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Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations.
DISCLAIMER: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Note: Due to the RMS change for CPS, this data set stops on 6/2/2024. For records beginning on 6/3/2024, please see the dataset at this link: https://data.cincinnati-oh.gov/safety/Reported-Crime-STARS-Category-Offenses-/7aqy-xrv9/about_data
Data Description: This data represents reported Crime Incidents in the City of Cincinnati. Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations. This does not include police calls for service, arrest information, final case determination, or any other incident outcome data.
Data Creation: The Cincinnati Police Department's (CPD) records crime incidents in the City through Records Management System (RMS) that stores agency-wide data about law enforcement operations.
Data Created By: The source of this data is the Cincinnati Police Department.
Refresh Frequency: This data is updated daily.
CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/8eaa-xrvz
Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.
Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).
Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad
Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
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TwitterCPD and OPDA are continuously working together to regularly review and improve how crime data is shared with the community. Updates will be tracked at this link: https://insights.cincinnati-oh.gov/stories/s/Banner-Statements-for-Reported-Crime/tcg6-ci6n/
Data Description: This data represents reported Crime incidents reported by STARS offense category Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations. This does not include police calls for service, arrest information, final case determination, or any other incident outcome data.
Data Creation: The Cincinnati Police Department's (CPD) records crime incidents in the City through Records Management System (RMS) that stores agency-wide data about law enforcement operations.
NOTE: CPD transitioned to a new RMS on June 3rd, 2024. Columns may differ before or after that date due to differences in the way the RMS stores the information. To view Records from before 6/3/2024 visit this link: https://data.cincinnati-oh.gov/safety/Reported-Crime-STARS-Category-Offenses-before-6-3-/8xzn-kpn7/about_data
Data Created By: The source of this data is the Cincinnati Police Department.
Refresh Frequency: This data is updated daily.
CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/8eaa-xrvz
Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).
Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad
Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/28044/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/28044/terms
The purpose of the study was to evaluate the implementation of the Safe City crime prevention model that was implemented in designated retail areas in jurisdictions across the United States. The model involved frequent meetings and information-sharing among the police, Target, and neighboring retailers, along with the implementation of enhanced technology. The first step in the Safe City evaluation involved selecting evaluation sites. The final sites selected were Chula Vista, California, and Cincinnati, Ohio. Next, for each of the two sites, researchers selected a site that had a potential for crime displacement caused by the intervention area, and a matched comparison area in another jurisdiction that would likely have been selected as a Safe City site. For Chula Vista, the displacement area was 2 miles east of the intervention area and the comparison area was in Houston, Texas. For Cincinnati, the displacement area was 1.5 miles north of the intervention area and the comparison area was in Buffalo, New York. In Chula Vista, the Safe City intervention activities were focused on gaining a better understanding of the nature and underlying causes of the crime and disorder problems occurring in the designated Safe City site, and strengthening pre-existing partnerships between law enforcement and businesses affected by these problems. In Cincinnati, the Safe City intervention activities centered on increasing business and citizen awareness, communication, and involvement in crime control and prevention activities. The research team collected pre- and post-intervention crime data from local police departments (Part 1) to measure the impact of the Safe City initiatives in Chula Vista and Cincinnati. The 981 records in Part 1 contain monthly crime counts from January 2004 to November 2008 for various types of crime in the retail areas that received the intervention in Chula Vista and Cincinnati, and their corresponding displacement zones and matched comparison areas. Using the monthly crime counts contained in the Safe City Monthly Crime Data (Part 1) and estimations of the total cost of crime to society for various offenses from prior research, the research team calculated the total cost of crimes reported during the month/year for each crime type that was readily available (Part 2). The 400 records in the Safe City Monthly Cost Benefit Analysis Data (Part 2) contain monthly crime cost estimates from January 2004 to November 2008 for assaults, burglaries, larcenies, and robberies in the retail areas that received the intervention in Chula Vista and Cincinnati, and their corresponding displacement zones and matched comparison areas. The research team also received a total of 192 completed baseline and follow-up surveys with businesses in Chula Vista and Cincinnati in 2007 and 2008 (Part 3). The surveys collected data on merchants' perceptions of crime and safety in and around businesses located in the Safe City areas. The Safe City Monthly Crime Data (Part 1) contain seven variables including the number of crimes in the target area, the month and year the crime was committed, the number of crimes in the displacement area, the number of crimes in a comparable area in a comparable city, the city, and the crime type. The Safe City Monthly Cost Benefit Analysis Data (Part 2) contain seven variables including the cost of the specified type of crime occurring in the target area, the month and year the cost was incurred, the cost of the specified type of crime in the displacement area, the cost of the specified type of crime in a matched comparison area, the city, and the crime type. The Safe City Business Survey Data (Part 3) contain 132 variables relating to perceptions of safety, contact with local police, experience and reporting of crime, impact of crime, crime prevention, community connections, and business/employee information.
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TwitterData Description: This data represents reported Crime incidents reported by STARS offense category in the City of Cincinnati. Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations. This does not include police calls for service, arrest information, final case determination, or any other incident outcome data.
Data Creation: The Cincinnati Police Department's (CPD) records crime incidents in the City through Records Management System (RMS) that stores agency-wide data about law enforcement operations.
NOTE: CPD transitioned to a new RMS on June 3rd, 2024. Columns may differ before or after that date due to differences in the way the RMS stores the information. To view offenses on or after 6/3/2024 visit this link: https://data.cincinnati-oh.gov/safety/Reported-Crime-STARS-Category-Offenses-/7aqy-xrv9/about_data
Data Created By: The source of this data is the Cincinnati Police Department.
Refresh Frequency: This data is updated daily.
CincyInsights: The City of Cincinnati maintains an interactive dashboard portal, CincyInsights in addition to our Open Data in an effort to increase access and usage of city data. This data set has an associated dashboard available here: https://insights.cincinnati-oh.gov/stories/s/8eaa-xrvz
Data Dictionary: A data dictionary providing definitions of columns and attributes is available as an attachment to this dataset.
Processing: The City of Cincinnati is committed to providing the most granular and accurate data possible. In that pursuit the Office of Performance and Data Analytics facilitates standard processing to most raw data prior to publication. Processing includes but is not limited: address verification, geocoding, decoding attributes, and addition of administrative areas (i.e. Census, neighborhoods, police districts, etc.).
Data Usage: For directions on downloading and using open data please visit our How-to Guide: https://data.cincinnati-oh.gov/dataset/Open-Data-How-To-Guide/gdr9-g3ad
Disclaimer: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
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TwitterThe purpose of this research was to improve understanding of the conditions under which criminal sanctions do and do not reduce repeat violence between intimate partners. This study involved repeated reading and close inspection of four documents in order to compare and contrast the multivariate analyses reported by John Wooldredge and Amy Thistlethwaite (RECONSIDERING DOMESTIC VIOLENCE RECIDIVISM: INDIVIDUAL AND CONTEXTUAL EFFECTS OF COURT DISPOSITIONS AND STAKE IN CONFORMITY IN HAMILTON COUNTY, OHIO, 1993-1998 [ICPSR 3013]). The first part of this study's design involved the detailed literature review of four Wooldredge and Thistlethwaite publications between the years 1999 and 2005. The second element of the study's design required researchers to gain a detailed understanding of the archived data using the documentation provided by Wooldredge. The third element of the study's secondary analysis research design involved using the identified variables to reproduce the multivariate empirical findings about the effects of sanctions, stakes, and social context on repeat offending. These findings were presented in a series of tables in the four Wooldredge and Thistlethwaite publications. After numerous iterations of reading reports and documentation and exploring alternative measures and methods, researchers produced a report detailing their ability to reproduce Wooldredge and Thistlethwaite's descriptive measures. This study's design called for using explicit criteria for determining the extent to which Wooldredge and Thistlethwaite's findings could be reproduced. Researchers developed and applied three criteria for making that determination. The first was a simple comparison of the regression coefficients and standard errors. The second criterion was a determination of whether the reproduced results conformed to the direction and statistical significance levels of the original analyses. The third criterion was to apply a statistical test to assess the significance of any differences in the sizes of the original and the reproduced coefficients. The data archived by Wooldredge provided seven dichotomous measures of criminal sanctions (no charges filed, dismissed, acquitted, a treatment program, probation only, jail only, and a combination of probation and jail). Part of the design of this study was to go beyond reproducing Wooldredge and Thistlethwaite's approaches and to reformulate the available measures of criminal sanctions to more directly test the prosecution, conviction, and sentence severity hypotheses. The researchers produced these tests by constructing three new measures of criminal sanctions (prosecution, conviction, and sanction severity) and testing each of them in separate multivariate models. The Part 1 (Hamilton County, Ohio, Census Tract Data) data file contains 206 cases and 35 variables. The Part 2 (Neighborhood Data) data file contains 47 cases and 12 variables. The variables in Part 1 (Hamilton County, Ohio, Census Tract Data) include a census tract indicator, median household income of tract, several proportions such as number of college graduates in the tract and corresponding Z-scores, a regression factor score for analysis 1, a socio-economic factor, a census tract number for the city of Cincinnati, Ohio, and a Cincinnati neighborhoods indicator. Variables in Part 2 (Neighborhood Data) include a neighborhood indicator, average age in the neighborhood, demographic proportions such as proportion male in the neighborhood and proportion of college graduates in the neighborhood, and a social class factor.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations.
DISCLAIMER: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.
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Facebook
TwitterU.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations.
DISCLAIMER: In compliance with privacy laws, all Public Safety datasets are anonymized and appropriately redacted prior to publication on the City of Cincinnati’s Open Data Portal. This means that for all public safety datasets: (1) the last two digits of all addresses have been replaced with “XX,” and in cases where there is a single digit street address, the entire address number is replaced with "X"; and (2) Latitude and Longitude have been randomly skewed to represent values within the same block area (but not the exact location) of the incident.