Facebook
TwitterTempe’s trust data for this measure is collected every month and comes from the “Safety” result from the monthly administered Police Sentiment Survey. There is one question which feeds into these results: "When it comes to the threat of crime, how safe do you feel in your neighborhood?" Benchmark data is from cohorts of communities with similar characteristics, such as size, population density, and region. This data is collected every month and quarter via a recurring report.This page provides data for the Feeling of Safety in Your Neighborhood performance measure. The performance measure dashboard is available at 1.05 Feeling of Safety in Your Neighborhood.Data Dictionary Additional Information Source: Zencity Contact: Amber Asburry Contact email: strategic_management_innovation@tempe.gov Data Source Type: Excel, CSV Preparation Method: Take the "Safety" score from the Police Sentiment Survey. This score includes the average of the top two results from the question underneath this area on the report. These months are then averaged to get the quarterly score. Publish Frequency: Monthly Publish Method: Manual
Facebook
TwitterThis dataset reflects reported incidents of crime that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited.
The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily.
Facebook
TwitterCompare Toronto neighborhood crime rates and safety scores. Updated regularly with official statistics.
Facebook
TwitterThe mission of the Tempe Police Department is to reduce harm in our community, and an important component of this mission is to ensure citizens and visitors feel safe in Tempe. One of the Police Department’s five Key Initiatives is to address crime and fear of crime. This is achieved through responding to citizen calls for police service, addressing crime throughout the city, and working with the community to prevent crime. The Police Department uses data from the annual Community Survey and the Business Survey and other data sources to study crime trends and implement strategies to enhance safety and the feeling of safety in Tempe. Data for this performance measure is drawn from a monthly survey of Tempe residents conducted by Elucd.This data contains monthly survey results on residents feelings of safety in their neighborhood, ranging between 0 and 100.The performance measure page is available at 1.05 Feeling of Safety in Your Neighborhood.Additional InformationSource: This measure comes from a question asked of residents in the monthly sentiment survey conducted by Elucd. Contact (author): Contact E-Mail (author): Contact (maintainer): Brooks LoutonContact E-Mail (maintainer): Brooks_Louton@tempe.govData Source Type: ExcelPreparation Method: ManualPublish Frequency: AnnuallyPublish Method: ManualData Dictionary
Facebook
TwitterAll responses to the community survey on perceptions of police and public safety run by the Somerville Department of Racial and Social Justice from September 2022 to March 2023 as part of the Public Safety for All program.
Facebook
TwitterThe data is released by the Saint Paul Police Department every 2 to 3 weeks and includes the following categories: Homicide, Rape, Robbery, Aggravated Assault, Burglary, Theft, Auto Theft, Arson, Domestic Assaults, Vandalism, Narcotics, and Firearm Discharges. Statistics displayed do not reflect official crime index totals, and may change after full investigation.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset contains 1,000 detailed crime reports collected over the past two years in an urban area. Each record includes the type of crime, precise location coordinates, date and time of occurrence, neighborhood information, and victim demographics such as age, gender, and ethnicity. Additional fields cover whether a weapon was involved and if the crime was reported to police. This data is ideal for building predictive models to identify crime hotspots, improve public safety alerts, and support community policing efforts.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Update Frequency: Daily
Current year to date. The data included in this dataset has been reviewed and approved by a Milwaukee Police Department supervisor and the Milwaukee Police Department’s Records Management Division. This approval process can take a few weeks from the reported date of the crime. For preliminary crime data, please visit the Milwaukee Police Department’s Crime Maps and Statistics dashboard at https://city.milwaukee.gov/police/Information-Services/Crime-Maps-and-Statistics.
Wisconsin Incident Based Report (WIBR) Group A Offenses.
The Crime Data represents incident level data defined by Wisconsin Incident Based Reporting System (WIBRS) codes. WIBRS reporting is a crime reporting standard and can not be compared to any previous UCR report. Therefore, the Crime Data may reflect:
Neither the City of Milwaukee nor the Milwaukee Police Department guarantee (either express or implied) the accuracy, completeness, timeliness, or correct sequencing of the Crime Data. The City of Milwaukee and the Milwaukee Police Department shall have no liability for any error or omission, or for the use of, or the results obtained from the use of the Crime Data. In addition, the City of Milwaukee and the Milwaukee Police Department caution against using the Crime Data to make decisions/comparisons regarding the safety of or the amount of crime occurring in a particular area. When reviewing the Crime Data, the site user should consider that:
This data is not intended to represent a total number/sum of crimes, rather 1 = True and 0 = False.
The use of the Crime Data indicates the site user's unconditional acceptance of all risks associated with the use of the Crime Data.
To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page. XY fields in data is in projection Wisconsin State Plane South NAD27 (WKID 32054).
Facebook
TwitterThis dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
Facebook
TwitterThis dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2017). For additional details, please see the attached data dictionary in the ‘About’ section.
Facebook
TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Police recorded crime figures by Police Force Area and Community Safety Partnership areas (which equate in the majority of instances, to local authorities).
Facebook
TwitterPlease see data table https://data.tempe.gov/datasets/tempegov::police-sentiment-survey-detail-1/about for continued data updates. This table was deprecated 11/3/2022.-----------------------------------------------This data supports the 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score performance measures.This data is the result of a community survey of approximately 500 residents collected electronically and monthly by Elucd on behalf of Tempe Police Department. The scores are provided to TPD monthly in PDF form, and are then transferred to Excel for Open Data. The trust score is a 0 to 100 measure, and is a combination of two questions: How much do you agree with this statement? The police in my neighborhood treat people with respect. How much do you agree with this statement? The police in my neighborhood listen to and take into account the concerns of local residents.The safety score is a 0 to 100 measure, and scores residents' feelings of safety in their neighborhood.The performance measure pages are available at 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score.Additional InformationSource: ElucdContact (author): Carlena OroscoContact E-Mail (author): Carlena_Orosco@tempe.gov Contact (maintainer): Carlena OroscoContact E-Mail (maintainer): Carlena_Orosco@tempe.gov Data Source Type: ExcelPreparation Method: This data is from a citizen survey collected monthly by Elucd and provided in Excel for publication.Publish Frequency: MonthlyPublish Method: ManualData Dictionary
Facebook
TwitterThis dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
Facebook
TwitterThis data supports the 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score performance measures.This data is the result of a community survey of approximately 500 residents collected electronically and monthly by Zencity on behalf of Tempe Police Department. The scores are provided to TPD monthly in PDF form, and are then transferred to Excel for Open Data. The trust score is a 0 to 100 measure, and is a combination of two questions: How much do you agree with this statement? Trust-Respect: The police in my neighborhood treat people with respect. How much do you agree with this statement? Trust-Listen: The police in my neighborhood listen to and take into account the concerns of local residents.The safety score is a 0 to 100 measure, and scores residents' feelings of safety in their neighborhood.The performance measure pages are available at 1.05 Feeling of Safety in Your Neighborhood and 2.06 Police Trust Score.Additional InformationSource: ZencityContact (author): Carlena OroscoContact E-Mail (author): Carlena_Orosco@tempe.gov Contact (maintainer): Carlena OroscoContact E-Mail (maintainer): Carlena_Orosco@tempe.gov Data Source Type: Zencity REST APIPreparation Method: This data is from a citizen survey collected monthly by Zencity and provided in an automated survey feed to the City of Tempe.Publish Frequency: MonthlyPublish Method: Zencity REST API Automated Survey Feed Updates ArcGIS Online feature layer.Data Dictionary
Facebook
TwitterComprehensive crime data for Toronto neighborhoods
Facebook
TwitterList of the data tables as part of the ‘Crime outcomes in England and Wales’ Home Office release.
There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.
These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. If you have any feedback, please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.
Crime outcomes in England and Wales statistics
Police recorded crime and outcomes open data tables user guide
https://assets.publishing.service.gov.uk/media/680797798c1316be7978e6cb/recrime-geo-pfa.csv">Recorded crime data geographical reference table (CSV, 21.9 KB)
https://assets.publishing.service.gov.uk/media/6807988b148a9969d2394e5a/reccrime-offence-ref.ods">Recorded crime data offence reference table (ODS, 14 KB)
https://assets.publishing.service.gov.uk/media/68f1fe732f0fc56403a3cfdc/prc-pfa-mar2013-onwards-tables-231025.ods">Police recorded crime open data Police Force Area tables, year ending March 2013 onwards (ODS, 12.9 MB)
https://assets.publishing.service.gov.uk/media/680799ed8c1316be7978e6cd/prc-pfa-mar2008-mar2012-tabs.ods">Police recorded crime open data Police Force Area tables from March 2008 to March 2012 (ODS, 6.05 MB)
https://assets.publishing.service.gov.uk/media/68079a4f3bdfd1243078e6d2/prc-pfa-0203-to-0607-tabs.ods">Police recorded crime open data Police Force Area tables from year ending March 2003 to year ending March 2007 (ODS, 4.79 MB)
https://assets.publishing.service.gov.uk/media/68f63c381c9076042263f0b7/prc-subcodes-vawg-offences-mar2020-jun2025-231025.ods">Police recorded crime subcodes for selected VAWG offences, from year ending March 2020 to year ending June 2025 (ODS, 694 KB)
https://assets.publishing.service.gov.uk/media/68f126b22f0fc56403a3cfbf/prc-csp-mar21-jun25-tables-231025.ods">Police recorded crime Community Safety Partnership open data, year ending March 2021 to year ending June 2025 (ODS, 41.3 MB)
https://assets.publishing.service.gov.uk/media/68f12a781c9076042263efa7/prc-csp-mar16-mar20-tables-231025.ods">Police recorded
Facebook
TwitterThis dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
Facebook
TwitterCrime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.
Facebook
Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/6789/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6789/terms
The Department of Justice launched Operation Weed and Seed in 1991 as a means of mobilizing a large and varied array of resources in a comprehensive, coordinated effort to control crime and drug problems and improve the quality of life in targeted high-crime neighborhoods. In the long term, Weed and Seed programs are intended to reduce levels of crime, violence, drug trafficking, and fear of crime, and to create new jobs, improve housing, enhance the quality of neighborhood life, and reduce alcohol and drug use. This baseline data collection effort is the initial step toward assessing the achievement of the long-term objectives. The evaluation was conducted using a quasi-experimental design, matching households in comparison neighborhoods with the Weed and Seed target neighborhoods. Comparison neighborhoods were chosen to match Weed and Seed target neighborhoods on the basis of crime rates, population demographics, housing characteristics, and size and density. Neighborhoods in eight sites were selected: Akron, OH, Bradenton (North Manatee), FL, Hartford, CT, Las Vegas, NV, Pittsburgh, PA, Salt Lake City, UT, Seattle, WA, and Shreveport, LA. The "neighborhood" in Hartford, CT, was actually a public housing development, which is part of the reason for the smaller number of interviews at this site. Baseline data collection tasks included the completion of in-person surveys with residents in the target and matched comparison neighborhoods, and the provision of guidance to the sites in the collection of important process data on a routine uniform basis. The survey questions can be broadly divided into these areas: (1) respondent demographics, (2) household size and income, (3) perceptions of the neighborhood, and (4) perceptions of city services. Questions addressed in the course of gathering the baseline data include: Are the target and comparison areas sufficiently well-matched that analytic contrasts between the areas over time are valid? Is there evidence that the survey measures are accurate and valid measures of the dependent variables of interest -- fear of crime, victimization, etc.? Are the sample sizes and response rates sufficient to provide ample statistical power for later analyses? Variables cover respondents' perceptions of the neighborhood, safety and observed security measures, police effectiveness, and city services, as well as their ratings of neighborhood crime, disorder, and other problems. Other items included respondents' experiences with victimization, calls/contacts with police and satisfaction with police response, and involvement in community meetings and events. Demographic information on respondents includes year of birth, gender, ethnicity, household income, and employment status.
Facebook
Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/20620/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/20620/terms
The purpose of the study was to evaluate the effects of Neighborhood Watch signs on perceived crime rates, likelihood of victimization, community safety, and estimates of home and community quality. Part 1 (Study One Data) assessed the causal impact of Neighborhood Watch sign presence and content on perceptions of the community. Three Neighborhood Watch signs were incorporated into a series of slide show presentations. The signs utilized the traditional orange and white color scheme with black text and were used to represent an injunctive norm alone, a low descriptive norm for crime, or a high descriptive norm for crime. Digital color images of a for-sale home and the surrounding neighborhood of a middle class community in North San Diego County were shown to 180 undergraduates recruited from the Psychology Department's Human Participant Pool, and from other lower division general education courses at California State University, San Marcos, between July and November of 2005. Three of the slide shows were designated as Neighborhood Watch communities with one of the three sign types posted, and the fourth slide show served as a control with no posted crime prevention signs. Each slide show consisted of 20 images of the home and community, along with four instruction slides. Part 2 (Study Two Data) replicated the basic effect from Study 1 and extended the research to examine the moderating role of community social economic status (SES) on the effects of the Neighborhood Watch signs. Participants were 547 undergraduate students recruited from the Psychology Department's Human Participant Pool, and from other lower division general education courses at California State University and Palomar Community College in San Marcos, between January and September 2006. A total of 12 slide shows were utilized in Study Two, such that each of the four sign conditions from Study One was represented across each of the three communities (Low, Middle, and High SES). Part 3 (Study Three Data) examined the potential for the physical condition of the Neighborhood Watch signs posted in the community to convey normative information about the presence and acceptance of crime in the community. Participants were 364 undergraduate students recruited from the Psychology Department's Human Participant Pool, and from other lower division general education courses at California State University and Palomar Community College in San Marcos, between October 2006 and March 2007. Study Three used the same generic (Injunctive Norm, Program Only) sign that was utilized in Studies One and Two. However, three variations (new, aged, and defaced) of the sign were used. The surveys used for Study One, Study Two, and Study Three, were identical. The data include variables on perceived crime rates, perceived likelihood of victimization, perceived community safety, community ratings, self-protective behavior, burglar's perspective, manipulation check, and demographics of the respondent.
Facebook
TwitterTempe’s trust data for this measure is collected every month and comes from the “Safety” result from the monthly administered Police Sentiment Survey. There is one question which feeds into these results: "When it comes to the threat of crime, how safe do you feel in your neighborhood?" Benchmark data is from cohorts of communities with similar characteristics, such as size, population density, and region. This data is collected every month and quarter via a recurring report.This page provides data for the Feeling of Safety in Your Neighborhood performance measure. The performance measure dashboard is available at 1.05 Feeling of Safety in Your Neighborhood.Data Dictionary Additional Information Source: Zencity Contact: Amber Asburry Contact email: strategic_management_innovation@tempe.gov Data Source Type: Excel, CSV Preparation Method: Take the "Safety" score from the Police Sentiment Survey. This score includes the average of the top two results from the question underneath this area on the report. These months are then averaged to get the quarterly score. Publish Frequency: Monthly Publish Method: Manual