities experienced a decrease of 13 percent, while the"Urban 15" cities decreased 20 percent.

$ Nonviolent crime in the state decreased 28 percent, the six "Major Urban" decreased 32 percent, and the "Urban 15" citiesdecreased 32 percent.

20072016Percent Change20072016Percent Change20072016Percent Change

20072016Percent Change20072016

Percent Change

20072016

Percent Change

20072016

Percent Change

20072016

Percent ChangeAggravated Assault

20072016

Percent ChangeBurglary

Larceny-Theft

Motor Vehicle Theft

20072016

Percent Change

20072016

Percent Change

C Crime in the Cities C106

CRIME IN THE CITIES TEN YEAR SUMMARY

COMPARATIVE CRIME INDEX DISTRIBUTION FOR STATE AND URBAN CITIES 2007-2016

NEW JERSEY MAJOR URBAN URBAN 15 CRIME INDEX TOTAL 1,990,654 410,552 597,452

Percent Distribution 20.6 30.0257,274 103,536 133,409Violent Crime

Percent Distribution 40.2 51.9

Nonviolent Crime 1,733,380 307,036 464,043


Murder 3,718 2,149 2,483


Rape 10,812 2,872 3,817


113,606 51,822 65,317

45.6 57.5 129,138 46,673 61,792

36.1 47.8

359,303 74,228 107,514

20.7 29.9

1,218,606 162,135 268,591

13.3 22.0 155,471 70,673 87,848


Distribution: $ Six major urban cities - Camden, Newark, Jersey City, Trenton, Paterson and Elizabeth collectively represent 11 percent

of New Jersey's total population. These same urban centers, during the period 2007 through 2016 accounted for 21percent of the state’s total crime.

$ "Major Urban" cities from 2007 through 2016 accounted for 40 percent of all violent crime and 18 percent of the nonviolentcrimes in the entire state.

$ The "Urban 15" municipalities represent 18 percent of the state’s total population.

$ "Urban 15" municipalities accounted for 30 percent of New Jersey's total Crime Index. Violent crime was 52 percent of thestate total, while nonviolent crime was 27 percent of the state total during this ten-year period.

$ Sixty-seven percent of all reported murders occurred in the "Urban 15" cities during this ten-year period.

Robbery

Percent Distribution

Aggravated Assault


Burglary

Larceny-Theft

Percent Distribution Motor Vehicle Theft


STREET CRIMEThere has never been a clear-cut definition for street crime within the criminal justice system. The nation’s clearinghouse for the collectionand dissemination of criminal statistics, the Federal Bureau of Investigation, has no criteria in the categorization of specific crimes to bedesignated or defined as “street crimes.” More and more, this media term has been confused with the violent crime group of murder, rape,robbery, and aggravated assault.

Although any particular crime can and does occur on the street, this analysis, because of reporting constraints within the Uniform CrimeReporting System, is limited to defining street crimes as those offenses which occur, or are most likely to occur, on streets, highways,parking lots, etc.. These crimes include highway robbery, purse-snatching, theft from autos, theft of auto parts and accessories, theft ofbicycles, and motor vehicle thefts. All are crimes against property and only one, highway robbery, falls in the violent crime group.

• During the ten-year period 2007-2016, the “Urban 15” cities accounted for 39.5 percent of the street crimes in the state.

• Sixty-nine percent of all highway robberies in the state occurred in the “Urban 15” cities during the ten-year period.

• Fifty-seven percent of all motor vehicle thefts during the survey span occurred in these 15 urban municipalities.

• Twenty-seven percent of all purse-snatchings during the survey span were perpetrated in the “Urban 15” cities.

• In 2016, motor vehicle theft and theft of motor vehicle parts and accessories were at their lowest levels in this ten-yearperiod.

• The accompanying table reflects percent distribution of street crime for the “Urban 15” cities for the years 2007-2016.

STREET CRIME TRENDS“URBAN FIFTEEN” MUNICIPALITIES

STREET CRIME 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 TOTALPercent of

StateTotal

Highway Robbery 5,142 5,527 4,926 5,254 5,578 5,349 5,876 4,824 4,367 3,737 50,580 69.4Purse Snatching 319 245 252 240 276 274 211 241 257 237 2,552 26.6Larceny fromMotor Vehicle 9,949 11,287 9,549 8,876 8,789 7,652 6,554 6,055 6,179 6,446 81,336 28.6

Larceny of MotorVehicle Parts &Accessories

3,435 3,396 2,993 2,791 2,698 2,333 2,404 2,048 2,049 1,696 25,843 42.6

Larceny of Bicycles 880 844 825 824 703 779 749 909 940 944 8,397 12.0

Motor VehicleTheft 12,083 11,064 8,373 9,006 10,052 9,704 7,759 7,928 6,908 6,365 89,242 57.4

TOTAL 31,808 32,363 26,918 26,991 28,096 26,091 23,553 22,005 20,700 19,425 257,950 39.5Percent of State“Street Crime”Total

39.1 39.3 36.9 37.9 39.1 40.9 40.4 42.5 40.5 39.7 39.5 -

— Crime in the Cities — 107

108

Mun

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Year

Popu

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ime

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Viol

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Mot

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2015

76,5

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92,

892

3275

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937

677

1,87

733

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4,36

71,

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2,77

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21,

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1,61

350

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7

2015

280,

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11,4

113,

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71,

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4,07

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1,94

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2,78

77,

210

100

103

1,40

31,

181

1,16

83,

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2,14

61,

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1,38

3

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262,

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5,78

41,

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4,36

727

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872

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92,

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606

814

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2488

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84,6

283,

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405

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859

478

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315

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ton

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2016

84,2

253,

400

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260

2163

429

627

893

992

375

204

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2015

147,

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4,84

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719

4057

354

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1,81

168

440

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1956

551

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128,

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64,7

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247

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East

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64,9

491,

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901

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206

464

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144

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54,5

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66,3

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92

1058

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604

5218

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69,2

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166

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106

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86,3

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8,35

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6,90

84,

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— Crime in the Cities —

— New Jersey Municipal-County Offense & Demographic Data — 109

Section SevenSection SevenNEW JERSEYMUNICIPAL-COUNTYOFFENSE & DEMOGRAPHICDATA

All crime rates are based on permanent, year-round populations. Comparisons of crime ratesbetween individual municipalities should not be made without giving major consideration to thevolume of seasonal population, transients, tourists, and labor forces.

All offenses are recorded in the municipality of occurrence, regardless of the outside investigativeagency, i.e., Federal, State, County, College Campus Police.

Crime rates were not computed for municipalities with population less than 100.

•

•

+

2015/2016

MUNICIPALITYCRIME INDEX TOTAL

VIOLENT CRIME

NON- VIOLENT CRIME

Crime Rate per 1,000

Violent Crime Rate per 1,000

Nonviolent Crime Rate per 1,000

Murder Rape RobberyAggravated

AssaultBurglary Larceny

Motor Vehicle Theft

Arson2015

Estimated Population

Area in Square Miles

Density per Square Mile

Character Male Female CivilianTOTAL Police

Employees

ATLANTIC COUNTY2015 216 10 206 25.8 1.2 24.6 2 0 8 0 23 182 1 0 22 3 4 29

Absecon City 2016 252 8 244 30.3 1.0 29.3 0 0 2 6 33 205 6 0 8,317 5.70 1,459.1 Suburban 22 3 5 30

2015 3,622 628 2,994 91.5 15.9 75.6 7 17 364 240 306 2,612 76 1 268 39 109 416Atlantic City 2016 2,797 490 2,307 71.2 12.5 58.8 12 23 275 180 268 1,960 79 1 39,260 11.84 3,315.9 Urban Ctr. 240 38 119 397

2015 194 6 188 20.9 0.6 20.2 0 0 1 5 56 130 2 1 32 2 11 45Brigantine City 2016 162 1 161 17.6 0.1 17.5 0 1 0 0 35 126 0 1 9,204 6.39 1,440.4 Suburban 33 2 13 48

2015 110 12 98 24.1 2.6 21.5 0 2 0 10 26 68 4 0 9 0 2 11Buena Boro 2016 97 19 78 21.4 4.2 17.2 0 4 7 8 22 54 2 1 4,534 7.40 612.7 Rural 9 0 2 11

2015 154 12 142 20.4 1.6 18.8 0 1 0 11 52 87 3 2 0 0 0 0Buena Vista Township 2016 115 17 98 15.3 2.3 13.1 0 2 5 10 43 52 3 1 7,506 41.83 179.4 Rural 0 0 0 0

2015 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0Corbin City 2016 1 0 1 2.0 0.0 2.0 0 0 0 0 1 0 0 0 492 8.30 59.3 Rural 0 0 0 0

2015 130 18 112 30.5 4.2 26.3 0 0 2 16 35 77 0 0 11 2 1 14Egg Harbor City 2016 147 13 134 34.7 3.1 31.6 0 0 4 9 41 89 4 0 4,239 10.89 389.3 Rural 9 2 1 12

2015 804 76 728 18.3 1.7 16.5 0 7 24 45 146 566 16 4 79 4 27 110Egg Harbor Township 2016 843 86 757 19.2 2.0 17.3 1 13 21 51 166 564 27 5 43,882 67.94 645.9 Rural 81 4 25 110

2015 9 1 8 5.2 0.6 4.6 0 0 0 1 3 5 0 0 0 0 0 0Estell Manor City 2016 14 1 13 8.1 0.6 7.5 0 0 0 1 8 4 1 0 1,731 53.75 32.2 Rural 0 0 0 0

2015 27 3 24 14.5 1.6 12.9 0 0 1 2 11 13 0 0 0 0 0 0Folsom Boro 2016 20 3 17 10.8 1.6 9.2 0 0 2 1 3 10 4 0 1,851 8.40 220.4 Rural 0 0 0 0

2015 717 93 624 19.1 2.5 16.6 1 8 19 65 141 456 27 1 53 5 18 76Galloway Township 2016 729 94 635 19.5 2.5 17.0 0 7 14 73 168 452 15 3 37,291 91.75 406.4 Rural 55 4 22 81

2015 1,088 46 1,042 40.4 1.7 38.7 2 2 19 23 167 849 26 5 45 4 17 66Hamilton Township 2016 979 39 940 36.5 1.5 35.1 2 1 9 27 128 785 27 5 26,787 113.40 236.2 Rural 43 7 23 73

2015 115 15 100 7.8 1.0 6.8 0 2 2 11 15 75 10 0 29 0 6 35Hammonton Town 2016 191 18 173 13.1 1.2 11.8 0 1 1 16 59 106 8 1 14,618 41.80 349.7 Rural 29 0 6 35

2015 81 1 80 11.5 0.1 11.4 0 0 0 1 25 52 3 0 16 0 1 17Linwood City 2016 86 0 86 12.3 0.0 12.3 0 0 0 0 20 63 3 0 6,973 3.80 1,835.0 Suburban 16 0 1 17

2015 5 0 5 5.7 0.0 5.7 0 0 0 0 2 3 0 0 11 1 0 12Longport Boro 2016 11 2 9 12.4 2.3 10.2 0 0 0 2 0 9 0 0 886 0.30 2,953.3 Suburban 11 1 0 12

2015 231 6 225 36.9 1.0 35.9 0 3 0 3 45 169 11 0 22 6 8 36Margate City 2016 133 10 123 21.3 1.6 19.7 0 6 1 3 25 94 4 0 6,237 1.40 4,455.0 Urban Ctr. 21 6 10 37

2015 69 7 62 11.2 1.1 10.1 1 0 1 5 23 37 2 1 14 0 1 15Mullica Township 2016 87 6 81 14.3 1.0 13.3 0 0 0 6 24 52 5 1 6,098 56.50 107.9 Rural 12 0 1 13

2015 85 2 83 9.9 0.2 9.7 1 0 1 0 25 57 1 0 20 1 1 22Northfield City 2016 74 3 71 8.7 0.4 8.3 0 0 0 3 18 53 0 0 8,521 3.50 2,434.6 Suburban 19 1 1 21

2015 561 154 407 27.4 7.5 19.9 6 9 62 77 158 217 32 6 46 4 14 64Pleasantville City 2016 486 114 372 23.4 5.5 17.9 3 1 42 68 141 190 41 1 20,755 5.80 3,578.4 Suburban 46 5 14 65

2015 11 4 7 9.9 3.6 6.3 0 1 0 3 1 5 1 0 0 0 0 0Port Republic City 2016 6 1 5 5.5 0.9 4.5 0 0 0 1 1 3 1 0 1,100 8.10 135.8 Rural 0 0 0 0

2015 314 27 287 29.2 2.5 26.7 0 0 7 20 54 230 3 0 29 0 4 33Somers Point City 2016 299 35 264 28.0 3.3 24.7 0 3 7 25 55 191 18 0 10,688 4.08 2,619.6 Suburban 30 0 7 37

2015 338 15 323 32.0 1.4 30.5 0 3 4 8 125 190 8 1 38 1 11 50Ventnor City 2016 323 18 305 30.8 1.7 29.1 3 2 9 4 73 226 6 0 10,486 2.10 4,993.3 Urban Ctr. 36 1 13 50

110 — New Jersey Municipal-County Offense & Demographic Data — 111

POLICE EMPLOYEE DATADEMOGRAPHIC DATA

— New Jersey Municipal-County Offense & Demographic Data —

NONVIOLENT CRIMEVIOLENT CRIME

2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees

POLICE EMPLOYEE DATADEMOGRAPHIC DATANONVIOLENT CRIMEVIOLENT CRIME

2015 18 3 15 6.6 1.1 5.5 0 2 0 1 5 10 0 0 0 0 0 0Weymouth Township 2016 18 6 12 6.5 2.2 4.3 0 1 0 5 5 6 1 0 2,763 12.00 230.3 Rural 0 0 0 0ATLANTIC COUNTY 2015 8,899 1,139 7,760 32.3 4.1 28.2 20 57 515 547 1,444 6,090 226 22 744 72 235 1,051TOTAL 2016 7,870 984 6,886 28.7 3.6 25.1 21 65 399 499 1,337 5,294 255 20 274,219 566.97 483.7 712 74 263 1,049

BERGEN COUNTY2015 73 1 72 10.8 0.1 10.6 0 0 0 1 11 61 0 0 13 1 5 19

Allendale Boro 2016 38 1 37 5.6 0.1 5.4 0 0 0 1 9 26 2 0 6,822 3.00 2,274.0 Suburban 14 1 5 20

2015 10 1 9 5.2 0.5 4.7 0 0 1 0 2 6 1 0 12 0 0 12Alpine Boro 2016 10 0 10 5.2 0.0 5.2 0 0 0 0 2 7 1 0 1,917 6.20 309.2 Suburban 12 0 0 12

2015 130 7 123 4.7 0.3 4.5 0 1 2 4 10 110 3 0 43 2 3 48Bergenfield Boro 2016 107 8 99 3.9 0.3 3.6 1 0 2 5 16 79 4 0 27,621 3.00 9,207.0 Urban Ctr. 48 1 3 52

2015 81 8 73 9.7 1.0 8.7 0 0 2 6 13 54 6 0 15 0 6 21Bogota Boro 2016 48 1 47 5.7 0.1 5.6 0 0 0 1 3 37 7 0 8,400 0.70 12,000.0 Urban Ctr. 15 0 5 20

2015 116 2 114 18.6 0.3 18.2 0 0 1 1 3 88 23 0 25 1 3 29Carlstadt Boro 2016 140 11 129 22.3 1.8 20.5 1 0 3 7 4 99 26 0 6,279 4.20 1,495.0 Urban Ctr. 25 1 2 28

2015 225 30 195 9.1 1.2 7.9 0 7 4 19 42 144 9 0 53 0 1 54Cliffside Park Boro 2016 210 27 183 8.4 1.1 7.4 0 1 2 24 21 155 7 1 24,857 0.96 25,892.7 Urban Ctr. 48 0 2 50

2015 40 3 37 4.6 0.3 4.3 1 1 0 1 13 21 3 1 18 0 0 18Closter Boro 2016 36 2 34 4.2 0.2 3.9 1 1 0 0 6 27 1 0 8,662 3.17 2,732.5 Suburban 19 0 0 19

2015 34 1 33 3.9 0.1 3.8 0 0 0 1 8 22 3 0 22 0 4 26Cresskill Boro 2016 31 2 29 3.5 0.2 3.3 0 0 1 1 7 22 0 0 8,812 2.00 4,406.0 Suburban 22 0 4 26

2015 23 1 22 4.6 0.2 4.4 0 0 0 1 2 14 6 0 12 0 0 12Demarest Boro 2016 22 1 21 4.4 0.2 4.2 0 0 0 1 4 15 2 0 5,050 2.10 2,404.8 Suburban 12 0 0 12

2015 89 3 86 5.0 0.2 4.8 0 0 0 3 12 73 1 0 30 1 8 39Dumont Boro 2016 98 3 95 5.4 0.2 5.3 0 0 0 3 13 80 2 0 18,001 1.80 10,000.6 Urban Ctr. 30 1 8 39

2015 394 28 366 19.5 1.4 18.1 2 0 10 16 77 275 14 0 38 2 5 45Elmwood Park Boro 2016 373 45 328 18.4 2.2 16.2 0 0 23 22 37 278 13 0 20,279 2.50 8,111.6 Urban Ctr. 39 2 5 46

2015 209 20 189 22.9 2.2 20.7 0 0 7 13 19 156 14 0 36 1 1 38East Rutherford Boro 2016 160 17 143 17.5 1.9 15.6 2 0 0 15 9 121 13 0 9,164 3.70 2,476.8 Urban Ctr. 36 1 1 38

2015 188 13 175 15.2 1.1 14.1 2 2 3 6 19 149 7 0 26 3 4 33Edgewater Boro 2016 145 4 141 12.0 0.3 11.7 0 1 1 2 12 128 1 0 12,034 0.70 17,191.4 Urban Ctr. 27 3 3 33

2015 36 1 35 4.7 0.1 4.6 0 0 0 1 2 33 0 0 18 0 3 21Emerson Boro 2016 46 2 44 6.0 0.3 5.7 0 0 0 2 1 43 0 0 7,697 2.20 3,498.6 Urban Ctr. 20 0 3 23

2015 483 71 412 17.0 2.5 14.5 0 4 23 44 86 302 24 0 79 6 25 110Englewood City 2016 385 60 325 13.5 2.1 11.4 0 7 19 34 47 267 11 0 28,539 4.95 5,765.5 Urban Ctr. 76 8 26 110

2015 50 2 48 9.3 0.4 8.9 0 0 0 2 14 31 3 0 26 0 1 27Englewood Cliffs Boro 2016 45 1 44 8.3 0.2 8.1 0 0 0 1 26 16 2 0 5,403 1.80 3,001.7 Urban Ctr. 25 0 1 26

2015 410 13 397 12.3 0.4 11.9 0 5 2 6 68 317 12 0 55 1 9 65Fair Lawn Boro 2016 465 25 440 13.8 0.7 13.1 3 3 9 10 63 356 21 3 33,597 5.30 6,339.1 Urban Ctr. 58 1 13 72

2015 143 14 129 9.9 1.0 9.0 0 0 9 5 47 77 5 0 30 2 2 34Fairview Boro 2016 133 15 118 9.2 1.0 8.2 0 1 10 4 26 83 9 0 14,451 0.85 17,001.2 Urban Ctr. 29 2 3 34

2015 258 29 229 7.1 0.8 6.3 2 3 5 19 61 159 9 0 87 6 20 113Fort Lee Boro 2016 301 41 260 8.2 1.1 7.1 0 5 8 28 50 200 10 1 36,672 2.50 14,668.8 Urban Ctr. 84 6 20 110

2015 56 1 55 5.1 0.1 5.1 0 0 0 1 8 44 3 0 21 0 5 26Franklin Lakes Boro 2016 80 5 75 7.3 0.5 6.9 0 0 3 2 13 56 6 0 10,899 9.73 1,120.1 Suburban 21 1 5 277 23 69 1508 19 81 163

112 — New Jersey Municipal-County Offense & Demographic Data — 113 — New Jersey Municipal-County Offense & Demographic Data —

2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 636 67 569 20.2 2.1 18.0 0 13 12 42 110 426 33 2 59 2 9 70Garfield City 2016 664 83 581 20.9 2.6 18.3 0 8 35 40 82 463 36 0 31,802 2.10 15,143.8 Urban Ctr. 63 3 10 76

2015 62 2 60 5.2 0.2 5.0 0 0 2 0 13 43 4 2 20 1 1 22Glen Rock Boro 2016 75 1 74 6.3 0.1 6.2 0 0 0 1 2 70 2 0 11,999 2.80 4,285.4 Urban Ctr. 20 2 1 23

2015 718 90 628 16.1 2.0 14.1 0 17 18 55 50 537 41 2 109 7 21 137Hackensack City 2016 789 89 700 17.6 2.0 15.6 0 8 21 60 51 598 51 0 44,834 4.00 11,208.5 Urban Ctr. 111 8 19 138

2015 8 2 6 1.7 0.4 1.3 0 0 0 2 0 6 0 0 12 1 0 13Harrington Park Boro 2016 10 1 9 2.1 0.2 1.9 0 0 0 1 1 8 0 0 4,823 2.02 2,387.6 Suburban 10 1 0 11

2015 68 4 64 5.6 0.3 5.3 1 0 1 2 7 57 0 0 30 0 2 32Hasbrouck Heights Boro 2016 79 7 72 6.5 0.6 5.9 0 0 2 5 5 67 0 0 12,227 1.56 7,837.8 Urban Ctr. 30 0 2 32

2015 12 0 12 3.5 0.0 3.5 0 0 0 0 1 11 0 0 11 0 1 12Haworth Boro 2016 17 2 15 4.9 0.6 4.3 0 0 0 2 2 13 0 0 3,470 1.97 1,761.4 Urban Ctr. 12 0 1 13

2015 39 2 37 3.7 0.2 3.5 0 0 0 2 7 29 1 0 17 1 3 21Hillsdale Boro 2016 38 3 35 3.6 0.3 3.3 0 0 1 2 5 30 0 0 10,559 2.90 3,641.0 Urban Ctr. 18 1 3 22

2015 11 1 10 2.6 0.2 2.4 0 0 0 1 1 8 1 0 12 2 4 18Hohokus Boro 2016 14 0 14 3.4 0.0 3.4 0 0 0 0 3 11 0 0 4,165 1.80 2,313.9 Urban Ctr. 13 2 4 18

2015 59 3 56 6.4 0.3 6.1 0 0 1 2 10 40 6 0 15 2 3 20Leonia Boro 2016 49 2 47 5.3 0.2 5.1 0 0 0 2 14 27 6 1 9,219 1.50 6,146.0 Urban Ctr. 15 2 3 20

2015 103 19 84 9.4 1.7 7.7 0 2 5 12 26 52 6 0 22 1 4 27Little Ferry Boro 2016 85 10 75 7.8 0.9 6.8 0 0 0 10 7 59 9 0 10,963 1.50 7,308.7 Urban Ctr. 25 1 3 29

2015 374 35 339 15.1 1.4 13.7 0 1 18 16 62 251 26 0 40 4 3 47Lodi Boro 2016 349 32 317 14.1 1.3 12.8 0 2 13 17 55 241 21 0 24,835 2.29 10,845.0 Urban Ctr. 41 3 3 47

2015 292 15 277 13.5 0.7 12.8 0 1 3 11 37 210 30 0 48 1 4 53Lyndhurst Township 2016 259 19 240 11.6 0.9 10.8 0 3 7 9 14 205 21 1 22,286 4.70 4,741.7 Urban Ctr. 49 2 3 54

2015 116 5 111 4.4 0.2 4.2 0 1 1 3 4 98 9 0 51 1 8 60Mahwah Township 2016 158 5 153 5.9 0.2 5.8 0 0 2 3 7 138 8 1 26,590 25.70 1,034.6 Suburban 51 1 8 60

2015 68 3 65 7.0 0.3 6.7 0 1 1 1 11 53 1 0 21 1 4 26Maywood Boro 2016 82 5 77 8.4 0.5 7.9 0 0 2 3 13 64 0 0 9,805 1.30 7,542.3 Urban Ctr. 21 1 4 26

2015 45 4 41 6.2 0.5 5.6 1 2 0 1 6 35 0 0 14 0 1 15Midland Park Boro 2016 38 4 34 5.2 0.5 4.6 0 2 1 1 1 33 0 0 7,329 1.69 4,336.7 Urban Ctr. 15 0 1 16

2015 33 2 31 4.0 0.2 3.7 0 0 0 2 3 24 4 0 20 2 2 24Montvale Boro 2016 38 2 36 4.5 0.2 4.3 0 0 0 2 3 31 2 0 8,442 4.00 2,110.5 Suburban 20 2 2 24

2015 49 3 46 17.7 1.1 16.6 0 1 0 2 5 35 6 1 17 1 3 21Moonachie Boro 2016 44 0 44 15.8 0.0 15.8 0 0 0 0 8 28 8 0 2,788 1.67 1,669.5 Urban Ctr. 16 1 3 20

2015 72 3 69 4.3 0.2 4.1 0 0 1 2 15 52 2 0 35 0 3 38New Milford Boro 2016 43 2 41 2.6 0.1 2.4 0 0 2 0 7 34 0 0 16,801 2.20 7,636.8 Urban Ctr. 34 0 2 36

2015 194 16 178 12.3 1.0 11.3 0 1 5 10 27 130 21 2 26 0 7 33North Arlington Boro 2016 165 9 156 10.4 0.6 9.8 1 0 2 6 20 130 6 4 15,904 2.50 6,361.6 Urban Ctr. 28 0 7 35

2015 16 3 13 3.3 0.6 2.7 0 0 0 3 3 10 0 0 13 1 0 14Northvale Boro 2016 5 0 5 1.0 0.0 1.0 0 0 0 0 0 5 0 0 4,859 1.30 3,737.7 Suburban 13 0 0 13

2015 11 0 11 1.9 0.0 1.9 0 0 0 0 1 10 0 0 15 1 1 17Norwood Boro 2016 14 1 13 2.4 0.2 2.2 0 0 1 0 0 13 0 0 5,869 2.90 2,023.8 Suburban 14 1 1 17

2015 68 3 65 5.2 0.2 5.0 0 0 0 3 8 55 2 0 24 0 5 29Oakland Boro 2016 80 8 72 6.1 0.6 5.5 0 0 1 7 15 55 2 0 13,165 9.10 1,446.7 Suburban 23 0 4 27

2015 20 1 19 3.4 0.2 3.2 0 1 0 0 1 17 1 0 12 1 1 14Old Tappan Boro 2016 28 1 27 4.7 0.2 4.5 0 1 0 0 5 22 0 0 6,016 3.10 1,940.6 Suburban 12 1 1 142 41 68 1721 24 90 171


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 39 4 35 4.8 0.5 4.3 0 1 1 2 7 27 1 0 20 0 1 21Oradell Boro 2016 32 0 32 3.9 0.0 3.9 0 0 0 0 4 28 0 0 8,218 2.55 3,222.7 Suburban 21 0 1 22

2015 111 21 90 5.4 1.0 4.4 0 1 5 15 32 55 3 0 31 0 7 38Palisades Park Boro 2016 131 18 113 6.3 0.9 5.4 0 0 8 10 28 74 11 0 20,743 1.29 16,079.8 Urban Ctr. 32 0 8 40

2015 1,118 47 1,071 41.6 1.8 39.9 0 2 25 20 42 994 35 0 80 3 23 106Paramus Boro 2016 1,222 38 1,184 45.3 1.4 43.9 0 1 21 16 38 1,131 15 0 26,974 10.57 2,551.9 Suburban 85 2 21 108

2015 18 1 17 2.0 0.1 1.9 0 0 0 1 8 9 0 0 19 0 0 19Park Ridge Boro 2016 23 4 19 2.6 0.4 2.1 0 0 1 3 11 8 0 0 8,919 2.58 3,457.0 Urban Ctr. 19 0 1 20

2015 136 8 128 9.1 0.5 8.5 0 1 2 5 8 114 6 1 29 2 6 37Ramsey Boro 2016 140 12 128 9.3 0.8 8.5 0 0 6 6 5 117 6 0 15,102 5.90 2,559.7 Suburban 30 2 6 38

2015 56 3 53 4.9 0.3 4.7 0 0 2 1 13 36 4 0 25 0 2 27Ridgefield Boro 2016 69 4 65 6.1 0.4 5.7 1 0 2 1 13 43 9 0 11,373 2.60 4,374.2 Urban Ctr. 26 1 2 29

2015 171 13 158 13.1 1.0 12.1 0 0 4 9 23 130 5 0 31 1 7 39Ridgefield Park Village 2016 150 18 132 11.4 1.4 10.1 0 0 7 11 20 107 5 0 13,102 1.92 6,824.0 Urban Ctr. 27 1 7 35

2015 212 11 201 8.3 0.4 7.9 0 1 2 8 46 153 2 0 40 2 3 45Ridgewood Village 2016 213 7 206 8.3 0.3 8.0 0 0 3 4 32 172 2 0 25,621 5.80 4,417.4 Urban Ctr. 41 2 3 46

2015 71 3 68 6.1 0.3 5.9 0 0 2 1 20 48 0 0 22 1 3 26River Edge Boro 2016 64 5 59 5.5 0.4 5.1 0 1 1 3 23 36 0 1 11,668 1.89 6,173.5 Urban Ctr. 24 1 3 28

2015 26 0 26 2.6 0.0 2.6 0 0 0 0 2 22 2 0 18 1 2 21River Vale Township 2016 26 0 26 2.6 0.0 2.6 0 0 0 0 2 24 0 0 10,033 4.20 2,388.8 Suburban 18 1 2 21

2015 102 2 100 18.0 0.4 17.7 0 0 1 1 18 80 2 0 18 1 3 22Rochelle Park Township 2016 102 4 98 17.9 0.7 17.2 0 0 3 1 16 80 2 0 5,683 1.04 5,464.4 Urban Ctr. 20 0 4 24

2015 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0Rockleigh Boro 2016 1 0 1 1.9 0.0 1.9 0 0 0 0 0 1 0 0 533 0.98 543.9 Suburban 0 0 0 0

2015 238 9 229 12.9 0.5 12.4 0 1 2 6 39 174 16 8 37 3 3 43Rutherford Boro 2016 217 13 204 11.6 0.7 10.9 0 0 2 11 29 168 7 1 18,690 2.60 7,188.5 Urban Ctr. 36 2 3 41

2015 262 6 256 18.7 0.4 18.3 0 0 2 4 26 221 9 2 29 2 4 35Saddle Brook Township 2016 253 2 251 17.9 0.1 17.8 0 1 1 0 17 219 15 0 14,098 2.69 5,240.9 Urban Ctr. 28 2 4 34

2015 32 2 30 9.9 0.6 9.2 0 1 0 1 8 17 5 0 16 1 5 22Saddle River Boro 2016 21 1 20 6.5 0.3 6.1 0 0 0 1 5 13 2 0 3,255 5.00 651.0 Suburban 16 1 5 22

2015 23 5 18 9.4 2.0 7.3 1 1 1 2 4 13 1 0 15 0 3 18South Hackensack Township 2016 70 11 59 28.4 4.5 23.9 0 1 3 7 8 44 7 1 2,465 0.54 4,564.8 Urban Ctr. 19 0 3 22

2015 490 50 440 12.0 1.2 10.8 2 4 18 26 112 316 12 1 88 7 18 113Teaneck Township 2016 497 72 425 12.1 1.8 10.4 0 10 23 39 81 330 14 0 40,972 5.90 6,944.4 Urban Ctr. 83 6 16 105

2015 92 2 90 6.2 0.1 6.1 0 0 0 2 15 72 3 0 34 0 5 39Tenafly Boro 2016 72 4 68 4.8 0.3 4.6 0 2 1 1 20 42 6 0 14,880 4.40 3,381.8 Urban Ctr. 34 0 6 40

2015 46 4 42 + + + 0 0 1 3 3 33 6 0 0 0 0 0Teterboro Boro 2016 113 5 108 + + + 0 0 2 3 1 103 4 0 69 1.08 63.9 Urban Ctr. 0 0 0 0

2015 41 2 39 4.9 0.2 4.7 0 0 0 2 12 21 6 0 17 1 4 22Upper Saddle River Boro 2016 37 5 32 4.4 0.6 3.8 0 2 1 2 2 21 9 0 8,379 5.00 1,675.8 Suburban 16 1 4 21

2015 52 0 52 5.2 0.0 5.2 0 0 0 0 11 41 0 0 18 1 5 24Waldwick Boro 2016 61 2 59 6.0 0.2 5.8 0 1 0 1 7 49 3 0 10,095 2.05 4,924.4 Urban Ctr. 18 1 5 24

2015 161 8 153 13.8 0.7 13.1 0 1 2 5 30 110 13 0 20 1 1 22Wallington Boro 2016 156 8 148 13.3 0.7 12.6 0 0 4 4 22 118 8 0 11,716 0.98 11,955.1 Urban Ctr. 21 1 1 23

2015 28 1 27 3.0 0.1 2.9 0 0 0 1 15 12 0 0 19 1 2 22Washington Township 2016 17 0 17 1.8 0.0 1.8 0 0 0 0 7 10 0 0 9,375 3.10 3,024.2 Urban Ctr. 19 1 2 22


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 79 5 74 7.1 0.4 6.6 0 0 0 5 10 63 1 0 24 1 3 28Westwood Boro 2016 51 2 49 4.5 0.2 4.4 0 0 0 2 6 41 2 0 11,247 2.40 4,686.3 Urban Ctr. 24 1 5 30

2015 39 1 38 6.7 0.2 6.5 0 0 0 1 2 35 1 0 16 2 1 19Woodcliff Lake Boro 2016 24 3 21 4.1 0.5 3.5 0 0 0 3 3 18 0 0 5,917 3.61 1,639.1 Suburban 16 2 1 19

2015 33 3 30 4.2 0.4 3.8 0 0 0 3 10 20 0 0 23 0 4 27Wood-Ridge Boro 2016 63 4 59 7.6 0.5 7.2 0 0 0 4 9 47 3 0 8,249 1.12 7,365.2 Urban Ctr. 22 0 5 27

2015 77 3 74 4.5 0.2 4.3 0 1 2 0 13 59 2 1 23 0 0 23Wyckoff Township 2016 109 5 104 6.3 0.3 6.0 0 2 2 1 15 85 4 1 17,224 6.70 2,570.7 Suburban 25 0 0 25BERGEN COUNTY 2015 9,875 746 9,129 10.6 0.8 9.8 12 79 209 446 1,454 7,200 475 23 2,014 87 310 2,411TOTAL 2016 9,930 804 9,126 10.6 0.9 9.7 10 64 262 468 1,113 7,569 444 16 938,506 234.45 4,003.0 2,034 88 312 2,434

BURLINGTON COUNTY2015 20 1 19 13.8 0.7 13.1 0 0 1 0 5 13 1 1 0 0 0 0

Bass River Township 2016 35 1 34 24.2 0.7 23.5 0 0 1 0 14 20 0 1 1,449 77.35 18.7 Rural 0 0 0 0

2015 74 13 61 28.8 5.1 23.7 0 1 3 9 29 28 4 0 5 1 1 7Beverly City 2016 73 21 52 28.5 8.2 20.3 1 0 11 9 17 31 4 1 2,559 0.54 4,738.9 Urban Ctr. 6 1 0 7

2015 21 3 18 5.4 0.8 4.6 0 0 1 2 5 11 2 0 10 0 2 12Bordentown City 2016 19 2 17 4.9 0.5 4.4 0 0 1 1 3 13 1 0 3,882 0.94 4,129.8 Urban Ctr. 12 1 0 13

2015 119 9 110 10.2 0.8 9.5 0 1 2 6 25 84 1 0 23 1 1 25Bordentown Township 2016 125 18 107 10.5 1.5 9.0 0 5 4 9 26 77 4 0 11,935 7.41 1,610.7 Suburban 22 1 2 25

2015 247 51 196 25.1 5.2 19.9 0 0 23 28 43 137 16 1 29 1 3 33Burlington City 2016 274 52 222 27.9 5.3 22.6 2 1 23 26 55 155 12 1 9,808 3.44 2,851.2 Urban Ctr. 29 1 3 33

2015 448 39 409 19.8 1.7 18.1 0 6 12 21 47 351 11 3 39 4 9 52Burlington Township 2016 368 25 343 16.1 1.1 15.0 2 6 7 10 50 277 16 1 22,826 14.20 1,607.5 Suburban 39 3 9 51

2015 33 10 23 4.3 1.3 3.0 0 0 0 10 1 22 0 0 11 0 1 12Chesterfield Township 2016 38 15 23 5.0 2.0 3.0 0 0 0 15 2 20 1 0 7,572 21.81 347.2 Rural 10 0 1 11

2015 347 14 333 20.9 0.8 20.0 0 2 5 7 40 282 11 1 25 1 0 26Cinnaminson Township 2016 331 25 306 19.9 1.5 18.4 0 3 7 15 38 259 9 0 16,651 7.57 2,199.6 Urban Ctr. 23 1 0 24

2015 78 8 70 17.1 1.8 15.4 0 0 3 5 16 51 3 0 11 0 1 12Delanco Township 2016 103 5 98 22.7 1.1 21.6 0 0 4 1 22 69 7 0 4,541 2.16 2,102.3 Urban Ctr. 11 0 1 12

2015 215 9 206 12.8 0.5 12.2 0 1 2 6 35 162 9 0 27 2 4 33Delran Township 2016 278 16 262 16.6 1.0 15.6 1 6 3 6 38 214 10 0 16,767 6.91 2,426.5 Urban Ctr. 28 2 4 34

2015 69 4 65 11.4 0.7 10.8 0 2 0 2 14 41 10 0 13 1 1 15Eastampton Township 2016 71 6 65 11.8 1.0 10.8 0 3 2 1 12 49 4 0 6,011 5.63 1,067.7 Suburban 14 1 1 16

2015 144 13 131 16.3 1.5 14.8 0 1 9 3 26 95 10 0 12 0 1 13Edgewater Park Township 2016 186 21 165 21.2 2.4 18.8 0 1 9 11 38 114 13 0 8,788 2.86 3,072.7 Urban Ctr. 14 0 1 15

2015 560 29 531 12.3 0.6 11.6 0 1 5 23 82 437 12 0 65 7 7 79Evesham Township 2016 693 32 661 15.2 0.7 14.5 0 3 13 16 79 559 23 3 45,577 29.65 1,537.2 Suburban 69 7 9 85

2015 5 0 5 9.4 0.0 9.4 0 0 0 0 3 2 0 0 2 0 0 2Fieldsboro Boro 2016 8 0 8 15.0 0.0 15.0 0 0 0 0 3 5 0 0 532 0.30 1,773.3 Suburban 0 0 0 0

2015 84 11 73 6.6 0.9 5.8 0 0 5 6 16 48 9 0 23 2 2 27Florence Township 2016 104 19 85 8.2 1.5 6.7 1 5 4 9 29 49 7 0 12,688 9.65 1,314.8 Suburban 23 2 2 27

2015 88 7 81 14.5 1.2 13.3 0 1 3 3 28 49 4 0 0 0 0 0Hainesport Township 2016 89 8 81 14.7 1.3 13.4 0 1 6 1 25 49 7 0 6,053 6.58 919.9 Suburban 0 0 0 0

2015 716 96 620 22.8 3.1 19.7 2 13 36 45 232 356 32 4 54 6 9 69Willingboro Township 2016 734 101 633 23.5 3.2 20.2 4 7 33 57 220 374 39 5 31,270 7.60 4,114.5 Suburban 59 6 10 752 29 110 17611 41 128 187


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 283 12 271 22.7 1.0 21.7 0 3 5 4 21 239 11 0 16 1 2 19Lumberton Township 2016 234 17 217 18.8 1.4 17.5 2 1 6 8 16 193 8 1 12,428 13.34 931.6 Rural 17 1 2 20

2015 118 6 112 13.8 0.7 13.1 0 3 0 3 19 85 8 0 11 0 1 12Mansfield Township 2016 88 5 83 10.3 0.6 9.7 1 3 0 1 14 57 12 1 8,574 23.09 371.3 Rural 13 0 1 14

2015 422 31 391 22.2 1.6 20.6 0 7 13 11 96 259 36 1 32 1 4 37Maple Shade Township 2016 356 43 313 18.8 2.3 16.5 0 10 19 14 71 218 24 0 18,963 3.72 5,097.6 Suburban 31 1 4 36

2015 182 19 163 7.8 0.8 7.0 0 4 4 11 39 123 1 0 30 1 4 35Medford Township 2016 203 21 182 8.7 0.9 7.8 0 5 4 12 25 154 3 2 23,414 40.29 581.1 Rural 29 1 4 34

2015 17 2 15 4.1 0.5 3.7 0 1 0 1 4 11 0 0 9 0 1 10Medford Lakes Boro 2016 38 3 35 9.3 0.7 8.6 0 1 0 2 4 30 1 0 4,085 1.25 3,268.0 Suburban 9 0 1 10

2015 320 16 304 15.5 0.8 14.8 0 3 5 8 56 244 4 1 32 1 5 38Moorestown Township 2016 307 8 299 14.9 0.4 14.5 0 2 3 3 48 245 6 0 20,564 15.18 1,354.7 Suburban 32 0 5 37

2015 320 37 283 34.0 3.9 30.1 2 2 14 19 56 217 10 1 17 2 3 22Mount Holly Township 2016 346 42 304 36.4 4.4 32.0 1 9 7 25 35 263 6 1 9,493 2.91 3,262.2 Rural 19 2 3 24

2015 565 36 529 13.5 0.9 12.6 1 4 13 18 69 441 19 1 59 2 6 67Mount Laurel Township 2016 666 30 636 15.9 0.7 15.2 0 6 8 16 79 535 22 0 41,842 22.15 1,889.0 Suburban 58 3 8 69

2015 17 4 13 2.1 0.5 1.6 0 0 2 2 4 8 1 0 3 0 0 3New Hanover Township 2016 8 2 6 1.0 0.2 0.7 0 0 1 1 3 3 0 0 8,078 21.85 369.7 Rural 3 0 0 3

2015 50 8 42 6.5 1.0 5.5 0 3 0 5 9 31 2 0 9 0 1 10North Hanover Township 2016 32 0 32 4.2 0.0 4.2 0 0 0 0 8 22 2 0 7,609 17.38 437.8 Rural 10 0 1 11

2015 173 17 156 23.6 2.3 21.2 0 0 7 10 26 128 2 2 15 2 1 18Palmyra Boro 2016 213 14 199 29.1 1.9 27.2 0 1 2 11 22 174 3 0 7,314 1.92 3,809.4 Urban Ctr. 16 2 1 19

2015 24 3 21 17.3 2.2 15.1 0 2 0 1 5 13 3 0 6 0 0 6Pemberton Boro 2016 53 3 50 38.3 2.2 36.2 0 2 0 1 5 39 6 3 1,383 0.76 1,819.7 Rural 6 0 1 7

2015 724 114 610 26.0 4.1 21.9 1 13 34 66 194 386 30 9 48 3 8 59Pemberton Township 2016 740 97 643 26.6 3.5 23.2 3 13 31 50 240 381 22 9 27,771 64.67 429.4 Suburban 35 3 5 43

2015 38 18 20 4.7 2.2 2.5 0 0 3 15 7 13 0 0 11 1 0 12Riverside Township 2016 22 11 11 2.8 1.4 1.4 1 1 2 7 4 6 1 0 7,997 1.54 5,192.9 Urban Ctr. 14 0 0 14

2015 36 2 34 13.0 0.7 12.3 0 0 1 1 5 28 1 0 5 0 0 5Riverton Boro 2016 56 2 54 20.4 0.7 19.7 0 0 0 2 5 48 1 0 2,748 0.70 3,925.7 Urban Ctr. 6 0 0 6

2015 30 4 26 4.7 0.6 4.0 0 3 0 1 7 18 1 0 0 0 0 0Shamong Township 2016 32 5 27 5.0 0.8 4.2 0 1 1 3 5 20 2 0 6,419 46.61 137.7 Rural 0 0 0 0

2015 147 11 136 14.2 1.1 13.1 0 2 1 8 31 100 5 0 0 0 0 0Southampton Township 2016 94 10 84 9.1 1.0 8.1 0 2 3 5 28 54 2 0 10,337 43.31 238.7 Rural 0 0 0 0

2015 39 2 37 11.5 0.6 10.9 0 0 1 1 8 27 2 0 9 0 1 10Springfield Township 2016 30 4 26 8.9 1.2 7.7 0 0 2 2 10 13 3 0 3,355 29.34 114.3 Rural 9 0 1 10

2015 48 4 44 6.9 0.6 6.3 0 0 2 2 16 28 0 1 0 0 0 0Tabernacle Township 2016 35 8 27 5.0 1.2 3.9 1 2 1 4 10 14 3 0 6,954 47.64 146.0 Rural 0 0 0 0

2015 6 1 5 8.9 1.5 7.4 0 0 1 0 1 4 0 1 0 0 0 0Washington Township 2016 8 0 8 11.9 0.0 11.9 0 0 0 0 6 1 1 0 674 107.32 6.3 Rural 0 0 0 0

2015 159 15 144 18.1 1.7 16.4 0 5 2 8 14 126 4 0 21 3 3 27Westampton Township 2016 163 23 140 18.7 2.6 16.0 0 7 6 10 16 113 11 1 8,726 11.04 790.4 Rural 19 3 3 25

2015 24 0 24 13.4 0.0 13.4 0 0 0 0 12 11 1 0 0 0 0 0Woodland Township 2016 25 1 24 13.9 0.6 13.4 0 0 0 1 7 16 1 3 1,793 95.38 18.8 Rural 0 0 0 0

2015 34 9 25 42.6 11.3 31.3 0 1 2 6 15 10 0 0 0 0 0 0Wrightstown Boro 2016 22 3 19 27.6 3.8 23.9 0 0 3 0 10 8 1 0 796 1.65 482.4 Rural 0 0 0 0


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


BURLINGTON COUNTY 2015 7,044 688 6,356 15.6 1.5 14.1 6 85 220 377 1,361 4,719 276 27 682 43 82 807TOTAL 2016 7,300 719 6,581 16.2 1.6 14.6 20 107 227 365 1,342 4,941 298 33 450,226 817.64 550.6 685 42 83 810

CAMDEN COUNTY2015 319 7 312 36.5 0.8 35.7 1 0 1 5 47 265 0 0 14 1 1 16

Audubon Boro 2016 353 5 348 40.4 0.6 39.9 0 0 3 2 54 290 4 0 8,730 1.48 5,898.6 Urban Ctr. 16 1 1 18

2015 14 0 14 13.8 0.0 13.8 0 0 0 0 4 9 1 0 0 0 0 0Audubon Park Boro 2016 15 0 15 14.8 0.0 14.8 0 0 0 0 5 10 0 0 1,011 0.15 6,740.0 Urban Ctr. 0 0 0 0

2015 93 5 88 13.6 0.7 12.9 0 1 3 1 18 68 2 0 15 0 1 16Barrington Boro 2016 107 5 102 15.7 0.7 15.0 0 2 2 1 21 76 5 0 6,817 1.59 4,287.4 Suburban 14 1 1 16

2015 360 8 352 31.4 0.7 30.7 0 0 6 2 98 238 16 0 21 0 2 23Bellmawr Boro 2016 298 16 282 26.0 1.4 24.6 1 1 11 3 45 229 8 2 11,462 2.99 3,833.4 Suburban 21 0 2 23

2015 111 4 107 14.6 0.5 14.1 0 0 0 4 21 82 4 1 17 0 1 18Berlin Boro 2016 150 14 136 19.8 1.8 17.9 0 1 3 10 30 100 6 0 7,590 3.56 2,132.0 Suburban 17 0 1 18

2015 241 6 235 44.7 1.1 43.6 1 0 2 3 22 212 1 2 17 0 1 18Berlin Township 2016 259 6 253 47.7 1.1 46.6 0 1 5 0 24 226 3 1 5,434 3.27 1,661.8 Suburban 17 0 1 18

2015 210 23 187 108.6 11.9 96.7 0 0 16 7 26 161 0 0 7 0 0 7Brooklawn Boro 2016 229 20 209 118.5 10.3 108.1 0 4 8 8 34 167 8 0 1,933 0.49 3,944.9 Urban Ctr. 6 0 0 6

2015 4,421 1,529 2,892 57.8 20.0 37.8 32 75 485 937 677 1,877 338 72 301 45 93 439Camden City 2016 4,367 1,593 2,774 57.4 20.9 36.4 47 88 432 1,026 655 1,613 506 94 76,119 8.68 8,769.5 Urban Ctr. 356 58 53 467

2015 46 8 38 28.2 4.9 23.3 0 0 2 6 22 15 1 1 7 0 1 8Chesilhurst Boro 2016 50 8 42 30.6 4.9 25.7 0 0 1 7 19 19 4 0 1,634 1.72 950.0 Rural 8 0 1 9

2015 202 20 182 40.8 4.0 36.8 0 0 10 10 66 112 4 0 12 0 1 13Clementon Boro 2016 183 14 169 37.0 2.8 34.2 0 1 9 4 59 104 6 1 4,947 1.91 2,590.1 Suburban 12 0 1 13

2015 364 20 344 26.3 1.4 24.8 0 2 14 4 57 266 21 0 22 2 3 27Collingswood Boro 2016 417 26 391 29.8 1.9 27.9 1 3 10 12 103 265 23 2 14,000 1.86 7,526.9 Urban Ctr. 21 2 4 27

2015 2,026 114 1,912 28.5 1.6 26.9 0 1 41 72 236 1,637 39 1 123 7 28 158Cherry Hill Township 2016 2,043 92 1,951 28.6 1.3 27.3 1 2 49 40 216 1,680 55 1 71,340 24.18 2,950.4 Suburban 129 10 27 166

2015 42 1 41 18.7 0.4 18.3 0 0 0 1 23 18 0 1 8 0 0 8Gibbsboro Boro 2016 33 1 32 14.7 0.4 14.3 0 1 0 0 8 23 1 0 2,244 2.16 1,038.9 Suburban 10 0 0 10

2015 292 20 272 25.8 1.8 24.0 0 1 9 10 82 186 4 1 26 2 2 30Gloucester City 2016 296 16 280 26.1 1.4 24.7 1 0 4 11 56 204 20 1 11,329 2.32 4,883.2 Urban Ctr. 26 3 2 31

2015 1,219 110 1,109 19.1 1.7 17.3 0 3 32 75 222 851 36 1 121 6 23 150Gloucester Township 2016 1,126 89 1,037 17.6 1.4 16.2 1 8 23 57 171 822 44 0 63,939 23.14 2,763.1 Suburban 119 6 22 147

2015 353 25 328 24.3 1.7 22.5 2 1 13 9 61 257 10 0 24 2 2 28Haddon Township 2016 409 18 391 28.1 1.2 26.9 0 0 8 10 85 286 20 0 14,543 2.69 5,406.3 Urban Ctr. 24 2 1 27

2015 161 11 150 14.1 1.0 13.1 0 2 2 7 21 123 6 0 19 2 2 23Haddonfield Boro 2016 193 2 191 16.9 0.2 16.7 0 0 0 2 28 161 2 0 11,414 2.78 4,105.8 Urban Ctr. 20 1 2 23

2015 91 3 88 12.1 0.4 11.7 0 0 1 2 26 62 0 0 13 0 1 14Haddon Heights Boro 2016 77 5 72 10.2 0.7 9.6 0 0 1 4 18 50 4 2 7,514 1.58 4,755.7 Urban Ctr. 15 0 1 16

2015 21 6 15 24.4 7.0 17.4 0 1 0 5 7 7 1 0 13 0 0 13Hi-Nella Boro 2016 19 5 14 22.1 5.8 16.3 0 0 1 4 5 9 0 0 860 0.23 3,739.1 Suburban 12 0 0 12

2015 52 1 51 27.6 0.5 27.1 0 0 0 1 18 33 0 0 7 0 0 7Laurel Springs Boro 2016 44 1 43 23.4 0.5 22.8 0 0 0 1 8 35 0 0 1,884 0.45 4,186.7 Suburban 7 0 0 7

2015 98 14 84 33.6 4.8 28.8 0 0 9 5 14 63 7 0 6 2 1 9Lawnside Boro 2016 134 19 115 45.9 6.5 39.4 0 0 9 10 14 93 8 0 2,919 1.43 2,041.3 Suburban 7 1 1 936 87 646 1,16652 112 579 1,212


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 630 120 510 36.1 6.9 29.2 1 14 49 56 149 330 31 1 42 1 3 46Lindenwold Boro 2016 602 111 491 34.5 6.4 28.1 0 11 49 51 130 328 33 2 17,458 3.82 4,570.2 Suburban 40 1 3 44

2015 115 6 109 26.7 1.4 25.3 0 0 2 4 23 76 10 0 11 0 0 11Magnolia Boro 2016 83 10 73 19.3 2.3 17.0 0 0 3 7 13 52 8 0 4,298 0.98 4,385.7 Suburban 11 0 0 11

2015 99 13 86 26.2 3.4 22.8 0 0 5 8 19 64 3 0 13 0 2 15Merchantville Boro 2016 39 1 38 10.3 0.3 10.1 1 0 0 0 8 27 3 3 3,778 0.61 6,193.4 Urban Ctr. 13 0 2 15

2015 138 5 133 29.8 1.1 28.7 0 0 2 3 15 115 3 0 11 1 1 13Mount Ephraim Boro 2016 175 9 166 37.7 1.9 35.8 0 0 7 2 15 147 4 1 4,639 0.90 5,154.4 Urban Ctr. 11 1 1 13

2015 161 5 156 40.3 1.3 39.1 0 0 2 3 19 136 1 0 12 1 1 14Oaklyn Boro 2016 145 5 140 36.3 1.3 35.1 0 2 3 0 32 99 9 1 3,992 0.63 6,336.5 Urban Ctr. 14 1 1 16

2015 1,171 108 1,063 32.8 3.0 29.8 0 3 46 59 219 751 93 2 67 8 5 80Pennsauken Township 2016 1,033 103 930 29.0 2.9 26.1 3 3 39 58 344 519 67 9 35,628 10.56 3,373.9 Urban Ctr. 66 7 8 81

2015 307 40 267 29.2 3.8 25.4 0 2 4 34 69 185 13 1 20 1 3 24Pine Hill Boro 2016 213 21 192 20.3 2.0 18.3 0 2 8 11 52 125 15 2 10,510 3.97 2,647.4 Suburban 21 0 3 24

2015 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 6 0 0 6Pine Valley Boro 2016 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 12 0.94 12.8 Suburban 6 0 0 6

2015 273 11 262 32.6 1.3 31.2 0 0 7 4 88 158 16 0 16 0 1 17Runnemede Boro 2016 368 10 358 43.9 1.2 42.7 0 1 4 5 145 199 14 0 8,381 2.00 4,190.5 Suburban 15 0 2 17

2015 344 11 333 64.1 2.0 62.0 0 0 3 8 30 293 10 0 14 0 1 15Somerdale Boro 2016 249 10 239 45.6 1.8 43.8 0 1 3 6 24 211 4 0 5,460 1.36 4,014.7 Suburban 14 0 1 15

2015 125 13 112 17.9 1.9 16.0 0 0 3 10 20 91 1 0 16 0 2 18Stratford Boro 2016 161 15 146 23.0 2.1 20.8 1 0 8 6 32 108 6 0 7,013 1.59 4,410.7 Suburban 15 0 2 17

2015 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 0 0 0 0Tavistock Boro 2016 4 0 4 800.0 0.0 800.0 0 0 0 0 0 4 0 0 5 0.27 18.5 Suburban 0 0 0 0

2015 546 46 500 18.6 1.6 17.0 1 10 12 23 101 382 17 0 49 1 6 56Voorhees Township 2016 497 53 444 16.9 1.8 15.1 0 9 11 33 70 358 16 0 29,370 11.61 2,529.7 Suburban 48 1 9 58

2015 57 5 52 5.3 0.5 4.8 0 0 1 4 10 39 3 0 18 2 1 21Waterford Township 2016 79 3 76 7.3 0.3 7.1 0 0 0 3 10 60 6 0 10,753 36.11 297.8 Rural 21 2 3 26

2015 605 61 544 15.5 1.6 13.9 0 6 20 35 172 356 16 5 68 5 7 80Winslow Township 2016 191 44 147 4.9 1.1 3.8 0 8 10 26 55 87 5 7 39,019 57.78 675.3 Suburban 67 5 7 79

2015 54 8 46 18.3 2.7 15.6 0 0 4 4 3 35 8 0 5 0 0 5Woodlynne Boro 2016 60 9 51 20.4 3.1 17.3 0 0 2 7 3 37 11 0 2,944 0.22 13,381.8 Urban Ctr. 7 0 0 7CAMDEN COUNTY 2015 15,361 2,387 12,974 30.1 4.7 25.4 38 122 806 1,421 2,705 9,553 716 89 1,161 89 196 1,446TOTAL 2016 14,701 2,359 12,342 28.8 4.6 24.2 57 149 726 1,427 2,591 8,823 928 129 510,923 222.01 2,301.4 1,226 103 163 1,492

CAPE MAY COUNTY2015 161 3 158 124.4 2.3 122.1 0 1 0 2 25 133 0 0 21 0 8 29

Avalon Boro 2016 195 3 192 152.0 2.3 149.6 0 0 0 3 30 160 2 0 1,283 4.82 266.2 Suburban 21 0 8 29

2015 141 4 137 39.9 1.1 38.8 0 0 0 4 24 109 4 0 21 1 5 27Cape May City 2016 113 6 107 32.2 1.7 30.4 0 6 0 0 13 94 0 0 3,514 2.25 1,561.8 Urban Ctr. 18 3 5 26

2015 5 0 5 17.7 0.0 17.7 0 0 0 0 0 5 0 0 0 0 0 0Cape May Point Boro 2016 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 281 0.30 936.7 Suburban 0 0 0 0

2015 79 6 73 12.4 0.9 11.5 0 1 0 5 30 40 3 0 0 0 0 0Dennis Township 2016 79 9 70 12.5 1.4 11.1 0 0 0 9 20 45 5 1 6,315 65.10 97.0 Rural 0 0 0 0

2015 489 36 453 22.0 1.6 20.4 0 3 19 14 98 342 13 3 42 2 13 57Lower Township 2016 411 20 391 18.6 0.9 17.7 0 1 6 13 89 295 7 0 22,125 27.80 795.9 Suburban 42 2 13 57


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 620 51 569 32.9 2.7 30.2 1 7 12 31 81 470 18 3 44 4 14 62Middle Township 2016 536 50 486 28.8 2.7 26.1 0 5 9 36 72 393 21 4 18,615 72.40 257.1 Rural 46 3 14 63

2015 196 10 186 49.9 2.5 47.3 0 1 2 7 19 163 4 0 27 2 10 39North Wildwood City 2016 196 7 189 50.2 1.8 48.4 0 2 2 3 20 169 0 0 3,901 1.71 2,281.3 Suburban 26 2 8 36

2015 485 10 475 42.6 0.9 41.7 0 2 4 4 64 409 2 0 53 4 13 70Ocean City 2016 378 14 364 33.3 1.2 32.1 0 1 5 8 58 306 0 1 11,355 7.00 1,622.1 Suburban 54 4 15 73

2015 197 3 194 94.0 1.4 92.6 0 0 0 3 38 156 0 0 21 1 6 28Sea Isle City 2016 248 3 245 118.8 1.4 117.4 0 0 2 1 61 182 2 0 2,087 2.50 834.8 Suburban 21 1 6 28

2015 127 5 122 150.8 5.9 144.9 0 1 0 4 16 106 0 0 17 0 2 19Stone Harbor Boro 2016 101 2 99 120.8 2.4 118.4 0 0 0 2 18 81 0 0 836 1.68 497.6 Suburban 16 1 2 19

2015 73 6 67 6.0 0.5 5.5 0 0 0 6 16 49 2 3 0 0 0 0Upper Township 2016 101 7 94 8.4 0.6 7.8 0 1 1 5 26 67 1 0 12,014 65.70 182.9 Rural 0 0 0 0

2015 24 1 23 23.6 1.0 22.6 0 0 0 1 7 16 0 0 0 0 0 0West Cape May Boro 2016 14 0 14 13.8 0.0 13.8 0 0 0 0 3 11 0 0 1,016 1.22 832.8 Suburban 0 0 0 0

2015 25 0 25 43.0 0.0 43.0 0 0 0 0 5 19 1 0 5 2 0 7West Wildwood Boro 2016 20 2 18 35.0 3.5 31.5 0 0 0 2 8 9 1 0 572 0.30 1,906.7 Suburban 4 1 0 5

2015 568 64 504 109.4 12.3 97.1 0 2 12 50 116 383 5 1 37 2 10 49Wildwood City 2016 473 67 406 91.9 13.0 78.9 0 6 26 35 63 337 6 2 5,149 1.30 3,960.8 Urban Ctr. 37 2 10 49

2015 91 2 89 28.4 0.6 27.7 0 0 0 2 30 59 0 0 16 1 7 24Wildwood Crest Boro 2016 123 15 108 38.7 4.7 33.9 0 2 1 12 32 74 2 0 3,182 1.10 2,892.7 Suburban 19 1 6 26

2015 51 12 39 20.5 4.8 15.7 0 2 2 8 21 15 3 0 0 0 0 0Woodbine Boro 2016 67 12 55 27.0 4.8 22.2 0 1 2 9 19 34 2 0 2,482 7.90 314.2 Rural 0 0 0 0CAPE MAY COUNTY 2015 3,332 213 3,119 34.9 2.2 32.7 1 20 51 141 590 2,474 55 10 304 19 88 411TOTAL 2016 3,055 217 2,838 32.3 2.3 30.0 0 25 54 138 532 2,257 49 8 94,727 263.08 360.1 304 20 87 411

CUMBERLAND COUNTY 2015 1,437 292 1,145 56.8 11.5 45.2 5 7 126 154 354 760 31 9 62 2 14 78

Bridgeton City 2016 1,190 235 955 47.5 9.4 38.2 4 13 113 105 269 652 34 5 25,031 6.50 3,850.9 Urban Ctr. 57 3 15 75

2015 158 20 138 30.9 3.9 27.0 1 4 2 13 63 73 2 1 0 0 0 0Commercial Township 2016 107 15 92 21.1 3.0 18.1 1 6 2 6 27 61 4 1 5,080 34.00 149.4 Rural 0 0 0 0

2015 65 7 58 20.8 2.2 18.6 0 4 2 1 16 39 3 1 0 0 0 0Deerfield Township 2016 26 2 24 8.4 0.6 7.7 0 0 0 2 9 15 0 0 3,099 16.70 185.6 Rural 0 0 0 0

2015 21 3 18 13.7 2.0 11.7 0 0 1 2 9 9 0 0 0 0 0 0Downe Township 2016 27 2 25 17.8 1.3 16.5 0 0 0 2 12 12 1 1 1,519 54.35 27.9 Rural 0 0 0 0

2015 99 24 75 15.3 3.7 11.6 1 6 7 10 32 39 4 2 0 0 0 0Fairfield Township 2016 74 15 59 11.6 2.4 9.3 1 2 3 9 25 33 1 1 6,355 46.02 138.1 Rural 0 0 0 0

2015 9 0 9 11.3 0.0 11.3 0 0 0 0 2 7 0 0 0 0 0 0Greenwich Township 2016 3 0 3 3.8 0.0 3.8 0 0 0 0 3 0 0 0 787 19.00 41.4 Rural 0 0 0 0

2015 68 4 64 15.1 0.9 14.2 0 1 1 2 26 37 1 0 0 0 0 0Hopewell Township 2016 49 4 45 11.0 0.9 10.1 0 0 1 3 15 28 2 0 4,457 31.40 141.9 Suburban 0 0 0 0

2015 65 5 60 20.0 1.5 18.5 0 0 1 4 25 34 1 3 0 0 0 0Lawrence Township 2016 61 6 55 18.9 1.9 17.0 0 0 3 3 31 21 3 1 3,227 37.35 86.4 Rural 0 0 0 0

2015 74 5 69 9.4 0.6 8.7 0 2 1 2 28 38 3 3 0 0 0 0Maurice River Township 2016 85 7 78 11.0 0.9 10.1 0 1 0 6 36 40 2 1 7,737 94.70 81.7 Rural 0 0 0 0

2015 2,154 202 1,952 75.7 7.1 68.6 2 17 91 92 296 1,608 48 5 62 6 9 77Millville City 2016 1,940 224 1,716 68.7 7.9 60.8 4 22 82 116 304 1,354 58 3 28,230 43.00 656.5 Urban Ctr. 68 6 11 85


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 15 1 14 29.5 2.0 27.5 0 0 0 1 8 6 0 0 0 0 0 0Shiloh Boro 2016 3 0 3 5.9 0.0 5.9 0 0 0 0 1 2 0 0 505 1.18 428.0 Rural 0 0 0 0

2015 7 0 7 4.9 0.0 4.9 0 0 0 0 4 2 1 0 0 0 0 0Stow Creek Township 2016 4 0 4 2.8 0.0 2.8 0 0 0 0 3 1 0 0 1,423 18.90 75.3 Rural 0 0 0 0

2015 311 17 294 40.8 2.2 38.6 0 3 5 9 59 232 3 1 0 0 0 0Upper Deerfield Township 2016 178 11 167 23.5 1.5 22.0 0 3 2 6 40 124 3 1 7,586 31.75 238.9 Rural 0 0 0 0

2015 2,905 337 2,568 47.5 5.5 42.0 7 32 108 190 525 1,975 68 3 122 8 26 156Vineland City 2016 2,721 299 2,422 44.7 4.9 39.8 1 17 128 153 560 1,787 75 4 60,818 69.50 875.1 Urban Ctr. 120 12 25 157CUMBERLAND COUNTY 2015 7,388 917 6,471 47.0 5.8 41.2 16 76 345 480 1,447 4,859 165 28 246 16 49 311TOTAL 2016 6,468 820 5,648 41.5 5.3 36.2 11 64 334 411 1,335 4,130 183 18 155,854 504.35 309.0 245 21 51 317

ESSEX COUNTY 2015 815 98 717 22.5 2.7 19.8 2 3 58 35 140 469 108 0 104 4 9 117

Belleville Town 2016 662 62 600 18.2 1.7 16.5 0 3 32 27 93 419 88 1 36,354 3.30 11,016.4 Urban Ctr. 106 5 9 120

2015 890 96 794 18.6 2.0 16.6 0 2 60 34 107 611 76 1 112 5 23 140Bloomfield Town 2016 878 65 813 18.2 1.3 16.8 0 0 32 33 79 632 102 0 48,276 5.40 8,940.0 Urban Ctr. 115 6 25 146

2015 43 4 39 5.4 0.5 4.9 0 0 1 3 10 28 1 0 20 2 0 22Caldwell Boro 2016 39 6 33 4.9 0.8 4.2 0 1 1 4 7 23 3 0 7,948 1.20 6,623.3 Urban Ctr. 20 2 0 22

2015 177 5 172 23.4 0.7 22.7 0 1 2 2 16 144 12 1 34 1 4 39Fairfield Township 2016 177 5 172 23.4 0.7 22.7 0 0 0 5 10 146 16 1 7,578 10.58 716.3 Suburban 36 1 3 40

2015 114 2 112 9.0 0.2 8.9 0 0 1 1 21 89 2 0 25 3 1 29Cedar Grove Township 2016 110 3 107 8.7 0.2 8.5 0 0 3 0 20 80 7 0 12,625 4.50 2,805.6 Suburban 26 3 0 29

2015 1,264 444 820 19.5 6.9 12.7 11 25 161 247 202 454 164 10 164 55 74 293East Orange City 2016 1,341 440 901 20.6 6.8 13.9 6 22 181 231 206 464 231 10 64,949 4.00 16,237.3 Urban Ctr. 152 53 57 262

2015 10 1 9 4.6 0.5 4.1 0 0 0 1 2 2 5 0 12 1 0 13Essex Fells Boro 2016 12 0 12 5.6 0.0 5.6 0 0 0 0 0 9 3 0 2,159 1.30 1,660.8 Suburban 12 1 0 13

2015 180 11 169 23.5 1.4 22.1 0 2 2 7 37 127 5 0 20 3 7 30Glen Ridge Boro 2016 162 4 158 21.1 0.5 20.6 0 0 3 1 46 110 2 0 7,660 1.30 5,892.3 Urban Ctr. 20 3 11 34

2015 2,347 638 1,709 43.1 11.7 31.4 14 24 399 201 444 713 552 9 117 35 25 177Irvington Town 2016 1,778 518 1,260 32.6 9.5 23.1 4 25 289 200 333 560 367 17 54,580 2.80 19,492.9 Urban Ctr. 119 39 37 195

2015 326 12 314 11.0 0.4 10.6 0 1 6 5 19 283 12 1 62 5 14 81Livingston Township 2016 354 14 340 11.9 0.5 11.4 2 3 5 4 29 299 12 0 29,849 14.00 2,132.1 Suburban 63 5 11 79

2015 411 26 385 16.7 1.1 15.6 0 1 21 4 58 291 36 2 52 7 11 70Maplewood Township 2016 360 25 335 14.6 1.0 13.6 0 1 23 1 47 257 31 0 24,700 4.00 6,175.0 Urban Ctr. 54 9 10 73

2015 384 9 375 18.9 0.4 18.5 0 0 5 4 35 331 9 0 53 1 8 62Millburn Township 2016 355 7 348 17.4 0.3 17.1 0 0 6 1 17 312 19 0 20,363 10.00 2,036.3 Suburban 51 2 6 59

2015 622 46 576 16.3 1.2 15.1 0 2 22 22 143 398 35 5 96 12 19 127Montclair Town 2016 632 50 582 16.5 1.3 15.2 0 4 24 22 124 427 31 0 38,202 6.20 6,161.6 Urban Ctr. 92 12 17 121

2015 11,411 3,221 8,190 40.6 11.5 29.1 107 107 1,877 1,130 1,530 4,072 2,588 18 817 216 170 1,203Newark City 2016 9,997 2,787 7,210 35.5 9.9 25.6 100 103 1,403 1,181 1,168 3,896 2,146 41 281,944 24.14 11,679.5 Urban Ctr. 867 246 270 1,383

2015 37 0 37 5.6 0.0 5.6 0 0 0 0 20 7 10 0 13 2 5 20North Caldwell Boro 2016 29 0 29 4.4 0.0 4.4 0 0 0 0 4 23 2 0 6,661 2.90 2,296.9 Suburban 13 2 5 20

2015 282 23 259 9.8 0.8 9.0 1 1 11 10 52 192 15 1 66 4 13 83Nutley Township 2016 289 34 255 10.1 1.2 8.9 0 4 12 18 40 205 10 0 28,748 3.40 8,455.3 Urban Ctr. 70 4 12 83

2015 1,186 337 849 38.8 11.0 27.8 5 8 207 117 228 415 206 1 79 22 19 120City of Orange City 2016 1,201 349 852 39.3 11.4 27.9 11 11 215 112 198 425 229 5 30,563 2.20 13,892.3 Urban Ctr. 76 21 21 118


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 39 3 36 7.1 0.5 6.6 0 1 1 1 5 29 2 0 25 0 1 26Roseland Boro 2016 43 1 42 7.3 0.2 7.1 0 0 0 1 2 37 3 0 5,876 3.58 1,641.3 Suburban 24 0 0 24

2015 306 33 273 18.7 2.0 16.7 0 1 26 6 34 220 19 0 45 3 11 59South Orange Village Twp. 2016 380 43 337 23.2 2.6 20.6 0 1 31 11 62 239 36 0 16,380 2.70 6,066.7 Urban Ctr. 41 3 7 51

2015 96 2 94 7.1 0.1 7.0 0 0 2 0 21 65 8 0 25 2 5 32Verona Boro 2016 85 3 82 6.3 0.2 6.0 0 0 0 3 13 65 4 0 13,569 2.80 4,846.1 Urban Ctr. 27 3 5 35

2015 85 6 79 7.7 0.5 7.2 0 1 0 5 8 63 8 0 24 1 7 32West Caldwell Township 2016 82 4 78 7.4 0.4 7.1 0 0 0 4 11 65 2 0 11,060 5.04 2,194.4 Suburban 26 0 4 30

2015 815 101 714 17.2 2.1 15.1 1 10 38 52 114 531 69 0 94 3 15 112West Orange Town 2016 958 107 851 20.2 2.3 18.0 1 17 37 52 119 658 74 2 47,390 12.10 3,916.5 Suburban 94 3 14 111ESSEX COUNTY 2015 21,840 5,118 16,722 27.5 6.4 21.0 141 190 2,900 1,887 3,246 9,534 3,942 49 2,059 387 441 2,887TOTAL 2016 19,924 4,527 15,397 25.0 5.7 19.3 124 195 2,297 1,911 2,628 9,351 3,418 77 797,434 127.44 6,257.3 2,104 423 524 3,051

GLOUCESTER COUNTY2015 147 6 141 17.6 0.7 16.9 0 0 2 4 34 105 2 3 15 0 1 16

Clayton Boro 2016 166 7 159 19.5 0.8 18.7 0 1 4 2 35 121 3 1 8,493 7.26 1,169.8 Suburban 16 0 1 17

2015 1,312 63 1,249 43.0 2.1 40.9 1 5 27 30 177 1,049 23 4 59 5 6 70Deptford Township 2016 1,229 67 1,162 40.2 2.2 38.0 0 7 30 30 193 944 25 5 30,569 17.58 1,738.9 Suburban 59 5 5 69

2015 94 5 89 9.1 0.5 8.6 0 0 2 3 25 62 2 0 16 0 2 18East Greenwich Township 2016 51 4 47 4.9 0.4 4.5 0 1 0 3 16 31 0 0 10,380 14.89 697.1 Suburban 15 0 2 17

2015 57 4 53 13.7 1.0 12.7 0 1 1 2 14 39 0 0 12 0 1 13Elk Township 2016 68 3 65 16.4 0.7 15.6 0 0 1 2 22 40 3 0 4,156 19.60 212.0 Rural 12 0 1 13

2015 239 7 232 14.3 0.4 13.9 0 1 5 1 73 148 11 3 25 0 3 28Franklin Township 2016 206 10 196 12.4 0.6 11.8 1 0 4 5 75 108 13 0 16,669 56.47 295.2 Rural 25 1 3 29

2015 604 31 573 31.7 1.6 30.1 0 5 10 16 134 430 9 0 41 4 5 50Glassboro Boro 2016 630 41 589 32.8 2.1 30.7 0 5 22 14 160 411 18 0 19,216 9.37 2,050.8 Suburban 41 4 5 50

2015 98 3 95 20.2 0.6 19.6 0 3 0 0 18 76 1 1 17 1 2 20Greenwich Township 2016 85 3 82 17.5 0.6 16.9 0 0 1 2 5 76 1 0 4,857 9.44 514.5 Suburban 18 1 2 21

2015 141 5 136 10.9 0.4 10.5 0 0 5 0 42 93 1 0 16 1 1 18Harrison Township 2016 100 8 92 7.7 0.6 7.1 0 3 1 4 34 56 2 2 12,984 19.08 680.5 Rural 17 0 1 18

2015 138 7 131 23.0 1.2 21.9 0 0 4 3 14 113 4 0 17 1 1 19Logan Township 2016 97 5 92 16.2 0.8 15.4 0 0 1 4 14 71 7 0 5,983 23.42 255.5 Rural 17 1 1 19

2015 234 6 228 15.5 0.4 15.1 0 0 3 3 36 183 9 0 26 1 2 29Mantua Township 2016 279 5 274 18.5 0.3 18.2 0 0 2 3 53 215 6 2 15,054 15.96 943.2 Suburban 25 1 2 28

2015 598 36 562 16.3 1.0 15.3 1 2 8 25 129 419 14 1 65 1 6 72Monroe Township 2016 583 34 549 15.8 0.9 14.9 0 1 20 13 139 394 16 2 36,862 46.96 785.0 Suburban 66 1 6 73

2015 52 4 48 17.3 1.3 16.0 0 0 3 1 11 29 8 0 0 0 0 0National Park Boro 2016 48 5 43 16.0 1.7 14.3 0 0 2 3 17 25 1 1 2,999 1.00 2,999.0 Suburban 0 0 0 0

2015 14 0 14 9.1 0.0 9.1 0 0 0 0 6 8 0 0 5 0 0 5Newfield Boro 2016 16 1 15 10.4 0.7 9.8 0 0 1 0 3 12 0 0 1,534 1.71 897.1 Rural 5 0 0 5

2015 258 30 228 42.9 5.0 37.9 0 0 22 8 77 145 6 0 16 2 1 19Paulsboro Boro 2016 192 22 170 32.1 3.7 28.4 2 1 14 5 56 111 3 1 5,989 2.09 2,865.6 Suburban 16 2 2 20

2015 100 7 93 11.2 0.8 10.4 0 0 0 7 20 70 3 0 16 0 1 17Pitman Boro 2016 57 2 55 6.4 0.2 6.2 0 0 0 2 10 42 3 0 8,898 2.26 3,937.2 Suburban 16 0 1 17

2015 22 0 22 7.0 0.0 7.0 0 0 0 0 9 12 1 0 4 1 0 5South Harrison Township 2016 13 0 13 4.1 0.0 4.1 0 0 0 0 5 7 1 0 3,138 15.63 200.8 Rural 4 1 0 5


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 33 2 31 12.7 0.8 11.9 0 1 0 1 6 24 1 0 0 0 0 0Swedesboro Boro 2016 27 1 26 10.3 0.4 10.0 1 0 0 0 8 15 3 0 2,613 0.77 3,393.5 Rural 0 0 0 0

2015 1,006 46 960 21.0 1.0 20.0 0 0 14 32 199 736 25 1 72 3 7 82Washington Township 2016 919 53 866 19.2 1.1 18.1 0 2 15 36 177 655 34 0 47,862 21.65 2,210.7 Suburban 74 3 7 84

2015 47 0 47 20.8 0.0 20.8 0 0 0 0 6 38 3 0 6 1 0 7Wenonah Boro 2016 17 0 17 7.5 0.0 7.5 0 0 0 0 7 9 1 0 2,254 0.99 2,276.8 Suburban 6 1 0 7

2015 377 17 360 17.6 0.8 16.8 0 0 9 8 82 261 17 2 40 1 3 44West Deptford Township 2016 287 16 271 13.4 0.7 12.7 2 0 7 7 65 193 13 1 21,420 16.18 1,323.9 Suburban 42 1 3 46

2015 120 7 113 28.4 1.7 26.7 0 0 0 7 40 69 4 0 12 0 1 13Westville Boro 2016 108 7 101 25.6 1.7 23.9 0 0 6 1 17 76 8 0 4,224 1.21 3,490.9 Urban Ctr. 11 0 1 12

2015 494 36 458 49.2 3.6 45.6 0 0 26 10 66 373 19 3 26 2 2 30Woodbury City 2016 438 37 401 43.7 3.7 40.0 0 0 24 13 76 301 24 1 10,020 2.13 4,704.2 Urban Ctr. 26 3 3 32

2015 80 6 74 26.5 2.0 24.5 0 0 4 2 11 62 1 0 6 1 1 8Woodbury Height South Boro 2016 67 3 64 22.3 1.0 21.3 0 0 3 0 8 53 3 0 3,010 1.23 2,447.2 Suburban 6 1 1 8

2015 51 5 46 4.2 0.4 3.8 0 0 2 3 14 30 2 0 19 0 1 20Woolwich Township 2016 52 3 49 4.2 0.2 4.0 0 0 2 1 8 37 4 0 12,295 21.48 572.4 Rural 23 0 1 24GLOUCESTER COUNTY 2015 6,316 333 5,983 21.7 1.1 20.6 2 18 147 166 1,243 4,574 166 18 531 25 47 603TOTAL 2016 5,735 337 5,398 19.7 1.2 18.5 6 21 160 150 1,203 4,003 192 16 291,479 328.36 887.7 540 26 48 614

HUDSON COUNTY 2015 951 161 790 14.3 2.4 11.9 1 17 46 97 158 589 43 2 167 13 112 292

Bayonne City 2016 899 150 749 13.6 2.3 11.3 2 10 58 80 93 604 52 3 66,311 5.39 12,302.6 Urban Ctr. 168 14 102 284

2015 31 0 31 11.6 0.0 11.6 0 0 0 0 5 25 1 0 6 0 0 6East Newark Boro 2016 34 0 34 12.8 0.0 12.8 0 0 0 0 2 31 1 0 2,665 0.10 26,650.0 Urban Ctr. 8 0 0 8

2015 143 27 116 12.2 2.3 9.9 0 2 10 15 28 82 6 0 20 2 5 27Guttenberg Town 2016 101 14 87 8.7 1.2 7.5 0 1 0 13 18 62 7 1 11,665 0.20 58,325.0 Urban Ctr. 22 2 16 40

2015 336 41 295 22.4 2.7 19.7 0 3 17 21 29 234 32 0 37 0 11 48Harrison Town 2016 396 41 355 25.6 2.6 22.9 0 0 23 18 55 252 48 0 15,474 1.20 12,895.0 Urban Ctr. 35 0 11 46

2015 1,124 146 978 21.1 2.7 18.4 0 9 33 104 95 845 38 1 127 5 18 150Hoboken City 2016 1,129 122 1,007 21.0 2.3 18.8 0 2 23 97 105 872 30 1 53,635 1.30 41,257.7 Urban Ctr. 120 6 19 145

2015 5,784 1,417 4,367 22.0 5.4 16.6 27 98 568 724 979 2,782 606 62 706 108 122 936Jersey City 2016 5,923 1,319 4,604 22.4 5.0 17.4 24 88 557 650 953 3,097 554 40 264,290 14.65 18,040.3 Urban Ctr. 752 113 414 1,279

2015 868 71 797 20.6 1.7 18.9 0 0 28 43 99 609 89 2 104 6 6 116Kearny Town 2016 866 85 781 20.6 2.0 18.5 0 2 49 34 61 610 110 3 42,137 9.30 4,530.9 Urban Ctr. 103 6 6 115

2015 774 116 658 12.3 1.8 10.4 1 17 24 74 106 485 67 1 103 14 10 127North Bergen Township 2016 711 107 604 11.3 1.7 9.6 1 17 35 54 81 446 77 3 62,993 5.40 11,665.4 Urban Ctr. 105 15 10 130

2015 559 36 523 30.4 2.0 28.4 0 0 16 20 42 443 38 0 62 3 13 78Secaucus Town 2016 436 40 396 22.8 2.1 20.7 0 3 11 26 32 338 26 0 19,104 5.80 3,293.8 Urban Ctr. 61 4 11 76

2015 1,325 166 1,159 19.1 2.4 16.7 0 0 60 106 137 913 109 3 147 20 35 202Union City 2016 1,347 212 1,135 19.5 3.1 16.4 1 1 72 138 116 915 104 2 69,156 1.40 49,397.1 Urban Ctr. 143 19 87 249

2015 323 16 307 24.4 1.2 23.2 0 0 8 8 56 230 21 0 50 1 10 61Weehawken Township 2016 303 16 287 21.6 1.1 20.4 0 1 4 11 35 231 21 0 14,040 0.78 18,000.0 Urban Ctr. 47 1 13 61

2015 765 135 630 14.6 2.6 12.1 3 7 46 79 121 472 37 4 98 6 11 115West New York Town 2016 679 130 549 12.7 2.4 10.3 2 11 46 71 106 401 42 0 53,366 0.90 59,295.6 Urban Ctr. 102 7 10 119HUDSON COUNTY 2015 12,983 2,332 10,651 19.4 3.5 15.9 32 153 856 1,291 1,855 7,709 1,087 75 1,627 178 353 2,158TOTAL 2016 12,824 2,236 10,588 19.0 3.3 15.7 30 136 878 1,192 1,657 7,859 1,072 53 674,836 46.42 14,537.6 1,666 187 699 2,552


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


HUNTERDON COUNTY2015 21 2 19 4.3 0.4 3.9 0 0 0 2 10 8 1 0 0 0 0 0

Alexandria Township 2016 17 0 17 3.5 0.0 3.5 0 0 0 0 9 8 0 0 4,854 28.20 172.1 Rural 0 0 0 0

2015 11 1 10 2.8 0.3 2.6 0 0 0 1 4 6 0 0 0 0 0 0Bethlehem Township 2016 9 1 8 2.3 0.3 2.1 0 0 1 0 2 5 1 0 3,889 20.60 188.8 Rural 0 0 0 0

2015 14 2 12 16.4 2.3 14.1 0 1 0 1 1 10 1 0 0 0 0 0Bloomsbury Boro 2016 11 1 10 13.0 1.2 11.8 0 0 0 1 5 5 0 1 848 0.80 1,060.0 Rural 0 0 0 0

2015 1 0 1 0.9 0.0 0.9 0 0 0 0 1 0 0 0 0 0 0 0Califon Boro 2016 2 0 2 1.9 0.0 1.9 0 0 0 0 0 2 0 0 1,080 0.90 1,200.0 Rural 0 0 0 0

2015 29 0 29 10.9 0.0 10.9 0 0 0 0 8 21 0 0 9 0 0 9Clinton Town 2016 31 4 27 11.7 1.5 10.2 0 1 0 3 4 21 2 0 2,657 1.30 2,043.8 Rural 10 0 0 10

2015 50 4 46 3.8 0.3 3.5 0 0 0 4 15 27 4 0 21 2 1 24Clinton Township 2016 50 4 46 3.8 0.3 3.5 0 1 0 3 9 36 1 0 13,022 30.06 433.2 Rural 20 2 1 23

2015 25 3 22 5.5 0.7 4.9 0 0 0 3 7 15 0 0 7 0 1 8Delaware Township 2016 13 1 12 2.9 0.2 2.7 0 0 0 1 7 5 0 1 4,491 36.90 121.7 Rural 7 0 1 8

2015 10 0 10 2.5 0.0 2.5 0 0 0 0 7 3 0 0 0 0 0 0East Amwell Township 2016 23 0 23 5.9 0.0 5.9 0 0 0 0 11 11 1 0 3,925 28.10 139.7 Rural 0 0 0 0

2015 78 7 71 16.7 1.5 15.2 0 2 0 5 5 63 3 0 15 1 0 16Flemington Boro 2016 73 8 65 15.7 1.7 14.0 0 1 1 6 10 55 0 0 4,641 1.10 4,219.1 Urban Ctr. 12 1 1 14


2015 18 1 17 13.0 0.7 12.3 0 0 0 1 3 14 0 0 3 0 0 3Frenchtown Boro 2016 14 0 14 10.1 0.0 10.1 0 0 0 0 0 14 0 0 1,386 1.10 1,260.0 Rural 3 0 0 3

2015 9 1 8 5.4 0.6 4.8 0 0 0 1 6 2 0 0 0 0 0 0Glen Gardner Boro 2016 8 0 8 4.8 0.0 4.8 0 0 0 0 2 6 0 0 1,663 1.46 1,139.0 Rural 0 0 0 0

2015 5 1 4 3.7 0.7 2.9 0 0 1 0 0 4 0 0 0 0 0 0Hampton Boro 2016 7 2 5 5.1 1.5 3.7 0 0 0 2 1 4 0 0 1,361 1.40 972.1 Rural 0 0 0 0

2015 38 1 37 10.6 0.3 10.4 0 0 0 1 14 22 1 1 7 0 0 7High Bridge Boro 2016 31 2 29 8.7 0.6 8.2 0 0 0 2 13 15 1 1 3,556 2.30 1,546.1 Rural 7 0 0 7

2015 28 2 26 5.4 0.4 5.0 0 0 0 2 7 16 3 0 6 0 1 7Holland Township 2016 21 1 20 4.1 0.2 3.9 0 1 0 0 6 14 0 0 5,162 22.70 227.4 Rural 6 0 1 7

2015 22 0 22 5.8 0.0 5.8 0 0 0 0 12 10 0 0 0 0 0 0Kingwood Township 2016 11 1 10 2.9 0.3 2.6 0 0 1 0 2 6 2 0 3,784 35.60 106.3 Rural 0 0 0 0

2015 50 3 47 13.0 0.8 12.2 0 1 0 2 8 37 2 0 9 0 3 12Lambertville City 2016 66 4 62 17.2 1.0 16.2 0 3 1 0 5 55 2 0 3,833 1.10 3,484.5 Rural 10 0 3 13

2015 10 1 9 5.9 0.6 5.3 0 0 0 1 0 9 0 0 0 0 0 0Lebanon Boro 2016 10 0 10 6.0 0.0 6.0 0 0 0 0 3 7 0 0 1,671 1.23 1,358.5 Rural 0 0 0 0

2015 29 0 29 4.5 0.0 4.5 0 0 0 0 12 16 1 0 9 0 1 10Lebanon Township 2016 33 2 31 5.2 0.3 4.8 0 2 0 0 8 21 2 0 6,393 31.85 200.7 Rural 7 0 1 8

2015 10 0 10 8.3 0.0 8.3 0 0 0 0 6 4 0 0 0 0 0 0Milford Boro 2016 8 4 4 6.6 3.3 3.3 0 0 0 4 2 2 0 0 1,204 1.30 926.2 Rural 0 0 0 0

2015 111 12 99 5.0 0.5 4.5 0 0 0 12 17 80 2 0 32 1 3 36Raritan Township 2016 114 2 112 5.2 0.1 5.1 0 0 0 2 26 81 5 0 22,041 38.60 571.0 Suburban 32 1 3 36

2015 117 4 113 7.3 0.3 7.1 0 0 1 3 23 89 1 0 23 0 5 28Readington Township 2016 101 8 93 6.3 0.5 5.8 0 1 2 5 29 63 1 0 15,931 47.65 334.3 Rural 23 0 2 25


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 2 0 2 3.8 0.0 3.8 0 0 0 0 1 1 0 0 0 0 0 0Stockton Boro 2016 5 1 4 9.5 1.9 7.6 0 1 0 0 1 3 0 0 524 0.55 952.7 Rural 0 0 0 0

2015 18 0 18 3.0 0.0 3.0 0 0 0 0 6 11 1 1 9 0 1 10Tewksbury Township 2016 28 0 28 4.8 0.0 4.8 0 0 0 0 6 20 2 0 5,884 31.80 185.0 Rural 10 0 1 11

2015 36 6 30 6.3 1.0 5.2 0 2 0 4 2 27 1 1 0 0 0 0Union Township 2016 20 2 18 3.5 0.4 3.2 0 1 1 0 5 11 2 0 5,679 18.10 313.8 Rural 0 0 0 0

2015 22 3 19 7.9 1.1 6.8 0 0 0 3 4 12 3 0 7 0 0 7West Amwell Township 2016 35 2 33 12.6 0.7 11.9 0 0 0 2 3 30 0 0 2,780 21.60 128.7 Rural 7 0 0 7HUNTERDON COUNTY 2015 802 54 748 6.4 0.4 5.9 0 6 2 46 182 541 25 3 162 4 16 182TOTAL 2016 758 51 707 6.0 0.4 5.6 0 12 7 32 169 516 22 3 125,488 429.60 292.1 160 4 14 178

MERCER COUNTY2015 258 12 246 9.3 0.4 8.9 0 1 2 9 32 199 15 2 41 2 13 56

East Windsor Township 2016 245 17 228 8.9 0.6 8.3 1 3 3 10 32 191 5 1 27,603 15.60 1,769.4 Suburban 41 2 6 49

2015 853 86 767 23.4 2.4 21.0 2 10 43 31 139 593 35 5 69 6 20 95Ewing Township 2016 834 77 757 22.9 2.1 20.7 2 14 36 25 145 578 34 4 36,486 15.13 2,411.5 Suburban 69 6 19 94

2015 1,685 161 1,524 18.9 1.8 17.1 1 12 66 82 336 1,052 136 10 158 8 36 202Hamilton Township 2016 1,688 163 1,525 19.0 1.8 17.1 2 10 85 66 320 1,117 88 5 89,030 39.38 2,260.8 Suburban 161 8 36 205

2015 68 14 54 12.3 2.5 9.7 0 2 0 12 8 45 1 0 10 1 3 18Hightstown Boro 2016 47 6 41 8.5 1.1 7.4 0 1 4 1 3 37 1 0 5,517 1.23 4,485.4 Rural 12 1 1 14

2015 9 0 9 4.7 0.0 4.7 0 0 0 0 2 7 0 0 0 0 0 0Hopewell Boro 2016 6 1 5 3.1 0.5 2.6 0 1 0 0 0 5 0 0 1,929 0.75 2,572.0 Rural 0 0 0 0

2015 115 3 112 6.2 0.2 6.0 0 0 0 3 27 82 3 1 28 3 8 39Hopewell Township 2016 104 3 101 5.6 0.2 5.4 0 1 0 2 22 78 1 0 18,606 58.00 320.8 Rural 27 3 8 38

2015 752 50 702 22.5 1.5 21.0 0 3 16 31 62 620 20 0 54 5 6 65Lawrence Township 2016 709 43 666 21.3 1.3 20.0 0 5 17 21 60 592 14 1 33,242 21.87 1,520.0 Suburban 53 5 4 62

2015 7 1 6 2.7 0.4 2.3 0 1 0 0 1 5 0 0 5 0 1 6Pennington Boro 2016 8 0 8 3.1 0.0 3.1 0 0 0 0 1 7 0 0 2,598 0.99 2,624.2 Suburban 5 0 1 6

2015 651 14 637 22.4 0.5 21.9 0 1 2 11 60 561 16 1 43 8 21 72Princeton 2016 531 23 508 17.9 0.8 17.2 0 5 5 13 62 427 19 0 29,603 18.01 1,643.7 Suburban 44 8 18 70

2015 3,143 1,029 2,114 37.1 12.2 25.0 17 50 405 557 777 859 478 26 207 32 76 315Trenton City 2016 3,400 1,140 2,260 40.4 13.5 26.8 21 63 429 627 893 992 375 19 84,225 7.50 11,230.0 Urban Ctr. 174 30 132 336

2015 131 11 120 9.3 0.8 8.5 0 7 1 3 25 91 4 1 26 2 9 37Robbinsville Township 2016 69 7 62 4.9 0.5 4.4 0 3 3 1 14 48 0 0 14,176 20.70 684.8 Rural 26 1 7 34

2015 417 20 397 14.7 0.7 14.0 0 5 5 10 41 352 4 3 43 4 12 59West Windsor Township 2016 473 15 458 16.7 0.5 16.1 0 1 5 9 40 414 4 1 28,383 26.84 1,057.5 Suburban 44 3 12 59MERCER COUNTY 2015 8,089 1,401 6,688 21.8 3.8 18.0 20 92 540 749 1,510 4,466 712 49 684 71 205 960TOTAL 2016 8,114 1,495 6,619 21.8 4.0 17.8 26 107 587 775 1,592 4,486 541 31 371,398 226 1,643.4 656 67 244 967

MIDDLESEX COUNTY 2015 328 34 294 13.6 1.4 12.2 1 2 17 14 46 224 24 11 56 3 8 67

Carteret Boro 2016 281 38 243 11.6 1.6 10.1 3 2 17 16 39 175 29 0 24,170 4.30 5,620.9 Urban Ctr. 52 5 8 65

2015 45 7 38 11.4 1.8 9.6 0 0 1 6 6 32 0 0 15 2 1 18Cranbury Township 2016 40 3 37 10.1 0.8 9.3 0 0 0 3 3 33 1 0 3,958 13.38 295.8 Suburban 15 2 1 18

2015 131 7 124 17.7 0.9 16.7 0 0 4 3 23 97 4 0 16 0 0 16Dunellen Boro 2016 55 0 55 7.4 0.0 7.4 0 0 0 0 5 44 6 0 7,431 1.04 7,145.2 Urban Ctr. 16 0 1 17


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 822 38 784 15.4 0.8 14.6 0 7 12 19 81 689 14 3 78 5 23 106East Brunswick Township 2016 755 25 730 15.4 0.5 14.9 0 1 11 13 71 651 8 5 48,976 22.20 2,206.1 Suburban 79 5 26 110

2015 1,359 105 1,254 13.3 1.0 12.2 0 1 50 54 234 928 92 14 161 9 48 218Edison Township 2016 1,215 105 1,110 11.8 1.0 10.8 0 7 37 61 165 864 81 1 102,701 30.65 3,350.8 Suburban 167 10 49 226

2015 17 1 16 7.6 0.4 7.2 0 0 0 1 3 13 0 0 7 0 0 7Helmetta Boro 2016 11 0 11 4.9 0.0 4.9 0 0 0 0 4 7 0 0 2,231 0.80 2,788.8 Suburban 7 0 0 7

2015 145 6 139 10.1 0.4 9.7 0 0 4 2 16 116 7 0 25 1 7 33Highland Park Boro 2016 180 1 179 12.5 0.1 12.5 0 0 1 0 27 147 5 1 14,347 1.80 7,970.6 Urban Ctr. 26 2 7 35

2015 43 5 38 7.2 0.8 6.3 0 0 1 4 5 31 2 0 13 0 4 17Jamesburg Boro 2016 57 6 51 9.5 1.0 8.5 0 2 3 1 16 32 3 0 6,029 0.87 6,929.9 Rural 13 0 4 17

2015 911 43 868 13.6 0.6 12.9 1 0 14 28 117 706 45 2 85 1 24 110Old Bridge Township 2016 699 29 670 10.4 0.4 10.0 1 1 5 22 68 572 30 2 67,215 38.31 1,754.5 Suburban 87 3 27 117

2015 179 7 172 12.9 0.5 12.4 0 0 0 7 30 134 8 0 26 0 5 31Metuchen Boro 2016 183 5 178 13.2 0.4 12.8 0 0 3 2 38 132 8 0 13,886 2.75 5,049.5 Urban Ctr. 28 0 5 33

2015 128 12 116 9.2 0.9 8.3 0 3 6 3 35 76 5 1 27 1 1 29Middlesex Boro 2016 96 5 91 6.9 0.4 6.5 0 2 1 2 20 69 2 0 13,934 3.45 4,038.8 Suburban 28 1 2 31

2015 51 2 49 7.2 0.3 7.0 0 0 1 1 4 45 0 0 15 0 3 18Milltown Boro 2016 92 5 87 13.1 0.7 12.3 1 2 1 1 10 77 0 1 7,049 1.60 4,405.6 Suburban 16 0 3 19

2015 172 3 169 4.0 0.1 3.9 0 0 0 3 36 122 11 1 51 3 18 72Monroe Township 2016 167 5 162 3.8 0.1 3.7 0 0 0 5 30 123 9 0 44,141 41.80 1,056.0 Suburban 52 3 17 72

2015 2,033 435 1,598 35.8 7.7 28.1 2 31 239 163 366 1,155 77 4 134 5 31 170New Brunswick City 2016 2,010 407 1,603 35.2 7.1 28.1 1 44 212 150 352 1,177 74 16 57,035 5.50 10,370.0 Urban Ctr. 138 6 35 179

2015 738 73 665 17.3 1.7 15.6 0 9 20 44 131 496 38 3 74 4 17 95North Brunswick Township 2016 670 65 605 15.7 1.5 14.2 0 8 19 38 107 472 26 1 42,725 12.00 3,560.4 Suburban 76 5 17 98

2015 1,076 233 843 20.4 4.4 16.0 3 6 101 123 254 494 95 3 99 11 26 136Perth Amboy City 2016 1,017 210 807 19.3 4.0 15.3 0 7 68 135 185 535 87 4 52,682 4.55 11,578.5 Urban Ctr. 108 11 25 144

2015 799 54 745 13.8 0.9 12.9 1 5 12 36 164 559 22 2 77 7 19 103Piscataway Township 2016 705 49 656 12.1 0.8 11.3 1 9 10 29 111 520 25 0 58,069 18.90 3,072.4 Suburban 77 8 20 105

2015 140 6 134 5.9 0.3 5.7 0 0 1 5 27 96 11 0 36 0 8 44Plainsboro Township 2016 149 9 140 6.3 0.4 5.9 0 0 0 9 22 105 13 0 23,621 11.80 2,001.8 Suburban 35 0 12 47

2015 501 39 462 11.2 0.9 10.4 0 2 10 27 77 337 48 2 84 3 11 98Sayreville Boro 2016 410 30 380 9.1 0.7 8.5 1 4 7 18 48 299 33 0 44,920 16.60 2,706.0 Suburban 79 5 12 96

2015 114 14 100 12.9 1.6 11.3 0 1 2 11 25 66 9 0 22 1 5 28South Amboy City 2016 99 4 95 11.2 0.5 10.7 0 1 1 2 31 54 10 0 8,846 1.45 6,100.7 Urban Ctr. 23 2 2 27

2015 450 30 420 9.9 0.7 9.3 2 1 8 19 101 295 24 2 76 2 26 104South Brunswick Township 2016 401 18 383 8.8 0.4 8.4 0 3 8 7 79 275 29 2 45,664 41.00 1,113.8 Suburban 78 2 26 106

2015 408 27 381 17.0 1.1 15.9 0 0 13 14 53 316 12 1 49 2 14 65South Plainfield Boro 2016 440 33 407 18.1 1.4 16.8 0 0 15 18 34 349 24 1 24,290 8.20 2,962.2 Suburban 50 2 15 67

2015 180 23 157 11.0 1.4 9.6 0 6 7 10 19 136 2 3 31 1 10 42South River Boro 2016 152 14 138 9.3 0.9 8.4 0 1 1 12 27 107 4 5 16,399 2.80 5,856.8 Urban Ctr. 32 2 36 70

2015 70 6 64 8.3 0.7 7.6 0 0 1 5 9 54 1 0 20 0 4 24Spotswood Boro 2016 67 8 59 7.9 0.9 7.0 0 0 1 7 7 52 0 0 8,476 2.15 3,942.3 Suburban 21 0 4 25

2015 1,830 117 1,713 18.0 1.1 16.8 1 0 49 67 238 1,361 114 6 183 10 62 255Woodbridge Township 2016 1,838 110 1,728 18.0 1.1 16.9 1 10 47 52 226 1,402 100 8 102,105 23.10 4,420.1 Urban Ctr. 184 10 58 252MIDDLESEX COUNTY 2015 12,670 1,327 11,343 15.1 1.6 13.5 11 74 573 669 2,100 8,578 665 58 1,460 71 375 1,906TOTAL 2016 11,789 1,184 10,605 14.0 1.4 12.6 9 104 468 603 1,725 8,273 607 47 840,900 311.00 2,703.9 1,487 84 412 1,983


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


MONMOUTH COUNTY2015 12 0 12 24.3 0.0 24.3 0 0 0 0 2 10 0 0 9 0 4 13

Allenhurst Boro 2016 16 0 16 32.6 0.0 32.6 0 0 0 0 1 15 0 0 491 0.30 1,636.7 Suburban 9 0 4 13

2015 8 0 8 4.4 0.0 4.4 0 0 0 0 0 8 0 0 5 0 1 6Allentown Boro 2016 11 1 10 6.0 0.5 5.5 0 0 0 1 3 7 0 0 1,825 0.60 3,041.7 Rural 5 0 1 6

2015 972 232 740 61.1 14.6 46.5 3 9 92 128 126 589 25 4 81 9 3 93Asbury Park City 2016 947 223 724 59.9 14.1 45.8 2 7 101 113 145 558 21 4 15,818 1.50 10,545.3 Urban Ctr. 79 8 3 90

2015 39 2 37 3.9 0.2 3.7 0 0 0 2 9 26 2 0 19 1 1 21Colts Neck Township 2016 67 5 62 6.7 0.5 6.2 0 1 0 4 14 45 3 0 10,039 31.70 316.7 Suburban 19 1 1 21

2015 66 1 65 15.2 0.2 15.0 0 0 1 0 12 53 0 0 14 0 5 19Atlantic Highlands 2016 38 3 35 8.8 0.7 8.1 0 0 1 2 4 31 0 0 4,311 1.20 3,592.5 Suburban 14 0 5 19

2015 29 0 29 16.1 0.0 16.1 0 0 0 0 2 26 1 0 11 0 0 11Avon-By-The-Sea Boro 2016 30 0 30 16.7 0.0 16.7 0 0 0 0 7 22 1 0 1,794 0.40 4,485.0 Suburban 11 0 0 11

2015 188 19 169 32.9 3.3 29.6 0 4 5 10 32 133 4 0 20 1 5 26Belmar Boro 2016 192 16 176 33.6 2.8 30.8 0 1 3 12 12 159 5 1 5,712 1.00 5,712.0 Suburban 20 2 7 29

2015 117 3 114 27.3 0.7 26.6 0 0 0 3 20 91 3 0 16 1 3 20Bradley Beach Boro 2016 85 6 79 19.9 1.4 18.5 0 0 3 3 7 72 0 0 4,268 0.70 6,097.1 Suburban 17 1 3 21

2015 29 2 27 6.1 0.4 5.7 0 1 1 0 11 16 0 0 14 0 1 15Brielle Boro 2016 22 0 22 4.6 0.0 4.6 0 0 0 0 3 19 0 0 4,757 1.65 2,883.0 Suburban 14 0 1 15

2015 30 3 27 40.5 4.1 36.5 0 0 1 2 11 16 0 0 18 0 4 22Deal Boro 2016 33 1 32 44.7 1.4 43.4 0 0 0 1 9 23 0 0 738 1.20 615.0 Suburban 18 0 4 22

2015 509 41 468 41.5 3.3 38.2 1 3 15 22 42 414 12 0 35 2 7 44Eatontown Boro 2016 441 39 402 35.9 3.2 32.7 0 3 17 19 34 364 4 0 12,301 5.80 2,120.9 Suburban 35 2 8 45

2015 39 1 38 19.9 0.5 19.4 0 1 0 0 2 35 1 1 6 1 0 7Englishtown Boro 2016 45 2 43 23.0 1.0 22.0 0 0 0 2 6 35 2 0 1,955 0.57 3,429.8 Rural 8 0 0 8

2015 23 0 23 3.8 0.0 3.8 0 0 0 0 2 19 2 0 12 1 0 13Fair Haven Boro 2016 41 1 40 6.8 0.2 6.6 0 0 1 0 2 38 0 1 6,029 1.55 3,889.7 Suburban 12 1 0 13

2015 8 2 6 6.1 1.5 4.6 0 0 1 1 2 3 1 0 0 0 0 0Farmingdale Boro 2016 8 2 6 6.1 1.5 4.6 0 0 2 0 0 4 2 0 1,306 0.50 2,612.0 Rural 0 0 0 0

2015 176 36 140 14.7 3.0 11.7 0 1 21 14 41 94 5 1 25 2 3 30Freehold Boro 2016 141 22 119 11.8 1.8 10.0 0 0 8 14 26 91 2 0 11,959 1.90 6,294.2 Rural 26 2 3 31

2015 626 23 603 17.5 0.6 16.8 0 3 11 9 34 559 10 3 67 0 4 71Freehold Township 2016 657 47 610 18.3 1.3 17.0 0 2 8 37 54 550 6 0 35,807 36.97 968.5 Suburban 65 0 4 69

2015 66 5 61 13.5 1.0 12.4 0 0 0 5 12 47 2 0 14 0 3 17Highlands Boro 2016 31 8 23 6.4 1.6 4.7 0 0 2 6 4 18 1 0 4,867 0.64 7,604.7 Suburban 16 0 3 19

2015 147 13 134 8.8 0.8 8.0 1 2 0 10 17 115 2 0 39 1 8 48Holmdel Township 2016 178 7 171 10.7 0.4 10.3 0 1 0 6 30 138 3 0 16,671 17.90 931.3 Suburban 40 1 9 50

2015 532 46 486 10.2 0.9 9.3 0 2 11 33 89 383 14 2 83 5 16 104Howell Township 2016 430 45 385 8.3 0.9 7.4 0 3 9 33 77 299 9 1 52,104 62.10 839.0 Suburban 81 5 16 102

2015 13 0 13 16.0 0.0 16.0 0 0 0 0 5 8 0 0 0 0 0 0Interlaken Boro 2016 11 0 11 13.6 0.0 13.6 0 0 0 0 4 7 0 0 808 0.38 2,126.3 Suburban 0 0 0 0

2015 273 24 249 27.6 2.4 25.2 0 1 6 17 34 212 3 2 31 3 11 45Keansburg Boro 2016 213 30 183 21.6 3.0 18.5 0 1 13 16 21 154 8 2 9,873 1.01 9,775.2 Suburban 31 3 9 43

2015 124 15 109 17.3 2.1 15.2 0 2 7 6 21 79 9 2 14 2 6 22Keyport Boro 2016 118 23 95 16.5 3.2 13.3 0 0 7 16 17 75 3 1 7,145 1.40 5,103.6 Suburban 15 2 6 235 27 165 256 210,846 171 533 29 85 6472 19 168 269 210,578 171 535 28 87 650


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 53 1 52 9.0 0.2 8.8 0 0 0 1 6 43 3 0 16 0 10 26Little Silver Boro 2016 47 2 45 7.9 0.3 7.6 0 0 1 1 3 42 0 0 5,913 2.80 2,111.8 Suburban 16 0 4 20

2015 9 0 9 47.4 0.0 47.4 0 0 0 0 2 6 1 0 0 0 0 0Loch Arbour Village 2016 9 0 9 48.1 0.0 48.1 0 0 0 0 3 6 0 0 187 0.10 1,870.0 Suburban 0 0 0 0

2015 781 97 684 25.3 3.1 22.2 4 9 40 44 143 520 21 3 80 7 22 109Long Branch City 2016 862 107 755 27.9 3.5 24.4 1 13 37 56 107 631 17 0 30,941 5.10 6,066.9 Urban Ctr. 76 6 21 103

2015 311 27 284 7.8 0.7 7.1 0 2 9 16 52 224 8 0 51 4 4 59Manalapan Township 2016 268 27 241 6.7 0.7 6.0 0 4 4 19 39 195 7 0 40,169 30.85 1,302.1 Suburban 50 4 3 57

2015 124 7 117 21.5 1.2 20.3 0 2 2 3 17 96 4 0 17 1 5 23Manasquan Boro 2016 119 0 119 20.5 0.0 20.5 0 0 0 0 15 103 1 0 5,815 1.40 4,153.6 Suburban 15 1 5 21

2015 257 19 238 6.3 0.5 5.8 0 1 5 13 39 186 13 0 64 5 21 90Marlboro Township 2016 253 10 243 6.2 0.2 6.0 0 1 2 7 25 202 16 0 40,671 30.38 1,338.7 Suburban 66 7 30 103

2015 52 3 49 5.9 0.3 5.5 0 1 1 1 17 31 1 0 20 1 1 22Matawan Boro 2016 38 2 36 4.3 0.2 4.1 0 0 1 1 5 26 5 0 8,853 2.26 3,917.3 Suburban 20 1 1 22

2015 203 17 186 11.0 0.9 10.1 1 2 4 10 30 150 6 2 33 2 7 42Aberdeen Township 2016 165 18 147 8.9 1.0 7.9 0 2 5 11 33 106 8 0 18,503 5.45 3,395.0 Suburban 33 2 7 42

2015 550 25 525 8.3 0.4 7.9 0 6 5 14 88 425 12 2 94 9 24 127Middletown Township 2016 477 17 460 7.2 0.3 7.0 0 3 4 10 63 387 10 1 66,024 41.02 1,609.6 Suburban 102 10 23 135

2015 77 11 66 7.3 1.0 6.3 0 3 0 8 29 35 2 0 0 0 0 0Millstone Township 2016 76 5 71 7.3 0.5 6.8 0 2 0 3 30 40 1 0 10,443 37.38 279.4 Rural 0 0 0 0

2015 39 2 37 12.0 0.6 11.4 0 0 0 2 7 27 3 0 9 0 1 10Monmouth Beach Boro 2016 54 8 46 16.7 2.5 14.2 0 1 2 5 5 41 0 0 3,239 1.10 2,944.5 Suburban 9 0 1 10

2015 1,344 154 1,190 48.7 5.6 43.1 0 4 50 100 162 1,005 23 4 67 5 11 83Neptune Township 2016 1,075 158 917 39.0 5.7 33.3 3 5 64 86 132 774 11 3 27,574 8.00 3,446.8 Suburban 69 4 10 83

2015 166 11 155 34.4 2.3 32.1 0 1 3 7 18 130 7 0 16 1 2 19Neptune City Boro 2016 155 13 142 32.3 2.7 29.6 1 0 6 6 23 117 2 0 4,803 0.90 5,336.7 Suburban 16 1 2 19

2015 275 6 269 15.4 0.3 15.1 0 0 4 2 23 239 7 0 39 1 0 40Tinton Falls Boro 2016 279 9 270 15.7 0.5 15.2 0 1 4 4 28 237 5 0 17,772 15.15 1,173.1 Suburban 40 1 1 42

2015 608 19 589 22.4 0.7 21.7 0 0 11 8 78 497 14 4 58 3 13 74Ocean Township 2016 650 35 615 24.0 1.3 22.7 0 1 18 16 94 514 7 3 27,105 11.20 2,420.1 Suburban 57 4 13 74

2015 78 6 72 13.5 1.0 12.5 0 1 2 3 13 58 1 0 13 1 1 15Oceanport Boro 2016 51 6 45 8.9 1.0 7.8 0 0 3 3 6 38 1 0 5,739 3.10 1,851.3 Suburban 14 1 1 16

2015 254 5 249 12.6 0.2 12.3 0 0 4 1 20 225 4 0 35 3 13 51Hazlet Township 2016 218 11 207 10.8 0.5 10.3 0 1 6 4 43 158 6 0 20,097 5.60 3,588.8 Suburban 39 3 8 50

2015 229 28 201 18.7 2.3 16.4 0 4 15 9 17 181 3 0 36 4 7 47Red Bank Boro 2016 232 25 207 19.0 2.0 17.0 0 2 13 10 20 182 5 0 12,204 1.75 6,973.7 Urban Ctr. 36 4 7 47

2015 2 0 2 2.3 0.0 2.3 0 0 0 0 0 2 0 0 0 0 0 0Roosevelt Boro 2016 5 0 5 5.7 0.0 5.7 0 0 0 0 0 4 1 0 871 1.93 451.3 Suburban 0 0 0 0

2015 39 3 36 5.6 0.4 5.2 0 0 2 1 5 31 0 0 15 1 4 20Rumson Boro 2016 40 2 38 5.8 0.3 5.5 0 0 2 0 2 28 8 0 6,926 5.20 1,331.9 Suburban 15 1 4 20

2015 5 2 3 3.7 1.5 2.2 0 0 0 2 0 3 0 0 11 0 0 11Sea Bright Boro 2016 5 2 3 3.7 1.5 2.2 0 0 0 2 0 3 0 0 1,344 0.60 2,240.0 Suburban 11 0 0 11

2015 29 4 25 16.0 2.2 13.8 0 0 1 3 5 18 2 0 11 0 0 11Sea Girt Boro 2016 32 4 28 17.7 2.2 15.5 0 0 0 4 3 24 1 0 1,811 1.05 1,724.8 Suburban 11 0 0 11

2015 71 1 70 17.5 0.2 17.3 0 0 1 0 15 54 1 0 14 2 5 21Shrewsbury Boro 2016 59 1 58 14.3 0.2 14.0 0 0 1 0 3 54 1 0 4,131 2.30 1,796.1 Suburban 14 2 5 215 38 165 254 361,280 215 699 50 151 9005 36 179 264 361,135 215 709 52 146 907


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 7 0 7 6.2 0.0 6.2 0 0 0 0 0 7 0 0 0 0 0 0Shrewsbury Township 2016 3 0 3 2.7 0.0 2.7 0 0 0 0 1 2 0 0 1,122 0.09 12,466.7 Suburban 0 0 0 0

2015 12 1 11 6.9 0.6 6.4 0 1 0 0 2 7 2 0 9 0 0 9Lake Como Boro 2016 39 5 34 22.6 2.9 19.7 0 1 0 4 4 30 0 0 1,725 0.20 8,625.0 Suburban 0 0 0 0

2015 44 0 44 14.7 0.0 14.7 0 0 0 0 10 34 0 0 13 0 0 13Spring Lake Boro 2016 54 1 53 18.2 0.3 17.9 0 0 0 1 7 45 1 0 2,965 1.30 2,280.8 Suburban 13 0 0 13

2015 11 0 11 2.4 0.0 2.4 0 0 0 0 3 8 0 0 12 0 0 12Spring Lake Heights 2016 16 1 15 3.4 0.2 3.2 0 0 0 1 2 13 0 0 4,659 1.30 3,583.8 Suburban 12 0 0 12

2015 44 4 40 7.9 0.7 7.2 0 0 0 4 7 32 1 0 15 1 10 26Union Beach Boro 2016 42 2 40 7.5 0.4 7.1 0 0 0 2 8 30 2 0 5,595 1.80 3,108.3 Suburban 14 1 3 18

2015 32 1 31 4.6 0.1 4.5 0 0 0 1 11 18 2 1 0 0 0 0Upper Freehold Township 2016 32 0 32 4.6 0.0 4.6 0 0 0 0 15 17 0 0 6,887 47.45 145.1 Rural 0 0 0 0

2015 303 18 285 11.6 0.7 11.0 0 1 5 12 53 222 10 0 65 2 17 84Wall Township 2016 281 17 264 10.8 0.7 10.1 0 1 4 12 35 227 2 1 26,055 31.01 840.2 Suburban 64 2 25 91

2015 179 6 173 22.7 0.8 22.0 0 1 5 0 21 148 4 0 20 2 5 27West Long Branch Boro 2016 188 4 184 23.5 0.5 23.0 0 0 3 1 18 160 6 0 7,994 2.83 2,824.7 Suburban 19 2 1 22MONMOUTH COUNTY 2015 10,214 946 9,268 16.2 1.5 14.7 10 68 341 527 1,419 7,598 251 31 1,366 84 268 1,718TOTAL 2016 9,579 973 8,606 15.2 1.5 13.7 7 57 355 554 1,252 7,160 194 18 628,715 471.57 1,333.2 1,366 85 262 1,713

MORRIS COUNTY 2015 93 9 84 11.0 1.1 10.0 0 3 3 3 5 75 4 0 21 0 4 25

Boonton Town 2016 85 7 78 10.1 0.8 9.2 0 1 2 4 8 66 4 0 8,441 2.42 3,488.0 Urban Ctr. 21 0 4 25

2015 16 6 10 3.7 1.4 2.3 0 2 0 4 0 10 0 0 12 0 0 13Boonton Township 2016 20 7 13 4.6 1.6 3.0 0 3 0 4 5 7 1 0 4,363 8.20 532.1 Suburban 13 0 0 13

2015 89 6 83 11.6 0.8 10.8 0 1 0 5 29 50 4 0 15 1 1 17Butler Boro 2016 81 14 67 10.5 1.8 8.7 0 1 1 12 21 45 1 0 7,701 1.97 3,909.1 Urban Ctr. 15 1 1 17

2015 49 0 49 5.4 0.0 5.4 0 0 0 0 6 39 4 0 19 0 4 23Chatham Boro 2016 46 3 43 5.1 0.3 4.8 0 0 1 2 6 33 4 0 8,993 2.35 3,826.8 Suburban 19 0 4 23

2015 41 1 40 3.9 0.1 3.8 0 1 0 0 7 32 1 0 19 1 2 22Chatham Township 2016 45 3 42 4.3 0.3 4.0 0 0 1 2 4 35 3 0 10,585 9.10 1,163.2 Suburban 20 1 2 23

2015 16 0 16 9.6 0.0 9.6 0 0 0 0 2 14 0 0 7 1 1 9Chester Boro 2016 15 0 15 9.0 0.0 9.0 0 0 0 0 0 12 3 0 1,675 1.60 1,046.9 Rural 5 1 1 7

2015 21 0 21 2.6 0.0 2.6 0 0 0 0 6 14 1 0 16 0 1 17Chester Township 2016 35 4 31 4.4 0.5 3.9 0 3 0 1 9 21 1 0 7,963 28.90 275.5 Rural 16 0 1 17

2015 94 5 89 5.6 0.3 5.3 0 0 2 3 21 66 2 0 32 0 10 42Denville Township 2016 84 3 81 5.0 0.2 4.8 0 0 2 1 14 62 5 0 16,818 12.70 1,324.3 Suburban 30 0 10 40

2015 278 31 247 15.2 1.7 13.5 0 0 16 15 44 186 17 0 29 0 2 31Dover Town 2016 262 35 227 14.3 1.9 12.4 0 3 17 15 43 169 15 0 18,346 2.51 7,309.2 Urban Ctr. 33 0 4 37

2015 176 6 170 15.6 0.5 15.1 0 2 1 3 35 128 7 1 34 0 4 38East Hanover Township 2016 134 2 132 11.9 0.2 11.7 0 0 2 0 5 116 11 0 11,269 8.21 1,372.6 Suburban 34 0 4 38

2015 87 3 84 7.4 0.3 7.1 0 0 2 1 12 68 4 1 32 0 7 39Florham Park Boro 2016 107 7 100 9.0 0.6 8.4 0 4 0 3 12 80 8 0 11,835 7.50 1,578.0 Suburban 32 0 6 38

2015 210 9 201 14.6 0.6 14.0 0 0 5 4 13 177 11 1 30 0 7 37Hanover Township 2016 189 12 177 13.1 0.8 12.3 0 3 7 2 19 152 6 0 14,409 10.80 1,334.2 Suburban 30 0 7 37

2015 11 0 11 2.8 0.0 2.8 0 0 0 0 3 8 0 0 11 0 1 12Harding Township 2016 29 0 29 7.4 0.0 7.4 0 0 0 0 13 13 3 0 3,906 20.50 190.5 Suburban 11 0 1 120 9 29 38 126,202 116.760 18 33 46 126,304 116.76


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 146 14 132 6.8 0.7 6.1 0 2 1 11 33 92 7 0 33 0 7 40Jefferson Township 2016 97 15 82 4.5 0.7 3.8 0 0 2 13 13 61 8 0 21,494 41.20 521.7 Suburban 37 0 8 45

2015 36 1 35 3.5 0.1 3.4 1 0 0 0 2 32 1 0 15 1 1 17Kinnelon Boro 2016 50 5 45 4.8 0.5 4.3 0 1 0 4 8 37 0 0 10,392 19.05 545.5 Suburban 15 1 1 17

2015 75 4 71 7.1 0.4 6.8 0 1 0 3 19 46 6 0 20 3 5 28Lincoln Park Boro 2016 79 4 75 7.6 0.4 7.2 0 2 1 1 17 54 4 0 10,405 6.66 1,562.3 Suburban 20 3 6 29

2015 71 4 67 4.4 0.2 4.2 0 0 0 4 8 56 3 0 26 2 7 35Madison Boro 2016 99 3 96 6.1 0.2 6.0 0 1 1 1 14 81 1 1 16,126 4.20 3,839.5 Suburban 26 2 8 36

2015 16 3 13 3.2 0.6 2.6 0 0 0 3 3 9 1 0 11 0 1 12Mendham Boro 2016 19 2 17 3.8 0.4 3.4 0 0 0 2 2 15 0 0 5,001 6.00 833.5 Suburban 11 0 1 12

2015 14 1 13 2.4 0.2 2.2 0 1 0 0 6 6 1 0 14 0 1 15Mendham Township 2016 20 0 20 3.4 0.0 3.4 0 0 0 0 7 11 2 0 5,873 17.60 333.7 Suburban 14 0 1 15

2015 36 4 32 9.8 1.1 8.7 0 0 1 3 1 30 1 0 0 0 0 0Mine Hill Township 2016 31 1 30 8.7 0.3 8.4 0 0 1 0 8 21 1 0 3,578 2.95 1,212.9 Suburban 0 0 0 0

2015 167 8 159 7.7 0.4 7.3 1 3 0 4 20 135 4 0 37 1 6 44Montville Township 2016 263 10 253 12.0 0.5 11.6 0 1 0 9 146 102 5 1 21,850 18.97 1,151.8 Suburban 36 1 6 43

2015 133 6 127 5.9 0.3 5.6 0 0 1 5 14 106 7 0 41 2 7 50Morris Township 2016 146 8 138 6.5 0.4 6.1 0 0 1 7 20 113 5 0 22,633 15.70 1,441.6 Suburban 40 2 5 47

2015 75 7 68 13.3 1.2 12.1 0 4 0 3 5 60 3 0 15 1 2 18Morris Plains Boro 2016 80 6 74 14.2 1.1 13.2 0 1 2 3 6 58 10 1 5,626 2.60 2,163.8 Suburban 16 1 2 19

2015 320 58 262 17.2 3.1 14.1 0 1 29 28 35 204 23 1 52 2 4 58Morristown Town 2016 378 62 316 20.3 3.3 17.0 0 5 33 24 27 275 14 0 18,594 2.86 6,501.4 Urban Ctr. 53 2 4 59

2015 25 0 25 5.8 0.0 5.8 0 0 0 0 2 16 7 0 13 0 0 13Mountain Lakes Boro 2016 47 0 47 11.0 0.0 11.0 0 0 0 0 8 33 6 0 4,288 2.90 1,478.6 Suburban 13 0 1 14

2015 29 0 29 5.5 0.0 5.5 0 0 0 0 3 25 1 0 14 0 1 15Mount Arlington Boro 2016 34 1 33 6.4 0.2 6.2 0 0 0 1 6 26 1 0 5,300 2.25 2,355.6 Suburban 14 0 1 15

2015 221 9 212 7.7 0.3 7.3 0 0 3 6 30 179 3 1 47 4 9 60Mount Olive Township 2016 165 10 155 5.7 0.3 5.3 0 5 3 2 36 115 4 1 29,055 30.06 966.6 Suburban 43 4 9 56

2015 29 3 26 8.9 0.9 8.0 0 3 0 0 11 13 2 0 9 0 0 9Netcong Boro 2016 41 7 34 12.6 2.2 10.5 0 0 4 3 5 26 3 0 3,253 0.90 3,614.4 Rural 9 0 0 9

2015 454 42 412 8.5 0.8 7.7 0 5 8 29 65 325 22 2 89 4 23 116Parsippany-Troy Hills Twp. 2016 420 35 385 7.8 0.7 7.2 0 7 12 16 82 282 21 0 53,641 24.30 2,207.4 Suburban 98 5 21 124

2015 36 1 35 4.1 0.1 4.0 0 0 1 0 5 30 0 0 20 3 2 25Long Hill Township 2016 39 0 39 4.4 0.0 4.4 0 0 0 0 1 36 2 0 8,779 12.50 702.3 Suburban 19 4 2 25

2015 125 4 121 8.0 0.3 7.8 0 0 2 2 31 90 0 0 30 1 5 36Pequannock Township 2016 111 3 108 7.2 0.2 7.0 0 0 1 2 17 91 0 0 15,506 6.95 2,231.1 Suburban 31 0 5 36

2015 127 5 122 4.9 0.2 4.7 0 0 1 4 24 97 1 0 35 1 6 42Randolph Township 2016 132 5 127 5.1 0.2 4.9 0 0 2 3 21 100 6 0 25,957 20.88 1,243.2 Suburban 34 2 5 41

2015 128 2 126 29.9 0.5 29.5 0 0 0 2 7 116 3 1 16 0 4 20Riverdale Boro 2016 136 5 131 31.8 1.2 30.7 0 1 1 3 4 123 4 0 4,273 1.87 2,285.0 Suburban 16 0 4 20

2015 73 0 73 11.2 0.0 11.2 0 0 0 0 20 46 7 0 13 0 1 14Rockaway Boro 2016 90 4 86 13.9 0.6 13.2 0 0 4 0 12 71 3 0 6,494 2.00 3,247.0 Suburban 14 0 1 15

2015 446 17 429 18.1 0.7 17.5 0 1 3 13 34 387 8 0 49 3 10 62Rockaway Township 2016 394 13 381 16.0 0.5 15.4 0 0 8 5 22 352 7 0 24,679 42.35 582.7 Suburban 48 2 11 61

2015 266 8 258 11.3 0.3 11.0 0 0 4 4 39 216 3 1 41 1 3 45Roxbury Township 2016 225 8 217 9.6 0.3 9.2 0 0 1 7 35 180 2 0 23,511 21.46 1,095.6 Suburban 41 1 3 452 21 50 120 346,164 306 640 29 105 7740 24 76 99 346,308 306 648 30 105 783


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 12 5 7 7.8 3.3 4.6 0 0 2 3 1 6 0 0 0 0 0 0Victory Gardens Boro 2016 20 4 16 13.1 2.6 10.4 0 0 1 3 7 7 2 0 1,532 0.20 7,660.0 Suburban 0 0 0 0

2015 35 2 33 1.9 0.1 1.8 0 1 1 0 3 27 3 0 28 0 1 29Washington Township 2016 54 16 38 2.9 0.9 2.0 0 2 0 14 5 33 0 0 18,752 45.12 415.6 Suburban 30 0 3 33

2015 99 7 92 15.0 1.1 13.9 0 0 2 5 9 80 3 1 20 0 1 21Wharton Boro 2016 91 2 89 13.8 0.3 13.5 0 0 1 1 16 69 4 1 6,613 1.95 3,391.3 Suburban 20 0 2 22MORRIS COUNTY 2015 4,375 291 4,084 8.8 0.6 8.2 2 31 88 170 613 3,296 175 10 965 32 151 1,148TOTAL 2016 4,393 326 4,067 8.8 0.7 8.1 0 44 112 170 704 3,183 180 5 499,509 470.24 1,062.2 977 33 155 1,165

OCEAN COUNTY 2015 16 2 14 27.9 3.5 24.4 1 1 0 0 7 7 0 0 0 0 0 0

Barnegat Light Boro 2016 6 0 6 10.4 0.0 10.4 0 0 0 0 0 6 0 0 576 0.70 822.9 Suburban 0 0 0 0

2015 19 0 19 19.6 0.0 19.6 0 0 0 0 4 12 3 0 13 0 1 14Bay Head Boro 2016 15 2 13 15.4 2.1 13.4 0 0 0 2 4 6 3 0 972 0.60 1,620.0 Suburban 8 0 1 9

2015 76 3 73 64.9 2.6 62.3 0 0 0 3 7 65 1 0 11 1 2 14Beach Haven Boro 2016 88 1 87 75.1 0.9 74.2 0 0 0 1 4 83 0 1 1,172 1.00 1,172.0 Suburban 10 1 2 13

2015 137 4 133 12.2 0.4 11.9 0 0 1 3 34 99 0 0 17 1 2 20Beachwood Boro 2016 134 8 126 11.9 0.7 11.2 0 1 4 3 15 107 4 0 11,214 2.80 4,005.0 Suburban 17 1 2 20

2015 514 48 466 12.4 1.2 11.2 0 7 6 35 103 360 3 5 65 2 59 126Berkeley Township 2016 495 58 437 11.9 1.4 10.5 0 3 13 42 99 328 10 1 41,699 41.90 995.2 Suburban 64 2 22 88

2015 1,013 76 937 13.5 1.0 12.5 0 12 9 55 144 777 16 7 127 6 59 192Brick Township 2016 1,133 72 1,061 15.1 1.0 14.1 0 11 19 42 180 863 18 1 75,012 26.40 2,841.4 Suburban 128 6 62 196

2015 2,209 55 2,154 24.5 0.6 23.9 0 5 28 22 286 1,831 37 6 155 3 31 189Toms River Township 2016 1,911 67 1,844 21.0 0.7 20.3 1 2 31 33 257 1,551 36 5 90,817 41.61 2,182.6 Urban Ctr. 156 4 27 187

2015 35 5 30 21.8 3.1 18.7 0 1 0 4 6 23 1 0 0 0 0 0Eagleswood Township 2016 29 3 26 18.0 1.9 16.2 0 2 0 1 7 19 0 0 1,607 16.50 97.4 Rural 0 0 0 0

2015 14 0 14 40.9 0.0 40.9 0 0 0 0 1 13 0 0 9 0 0 9Harvey Cedars Boro 2016 14 0 14 41.1 0.0 41.1 0 0 0 0 0 14 0 0 341 0.55 620.0 Suburban 8 0 0 8

2015 19 1 18 11.3 0.6 10.7 0 0 0 1 8 10 0 0 7 2 0 9Island Heights Boro 2016 8 0 8 4.8 0.0 4.8 0 0 0 0 2 6 0 0 1,668 0.60 2,780.0 Suburban 4 1 0 5

2015 492 33 459 8.7 0.6 8.2 1 3 5 24 119 322 18 7 77 2 18 97Jackson Township 2016 487 13 474 8.6 0.2 8.4 1 0 4 8 89 369 16 9 56,416 100.30 562.5 Suburban 84 3 18 105

2015 403 13 390 14.2 0.5 13.8 0 1 7 5 43 338 9 0 41 2 15 58Lacey Township 2016 398 19 379 14.0 0.7 13.3 0 2 2 15 49 325 5 0 28,450 84.60 336.3 Rural 41 2 14 57

2015 19 1 18 7.1 0.4 6.7 0 0 0 1 2 16 0 0 12 1 2 15Lakehurst Boro 2016 33 2 31 12.2 0.7 11.5 0 0 1 1 3 26 2 0 2,694 0.95 2,835.8 Rural 11 1 2 14

2015 1,246 170 1,076 12.7 1.7 11.0 4 13 73 80 242 788 46 4 118 10 31 159Lakewood Township 2016 1,120 170 950 11.3 1.7 9.6 2 12 62 94 193 719 38 7 99,262 24.40 4,068.1 Suburban 111 10 32 153

2015 33 1 32 18.3 0.6 17.8 0 0 0 1 5 27 0 0 11 1 4 16Lavallette Boro 2016 30 1 29 16.6 0.6 16.0 0 0 0 1 7 22 0 1 1,807 0.66 2,737.9 Suburban 11 1 4 16

2015 292 25 267 14.3 1.2 13.1 0 4 3 18 55 208 4 2 40 2 10 52Little Egg Harbor 2016 312 33 279 15.1 1.6 13.5 0 11 1 21 54 221 4 0 20,632 49.50 416.8 Rural 41 2 16 59

2015 111 8 103 36.9 2.7 34.3 0 0 0 8 32 71 0 0 35 1 11 47Long Beach Township 2016 73 2 71 24.1 0.7 23.5 0 0 0 2 10 60 1 0 3,027 4.30 704.0 Suburban 36 1 12 49

2015 360 20 340 8.3 0.5 7.8 0 1 4 15 88 243 9 2 66 1 18 85Manchester Township 2016 241 25 216 5.5 0.6 5.0 0 3 6 16 84 128 4 2 43,542 82.50 527.8 Rural 67 1 18 866 47 132 260 478,631 480 804 35 263 1,1024 44 137 266 480,908 480 797 36 232 1,065


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 12 0 12 46.9 0.0 46.9 0 0 0 0 2 10 0 0 7 1 1 9Mantoloking Boro 2016 7 0 7 27.7 0.0 27.7 0 0 0 0 1 6 0 0 253 0.44 575.0 Suburban 8 1 1 10

2015 72 2 70 8.3 0.2 8.0 0 0 0 2 9 59 2 0 20 1 7 28Ocean Township 2016 63 0 63 7.1 0.0 7.1 0 0 0 0 6 56 1 0 8,850 20.62 429.2 Rural 17 1 8 26

2015 46 0 46 22.9 0.0 22.9 0 0 0 0 17 29 0 0 7 0 1 8Ocean Gate Boro 2016 29 1 28 14.4 0.5 13.9 0 0 0 1 7 20 1 0 2,010 0.50 4,020.0 Suburban 8 0 1 9

2015 17 1 16 7.9 0.5 7.4 0 0 0 1 1 15 0 0 7 0 1 8Pine Beach Boro 2016 8 0 8 3.7 0.0 3.7 0 0 0 0 0 8 0 0 2,150 0.60 3,583.3 Suburban 7 0 1 8

2015 53 7 46 6.2 0.8 5.4 1 2 1 3 15 28 3 0 13 1 1 15Plumsted Township 2016 36 7 29 4.2 0.8 3.4 0 3 1 3 8 19 2 0 8,513 40.70 209.2 Rural 13 1 1 15

2015 215 10 205 11.6 0.5 11.1 0 2 1 7 47 154 4 0 31 2 10 43Point Pleasant Boro 2016 163 4 159 8.8 0.2 8.6 0 0 0 4 34 122 3 0 18,523 3.70 5,006.2 Suburban 31 2 10 43

2015 142 3 139 31.1 0.7 30.4 1 1 0 1 16 120 3 0 22 0 11 33Point Pleasant Beach 2016 109 3 106 23.9 0.7 23.3 0 0 2 1 10 92 4 1 4,552 1.50 3,034.7 Suburban 22 0 6 28

2015 210 40 170 72.6 13.8 58.8 0 1 5 34 30 139 1 1 26 0 11 37Seaside Heights Boro 2016 199 26 173 68.8 9.0 59.8 0 0 5 21 29 139 5 0 2,892 0.35 8,262.9 Suburban 25 0 13 38

2015 45 2 43 28.8 1.3 27.5 0 0 1 1 12 30 1 0 13 0 1 14Seaside Park Boro 2016 33 0 33 21.3 0.0 21.3 0 0 0 0 3 28 2 0 1,551 0.60 2,585.0 Suburban 13 0 2 15

2015 42 1 41 37.1 0.9 36.3 0 0 0 1 2 39 0 0 14 0 1 15Ship Bottom Boro 2016 16 0 16 14.1 0.0 14.1 0 0 0 0 6 10 0 0 1,135 0.71 1,598.6 Suburban 11 0 1 12

2015 98 9 89 26.4 2.4 24.0 1 0 1 7 27 58 4 1 11 0 1 12South Toms River Boro 2016 76 12 64 20.3 3.2 17.1 0 1 3 8 14 45 5 0 3,736 1.20 3,113.3 Suburban 11 0 1 12

2015 223 9 214 8.4 0.3 8.0 0 0 1 8 25 184 5 1 50 1 22 73Stafford Township 2016 218 22 196 8.1 0.8 7.3 0 2 2 18 15 174 7 1 26,959 47.05 573.0 Rural 50 1 20 71

2015 27 1 26 22.5 0.8 21.7 0 0 0 1 1 25 0 0 9 1 0 10Surf City Boro 2016 18 0 18 15.0 0.0 15.0 0 0 0 0 0 18 0 0 1,204 0.65 1,852.3 Suburban 9 1 0 10

2015 28 2 26 8.3 0.6 7.7 0 0 1 1 2 23 1 0 10 0 1 11Tuckerton Boro 2016 47 3 44 13.9 0.9 13.0 0 0 0 3 12 32 0 0 3,377 3.70 912.7 Rural 11 0 1 12

2015 182 20 162 8.3 0.9 7.4 0 1 5 14 23 137 2 3 46 4 8 58Barnegat Township 2016 148 19 129 6.7 0.9 5.8 0 2 2 15 21 103 5 2 22,108 34.90 633.5 Rural 45 4 2 51OCEAN COUNTY 2015 8,420 572 7,848 14.4 1.0 13.4 9 55 152 356 1,415 6,260 173 39 1,090 46 340 1,476TOTAL 2016 7,697 573 7,124 13.1 1.0 12.1 4 55 158 356 1,223 5,725 176 31 588,721 637.09 924.1 1,078 47 300 1,425

PASSAIC COUNTY 2015 54 10 44 6.6 1.2 5.4 0 2 1 7 7 35 2 0 16 0 1 17

Bloomingdale Boro 2016 42 6 36 5.1 0.7 4.4 0 1 3 2 7 28 1 0 8,215 8.74 939.9 Suburban 16 0 1 17

2015 1,694 201 1,493 19.7 2.3 17.3 1 8 75 117 260 1,119 114 1 143 6 31 180Clifton City 2016 1,514 203 1,311 17.5 2.4 15.2 0 7 84 112 202 993 116 1 86,334 11.20 7,708.4 Urban Ctr. 139 6 33 178

2015 184 26 158 21.8 3.1 18.7 0 0 7 19 57 88 13 0 15 2 0 17Haledon Boro 2016 203 29 174 24.0 3.4 20.6 0 0 13 16 33 129 12 0 8,451 1.30 6,500.8 Urban Ctr. 15 3 0 18

2015 143 7 136 7.5 0.4 7.1 0 1 2 4 24 106 6 0 31 1 5 37Hawthorne Boro 2016 240 10 230 12.6 0.5 12.1 0 0 7 3 24 197 9 0 19,074 3.44 5,544.8 Urban Ctr. 30 1 4 35

2015 278 14 264 19.1 1.0 18.1 0 1 3 10 42 212 10 2 20 3 4 27Little Falls Township 2016 238 13 225 16.4 0.9 15.5 0 0 1 12 12 197 16 1 14,533 2.80 5,190.4 Urban Ctr. 23 3 4 30

2015 55 2 53 6.4 0.2 6.2 0 0 1 1 10 42 1 0 16 1 4 21North Haledon Boro 2016 50 2 48 5.8 0.2 5.6 0 1 1 0 13 32 3 0 8,548 3.50 2,442.3 Urban Ctr. 16 1 4 21


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 1,427 327 1,100 20.1 4.6 15.5 3 3 161 160 193 762 145 2 136 15 28 179Passaic City 2016 1,504 398 1,106 21.2 5.6 15.6 0 5 178 215 198 754 154 3 71,085 3.20 22,214.1 Urban Ctr. 137 17 26 180

2015 4,849 1,172 3,677 32.9 7.9 24.9 19 40 573 540 1,182 1,811 684 11 350 51 192 593Paterson City 2016 4,283 1,126 3,157 29.0 7.6 21.4 19 56 551 500 957 1,529 671 12 147,754 8.44 17,506.4 Urban Ctr. 333 50 95 478

2015 125 9 116 11.2 0.8 10.4 0 1 1 7 18 96 2 0 18 0 4 22Pompton Lakes Boro 2016 104 10 94 9.3 0.9 8.4 0 0 1 9 14 78 2 0 11,202 3.00 3,734.0 Urban Ctr. 20 0 4 24

2015 113 5 108 19.0 0.8 18.2 0 0 0 5 31 58 19 0 15 1 1 17Prospect Park Boro 2016 115 14 101 19.3 2.4 17.0 0 0 3 11 4 85 12 0 5,953 0.45 13,228.9 Urban Ctr. 16 1 1 18

2015 61 5 56 4.9 0.4 4.5 0 0 1 4 17 37 2 2 20 1 4 25Ringwood Boro 2016 66 4 62 5.3 0.3 5.0 0 0 1 3 13 48 1 0 12,448 27.50 452.7 Suburban 19 1 4 24

2015 288 20 268 26.3 1.8 24.5 0 0 5 15 18 235 15 0 28 0 2 30Totowa Boro 2016 292 12 280 26.6 1.1 25.5 0 0 5 7 23 243 14 1 10,973 4.00 2,743.3 Urban Ctr. 27 1 4 32

2015 81 8 73 6.9 0.7 6.2 0 1 3 4 9 63 1 0 21 1 4 26Wanaque Boro 2016 90 7 83 7.6 0.6 7.0 0 0 0 7 7 73 3 0 11,848 8.30 1,427.5 Suburban 23 2 5 30

2015 1,232 16 1,216 22.3 0.3 22.1 0 1 13 2 103 1,082 31 0 112 2 31 145Wayne Township 2016 1,192 17 1,175 21.6 0.3 21.3 0 2 7 8 89 1,042 44 0 55,210 24.89 2,218.2 Suburban 112 2 27 141

2015 242 19 223 9.1 0.7 8.3 0 4 1 14 63 150 10 0 38 5 7 50West Milford Township 2016 242 23 219 9.0 0.9 8.2 0 6 3 14 72 141 6 0 26,770 78.30 341.9 Suburban 39 5 7 51

2015 217 13 204 17.5 1.0 16.4 0 1 6 6 29 164 11 0 23 2 3 28Woodland Park Boro 2016 191 7 184 15.3 0.6 14.7 0 1 3 3 22 149 13 0 12,518 2.95 4,243.4 Urban Ctr. 23 2 3 28PASSAIC COUNTY 2015 11,043 1,854 9,189 21.7 3.6 18.0 23 63 853 915 2,063 6,060 1,066 18 1,002 91 321 1,414TOTAL 2016 10,366 1,881 8,485 20.3 3.7 16.6 19 79 861 922 1,690 5,718 1,077 18 510,916 192.01 2,660.9 988 95 222 1,305

SALEM COUNTY 2015 47 7 40 13.8 2.1 11.8 1 0 0 6 22 18 0 0 0 0 0 0

Alloway Township 2016 40 8 32 11.8 2.4 9.5 0 1 0 7 13 16 3 0 3,376 34.35 98.3 Rural 0 0 0 0

2015 21 2 19 15.6 1.5 14.1 0 0 0 2 7 11 1 0 2 0 0 2Elmer Boro 2016 14 0 14 10.4 0.0 10.4 0 0 0 0 2 9 3 0 1,343 0.89 1,509.0 Rural 2 0 0 2

2015 10 0 10 10.0 0.0 10.0 0 0 0 0 2 8 0 0 0 0 0 0Elsinboro Township 2016 15 2 13 15.0 2.0 13.0 0 1 0 1 4 9 0 0 997 13.00 76.7 Rural 0 0 0 0

2015 8 4 4 4.6 2.3 2.3 0 4 0 0 0 4 0 1 11 0 2 13Lower Alloways Creek Township 2016 9 2 7 5.3 1.2 4.1 0 1 0 1 3 4 0 0 1,713 47.70 35.9 Rural 11 0 2 13

2015 292 6 286 22.6 0.5 22.1 0 0 0 6 79 206 1 0 22 0 0 22Pennsville Township 2016 212 5 207 16.5 0.4 16.1 1 0 2 2 30 175 2 0 12,827 24.40 525.7 Suburban 22 0 0 22

2015 25 7 18 14.1 4.0 10.2 0 4 0 3 6 11 1 0 0 0 0 0Mannington Township 2016 18 2 16 10.3 1.1 9.1 0 0 1 1 5 9 2 0 1,750 38.10 45.9 Rural 0 0 0 0

2015 30 6 24 16.3 3.3 13.0 0 0 2 4 11 12 1 0 0 0 0 0Oldmans Township 2016 20 3 17 10.9 1.6 9.3 0 0 2 1 8 9 0 0 1,829 20.08 91.1 Rural 0 0 0 0

2015 210 25 185 42.1 5.0 37.1 0 0 8 17 40 138 7 1 14 1 4 19Penns Grove Boro 2016 218 41 177 44.1 8.3 35.8 1 2 17 21 41 124 12 4 4,945 0.90 5,494.4 Rural 14 1 0 15

2015 57 9 48 13.9 2.2 11.7 0 1 1 7 20 28 0 0 0 0 0 0Pilesgrove Township 2016 48 5 43 11.8 1.2 10.6 0 0 1 4 11 31 1 0 4,063 37.40 108.6 Rural 0 0 0 0

2015 164 7 157 18.0 0.8 17.2 0 1 1 5 53 103 1 0 0 0 0 0Pittsgrove Township 2016 83 14 69 9.1 1.5 7.6 0 4 6 4 21 43 5 0 9,081 46.50 195.3 Rural 0 0 0 0

2015 35 6 29 13.5 2.3 11.2 0 0 0 6 13 16 0 1 0 0 0 0Quinton Township 2016 16 0 16 6.2 0.0 6.2 0 0 0 0 6 9 1 0 2,569 25.30 101.5 Rural 0 0 0 0


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 385 78 307 77.8 15.8 62.0 1 6 29 42 117 177 13 1 14 0 2 16Salem City 2016 232 54 178 47.4 11.0 36.4 3 3 16 32 74 95 9 2 4,894 2.70 1,812.6 Rural 17 0 2 19

2015 185 11 174 23.4 1.4 22.0 0 3 4 4 54 111 9 1 18 1 1 20Carney’s Point Township 2016 206 28 178 26.3 3.6 22.7 0 7 12 9 43 125 10 2 7,846 17.90 438.3 Suburban 16 1 1 18

2015 46 3 43 13.4 0.9 12.5 0 2 0 1 20 21 2 0 0 0 0 0Upper Pittsgrove Township 2016 47 5 42 13.7 1.5 12.3 0 1 2 2 26 14 2 0 3,423 40.10 85.4 Rural 0 0 0 0

2015 55 6 49 15.5 1.7 13.8 0 1 1 4 10 37 2 0 8 0 2 10Woodstown Boro 2016 51 3 48 14.5 0.9 13.6 0 1 1 1 20 27 1 0 3,524 1.56 2,259.0 Rural 9 0 2 11SALEM COUNTY 2015 1,570 177 1,393 24.3 2.7 21.5 2 22 46 107 454 901 38 5 89 2 11 102TOTAL 2016 1,229 172 1,057 19.1 2.7 16.5 5 21 60 86 307 699 51 8 64,180 350.88 182.9 91 2 7 100

SOMERSET COUNTY 2015 56 1 55 6.8 0.1 6.7 0 0 0 1 10 45 0 0 15 2 4 21

Bedminster Township 2016 33 0 33 4.0 0.0 4.0 0 0 0 0 7 23 3 0 8,241 26.70 308.7 Rural 13 2 2 17

2015 91 3 88 3.4 0.1 3.3 0 1 1 1 15 70 3 0 35 3 4 42Bernards Township 2016 94 0 94 3.5 0.0 3.5 0 0 0 0 7 79 8 0 27,010 24.95 1,082.6 Suburban 35 3 5 43

2015 43 0 43 5.5 0.0 5.5 0 0 0 0 4 39 0 0 18 0 6 24Bernardsville Boro 2016 63 2 61 8.1 0.3 7.8 0 0 0 2 7 48 6 0 7,801 12.85 607.1 Suburban 18 0 6 24

2015 168 15 153 16.0 1.4 14.5 0 3 9 3 30 120 3 0 24 0 5 29Bound Brook Boro 2016 139 12 127 13.2 1.1 12.1 0 0 8 4 33 88 6 0 10,497 1.67 6,285.6 Urban Ctr. 24 0 5 29

2015 70 2 68 4.8 0.1 4.6 0 0 1 1 13 53 2 0 24 2 2 28Branchburg Township 2016 73 8 65 5.0 0.5 4.4 2 0 0 6 6 58 1 0 14,675 20.35 721.1 Suburban 24 2 1 27

2015 447 11 436 9.9 0.2 9.6 0 2 4 5 68 347 21 0 70 2 5 77Bridgewater Township 2016 427 15 412 9.4 0.3 9.1 0 1 9 5 53 348 11 0 45,198 32.23 1,402.4 Suburban 72 2 8 82

2015 6 2 4 6.4 2.1 4.3 0 2 0 0 0 4 0 0 6 0 0 6Far Hills Boro 2016 9 0 9 9.7 0.0 9.7 0 0 0 0 4 3 2 0 930 4.90 189.8 Suburban 6 0 0 6

2015 882 64 818 13.4 1.0 12.5 1 5 34 24 182 593 43 0 93 11 20 124Franklin Township 2016 855 63 792 12.9 1.0 12.0 1 10 37 15 190 571 31 2 66,158 46.90 1,410.6 Suburban 93 11 20 124

2015 92 3 89 12.6 0.4 12.2 0 0 2 1 18 67 4 0 23 0 1 24Green Brook Township 2016 78 3 75 10.7 0.4 10.3 0 0 1 2 15 53 7 1 7,268 4.60 1,580.0 Suburban 23 0 1 24

2015 223 8 215 5.6 0.2 5.4 0 6 0 2 49 158 8 0 53 0 11 64Hillsborough Township 2016 280 17 263 7.0 0.4 6.6 2 10 2 3 50 206 7 8 39,821 54.80 726.7 Suburban 51 1 13 65

2015 297 7 290 28.4 0.7 27.7 0 3 1 3 25 254 11 0 24 0 3 27Manville Boro 2016 276 11 265 26.5 1.1 25.4 0 2 2 7 34 214 17 1 10,429 2.50 4,171.6 Urban Ctr. 24 0 3 27

2015 3 0 3 7.1 0.0 7.1 0 0 0 0 3 0 0 0 0 0 0 0Millstone Boro 2016 1 0 1 2.4 0.0 2.4 0 0 0 0 0 1 0 0 419 0.60 698.3 Suburban 0 0 0 0

2015 106 6 100 4.7 0.3 4.4 0 0 4 2 23 77 0 1 29 0 6 35Montgomery Township 2016 97 4 93 4.2 0.2 4.0 0 0 0 4 16 76 1 1 23,049 32.80 702.7 Rural 29 0 6 35

2015 379 53 326 17.1 2.4 14.7 0 4 24 25 83 226 17 1 44 1 6 51North Plainfield Boro 2016 440 55 385 19.9 2.5 17.4 0 6 29 20 90 272 23 0 22,140 2.70 8,200.0 Urban Ctr. 43 1 7 51

2015 13 1 12 5.0 0.4 4.6 0 1 0 0 1 11 0 0 7 0 1 8Peapack-Gladstone Township 2016 27 0 27 10.4 0.0 10.4 0 0 0 0 13 12 2 1 2,602 5.80 448.6 Suburban 8 0 1 9

2015 124 5 119 16.5 0.7 15.8 2 0 2 1 22 95 2 0 17 1 1 19Raritan Boro 2016 164 4 160 20.4 0.5 19.9 0 0 0 4 17 136 7 0 8,031 2.00 4,015.5 Urban Ctr. 17 1 1 19

2015 5 0 5 7.2 0.0 7.2 0 0 0 0 1 4 0 0 0 0 0 0Rocky Hill Boro 2016 4 1 3 5.8 1.4 4.3 0 0 0 1 2 1 0 0 690 0.60 1,150.0 Suburban 0 0 0 0


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 207 15 192 16.9 1.2 15.7 0 1 7 7 33 150 9 2 30 1 2 33Somerville Boro 2016 208 23 185 17.0 1.9 15.2 0 3 9 11 29 147 9 0 12,202 2.30 5,305.2 Urban Ctr. 31 1 2 34

2015 42 0 42 9.1 0.0 9.1 0 0 0 0 8 31 3 0 12 0 1 13South Bound Brook Boro 2016 44 6 38 9.5 1.3 8.2 0 0 4 2 5 31 2 0 4,622 0.70 6,602.9 Urban Ctr. 12 0 1 13

2015 63 3 60 3.9 0.2 3.8 2 0 0 1 18 39 3 0 28 0 7 35Warren Township 2016 56 1 55 3.5 0.1 3.4 0 0 1 0 14 37 4 0 15,955 19.60 814.0 Suburban 30 0 7 37

2015 370 7 363 62.4 1.2 61.2 0 1 3 3 5 352 6 1 30 0 7 37Watchung Boro 2016 412 1 411 69.6 0.2 69.5 0 0 1 0 12 392 7 0 5,916 6.00 986.0 Suburban 30 0 7 37SOMERSET COUNTY 2015 3,687 206 3,481 11.1 0.6 10.5 5 29 92 80 611 2,735 135 5 582 23 92 697TOTAL 2016 3,780 226 3,554 11.3 0.7 10.7 5 32 103 86 604 2,796 154 14 333,654 305.55 1,092.0 583 24 96 703

SUSSEX COUNTY 2015 10 2 8 17.1 3.4 13.7 0 1 0 1 4 4 0 0 0 0 0 0

Andover Boro 2016 10 0 10 17.2 0.0 17.2 0 0 0 0 1 7 2 0 581 1.40 415.0 Rural 0 0 0 0

2015 37 4 33 6.1 0.7 5.4 0 0 0 4 5 25 3 3 12 0 5 17Andover Township 2016 47 6 41 7.8 1.0 6.8 0 0 0 6 4 33 4 0 6,022 21.20 284.1 Rural 12 0 5 17

2015 10 0 10 12.3 0.0 12.3 0 0 0 0 1 9 0 1 0 0 0 0Branchville Boro 2016 20 0 20 24.9 0.0 24.9 0 0 0 0 10 10 0 1 802 0.56 1,432.1 Rural 0 0 0 0

2015 35 1 34 4.3 0.1 4.2 0 0 0 1 9 25 0 1 14 0 0 14Byram Township 2016 30 1 29 3.7 0.1 3.6 0 0 0 1 6 23 0 0 8,031 22.48 357.3 Rural 14 0 0 14

2015 23 5 18 4.2 0.9 3.3 0 2 1 2 5 13 0 0 0 0 0 0Frankford Township 2016 44 6 38 8.1 1.1 7.0 0 0 0 6 12 25 1 0 5,435 34.70 156.6 Rural 0 0 0 0

2015 109 0 109 22.2 0.0 22.2 0 0 0 0 15 91 3 0 13 0 1 14Franklin Boro 2016 73 6 67 15.0 1.2 13.8 0 0 0 6 3 63 1 0 4,855 4.40 1,103.4 Rural 16 0 1 17

2015 16 3 13 4.9 0.9 4.0 0 1 0 2 5 8 0 0 0 0 0 0Fredon Township 2016 12 0 12 3.7 0.0 3.7 0 0 0 0 3 9 0 0 3,254 18.00 180.8 Rural 0 0 0 0

2015 13 1 12 3.7 0.3 3.4 0 1 0 0 4 6 2 0 0 0 0 0Green Township 2016 10 1 9 2.9 0.3 2.6 0 0 0 1 5 4 0 2 3,506 15.80 221.9 Rural 0 0 0 0

2015 29 1 28 9.1 0.3 8.8 0 0 0 1 9 19 0 0 7 1 2 10Hamburg Boro 2016 19 2 17 6.0 0.6 5.4 0 0 0 2 3 14 0 2 3,155 1.20 2,629.2 Rural 7 1 2 10

2015 91 2 89 18.1 0.4 17.7 0 1 0 1 10 76 3 0 0 0 0 0Hampton Township 2016 92 7 85 18.5 1.4 17.1 0 3 0 4 12 69 4 0 4,974 24.95 199.4 Rural 0 0 0 0

2015 86 5 81 10.6 0.6 10.0 0 0 1 4 10 70 1 1 20 0 6 26Hardyston Township 2016 68 5 63 8.5 0.6 7.8 0 1 0 4 17 42 4 0 8,030 32.50 247.1 Rural 18 0 6 24

2015 87 7 80 5.9 0.5 5.4 0 0 0 7 24 53 3 0 22 2 7 31Hopatcong Boro 2016 112 7 105 7.7 0.5 7.2 0 0 0 7 25 80 0 1 14,510 10.80 1,343.5 Suburban 22 2 7 31

2015 14 3 11 5.7 1.2 4.5 0 1 0 2 2 9 0 0 0 0 0 0Lafayette Township 2016 25 2 23 10.3 0.8 9.4 0 0 0 2 5 16 2 0 2,439 18.70 130.4 Rural 0 0 0 0

2015 39 7 32 10.3 1.8 8.5 0 0 2 5 8 24 0 0 0 0 0 0Montague Township 2016 47 4 43 12.5 1.1 11.5 0 1 0 3 9 33 1 0 3,751 45.20 83.0 Rural 0 0 0 0

2015 119 12 107 14.9 1.5 13.4 0 4 2 6 22 83 2 0 21 0 13 34Newton Town 2016 152 13 139 19.1 1.6 17.4 0 0 3 10 25 108 6 2 7,979 3.30 2,417.9 Rural 23 0 5 28

2015 9 2 7 3.9 0.9 3.0 0 0 0 2 1 6 0 0 6 0 0 6Ogdensburg Boro 2016 11 0 11 4.8 0.0 4.8 0 0 0 0 3 8 0 0 2,286 2.22 1,029.7 Rural 6 0 0 6

2015 14 2 12 7.3 1.0 6.3 0 1 0 1 5 7 0 0 0 0 0 0Sandyston Township 2016 11 1 10 5.8 0.5 5.3 0 0 1 0 5 5 0 0 1,891 41.40 45.7 Rural 0 0 0 0


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 79 5 74 4.1 0.3 3.8 0 0 0 5 11 60 3 1 28 1 13 42Sparta Township 2016 81 2 79 4.2 0.1 4.1 0 1 0 1 10 66 3 1 19,159 38.48 497.9 Suburban 30 1 13 44

2015 43 1 42 12.3 0.3 12.0 0 0 0 1 10 31 1 0 9 0 1 10Stanhope Boro 2016 37 4 33 10.9 1.2 9.7 0 3 0 1 6 24 3 0 3,410 1.70 2,005.9 Suburban 9 0 1 10

2015 26 3 23 6.6 0.8 5.8 0 1 0 2 5 15 3 0 0 0 0 0Stillwater Township 2016 19 0 19 4.8 0.0 4.8 0 0 0 0 11 7 1 0 3,922 27.35 143.4 Rural 0 0 0 0

2015 32 3 29 15.5 1.5 14.1 0 1 0 2 7 22 0 0 0 0 0 0Sussex Boro 2016 49 2 47 24.0 1.0 23.0 0 0 0 2 18 28 1 0 2,043 0.75 2,724.0 Rural 0 0 0 0

2015 350 9 341 15.4 0.4 15.0 0 1 1 7 28 311 2 1 31 1 8 40Vernon Township 2016 213 6 207 9.4 0.3 9.2 0 0 2 4 16 185 6 2 22,549 67.25 335.3 Rural 28 2 8 38

2015 1 0 1 66.7 0.0 66.7 0 0 0 0 0 1 0 0 0 0 0 0Walpack Township 2016 0 0 0 0.0 0.0 0.0 0 0 0 0 0 0 0 0 15 24.10 0.6 Rural 0 0 0 0

2015 71 12 59 6.4 1.1 5.3 0 2 2 8 11 43 5 0 0 0 0 0Wantage Township 2016 76 6 70 6.9 0.5 6.3 0 3 1 2 24 43 3 0 11,074 68.15 162.5 Rural 0 0 0 0SUSSEX COUNTY 2015 1,343 90 1,253 9.3 0.6 8.6 0 17 9 64 211 1,011 31 8 183 5 56 244TOTAL 2016 1,258 81 1,177 8.8 0.6 8.2 0 12 7 62 233 902 42 11 143,673 526.59 272.8 185 6 48 239

UNION COUNTY 2015 61 0 61 4.5 0.0 4.5 0 0 0 0 13 45 3 0 23 1 6 30

Berkeley Heights Township 2016 94 3 91 6.9 0.2 6.7 0 1 1 1 8 75 8 0 13,549 6.50 2,084.5 Suburban 23 2 6 31

2015 160 3 157 10.5 0.2 10.3 0 0 0 3 13 143 1 0 40 0 10 50Clark Township 2016 183 4 179 11.8 0.3 11.5 0 0 1 3 2 171 6 0 15,535 4.53 3,429.4 Urban Ctr. 40 0 11 51

2015 173 4 169 7.4 0.2 7.2 0 0 1 3 13 154 2 0 48 2 16 66Cranford Township 2016 185 7 178 7.7 0.3 7.4 0 0 3 4 21 152 5 2 24,143 4.90 4,927.1 Suburban 50 3 15 68

2015 5,061 1,201 3,860 39.3 9.3 30.0 8 44 635 514 766 2,226 868 11 268 28 99 395Elizabeth City 2016 5,281 1,067 4,214 40.9 8.3 32.7 5 33 530 499 733 2,603 878 6 129,007 11.69 11,035.7 Urban Ctr. 263 30 95 388

2015 41 1 40 5.5 0.1 5.3 0 0 1 0 7 30 3 0 16 1 1 18Fanwood Boro 2016 57 3 54 7.5 0.4 7.1 0 0 3 0 12 41 1 0 7,651 1.29 5,931.0 Urban Ctr. 16 1 1 18

2015 89 5 84 20.5 1.2 19.4 0 0 0 5 5 79 0 0 16 0 4 20Garwood Boro 2016 66 1 65 15.2 0.2 14.9 0 0 0 1 11 54 0 0 4,351 0.70 6,215.7 Urban Ctr. 16 0 4 20

2015 578 90 488 26.4 4.1 22.3 0 2 44 44 93 336 59 0 55 8 12 75Hillside Township 2016 555 80 475 25.2 3.6 21.6 1 2 34 43 80 299 96 2 21,984 2.70 8,142.2 Urban Ctr. 50 9 11 70

2015 149 5 144 18.2 0.6 17.6 0 2 1 2 22 113 9 0 24 1 5 30Kenilworth Boro 2016 169 6 163 20.6 0.7 19.8 0 1 1 4 19 131 13 0 8,215 2.00 4,107.5 Suburban 24 1 5 30

2015 1,219 169 1,050 29.2 4.1 25.2 1 11 54 103 115 818 117 2 120 6 31 157Linden City 2016 1,158 169 989 27.6 4.0 23.5 0 19 39 111 123 792 74 1 42,021 10.95 3,837.5 Urban Ctr. 119 8 26 153

2015 29 1 28 4.2 0.1 4.1 0 0 1 0 7 21 0 0 22 0 5 27Mountainside Boro 2016 41 0 41 6.0 0.0 6.0 0 0 0 0 21 19 1 0 6,885 4.10 1,679.3 Suburban 22 0 5 27

2015 56 0 56 4.5 0.0 4.5 0 0 0 0 8 45 3 0 22 2 2 26New Providence Boro 2016 57 1 56 4.6 0.1 4.5 0 0 1 0 7 46 3 0 12,469 3.50 3,562.6 Suburban 22 2 2 26

2015 1,513 336 1,177 29.7 6.6 23.1 4 15 142 175 289 807 81 3 110 17 27 154Plainfield City 2016 1,311 349 962 25.6 6.8 18.8 12 17 150 170 283 603 76 6 51,217 6.00 8,536.2 Urban Ctr. 105 21 26 152

2015 394 54 340 13.5 1.9 11.7 4 4 19 27 52 246 42 4 68 6 10 84Rahway City 2016 388 37 351 13.1 1.3 11.9 1 3 14 19 49 256 46 2 29,508 4.00 7,377.0 Urban Ctr. 67 6 9 82

2015 395 42 353 18.3 1.9 16.3 0 0 27 15 77 238 38 0 52 4 13 69Roselle Boro 2016 373 39 334 17.2 1.8 15.4 0 1 26 12 76 213 45 1 21,670 2.70 8,025.9 Urban Ctr. 53 4 13 70


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 116 11 105 8.5 0.8 7.7 1 3 2 5 28 76 1 0 34 0 7 41Roselle Park Boro 2016 152 5 147 11.1 0.4 10.8 0 3 1 1 34 103 10 1 13,670 1.30 10,515.4 Urban Ctr. 34 0 6 40

2015 202 5 197 8.4 0.2 8.2 0 0 4 1 33 156 8 0 43 2 5 50Scotch Plains Township 2016 164 9 155 6.8 0.4 6.4 0 3 0 6 31 121 3 0 24,149 9.20 2,624.9 Suburban 42 3 4 49

2015 190 7 183 10.9 0.4 10.5 0 2 2 3 17 161 5 0 39 3 4 46Springfield Township 2016 189 16 173 10.8 0.9 9.9 2 6 7 1 28 133 12 0 17,502 5.20 3,365.8 Suburban 38 4 4 46

2015 187 9 178 8.5 0.4 8.1 0 0 1 8 17 152 9 0 41 3 5 49Summit City 2016 193 10 183 8.7 0.5 8.3 0 2 5 3 18 155 10 0 22,074 6.00 3,679.0 Urban Ctr. 44 2 5 51

2015 1,044 88 956 18.0 1.5 16.5 1 11 42 34 105 762 89 2 126 8 51 185Union Township 2016 1,073 66 1,007 18.5 1.1 17.3 2 4 37 23 105 816 86 2 58,128 9.00 6,458.7 Suburban 125 8 49 182

2015 265 8 257 8.6 0.3 8.4 0 1 5 2 39 211 7 0 53 4 8 65Westfield Town 2016 261 5 256 8.5 0.2 8.4 0 1 2 2 58 193 5 0 30,548 6.50 4,699.7 Suburban 54 4 13 71

2015 7 0 7 4.6 0.0 4.6 0 0 0 0 0 7 0 0 8 0 0 8Winfield Township 2016 17 0 17 11.3 0.0 11.3 0 0 0 0 6 9 2 0 1,510 0.17 8,882.4 Suburban 8 0 0 8UNION COUNTY 2015 11,929 2,039 9,890 21.6 3.7 17.9 19 95 981 944 1,719 6,826 1,345 22 1,228 96 321 1,645TOTAL 2016 11,967 1,877 10,090 21.5 3.4 18.2 23 96 855 903 1,725 6,985 1,380 23 555,786 102.93 5,399.7 1,215 108 310 1,633

WARREN COUNTY 2015 18 1 17 4.0 0.2 3.8 0 1 0 0 6 10 1 0 0 0 0 0

Allamuchy Township 2016 14 2 12 3.1 0.4 2.6 0 1 1 0 3 8 1 1 4,556 20.30 224.4 Rural 0 0 0 0

2015 12 2 10 5.2 0.9 4.3 0 0 0 2 0 10 0 0 0 0 0 0Alpha Boro 2016 17 1 16 7.4 0.4 6.9 0 0 0 1 3 11 2 1 2,303 1.70 1,354.7 Suburban 0 0 0 0

2015 20 0 20 7.7 0.0 7.7 0 0 0 0 4 16 0 0 6 0 1 7Belvidere Town 2016 84 0 84 32.2 0.0 32.2 0 0 0 0 20 60 4 0 2,607 1.30 2,005.4 Rural 6 0 0 6

2015 37 2 35 6.4 0.3 6.0 0 0 1 1 7 28 0 0 6 0 2 8Blairstown Township 2016 34 3 31 5.8 0.5 5.3 1 0 0 2 12 18 1 0 5,819 30.90 188.3 Rural 6 0 0 6


2015 7 1 6 3.2 0.5 2.7 0 0 0 1 0 5 1 0 0 0 0 0Frelinghuysen Township 2016 4 0 4 1.8 0.0 1.8 0 0 0 0 1 3 0 0 2,188 23.60 92.7 Rural 0 0 0 0

2015 91 0 91 16.4 0.0 16.4 0 0 0 0 8 83 0 0 9 0 0 9Greenwich Township 2016 73 1 72 13.1 0.2 13.0 0 0 0 1 5 65 2 1 5,556 10.42 533.2 Rural 9 0 0 9

2015 150 12 138 15.7 1.3 14.5 0 2 2 8 24 107 7 3 18 0 1 19Hackettstown Town 2016 103 8 95 10.8 0.8 9.9 0 0 2 6 14 78 3 0 9,579 3.60 2,660.8 Rural 18 0 1 19

2015 11 1 10 6.6 0.6 6.0 0 0 0 1 1 9 0 0 0 0 0 0Hardwick Township 2016 8 1 7 4.8 0.6 4.2 0 0 0 1 4 3 0 0 1,667 37.75 44.2 Rural 0 0 0 0

2015 16 0 16 6.2 0.0 6.2 0 0 0 0 9 7 0 0 0 0 0 0Harmony Township 2016 14 4 10 5.5 1.6 3.9 0 1 0 3 4 5 1 0 2,556 23.97 106.6 Rural 0 0 0 0

2015 9 1 8 4.7 0.5 4.2 0 0 0 1 2 6 0 0 0 0 0 0Hope Township 2016 11 2 9 5.8 1.0 4.7 0 0 0 2 3 6 0 0 1,911 18.90 101.1 Rural 0 0 0 0

2015 39 2 37 7.1 0.4 6.7 0 0 0 2 8 28 1 0 8 0 1 9Independence Township 2016 30 2 28 5.4 0.4 5.1 0 0 0 2 10 16 2 0 5,527 20.10 275.0 Rural 10 0 1 11

2015 28 5 23 9.4 1.7 7.7 0 0 2 3 7 14 2 0 0 0 0 0Knowlton Township 2016 29 3 26 9.7 1.0 8.7 0 0 1 2 8 18 0 0 2,984 26.00 114.8 Rural 0 0 0 0

2015 21 1 20 7.4 0.4 7.0 0 0 0 1 3 16 1 0 0 0 0 0Liberty Township 2016 11 1 10 3.9 0.4 3.5 0 0 0 1 5 5 0 0 2,851 12.25 232.7 Rural 0 0 0 0


2015/2016


VIOLENT CRIME

NON- VIOLENT CRIME






Motor Vehicle Theft

Arson2015





Employees


2015 74 1 73 9.0 0.1 8.9 0 0 0 1 27 44 2 0 14 0 1 15Lopatcong Township 2016 51 1 50 6.2 0.1 6.1 0 0 1 0 18 27 5 0 8,245 6.93 1,189.8 Suburban 14 0 1 15

2015 176 4 172 23.4 0.5 22.9 0 1 0 3 9 160 3 0 15 0 1 16Mansfield Township 2016 128 2 126 17.1 0.3 16.8 0 0 1 1 12 112 2 0 7,502 29.65 253.0 Rural 14 0 1 15

2015 29 0 29 11.8 0.0 11.8 0 0 0 0 3 26 0 0 0 0 0 0Oxford Township 2016 16 0 16 6.5 0.0 6.5 0 0 0 0 3 12 1 0 2,459 5.70 431.4 Rural 0 0 0 0

2015 320 23 297 22.0 1.6 20.4 0 5 7 11 71 214 12 3 37 0 1 38Phillipsburg Town 2016 329 29 300 22.7 2.0 20.7 0 4 14 11 68 218 14 1 14,515 2.90 5,005.2 Urban Ctr. 36 0 1 37

2015 171 2 169 52.6 0.6 52.0 0 0 2 0 3 165 1 0 11 0 1 12Pohatcong Township 2016 130 1 129 40.1 0.3 39.8 0 0 1 0 4 124 1 0 3,242 14.08 230.3 Rural 11 1 1 13

2015 83 6 77 12.8 0.9 11.8 0 1 1 4 25 52 0 1 0 0 0 0Washington Boro 2016 100 6 94 15.4 0.9 14.5 0 0 1 5 22 68 4 0 6,498 1.90 3,420.0 Rural 0 0 0 0

2015 68 3 65 10.5 0.5 10.0 0 0 1 2 12 50 3 0 27 0 1 28Washington Township 2016 59 2 57 9.1 0.3 8.8 0 0 0 2 9 48 0 0 6,465 18.15 356.2 Rural 27 0 1 28

2015 34 1 33 7.2 0.2 6.9 0 0 0 1 9 22 2 0 0 0 0 0White Township 2016 26 1 25 5.5 0.2 5.3 0 1 0 0 6 15 4 0 4,743 27.35 173.4 Rural 0 0 0 0WARREN COUNTY 2015 1,431 69 1,362 13.4 0.6 12.7 0 10 17 42 248 1,075 39 7 151 0 10 161TOTAL 2016 1,280 73 1,207 12.0 0.7 11.3 1 7 22 43 236 924 47 4 106,869 361.55 295.6 151 1 7 159


— New Jersey Municipal-County Offense & Demographic Data —164

— Resort Municipality Crime Rates — 165

Section EightSection EightRESORTMUNICIPALITIES

As required by P.L. 1998, c. 50, annual mean population estimates for resort municipalities in NewJersey have been used in the preparation of per capita crime statistics.

These estimates were prepared based upon the methodology prescribed in P.L. 1998, c. 50 using thelatest available municipality estimates of year-round population from the U.S. Bureau of the Census. Pleasenote that these resort population estimates should only be used for crime statistics purposes. While theyfulfill the requirements of the law, the seasonal components of these estimates are not a completemeasure of seasonal population because they include only those living in rental housing units or in vacantyear-round housing. Not counted are the many day visitors and persons who occupy campgrounds, hotels,motels or bed and breakfast establishments or who stay with friends or relatives.

+ Crime rates were not computed for municipalities with populations under 100.

2015/2016

MUNICIPALITY2015 Estimated

PopulationCRIME INDEX TOTAL VIOLENT CRIME NONVIOLENT CRIME




2015 Annual Mean Population (AMP)

AMP Crime Rate per 1,000

AMP Violent Crime Rate per 1,000

AMP Nonviolent Crime Rate per

1,000

ATLANTIC COUNTY

2015 39,588 3,622 628 2,994 91.5 15.9 75.6 86.3 15.0 71.3Atlantic City 2016 39,260 2,797 490 2,307 71.2 12.5 58.8 41,608 67.2 11.8 55.4

2015 9,296 194 6 188 20.9 0.6 20.2 14.5 0.4 14.0Brigantine City 2016 9,204 162 1 161 17.6 0.1 17.5 13,253 12.2 0.1 12.1

2015 880 5 0 5 5.7 0.0 5.7 2.6 0.0 2.6Longport Boro 2016 886 11 2 9 12.4 2.3 10.2 1,958 5.6 1.0 4.6

2015 6,266 231 6 225 36.9 1.0 35.9 24.2 0.6 23.6Margate City 2016 6,237 133 10 123 21.3 1.6 19.7 9,425 14.1 1.1 13.1

2015 10,766 314 27 287 29.2 2.5 26.7 27.4 2.4 25.0

Somers Point City 2016 10,688 299 35 264 28.0 3.3 24.7 11,400 26.2 3.1 23.2

2015 10,579 338 15 323 32.0 1.4 30.5 25.4 1.1 24.2Ventnor City 2016 10,486 323 18 305 30.8 1.7 29.1 13,230 24.4 1.4 23.1

CAPE MAY COUNTY

2015 1,294 161 3 158 124.4 2.3 122.1 32.1 0.6 31.5Avalon Boro 2016 1,283 195 3 192 152.0 2.3 149.6 5,000 39.0 0.6 38.4

2015 3,532 141 4 137 39.9 1.1 38.8 24.0 0.7 23.3Cape May City 2016 3,514 113 6 107 32.2 1.7 30.4 5,882 19.2 1.0 18.2

2015 282 5 0 5 17.7 0.0 17.7 6.9 0.0 6.9Cape May Point Boro 2016 281 0 0 0 0.0 0.0 0.0 718 0.0 0.0 0.0

2015 22,248 489 36 453 22.0 1.6 20.4 15.8 1.2 14.7Lower Township 2016 22,125 411 20 391 18.6 0.9 17.7 30,699 13.4 0.7 12.7

2015 18,844 620 51 569 32.9 2.7 30.2 29.8 2.5 27.3

Middle Township 2016 18,615 536 50 486 28.8 2.7 26.1 20,717 25.9 2.4 23.5

2015 3,929 196 10 186 49.9 2.5 47.3 19.6 1.0 18.6North Wildwood City 2016 3,901 196 7 189 50.2 1.8 48.4 9,793 20.0 0.7 19.3

2015 11,380 485 10 475 42.6 0.9 41.7 19.7 0.4 19.3Ocean City 2016 11,355 378 14 364 33.3 1.2 32.1 24,473 15.4 0.6 14.9

2015 2,095 197 3 194 94.0 1.4 92.6 28.7 0.4 28.2Sea Isle City 2016 2,087 248 3 245 118.8 1.4 117.4 6,774 36.6 0.4 36.2

2015 842 127 5 122 150.8 5.9 144.9 40.1 1.6 38.5Stone Harbor Boro 2016 836 101 2 99 120.8 2.4 118.4 3,124 32.3 0.6 31.7

2015 12,081 73 6 67 6.0 0.5 5.5 5.3 0.4 4.9Upper Township 2016 12,014 101 7 94 8.4 0.6 7.8 13,649 7.4 0.5 6.9

2015 1,018 24 1 23 23.6 1.0 22.6 15.4 0.6 14.8West Cape May Boro 2016 1,016 14 0 14 13.8 0.0 13.8 1,552 9.0 0.0 9.0

2015 581 25 0 25 43.0 0.0 43.0 21.5 0.0 21.5West Wildwood Boro 2016 572 20 2 18 35.0 3.5 31.5 1,155 17.3 1.7 15.6

166 167— Resort Municipalities — — Resort Municipalities —

+ Crime rates were not computed for municipalities with populations under 100.

RESORT MUNICIPALITIES STANDARD CRIME RATES ANNUAL MEAN POPULATION RATES

2015/2016










1,000


2015 5,190 568 64 504 109.4 12.3 97.1 61.1 6.9 54.2Wildwood City 2016 5,149 473 67 406 91.9 13.0 78.9 9,141 51.7 7.3 44.4

2015 3,208 91 2 89 28.4 0.6 27.7 12.6 0.3 12.3Wildwood Crest Boro 2016 3,182 123 15 108 38.7 4.7 33.9 7,183 17.1 2.1 15.0

2015 2,487 51 12 39 20.5 4.8 15.7 19.4 4.6 14.8Woodbine Boro 2016 2,482 67 12 55 27.0 4.8 22.2 2,712 24.7 4.4 20.3

CUMBERLAND COUNTY

2015 1,537 21 3 18 13.7 2.0 11.7 11.6 1.7 10.0

Downe Township 2016 1,519 27 2 25 17.8 1.3 16.5 1,765 15.3 1.1 14.2

MONMOUTH COUNTY

2015 494 12 0 12 24.3 0.0 24.3 19.3 0.0 19.3Allenhurst Boro 2016 491 16 0 16 32.6 0.0 32.6 624 25.6 0.0 25.6

2015 1,801 29 0 29 16.1 0.0 16.1 13.7 0.0 13.7Avon-By-The-Sea Boro 2016 1,794 30 0 30 16.7 0.0 16.7 2,137 14.0 0.0 14.0

2015 5,719 188 19 169 32.9 3.3 29.6 28.6 2.9 25.7Belmar Boro 2016 5,712 192 16 176 33.6 2.8 30.8 6,551 29.3 2.4 26.9

2015 4,282 117 3 114 27.3 0.7 26.6 22.4 0.6 21.8Bradley Beach Boro 2016 4,268 85 6 79 19.9 1.4 18.5 5,248 16.2 1.1 15.1

2015 740 30 3 27 40.5 4.1 36.5 23.3 2.3 21.0Deal Boro 2016 738 33 1 32 44.7 1.4 43.4 1,327 24.9 0.8 24.1

2015 4,905 66 5 61 13.5 1.0 12.4 12.2 0.9 11.2

Highlands Boro 2016 4,867 31 8 23 6.4 1.6 4.7 5,363 5.8 1.5 4.3

2015 190 9 0 9 47.4 0.0 47.4 34.1 0.0 34.1Loch Arbour Village 2016 187 9 0 9 48.1 0.0 48.1 269 33.5 0.0 33.5

2015 5,758 124 7 117 21.5 1.2 20.3 18.7 1.1 17.6Manasquan Boro 2016 5,815 119 0 119 20.5 0.0 20.5 6,777 17.6 0.0 17.6

2015 3,244 39 2 37 12.0 0.6 11.4 10.6 0.5 10.1Monmouth Beach Boro 2016 3,239 54 8 46 16.7 2.5 14.2 3,701 14.6 2.2 12.4

2015 1,348 5 2 3 3.7 1.5 2.2 3.0 1.2 1.8Sea Bright Boro 2016 1,344 5 2 3 3.7 1.5 2.2 1,643 3.0 1.2 1.8

2015 1,807 29 4 25 16.0 2.2 13.8 12.6 1.7 10.9Sea Girt Boro 2016 1,811 32 4 28 17.7 2.2 15.5 2,314 13.8 1.7 12.1

2015 1,730 12 1 11 6.9 0.6 6.4 6.1 0.5 5.6Lake Como Boro 2016 1,725 39 5 34 22.6 2.9 19.7 1,997 19.5 2.5 17.0

2015 2,990 44 0 44 14.7 0.0 14.7 11.7 0.0 11.7Spring Lake Boro 2016 2,965 54 1 53 18.2 0.3 17.9 3,685 14.7 0.3 14.4

2015 4,671 11 0 11 2.4 0.0 2.4 2.1 0.0 2.1

Spring Lake Heights 2016 4,659 16 1 15 3.4 0.2 3.2 5,071 3.2 0.2 3.0


2015/2016










1,000


OCEAN COUNTY

2015 573 16 2 14 27.9 3.5 24.4 10.3 1.3 9.0Barnegat Light Boro 2016 576 6 0 6 10.4 0.0 10.4 1,582 3.8 0.0 3.8

2015 971 19 0 19 19.6 0.0 19.6 12.3 0.0 12.3Bay Head Boro 2016 972 15 2 13 15.4 2.1 13.4 1,501 10.0 1.3 8.7

2015 1,171 76 3 73 64.9 2.6 62.3 23.5 0.9 22.6Beach Haven Boro 2016 1,172 88 1 87 75.1 0.9 74.2 3,240 27.2 0.3 26.9

2015 41,608 514 48 466 12.4 1.2 11.2 11.5 1.1 10.4Berkeley Township 2016 41,699 495 58 437 11.9 1.4 10.5 44,508 11.1 1.3 9.8

2015 1,603 35 5 30 21.8 3.1 18.7 19.9 2.8 17.0Eagleswood Township 2016 1,607 29 3 26 18.0 1.9 16.2 1,776 16.3 1.7 14.6

2015 342 14 0 14 40.9 0.0 40.9 10.7 0.0 10.7Harvey Cedars Boro 2016 341 14 0 14 41.1 0.0 41.1 1,347 10.4 0.0 10.4

2015 1,801 33 1 32 18.3 0.6 17.8 9.0 0.3 8.7Lavallette Boro 2016 1,807 30 1 29 16.6 0.6 16.0 3,545 8.5 0.3 8.2

2015 20,380 292 25 267 14.3 1.2 13.1 13.0 1.1 11.9Little Egg Harbor 2016 20,632 312 33 279 15.1 1.6 13.5 22,537 13.8 1.5 12.4

2015 3,006 111 8 103 36.9 2.7 34.3 10.6 0.8 9.9Long Beach Township 2016 3,027 73 2 71 24.1 0.7 23.5 10,370 7.0 0.2 6.8

2015 256 12 0 12 46.9 0.0 46.9 24.1 0.0 24.1

Mantoloking Boro 2016 253 7 0 7 27.7 0.0 27.7 505 13.9 0.0 13.92015 8,722 72 2 70 8.3 0.2 8.0 7.6 0.2 7.4

Ocean Township 2016 8,850 63 0 63 7.1 0.0 7.1 9,470 6.7 0.0 6.7

2015 2,012 46 0 46 22.9 0.0 22.9 19.7 0.0 19.7Ocean Gate Boro 2016 2,010 29 1 28 14.4 0.5 13.9 2,293 12.6 0.4 12.2

2015 4,567 142 3 139 31.1 0.7 30.4 24.1 0.5 23.6Point Pleasant Beach 2016 4,552 109 3 106 23.9 0.7 23.3 5,715 19.1 0.5 18.5

2015 2,893 210 40 170 72.6 13.8 58.8 49.4 9.4 40.0Seaside Heights Boro 2016 2,892 199 26 173 68.8 9.0 59.8 4,137 48.1 6.3 41.8

2015 1,565 45 2 43 28.8 1.3 27.5 14.7 0.7 14.0Seaside Park Boro 2016 1,551 33 0 33 21.3 0.0 21.3 3,014 10.9 0.0 10.9

2015 1,131 42 1 41 37.1 0.9 36.3 15.7 0.4 15.4Ship Bottom Boro 2016 1,135 16 0 16 14.1 0.0 14.1 2,680 6.0 0.0 6.0

2015 26,690 223 9 214 8.4 0.3 8.0 7.4 0.3 7.1Stafford Township 2016 26,959 218 22 196 8.1 0.8 7.3 30,024 7.3 0.7 6.5

2015 1,200 27 1 26 22.5 0.8 21.7 8.6 0.3 8.3Surf City Boro 2016 1,204 18 0 18 15.0 0.0 15.0 3,113 5.8 0.0 5.8

2015 90,287 2,209 55 2,154 24.5 0.6 23.9 22.5 0.6 22.0

Toms River Township 2016 90,817 1,911 67 1,844 21.0 0.7 20.3 97,601 19.6 0.7 18.9

2015 3,377 28 2 26 8.3 0.6 7.7 7.1 0.5 6.6Tuckerton Boro 2016 3,377 47 3 44 13.9 0.9 13.0 3,863 12.2 0.8 11.4


— Resort Municipality Crime Rates —172

— New Jersey Police Employee Data — 173

Section NineSection NinePOLICEEMPLOYEE DATA

— New Jersey Police Employee Data —174

STATE OF NEW JERSEYFULL-TIME POLICE EMPLOYEES - 2016

s

18,453 1,540 4,307 24,300

18,330 441 19,771 3,967 3,738

1 7

19,993

1 9 2

5

2016

4,641 924 3,286 8,851

451 912 63 194 557

4 1

5,565

4 3 3

5

2016

367 74 572 1,013

409 93 1,173

-10

441

-11 -16 -14

5

2016

2,527 1,195 3,848

487

-12

9

126

606 222 28

2 6

2,653

2 -2 1

5

2016

6,871 1,298 586 8,755

761 96 8,057 718 775

2 *

8,169

1 -18 *

5

2016

5 2,438

32,859

852

3,962

6,290

36,821

781

9,946

6,071

46,767

1 3 1 2 2

6

of

84 680


FULL-TIME STATE LAW ENFORCEMENT EMPLOYEES (Excluding State Police) - 2016

FULL-TIME MUNICIPAL POLICE EMPLOYEES BY COUNTY - 2016

Total Police Employees

74 786 263 1,049712

88 2,122 312 434 2,034

42 727 83 810 85

103 329 63 492226

20 24 7 11 304

21 6 51 75

423 2,527 524 3,051 2,104

26 566 8 614 540

87 1,853 699 2,552 1,666 64 4 78 160

67 723 44 6756

84 571 412 983 1,487

85 451 62 713 1,366

33 1,010 55 1,165977

47 125 300 425 1,078

5 83 222 305 9883 7 091

4 607 96 703

6 91 48 39185

108 23 10 33 15

1 152 7 5951

8,453 1,540 19,993 4,307 24,300

Total Police Employees

82 5 7 0 87 127 40 67 256 423

2 6 49

9 30 2 2

Department of Corrections Department of Human Services Division of Criminal Justice Division of Fish & Wildlife New Jersey Forest Fire Service New Jersey Transit Police Palisades Interstate Park Port Authority NY/NJ New Jersey State Park Police

46 6 1 32 65 97

6,871 1,298 8,169 586 8,755

2,101 411

725 807

2,446 887

556 603

1,805 2,158

66 82

531 906

450 718

97 148

36 76

93 414

605 97

24 45

151 61

8,330

4,808 1,027 5,835 75 5,910

46 1 47 23 70 213 21 234 60 294

78 13 91 2 93

583

NUMBER OF MUNICIPAL POLICE OFFICERSand

RATE PER 1,000 POPULATION BY COUNTY 2016


NUMBER OF MUNICIPAL POLICE EMPLOYEESand

RATE PER 1,000 POPULATION BY COUNTY 2016



FULL-TIME COUNTY POLICE EMPLOYEES - 2016s

6 0 6 5 301

4 67 710 3 33 7 3

5 0 5 237 842

3 54 74 19502 83 585441 61

8 11 5 6

40 741 8 94

6 8 54

81 86 6713 85 2 8716

3 4 7 55 32

1 2 34 14 4812 2

4 9 3 80 3

7 3 1030 774 12

81 0 71 324 895

22 1 73 95 7449 73 52286 3

13 9 1 10

7 4 101392 7 9 80

50 70 20 99 619

74 7222 25 473 9

3 2 5 0 5

7 6 3 198 324 4

9 7 49 46

6 07 637 941 2 832 9

56

252

63


s

13 8 51 74 25

9 1 200782 43 256 6

59 8 17 442 959

9 9 85 438 253 9194 4

43 39 8 22 4

2 9147 52 0 220 28 96

71 5 206 42 48

67 103 70639 39 7820 9

50 4 34 51 85

7 10 876 157 41 9894 3

86 5 41 2 313

0 31 51621 1 62 170 51

1 14 25 9

8 6 438 106 59 253 3

3 30 3 49 02

6 53 37 30 470 7

89 59 48 2 520

4 99 39 565 40

9 9 85 4olice Department

4 7 1 4 5

40 29 37 2

641 24 565 286 851

, 9 3 , 2,034 ,406

,511 85 4,096 ,222 5,318 0 0 0 0 091 6 97 30 127

FULL-TIME COUNTY POLICE EMPLOYEES - 2016

205 249


1 2 3

1 0 56 66

2 1 3

12 12 5 17

2 1

27 6 3 2 6

8 4 2 53 85

6 3 19 74 93

4 8 4 2

2 20 2

2 6 18 8

Brookdale Community College

Essex County College

Kean University

Middlesex County College

Monmouth University

Montclair State University

New Jersey Institute Of Technology

Princeton University

Rowan University

Rutgers University+

Camden Campus+

New Brunswick Campus+

Newark Campus+

Stevens Institute Of Technology

Stockton University

The College Of New Jersey

William Paterson University

4 4 2 30

9 12 61 3 200

1 8

74 441 572 1,013

28 4 32 68 100

119 29 148 267 415

FULL-TIME POLICE EMPLOYEES UNIVERSITIES AND COLLEGES - 2016

+ Rutgers University total is comprised of the data from the three campuses.

367


POLICE EMPLOYEE DATAThe Uniform Crime Reporting Program of New Jersey incorporates the collection of pertinent data relating to the police of the state. Information regarding police employees strength and trends are discussed in this section.

Individual listings of full-time state, county, university and college police departments are shown in tables within this section. Listings of municipal police departments will be found in Section VII.

The determination of police strength for any given area or municipality should be subject for serious consideration. Such consideration, however, should be based on the numerous factors which create the need for police services. For example, the increased need for police services in a municipality which has highly mobile or seasonal population differs from a municipality which has a relatively stable population. Some other factors, discussed elsewhere in this publication, relate to size, density of population, geographic location, character, and proximity to metropolitan areas. The tables and charts shown in this section should not be interpreted as recommended strength for any given municipality.

TOTAL POLICE EMPLOYEES Total police employees are defined as the total number of full-time police officers and civilian police employees (clerks, dispatchers,

mechanics, etc.) employed by all law enforcement agencies in the state.

During 2016 there were 46,767 full-time police employees in New Jersey. This represents an increase of 2 percent compared to 2015.

The number of full-time police officers increased 1 percent from 36,290 in 2015 to 36,821 in 2016.

The number of full-time civilian employees increased 2 percent, from 9,781 in 2015 to 9,946 in 2016.

Seventy-nine percent were sworn officers and the remaining 21 percent were civilian employees.

MUNICIPAL POLICE EMPLOYEESThis category consists of the number of police employees, including civilian personnel, employed full-time by the municipalities of the state.

During 2016 there were 24,300 municipal police employees, an increase of 2 percent compared to the 23,738 in 2015.

For every 1,000 inhabitants of the state there were 2.7 municipal police employees.

Hudson County reported the largest increase in municipal police employees, an increase of 18 percent (394 employees).

Cape May recorded the highest police employee rate; 4.3 per 1,000 population; (this rate is computed on the static population anddoes not take into account the large influx of seasonal and recreational population).

Hunterdon County recorded the lowest police employee rate; 1.4 per 1,000 population.


MUNICIPAL CIVILIAN POLICE EMPLOYEESThe personnel of each department differ as to the demands and responsibilities placed before them. Many police officers are fully occupied with clerical tasks and are not free to perform active police duties. Employing civilians in police departments to perform clerical duties is in line with the thinking of many police administrators who recommended the use of civilians in this capacity, thus freeing the sworn personnel for actual police services.

There were 4,307 municipal civilian police employees in 2016, an increase of 9 percent when compared to the 3,967 in2015.

Eighteen percent of all municipal police employees were civilians.

MUNICIPAL POLICE OFFICERSThis includes the number of sworn police officers employed full-time by the municipalities of the state. The police employee rate per 1,000 population presented here should not be construed as recommended ratios. The determination of police strength for any municipality should be based on the numerous factors that create the need for police services. These factors such as crime, vary in type and degree from place to place. Some examples are: seasonal population, geographic location, density and composition of the population.

There were 19,993 full-time municipal police officers in 2016; this represents an increase of 1 percent compared to the 19,771 full-timemunicipal police officers in 2015.

The number of full-time police officers was calculated at 2.2 per 1,000 population; remained the same compared to 2015.

Sworn officers represented 82 percent of all municipal police employees.

The largest numerical decrease occurred in Mercer County, a decrease of (32) municipal police officers, or 4 percent.

Cape May County, with 3.4 police officers per 1,000 inhabitants, recorded the highest rate of full-time municipal police officers.

Hunterdon and Sussex Counties recorded the lowest rate of full-time municipal officers with 1.3 police officers per 1,000 population.

OTHER POLICE (State Agencies)In addition to the State Police, there are nine other state agencies reporting to the system. These agencies consist of: New Jersey Forest Fire Service, Department of Corrections, Department of Human Services, Division of Criminal Justice, Division of Fish and Wildlife, Palisades Interstate Parkway, Port Authority NY/NJ, New Jersey Transit Police, and New Jersey State Park Police. No rates were computed due to the variations in the types of police services rendered, and their statewide jurisdictions.

Together, these agencies reported a total of 8,755 full-time employees; a decrease of less than one-half of one percent compared to the8,775 police employees in 2015.

There were 8,169 sworn police officers in 2016, an increase of 1 percent compared to the 8,057 in 2015.

Ninety-three percent were sworn personnel, while the remaining 7 percent were civilians.


COUNTY POLICE, SHERIFFS AND PROSECUTORSThe functions of county law enforcement vary widely throughout the state. The operation of one sheriff’s department may be limited exclusively to civil areas and the administration of the county jail, or they may be actively involved in investigating criminal matters throughout the county.

County police departments are varied in their activities in that some are responsible for enforcement throughout the county, while others may have as their primary mission the policing of county parklands. The responsibilities of the county prosecutor's office includes criminal investigations, trial preparation, court presentation and special probes. Because of the difference in the types of police services rendered, rates for county law enforcement agencies are not presented here.

County law enforcement agencies reported a total of 8,851 full-time police employees in 2016; an increase of 3 percent compared to8,557 in 2015.

There were 5,565 full-time sworn police officers employed by county agencies in 2016. This represents an increase of 4 percent comparedto 5,363 in 2015.

County police agencies reported 3,286 civilian police employees in 2016; an increase of 3 percent compared to 3,194 civilian employees in2015.

Sworn personnel accounted for 63 percent while the remaining 37 percent were civilians.

STATE POLICEThe New Jersey State Police is empowered to provide all phases of law enforcement throughout the state. It also renders, upon request, police services to all the law enforcement agencies in the state. No rates are used due to the variations in the nature and extent of the police services performed by the State Police.

The New Jersey State Police reported 3,848 full-time police employees; an increase of one percent compared to 3,828 in 2015.

State Police employed 2,653 officers in 2016, an increase of 2 percent compared to 2,606 in 2015.

The State Police reported 1,195 civilian employees in 2016; a decrease of 2 percent compared to 1,222 in 2015.

Sworn personnel accounted for 69 percent and civilians represented 31 percent of the total State Police employees.

— Law Enforcement Officers Killed & Assaulted — 185

Section TenSection TenLAW ENFORCEMENT OFFICERSKILLED & ASSAULTEDSUMMARY

— Law Enforcement Officers Killed & Assaulted —186

POLICE OFFICERS KILLED AND ASSAULTEDThe killing or assault of a police officer has a harmful effect on society that reaches far beyond the overt act. Such occurrences constitute an immediate threat to the well-being of the community and serious breach of the internal security of the country. Today, a young person who considers a career in law enforcement must also consider the very strong possibility of being killed or assaulted by a member of the very same society they are sworn to protect. This deplorable situation should be a subject of serious concern, for in truth, an attack on a police officer is an attack on society. The violence directed against law enforcement officers acting in the line of duty is clearly demonstrated by the following information.

POLICE FELONIOUSLY KILLEDVOLUME/TREND

• In 2016, there were no police officers feloniously killed while in the performance of their duties.

Year

2007

2012

2008

2013

2009

2014

2010

2015

2011

Police Officers Killed 20 101001002016


ASSAULTS ON POLICE OFFICERSPolice assault statistics are important to the police administrator who attempts to identify the causative factors of this type of criminal activity. Many factors contribute to police assaults, and circumstances vary from place to place. Identifying specific reasons for these assaults is therefore extremely difficult. The following information illustrates the frequency of these events, and any attempt at analysis of these assaults should include consideration of the unique variables present in each jurisdiction. Due to the broad range of services performed by many state and county police agencies, no assault rates are computed for total police officers.

VOLUME/RATE/TREND There were 1,873 police officers assaulted in 2016, an increase of 8 percent when compared to 2015.

ADDITIONAL ANALYSIS Thirty-two percent (593) of the officers assaulted sustained injury.

Physical Force, such as hands, fists and feet, was used in 88 percent (1,655) of all police assaults.

Thirty-six percent of police assaults occurred when officers responded to disturbance calls.

Fourteen percent of the assaults on police officers occurred during the 2-hour period of 8:00 p.m. to 10:00 p.m.

CLEARANCES The police of New Jersey were successful in clearing in 90 percent of the assaults directed at them.

ASSAULTS ON MUNICIPAL POLICE OFFICERSVOLUME/RATE/TREND A total of 1,526 municipal police officers were assaulted during 2016, a decrease of 1 percent when compared to 2015.

The assault rate for every 100 municipal officers was 7.6, a 3 percent decrease compared to 2015.

ADDITIONAL ANALYSIS Twenty-five percent of the municipal officers assaulted sustained injury.

Physical Force, such as hands, fists and feet, was used in 88 percent (1,336) of all police assaults.

Forty-two percent of the municipal police assaults occurred when officers responded to disturbance calls.

Attempting other arrests accounted for 12 percent of the municipal police assaults.

OTHER POLICE OFFICERS ASSAULTEDThe following law enforcement agencies are handled separately and are not included when computing municipal assault rates; the services performed by these agencies vary greatly from the functions of municipal police agencies.

County law enforcement agencies reported 21 police officers assaulted with 14 sustaining injury.

The New Jersey State Police reported 124 police officers assaulted with 37 sustaining injury.

Other state agencies with police powers reported 188 police officers assaulted with 160 sustaining injury.

University and college police agencies reported 14 police officers assaulted with 8 sustaining injury.

WEAPONS USED IN ASSAULTS ON POLICE OFFICERS

Physical Force Other Weapons Knife Firearms


NUMBER OF ASSAULTS ON POLICE OFFICERS BY HOUR OF DAY


10-Noon 2-4 p.m. 6-8 p.m. 10-12 Mid. 2-4 a.m.6-8 a.m.8-10 a.m. Noon-2 p.m. 4-6 p.m. 8-10 p.m. 12-2 a.m. 4-6 a.m.

300

250

200

150

100

50

0

128119

188

190

255240

183

148

108

170

82

62


ASSAULTS ON POLICE OFFICERS BY TYPE OF ACTIVITYNUMBER - PERCENT DISTRIBUTION

634 42 0 26 21 4 2 1 667 6

20 0 0 0 0 0 20

1 0 0 0 0 0 1

8 2 4 3 2 0 0 215 1

33 2 0 0 1 7 35 2

26 8 0 48 21 67 8 1 330 8

80 0 8 6 0 0 8 0

64 1 5 1 1 0 0 6

101 7 0 0 0 2 2

Ambush

160 0 5 2 9 7 196 0

1,526 1 124 88 14 1,873


20

3 0 0 0 0 0 0 0 0 0 3 0

19 23

26

29

11

19

23

13

7

0

14

50

20

0 3

7


ASSAULTS ON MUNICIPAL POLICE OFFICERS NUMBER - RATE PER 100 OFFICERS BY COUNTY

2016

tlantic 786 95 12.1 6.2

ergen 22 77 60

urlington 7 47 6.53.1

amden 329 212 6.03.9

ape May 4 26 8.01

umberland 6 16 1 0

ssex 527 145 79.5

loucester 6 35 6.22.3

udson 53 189 10.22

unterdon 2 .01

ercer 23 61 8.40

Middlesex 71 47 3.03.1

onmouth 51 3 16.7

orris 1,010 43 4.38

cean 25 70 26

assaic 83 9 8.28

alem 3 7 7.55

omerset 7 33 5.42

ussex 91 9 4.76

nion 23 16 6.34

arren 2 4 63

2620,023 6 100


191

GLOSSARY OF TERMSADULT For Uniform Crime Reporting purposes, a person aged 18 or over.

AMERICAN INDIAN orALASKAN NATIVE

A person having origins in any of the original peoples of North America, and who maintainscultural identification through tribal affiliation or community recognition.

ARREST RATE The number of arrests for Part I and Part II offenses for each unit of population, generally per1,000.

ASIAN orPACIFIC ISLANDER

A person having origins in any of the original peoples of the Far East, Southeast Asia, the Indiansubcontinent, or the Pacific Islands. This area includes, for example: China, India, Japan, Korea,the Philippine Islands, and Samoa.

BLACK A person having origins in any of the black racial groups of Africa, characterized by dark skinpigmentation.

CLEARANCE For Uniform Crime Reporting purposes, the solution to a particular crime, usually by the arrest ofthe offender.

CLEARED BY ARREST For Uniform Crime Reporting purposes, an offense is cleared when the offender has beenidentified, sufficient evidence has been obtained to formally charge and the offender has beenordered to appear in court.

CRIME INDEX The total of the seven major offenses used to measure the extent, fluctuation and distribution ofcrime in a geographical area. The following crimes make up the index: Murder, rape, robbery,aggravated assault, burglary, larceny-theft, and motor vehicle theft; these offenses are referredto as Index offenses.

CRIME RATE The number of Index offenses reported for each unit of population per 1,000.

CRIMES AGAINSTPERSONS

Consists of the following Index offenses: Murder, rape, and aggravated assault.

CRIMES AGAINSTPROPERTY

Consists of the following Index offenses: Robbery, burglary, larceny-theft, and motor vehicle theft.

DAY For Uniform Crime Reporting purposes, the hours from 6:00 a.m. to 6:00 p.m.

ETHNIC ORIGIN Having or originating from linguistic or cultural ties with a specific group.

EXCEPTIONAL CLEARANCE For Uniform Crime Reporting purposes, an offense is cleared exceptionally when an offender hasbeen identified or located and sufficient evidence to charge has been obtained, but there is somereason beyond police control that prohibits the offender from being brought before the court.

HIERARCHY RULE For Uniform Crime Reporting purposes, each crime or attempted crime is counted in only oneoffense category. If several offenses are committed, simply glance down the list of Part I offensesand stop at the first offense recognized from the facts given; this offense is the correctclassification for this criminal activity.

HISPANIC A person of Mexican, Puerto Rican, Cuban, Central or South American, or other Spanish culture ororigin, regardless of race.

JUVENILE For Uniform Crime Reporting purposes, a person under the age of 18.

JUVENILE CLEARANCE Those crimes where the offenders are identified as juveniles.

NIGHT For Uniform Crime Reporting purposes, the hours from 6:00 p.m. to 6:00 a.m.

NONVIOLENT CRIME Consists of the following Index offenses: Burglary, larceny-theft, and motor vehicle theft.

192

POPULATION Is the year-round population of the municipality shown in the most recent State populationestimates published by the Department of Labor, except that in the year of promulgation of aFederal decennial census, the census figures shall be used.

RESORT MUNICIPALITY Is a municipality which, because of its recreational, entertainment or amusement characteristics orfacilities or its close proximity to such characteristics or facilities, experiences a total increaseduring the seasonal period in the number of persons temporarily resident therein of 25 percentor more of its population.

SEASONAL POPULATION Is the average of the estimated number of persons temporarily resident in the municipality duringthe three consecutive months when the temporary population is greatest.

TEMPORARY RESIDENT Means the occupying for any period of time during the seasonal period by any person notcounted as a resident of the municipality for population purposes of an accommodation in arented residential unit or vacation home.

UNFOUNDED Classification of reported crimes that are found to be false or baseless.

VIOLENT CRIME Consists of the following Index offenses: Murder, rape, robbery, and aggravated assault.

WHITE A person having origins in any of the original peoples of Europe, North Africa, or the Middle East.

193

CALCULATIONS OF RATES AND TRENDS1. Crime Rate per 1,000 inhabitants: This represents the number of Index offenses per 1,000 inhabitants.

For example: What is the crime rate for a municipality with 513 Index offenses (murder, rape, robbery,aggravated assault, burglary, larceny-theft and motor vehicle theft), with a population of 8,280?

513 (Index offenses) ÷ 8,280 (population) = .061957 x 1,000 = 62.0 (crime per 1,000 inhabitants)

2. Crime Trend: A crime trend shows the extent to which crime increased or decreased. This is done bycomparing a period of the current year with the same period of a previous year.For example: A municipality experienced 264 Index offenses in a previous year and 513 Index offenses in thecurrent year. What is the percent of the increase?

513 (current year Index offenses) !264 (previous year Index offenses) = 249 (numerical increase)249 (numerical increase) ÷ 264 (previous year) = .943 x 100 = +94% (percent change)

NOTE: If there were more Index offenses in a previous year than in the current year, we would have apercentage decrease.

3. Number of Police personnel per 1,000 inhabitants: This is calculated in the same manner as a crime rate.For example: A municipality with a population of 8,280 and 28 police personnel. How many officers are thereper 1,000 population?

28 (police personnel) ÷ 8,280 (population) = .00338 x 1,000 = 3.4 (police personnel per 1,000 inhabitants)

NOTE: This formula can be applied to either total police personnel or just police officers per 1,000 inhabitants.

4. Police Assaulted Rate: This is calculated at a rate per 100 police officers.For example: A municipality with 25 officers had five of them assaulted during the month. What is the policeassaulted rate?

5 (police officers assaulted) ÷ 25 (police officers) = .2 x 100 = 20 (police assaulted per 100 officers)

5. Clearance Rate: This refers to the percent of Index offenses cleared (solved), over a specific period of time.For example: A municipality with 513 Index offenses in a chosen time frame, cleared 95 of these offenses. Whatis the clearance rate?

95 (Index offenses cleared) ÷ 513 (Index offenses) = .185 x 100 = 18 .5 (percent cleared)

6. Annual Mean Population: Is determined for each municipality designated a resort municipality by use of thefollowing formula:

AMP = 12P + 3SP 12

Where AMP equals Annual Mean Population; P equals Population; SP equals Seasonal Population.

7. Density per Square Mile: The population density is calculated as population divided by total land area (1,000people in a square mile).

Density Per Square Mile = Estimated Population / Area in Square Miles

2016 uniform crime report - new jersey state police · 2018-06-20 · system by every new jersey...

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