Updated daily postings on Montgomery County’s open data website, dataMontgomery, provide the public with direct access to crime statistic databases - including raw data and search functions – of reported County crime. The data presented is derived from reported crimes classified according to the National Incident-Based Reporting System (NIBRS) of the Criminal Justice Information Services (CJIS) Division Uniform Crime Reporting (UCR) Program and documented by approved police incident reports. The data is compiled by “EJustice”, a respected law enforcement records-management system used by the Montgomery County Police Department and many other law enforcement agencies. To protect victims’ privacy, no names or other personal information are released. All data is refreshed on a quarterly basis to reflect any changes in status due to on-going police investigation.
dataMontgomery allows the public to query the Montgomery County Police Department's database of founded crime. The information contained herein includes all founded crimes reported after July 1st 2016 and entered to-date utilizing Uniform Crime Reporting (UCR) rules. Please note that under UCR rules multiple offenses may appear as part of a single founded reported incident, and each offense may have multiple victims. Please note that these crime reports are based on preliminary information supplied to the Police Department by the reporting parties. Therefore, the crime data available on this web page may reflect:
-Information not yet verified by further investigation -Information that may include attempted and reported crime -Preliminary crime classifications that may be changed at a later date based upon further investigation -Information that may include mechanical or human error -Arrest information [Note: all arrested persons are presumed innocent until proven guilty in a court of law.]
Update Frequency: Daily
This 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 Data Fulfillment and Analysis Division of the Chicago Police Department at DFA@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 are updated daily. 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
Disclaimer: Crime Responses is provided by the Gainesville Police Department (GPD) to document initial details surrounding an incident to which GPD officers respond. This dataset contains crime incidents from 2011 to present and includes a reduced set of fields focused on capturing the type of incident as well when and where an incident occurred. The Incident location addresses have been rounded off and are not the exact location due to the constitutional amendment known as "Marsy's Law".
In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.
This data comes from the police department and includes crime data sorted by offense. To respect the privacy of juvenile offenses and witnesses the data has been generalized to the hundred block of the event. Cases involving juvenile related data has been removed. The data is updated weekly.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER Please read and understand the following information.
This dataset contains a record of incidents that the Austin Police Department responded to and wrote a report. Please note one incident may have several offenses associated with it, but this dataset only depicts the highest level offense of that incident. Data is from 2003 to present. This dataset is updated weekly. Understanding the following conditions will allow you to get the most out of the data provided. Due to the methodological differences in data collection, different data sources may produce different results. This database is updated weekly, and a similar or same search done on different dates can produce different results. Comparisons should not be made between numbers generated with this database to any other official police reports. Data provided represents only calls for police service where a report was written. Totals in the database may vary considerably from official totals following investigation and final categorization. Therefore, the data should not be used for comparisons with Uniform Crime Report statistics. The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. Pursuant to section 552.301 (c) of the Government Code, the City of Austin has designated certain addresses to receive requests for public information sent by electronic mail. For requests seeking public records held by the Austin Police Department, please submit by utilizing the following link: https://apd-austintx.govqa.us/WEBAPP/_rs/(S(0auyup1oiorznxkwim1a1vpj))/supporthome.aspx
The dataset includes crime statistics from law enforcement agencies operating in Nova Scotia. It is based on police-reported incidents of crime reported through the national Uniform Crime Reporting Survey (UCR). Statistics include the Crime Severity Index (CSI), the Violent Crime Severity Index (VCSI), and the Non-violent Crime Severity Index (NVCSI). Data source: Statistics Canada.
**Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. **
**Update 1/18/2024 - LAPD is facing issues with posting the Crime data, but we are taking immediate action to resolve the problem. We understand the importance of providing reliable and up-to-date information and are committed to delivering it.
As we work through the issues, we have temporarily reduced our updates from weekly to bi-weekly to ensure that we provide accurate information. Our team is actively working to identify and resolve these issues promptly.
We apologize for any inconvenience this may cause and appreciate your understanding. Rest assured, we are doing everything we can to fix the problem and get back to providing weekly updates as soon as possible. **
This dataset reflects incidents of crime in the City of Los Angeles dating back to 2020. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
List of crime incidents featured in the Cambridge Police Department’s Annual Crime Reports and reported in the City of Cambridge since 2009. Includes more than 40 crime types. Certain crime types are excluded due to confidentiality and/or protection of privacy. Please Note: Addresses do not represent the actual location of the crime, but a near approximation within 100 block ranges. For reports published by the Cambridge Police Department’s Crime Analysis Unit, visit http://www.cambridgema.gov/cpd/Publications.aspx.
Best Data at the Time: All statistics, including yearly totals and weighted averages, are calculated using the best available data at the time. Occasionally, after our reports are published, factors determined during investigation will cause us to reclassify a crime to a higher or lower category, and thus you may see slight discrepancies between current and past reports. In all cases, the more recent data is the more correct data.
This dataset will be periodically revised to ensure compliance with all local, state and federal privacy rights and legal requirements.
Data is no longer provided by the Calgary Police Service. To access latest data click here. This data is considered cumulative as late-reported incidents are often received well after an offence has occurred. Therefore, crime counts are subject to change as they are updated. Crime count is based on the most serious violation (MSV) per incident. Violence: These figures include all violent crime offences as defined by the Centre for Canadian Justice Statistics Universal Crime Reporting (UCR) rules. Domestic violence is excluded. Break and Enter: Residential B&E includes both House and ‘Other’ structure break and enters due to the predominantly residential nature of this type of break in (e.g. detached garages, sheds). B&Es incidents include attempts.
The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the Maryland State Police's annual Uniform Crime Reports.
This dataset includes all criminal offenses reported to the Colorado Springs Police Department. Each case report (incident) may have several offenses. Each offense may have multiple suspects and/or victims.
Important: This dataset provided by CSPD does not apply the same counting rules as official data reported to the Colorado Bureau of Investigations and the Federal Bureau of Investigation. This means comparisons to those datasets would be inaccurate.
The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the Maryland State Police's annual Uniform Crime Reports.
Reported crimes of the Marin County Sheriff's Department. Data is updated every four hours. Data begins as of January 1, 2013. Each reported crime includes its date/time, approximate location, crime type, and crime classification.
NOTE: For the safety and security of victims of crimes, street address locations, other than reported street intersections or highway locations, are not exact. They are adjusted to the nearest block level.
There are two columns of city/town information. The first is the reported city/town name in the crime records. The second, which is not in the crime records, is a translation of it into the more commonly known city/town name, or into Marin County when it appears to be in an unincorporated area. For example, Almonte and Tam Valley are reported city/town names, but they are both in the more commonly known city of Mill Valley. Lucas Valley translates to San Rafael, etc. We hope that the translated city/town column will facilitate analysis.
***On January 1, 2021, the Baton Rouge Police Department switched to a new reporting system. This dataset contains data starting on 1/1/2011 through 12/31/2020. For data from 1/1/2021 onward, please visit: https://data.brla.gov/Public-Safety/Baton-Rouge-Police-Crime-Incidents/pbin-pcm7
Crimes reported in Baton Rouge and handled by the Baton Rouge Police Department. Crimes include Burglaries (Vehicle, Residential and Non-residential), Robberies (Individual and Business), Theft, Narcotics, Vice Crimes, Assault, Nuisance, Battery, Firearm, Homicides, Criminal Damage to Property, Sexual Assaults and Juvenile. In order to protect the privacy of sexual assault victims and juvenile victims, these incidents are not geocoded and will not be mapped.
Please see the disclaimer in the Attachments section of the About page.
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) 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. 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://bit.ly/rk5Tpc.
The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.
This dataset reflects incidents of crime in the City of Los Angeles from 2010 - 2019. This data is transcribed from original crime reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs' departments. DCJS compiles these reports as New York's official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.
Offenses in Colorado for 2016 through 2022 by Agency from the FBI's Crime Data Explorer.
Some location data has a data quality issue and has temporarily removed while we resolve the issue. WE will work on making it available as the highest priority.
The Seattle Police Department (SPD) replaced its Records Management System (RMS) in May 2019. To preserve data quality and continuity between systems (2008-Present), SPD relied on the National Incident-Based Reporting System (NIBRS). The standardization of crime classifications allows for comparison over time. For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs.
Additional groupings are used to analyze crime in SPD’s Crime Dashboard. Violent and property crime categories align with best practices. For additional inquiries, we encourage the use of the underline data to align with the corresponding query.
Disclaimer: Only finalized (UCR approved) reports are released. Those in draft, awaiting approval, or completed after the update, will not appear until the subsequent day(s). Data is updated once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process.
Violent crime rate for each jurisdiction in Fulton County, Georgia (2014 and 2015)
This is the most current information as of the date of upload. This provides the user the ability to view the most current crime information within Kansas City, Missouri. The displayed information is the most current information from the data source as of the date of upload. The data source is dynamic and therefore constantly changing. Changes to the information may occur, as incident information is refined. While the Board of Police Commissioners of Kansas City, Missouri (Board) makes every effort to maintain and distribute accurate information, no warranties and/or representations of any kind are made regarding information, data or services provided. The Board is not responsible for misinterpretation of this information and makes no inference or judgment as to the relative safety to any particular area or neighborhood. In no event shall the Board be liable in any way to the users of this data. Users of this data shall hold the Board harmless in all matters and accounts arising from the use and/or accuracy of this data.
Crime incident reports beginning January 1, 2021. Includes records for all crimes such as burglaries (vehicle, residential and non-residential), robberies (individual and business), auto theft, homicides and other crimes against people, property and society that occurred within the Parish of East Baton Rouge and responded to by the East Baton Rouge Parish Sheriff's Office.
Please see the disclaimer attachment in the About section of the primer page.
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
The combined data will be available by 3/10/2025 at the linke above.
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.
Visit crimemapping.com (https://www.crimemapping.com/) for a visual view of the data.
SANDAG provides an annual report on crime in the San Diego region. This dataset contains data from the 2009 through 2022 editions of the report. Data for 2023 is converted from California Incident Based Reporting System (CIBRS) data provided by SANDAG. Additional data comes from Arjis and DOJ OpenJustice. Some data for previous years reports is updated with new editions. "San Diego County" includes all cities and unincorporated areas in San Diego County. "Sheriff - Total" includes the contract cities and the unincorporated area served by the San Diego County Sheriff's Department. California and United States data come from the FBI's Annual Crime Reports.
Crime incident reports beginning January 1, 2021. Includes records for all crimes such as burglaries (vehicle, residential and non-residential), robberies (individual and business), auto theft, homicides and other crimes against people, property and society that occurred within the City of Baton Rouge and responded to by the Baton Rouge Police Department.
Please see the disclaimer attachment in the About section of the primer page.
For Crime Incidents prior to 1/1/2021 visit the Legacy Baton Rouge Police Crime Incident dataset at https://data.brla.gov/Public-Safety/Legacy-Baton-Rouge-Police-Crime-Incidents/fabb-cnnu.
***In January 2020, as part of implementing a new citywide police incident reporting system the City began moving away from reporting crime to the FBI Unified Crime Reporting (UCR) Program and instead to the new National Incident-Based Reporting System (NIBRS) format. For this reason, 2020 UCR data may have inconsistencies and/or inaccuracies. A filtered view of UCR data is available for 2011-2019 at https://citydata.mesaaz.gov/Police/Crime-Reporting-Statistics-Uniform-Crime-Reporting/bfen-qa5d
As of January 1, 2021, the National Incident-Based Reporting System (NIBRS) became the national crime data collection program. NIBRS was implemented to improve the overall quality of crime data collected by law enforcement, by capturing details on each single crime incident, as well as on separate offenses within the same incident. The historic Summary Reporting System (SRS) data collection, which collects more limited information than the more robust NIBRS, was phased out to make Uniform Crime Reporting (UCR) a NIBRS-only data collection.
Coming soon, look for a new dataset based on NIBRS, which will provide more complete and comprehensive data for law enforcement, researchers, and the public.
The Uniform Crime Reporting Program collects statistics on the number of offenses known to City of Mesa Police Department. Address and Location data are not exact location of incidents and have been rounded to nearest hundred block. Lat/Long are approximations only based on rounded hundred block. Part 1 offenses are reported monthly and are chosen by the Federal Bureau of Investigation (FBI) because they are serious crimes, they occur with regularity in all areas of the country, and they are likely to be reported to police. Part I offenses are defined as: Criminal homicide, Forcible Rape, Robbery, Aggravated Assault, Burglary (breaking or entering), Larceny-theft (except motor vehicle theft), Motor vehicle theft and Arson.
This dataset shows the number of major property crimes and major violent crimes reported by MPD each month.
The Prince George’s County Police Department (PGPD) provides the displayed data as a service to our community. The included data does not represent every call for service handled by PGPD. Information is provided regarding traffic accidents, assaults, burglaries, homicides, robberies, sex offenses, stolen vehicles, thefts and vandalisms where a report has been written. Included information for any of these events has been modified to remove specific address location. In order to provide victim confidentiality, address numbers have been rounded to closest hundred block and any mapped locations will show occurrence based on the street centerline. We hope you will find this information useful.
Illinois Uniform Crime Reporting (IUCR) codes are four digit codes that law enforcement agencies use to classify criminal incidents when taking individual reports. These codes are also used to aggregate types of cases for statistical purposes. In Illinois, the Illinois State Police establish IUCR codes, but the agencies can add codes to suit their individual needs. The Chicago Police Department currently uses more than 400 IUCR codes to classify criminal offenses, divided into “Index” and “Non-Index” offenses. Index offenses are the offenses that are collected nation-wide by the Federal Bureaus of Investigation’s Uniform Crime Reports program to document crime trends over time (data released semi-annually), and include murder, criminal sexual assault, robbery, aggravated assault & battery, burglary, theft, motor vehicle theft, and arson. Non-index offenses are all other types of criminal incidents, including vandalism, weapons violations, public peace violations, etc.
The Prince George’s County Police Department (PGPD) provides the displayed data as a service to our community. The included data does not represent every call for service handled by PGPD. Information is provided regarding traffic accidents, assaults, burglaries, homicides, robberies, sex offenses, stolen vehicles, thefts and vandalisms where a report has been written. Included information for any of these events has been modified to remove specific address location. In order to provide victim confidentiality, address numbers have been rounded to closest hundred block and any mapped locations will show occurrence based on the street centerline. We hope you will find this information useful.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
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The data provided is for informational use only and may differ from official Austin Police Department crime data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
The Austin Police Department as of January 1, 2019, become a Uniform Crime Reporting -National Incident Based Reporting System (NIBRS) reporting agency. Crime is reported by persons, property and society.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj‐cccq
The following data shows the Part 1 Violent Crime and Property Crime.
Dataset highlighting crimes reported to the Albany Police Department for the past year to date geocoded by Neighborhood. It is the same data as Patrol Zone.
For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.
Information from Bloomington Police Department cases where a hate or bias crime has been reported.
Key code for Race:
A- Asian/Pacific Island, Non-Hispanic B- African American, Non-Hispanic C- Hawaiian/Other Pacific Island, Hispanic H- Hawaiian/Other Pacific Island, Non-Hispanic I- Indian/Alaskan Native, Non-Hispanic K- African American, Hispanic L- Caucasian, Hispanic N- Indian/Alaskan Native, Hispanic P- Asian/Pacific Island, Hispanic S- Asian, Non-Hispanic T- Asian, Hispanic U- Unknown W- Caucasian, Non-Hispanic
Key Code for Reading Districts:
Example: LB519
L for Law call or incident B stands for Bloomington 5 is the district or beat where incident occurred All numbers following represents a grid sector.
Disclaimer: The Bloomington Police Department takes great effort in making open data as accurate as possible, but there is no avoiding the introduction of errors in this process, which relies on data provided by many people and that cannot always be verified. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data, or for the use or interpretation of the results of any research conducted.
Number of personal violent and property crimes in Pierce County.
Only specific crimes are highlighted in the crime rates presented here. These numbers represent total numbers of reported crimes in each category (not arrests which may occur over a prolonged period).
The following categories represent the personal violent crimes considered in this data: Murder, Manslaughter, Forcible Sex, Assault, Kidnapping/Abduction, Human Trafficking, and Robbery.
The following categories represent the property crimes considered in this data: Burglary, Theft, Arson, and Destruction of Property.
Each set of crimes is totaled, then the rate per 1,000 people is calculated using the total # of crimes and the current population of each jurisdiction per year as provided in the same report.
This is a voluntary program and as such, some law enforcement agencies do not participate or have only recently participated, which is also reflected in this table.
Historical crime rates per 100,000 people, 1975 - present. In June 2017 we changed the update frequency of this dataset from annual to as-needed because sometimes there is a lag that is often 6 months after the annual date before the new data is available.
National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population. Offense Crimes Include: Violent crime (Murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault) & Property crime (Burglary, larceny-theft, and motor vehicle theft).
Under New York State’s Hate Crime Law (Penal Law Article 485), a person commits a hate crime when one of a specified set of offenses is committed targeting a victim because of a perception or belief about their race, color, national origin, ancestry, gender, religion, religious practice, age, disability, or sexual orientation, or when such an act is committed as a result of that type of perception or belief. These types of crimes can target an individual, a group of individuals, or public or private property. DCJS submits hate crime incident data to the FBI’s Uniform Crime Reporting (UCR) Program. Information collected includes number of victims, number of offenders, type of bias motivation, and type of victim.
In response to law enforcement’s need for more flexible, in-depth data, the Uniform Crime Reports (UCR) Program formulated the National Incident-Based Reporting System (NIBRS). NIBRS presents comprehensive, detailed information about crime incidents to law enforcement, researchers, governmental planners, students of crime, and the general public. A NIBRS fact sheet, written by the FBI can be found at http://www.fbi.gov/about-us/cjis/ucr/frequently-asked-questions/nibrs_faqs.
This data set contains Group A Offenses for the entire City. Please visit http://www.fbi.gov/about-us/cjis/ucr/nibrs to learn more about NIBRS. The "Data Collection Guidelines" outlines how this data is structured and provides the exact definitions and methodology behind this data set.
Violent Part 1 crime statistics by 1990 census tract.
This dataset contains crime reports from the City of Somerville Police Department's records management system from 2017 to present. Each data point represents an incident, which may involve multiple offenses (the most severe offense is provided here). Incidents deemed sensitive by enforcement agencies are included in the data set but are stripped of time or location information to protect the privacy of victims. For these incidents, only the year of the offense is provided.
This data set is refreshed daily with data appearing with a one-month delay (for example, crime reports from 1/1 will appear on 2/1). If a daily update does not refresh, please email data@somervillema.gov.
Violent crime rates for Everett, Snohomish County, Washington State, and the US as reported by the FBI's National Incident-Based Reporting System (NIBRS) program. The violent crime rate is defined as the number of reported violent crimes per 100,000 residents. Violent crime figures include the offenses of murder, rape, robbery, and aggravated assault. Note that County population figures come from the US Census Bureau's American Community Survey.
Annual crime rates as incidents per 100,000 residents. Includes violent and property index crimes for Fulton County over multiple years.
The dataset includes incident-based crime statistics at the provincial and police service level. Statistics include the number of incidents of offences and rates per 100,000 population for the following offences: Homicide, Attempted murder , Sexual assault (Levels 1, 2 and 3), Total sexual violations against children, Assault (Levels 1, 2 and 3), Total robbery, Total breaking and entering, Total theft of motor vehicle, Total impaired driving, Total drug violations, Possession (cannabis), Possession, (cocaine), Possession (other Controlled Drugs and Substances Act drugs), Cannabis (trafficking, production or distribution), Cocaine (trafficking, production or distribution), Other Controlled Drugs and Substances Act drugs (trafficking, production or distribution). Data source: Statistics Canada.
This dataset shows Maryland crime versus all other states. The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.
The data are provided are the Maryland Statistical Analysis Center (MSAC), within the Governor's Office of Crime Control and Prevention (GOCCP). MSAC, in turn, receives these data from the FBI's annual Uniform Crime Reports.
This is the most current information as of the date of upload. This provides the user the ability to view the most current crime information within Kansas City, Missouri. The displayed information is the most current information from the data source as of the date of upload. The data source is dynamic and therefore constantly changing. Changes to the information may occur, as incident information is refined. While the Board of Police Commissioners of Kansas City, Missouri (Board) makes every effort to maintain and distribute accurate information, no warranties and/or representations of any kind are made regarding information, data or services provided. The Board is not responsible for misinterpretation of this information and makes no inference or judgment as to the relative safety to any particular area or neighborhood. In no event shall the Board be liable in any way to the users of this data. Users of this data shall hold the Board harmless in all matters and accounts arising from the use and/or accuracy of this data.
Crime stats for the State of Colorado from 1997 to 2015. Data provided by the CDPS and the FBI's Crime Data Explorer (CDE).
A dataset of crimes that occurred in the designated time period that are being investigated as hate crimes. In APD's opinion these cases have met the FBI's definition of a hate crime, as well as the State's and Federal Law's definition of a hate crime. The ultimate decision to prosecute lies with the appropriate County District Attorney.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
- The data provided are for informational use only and may differ from official APD crime data.
- APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used.
- The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided. In APD's opinion these cases have met the FBI's definition as well as the State's definition and Federal hate crime law of a hate crime and are being investigated as such. The ultimate decision to prosecute lies with the appropriate County District Attorney.
Crime incidents and offenses reported by the Richmond Police Department. *Note: Each report only counts the top crime offense, so it may differ from NIBRS/DOJ count and published Crime-Stat reports on the RPD website (for example, if 1 incident report had multiple offenses occur, only the first/top offense is counted in this).
Polygon geometry with attributes displaying crime prevention districts in East Baton Rouge Parish, Louisiana.
Due to technical issues the Active Calls dataset may experience intermittent delays in automated data refreshing. Staff is actively monitoring the situation.
The calls listed here are only those where the element assigned to the call has arrived and is currently working the call. It does not include any calls for service, whether currently being worked or not, that are not releasable due to privacy laws.
Number of under-custody offenders by facility by crime grouping
The “Crime Rate” is the number of Part I Index Crimes per 100,000 population. The crime rate for Janesville increased 11.5% in 2017 from the previous year. The following chart shows the crime rate for the City of Janesville for a ten year period and the average crime rate during the same period.
Combination of crime incident reports from the East Baton Rouge Parish Sheriff's Office and the Baton Rouge Police Department, beginning January 1, 2021. Includes records for all crimes such as burglaries (vehicle, residential and non-residential), robberies (individual and business), auto theft, homicides and other crimes against people, property and society.
For only East Baton Rouge Parish Sheriff's Office crime incidents: https://data.brla.gov/Public-Safety/EBR-Sheriff-s-Office-Crime-Incidents/7y8j-nrht
For only Baton Rouge Police Department crime incidents: https://data.brla.gov/Public-Safety/Baton-Rouge-Police-Crime-Incidents/pbin-pcm7
The dataset consists of reported crime incidents in the City of Atlanta for the years 2016 and 2017. The data are made publically available by the City of Atlanta Police Department. Some data fields in the original data have been removed because they were more applicable to internal use than public use. The fields Crime Category and Crime Class were added. The values in those two fields represent two levels of grouping of the Crime Type.
This dataset shows the total number of violent crimes by county and statewide, for CY2006 versus CY2013. Data are provided by the Maryland Statistical Analysis Center (MSAC) within the Governor's Office of Crime Control and Prevention (GOCCP).
This dataset reports National Incident Based Reporting System (NIBRS) crime statistics from most Washington law enforcement agencies since 2016. The data is a "shapshot" of crime statistics as they were originally reported to the Washington Association of Sheriffs and Police Chiefs (WASPC) and the FBI. Data displayed should not be compared to statistics reported by the FBI as those statistics have been converted to the Summary Reporting System (SRS).
Represents Initial interview decisions made by the NYS Board of Parole by crime type and month and calendar year.
This 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 RDAnalysis@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 are updated daily. 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
Serious crime totals that are reported by each jurisdiction that are listed as "Group A" crimes by the Federal Bureau of Investigation. These totals are used in the Crime in Delaware report provided by the Statistical Analysis Center
The dataset includes incident-based crime statistics at the provincial and police service level . Statistics include the number of incidents of offences and rates per 100,000 population for Criminal Code violations (excluding traffic), violent Criminal Code violations, property crime violations, and other Criminal Code violations. Data source: Statistics Canada.
This dataset tracks the cumulative statewide reductions in violent crime since 2006. Data are reported each year by MSAC, the Maryland Statistical Analysis Center, within GOCCP, the Governor's Office of Crime Control and Prevention.
The “Crime Rate” is the number of Part I Index Crimes per 100,000 population. The crime rate for Janesville decreased 12% in 2019 from the previous year. The following chart shows the crime rate for the City of Janesville for a ten year period and the average crime rate during the same period.
This data set contains violent crime and property crime for Utah from 1960-2012 as reported to the FBI from Uniform Crime Reporting (UCR) data.
Part 1 Crime includes the following offenses:
Homicide, Sex Offenses Forcible, Robbery, Aggravated Assault, Vehicle Burglary, Business Burglary, Conveyance Burglary, Hotel/Motel Burglary,Residential Burglary School Burglary, Larceny (All), Vehicle Theft, Arson
Counts of Part I committed in San Mateo County from 1985 on. This dataset also includes Part II crimes from 2013 on.
Part I crimes include: homicide, rape, robbery, aggravated assault, burglary, motor vehicle theft, larceny-theft, and arson. These counts include crimes committed at San Francisco International Airport (SFO), Unincorporated San Mateo County, Woodside, Portola Valley, San Carlos from 10/31/10 forward; Half Moon Bay from 6/12/11 forward; and Millbrae from 3/4/12 forward.
Part II crimes do not include San Francisco International Airport (SFO) cases and is an estimate only. An estimate is required because there are no specific data types used when keying in Type II crime types. Therefore, Records Manager judgment is used.
Crime events for FY 2017 reported in the Federally mandated UCR schema.
2017 - 2018 Schools NYPD Crime Data Report
Annual number of incidents and rate (incidents per 100,000 residents) of violent and property crimes for Fulton County and national benchmark counties for years beginning in 2010.
Criminal offenses summarized by type of crime for police districts in Colorado for 2001 to 2016. Provided by the Colorado Department of Public Safety (CDPS).
Criminal arrests summarized by type of crime for police districts in Colorado from 2001 to 2016 from the Colorado Department of Public Safety (CDPS).
Part II Crimes per 100,000 by county
Dataset showing reported crime counts and rates by offense category for Anoka, Carver, Dakota, Hennepin, Ramsey, Scott, and Washington counties. Crime rates are calculated using Census estimates of each county's resident population.
Dataset showing reported crime by county by general offense type. Crime rates are calculated using Census population estimates.
Data Description: This data represents reported Crime incidents separated by offense 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 Records from before 6/3/2024 visit this link: https://data.cincinnati-oh.gov/safety/PDI-Police-Data-Initiative-Crime-Incidents/k59e-2pvf/about_data All records will be consolidated to this location by 3/10/2025 with additional detail on Part 2 crimes.
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.
[ARCHIVED] Community Counts data is retained for archival purposes only, such as research, reference and record-keeping. This data has not been maintained or updated. Users looking for the latest information should refer to Statistics Canada’s Census Program (https://www12.statcan.gc.ca/census-recensement/index-eng.cfm?MM=1) for the latest data, including detailed results about Nova Scotia.
This table reports youth criminal activity. Geographies available: police districts
This dataset shows the dollar values of property involved in reported crimes by status as reported by the City of Clarkston Police Depart to NIBRS (National Incident-Based Reporting System), Group A.
tabulation of crimes by type for each 1980 census block
This dataset contains a listing of crime incidents reported by the Atlanta Police Department (APD) since 2009. It is based on incident-level data compiled from files released publicly by the ATP at https://www.atlantapd.org/i-want-to/crime-data-downloads. The data include the date the incident was reported and the date the incident occurred, the type of crime (based on the Uniform Crime Reporting classification), the nearest address and the latitude and longitude of the incident.
Reported crimes against persons and crimes against property based on National Incident Based Reporting System (NIBRS). Data reflects crime statistics reported to the Nevada Department of Public Safety on a monthly basis. Data is preliminary and subject to change without notice based on case updates.
The City of Henderson Police Department became NIBRS certified in 2020 before the January 1, 2021 deadline mandated by the FBI who compiles and publishes the Uniform Crime Report. The FBI requires all law enforcement agencies reporting crime statistics to utilize NIBRS standards and methodology instead of the previous Summary Reporting System (SRS) which was used by the City of Henderson from 1953 to 2020.
Dataset showing annual counts, rates and clearance information of reported crime by offense type are categorized by the reporting law enforcement agency.
The Bureau of Criminal Apprehension calculates the crime rates using local estimates of each jurisdiction's resident population.
These population estimates differ from census estimates and result in crime rates different than those reported in the county dataset.
All BPD data on Open Baltimore is preliminary data and subject to change. The information presented through Open Baltimore represents Part I victim based crime data. The data do not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.
Adults arrested or issued citations by the Providence Police Department during the past 60 days. Arrests are custodial actions where an individual is detained and transported to the City of Providence Public Safety Complex. Citations are non-custodial actions issued at the scene of a violation. Once issued a citation, an individual is allowed to leave unless there are additional charges that require being taken into custody.
This data set lists all state and municipal statute violations issued by the Providence Police. A single individual can be charged with multiple violations for a single incident. Multiple persons can also be charged in a single incident. The case number provided in the data set can be used to identify the incident and to look up the case information in the Providence Police Department - Case Log.
Historical crime totals by type, 1975 - present. In June 2017 we changed the update frequency to as-needed because there is often a lag in getting this data updated because of the nature of the data from its source.
Dataset highlighting crimes reported to the Albany Police Department for the past year to date geocoded by Patrol Zone. It is the same data as Neighborhood
For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.
These data are for the the FBI Uniform Crime Reporting (UCR) index. The crime index includes Willful Homicide, Rape, Robbery, Aggravated Assault, Burglary, Larceny (Theft), Motor Vehicle Theft, and Arson (definitions are in each column header).
State-wide crime information can be found at the Colorado Bureau of Investigation (https://www.colorado.gov/cbi).
NYPD Crime stats for the week of November 18-24, 2013.
Crime statistics published by the NYPD for the week of September 16-23, 2013.
Citywide crime statistics for the week of September 16-23, 2013
This data set contains police/crime data for the city of Sunset Utah.
Rate of Violent Crime per 100,000 individuals, which includes the offenses of murder and nonnegligent manslaughter, rape (revised definition), robbery, and aggravated assault. Gathered through the National Incident Based Reporting System (NIBRS), Uniform Crime Reporting (UCR) program managed by the Federal Bureau of Investigation. Data is submitted by individual law enforcement agencies to the Department of Public Safety and forwarded for inclusion.
National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population. These figures are based on end of calendar year populations.
This dataset shows the types and numbers of weapons used in crimes reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System), Group A.
Violent and property crime rates per 100,000 population for San Mateo County and the State of California. The total crimes used to calculate the rates for San Mateo County include data from: Sheriff's Department Unincorporated, Atherton, Belmont, Brisbane, Broadmoor, Burlingame, Colma, Daly City, East Palo Alto, Foster City, Half Moon Bay, Hillsborough, Menlo Park, Millbrae, Pacifica, Redwood City, San Bruno, San Carlos, San Mateo, South San Francisco, Bay Area DPR, BART, Union Pacific Railroad, and CA Highway Patrol.
This data set contains Police & Crime data for South Salt Lake.
Summary Reporting System (SRS) and the National Incident-Based Reporting System (NIBRS) are part of the FBI's Uniform Crime Reporting system. SRS and NIBRS collect data on crime incidents that are reported by law enforcement agencies across the country. Because SRS and NIBRS data are collected differently, they cannot be compared.
SRS has been used since the 1930s to collect national crime data. Washington SRS data is available from 1994 to 2018. Data will no longer be produced from the SRS as of 2018.
Citywide crime statistics for the week of September 9-15, 2013
This data set contains South Jordan Police calls for service and crime data from 2014-2018
Sheriff’s incident reports are generated after either of two events 1) a citizen has reported an event/crime and a deputy has substantiated that a report is necessary or 2) a deputy has witnessed an event/crime in progress. These incident reports represent a wide spectrum of law enforcement activity from informational reports to serious crime reports. For more information about this dataset please go to the About button and click on the Attachment.
This dataset contains an annual count of crime incidents reported by the Atlanta Police Department (APD). It is based on incident-level data compiled from files released publicly by the ATP at https://www.atlantapd.org/i-want-to/crime-data-downloads. The numbers in this dataset may vary from other published statistics because the numbers here represent crime incidents and data from other sources often represent crime victims.
Total border crime arrests offenses reported in border and non-border counties for counties with the 20 highest numbers of reported arrests. The counties listed represent more than 95% of the reported activity.
Each record in this dataset shows information about an arrest executed by the Chicago Police Department (CPD). Source data comes from the CPD Automated Arrest application. This electronic application is part of the CPD CLEAR (Citizen Law Enforcement Analysis and Reporting) system, and is used to process arrests Department-wide.
A more-detailed version of this dataset is available to media by request. To make a request, please email dataportal@cityofchicago.org with the subject line: Arrests Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup. New data fields may be added to this public dataset in the future. Requests for individual arrest reports or any other related data other than access to the more-detailed dataset should be directed to CPD, through contact information on that site or a Freedom of Information Act (FOIA) request.
The data is limited to adult arrests, defined as any arrest where the arrestee was 18 years of age or older on the date of arrest. The data excludes arrest records expunged by CPD pursuant to the Illinois Criminal Identification Act (20 ILCS 2630/5.2).
Department members use charges that appear in Illinois Compiled Statutes or Municipal Code of Chicago. Arrestees may be charged with multiple offenses from these sources. Each record in the dataset includes up to four charges, ordered by severity and with CHARGE1 as the most severe charge. Severity is defined based on charge class and charge type, criteria that are routinely used by Illinois court systems to determine penalties for conviction. In case of a tie, charges are presented in the order that the arresting officer listed the charges on the arrest report. By policy, Department members are provided general instructions to emphasize seriousness of the offense when ordering charges on an arrest report.
| Each record has an additional set of columns where a charge characteristic (statute, description, type, or class) for all four charges, or fewer if there were not four charges, is concatenated with the | character. These columns can be used with the Filter function's "Contains" operator to find all records where a value appears, without having to search four separate columns. |
Users interested in learning more about CPD arrest processes can review current directives, using the CPD Automated Directives system (http://directives.chicagopolice.org/directives/). Relevant directives include:
• Special Order S06-01-11 – CLEAR Automated Arrest System: describes the application used by Department members to enter arrest data. • Special Order S06-01-04 – Arrestee Identification Process: describes processes related to obtaining and using CB numbers. • Special Order S09-03-04 – Assignment and Processing of Records Division Numbers: describes processes related to obtaining and using RD numbers. • Special Order 06-01 – Processing Persons Under Department Control: describes required tasks associated with arrestee processing, include the requirement that Department members order charges based on severity.
All crime data on openAlbany is preliminary data and subject to change. The information presented through openAlbany represents Part I victim based crime data. The data does not represent statistics submitted to the FBI's Uniform Crime Report (UCR); therefore any comparisons are strictly prohibited. For further clarification of UCR data, please visit http://www.fbi.gov/about-us/cjis/ucr/ucr. Please note that this data is preliminary and subject to change. Prior month data is likely to show changes when it is refreshed on a monthly basis. All data is geocoded to the approximate latitude/longitude location of the incident and excludes those records for which an address could not be geocoded. Any attempt to match the approximate location of the incident to an exact address is strictly prohibited.
This dataset contains on street crimes provided by the Police via their API (https://data.police.uk/docs/). The data is clipped to the London Borough of Camden boundary, and can contain up to fifteen types of street crime including bicycle theft, shoplifting and criminal damage. The London Borough of Camden does not maintain the content of this dataset.
This dataset is published by the City of Dallas for research purposes only. The authoritative source for crime data is the Crime Analytics Dashboard.
This dataset represents the Dallas Police Public Data - RMS Incidents beginning June 1, 2014 to current-date. The Dallas Police Department strives to collect and disseminate police report information in a timely, accurate manner. This information reflects crimes as reported to the Dallas Police Department as of the current date. Crime classifications are based upon preliminary information supplied to the Dallas Police Department by the reporting parties and the preliminary classifications may be changed at a later date based upon additional investigation. Therefore, the Dallas Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information contained herein and the information should not be used for comparison purposes over time. The Dallas 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.
This online site is an attempt to make it easier for citizens to access offense reports. In disseminating this crime information, we must also comply with current laws that regulate the release of potentially sensitive and confidential information. To ensure that privacy concerns are protected and legal standards are met, report data is "filtered" prior to being made available to the public. Among the exclusions are:
1.) Sexually oriented offenses 2.) Offenses where juveniles or children (individuals under 17 years of age) are the victim or suspect 3.) Listing of property items that are considered evidence 4.) Social Service Referral offenses 5.) Identifying vehicle information in certain offenses
The data set is a compilation of crime data reported by local law enforcement agencies throughout the state. The data is reported under the guidelines of the Uniform Crime Reporting (UCR) program, a national program which uses generic crime definitions to ensure that crime data is comparable across political boundaries. BCI forwards data collected from Utah law enforcement agencies to the FBI, who in turn combines it with data from other states to compile and publish an annual report called Crime in the United States.
A summary of the property crime rates for Fulton County and ten national benchmark counties including the annual highest, lowest and median property crime rate (crimes per 100,000 residents).
List of every arrest in NYC going back to 2006 through the end of the previous calendar year. This is a breakdown of every arrest effected in NYC by the NYPD going back to 2006 through the end of the previous calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.
List of every shooting incident that occurred in NYC going back to 2006 through the end of the previous calendar year.
This is a breakdown of every shooting incident that occurred in NYC going back to 2006 through the end of the previous calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents a shooting incident in NYC and includes information about the event, the location and time of occurrence. In addition, information related to suspect and victim demographics is also included. This data can be used by the public to explore the nature of shooting/criminal activity. Please refer to the attached data footnotes for additional information about this dataset.
Incidents based on initial police reports taken by officers when responding to calls for service. Data is modified for public use. Address and Location are not exact locations of incidents and have been rounded to nearest hundred block. Lat/Long are approximations only based on rounded hundred block. Incidents reported in this dataset may not correlate with 911 Events datasets and calls for Police service.
The City of Mesa does not disclose information that is inflammatory in nature that impacts our citizens. Crimes reported in this data set have not been adjudicated in a court of law for final determination.
Although sensitive crimes are included, the approximate address are NOT included. Therefore aggregate totals of crimes are accurate, without providing sensitive information. Addresses are not included for: sexual abuse, sexual assault, suicide, incest, molestation of a child or homicide.
Similar information is also provided through the Communitycrimemap.com website, a 3rd party service that visually reviews crime data for Mesa and outlining areas.
Some of the data fields provided are used to report to the Federal Bureau of Investigation. For a listing of data fields and description please see their UCR Program Data Collections page. Alternatively, please see the Bureau of Justice Statistics NIBRS website for a listing of data fields.
Murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault. National or state offense totals are based on data from all reporting agencies and estimates for unreported areas. Rates are the number of reported offenses per 100,000 population. These figures are based on end of calendar year populations.
The dataset includes incident-based crime statistics at the provincial level. Statistics included in the dataset are the number of youth charged or not charged, and rates per 100,000 youth population for total Criminal Code violations (excluding traffic), total violent Criminal Code violations, total property crime violations, and total other Criminal Code violations. Data source: Statistics Canada.
Santaquin City Police Department crime and police data.
This data set contains police & crime data for Park City, Utah.
Recorded state and municipal offenses from AEGIS records management system of the Providence Police. A single case can contain multiple offenses. Refer to the case number to see all offenses for a particular case. The case number can also be used to look up arrest activity for a case in the Providence Police Arrest Log.
UPDATE:
Incident location is now using block range instead of house numbers. Addresses between 1 and 99 will be 0 Block, addresses between 100 and 199 will use 100 block and so on. If you are looking for actual addresses you can use the city's Open Records Portal to make a request.
To help maintain the anonymity of special victims and juveniles this list does not include violent sexual offenses, non-violent sexual offenses or incidents of harassment. Cases being investigated by the department's Special Victims Unit (SVU) or Youth Services Bureau (YSB) will not be published.
Total number of service calls per 1,000 residents and the average response times for priority calls.
This dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) from 2006 to the end of last year (2019). For additional details, please see the attached data dictionary in the ‘About’ section.
This dataset contains on street crimes provided by the Police via their API (https://data.police.uk/docs/). The data is clipped to the London Borough of Camden boundary, and can contain up to fifteen types of street crime including bicycle theft, shoplifting and criminal damage. The London Borough of Camden does not maintain the content of this dataset.
Beaver County Police Department police & crime data.
This dataset provides data on the level of perceived safety from crime when home at night reported by Nova Scotians and is based on a question included in the Atlantic Quarterly survey administered by Corporate Research Associates (CRA).
This data set contains Police & Crime data from the South Jordan Police department.
Burglary Arrests 2012 Crime Salt Lake City
This dataset contains individual-level homicide and non-fatal shooting victimizations, including homicide data from 1991 to the present, and non-fatal shooting data from 2010 to the present (2010 is the earliest available year for shooting data). This dataset includes a "GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized-access dataset, but with "UNKNOWN" in the shooting column.
Each row represents a single victimization, i.e., a unique event when an individual became the victim of a homicide or non-fatal shooting. Each row does not represent a unique victim—if someone is victimized multiple times there will be multiple rows for each of those distinct events.
The dataset is refreshed daily, but excludes the most recent complete day to allow the Chicago Police Department (CPD) time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.
A version of this dataset with additional crime types is available by request. To make a request, please email dataportal@cityofchicago.org with the subject line: Violence Reduction Victims Access Request. Access will require an account on this site, which you may create at https://data.cityofchicago.org/signup.
How does this dataset classify victims?
The methodology by which this dataset classifies victims of violent crime differs by victimization type:
Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.
To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset. For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Victims dataset do not align with the homicide/non-fatal shooting categorization:
- In instances where a homicide victimization does not correspond to an IUCR code 0110 or 0130, we set the IUCR code to "01XX" to indicate that the victimization was a homicide but we do not know whether it was a fi
This is a breakdown of every arrest effected in NYC by the NYPD during the current year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning. Each record represents an arrest effected in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.
PYDI Indicator - SPM Crime Detail Data
Property crime data with properly formatted dates/
This 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 (2019). For additional details, please see the attached data dictionary in the ‘About’ section.
Saratoga Springs Police Incident_Crime Data
Number and type of violent crimes committed in San Mateo County in 2009.
Incident-based crime statistics, New Brunswick / Statistiques des crimes fondés sur l'affaire, Nouveau-Brunswick
A summary of benchmark county violent crime rates including annual lowest, highest and median rates among the benchmark counties. Annual Fulton County rates are included for comparison,
<div style="text-align:Left; font-size:12pt;"><div><div><div><p><span>This data shows approximate location of select offenses within unincorporated Pierce County, and the cities of Bonney Lake, Eatonville, Edgewood, Gig Harbor, Puyallup, South Prairie, and University Place. The data is for the previous 12 months and is updated monthly. Please see full metadata (</span><a href="https://matterhorn.piercecountywa.gov/GISmetadata/pdbsd_crime_data.html" target="_blank">https://matterhorn.piercecountywa.gov/GISmetadata/pdbsd_crime_data.html</a><span>) for additional information. Any use or data download constitutes acceptance of the Terms of Use (</span><a href="https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf" target="_blank">https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf</a><span>). </span></p></div></div></div></div>
List of every shooting incident that occurred in NYC during the current calendar year.
This is a breakdown of every shooting incident that occurred in NYC during the current calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents a shooting incident in NYC and includes information about the event, the location and time of occurrence. In addition, information related to suspect and victim demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.
This dataset contains basic information of all UCR/NIBRS offenses reported by the Prince George's County Police Department and participating municipal police agencies within Prince George's County. This dataset contains data from the previous 24 months.
Crime stats as compared to 12, 15, 20, and 23 years ago, Citywide
This data set contains police & crime data for Roy City from 2010-2018.
The program described below ended in 2019. This dataset is being retained for historical reference.
The information displayed represents a de-identified listing of arrest data from August 1, 2012 to July 31, 2016, that was used by the Chicago Police Department’s Strategic Subject Algorithm, created by the Illinois Institute of Technology and funded through a Department of Justice Bureau of Justice Assistance grant, to create a risk assessment score known as the Strategic Subject List or “SSL.” These scores reflect an individual’s probability of being involved in a shooting incident either as a victim or an offender. Scores are calculated and placed on a scale ranging from 0 (extremely low risk) to 500 (extremely high risk).
Based on this time frame’s version of the Strategic Subject Algorithm, individuals with criminal records are ranked using eight attributes, not including race or sex. These attributes are: number of times being the victim of a shooting incident, age during the latest arrest, number of times being the victim of aggravated battery or assault, number of prior arrests for violent offenses, gang affiliation, number of prior narcotic arrests, trend in recent criminal activity and number of prior unlawful use of weapon arrests.
Please note that this data set includes fields that are not used to calculate SSL, for example, neither race nor sex are used in the Strategic Subject Algorithm. Portions of the arrest data are de-identified on the basis of privacy concerns. The attributes used in the Strategic Subject Algorithm were revised on an ongoing basis during the lifetime of the program.
Data Description: This dataset captures all Cincinnati Police Department Calls for Service. The City of Cincinnati's Computer Aided Dispatch (CAD) system records police incident response activity, which includes all calls for service to emergency operators, 911, alarms, police radio and non-emergency calls. CAD records all dispatch information, which is used by dispatchers, field supervisors, and on-scene officers to determine the priority, severity, and response needs surrounding the incident. Once an officer responds to a call, he/she updates the disposition to reflect findings on-scene. This dataset includes both proactive and reactive police incident data.
Data Creation: This data is created through the City’s computer-aided dispatch (CAD) system.
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/xw7t-5phj
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.
Dallas Police Public Data - Officer Involved Shootings City Of Dallas
The Naloxone for First Responders dataset is based on data obtained from individual Centralize Coordinating Entities (CCEs) who have provided data to PCCD on a quarterly basis. CCE's provide naloxone to eligible first responders in their local community. The data includes the number of kits of naloxone that were provided by CCEs to first responders in each county, the types of first responders who received those kits, the number of doses used by first responders in that county, and the number of overdose reversals in that county.
Payson City Police Department Crime_Incident data
Description: Pursuant to the Sex Offender and Child Murderer Community Notification Law, 730 ILCS 152/101,et seq., the Chicago Police Department maintains a list of sex offenders residing in the City of Chicago who are required to register under the Sex Offender Registration Act, 730 ILCS 150/2, et seq. To protect the privacy of the individuals, addresses are shown at the block level only and specific locations are not identified. The data are extracted from the CLEAR (Citizen Law Enforcement Analysis and Reporting) system developed by the Department. Although every effort is made to keep this list accurate and current, the city cannot guarantee the accuracy of this information. Offenders may have moved and failed to notify the Chicago Police Department as required by law. If any information presented in this web site is known to be outdated, please contact the Chicago Police Department at srwbmstr@chicagopolice.org, or mail to Sex Registration Unit, 3510 S Michigan Ave, Chicago, IL 60653. Disclaimer: This registry is based upon the legislature's decision to facilitate access to publicly available information about persons convicted of specific sexual offenses. The Chicago Police Department has not considered or assessed the specific risk of re-offense with regard to any individual prior to his or her inclusion within this registry, and has made no determination that any individual included within the registry is currently dangerous. Individuals included within this registry are included solely by virtue of their conviction record and Illinois law. The main purpose of providing this data on the internet is to make the information more available and accessible, not to warn about any specific individual.
Anyone who uses information contained in the Sex Offender Database to commit a criminal act against another person is subject to criminal prosecution. Data Owner: Chicago Police Department. Frequency: Data is updated daily. Related Applications: CLEARMAP (http://j.mp/lLluSa).
Each row of data represents an arrest or citation. Arrest charges are grouped together in the charge description column. Charge details are delimited by semicolons and charges are delimited by line breaks with multiple hyphens. Location information has been generalized to the nearest intersection.
Summary Reporting System (SRS) and the National Incident-Based Reporting System (NIBRS) are part of the FBI's Uniform Crime Reporting system. SRS and NIBRS collect data on crime incidents that are reported by law enforcement agencies across the country. Because SRS and NIBRS data are collected differently, they cannot be compared.
NIBRS was created in the 1980s to collect more detailed information on crime. Washington NIBRS data begins in 2012.
The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.
Crime statistics published by the NYPD for the week of September 2-8, 2013.
Utah Valley University police & crime data.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2013. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
Santaquin City Police Department Crime_Incident Data
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
Update 4/30/2024: We are currently transitioning to a new dataset for MPD Incident data a this dataset is no longer being updated. Please view the new dataset here: https://data.memphistn.gov/Public-Safety/Memphis-Police-Department-Public-Safety-Incidents/puh4-eea4/about_data
This dataset contains all crime incidents where a police report was taken. Data goes back to 2006 and is updated on a daily basis.
Terms of Use: The information in this portal is provided strictly as a courtesy to the public. This website provides information as to initial crime reports, and does not reflect subsequent changes in the investigation, nature, or accuracy of the initial report. While all attempts are made to ensure the correctness and suitability of information presented here, neither the City of Memphis nor the Memphis Police Department guarantee the accuracy of the information contained herein. Crime data may be amended or corrected by the Memphis Police Department at any time. This data may not reflect the official crime index totals as reported to the Tennessee Bureau of Investigation.
Number of San Mateo Property Crimes by type and number for 2009.
This dataset contains KCPD crime reports for all years since 2015. This data is then cleaned to remove duplicate reports (Report_No) while maintaining pertinent information of those involved (suspects, victims, arrestees, and deceased). Additional context regarding the nature of the crime being reported is also added.
Columns in which DataKC has not been provided a clear definition on their meanings has been omitted from the original source. Once clarity can be provided on these columns, they will be added back in. Data is updated at the end of each year.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2022. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2014. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset provides geographically filtered data from LASD: https://lasd.org/transparency/part1and2crimedata/
The information has not been altered in any way.
Incident Date = Date the crime incident occurred Incident Reported Date = Date the crime was reported to LASD Category = Incident crime category Stat = A three digit numerical coding system to identify the primary crime category for an incident Stat Desc = The definition of the statistical code number Address (last two digits of # rounded to 00) = The street number, street name, state and zip where the incident occurred Street (last two digits of # rounded to 00) = The street number and street name where the incident occurred City = The city where the incident occurred Zip = The zip code of the location where the incident occurred Incident ID = The URN #, or Uniform Report Number, is a unique # assigned to every criminal and noncriminal incident Reporting District = A geographical area defined by LASD which is within a city or unincorporated area where the incident occurred Seq = Each incident for each station is issued a unique sequence # within a given year Gang Related = Indicates if the crime incident was gang related (column added 08/02/2012) Unit ID = ORI # is a number issued by the FBI for every law enforcement agency Unit Name = Station Name Longitude (truncated to 3 decimals, equivalent to half-block rounding) (column added 01/04/2021) Latitude (truncated to 3 decimals, equivalent to half-block rounding) (column added 01/04/2021) Part Category = Part I Crime or Part II Crime indicator (replaced DELETED column 01/04/2021)
This data set contains Orem City Police Crime_Incident Data.
Important Note: Updates to this dataset are currently suspended for the time being. If you need more information and are accessing this metadata from the Open Data Portal, PublicGIS, or any other external Pierce County website, please contact us using the "Contact Us" on the bottom of the main page. If you need more information and are accessing this metadata using internal Pierce County software (ex. CountyView, etc.), please Trisha James.This data shows approximate location of select offenses (Arson, Aggravated Assault, Simple Assault, Residential Burglary, Non-Residential Burglary, Criminal Traffic, Drug Possession, Drug Sale/Manufacture, Fraud, Forgery, Homicide, Intimidation, Liquor Law Violations, Motor Vehicle Theft, Possession of Stolen Property, Robbery, Telephone Harassment, Gas Station Runouts, Mail Theft, Vehicle Theft, Other Theft, Shoplifting, Trafficking in Stolen Property, Vandalism, Warrant Arrests) within Unincorporated Pierce County, and the cities of Bonney Lake, Eatonville, Edgewood, Gig Harbor, Puyallup, South Prairie, and University Place.
Represents incarcerated individuals under custody in NYS Department of Corrections and Community Supervision as of March 31 of the snapshot year. Includes data about admission type, county, gender, age, race/ethnicity, crime, and facility.
List of every criminal summons issued in NYC going back to 2006 through the end of the previous calendar year.
This is a breakdown of every criminal summons issued in NYC by the NYPD going back to 2006 through the end of the previous calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents a criminal summons issued in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.
A full dataset of CrimeWatch data.
The Oakland Police Department provides crime data to the public through the City of Oakland's Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.
The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.
Please note: This Crime data are captured from reports filed with the police Department. There may be delays in data due to data processing, incident reporting or maybe technical in nature. Please allow up to 90 days from the end of each month for the data to be completely processed. For example, if you want to retrieve the full data set for the month of March, you will need to generate your report on or after June 30th. (A full 90 days after March 31st)
<div style="text-align:Left; font-size:12pt;"><div><div><div><p><span>This data shows approximate location of select offenses within unincorporated Pierce County, and the cities of Bonney Lake, Eatonville, Edgewood, Gig Harbor, Puyallup, South Prairie, and University Place. The data is for the previous 12 months and is updated monthly. Please see full metadata (</span><a href="https://matterhorn.piercecountywa.gov/GISmetadata/pdbsd_crime_data.html" target="_blank">https://matterhorn.piercecountywa.gov/GISmetadata/pdbsd_crime_data.html</a><span>) for additional information. Any use or data download constitutes acceptance of the Terms of Use (</span><a href="https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf" target="_blank">https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf</a><span>). </span></p></div></div></div></div>
Drug Arrests 2012 Crime Data Salt Lake City
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2015. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2021. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2012. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
Calls for service (not criminal reports) within last 180 days
Provides data about releasees under community supervision on March 31 of the snapshot year. Information includes region of supervision, county of residence, snapshot year, supervision level, gender, age, and race/ethnicity as of the file date, and crime type for most serious instant offense.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2011. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset is published by the City of Dallas for research purposes only. The authoritative source for crime data is the Crime Analytics Dashboard.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2017. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
List of every criminal summons issued in NYC during the current calendar year.
This is a breakdown of every criminal summons issued in NYC by the NYPD during the current calendar year. This data is manually extracted every quarter and reviewed by the Office of Management Analysis and Planning before being posted on the NYPD website. Each record represents a criminal summons issued in NYC by the NYPD and includes information about the type of crime, the location and time of enforcement. In addition, information related to suspect demographics is also included. This data can be used by the public to explore the nature of police enforcement activity. Please refer to the attached data footnotes for additional information about this dataset.
Dataset highlighting arrests by Albany PD Officers for the past year to date GeoCoded by Neighborhood. It is the same data as Arrests by Patrol Zone
For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.
The Delaware Department of Correction (DOC) operates four prison facilities (Level V), eight quasi-incarceration community corrections facilities that serve as violation of probation centers or work release centers (Level IV), and five Probation & Parole locations (Levels III, II, and I). Offenders may also be supervised while on home confinement, or the offender may be supervised on an administrative basis only while restitution is paid. Some offenders are physically housed at the Delaware Psychiatric Center while in the custody of the DOC. This dataset provides a snapshot of the offender population in custody or under supervision at these various locations on the last day of each calendar month. A count of how many offenders by the year, month (snapshot of last day of month), county, type of institution, institution name, sentence type, gender, race, and ethnicity can be produced by selecting the desired variable in each category. Questions about offender data can be directed to the DOC’s Planning & Research Unit. Instructions for submitting a data request can be found here: http://www.doc.delaware.gov/datarequests.shtml. The DOC’s annual reports (http://www.doc.delaware.gov/annualReport.shtml) also contain a variety of information and data.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2019. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
Iron County Sheriff's Office police & crime data.
The King County Sheriff’s Office (KCSO) is providing offense report data captured in it's Records Management System (RMS) from 2020 to present. KCSO replaced its RMS in late 2018 and at the same time transitioned to the FBI’s National Incident-Based Reporting System (NIBRS). The NIBRS standardization of crime classifications allows for comparison over time and between agencies. For official KCSO NIBRS reporting, please visit the WASPC Crime in Washington Report: https://www.waspc.org/cjis-statistics—reports.
Disclaimer: Only finalized (supervisor approved) reports are released. Those in draft, awaiting supervisor approval, or completed after the daily update of data, will not appear until the subsequent day(s). Data updates once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process, thus reports might appear in the data set one day, but be removed the next day if there is a change in the approval status. This mirrors the fluidity of an investigation. Once a report is re-approved, it will show back up in the data set. Other than approval status, the report case status is factored into what can be released in the daily data set. As soon as a report case status matches the criteria for release, it will be included in the data set. For a list of offenses that are included in the data set, please see the attached pdf.
Resources:
- KCSO's 2019 crime data: https://data.kingcounty.gov/Law-Enforcement-Safety/King-County-Sheriff-s-Office-Incident-Dataset/rzfs-wyvy
- Police District GIS shapefile: https://gis-kingcounty.opendata.arcgis.com/datasets/king-county-sheriff-patrol-districts-patrol-districts-area/explore
- Police District key: https://data.kingcounty.gov/Law-Enforcement-Safety/KCSO-Patrol-Districts/ptrt-hdax/data
- For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs
- SPD's Crime Data: https://data.seattle.gov/Public-Safety/SPD-Crime-Data-2008-Present/tazs-3rd5
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2016. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
Important Note: Updates to this dataset are currently suspended for the time being. If you need more information and are accessing this metadata from the Open Data Portal, PublicGIS, or any other external Pierce County website, please contact us using the "Contact Us" on the bottom of the main page. If you need more information and are accessing this metadata using internal Pierce County software (ex. CountyView, etc.), please Trisha James.This data shows approximate location of select offenses (Arson, Aggravated Assault, Simple Assault, Residential Burglary, Non-Residential Burglary, Criminal Traffic, Drug Possession, Drug Sale/Manufacture, Fraud, Forgery, Homicide, Intimidation, Liquor Law Violations, Motor Vehicle Theft, Possession of Stolen Property, Robbery, Telephone Harassment, Gas Station Runouts, Mail Theft, Vehicle Theft, Other Theft, Shoplifting, Trafficking in Stolen Property, Vandalism, Warrant Arrests) within Unincorporated Pierce County, and the cities of Bonney Lake, Eatonville, Edgewood, Gig Harbor, Puyallup, South Prairie, and University Place.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
Dallas Police Public Data - RMS Incidents-With GeoLocation
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2020. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
This dataset provides data on the level of perceived safety from crime felt by Nova Scotians walking alone in their area at night and is based on a question included in the Atlantic Quarterly survey administered by Corporate Research Associates (CRA)
The Oakland Police Department provides crime data to the public through the City of Oakland's Crime Watch web site. This site presents the data in a geographic format, which allows users of the information to produce maps and/or reports.
The file that you are about to electronically download, copy, or otherwise retrieve by other means is a tabular representation of the same data without maps or reporting capabilities. Be advised that the exact address of each crime has been substituted with the block address to protect the privacy of the victim.
Please note: This Crime data are captured from reports filed with the police Department. There may be delays in data due to data processing, incident reporting or maybe technical in nature. Please allow up to 90 days from the end of each month for the data to be completely processed. For example, if you want to retrieve the full data set for the month of March, you will need to generate your report on or after June 30th. (A full 90 days after March 31st)
Represents inmate admissions to the NYS Department of Corrections and Community Supervision for a new offense or for a parole violation by month of admission. Includes data about admission type, county, gender, age, and crime.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2023. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This is data from KCPD that has been cleaned for ease of use and mapping purposes. If you would like a copy of the raw dataset, please email data@kcmo.org.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2023. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2018. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
Under the current business process, every seizure (4th Amendment of the US Constitution) conducted under the evidentiary standard of Probable Cause (PC) is documented in the RMS (Mark43). In addition to physical arrests made by officers, the system is configured to capture warrants, and summons arrests (where the officer is affecting a PC seizure on the authority of someone else (the court) and administrative arrest types that document updates to the identity of the subject who was arrested and additional charges. In total, 12 types of arrest are captured in the source.
Note: This data set includes counts of arrest reports written which are distinct from physical, in-custody events. All counts herein reflect either total counts of arrest reports by the selected filter parameters, and/or the total number of reports written per subject.
This dataset contains aggregate data on violent index victimizations at the quarter level of each year (i.e., January – March, April – June, July – September, October – December), from 2001 to the present (1991 to present for Homicides), with a focus on those related to gun violence. Index crimes are 10 crime types selected by the FBI (codes 1-4) for special focus due to their seriousness and frequency. This dataset includes only those index crimes that involve bodily harm or the threat of bodily harm and are reported to the Chicago Police Department (CPD). Each row is aggregated up to victimization type, age group, sex, race, and whether the victimization was domestic-related. Aggregating at the quarter level provides large enough blocks of incidents to protect anonymity while allowing the end user to observe inter-year and intra-year variation. Any row where there were fewer than three incidents during a given quarter has been deleted to help prevent re-identification of victims. For example, if there were three domestic criminal sexual assaults during January to March 2020, all victims associated with those incidents have been removed from this dataset. Human trafficking victimizations have been aggregated separately due to the extremely small number of victimizations.
This dataset includes a " GUNSHOT_INJURY_I " column to indicate whether the victimization involved a shooting, showing either Yes ("Y"), No ("N"), or Unknown ("UKNOWN.") For homicides, injury descriptions are available dating back to 1991, so the "shooting" column will read either "Y" or "N" to indicate whether the homicide was a fatal shooting or not. For non-fatal shootings, data is only available as of 2010. As a result, for any non-fatal shootings that occurred from 2010 to the present, the shooting column will read as “Y.” Non-fatal shooting victims will not be included in this dataset prior to 2010; they will be included in the authorized dataset, but with "UNKNOWN" in the shooting column.
The dataset is refreshed daily, but excludes the most recent complete day to allow CPD time to gather the best available information. Each time the dataset is refreshed, records can change as CPD learns more about each victimization, especially those victimizations that are most recent. The data on the Mayor's Office Violence Reduction Dashboard is updated daily with an approximately 48-hour lag. As cases are passed from the initial reporting officer to the investigating detectives, some recorded data about incidents and victimizations may change once additional information arises. Regularly updated datasets on the City's public portal may change to reflect new or corrected information.
How does this dataset classify victims?
The methodology by which this dataset classifies victims of violent crime differs by victimization type:
Homicide and non-fatal shooting victims: A victimization is considered a homicide victimization or non-fatal shooting victimization depending on its presence in CPD's homicide victims data table or its shooting victims data table. A victimization is considered a homicide only if it is present in CPD's homicide data table, while a victimization is considered a non-fatal shooting only if it is present in CPD's shooting data tables and absent from CPD's homicide data table.
To determine the IUCR code of homicide and non-fatal shooting victimizations, we defer to the incident IUCR code available in CPD's Crimes, 2001-present dataset (available on the City's open data portal). If the IUCR code in CPD's Crimes dataset is inconsistent with the homicide/non-fatal shooting categorization, we defer to CPD's Victims dataset.
For a criminal homicide, the only sensible IUCR codes are 0110 (first-degree murder) or 0130 (second-degree murder). For a non-fatal shooting, a sensible IUCR code must signify a criminal sexual assault, a robbery, or, most commonly, an aggravated battery. In rare instances, the IUCR code in CPD's Crimes and Vi
Police personnel and selected crime statistics / Personnel de police et certaines statistiques de la criminalité
This dataset includes all arrests with all offenses listed for each arrest. Each offense lists the demographic information for the person arrested for that offense. There may be multiple offenses for an arrestee. This dataset should only be used for counting the number of offenses related to arrests.
This dataset represents the Dallas Police Public Data related to Accidents - RMS Incidents beginning June 1, 2014 to current-date. The Dallas Police Department strives to collect and disseminate police report information in a timely, accurate manner. This information reflects crimes as reported to the Dallas Police Department as of the current date. Crime classifications are based upon preliminary information supplied to the Dallas Police Department by the reporting parties and the preliminary classifications may be changed at a later date based upon additional investigation. Therefore, the Dallas Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information contained herein and the information should not be used for comparison purposes over time. The Dallas 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.
This online site is an attempt to make it easier for citizens to access offense reports. In disseminating this crime information, we must also comply with current laws that regulate the release of potentially sensitive and confidential information. To ensure that privacy concerns are protected and legal standards are met, report data is "filtered" prior to being made available to the public. Among the exclusions are:
1.) Sexually oriented offenses 2.) Offenses where juveniles or children (individuals under 17 years of age) are the victim or suspect 3.) Listing of property items that are considered evidence 4.) Social Service Referral offenses 5.) Identifying vehicle information in certain offenses Less
Data from the Maryland State Police (MSP) for the Governor's Office of Performance Improvement Dashboard. This data is updated by MSP quarterly. The data provided is accurate at the time of the query and maybe subject to change at a later date.
See the attached PDF for a detailed description of each tax type. The Comptroller of Public Accounts is charged by statute, Tex. Gov’t Code § 403.0142, with reporting and posting the amounts of revenue remitted from each Texas municipality and county for taxes whose location information is available from tax returns. The revenue is presented by county only because specific cities could not be definitively determined from the report data. Returns submitted directly by local governments are open records and include their names and addresses. Due to confidentiality restrictions, amounts reported by businesses cannot be provided when less than four businesses report for a specific county. This data is posted quarterly, six months after the end of the quarterly data period to allow for collection actions when needed.
See https://comptroller.texas.gov/about/policies/privacy.php for more information on our agency’s privacy and security policies
Since 1998, the New York City Police Department (NYPD) has been tasked with the collection and maintenance of crime data for incidents that occur in New York City public schools. The NYPD has provided this data to the New York City Department of Education (DOE). The DOE has compiled this data by schools and locations for the information of our parents and students, our teachers and staff, and the general public. In some instances, several Department of Education learning communities co-exist within a single building. In other instances, a single school has locations in several different buildings. In either of these instances, the data presented here is aggregated by building location rather than by school, since safety is always a building-wide issue. We use “consolidated locations” throughout the presentation of the data to indicate the numbers of incidents in buildings that include more than one learning community.
This is a test data set from AGRC converting XY to Long Lat.
This dataset includes the arrest, arrest location, and demographic information about the arrested person. This dataset is provided for an easy method of viewing data about arrestees.
Arrests by the Urbana Police Department, with arrestee demographic data, from 1988 until February 2023, when the Urbana Police began using a new computer system. Records before 1988 are incomplete - and could be data entry errors. MAPPING NOTE: Only the home city of the arrestee is available for mapping.
This dataset consists of numbers for casualty collision, pedestrian collisions, person crimes, property crimes and total disorder. The numbers are represented for full year for 2014 and 2015 and for each quarter from 2016 onwards
Contains personal crime victimizations. Personal crimes include rape and sexual assault, robbery, aggravated and simple assault, and personal theft/larceny (purse-snatching/pocket picking). Persons that did not report a personal crime victimization are not included on this file. Victimizations that took place outside of the United States are excluded from this file.
Social disorder data is provided monthly by Corporate Security and covers physical security operations within nine-block radius of City Hall and the Municipal Complex. Data reflects incidents and activity reported by City of Calgary security staff. Any resulting criminal or bylaw charges are not tracked within this dataset. Data sets posted may change over time.
Dallas Police Public Data - RMS Arrest w GeoLocation (Temp)
Crime severity index and weighted clearance rates, NB / Indice de gravité de la criminalité et taux de classement pondérés, NB
2013 Non-Fatal Shootings as reported to the Maryland Coordination and Analysis Center (MCAC)
| Police incidents from 1988 until February 2023, when the Urbana Police began using a new computer system. Records before 1988 are incomplete - and could be data entry errors. | MAPPING NOTE! Some addresses will not appear on maps because streets no longer exist or are not recognized by the mapping databases. |
***The Los Angeles Police Department (LAPD) has transitioned traffic collision reporting to our new Records Management System (RMS) as part of our ongoing efforts to modernize data collection and comply with the FBI’s National Incident-Based Reporting System (NIBRS). This transition will improve the accuracy and detail of reported traffic-related incidents.
During this process, there will be a delay in the availability of new traffic collision datasets while they are being developed for the new system. In the meantime, users will continue to see only historical data from the retired system. We appreciate your patience as we complete this transition. ***
This dataset reflects traffic collision incidents in the City of Los Angeles dating back to 2010. This data is transcribed from original traffic reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0°, 0°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
The information included in this dataset is for the Governor’s Executive Budget and provides key Program Measures by Agency or Office.
Dallas Police Active Calls - Geolocation
This dataset reflects arrests in the City of Gainesville since 2011. Arrest data is provided by the Gainesville Police Department (GPD) and derived from Police reports.
Disclaimer: Crime Responses is provided by the Gainesville Police Department (GPD) to document initial details surrounding an incident to which GPD officers respond. This dataset contains crime incidents from 2011 to present and includes a reduced set of fields focused on capturing the type of incident as well when and where an incident occurred. The Incident location addresses have been rounded off and are not the exact location due to the constitutional amendment known as "Marsy's Law".
In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.
This dataset reflects incidents that have been reported to the New Orleans Police Department in 2025. Data is provided by Orleans Parish Communication District (OPCD), the administrative office of 9-1-1 for the City of New Orleans. Please request 911 audio via our public records request system here: https://nola.nextrequest.com.
In the OPCD system, NOPD may reclassify or change the signal type for up to 36 hours after the incident is marked up. For information about an incident after this time period, citizens may request police reports from the NOPD Public Records Division. In order to protect the privacy of victims, addresses are shown at the block level and the call types cruelty to juveniles, juvenile attachment and missing juvenile have been removed in accordance with the Louisiana Public Records Act, L.R.S. 44:1. Map coordinates (X,Y) have been removed for the following call types: Aggravated Rape, Aggravated Rape - MA, Crime Against Nature, Mental Patient, Oral Sexual Battery, Prostitution, Sexual Battery, Simple Rape, Simple Rape - Male V, and Soliciting for Prost.
Disclaimer: These incidents 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 New Orleans 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 New Orleans 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 New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset contains all crime incidents where a police report was taken. Data goes back to 2019 and is updated each morning by 8:30am. Note that sex crimes and juvenile specific crime types are omitted from this dataset. Please see the data dictionary attached for more details.
Terms of Use: The information in this portal is provided strictly as a courtesy to the public. This website provides information as to initial crime reports, and does not reflect subsequent changes in the investigation, nature, or accuracy of the initial report. While all attempts are made to ensure the correctness and suitability of information presented here, neither the City of Memphis nor the Memphis Police Department guarantee the accuracy of the information contained herein. Crime data may be amended or corrected by the Memphis Police Department at any time. This data may not reflect the official crime index totals as reported to the Tennessee Bureau of Investigation.
Represents incarcerated individual releases to the community during the calendar year from a term of incarceration at a NYS DOCCS facility. Includes data about type of release, county of commitment, first known county of residence, sex, race/ethnicity, age at release, and most serious crime.
Police incident level data documenting vehicular stops. Data is collected under New York City Administrative Code 14-191 and may be used to gain insight into police-initiated vehicle stops, demographics of people stopped, details of vehicles involved and resulting action of stops, if any.
Information related to criminal cases in the media.
This dataset reflects arrest incidents in the City of Los Angeles from 2010 to 2019. This data is transcribed from original arrest reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0.0000°, 0.0000°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
See the attached PDF for a detailed description of each tax type. The Comptroller of Public Accounts is charged by statute, Tex. Gov’t Code § 403.0142, with reporting and posting the amounts of revenue remitted from each Texas municipality and county for taxes whose location information is available from tax returns. The revenue is presented by county only because specific cities could not be definitively determined from the report data. Returns submitted directly by local governments are open records and include their names and addresses. Due to confidentiality restrictions, amounts reported by businesses cannot be provided when less than four businesses report for a specific county. This data is posted quarterly, six months after the end of the quarterly data period to allow for collection actions when needed.
Contains property crime victimizations. Property crimes include burglary, trespassing, motor vehicle theft, and other household theft. Households that did not report a property crime victimization are not included on this file. Victimizations that took place outside of the United States are excluded from this file.
The key metric of recidivism for Maryland and for the Department of Public Safety and Correctional Services (DPSCS) is the cumulative percentage of releasees who return to Corrections within three years. Since the start of the O'Malley-Brown administration we have driven down recidivism rates at a record pace. This dataset shows how many releasees return to Corrections within one, two, and three years of release. DPSCS's Office of Grants Policy and Statistics (GPS) publishes these data annually in their Repeat Incarceration Supervision Cycle (RISC) reports. The newest data were published in August 2013. Data for FY 2012 are scheduled to be released in summer 2014.
This dataset contains details of incidents where police encountered resistance.
The dataset contains details of incidents where police encountered resistance.
The dataset contains details of incidents where police encountered resistance
This dataset shows information about each traffic crash since 2011 on city streets within the City of Gainesville limits and under the jurisdiction of Gainesville Police Department (GPD). Data shown are more than 60 days from when accidents occurred due to Florida Statutes 316.066.
Disclaimer: In 2021, Florida reporting of crime data began a transition from Summary Reporting System (SRS) to National Incident-Based Reporting System (NIBRS), causing an effect on crime statistics reported by Law Enforcement Agencies such as the Gainesville Police Department who made this transition on November 16, 2021. The effect would be an increase in crime due to the elimination of the SRS Hierarchy Rule which collected only the most serious offense in an incident while NIBRS will now capture up to 10 offenses per incident and specifies more offense categories than SRS. The inclusion of these crimes, particularly property crimes, will reflect an increase in crime when switching from SRS reporting to NIBRS' reporting. The apparent increase (usually not greater than 2.7%) is simply due to the difference between how crimes are counted in NIBRS versus the SRS and its application of the Hierarchy Rule. More information regarding NIBRS effect on crime statistics can be found on the following link: https://ucr.fbi.gov/nibrs/2014/resource-pages/effects_of_nibrs_on_crime_statistics_final.pdf.
For current events see Police Dispatch Events 2021-present. Calls for service dispatched to Mesa Police Patrol Officers through Computer Aided Dispatch (CAD) system for the period 1/1/2017 - 12/31/2020. Calls are modified for public use, obfuscating the address number through rounding it to the 100 block. Note that these are calls for service and may not necessarily correspond to the data located in the Police Incidents dataset. Crimes reported in this data set have not been adjudicated in a court of law for final determination.
Sensitive crimes are listed but the address of their occurrence will NOT be included. In this way aggregate totals of crimes will be accurate, without providing sensitive information. Addresses where the following crime types occur will NOT be captured: Sexual abuse, Sexual assault, Suicide, Incest, Molestation of a child and Homicide.
Priority One (P1) Call: Life threatening or confrontations which may threaten life or safety of a person.
Priority Two (P2) Call: In progress crime that could result in a threat to injure or possible major property loss or immediate apprehension of a suspect. Accidents with injury or other traffic incidents that create a traffic hazard.
Priority Three (P3) Call: Minor in-progress/just occurred calls, where there is no threat of injury or major property loss.
Priority Four (P4) Call: Nuisance calls, civil standbys, delayed reports where reporting party (RP) is at public location.
Priority Five (P5) Call: Calls where a delay will not result in a crime occurring or the loss of an apprehension or an injured person not receiving aid.
This dataset documents Groups A and B arrests reported by the City of Asotin Police Department to NIBRS (National Incident-Based Reporting System).
Effective March 7, 2024, the Los Angeles Police Department (LAPD) implemented a new Records Management System aligning with the FBI's National Incident-Based Reporting System (NIBRS) requirements. This switch, part of a nationwide mandate, enhances the granularity and specificity of crime data. You can learn more about NIBRS on the FBI's website here: https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs
NIBRS is more comprehensive than the previous Summary Reporting System (SRS) used in the Uniform Crime Reporting (UCR) program. Unlike SRS, which grouped crimes into general categories, NIBRS collects detailed information for each incident, including multiple offenses, offenders, and victims when applicable. This detail-rich format may give the impression of increased crime levels due to its broader capture of criminal activity, but it actually provides a more accurate and nuanced view of crime in our community.
This change sets a new baseline for crime reporting, reflecting incidents in the City of Los Angeles starting from March 7, 2024.
With NIBRS, each criminal incident may reflect multiple offenses, resulting in more robust data than before. This may change the appearance of crime frequency, as multiple offenses per incident are reported individually.
Effective March 7, 2024, the Los Angeles Police Department (LAPD) implemented a new Records Management System aligning with the FBI's National Incident-Based Reporting System (NIBRS) requirements. This switch, part of a nationwide mandate, enhances the granularity and specificity of crime data. You can learn more about NIBRS on the FBI's website here: https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs
NIBRS is more comprehensive than the previous Summary Reporting System (SRS) used in the Uniform Crime Reporting (UCR) program. Unlike SRS, which grouped crimes into general categories, NIBRS collects detailed information for each incident, including multiple offenses, offenders, and victims when applicable. This detail-rich format may give the impression of increased crime levels due to its broader capture of criminal activity, but it actually provides a more accurate and nuanced view of crime in our community.
This change sets a new baseline for crime reporting, reflecting incidents in the City of Los Angeles starting from March 7, 2024.
NIBRS collects detailed information about each victim per incident, including victim- demographics information and specific crime details, providing more insight into affected individuals within each reported crime.
This data set includes adult and youth referrals from law enforcement, and charging data from the Ramsey County Attorney's Office. • Some referred cases are still pending review. • There may be multiple charges per case, and the lead charge is “Count 1”. • For adults, data primarily includes felony-level cases. With a few exceptions, misdemeanor and gross misdemeanor cases are prosecuted by city attorney offices. • For youth, data includes all levels of cases. • Data is based on the lead alleged violation in the case, both for referrals and petitions. • Age data is based on age at date of incident. • Race data is based on information provided in the referral and may be updated if we receive new information.
There is a second data set for youth school attendance matters diversion; located here https://data.ramseycounty.us/Public-Safety-and-Justice/RCAO-Youth-SAM-Data/hqh4-qxri
This dataset is provided by Police Department of Town of Dumfries. It includes crimes against, property, persons and calls of service. Data set is updated monthly and always one month behind.
This dataset is compilation of percentages of drug offenses by type of drug as reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System), Group A.
Police Cases represent all police incidents that result in a police report being generated by the responding officer.
Case reports involving domestic violence, child abuse, or sex offenses involving minors are not reported.
This is historical data. The update frequency has been set to "Static Data" and is here for historic value. Updated on 8/14/2024
Domestic Violence - Domestic violence contributes greatly to the morbidity and mortality of Maryland citizens. Up to 40% of violent juvenile offenders witnessed domestic violence in the homes, and 63% of homeless women and children have been victims of intimate partner violence as adults. Link to Data Details
Complete data set from the Washington State Criminal Justice Data Book. Combines state data from multiple agency sources that can be queried through CrimeStats Online.
This datasets provides annual counts of arrests made by type of crime for 243 Police Agencies in Colorado. There are 31 different types of crime incidents tracked in this dataset, for the period 1974 thru 2021.
This dataset documents Group B arrests for crimes reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System).
This dataset contains a list of Police Dispatched Incidents records. Update Frequency : 4 Times Daily
Court appearance dates, crime types, demographic information, text notifications, and appearance outcomes for defendants represented by the Marin County Public Defender. Data is updated daily and begins in August 2019.
Information about each Defendant includes the number of text notifications he or she received, whether the court date is for a misdemeanor or felony, the crime type, the age range of the defendant at the time of the court date, ethnicity and gender. Also included is whether the Defendant appeared or failed to appear for the court date.
Clearance rate for Part 1 crimes for law enforcement agencies in Fulton County. Includes police departments for ten out of fourteen police departments. Clearance rates were not reported by Johns Creek, Milton, Chattahoochee Hills and Sandy Springs.
Police Statistics for the City of Franklin compares crime rates (violent and property) and clearance rates (violent and property) vs. national averages.
This dataset displays Violent & Property Crimes that have taken place in the City of Little Rock. These are part 1 crimes which are reported to FBI. These numbers are subject to change due to reclassifying. Addressing is not provided on Rapes or associated items for victim privacy.
The Wethersfield State Prison opened in September 1827 with the transfer of eighty-one prisoners from Newgate Prison. Modeled after the state-of-the-art Auburn State Prison in New York, Wethersfield provided solitary confinement for the prisoners and facilities for various workshops. In 1963, all prisoners from Wethersfield were transferred to a new State Prison at Somers and two years later Wethersfield State Prison was demolished.
The Warrants of Commitment, 1800-1903, contain the name of the prisoner, any known aliases, the crime, sentence, court, and date of incarceration. This information can be used to determine the probable location of court records relating to the individual prisoners.
People may request a copy of a file by contacting the staff of the History & Genealogy Unit by telephone (860) 757-6580 or email. When requesting a copy of a record, please include at least the name of the individual and date.
This dataset provides key performance indicators for several agencies disaggregated by community district, police precinct, borough or school district. Each line of data indicates the relevant agency, the indicator, the type of geographic subunit and number, and data for each month. Data are provided from Fiscal Year 2011 (July 2010) to Fiscal Year 2019 (June 2019). This data is submitted by the relevant agency to the Mayor’s Office of Operations on an annual basis and is available on Operations’ website.
For the latest available information, please refer to the Mayor's Management Report - Agency Performance Indicators dataset.
This data set contains data from individuals cited by a police officer in Montgomery County. Update Frequency : Daily
This dataset displays Violent & Property Crimes that have taken place in the City of Little Rock. These are part 1 crimes which are reported to FBI. These numbers are subject to change due to reclassifying. Addressing is not provided on Rapes or associated items for victim privacy.
This dataset represents all active warrants recorded by the Norfolk Police Department. Warrants can be searched by type of crime, demographics of persons involved and total number of outstanding warrants. This dataset is updated daily.
Note: this dataset does not contain any active warrants that could possibly: • jeopardize an ongoing investigation, or prosecution, or the safety of an individual, • cause a suspect to flee or evade detection, • result in the destruction of evidence.
The information is the same data transmitted to the Illinois Department of Transportation (IDOT) with two additions: the "Motivation for Stop", and the offense codes recorded. Traffic stops appear from 2012, when the State revised the format to the current standard, until February 2023 when the system changed.
IMPORTANT!! (please click "More" to read this…) Adding the Offense Codes means that each line of information represents a single Offense.
For example: a traffic stop for speeding results in an arrest for an outstanding warrant and for possession of narcotics. That would appear on this listing THREE times (speeding, arrest warrant, and narcotics). The Incident Number will be the same (and the driver demographics), but the Crime Codes will be different on each line.
So counting rows of this dataset will return a higher count than the actual stops. This will cause some discrepancies with State data, which only count each stop once.
Please refer to the attachment for more details.
This dataset shows the relationship of victims to offenders for crimes as reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System), Group A
Crime related data based on the UCR uniform crime reporting statistics submitted by the Police Department
**Starting on March 7th, 2024, the Los Angeles Police Department (LAPD) will adopt a new Records Management System for reporting crimes and arrests. This new system is being implemented to comply with the FBI's mandate to collect NIBRS-only data (NIBRS — FBI - https://www.fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr/nibrs). During this transition, users will temporarily see only incidents reported in the retiring system. However, the LAPD is actively working on generating new NIBRS datasets to ensure a smoother and more efficient reporting system. **
This dataset reflects arrest incidents in the City of Los Angeles from 2020 to present. This data is transcribed from original arrest reports that are typed on paper and therefore there may be some inaccuracies within the data. Some location fields with missing data are noted as (0.0000°, 0.0000°). Address fields are only provided to the nearest hundred block in order to maintain privacy. This data is as accurate as the data in the database. Please note questions or concerns in the comments.
This data represents the top arrest charge of those processed at Baltimore's Central Booking & Intake Facility. This data does not contain those who have been processed through Juvenile Booking.
Aggregated information on the number of applicants to the Memphis Police Department's Police Academy.
Dataset highlighting arrests by Albany PD Officers for the past year to date GeoCoded by Patrol Zone. It is the same data as Arrests by Neighborhood
For purposes of crime statistics, the FBI Uniform Crime Report Hierarchy Rule requires when more than one offense occurs in an incident the highest priority crime is selected as the primary offense.
This dataset documents Groups A & B arrests as reported by the Asotin County Sheriff's Office to NIBRS (National Incident-Based Reporting System).
Utah, Offenses known to law enforcement, 2010 By FBI
Residential Burglary incident Data
The City of Calgary is broken down into 8 Districts. These districts are a geographical representation which help centralize police offices within the communities to ensure quick response to community needs. Each District has a district office. These districts can be used to calculate information submitted by investigators on criminal activity. The crime statistics can be used to develop crime prevention strategies. Location of Calgary Police Service headquarters, district offices, and community stations.
Healthy Neighborhoods data for Get Healthy San Mateo County's Healthy Cities SMC: http://www.gethealthysmc.org/healthy-cities-smc
This dataset shows crime statistics for the City of Clarkston, WA Police Department.
Detailed summary of the City of Corona's Police Department response times. Data is pulled directly from the PD record management system. This system is updated real-time by dispatch and file personnel in the field. Important Notice: The City of Corona Fire and Police Department recently implemented a new Public Safety software solution. Due to this change, the data displayed on this dashboard is current up to 07/08/2019. We appreciate your patience as we work to correct this issue. Update Frequency: Daily Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.
This dataset displays Violent & Property Crimes that have taken place in the City of Little Rock. These are part 1 crimes which are reported to FBI. These numbers are subject to change due to reclassifying. Addressing is not provided on Rapes or associated items for victim privacy.
This data will capture all incidents and criminal offenses that may be motivated by an offender's bias against a race, national or ethnic origin, religion, sex, mental or physical disability, sexual orientation or gender identity. Update Frequency: Weekly
The information included in this dataset is for the Governor’s Executive Budget and provides key Program Measures by Agency or Office.
TRAINING TEST DATA: Number of in-custody offenders who are qualifed to be modified into treatment programs are modified and released from jail early
The information included in this dataset is for the Governor’s Executive Budget and provides key Program Measures by Agency or Office.
This data set contains criminal offenses known to the FBI within Counties in Utah. This data set comes from the Uniform Criminal Reporting system of the FBI.
This Indicator measures the median response times of calls for service that were routed to patrol. The measurement is broken down between Priority 1 and Priority 2 calls as well as by police area. Priority 1 Calls are defined as those that include potential danger for serious injury to persons, prevention of violent crimes, serious public hazards, felonies in progress with possible suspect on scene. Priority 2 Calls are defined as urgent but not an emergency situation, hazardous / sensitive matters, in-progress misdemeanors and crimes where quick response may facilitate apprehension of suspect(s). There are 5 police areas in Oakland each of which consist of a defined set of police beats and therefore cover a specific geographic part of Oakland. For more information and maps of areas, see here: http://www2.oaklandnet.com/government/o/OPD/o/BFO/index.htm
Total number of Community Emergency Response Team (CERT) and Business Emergency Response Team (BERT) training courses offered and the number of people trained; ensures that the peoples families, homes and businesses are safer from threats of crime, terrorism, and disasters of all kinds.
Each District has a district office. These districts can be used to calculate information submitted by investigators on criminal activity. The crime statistics can be used to develop crime prevention strategies.
Increase property crime closure rate.
This data set contains known criminal offenses from the FBI's Uniform Crime Reporting Program for Counties in Utah for 2012
Offense Types based on the Uniform Crime Reporting (UCR) Program by the National Incident-Based Reporting System (NIBRS).
Offense codes and description are from https://ucr.fbi.gov/nibrs/2011/resources/nibrs-offense-codes
The definition of whether a offense type is violent or not was based on https://ucr.fbi.gov/crime-in-the-u.s/2018/crime-in-the-u.s.-2018/topic-pages/violent-crime
This data set contains criminal offenses known to the FBI within Counties in Utah. This data set comes from the Uniform Criminal Reporting system of the FBI.
Major felonies reflect the count of arrests made in relation to seven major felony offenses within the MTA system. These offenses are classified as murder, rape, robbery, felony assault, burglary, grand larceny, and grand larceny auto.
Contains demographic information of respondents. All respondents, regardless of whether they reported a personal crime victimization, are included in this file.
2014 Community Survey - Input will be used to help improve the quality of city services and set priorities for the community.
View Survey - https://www.dallasopendata.com/api/views/8uai-e8aw/files/qTtqNtLAZzSj75XuR3NhHu5JejJ586NcjZGFfjEmsYw?download=true&filename=Dallas-2014-DF-Survey.pdf
This data set contains criminal offenses known to the FBI within Counties in Utah. This data set comes from the Uniform Criminal Reporting system of the FBI.
Contains demographic information of participating households. All respondents, regardless of whether they reported a household property crime victimization, are included in this file.
Background: “In 2006, the Seattle Police Department began surveying members of the public (customers) who had personal contact with an officer after calling 9-1-1. The surveys have been conducted two to four times a year, and a total of 44 surveys have been conducted to date. These surveys have been designed to assess customers’ experiences and satisfaction with the service provided by the Seattle Police Department, and the results of the surveys have been used to assess service delivery; examine differences between precincts; identify strategies and tactics to achieve specific service objectives; and provide feedback to officers, precinct captains, and watch lieutenants. This report presents the results of the September 2019 customer survey and compares the September 2019 survey results to results from the 13 other surveys conducted since March 2016.”
Research Methods. “Similar to the previous surveys, 200 customers who called 9-1-1 and had an officer dispatched to provide assistance were interviewed by telephone for this survey. All of the customers interviewed had called 9-1-1 between August 21 and August 29, 2019, and were randomly selected from lists of 9-1-1 callers who had an officer dispatched to provide assistance, excluding sensitive cases such as domestic violence calls. The interviews were completed between September 3 and September 10, 2019. The interviews were approximately 10 to 12 minutes long. The questionnaire used in the interviews was developed with Department input and approval. During the course of this research, some questions have been added to or deleted from the survey questionnaire to reflect the changing information needs of the Department. However, questions about customers’ overall satisfaction with their experience with the Department after calling 9-1-1, experiences with and opinions of the officer who first visited after the call to 9-1-1, opinions of the Seattle Police Department overall, and satisfaction with the service provided by the 9-1-1 operator have been included in every survey. Since late 2006 and early 2007, the surveys also included questions about customers’ feelings of safety in Seattle.”
This data set contains criminal offenses known to the FBI by Counties in Utah 2013. This data is taken from the FBI's Uniform Crime Reporting (UCR) Program.
The financial expenditures of Correctional Services to administer custodial and community-based sentences in the province. This dataset provides financial information such as the gross expenditures on Nova Scotia Corrections; the per capita expenditures on Nova Scotia Corrections, which is calculated using the total population in Nova Scotia; and the average daily cost in adult custody in Nova Scotia, which is calculated using the adult offender population in adult facilities. Fluctuations in the cost of Corrections may be driven by a number of factors, including but not limited to: the level of crime, legislative and policy responses to crime, sentencing practices, and administrative changes relating to organizational structure and the delivery of services, as well as changes in salaries and benefits for staff. The source for the financial information is the Nova Scotia Department of Justice, Financial Services Corporate Service Unit (CSU). Population data is sourced from Statistics Canada Table 17-10-0009-01 (formerly CANSIM 051-0005) -Population estimates, quarterly.
This data set contains criminal offenses known to the FBI within Counties in Utah. This data set comes from the Uniform Criminal Reporting system of the FBI.
Violent crime reduction
These areas were identified to assist the DPD with strategic decision making and tactical action, while illustrating where conditions seem favorable for crime to occur.
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. Arrests shown involve individuals who were 18 or older when the crime was committed. 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.
Property crime reduction.
This data set contains criminal offenses known to the FBI within Counties in Utah. This data set comes from the Uniform Criminal Reporting system of the FBI.
The Daily Police Log offers a comprehensive overview of incidents reported to and by the Cambridge Police Department (CPD). Each entry represents a distinct call for service or police report, encompassing a wide range of public safety activities, from criminal offenses to non-criminal matters.
To protect the privacy of individuals involved, personal identifiers are omitted from the dataset, and location information is limited to the street or block level rather than precise addresses.
This dataset serves as a resource for community members, researchers, and policymakers interested in public safety trends, incident patterns, and the operational scope of the Cambridge Police Department.
Percent of Participants in Drug Court who Commit a New Crime is Below Target (1)
Number of Citizen Initiated and Officer Initiated Calls-for-Service
This dataset includes annual counts of youth ages 10-18 taken into police custody for criminal offenses committed during the annual reporting period. All local law enforcement agencies are required by law to report custody (minors) and arrest (adults) data to the Missouri Department of Public Safety. Data is organized by Part I and Part II offenses and accessible through the department’s Uniform Crime Reporting website. Part I offenses are those that are generally of a violent and more serious nature. Part I crimes include homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, motor vehicle theft and arson. Part II crimes generally are non-violent and include offenses such as vandalism, disorderly conduct and missed curfew and loitering. Custody counts may include a single youth being counted for multiple incidents on different occasions.
The per 100,000 youth rate for Youth Taken into Custody for Criminal Offenses is calculated as:
(# Total Youth taken into Custody/Total Youth Population for Ages 10-18) x 100,000.
In addition to monitoring crime levels, the Calgary Police Service uses a range of types of calls for service (CFS) to monitor levels of "Disorder." Research indicates that disorder can have a negative impact on public perceptions of safety. Disorder is often highly visible, occurring in public spaces; drunks, panhandling, youth gangs, prostitution, littering, loitering and graffiti are examples of signals of social and physical disorder. A very low proportion of disorder-based calls for service result in crime reports.
Disorder CFS included are: Drunk, Disturbance, Indecent Act, Landlord/tenant, Mental health concern, Neighbor dispute, Party complaint, Suspicious person, Threats, Drugs, Noise complaint, Possible gunshots, Unwanted guest/patron, Prostitution, Speeder.
Please note there has been an update to the methodology for disorder in January of 2024, including the removal of property damage and Abandoned auto, resulting in the dissolution of disorder sub-categories. Disorder counts will therefore not be directly comparable to previously published disorder reporting.
Only public-generated call types are included: Advised, Callback, and Dispatched (police-generated calls are excluded). All dispositions are included.
Events are assigned to communities based on the geocode in CAD. Count is by single event.
Data source: Computer Aided Dispatch (CAD) run on the 4th of the month (or the closest business day) for the previous month. This data is considered to be static. Property Damage occurrences reported using the online reporting system are included from the CPS records management system (SENTRY). This data is considered to be cumulative.
Dataset highlighting LEAD Diversions by Albany PD Officers GeoCoded by Patrol Zone and Neighborhood Association.
Since 1998, the New York City Police Department (NYPD) has been tasked with the collection and maintenance of crime data for incidents that occur in New York City public schools. The NYPD has provided this data to the New York City Department of Education (DOE). The DOE has compiled this data by schools and locations for the information of our parents and students, our teachers and staff, and the general public. In some instances, several Department of Education learning communities co-exist within a single building. In other instances, a single school has locations in several different buildings. In either of these instances, the data presented here is aggregated by building location rather than by school, since safety is always a building-wide issue. We use “consolidated locations” throughout the presentation of the data to indicate the numbers of incidents in buildings that include more than one learning community.
Calls for Service to NYPD's 911 system This dataset documents entries into the NYPD 911 system, ICAD. The data is collected from the ICAD system which call takers and dispatchers use to communicate with callers and the NYPD. Each record represents an entry into the system. The data includes entries generated by members of the public as well as self-initiated entries by NYPD Members of Service. The data can be used for issues being responded to by the NYPD.
Police annual workload and performance measure data.
This data set contains known criminal offenses as reported from the 'Offenses Know to Law Enforcement" as reported by the FBI's Uniform Crime Reporting program for 2011.
Domestic violence injuries by type as reported by the City of Clarkston Police Department to NIBRS (National Incident-Based Reporting System), Group A.
A look at the City's activities for the past ten years
A table of the values and definitions of fields used in Austin Police Department datasets.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
DC Index Crime incident locations for 2015. The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Please visit http://crimemap.dc.gov for more information.
Priority 1 Response Time Averages based on Dispatch to Arrival times. Response averages are provided in the following categories: Citywide, East Area Command, North Area Command, West Area Command Response Time = Arrival Time minus Dispatch Time Response Average = Average of response times for given category
Data Provided by Georgia Department of Community Supervision, Georgia Crime Information Center
This dataset lists the location of Justice Centres/Courts throughout the province.
DATASET DESCRIPTION: This dataset provides the case report number, the date the incident occurred, subject race and gender at the time of the interaction and the lead charge. This dataset contains only instances where a warning was issued to the subject of the interaction for a violation.
GENERAL ORDERS RELATING TO TRAFFIC ENFORCEMENT: After stopping the violator, officers shall exercise good judgment in deciding what enforcement action should be taken (e.g., warning, citation, arrest). Additionally, field release citations and warnings shall be completed as outlined in General Order 308, which permits law enforcement agencies to use citation release procedures in lieu of arrest for specified Class A or B misdemeanor offenses, and all Class C misdemeanor offenses with certain exceptions.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER:
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The data provided is for informational use only and may differ from official Austin Police Department crime data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
This dataset reflects the monthly number of units vandalized for select elements of the subway and bus system.
This dataset provides data on the level of familiarity with the justice system expressed by Nova Scotians and is based on a question included in the Atlantic Quarterly survey administered by Corporate Research Associates (CRA).
Adult admissions to correctional services / Admissions d'adultes aux services correctionnels
This dataset contains summary information by county on Incidents involving Drug and Alcohol reported use in Schools.
School categories are Public School, Charter, Intermediate, Vo-Tech, Non-Public and other.
The data count fields are suppressed when less than 11.
The data and more information is also published and searchable online on the https://www.education.pa.gov/Schools/safeschools/Pages/default.aspx website under School Safety.
Here are the infraction codes and definitions that are utilized within this report as found within appendix Z of the PIMS manual:
http://www.education.pa.gov/Documents/Teachers-Administrators/PIMS/PIMS%20Manuals/2017-2018%20PIMS%20Manual%20Vol%202.pdf
Winnebago County Sheriff’s Office Open Data Disclaimer:
The purpose of this dataset is to display a continuing dispatched Call for Service (CFS) log for the previous 72 hours. Only CFS that have been dispatched for at least one hour will display and the log will be refreshed once every hour. Some CFS have been suppressed from this log due to the sensitivity of the type of call. Primarily, any CFS involving sexual, domestic related or sensitive juvenile incidents have been suppressed.
All data contained on this site has been gathered through legitimate means and with the knowledge and approval of the Winnebago County Sheriff’s Office. All data has been extracted, processed and presented through appropriate channels.
Data and Information: All CFS data is obtained from the Police/911 Computer Aided Dispatch (CAD) system as reported. Information is preliminary and subject to change as police reports are submitted. Media outlets are advised to confirm any information not already verified through department issued press releases. Data is illustrative, not an official crime report, and should not be used for comparative reporting. The Winnebago County Sheriff’s Office is not responsible for any error or omission, misuse, or results obtained from the use of this information. Although no personal information is disseminated through data.illinois.gov, remember that all subjects are presumed innocent until proven guilty in a court of law.
DATASET DESCRIPTION: This dataset includes documented incidents in which APD inquired into a subject’s immigration status, in accordance with City of Austin Resolution 20180614-074.
GENERAL ORDERS RELATING TO THIS DATA: Officers who have lawfully detained a person to conduct a criminal investigation into an alleged criminal offense, or who have arrested a person for a criminal offense, may make an inquiry into the person’s immigration status.
Before officers inquire into immigration status, they must instruct the detainee or arrestee that the detainee or arrestee is not compelled to respond to the inquiry and that the detainee or arrestee will not be subjected to additional law enforcement action because of their refusal to respond.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER:
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The data provided is for informational use only and may differ from official Austin Police Department data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
The Austin Police Department as of January 1, 2019, become a Uniform Crime Reporting -National Incident Based Reporting System (NIBRS) reporting agency. Crime is reported by persons, property and society.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
STOP Person Detail is focused on data pertaining to the individual person that is involved in a STOP Incident from 7/1/2018 to Present. This dataset contains data fields mandated by AB 953, The Racial and Identity Profiling Act (RIPA) and other data fields that are collected during a STOP. A "STOP" is any detention by a peace officer of a person or any peace officer interaction with a person. Click below for more info on AB 953: The Racial and Identity Profiling Act- https://oag.ca.gov/ab953#:~:text=AB%20953%20mandates%20the%20creation%20of%20the%20Racial,and%20racial%20and%20identity%20sensitivity%20in%20law%20enforcement.
Zones are smaller sub areas located within Police Districts. Zones are then broken down into geocode areas. Zones may be used for crime analysis.
The dataset contains contact information for NYPD neighborhood coordination officers (NCOs). The NCOs serve as liaisons between the police and the community, but also as key crime-fighters and problem-solvers. For more information please see: https://www1.nyc.gov/site/nypd/bureaus/patrol/neighborhood-coordination-officers.page
This dataset lists the location of Department of Justice victim services offices throughout the province.
City of Rockford Police Department Open Data Disclaimer: The purpose of this dataset is to display a continuing dispatched Call for Service (CFS) log for the previous 72 hours. Only CFS that have been dispatched for at least one hour will display and the log will be refreshed once every hour. Some CFS have been suppressed from this log due to the sensitivity of the type of call. Primarily, any CFS involving sexual, domestic related or sensitive juvenile incidents have been suppressed. All data contained on this site has been gathered through legitimate means and with the knowledge and approval of the Rockford Police Department. All data has been extracted, processed and presented through appropriate channels. Data and Information: All CFS data is obtained from the Police/911 Computer Aided Dispatch (CAD) system as reported. Information is preliminary and subject to change as police reports are submitted. Media outlets are advised to confirm any information not already verified through department issued press releases. Data is illustrative, not an official crime report, and should not be used for comparative reporting. The Rockford Police Department is not responsible for any error or omission, misuse, or results obtained from the use of this information. Although no personal information is disseminated through data.illinois.gov, remember that all subjects are presumed innocent until proven guilty in a court of law.
This dataset includes convictions for the following specified offences in the Motor Vehicle Act: MVA 100D Cellphone distracted driving; and MVA 103(3) Passing a school bus with red lights flashing. The information is recorded on the Nova Scotia Justice Enterprise Information Network (JEIN). The number of convictions are defined by calendar years.
MCDC is primarily responsible for the intake and law enforcement processing of adult male and female offenders arrested in Montgomery County and has a facility capacity to accommodate approximately 200 inmates. Over 13,000 offenders annually arrive at MCDC’s Central Processing Unit (CPU). This dataset captures the monthly count of those processed per Shift at our Central Processing Unit located at Montgomery County Detention Services (MCDC). There are total of three shifts (Shift 2: 6:30am-3pm, Shift 3: 2:30pm-11pm, Shift 1: 10:30pm-7am)- half hour overlap is shift change/roll call. The dataset further identifies the data as either “Criminal” or “Traffic.” Update Frequency : Monthly
Vacant properties pose a serious problem for neighborhoods and government leaders.
Historical information about proactive homeless contacts made by Mesa Police as part of Homeless Outreach Project (HOP). The "Homeless Outreach Project" involves a proactive contact made by police during an outreach effort in which services are offered to people experiencing homelessness by a nonprofit partner in partnership with Police.
Contacts = Number of individuals contacted by officers and confirmed by self-admission or other means to be homeless. Not all contacts were involved in a citeable or arrestable criminal offense or accepted humanitarian service of shelter, medical, or mental health assistance. Service Resistance/Arrests = Individual is arrested, cited, or a long form complaint is filed. Individual was contacted in commission of a crime or citable offense. If it was a felony or a warrant individual was arrested. Any minor misdemeanor or city code offenses individual is offered services of housing, CBI, etc. in lieu of a cite or being arrested. Individual declines services and is arrested or issued a citation. Service Acceptance = No crime or criminal activity is occurring. Individual is contacted and is offered shelter, medical, or mental health services and accepts placement into one of these services. Individual is transported to CBI by officer, Navigators are called and transport individual for shelter, or fire transports subject to an appropriate facility.
See https://www.mesaaz.gov/residents/community-development/reducing-homelessness/help-for-the-homeless for more information about Help for the Homeless.
The City of Winnipeg licenses 15 business activities through the Doing Business in Winnipeg By-law (https://winnipeg.ca/CLKDMIS/DocExt/ViewDoc.asp?DocumentTypeId=1&DocId=4222&DocType=C). Each activity requires one or more permits or approvals from other City of Winnipeg departments. Licensing provides protection and support within the community by regulating and controlling various activities where there is a risk or danger to the public’s health or safety. Licensing also assists in crime prevention.
Percent of homicide cases closed.
NJSP traffic stops January 1, 2020 to December 31, 2020 from OLEPS Traffic Stop Data Dashboard.
This dataset accounts for incidents where an APD officer discharged a firearm against a dog. APD is required to annually post this information as a result of the 2017 settlement of the lawsuit of Reyes vs. the City of Austin.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
- The data provided are for informational use only and may differ from official APD crime data.
- APD’s crime database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used.
- The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
This dataset reflects the number and percentage of subway trains delayed per weekday based on scheduled service, broken down into specific delay categories.
This dataset provides de-identified individual data for offenders who violated parole/special sentence conditions and were sent to prison (i.e. parole revocation) for the past 10 fiscal years. It provides information on sex, race & ethnicity, and age of those offenders.
This dataset provides information on the percentage of individuals in Nova Scotia adult correctional facilities by gender and admission status (e.g., remand, or sentenced custody, or other temporary detention). Percentage calculations exclude records where the gender of the individual is unknown. Data source: Justice Enterprise Information Network (JEIN), Nova Scotia Department of Justice.
This dataset lists the location of provincial correctional facilities for youth and adults, and community corrections offices.
In 2014, the City of Edmonton contracted Leger to conduct a survey of Edmontonians designed to understand perceptions on key measures relating to the quality of life in Edmonton.
This research is aimed at capturing citizen perception based performance measures which feed into the corporate performance reporting to achieve the City’s vision for 2040 (The Way Ahead). In recent years, Citizen Perception Surveys have been carried out annually to gather data and report on the measures.
Taking into account the recent modifications in performance measures as well as the focus on continuous improvement, the 2014 research was designed to:
- Measure the progress with respect to the key performance measures
- Understand the drivers of the performance measures and provide recommendations about how the measures can be further improved.
- Make comparisons with past measures wherever applicable
This dataset contains de-identified information on offenders who violated probation and are being sent to prison (i.e., a probation revocation) for the last 10 Fiscal Years. It provides information on sex, race & ethnicity, and age of those offenders.
Vehicular towing in the County, per applicable regulations, as reported to the Police Department. This dataset is updated monthly.
This dataset provides de-identified individual admission data for offenders admitted to Iowa Penitentiaries and Correctional Facilities during the past 10 Fiscal Years. Dataset includes information regarding age, gender, race, years served, and offense committed.
New arrivals in adult and youth facilities are counted as intakes only (e.g. from non‐custody status to custody, transfer from another jurisdiction, or conditional sentence to custody). An individual could have more than one new arrival at a correctional facility during a fiscal year. New arrivals do not include the transfer of individuals between correctional facilities within the province. Statistics presented are based on data sourced from the Justice Enterprise Information Network (JEIN).
This dataset provides de-identified offender admission data for those serving probation in Iowa Community Based Correction Facilities during the last 10 fiscal years. Dataset includes information regarding age, sex, race, and offense committed.
Annual tally of the seven major tracked crimes for the Bronx from the years 2000-2012. updated annually.
This dataset includes the charges defined by a summary offence ticket issued or an information laid as recorded on the Nova Scotia Justice Enterprise Information Network (JEIN). The number of charges are defined by the calendar year. The dataset includes the following offences under the Nova Scotia Motor Vehicle Act: MVA 100D Cellphone distracted driving; MVA 101 - Failing to drive or operate vehicle at a careful and prudent speed for existing conditions; MVA 103(3) Passing a school bus with red lights flashing; MVA 106A - Exceeding speed limit; MVA 106B - Exceeding speed limit in temporary work area or proximity to emergency vehicle; MVA 106E - Exceeding speed limit when driving by stopped emergency vehicle; and, MVA 163 - Racing, parade or sporting event (racing/stunting)
City of Mesa population provided by Census Bureau Population Estimates Program (PEP) updated annually as of July 1. See Population and Housing Unit Estimates. Census PEP estimates are used for state revenue sharing per AZ statute (42-5033.01). This dataset is the authoritative source for all city metrics such as Crimes or Traffic Collisions per 1,000 residents.
2024-2040 population projections provided by Maricopa County Association of Governments (MAG) and adopted June 2023. MAG's planning area and incorporated jurisdiction projections are published at 2023 MAG Socioeconomic Projections
Other sources of population estimates include US Census American Community Survey 1-year and 5-year Estimates at https://citydata.mesaaz.gov/d/n5gn-m5c3 and https://citydata.mesaaz.gov/Economic-Development/d/9nqf-ygw6, Arizona Office of Economic Opportunity (OEO) at https://www.azcommerce.com/oeo/population/population-estimates/ (see link for OEO methodology which differs slightly from official US Census Estimates) and City of Mesa Office of Economic Development at https://www.selectmesa.com/business-environment/demographics (ESRI Community Analyst).
All Police Reports filed by NOPD officers including incident and supplemental reports containing the item number, location, disposition, signal, charges, offender race, offender gender, offender age, victim age, victim gender, and victim race. Police Reports can be updated when subsequent information is determined as a result of an investigation. In order to protect the privacy of victims, addresses are shown at the block level. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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. For instance, the data contains ages that may be negative due to data entry errors. NOPD has chosen to publish the data as it exists in the source systems for transparency and has instituted data validation where appropriate to ensure quality data in the future. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
This dataset provides information on the percentage of offenders in adult correctional facilities by ethnicity and admission status (e.g., remand, sentenced custody, or other temporary detention). Percentage calculations exclude records where the ethnic background of the offender is unknown. Data source: Justice Enterprise Information Network (JEIN), Nova Scotia Department of Justice.
Information found in this report follow the Uniformed Crime Reporting guidelines established by the FBI for LEOKA.
Key code for Race:
A- Asian/Pacific Island, Non-Hispanic B- African American, Non-Hispanic C- Hawaiian/Other Pacific Island, Hispanic H- Hawaiian/Other Pacific Island, Non-Hispanic I- Indian/Alaskan Native, Non-Hispanic K- African American, Hispanic L- Caucasian, Hispanic N- Indian/Alaskan Native, Hispanic P- Asian/Pacific Island, Hispanic S- Asian, Non-Hispanic T- Asian, Hispanic U- Unknown W- Caucasian, Non-Hispanic
Key Code for Reading Districts:
Example: LB519
L for Law call or incident B stands for Bloomington 5 is the district or beat where incident occurred All numbers following represents a grid sector.
Disclaimer: The Bloomington Police Department takes great effort in making open data as accurate as possible, but there is no avoiding the introduction of errors in this process, which relies on data provided by many people and that cannot always be verified. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data, or for the use or interpretation of the results of any research conducted.
This is the 2018 traffic stop and race data collected only from the Vermont State Police, municipal agency data is posted separately.
All Police Reports filed by NOPD officers including incident and supplemental reports containing the item number, location, disposition, signal, charges, offender race, offender gender, offender age, victim age, victim gender, and victim race. Police Reports can be updated when subsequent information is determined as a result of an investigation. In order to protect the privacy of victims, addresses are shown at the block level. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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. For instance, the data contains ages that may be negative due to data entry errors. NOPD has chosen to publish the data as it exists in the source systems for transparency and has instituted data validation where appropriate to ensure quality data in the future. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
NJSP traffic stop January 1, 2019 to December 2019 from OLEPS Traffic Stop Data Dashboard.
This dataset is reports of both use of force and citizen complaint incident reports recorded by the Norfolk Police Department. An incident is considered an event that has been reported to the Police; it does not necessarily indicate a crime has occurred. Norfolk Police Department policy requires a Use-of-Force report every time an officer must do more than routine use of handcuffs or hands to hold, guide, or lead a person. Complaint data for findings that are still pending are excluded from this report. This data will be updated every weekday and encompasses a rolling five years.
This dataset reflects the monthly number of employee-reported incidents of workplace violence, as defined by New York State Labor Law Section 27-B, against on-duty MTA employees. This dataset divides workplace violence incidents into groupings according to New York State Penal Law Related Offenses. The same data is available in the MTA Workplace Violence Labor Law Incidents dataset, which divides the data as reported pursuant to New York State Labor Law Section 27-B.
The Pierce County Equity Index data highlights opportunities to improve equitable access and outcomes for residents of Pierce County. This Index includes an overall Opportunity Index rating which is made up of five categories (Livability, Accessibility, Economy, Education, and Environmental Health), and 32 individual data points. The data is presented in the Pierce County Equity Index web application (www.piercecountywa.gov/equityindex). Accessibility Indicators: Average Road Quality, Transit, Internet and Library Access, Parks & Open Spaces, Voter Participation, Retail Services, Household Vehicle Access and Healthily Food Availability. Education Indicators: High School Graduation Rate, 25 Age+ with Bachelors' Degree or More, Average Test Proficiency, Average Student Mobility Rate, Kindergarten Readiness Rate.Economy Indicators: Households at 200% of the Poverty Line or Less, Median Household Income, Jobs, Unemployment Rate, Poverty Rate, Median Home Value.Livability Indicators: Cost Burden, Life Expectancy, Health, Uninsured rate, Crime, CrashesEnvironmental Health Indicators: NOxNOx- Diesel Emissions (Annual Tons/Km2), Ozone Concentration, PM2.5 Particulate Matter Concentration, Populations Near Heavy Traffic Roadways.Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbis_equityindex.html). Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).
Historical charging rate from 2009-2023, based on data available contemporaneous to the time of collection. Law enforcement refers cases to the Ramsey County Attorney’s Office (RCAO) based on the charge they believe is supported by the evidence they have gathered. These cases are reviewed by RCAO to determine if the charges are supported and appropriate. A charging rate is the percentage of files referred by law enforcement in a specific year that were charged with a crime through the justice system by RCAO.
The Division of Criminal Justice Services (DCJS) collects personnel statistics from more than 500 New York State police and sheriffs’ departments. In New York State, law enforcement agencies use the Uniform Crime Reporting (UCR) system to report their annual personnel counts to DCJS.
Polygon geometry with attributes displaying the recorded boundaries or lot lines of property in East Baton Rouge Parish, Louisiana.Metadata
This file details average daily census figures based on daily counts submitted by each jail to the State Commission of Correction. New York City jail population figures have been reported to the state since 2016, while data for the Non-New York City region and each county outside of the five boroughs are shown annually from 1997 onward. Data are presented in the following categories: Census, Boarded Out, Boarded In, In House, Sentenced, Civil, Federal, Technical Parole Violators, State Readies and Other Unsentenced.
All Police Reports filed by NOPD officers including incident and supplemental reports containing the item number, location, disposition, signal, charges, offender race, offender gender, offender age, victim age, victim gender, and victim race. Police Reports can be updated when subsequent information is determined as a result of an investigation. In order to protect the privacy of victims, addresses are shown at the block level. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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. For instance, the data contains ages that may be negative due to data entry errors. NOPD has chosen to publish the data as it exists in the source systems for transparency and has instituted data validation where appropriate to ensure quality data in the future. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
DATSET DESCRIPTION: This dataset details the type of search conducted on a subject during a motor vehicle traffic stop, as well as the criteria used by the officer for conducting the search.
GENERAL ORDERS RELATING TO THIS DATA: Both the federal and state Constitutions provide every individual with the right to be free from unreasonable searches and seizures. This order provides general guidelines for Austin Police Department personnel to consider when dealing with search and seizure issues.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER:
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The data provided is for informational use only and may differ from official Austin Police Department data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
The Austin Police Department as of January 1, 2019, become a Uniform Crime Reporting -National Incident Based Reporting System (NIBRS) reporting agency. Crime is reported by persons, property and society.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
This data set contains Saint George Police/Crime data from 1997 through 2018.
NJSP traffic stops January 1, 2011 to December 31, 2011 from OLEPS Traffic Stop Data Dashboard.
The number of summonses and arrests made by NYPD or MTAPD for fare evasion and other violations of the rules of conduct of the transit system.
This data set contains police, crime & incident reporting data from the Clinton City police department.
DC Index Crime incident locations. The dataset contains a subset of locations and attributes of incidents reported in the ASAP (Analytical Services Application) crime report database by the District of Columbia Metropolitan Police Department (MPD). Please visit http://crimemap.dc.gov for more information.
DATASET DESCRIPTION: When an officer finds it necessary to arrest an individual, such as upon witnessing a crime, having probable cause, or acting on a judge-issued arrest warrant, they are required to write an arrest report. The arrest report details the conditions of the arrest and directly pertains to the individual in question. Additionally, it includes specific details of the charges associated with the arrest.
GENERAL ORDERS RELATED TO ARRESTS Austin Police Department General Order 319 states, "This order outlines the guidelines for warrant and warrantless arrests. The following order cannot address every situation that an officer might encounter; however, in exercising arrest authority, officers should be guided by what is contained in this document. Nothing in this order should be interpreted as authorizing or restricting an officer's arrest authority as defined by the Code of Criminal Procedure."
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
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The data provided is for informational use only and may differ from official Austin Police Department data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
NJSP traffic stops January 1, 2018 and December 31, 2018 from OLEPS Traffic Stop Data Dashboard.
Since 1998, the New York City Police Department (NYPD) has been tasked with the collection and maintenance of crime data for incidents that occur in New York City public schools. The NYPD has provided this data to the New York City Department of Education (DOE). The DOE has compiled this data by schools and locations for the information of our parents and students, our teachers and staff, and the general public. In some instances, several Department of Education learning communities co-exist within a single building. In other instances, a single school has locations in several different buildings. In either of these instances, the data presented here is aggregated by building location rather than by school, since safety is always a building-wide issue. We use “consolidated locations” throughout the presentation of the data to indicate the numbers of incidents in buildings that include more than one learning community.
This data set contains Salem City Police Crime/Incident Data.
NJSP traffic stops January 1, 2009 to December 31, 2009 from OLEPS Traffic Stop Data Dashboard.
Average daily count statistics of adults and youth provide a representation of the typical custodial population within a particular year in Nova Scotia correctional facilities. Includes in-house counts only (i.e., excludes individuals on temporary absences, intermittent time served out of facility, etc.). Data source: Nova Scotia Department of Justice. Information in previous reports or other sources may differ from this publication due to modifications to counting methodologies.
NJSP traffic stops January 1, 2016 to December 31, 2016 from OLEPS Traffic Stop Data Dashboard.
All Police Reports filed by NOPD officers including incident and supplemental reports containing the item number, location, disposition, signal, charges, offender race, offender gender, offender age, victim age, victim gender, and victim race. Police Reports can be updated when subsequent information is determined as a result of an investigation. In order to protect the privacy of victims, addresses are shown at the block level. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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. For instance, the data contains ages that may be negative due to data entry errors. NOPD has chosen to publish the data as it exists in the source systems for transparency and has instituted data validation where appropriate to ensure quality data in the future. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
NJSP traffic stops January 1, 2015 to December 31, 2015 from OLEPS Traffic Stop Data Dashboard.
In 2014, the City of Edmonton contracted Leger to conduct a survey of Edmontonians designed to understand perceptions on key measures relating to the quality of life in Edmonton.
This research is aimed at capturing citizen perception based performance measures which feed into the corporate performance reporting to achieve the City’s vision for 2040 (The Way Ahead). In recent years, Citizen Perception Surveys have been carried out annually to gather data and report on the measures.
Taking into account the recent modifications in performance measures as well as the focus on continuous improvement, the 2014 research was designed to:
- Measure the progress with respect to the key performance measures
- Understand the drivers of the performance measures and provide recommendations about how the measures can be further improved.
- Make comparisons with past measures wherever applicable
NJSP traffic stops January 1, 2017 to December 31, 2017 from OLEPS Traffic Stop Data Dashboard.
Number and percentage of incidents of self-reported violence victimization that were reported to police in 2014 in the Atlantic Provinces. / Nombre et pourcentage d'incidents de violence déclarés par les victimes qui ont été signalés à la police en 2014 dans les provinces de l'Atlantique.
NJSP traffic stops January 1, 2012 to December 31, 2012 from OLEPS Traffic Stop Data Dashboard.
This dataset provides the average number of days to first appearance by court for serious and pending cases.
NJSP traffic stops January 1, 2014 to December 31, 2014 from OLEPS Traffic Stop Data Dashboard.
Terms of Use
Please read the terms of use below.
The National Institute of Justice (NIJ) adheres to codes of conduct that are generally accepted in higher education and scientific research for the exchange and proper use of knowledge and information.
These data are distributed under the following terms of use. By continuing past this point to the data retrieval process, you signify your agreement to comply with the requirements stated below:
Privacy and Confidentiality of Data
Any intentional identification of a individuals or unauthorized disclosure of his or her confidential information violates the promise of confidentiality given to the providers of the information. Therefore, users of data agree:
• To use these datasets solely for research or statistical purposes and not for investigation of specific individuals • To make no use of the identity of any individual discovered inadvertently, and to advise NIJ of any such discovery (NIJRecidivismChallenge@usdoj.gov)
Federal law and regulations require that research data collected by the U.S. Department of Justice or by its grantees and contractors may only be used for research or statistical purposes. The applicable laws and regulations may be found in the United States Code, 34 USC Section 10231(a), the Code of Federal Regulations, 28 CFR 22, and 62 F.R. 35044 (June 27, 1997) (The Federal Confidentiality Order). Accordingly, any intentional identification or disclosure of a person or establishment may violate federal law as well as the assurances of confidentiality given to the providers of the information. Therefore, users of this data must agree to abide by these regulations and understand that NIJ may report any potential violation to the appropriate entities within the U.S. Department of Justice.
NJSP traffic stops January 1, 2013 to December 31, 2013 from OLEPS Traffic Stop Data Dashboard.
Terms of Use
Please read the terms of use below.
The National Institute of Justice (NIJ) adheres to codes of conduct that are generally accepted in higher education and scientific research for the exchange and proper use of knowledge and information.
These data are distributed under the following terms of use. By continuing past this point to the data retrieval process, you signify your agreement to comply with the requirements stated below:
Privacy and Confidentiality of Data
Any intentional identification of a individuals or unauthorized disclosure of his or her confidential information violates the promise of confidentiality given to the providers of the information. Therefore, users of data agree:
• To use these datasets solely for research or statistical purposes and not for investigation of specific individuals • To make no use of the identity of any individual discovered inadvertently, and to advise NIJ of any such discovery (NIJRecidivismChallenge@usdoj.gov)
Federal law and regulations require that research data collected by the U.S. Department of Justice or by its grantees and contractors may only be used for research or statistical purposes. The applicable laws and regulations may be found in the United States Code, 34 USC Section 10231(a), the Code of Federal Regulations, 28 CFR 22, and 62 F.R. 35044 (June 27, 1997) (The Federal Confidentiality Order). Accordingly, any intentional identification or disclosure of a person or establishment may violate federal law as well as the assurances of confidentiality given to the providers of the information. Therefore, users of this data must agree to abide by these regulations and understand that NIJ may report any potential violation to the appropriate entities within the U.S. Department of Justice.
DISCLAIMER: This dataset may contain preliminary data that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. This dataset also excludes any records that would compromise the privacy of crime victims or the fidelity of ongoing investigations. Any information that could be used to uniquely identify a person or vehicle has also been excluded.
SUMMARY: This dataset contains information related to arrests for driving under the influence as recorded by the Vermont State Police between January 1, 2013 and the previous month. These data are extracted from the Vermont State Police records management system on a monthly basis. Each record is unique to an individual not an incident, so you may find multiple records with the same incident number in the dataset. This occurs when there is more than one individual associated with an incident. This particular dataset is made available in an effort to enhance the transparency of law enforcement activities in Vermont. Should you have questions about records in this dataset, please contact the specific law enforcement agency as they are each responsible for their own records. To access a summary page of this dataset, select the “About” tab on the right side of this page and scroll down to the attachments and click on the PDF document.
The Calgary Equity Index is a decision-making tool designed to measure equity in Calgary, based on a social determinant of health (SDOH) framework. The SDOH are the range of interacting social and economic conditions that influence people’s health and well-being. This index provides an equity lens to examine the ways in which social and economic conditions are experienced and distributed among populations. It will help the City examine where inequities exist in different areas. Information is available for 113 Community Service Areas (CSAs) across Calgary. The CSAs were created by combining two adjacent Census Tracts to reach a population of around 10,000. The CSAs are numbered from 1 to 113, and are displayed on the map.
DATASET DESCRIPTION Dataset provides the commendation number, the date the commendation was filed, and the completed status of the commendation.
GENERAL ORDERS RELATING TO AWARDS AND COMMENDATIONS Austin Police Department General Order 922 states, "Any employee, group of employees, or individual outside of the Department may initiate the creation of a personal commendation to honor an employee or group of employees for exceptional performance."
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
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The data provided is for informational use only and may differ from official Austin Police Department crime data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
3.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
For current version, see: https://data.sandiegocounty.gov/Live-Well-San-Diego/Live-Well-San-Diego-Database/wsyp-5xpf/about_data
This is the official Live Well San Diego database with the Top 10 Indicators and Expanded Indicators. Baseline data begins in 2009 where data available and continues through current day. Data is collected on an annual basis.
For definitions and sourcing, please use the Live Well San Diego Data Dictionary: https://data.sandiegocounty.gov/Live-Well-San-Diego/Live-Well-San-Diego-Data-Dictionary/remr-mk73
- indicates statistically unstable estimate.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services Division, Community Health Statistics Unit.
All Police Reports filed by NOPD officers including incident and supplemental reports containing the item number, location, disposition, signal, charges, offender race, offender gender, offender age, victim age, victim gender, and victim race. Police Reports can be updated when subsequent information is determined as a result of an investigation. In order to protect the privacy of victims, addresses are shown at the block level. Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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. For instance, the data contains ages that may be negative due to data entry errors. NOPD has chosen to publish the data as it exists in the source systems for transparency and has instituted data validation where appropriate to ensure quality data in the future. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
NJSP traffic stops January 1, 2010 to December 31, 2010 from OLEPS Traffic Stop Data Dashboard.
DISCLAIMER: This dataset may contain preliminary data that has not yet been verified and may be changed at a later date due to additional investigation. The data entry process may also include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. In addition, this dataset excludes any records that would compromise the privacy of crime victims or the fidelity of ongoing investigations. Any information that could be used to uniquely identify a person or vehicle has also been excluded.
| SUMMARY: This dataset contains information related to traffic stops conducted by the Vermont State Police in 2016. These data are extracted from the Vermont State Police records management system on a yearly basis. This particular dataset is made available in an effort to highlight and address both real and perceived concerns of biased policing. Should you have questions about this dataset, you may contact Scott Waterman at the Vermont State Police (802-241-5312 | scott.waterman@vermont.gov). |
Summary of social media statistics and metrics for the City of Corona's Nextdoor account. Data is provided by Sprout Social, a social media monitoring tool. Update Frequency: Monthly Data Disclaimer: The City Of Corona (“Corona”) provides data available on this website as a service to the public. The data provided by Corona is based on historical data, information directly provided by Corona, information directly provided by Corona contractors and in some cases, information acquired during physical inspections. Corona does not guarantee the accuracy of this data and assumes no liability for any errors. The data shall be used for the sole purpose of providing the public with information regarding this program and not for any commercial, legal or other use. Corona assumes no liability for any decisions made or action taken or not taken by anyone using data provided from this website. Corona reserves the right to alter, amend or terminate at any time the display of this data.
The Pierce County Equity Index data highlights opportunities to improve equitable access and outcomes for residents of Pierce County. This Index includes an overall Opportunity Index rating which is made up of five categories (Livability, Accessibility, Economy, Education, and Environmental Health), and 32 individual data points. The data is presented in the Pierce County Equity Index web application (www.piercecountywa.gov/equityindex). Accessibility Indicators: Average Road Quality, Transit, Internet and Library Access, Parks & Open Spaces, Voter Participation, Retail Services, Household Vehicle Access and Healthily Food Availability. Education Indicators: High School Graduation Rate, 25 Age+ with Bachelors' Degree or More, Average Test Proficiency, Average Student Mobility Rate, Kindergarten Readiness Rate.Economy Indicators: Households at 200% of the Poverty Line or Less, Median Household Income, Jobs, Unemployment Rate, Poverty Rate, Median Home Value.Livability Indicators: Cost Burden, Life Expectancy, Health, Uninsured rate, Crime, CrashesEnvironmental Health Indicators: NOxNOx- Diesel Emissions (Annual Tons/Km2), Ozone Concentration, PM2.5 Particulate Matter Concentration, Populations Near Heavy Traffic Roadways.Please read metadata for additional information (https://matterhorn.co.pierce.wa.us/GISmetadata/pdbis_equityindex.html). Any use or data download constitutes acceptance of the Terms of Use (https://matterhorn.co.pierce.wa.us/Disclaimer/PierceCountyGISDataTermsofUse.pdf).
Terms of Use
Please read the terms of use below.
The National Institute of Justice (NIJ) adheres to codes of conduct that are generally accepted in higher education and scientific research for the exchange and proper use of knowledge and information.
These data are distributed under the following terms of use. By continuing past this point to the data retrieval process, you signify your agreement to comply with the requirements stated below:
Privacy and Confidentiality of Data
Any intentional identification of a individuals or unauthorized disclosure of his or her confidential information violates the promise of confidentiality given to the providers of the information. Therefore, users of data agree:
• To use these datasets solely for research or statistical purposes and not for investigation of specific individuals • To make no use of the identity of any individual discovered inadvertently, and to advise NIJ of any such discovery (NIJRecidivismChallenge@usdoj.gov)
Federal law and regulations require that research data collected by the U.S. Department of Justice or by its grantees and contractors may only be used for research or statistical purposes. The applicable laws and regulations may be found in the United States Code, 34 USC Section 10231(a), the Code of Federal Regulations, 28 CFR 22, and 62 F.R. 35044 (June 27, 1997) (The Federal Confidentiality Order). Accordingly, any intentional identification or disclosure of a person or establishment may violate federal law as well as the assurances of confidentiality given to the providers of the information. Therefore, users of this data must agree to abide by these regulations and understand that NIJ may report any potential violation to the appropriate entities within the U.S. Department of Justice.
This project is part of a larger plan to transfer commonly requested TJJD data onto the Texas Open Data Portal. This will allow for greater efficiency in sharing publicly available information and answering Public Information Requests (PIRs). County-level referral data is the source for most statistics in the “State of Juvenile Probation Activity in Texas” Report, which is published yearly. This report “provides information regarding the magnitude and nature of juvenile criminal activity and the juvenile probation system's response. This information is offered to assist the state's effort in improving the juvenile justice system and reducing juvenile crime in Texas” (State of Juvenile Probation Activity in Texas, 2020).
Data Description: This dataset contains information on the Cincinnati Health Department's (CHD) Creating Healthy Communities Coalition (CHCC). Creating Health Communities is an Ohio Department of Health (ODH) program. This dataset has the location and estimated number of people impacted by CHCC activities implemented in 2015-2017. For more information, visit https://www.cincinnati-oh.gov/health/cincinnati-health-department-divisions1/environmental-health/health-promotion-worksite-wellness/
Disclaimers: The CHCC dashboard includes data from outside the city limits, including Northern Kentucky, Hamilton County, Columbus area, and Dayton area, for the following measures: UDF Healthy Food Retail, Produce Perks, and Tobacco Free Policies.
A residential population may be impacted by multiple PSE changes, due to the location of various PSE changes. For example, in 2015 the Stanley Rowe Senior Citizens population was impacted by a Crime Prevention Through Environmental Design PSE change. The same population was impacted again in 2016 with a Smoke-free Policy change.
Data Creation: The Cincinnati Health Department provides updates on each CHCC activity impacting Cincinnati residents
Data Created By: Cincinnati Health Department
Refresh Frequency: 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/5ygy-4y6j
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
This dataset reflects the monthly number of employee-reported incidents of workplace violence, as defined by New York State Labor Law Section 27-B, against on-duty MTA employees. This dataset divides workplace violence incidents into groupings as reported pursuant to New York State Labor Law Section 27-B. The same data is available in the MTA Workplace Violence Penal Law Incidents dataset, which divides the data according to New York State Penal Law Related Offenses.
DISCLAIMER: This dataset may contain preliminary data that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. This dataset also excludes any records that would compromise the privacy of crime victims or the fidelity of ongoing investigations. Any information that could be used to uniquely identify a person or vehicle has also been excluded.
SUMMARY: This dataset contains information related to fatal traffic crashes reported by the Vermont State Police between January 1, 2010 and the prior month to date. These data are extracted from the Vermont Agency of Transportation’s electronic crash reporting system on a monthly basis. This particular dataset is made available in an effort to highlight the dangerous nature of Vermont highways, and that nearly half of all traffic fatalities since 2010 were unbuckled. Should you have questions about this dataset, please contact the Vermont Agency of Transportation at 802-828-2657. To access a summary page of this dataset, select the “About” tab on the right side of this page and scroll down to the attachments and click on the PDF document.
This dataset provides key performance indicators for several agencies disaggregated by community district, police precinct, borough or school district. Each line of data indicates the relevant agency, the indicator, the type of geographic subunit and number, and full fiscal year data points. This data is submitted by the relevant agency to the Mayor’s Office of Operations on an annual basis and is available on Operations’ website.
For the latest available information, please refer to the Mayor's Management Report - Agency Performance Indicators dataset.
The Motor Vehicle Collisions crash table contains details on the crash event. Each row represents a crash event. The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.For the most accurate, up to date statistics on traffic fatalities, please refer to the NYPD Motor Vehicle Collisions page (updated weekly) or Vision Zero View (updated monthly).
Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.
List of Neighborhood and Rural Preservation Program companies including the organization name and service area description. New York State Homes and Community Renewal (HCR) provides financial support for these community-based housing organizations to perform housing and community renewal activities statewide. These organizations provide assistance including, but not limited to, housing rehabilitation, home buyer counseling, tenant counseling, landlord/tenant mediation, community rehabilitation and renewal, crime watch programs, employment programs, legal assistance, and Main Street Development.
The Division of Criminal Justice Services (DCJS) collects information regarding Probationers Under Supervision from New York City Probation and the 57 county probation departments outside New York City. This datasets shows the number of probationers, by county, by conviction category and by type of offense.
The Calgary Equity Index is a decision-making tool designed to measure equity in Calgary, based on a social determinant of health (SDOH) framework. The SDOH are the range of interacting social and economic conditions that influence people’s health and well-being. This index provides an equity lens to examine the ways in which social and economic conditions are experienced and distributed among populations. It will help the City examine where inequities exist in different areas. Information is available for 113 Community Service Areas (CSAs) across Calgary. The CSAs were created by combining two adjacent Census Tracts to reach a population of around 10,000. The CSAs are numbered from 1 to 113, and are displayed on the map.
All Police Reports filed by NOPD officers including incident and supplemental reports containing the item number, location, disposition, signal, charges, offender race, offender gender, offender age, victim age, victim gender, and victim race. Police Reports can be updated when subsequent information is determined as a result of an investigation. In order to protect the privacy of victims, addresses are shown at the block level.
Disclaimer: The New Orleans Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The New Orleans 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. For instance, the data contains ages that may be negative due to data entry errors. NOPD has chosen to publish the data as it exists in the source systems for transparency and has instituted data validation where appropriate to ensure quality data in the future. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The New Orleans 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 New Orleans or New Orleans Police Department web page. The user specifically acknowledges that the New Orleans 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 "New Orleans Police Department," "NOPD," or any colorable imitation of these words or the unauthorized use of the New Orleans Police Department logo is unlawful. This web page does not, in any way, authorize such use.
Conducted by National Service Research. Participants rated various city services, quality of life issues, community characteristics, and project priorities.
This dataset provides the number of cases by location, type of case volume and the proportion below the 98-day target.
Data on overall satisfaction with City services; satisfaction with individual services; recommendations for Edmonton as a place to live, work and visit.
D1 to B11 - Demographic information.
B1 - Overall satisfaction with City services.
B2_0 to B2_2 - Recommending Edmonton.
B8_0 to B8_13 - Satisfaction with each service area.
Indicate your level of satisfaction with the way in which the various services are currently being delivered by the city.
RESPONSE for B1 to B2_2 and B8_0 to B8_13
- Very Satisfied
- Moderately satisfied
- Moderately dissatisfied
- Very dissatisfied
- Not sure
- Do not use this service
- SURVEY at http://www.edmonton.ca/budgetconsultation
***This dataset has been deprecated. Cambridge now maintains a single Computer Aided Dispatch open dataset that includes data from multiple years, including 2015.
The Computer Aided Dispatch (CAD) Entries data set reflects information approved for general release by the Cambridge Police Department and the Cambridge Fire Department. All entries are inputted by dispatchers in the Emergency Communications Center (ECC). This data set does not reflect all events received by the ECC. Certain entries are not included due to concerns related to privacy, criminal investigation, or protected data. Additionally, not all entries reflect a dispatched response and some data may reflect a duplicate entry for a specific incident. This dataset does not include any first responder calls related to emergency medical services (EMS), and does not contain all police or fire entries.
The Computer Aided Dispatch (CAD) Entries data set reflects information approved for general release by the Cambridge Police Department and the Cambridge Fire Department. All entries are inputted by dispatchers in the Emergency Communications Center (ECC). This data set does not reflect all events received by the ECC. Certain entries are not included due to concerns related to privacy, criminal investigation, or protected data. Additionally, not all entries reflect a dispatched response and some data may reflect a duplicate entry for a specific incident. This dataset does not include any first responder calls related to emergency medical services (EMS), and does not contain all police or fire entries.
Pedestrian Stop records from the City of Urbana, since the IDOT Pedestrian Stop Sheet collection began in 2016 until February 2023, when the computer system changed. This dataset has one row per person, because one incident could include multiple people.
The Motor Vehicle Collisions person table contains details for people involved in the crash. Each row represents a person (driver, occupant, pedestrian, bicyclist,..) involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system.
The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.
Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.
Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. To provide services for at-risk children, youth, and families.
Community Youth Development (CYD) - The CYD program contracts services in 15 targeted Texas ZIP codes with community-based organizations to develop juvenile delinquency prevention programs in areas with high juvenile crime rates. Approaches used by communities to prevent delinquency include mentoring, youth employment programs, career preparation, youth leadership development and recreational activities. Communities prioritize and fund specific prevention services according to local needs.
Family and Youth Success Program (FAYS) (Formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, individual and family counseling, and universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes in all counties in Texas. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. In FY2018, contracts for the FAYS program were re-procured and started on December 1, 2017. Under these contracts, families could be served through traditional FAYS services or through one-time focused skills training. In some cases, families participating in skills training also chose to enroll in traditional FAYS services. Programmatically, these families are counted uniquely in both programs; for DFPS Data Book purposes, they are reported unduplicated.
Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region.
Data as of December 11, 2024.
Please visit dfps.texas.gov to learn more about PEI and all DFPS programs.
This Dataset complies with one of the (REIN) Racial and Equity Impact Notes: SG § 2-1261 (a) On or before October 31 each year, the Department of Public Safety and Correctional Services shall submit to the Department, in the form of electronic raw data, de-identified and disaggregated by age, race, and sex, information required to be reported to the Governor in accordance with § 3-207(a)(2) of the Correctional Services Article.
MD. Correctional Services Code § 3-207(a)(2) number of inmates and each inmate’s age, sex, race, place of birth and conviction, crime, and term of confinement;
This dataset consists of assignments of all civil, criminal, business, and family court cases in the Fulton County Superior Court, from 1992-01-01 to present. Information provided on each case includes the case number, case type (e.g., non-complex felony, capital felony), the date filed, the date assigned, the judge assigned, the current status (e.g. open, closed), and flags indicating whether the defendant is in jail and whether the assignment is current (or the last assignment in the case of closed cases).
Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. To provide services for at-risk children, youth, and families.
Community Youth Development (CYD) - The CYD program contracts services in 15 targeted Texas ZIP codes with community-based organizations to develop juvenile delinquency prevention programs in areas with high juvenile crime rates. Approaches used by communities to prevent delinquency include mentoring, youth employment programs, career preparation, youth leadership development and recreational activities. Communities prioritize and fund specific prevention services according to local needs.
Family and Youth Success Program (FAYS) (Formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, individual and family counseling, and universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes in all counties in Texas. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. In FY2018, contracts for the FAYS program were re-procured and started on December 1, 2017. Under these contracts, families could be served through traditional FAYS services or through one-time focused skills training. In some cases, families participating in skills training also chose to enroll in traditional FAYS services. Programmatically, these families are counted uniquely in both programs; for DFPS Data Book purposes, they are reported unduplicated.
Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region.
The Division of Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. Consolidation of these programs is intended to eliminate fragmentation and duplication of contracted prevention and early intervention services for at-risk children, youth, and families:
Community Youth Development (CYD) - The CYD program contracts with community-based organizations to develop juvenile delinquency prevention programs in ZIP codes with high juvenile crime rates. Approaches used by communities to prevent delinquency have included mentoring, youth employment programs, career preparation, youth leadership development and recreational activities. Communities prioritize and fund specific prevention services according to local needs. CYD services are available in 15 targeted Texas ZIP codes.
Family and Youth Success Program (FAYS) (formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, and individual and family counseling. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. FAYS services are available in all 254 Texas counties. Each FAYS contractor also provides universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes.
Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region.
NOTE: For FY15, as a result of a new procurement, the overall number of youth served decreased however the service requirements were enhanced with additional programmatic components.
Data as of December 11, 2024.
DATASET DESCRIPTION This dataset contains offense incidents where any physical contact with a subject was made by an officer using the body or any object, device, or weapon, not including un-resisted escorting or handcuffing a subject. Any complaint by a subject that an officer caused pain or injury shall be treated as a use of force incident, except complaints of minor discomfort from un-resisted handcuffing.
A response to resistance report is measured as a single subject officer interaction on a single case. A subject resistance may result in multiple types of force applied by an officer or multiple officers. Accordingly, the types of force used can be more than the total reports of response to resistance.
GENERAL ORDERS RELATING TO THIS DATA It is the policy of this department that officers use only that amount of objectively reasonable force which appears necessary under the circumstances to successfully accomplish the legitimate law enforcement purpose in accordance with this policy.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
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The data provided is for informational use only and may differ from official Austin Police Department crime data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
APD Data Dictionary - https://data.austintexas.gov/Public-Safety/APD-Data-Dictionary/6w8q-suwv/about_data
This information will not be updated while the Cincinnati Police Department undergoes transfer to a new data management system.
Data Description: This data represents documented assaults on officers. Assaults on Officers may be defined as the assault of duly sworn city, university and college, county, state, tribal, and federal law enforcement officers. Incidents that are identified as an assault on an officer can include but are not limited to crimes such as aggravated assault, robbery, theft, vandalism, targeted assault (knowingly harming and officer), and recklessly harming an officer.
Data Creation: This data is recorded using the City's Record 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 information will not be updated while the Cincinnati Police Department undergoes transfer to a new data management system.
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/mrju-z9ui
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.
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.
This is the official Live Well San Diego database with the Top 10 Indicators and Expanded Indicators. Baseline data begin in 2012 where data are available and continue through current day. Data are collected on an annual basis.
For definitions and sourcing, please use the Live Well San Diego Data Dictionary: https://data.sandiegocounty.gov/Live-Well-San-Diego/Live-Well-San-Diego-Data-Dictionary/37vr-nftn/about_data
Prepared by: County of San Diego, Health and Human Services Agency, Public Health Services Division, Community Health Statistics Unit.
DISCLAIMER: This dataset may contain preliminary data that has not yet been verified and may be changed at a later date due to additional investigation. Additionally, the data entry process may include mechanical and/or human errors. Therefore, the Vermont State Police does not guarantee the accuracy, completeness, timeliness, or correct sequencing of the information. This dataset also excludes any records that would compromise the privacy of crime victims or the fidelity of ongoing investigations. Any information that could be used to uniquely identify a person or vehicle has also been excluded.
SUMMARY: This dataset contains information related to arrests for driving under the influence as recorded by the Vermont State Police between January 1, 2013 and the present day. These data are extracted from the VSP records management system on a monthly basis. Each record is unique to an individual not an incident, so you may find multiple records with the same incident number in the dataset. This occurs when there is more than one individual associated with an incident. This particular dataset is made available in an effort to enhance the transparency of law enforcement activities in Vermont. Should you have questions about records in this dataset, please contact the specific law enforcement agency as they are each responsible for their own records. To access a summary page of this dataset, select the “About” tab on the right side of this page and scroll down to the attachments and click on the PDF document.
ETC Institute administered a survey to resident of the City of Henderson. The purpose of the survey was to gather information on residents’ level of satisfaction with City services and to gather residents’ opinions regarding various other topics. Input received will be used to help City leaders know where they are doing well and where they can improve; to make certain they are making decisions that align to the needs of residents and prioritizing services that will positively impact the community.
The Division of Prevention and Early Intervention (PEI) was created to consolidate child abuse prevention and juvenile delinquency prevention and early intervention programs within the jurisdiction of a single state agency. Consolidation of these programs is intended to eliminate fragmentation and duplication of contracted prevention and early intervention services for at-risk children, youth, and families:
Community Youth Development (CYD) - The CYD program contracts with community-based organizations to develop juvenile delinquency prevention programs in ZIP codes with high juvenile crime rates. Approaches used by communities to prevent delinquency have included mentoring, youth employment programs, career preparation, youth leadership development and recreational activities. Communities prioritize and fund specific prevention services according to local needs. CYD services are available in 15 targeted Texas ZIP codes.
Family and Youth Success Program (FAYS) (formerly Services to At-Risk Youth (STAR)) - The FAYS program contracts with community agencies to offer family crisis intervention counseling, short- term emergency respite care, and individual and family counseling. Youth up to age 17 and their families are eligible if they experience conflict at home, truancy or delinquency, or a youth who runs away from home. FAYS services are available in all 254 Texas counties. Each FAYS contractor also provides universal child abuse prevention services, ranging from local media campaigns to informational brochures and parenting classes.
Statewide Youth Services Network (SYSN) - The SYSN program contracts provide community and evidence-based juvenile delinquency prevention programs focused on youth ages 10 through 17, in each DFPS region.
NOTE: For FY15, as a result of a new procurement, the overall number of youth served decreased however the service requirements were enhanced with additional programmatic components.
Data as of December 11, 2024.
This dataset reflects the number and percentage of subway trains delayed per weekday based on scheduled service, broken down into specific delay categories.
The Motor Vehicle Collisions vehicle table contains details on each vehicle involved in the crash. Each row represents a motor vehicle involved in a crash. The data in this table goes back to April 2016 when crash reporting switched to an electronic system.
The Motor Vehicle Collisions data tables contain information from all police reported motor vehicle collisions in NYC. The police report (MV104-AN) is required to be filled out for collisions where someone is injured or killed, or where there is at least $1000 worth of damage (https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/ny_overlay_mv-104an_rev05_2004.pdf). It should be noted that the data is preliminary and subject to change when the MV-104AN forms are amended based on revised crash details.
Due to success of the CompStat program, NYPD began to ask how to apply the CompStat principles to other problems. Other than homicides, the fatal incidents with which police have the most contact with the public are fatal traffic collisions. Therefore in April 1998, the Department implemented TrafficStat, which uses the CompStat model to work towards improving traffic safety. Police officers complete form MV-104AN for all vehicle collisions. The MV-104AN is a New York State form that has all of the details of a traffic collision. Before implementing Trafficstat, there was no uniform traffic safety data collection procedure for all of the NYPD precincts. Therefore, the Police Department implemented the Traffic Accident Management System (TAMS) in July 1999 in order to collect traffic data in a uniform method across the City. TAMS required the precincts manually enter a few selected MV-104AN fields to collect very basic intersection traffic crash statistics which included the number of accidents, injuries and fatalities. As the years progressed, there grew a need for additional traffic data so that more detailed analyses could be conducted. The Citywide traffic safety initiative, Vision Zero started in the year 2014. Vision Zero further emphasized the need for the collection of more traffic data in order to work towards the Vision Zero goal, which is to eliminate traffic fatalities. Therefore, the Department in March 2016 replaced the TAMS with the new Finest Online Records Management System (FORMS). FORMS enables the police officers to electronically, using a Department cellphone or computer, enter all of the MV-104AN data fields and stores all of the MV-104AN data fields in the Department’s crime data warehouse. Since all of the MV-104AN data fields are now stored for each traffic collision, detailed traffic safety analyses can be conducted as applicable.
The City of Bloomington contracted with National Research Center, Inc. to conduct the 2023 Bloomington Community Survey. This is the fourth time a scientific citywide survey has been completed covering resident opinions on service delivery satisfaction by the City of Bloomington and quality of life issues.
The 2023 survey received responses from 367 households (from a scientific sample of 3,000) and an additional 557 residents completed the opt-in survey. Read more at: bton.in/LWVOR.
NOTE: The City of Chicago ended its use of ShotSpotter on 9/22/2024. This dataset is historical-only and ends with that date.
This dataset contains all ShotSpotter alerts since the introduction of ShotSpotter to some Chicago Police Department (CPD) districts in 2017. ShotSpotter is a gunshot detection system designed to automatically determine the location of potential outdoor gunfire. ShotSpotter audio sensors are placed in several CPD districts throughout the city (specific districts are noted below). If at least three sensors detect a sound that the ShotSpotter software determines to be potential gunfire, a location is determined and the alert is sent to human ShotSpotter analysts for review. Either the alert is sent to CPD, or it is dismissed. Each alert can contain multiple rounds of gunfire; sometimes there are multiple alerts for what may be determined to be one incident. More detail on the technology and its accuracy can be found on the company’s website here. It should also be noted that ShotSpotter alerts may increase year-over-year while gun violence did not necessarily increase accordingly because of improvements in detection sensors.
ShotSpotter does not exist in every CPD district, and it was not rolled out in every district at the same time. ShotSpotter was first deployed in Chicago in 2017, and sensors exist in the following districts as of the May 2021 launch of this dataset: 002, 003, 004, 005, 006, 007, 008, 009, 010, 011, 015, and 025.
DATASET DESCRIPTION This dataset contains information on both 911 calls (usually referred to as Calls for Service or Dispatched Incidents) and officer-initiated incidents recorded in the Computer Aided Dispatch (CAD) system. These are differentiated by the Incident Type field, defined below.
This data excludes records that were cancelled after being identified as duplicates of the same incident, such as when two 911 calls are made for the same incident. It also excludes records that were cancelled because they were handled by another agency such as Austin Fire or Austin-Travis County Emergency Medical Services or because they were found to not require a police response.
GENERAL ORDERS RELATING TO THIS DATA: The Department has a responsibility to protect life and property and to provide service to the residents of Austin. To fulfill this obligation it must provide an appropriate response to calls.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
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The data provided is for informational use only and may differ from official Austin Police Department crime data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
City of Austin Open Data Terms of Use - https://data.austintexas.gov/stories/s/ranj-cccq
This dataset represents the information the Colorado Springs Police Department (CSPD) was required to report to the State of Colorado Division of Criminal Justice after an officer involved shooting. It is important to note the State of Colorado developed the options for each data field; these multiple choice items were not created by CSPD. Data provided for people categorized as "suspects" in these incidents. CSPD has chosen at this time to continue to update this information even though CSPD no longer has the requirement to report this information in this way. The data collection and reporting was required for the time period 1/1/2010 to 6/30/2020. Law enforcement agencies will have the responsibility to collect and report different use of force information effective 7/1/2023.
This data set contains citizen satisfaction survey results. The citizen survey is administered on a quarterly basis. See the report by visiting https://data.kcmo.org/dataset/2013-14-Kansas-City-Missouri-Citizen-Satisfaction-/m8hg-mhad.
This dataset includes motor vehicle crashes reported to the Denver Police Department, that occurred within the City and County of Denver and during the previous five calendar years plus the current year to date. The data are dynamic, which allows for additions, deletions and/or modifications at any time, resulting in more accurate information in the database. Due to continuous data entry, the number of records in subsequent extractions are subject to change. General variable descriptions can be found below within the downloadable file, Metadata.xml. For additional information, please review the Colorado Investigating Officer's Traffic Accident Reporting Manual, available online.
The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures.
This file contains estimates and standard errors for the baseline and final years for individual population groups used in the Overview of Health Disparities analysis. The number and definitions of population groups varied across the HP2020 objectives and data sources used. These population groups are shown in the disparities file as originally reported by the data source, rather than the harmonized categories that were used for the HP2020 Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). Additionally, for any given objective, the baseline and final years used for the disparities analysis do not necessarily correspond to the baseline and final years used to evaluate progress toward target attainment in the HP2020 Final Review Progress Table (https://www.cdc.gov/nchs/healthy_people/hp2020/progress-tables.htm) and Progress by Population Group analysis (https://www.cdc.gov/nchs/healthy_people/hp2020/population-groups.htm). These distinctions should be considered when merging the downloadable Progress Table or Progress by Population Group data files with the Overview of Health Disparities data files, or when integrative analyses that incorporate both disparities and progress data are conducted.
Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).
This was one single topic among many from the November 2017 Mixed Topic Part 1 survey. To view the survey questions, click on the following link:
https://www.edmontoninsightcommunity.ca/R.aspx?a=1990&as=ZC4sh3q1eh&t=1
Open from November 14 - 22, 2017.
At the time the survey was launched survey invitations were sent to 7,062 Insight Community Members. 1,882 members completed the survey which represents a completion rate of 27%. A total of 1,908 respondents completed the survey: 1,882 Insight Community Members and 22 using the anonymous link(s) which will have no demographic info.
Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).
PDRs Prior to using "City of Seattle Public Records Request Center"
These data contain the results of several local district investigations initiated by flagged cases of the State’s cash public assistance programs, and the Supplemental Nutrition Assistance Program (SNAP).
This was one single topic among several from the November 2018 Mixed Topic survey. To view the survey questions, click on the following link:
https://www.edmontoninsightcommunity.ca/c/a/5bXxA20u7SX96Y3PUC1tGM?t=1
Open from November 13 - 20, 2018.
At the time the survey was launched survey invitations were sent to 9,793 Insight Community Members. 2,180 members completed the survey which represents a completion rate of 22%. A total of 2,193 respondents completed the survey: 2,180 Insight Community Members and 6 from the call to action button on our webpage and 7 using the anonymous link(s) on edmonton.ca/surveys which will have no demographic information.
Column definitions can be found as an attachment to this dataset (under the About option, in the Attachment section).
Historical results of Dangerous Dogs in Pennsylvania. A dangerous dog is one that has:
(1) Inflicted severe injury on a human being without provocation on public or private property.
(2) Killed or inflicted severe injury on a domestic animal, dog or cat without provocation while off the owner’s property.
(3) Attacked a human being without provocation.
(4) Been used in the commission of a crime.
And the dog has either or both of the following:
(1) A history of attacking human beings and/or domestic animals, dogs or cats without provocation.
(2) A propensity to attack human beings and/or domestic animals, dogs or cats without provocation.
*A propensity to attack may be proven by a single incident.
Severe injury is defined as, [3 P.S. § 459-102] “Any physical injury that results in broken bones or disfiguring lacerations requiring multiple sutures or cosmetic surgery.” More information can be found here - https://www.agriculture.pa.gov/Animals/DogLaw/Dangerous%20Dogs/Pages/default.aspx
More information on Chapter 27 Regulations - https://www.agriculture.pa.gov/Animals/DogLaw/Dangerous%20Dogs/Documents/Chapter%2027%20Dangerous%20Dogs.pdf
PDF's for Chapter 27 and Pennsylvania Dog Laws are attached to the metadata
This data set contains count data on intimate partner elder abuse incidents, crimes and services provided to elder abuse survivors at the New York City Family Justice Center (FJC).
All 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.
In 2014, the City of Edmonton contracted Leger to conduct a survey of Edmontonians designed to understand perceptions on key measures relating to the quality of life in Edmonton.
This research is aimed at capturing citizen perception based performance measures which feed into the corporate performance reporting to achieve the City’s vision for 2040 (The Way Ahead). In recent years, Citizen Perception Surveys have been carried out annually to gather data and report on the measures.
Taking into account the recent modifications in performance measures as well as the focus on continuous improvement, the 2014 research was designed to:
- Measure the progress with respect to the key performance measures
- Understand the drivers of the performance measures and provide recommendations about how the measures can be further improved.
- Make comparisons with past measures wherever applicable
This dataset includes the raw results from the City of Gainesville 2020 Neighborhood Survey. Please view the survey, given here: https://tinyurl.com/CoGNeighborSurvey for reference to columns within this dataset. Responses of "9" for questions on a 1-5 scale indicate a non-response or a response of "Don't know".
PLEASE NOTE: This is an index of a historical collection that contains words and phrases that may be offensive or harmful to individuals investigating these records. In order to preserve the objectivity and historical accuracy of the index, State Archives staff took what would today be considered archaic and offensive descriptions concerning race, ethnicity, and gender directly from the original court papers. For more information on appropriate description, please consult the Diversity Style Guide and Archives for Black Lives in Philadelphia: Anti-Racist Description Resources.
The Litchfield County Court African Americans and Native Americans Collection is an artificial collection consisting of photocopies of cases involving persons of African descent and indigenous people from the Files and Papers by Subject series of Litchfield County Court records. This collection was created in order to highlight the lives and experiences of underrepresented groups in early America, and make them more easily accessible to researchers.
Collection Overview
The collection consists of records of 188 court cases involving either African Americans or Native Americans. A careful search of the Files for the Litchfield County Court discovered 165 on African Americans and 23 on Native Americans, about one third of the total that was found in Files for the New London County Court for the period up to the American Revolution. A couple of reasons exist for this vast difference in numbers. First, Litchfield County was organized much later than New London, one of Connecticut's four original counties. New London was the home of four of seven recognized tribes, was a trading center, and an area of much greater wealth. Second, minority population in the New London County region has been tracked and tabulated by Barbara Brown and James Rose in Black Roots of Southeastern Connecticut.1 Although this valuable work does not include all of Negro or Indian background, it provides a wonderful starting point and it has proven to be of some assistance in tracking down minorities in Litchfield County. In most instances, however, identification is based upon language in the documents and knowledge of surnames or first names.2 Neither surname nor first name provides an invariably reliable guide so it is possible that some minorities have been missed and some persons included that are erroneous.
In thirteen of 188 court cases, the person of African or Native American background cannot be identified even by first name. He or she is noted as "my Negro," a slave girl, or an Indian. In twenty-three lawsuits, a person with a first name is identified as a Negro, as an Indian in two other cases, and Mulatto in one. In the remaining 151 cases, a least one African American or Native American is identified by complete name.3 Thirteen surnames recur in three or more cases.4 A total of seventy surnames, some with more than one spelling, are represented in the records.
The Jacklin surname appears most frequently represented in the records. Seven different Jacklins are found in eighteen cases, two for debt and the remaining sixteen for more serious crimes like assault, breach of peace, keeping a bawdy house, and trespass.5 Ten cases concern Cuff Kingsbury of Canaan between 1808 and 1812, all involving debts against Kingsbury and the attempts of plaintiffs to secure writs of execution against him. Cyrus, Daniel, Ebenezer, Jude, Luke, Martin, Nathaniel, Pomp, Titus, and William Freeman are found in nine cases, some for debt, others for theft, and one concerning a petition to appoint a guardian for aged and incompe
This was one single topic among many as part of the July 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=417&t=1. Open from July 13 - 21, 2015. At the time the survey was launched survey invitations were sent to 3130 Insight Community Members. 1296 members completed the survey which represents a completion rate of 41%. A total of 1348 respondents completed the survey: 1296 Insight Community Members and 52 using the anonymous link which will have no demographic info.
Every two years, the City of Somerville sends the Somerville Happiness Survey to a random sample of Somerville residents. The survey asks residents to rate their personal happiness, wellbeing, and satisfaction with City services. This combined dataset includes random-sample survey results from 2011 to 2023, including all 2023 questions with applicable responses from previous years. A data dictionary, exploratory visualization, and survey instruments are attached.
Data Description: This data represents reported threats or assaults on officers. Assaults on officers may be defined as the assault of duly sworn city, university and college, county, state, tribal, and federal law enforcement officers. Incidents that are identified as an assault on an officer can include but are not limited to crimes such as aggravated assault, robbery, theft, vandalism, targeted assault (knowingly harming and officer), and recklessly harming an officer.
Data Creation: This data is recorded using the City's Record 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 information will not be updated while the Cincinnati Police Department undergoes transfer to a new data management system.
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/mrju-z9ui
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.
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.
[1] The Progress by Population Group analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included subsets of the 1,111 measurable HP2020 objectives that have data available for any of six broad population characteristics: sex, race and ethnicity, educational attainment, family income, disability status, and geographic location. Progress toward meeting HP2020 targets is presented for up to 24 population groups within these characteristics, based on objective data aggregated across HP2020 topic areas. The Progress by Population Group data are also available at the individual objective level in the downloadable data set. [2] The final value was generally based on data available on the HP2020 website as of January 2020. For objectives that are continuing into HP2030, more recent data will be included on the HP2030 website as it becomes available: https://health.gov/healthypeople. [3] For more information on the HP2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/statnt/statnt27.pdf. [4] Status for objectives included in the HP2020 Progress by Population Group analysis was determined using the baseline, final, and target value. The progress status categories used in HP2020 were:
a. Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target (the percentage of targeted change achieved was equal to or greater than 100%); (ii) The baseline and most recent values were equal to or exceeded the target (the percentage of targeted change achieved was not assessed).
b. Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.
c. Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.
d. Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.
NOTE: Measurable objectives had baseline data. SOURCE: National Center for Health Statistics, Healthy People 2020 Progress by Population Group database.
This was survey sent to the Insight Community in conjunction with a telephone survey performed to gauge residents thoughts on the City and how they think about their city. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=182&as=yN1J0gu9Dz&t=1. Open from January 26 - February 04, 2015. At the time the survey was launched survey invitations were sent to 2215 Insight Community Members. 1127 members completed the survey which represents a completion rate of 51%. A total of 1284 respondents completed the survey: 1127 Insight Community Members and 157 using the Open link.
The Overview of Health Disparities analysis is a component of the Healthy People 2020 (HP2020) Final Review. The analysis included 611 objectives in HP2020. This file contains summary level information used for the evaluation of changes in disparities during HP2020, including calculations for the disparities measures and the disparities change categories for all objectives and population characteristics in the analysis. See Technical Notes for the Healthy People 2020 Overview of Health Disparities (https://www.cdc.gov/nchs/healthy_people/hp2020/health-disparities-technical-notes.htm) for additional information and criteria for objectives, data years, and population characteristics included in the analysis and statistical formulas and definitions for the disparities measures.
Data for additional years during the HP2020 tracking period that are not included in the Overview of Health Disparities are available on the HP2020 website (https://www.healthypeople.gov/2020/).
Note that “rate” as used may refer to a statistical rate expressed per unit population or a proportion, depending on how the HP2020 objective was defined.
This dataset contains summary information on opioid drug seizures and arrests made by Pennsylvania State Police (PSP) personnel, stationed statewide, on a quarterly basis. Every effort is made to collect and record all opioid drug seizures and arrests however, the information provided may not represent the totality of all seizures and opioid arrests made by PSP personnel. Data is currently available from January 1, 2013 through most current data available. Seizure Opioids seized as a result of undercover buys, search warrants, traffic stops and other investigative encounters. An incident is a Pennsylvania State Police (PSP) recorded violation of the Controlled Substance Act and an entry into the PSP Statistical Narcotics System. By regulation, entry is made by the PSP as stated in PSP Administrative Regulation 9-6: When violations of The Controlled Substance, Drug, Device and Cosmetic Act are reported, the required statistical information concerning the incident shall be entered into the Statistical Narcotic Reporting System (SNRS). Incidents may include undercover buys, search warrants, traffic stops and other investigative encounters So, an “incident” is not based on any arrest, but on a reported violation, though it often can include arrests. The incidents that are selected and forwarded to the portal are those that include a record of one or more seizures of the opioid drugs. In turn, a subset of those selected incidents also contains a record of one or more arrests. This is PSP data only, it would not include any Federal case/incident data.
This dataset was used by Chicago Police Department analysts to create the publicly available “Chicago Police Sentiment Dashboard” (https://home.chicagopolice.org/statistics-data/data-dashboards/sentiment-dashboard/). This online dashboard displays information related to how safe Chicago residents feel and how much trust they have in the police.
The dashboard and this dataset are updated monthly and users are able to view data citywide, as well as within the five detective areas and in each of the 22 districts. Users can sort this data based on year, month and location. Information is also available based on demographics, including age, sex, race, education and income level. The dashboard is meant to improve transparency as well as work toward compliance with the consent decree.
The first five columns indicate the type of organizational unit described by the records and which particular unit. Subsequent columns show either a safety or trust score for a demographic group. Scores are derived from responses to survey questions, with each response being a value that ranges from 0-10. Please note that Elucd trust and safety scores are NOT a percentage. A score of 65 means that average response to the questions is 6.5 out of 10. The final two columns show the time period in which the data were collected.
The dataset was created by our partner, Elucd (https://elucd.com), through delivering short surveys to Chicago residents through digital ads. See [https://home.chicagopolice.org/wp-content/uploads/2020/12/Dashboard_FAQ_11_25_20.pdf] for more information on the project.
This effort is one element of a Chicago Police Department reform process, governed by a consent decree executed between the Office of the Attorney General of the State of Illinois (OAG) and the City of Chicago. For more information on the consent decree, see https://www.chicago.gov/city/en/sites/police-reform/home/consent-decree.html.
[1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were:
1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.)
2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change.
3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point.
4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline.
5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only.
6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed.
[2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople.
[3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline):
Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100
[4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline:
| Magnitude of percent change from baseline = | Final value - Baseline value | / Baseline value * 100 |
[5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test.
[6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta
The juvenile justice system has a responsibility to protect the community from known juvenile offenders. Juveniles who do not commit a new offense while under court supervision have a higher probability of remaining crime free. This data represents the number and percentage of juveniles who successfully completed supervision without a new offense resulting in a Consent Decree, Adjudication of Delinquency, ARD, Nolo Contendere, or finding of guilt in a criminal procedure. CY - Calendar Year
This dataset is contained within the Juvenile Court Judges' Commission’s 2018 Statewide Juvenile Justice Outcome Measure report: this report reflects outcomes of juvenile offenders whose cases were closed during the report period and who have received a period of supervision from a county juvenile probation department. These reported outcomes are associated with community protection, accountability, and competency development; three core goals of Pennsylvania's juvenile justice system.
Since 2009, county juvenile probation departments have supervised and closed 126,006 cases. The proportion of cases closed successfully (without a new offense) during this time is 84.1%. For the year 2018, the proportion of cases closed successfully was 85.4%.
DATASET DESCRIPTION: This Dataset includes the average response time by Call Priority across days of the week and hours of the day. Response Times reflect the same information contained in the APD 911 Calls for Service 2019-2024 dataset.
AUSTIN POLICE DEPARTMENT DATA DISCLAIMER
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The data provided is for informational use only and may differ from official Austin Police Department data.
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The Austin Police Department’s databases are continuously updated, and changes can be made due to a variety of investigative factors including but not limited to offense reclassification and dates.
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Reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different systems of record may have been used.
4.The Austin Police Department does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.
City of Austin Open Data Terms of Use -https://data.austintexas.gov/stories/s/ranj-cccq
This was one single topic among many as part of the September 2015 Mixed Topic survey. Test link to view these questions: https://www.edmontoninsightcommunity.ca/R.aspx?a=526&as=7YW63mx6N7&t=1. Open from September 08 - 16, 2015. At the time the survey was launched survey invitations were sent to 3516 Insight Community Members. 1477 members completed the survey which represents a completion rate of 42%. A total of 1637 respondents completed the survey: 1477 Insight Community Members and 160 using the anonymous link which will have no demographic info.
The data set contains information on outreach activities conducted by staff of the Mayor's Office to End Domestic and Gender-Based Violence (ENDGBV) in calendar year 2018 and 2019. Outreach Coordinators ENDGBV raise awareness about resources and services for survivors of domestic and gender-based violence in New York City and conduct public engagement and education events to build community capacity to recognize, respond to, and prevent domestic and gender-based violence. ENDGBV Outreach builds community partnerships, situates ENDGBV’s work within City and community initiatives, and keeps its finger on the pulse of domestic and gender-based violence crime trends and survivor needs. ENDGBV Outreach conducts most of ENDGBV’s public awareness and outreach activity, and it works closely with colleagues across our Policy, Training, the Healthy Relationship Training Academy, Family Justice Center (FJC), and Executive teams to engage communities across the city. ENDGBV Outreach often leads grassroots advocacy efforts and gathers support for public awareness initiatives at the local level by participating in task forces and working group meetings citywide and nationwide, including with Peace Over Violence, the United Nations (UN), and diplomatic offices. ENDGBV Outreach collaborates with a diverse range of partners, including its New York City sister agencies, community-based organizations (CBOs), and houses of worship, on outreach and public engagement campaigns and events. In 2018 and 2019, ENDGBV Outreach worked with more than 350 unique NYC agencies, CBOs, and houses of worship. Key Definitions: Civic Service Agencies include Mayor’s Community Affairs Unit (CAU), Community Boards, Commission on Human Rights (CCHR), NYC Council members, and New York State (NYS) government representatives (e.g., NYS Senators, Office of the NYS Attorney General, etc.). Education Agencies include City University of New York (CUNY), Department of Education (DOE), and Commission on Gender Equity (CGE). Health Agencies include Department of Health and Mental Hygiene (DOHMH), Health and Hospitals Corporation (HHC), and ThriveNYC. Public Safety Agencies include Fire Department of the City of New York (FDNY), New York City Police Department (NYPD), and Department of Probation (DOP). Social Service Agencies include Department for the Aging (DFTA), Administration for Children’s Services (ACS), Department of Homeless Services (DHS), Human Resources Administration (HRA), Mayor’s Office for Economic Opportunity (MOEO), Mayor’s Office for People with Disabilities (MOPD), Young Men’s Initiative (YMI), and Department of Veterans’ Services (DVS). Community-based organizations (CBOs) include organizations like Sanctuary for Families, Safe Horizon, etc. Outreach Events any event in which the ENDGBV outreach team participated as part of its mission to raise awareness about domestic and gender-based violence and the services that are available to survivors. General Outreach: Is an event that ENDGBV participated to raise awareness of the occurrence of domestic and gender-based violence and the services available with the public. Events could include fairs, block parties, distributing materials in public spaces, such as subway and bus stops. Outreach meetings include meetings attended by the outreach staff in community, such as community-board meetings or meetings with community-based organizations. Educational Trainings: Workshops conducted by ENDGBV staff to raise awareness of the occurrence of domestic and gender-based violence and the services available. FJC are outreach, educational activities, and tours conducted at, or by New York City Family Justice Center (FJC) staff. FJCs are co-located multidisciplinary service centers, situated in the five boroughs, providing vital social services as well as civil legal and criminal justice assistance for survivors of domestic and gender-based violence and their children.
The Cincinnati Community Perceptions Survey was developed by the City's Office of Performance and Data Analytics and ETC Institute in the fall of 2021. This community engagement tool was designed to allow the City Administration to evaluate resident satisfaction with our services and measure that level of satisfaction against cities of similar size, location, and demographics. The survey design also allows the City to capture community priorities for investment in services over the next two years.
The survey was administered during the winter of 2023 by mail to a random sample of households across the city, and was available to complete by mail or online. The goal of 1,200 completed surveys was met, with a total of 1,235 residents completing the survey. The overall residents for the sample of 1,408 households have a precision of at least +/-2.8% at the 95% level of confidence, and are demographically representative of our city's population.
This survey provides insight into where we are excelling in service delivery and where our local government could benefit from intentional improvement and resources.
Read the full report on survey results here: https://www.cincinnati-oh.gov/manager/community-survey/
Find the Community Perceptions Survey Dashboard here: https://insights.cincinnati-oh.gov/stories/s/Community-Perceptions-Survey-Version-2/3nn5-m4kg/
Find the 2021 Community Perceptions Survey Data here: https://data.cincinnati-oh.gov/efficient-service-delivery/Community-Perceptions-Survey-2021/pkyn-d5t4/about_data
The Cincinnati Community Perceptions Survey was developed by the City's Office of Performance and Data Analytics and ETC Institute in the fall of 2021. This community engagement tool was designed to allow the City Administration to evaluate resident satisfaction with our services and measure that level of satisfaction against cities of similar size, location, and demographics. The survey design also allows the City to capture community priorities for investment in services over the next two years.
The survey was administered during the winter of 2021 by mail to a random sample of households across the city, and was available to complete by mail or online. The goal of 1,200 completed surveys was exceeded, with a total of 1,408 residents completing the survey. The overall residents for the sample of 1,408 households have a precision of at least +/-2.6% at the 95% level of confidence, and are demographically representative of our city's population.
This year's survey will set a baseline for Cincinnati to work from with the goal of better understanding where we are excelling in service delivery and where our local government could benefit from intentional improvement and resources.
Find the link to the Survey landing page here: https://etcinstitute.com/directionfinder2-0/city-of-cincinnati-ohio/
Nova Scotia’s Open Data Program conducts an ongoing survey to understand how to provide open data that is useful to the people and organizations who need it. Questions relate to people's use of and interest in data, open data, and the Nova Scotia Open Data Portal. Findings inform improvements to the portal.
The Open Data Program would like to hear from you if you use or are interested in using the Nova Scotia Open Data Portal. Clink on this link to complete the survey: http://surveys.novascotia.ca/NSOpenDataSurvey Survey Duration: Approximately 5-15 minutes, depending on your use of and interest in open data.
This is a raw data from the 1371 responses of the mailed community survey in spring 2012 by our contracted vendor ETC Institute. Responses to questions are based upon following scoring:
Answers Provided as: 5 Very Satisfied 4 Satisfied 3 Neither 2 Dissatisfied 1 Very Dissatisfied 9 Don't Know
Final Report from vendor is attached.
Dataset is the anonymized responses from the 2014 Community Survey conducted by ETC Institute. Random surveys were sent to residents across our city to create an equal representation of at least 150 responses per Council District. Most answers are scored: 5- Very Satisfied 4- Satisfied 3- Neither 2- Dissatisfied 1- Very Dissatisfied 9- Don't Know While Most Important ranked questions refer to the preceding questions services and items ordered by letter. Not all Ranking questions are required and might not equal total number of surveys.
"This dataset includes the raw results from the City of Gainesville 2021 Neighborhood Survey. For reference to columns within this dataset, please view the survey, given here: https://tinyurl.com/yxye5ese Responses of "9" for questions on a 1-5 scale indicate a non-response or a response of "Don't know".