This study was designed to develop crime forecasting as an application area for police in support of tactical deployment of resources. Data on crime offense reports and computer aided dispatch (CAD) drug calls and shots fired calls were collected from the Pittsburgh, Pennsylvania Bureau of Police for the years 1990 through 2001. Data on crime offense reports were collected from the Rochester, New York Police Department from January 1991 through December 2001. The Rochester CAD drug calls and shots fired calls were collected from January 1993 through May 2001. A total of 1,643,828 records (769,293 crime offense and 874,535 CAD) were collected from Pittsburgh, while 538,893 records (530,050 crime offense and 8,843 CAD) were collected from Rochester. ArcView 3.3 and GDT Dynamap 2000 Street centerline maps were used to address match the data, with some of the Pittsburgh data being cleaned to fix obvious errors and increase address match percentages. A SAS program was used to eliminate duplicate CAD calls based on time and location of the calls. For the 1990 through 1999 Pittsburgh crime offense data, the address match rate was 91 percent. The match rate for the 2000 through 2001 Pittsburgh crime offense data was 72 percent. The Pittsburgh CAD data address match rate for 1990 through 1999 was 85 percent, while for 2000 through 2001 the match rate was 100 percent because the new CAD system supplied incident coordinates. The address match rates for the Rochester crime offenses data was 96 percent, and 95 percent for the CAD data. Spatial overlay in ArcView was used to add geographic area identifiers for each data point: precinct, car beat, car beat plus, and 1990 Census tract. The crimes included for both Pittsburgh and Rochester were aggravated assault, arson, burglary, criminal mischief, misconduct, family violence, gambling, larceny, liquor law violations, motor vehicle theft, murder/manslaughter, prostitution, public drunkenness, rape, robbery, simple assaults, trespassing, vandalism, weapons, CAD drugs, and CAD shots fired.
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Graph and download economic data for Combined Violent and Property Crime Offenses Known to Law Enforcement in Monroe County, NY (DISCONTINUED) (FBITC036055) from 2004 to 2021 about Monroe County, NY; Rochester; crime; violent crime; property crime; NY; and USA.
Part I Crime - Last 60 Days**First time checking out this data set? Start Here! Data provided in the Crime Map/Viewer are preliminary General Offense Reports extracted from the Rochester Police Department’s Law Enforcement Records Management System. The data is grouped into the Federal Bureau of Investigations (FBI) Uniform Crime Reporting (UCR) Part I Crime classifications, with the exception of Rape, which has been excluded in accordance with privacy regulations.
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Part I Crime - Last 14 Days**First time checking out this data set? Start Here! Data provided in the Crime Map/Viewer are preliminary General Offense Reports extracted from the Rochester Police Department’s Law Enforcement Records Management System. The data is grouped into the Federal Bureau of Investigations (FBI) Uniform Crime Reporting (UCR) Part I Crime classifications, with the exception of Rape, which has been excluded in accordance with privacy regulations.
Homicide Victims and Arrestees in Rochester, NY from 2000 to Present. The dataset includes the date the incident occurred, the date of victim death, and the arrest date (if applicable.)--Updated Daily
Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
License information was derived automatically
Part I Crime - Last 28 Days**First time checking out this data set? Start Here! Data provided in the Crime Map/Viewer are preliminary General Offense Reports extracted from the Rochester Police Department’s Law Enforcement Records Management System. The data is grouped into the Federal Bureau of Investigations (FBI) Uniform Crime Reporting (UCR) Part I Crime classifications, with the exception of Rape, which has been excluded in accordance with privacy regulations.
This dataset replicates the citizen reporting component of POLICE RESPONSE TIME ANALYSIS, 1975 (ICPSR 7760). Information is included on 4,095 reported incidents of aggravated assault, auto theft, burglary, larceny/theft offenses, forcible rape, and robbery. The data cover citizen calls to police between April 21 and December 7, 1979. There are four files in this collection, one each for Jacksonville, Florida, Peoria, Illinois, Rochester, New York, and San Diego, California. The data are taken from police dispatch records and police interviews of citizens who requested police assistance. Variables taken from the dispatch records include the dispatch time, call priority, police travel time, age, sex, and race of the caller, response code, number of suspects, and area of the city in which the call originated. Variables taken from the citizen interviews include respondent's role in the incident (victim, caller, victim-caller, witness-caller), incident location, relationship of caller to victim, number of victims, identification of suspect, and interaction with police.
The counts of arrests are derived from information transmitted from law enforcement agencies to the Division of Criminal Justice Services Computerized Criminal History database for fingerprintable offenses.An adult arrest is defined as an arrest of a person 16 years old or older or a juvenile offender prosecuted in adult court. Fingerprintable offenses (defined in Criminal Procedure Law §160.10) include any felony, a misdemeanor defined in the penal law, a misdemeanor defined outside the penal law which would constitute a felony if such a person had a previous judgment of conviction for a crime, or loitering for the purpose of engaging in prostitution as defined in subdivision two of Penal Law §240.37.
The General Order detailing RPD's policies on hate or bias crime investigations.
RPD's patrol procedures training bulletin on crime scene preservation.
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This study was designed to develop crime forecasting as an application area for police in support of tactical deployment of resources. Data on crime offense reports and computer aided dispatch (CAD) drug calls and shots fired calls were collected from the Pittsburgh, Pennsylvania Bureau of Police for the years 1990 through 2001. Data on crime offense reports were collected from the Rochester, New York Police Department from January 1991 through December 2001. The Rochester CAD drug calls and shots fired calls were collected from January 1993 through May 2001. A total of 1,643,828 records (769,293 crime offense and 874,535 CAD) were collected from Pittsburgh, while 538,893 records (530,050 crime offense and 8,843 CAD) were collected from Rochester. ArcView 3.3 and GDT Dynamap 2000 Street centerline maps were used to address match the data, with some of the Pittsburgh data being cleaned to fix obvious errors and increase address match percentages. A SAS program was used to eliminate duplicate CAD calls based on time and location of the calls. For the 1990 through 1999 Pittsburgh crime offense data, the address match rate was 91 percent. The match rate for the 2000 through 2001 Pittsburgh crime offense data was 72 percent. The Pittsburgh CAD data address match rate for 1990 through 1999 was 85 percent, while for 2000 through 2001 the match rate was 100 percent because the new CAD system supplied incident coordinates. The address match rates for the Rochester crime offenses data was 96 percent, and 95 percent for the CAD data. Spatial overlay in ArcView was used to add geographic area identifiers for each data point: precinct, car beat, car beat plus, and 1990 Census tract. The crimes included for both Pittsburgh and Rochester were aggravated assault, arson, burglary, criminal mischief, misconduct, family violence, gambling, larceny, liquor law violations, motor vehicle theft, murder/manslaughter, prostitution, public drunkenness, rape, robbery, simple assaults, trespassing, vandalism, weapons, CAD drugs, and CAD shots fired.