This dataset contains every reported instance of a crime in the city of Chicago from 01/01/2014 to 10/24/2016.

As of November 1st, 2016, there have been 605 murders and 3,003 shootings year-to-date, with 78 and 353, respectively, in October.

In-the-News: * ABC7: October was 2nd Deadliest Month of 2016, Police Say * DNAinfo: Thief Steals $1,500 Fiddle From Music Teacher's Car In Logan Square * NBCNews: Chicago Battles Violent Crime Rise and Heroin Epidemic * US News: Pitfalls of Predictive Policing * The Washington Post: Chicago surpasses 600 homicides in 2016 and is on pace to have its deadliest year in two decades

Footnotes

• Location data is only available to the block level to protect the privacy of the victims.
• Certain reports may be based on preliminary information and are subject to change.
• Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system and made available here.

***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.

This table contains data on the rate of violent crime (crimes per 1,000 population) for California, its regions, counties, cities and towns. Crime and population data are from the Federal Bureau of Investigations, Uniform Crime Reports. Rates above the city/town level include data from city, university and college, county, state, tribal, and federal law enforcement agencies. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Ten percent of all deaths in young California adults aged 15-44 years are related to assault and homicide. In 2010, California law enforcement agencies reported 1,809 murders, 8,331 rapes, and over 95,000 aggravated assaults. African Americans in California are 11 times more likely to die of assault and homicide than Whites. More information about the data table and a data dictionary can be found in the About/Attachments section.

Here are a few use cases for this project:

1. Law Enforcement Surveillance: This computer vision model could be used in CCTV monitoring and analysis to identify potential crime activities in real-time. It could detect people carrying weapons, or suspicious behavior that matches the criminal class.

2. Social Media Monitoring: The "Crime" model could scan and analyse social media content to detect activities suggesting potential threats or criminal activities, helping law enforcement quickly intervene.

3. Forensic Investigations: The model could assist forensic teams in examining photos or videos from crime scenes to identify people present, potential weapons used, and specific behaviors linked to the crime.

4. Security Systems: Computer vision models could be integrated into personal or commercial security systems to detect potential break-ins or criminal activities, triggering alarms or alerts.

5. Public Safety: In crowded public places like stadiums or events, this model could monitor the crowd for unusual behavior or potential threats, enhancing public safety and crowd management.

This dataset contains the number of crimes recorded in a city over a period of 21 years, from 2000 to 2020. The dataset is presented in a comma-separated value format, and includes the year of the recorded crime, the type of crime (Assault, Burglary, Robbery, Vehicle Theft), and the number of occurrences of that crime in that year. This dataset could be used for analyzing crime trends over time, identifying areas where specific types of crimes are more prevalent, and for creating predictive models to estimate the likelihood of certain types of crimes occurring in a given year.

This dataset reflects reported incidents of crime (with the exception of sexual assaults, which are excluded by statute) that occurred in the City of Hartford from 2005 to the present, minus the most recent ten days. Data is extracted from the City of Hartford Police Department's CrimeView database on a daily basis. Should you have questions about this dataset, you may contact the Crime Analysis Division of the Hartford Police Department at 860.757.4020 or policechief@Hartford.gov. Disclaimer: These incidents are based on crimes verified by the Hartford Police Department's Crime Analysis Division. The 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 Hartford 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 Hartford 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. The Hartford 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 Hartford or Hartford Police Department web page. The user specifically acknowledges that the Hartford 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 "Hartford Police Department", "Hartford Police", "HPD" or any colorable imitation of these words or the unauthorized use of the Hartford Police Department logo is unlawful. This web page does not, in any way, authorize such use. The dataset contains more than 400,000 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.

This dataset represents a comprehensive record of crime incidents within the City of Los Angeles, starting from 2020. The data is sourced from original crime reports, which were originally typed on paper, introducing the possibility of some inaccuracies. Certain location fields may contain missing data denoted as (0°, 0°). To prioritize privacy, address fields are limited to the nearest hundred block. While the data is generally reliable, any questions or concerns can be addressed through comments. Explore this dataset to uncover trends, patterns, and gain a deeper understanding of crime in Los Angeles.

Field Descriptions Crime Dashboard Document - https://www.minneapolismn.gov/government/government-data/datasource/crime-dashboard/crime-dashboard-document/

The data set is refreshed on a daily basis by 9:30 AM. The website will reflect the last time the data set was updated and the total count of rows. The grid on the “Data” tab will display the up to date data. However, in certain situations there is a delay in the refresh of the downloadable data file. Sometimes the downloadable file does not reflect the updates to the data in the portal. After a delay (duration has been variable; up to 30 minutes), the file will be updated on the server and then downloads will include the updated data.

This 2022 crime data is a list of Part 2 Offenses reported to the Syracuse Police Department (SPD), that were reported to have occurred in 2022. These records do not include rape offenses or any crimes that have been sealed by the court. These records are derived from the records management system utilized by the SPD. The data is then anonymized by SPD Crime Analysts weekly. After this data is received weekly from the SPD, it is updated on the Open Data Portal. Crimes are reported to the FBI in two major categories under the Uniform Crime Reports (UCR) specification: Part 1 and Part 2 crimes. Part 1 crimes include criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. In SPD records, rape offenses have been excluded due to victim privacy concerns. Part 2 crimes include all other offenses. A detailed list of Part 2 crimes is listed below. When using the data, the date and time provided are when the crime was actually reported. This means that though a larceny might b e reported at noon, the actual crime could have happened at 8am, but was not realized until someone noticed hours later. Similarly, if a home break-in happens during a holiday weekend when the owners are out of town, the crime report may not come in until they return home and notice the crime took place previously. The address in the dataset is where the crime occurred. The location is also anonymized to the block level, so a crime that occurred at 123 Main St. will appear as occurring on the 100 block of Main St. This is to protect the privacy of all involved. Finally, information about crimes is fluid, and details about the crime could change.Data DictionaryDate End - Date that the crime was reported. It could have happened earlier. This is in the format of DD-MON-YY (Ex. 01-Jan-22).Time start and time end - Listed in military time (2400) - Burglaries and larcenies are often a time frame. Address - Where the crime occurred. All addresses are in the 100’s because the Syracuse Police Department allows privacy for residents and only lists the block number.Code Defined - Offense names are listed as crime categories group for ease of understanding. There may have been other offenses also, but the one displayed is the highest Unified Crime Reporting (UCR) category.Quality of Life - True or False value stating whether this crime is part of the list of crimes that the City of Syracuse categorizes if these affect residents quality of life. DisclaimerData derived from the Syracuse Police Department record management system, any data not listed is not currently available.Part II Crime Definitions Part II crimes are those not included in the Part I section and are then grouped into the following categories KIDNAPPINGEXTORTION SIMPLE ASSAULTSALE/MANUFACTURE MARIJUANAFORGERY/COUNTERFEITOFFN AGAINST FAMILYSALE/MANUFACTURE CONTROLLED SUBSTANCEPROSTITUTION PATRON/PROMOTINGDRIVING UNDER INFLUENCEPOSSESSION/USE DRUGSTOLEN PROPERTYUNAUTHORIZED USE MVCOERCIONPOSSESSION BURGLAR TOOLSPOSSESSION/USE DANGEROUS WEAPONSCRIMINAL MISCHIEFLIQUOR LAW VIOLATIONSBRIBERYFRAUDDISORDERLY CONDUCTLOITERINGALL OTHER OFFENSES

The Executive Office of Public Safety and Security (EOPSS) collects NIBRS and UCR data from law enforcement agencies in accordance with the FBI’s Uniform Crime Reporting Program.

This dataset encompasses all of the Part 1 crimes in Austin, Texas from January 1 2015 - December 31 2015. AUSTIN POLICE DEPARTMENT DATA DISCLAIMER 1. The data provided are for informational use only and may differ from official APD crime data. 2. 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. 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.

A collection of crime data from the Atlanta Police Department's open data portal. Their link to download the total dataset has been down forawhile. This is an aggregation of city-wide data for every month between January 2009 and February 2017: http://opendata.atlantapd.org/

The dataset includes 1/1/2009 - 2/28/2017. It is in csv form with 270688 rows.

This 2022 crime data is the list of crimes that the Syracuse Police Department responded to in 2022. These records does not include rape offenses as well as any crimes that have been sealed by the court. Crimes are reported to the FBI in two major categories under the Uniform Crime Reports specification: Part 1 and Part 2 crimes. Part 1 crimes include criminal homicide, forcible rape, robbery, aggravated assault, burglary, larceny-theft, and motor vehicle theft. In these records, rape offenses have been excluded due to victim privacy concerns.Part 2 crimes include all other offenses. A more detailed guide to Part 1 crimes is listed below. More details about Part 2 Crimes is listed in the Part 2 Crimes Dataset.When using the data, the date and time provided are when the crime was actually reported. This means that though a larceny might be reported at noon, the actual crime could have happened at 8am, but was not realized until someone noticed hours later. Similarly, if a home break-in happens during a holiday weekend when the owners are out of town, the crime report may not come in until they return home and notice the crime took place previously. The address in the dataset is where the crime occurred. The location is also anonymized to the block level, so a crime that occurred at 123 Main St. will appear as occurring on the 100 block of Main St. This is to protect the privacy of all involved. Finally, information about crimes is fluid, and details about the crime could change.Data DictionaryDate End - Date that the crime was reported. It could have happened earlier. This is in the format of DD-MON-YY (Ex. 01-Jan-22).Time start and time end - Listed in military time (2400) - Burglaries and larcenies are often a time frame. Address - Where the crime occurred. All addresses are in the 100’s because the Syracuse Police Department allows privacy for residents and only lists the block number.Code Defined - Offense names are listed as crime categories group for ease of understanding. There may have been other offenses also, but the one displayed is the highest Unified Crime Reporting (UCR) category.Arrest - Means that there was an arrest, but not necessarily for that crime.Larceny Code - Indicates the type of larceny (Example: From Building or From Motor Vehicle).DisclaimerData derived from the Syracuse Police Department record management system, any data not listed is not currently available.Part I Crime DefinitionsCriminal homicide—a.) Murder and non-negligent manslaughter: the willful (non-negligent) killing of one human being by another. Deaths caused by negligence, attempts to kill, assaults to kill, suicides, and accidental deaths are excluded. The program classifies justifiable homicides separately and limits the definition to: (1) the killing of a felon by a law enforcement officer in the line of duty; or (2) the killing of a felon, during the commission of a felony, by a private citizen. b.) Manslaughter by negligence: the killing of another person through gross negligence. Deaths of persons due to their own negligence, accidental deaths not resulting from gross negligence, and traffic fatalities are not included in the category Manslaughter by Negligence. Robbery—The taking or attempting to take anything of value from the care, custody, or control of a person or persons by force or threat of force or violence and/or by putting the victim in fear. Aggravated assault—An unlawful attack by one person upon another for the purpose of inflicting severe or aggravated bodily injury. This type of assault usually is accompanied by the use of a weapon or by means likely to produce death or great bodily harm. Simple assaults are excluded. Burglary (breaking or entering)—The unlawful entry of a structure to commit a felony or a theft. Attempted forcible entry is included. Larceny-theft (except motor vehicle theft)—The unlawful taking, carrying, leading, or riding away of property from the possession or constructive possession of another. Examples are thefts of bicycles, motor vehicle parts and accessories, shoplifting, pocket picking, or the stealing of any property or article that is not taken by force and violence or by fraud. Attempted larcenies are included. Embezzlement, confidence games, forgery, check fraud, etc., are excluded. Motor vehicle theft—The theft or attempted theft of a motor vehicle. A motor vehicle is self-propelled and runs on land surface and not on rails. Motorboats, construction equipment, airplanes, and farming equipment are specifically excluded from this category.

Incidents are the records, of reported crimes, collated by an agency for management. Incidents are typically housed in a Records Management System (RMS) that stores agency-wide data about law enforcement operations.

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.

To estimate national trends of crime, the FBI collects crime reports from law enforcement agencies across the country. In 2022, Delaware, the District of Columbia, and Oklahoma had perfect participation rates, with 100 percent of law enforcement agencies reporting crime data to the FBI in those states. In contrast, the state of Florida had the lowest share of law enforcement agencies who reported crime data to the FBI in the United States, at 7.7 percent. An unreliable source? Along with being the principal investigative agency of the U.S. federal government, the FBI is also in charge of tracking crimes committed in the United States. In recent years, however, the FBI made significant changes to their crime reporting system, requiring a more detailed input on how agencies report their data. Consequently, less crime data has been reported and the FBI has come under criticism as an unreliable source on crime in the United States. In 2022, the FBI was found to rank low on trustworthiness for Americans when compared to other government agencies, further demonstrating the need for transparent and accurate data. Importance of crime rates As crime and policing data can help to analyze emerging issues and policy responses, the inaccuracy of the FBI’s crime reporting system may lead to misinformation which could be used to impact elections and the beliefs of the American public. In addition, the lack of crime data from Republican states such as Florida may prove problematic as 78 percent of Republicans said that crime was a very important issue for them in midterm elections.

In 2022, the clearance rate for robberies in the South of the United States stood at 23.1 percent. The clearance rate for robberies was highest in the West, at 28.4 percent. Crime clearance is when an arrest is made in a case, or it is cleared by exceptional means.

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 RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

IntroductionThis 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 2010 to Present (YTD 2011) for the CPD Beat, Park, School and CTA Station crime by type analysis. For the Neighborhood time-series of total crimes, data is from 2001-2010, representing over 4.7 million incidents of reported crime.Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. Step 1.Learn how to Navigate the MapZoom in by double-clicking.Zoom in and out using the mouse wheel.Zoom in and out using the navigation control.Zoom to a box using the Shift key.Pan the map by holding the left mouse button while dragging.Step 2.Learn how to Identify InformationA single click on a feature drills-down and identifies multiple layers, look for the right facing arrow.Police Beats OnlyPrimary Types of Crimes Shown in Pie Charts (The first 9 crime types accounts for >88% of crime) 1. Assault 2. Battery 3. Burglary 4. Criminal Damage 5. Motor Vehicle Theft 6. Narcotics 7. Other Offense 8. Robbery 9. TheftThe "All Other Crimes" category include:ArsonCriminal Sexual AssaultCriminal TrespassingDeceptive PracticeDomestic ViolenceGamblingHomicideInterfere with Public OfficerIntimidationKidnappingLiquor Law ViolationObsenityOffences involving ChildrenOther Narcotic ViolationProstitutionPublic IndecencyPublic Peach ViolationRitualismSex OffenceStalkingWeapons Violationröös design + consulting, LLC2011www.roosdesignconsulting.com