Facebook
TwitterThis dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e
Facebook
TwitterIn 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.
Facebook
TwitterThis is an Official Statistics bulletin produced by statisticians in the Ministry of Justice, Home Office and the Office for National Statistics. It brings together, for the first time, a range of official statistics from across the crime and criminal justice system, providing an overview of sexual offending in England and Wales. The report is structured to highlight: the victim experience; the police role in recording and detecting the crimes; how the various criminal justice agencies deal with an offender once identified; and the criminal histories of sex offenders.
Providing such an overview presents a number of challenges, not least that the available information comes from different sources that do not necessarily cover the same period, the same people (victims or offenders) or the same offences. This is explained further in the report.
Based on aggregated data from the ‘Crime Survey for England and Wales’ in 2009/10, 2010/11 and 2011/12, on average, 2.5 per cent of females and 0.4 per cent of males said that they had been a victim of a sexual offence (including attempts) in the previous 12 months. This represents around 473,000 adults being victims of sexual offences (around 404,000 females and 72,000 males) on average per year. These experiences span the full spectrum of sexual offences, ranging from the most serious offences of rape and sexual assault, to other sexual offences like indecent exposure and unwanted touching. The vast majority of incidents reported by respondents to the survey fell into the other sexual offences category.
It is estimated that 0.5 per cent of females report being a victim of the most serious offences of rape or sexual assault by penetration in the previous 12 months, equivalent to around 85,000 victims on average per year. Among males, less than 0.1 per cent (around 12,000) report being a victim of the same types of offences in the previous 12 months.
Around one in twenty females (aged 16 to 59) reported being a victim of a most serious sexual offence since the age of 16. Extending this to include other sexual offences such as sexual threats, unwanted touching or indecent exposure, this increased to one in five females reporting being a victim since the age of 16.
Around 90 per cent of victims of the most serious sexual offences in the previous year knew the perpetrator, compared with less than half for other sexual offences.
Females who had reported being victims of the most serious sexual offences in the last year were asked, regarding the most recent incident, whether or not they had reported the incident to the police. Only 15 per cent of victims of such offences said that they had done so. Frequently cited reasons for not reporting the crime were that it was ‘embarrassing’, they ‘didn’t think the police could do much to help’, that the incident was ‘too trivial or not worth reporting’, or that they saw it as a ‘private/family matter and not police business’
In 2011/12, the police recorded a total of 53,700 sexual offences across England and Wales. The most serious sexual offences of ‘rape’ (16,000 offences) and ‘sexual assault’ (22,100 offences) accounted for 71 per cent of sexual offences recorded by the police. This differs markedly from victims responding to the CSEW in 2011/12, the majority of whom were reporting being victims of other sexual offences outside the most serious category.
This reflects the fact that victims are more likely to report the most serious sexual offences to the police and, as such, the police and broader criminal justice system (CJS) tend to deal largely with the most serious end of the spectrum of sexual offending. The majority of the other sexual crimes recorded by the police related to ‘exposure or voyeurism’ (7,000) and ‘sexual activity with minors’ (5,800).
Trends in recorded crime statistics can be influenced by whether victims feel able to and decide to report such offences to the police, and by changes in police recording practices. For example, while there was a 17 per cent decrease in recorded sexual offences between 2005/06 and 2008/09, there was a seven per cent increase between 2008/09 and 2010/11. The latter increase may in part be due to greater encouragement by the police to victims to come forward and improvements in police recording, rather than an increase in the level of victimisation.
After the initial recording of a crime, the police may later decide that no crime took place as more details about the case emerge. In 2011/12, there were 4,155 offences initially recorded as sexual offences that the police later decided were not crimes. There are strict guidelines that set out circumstances under which a crime report may be ‘no crimed’. The ‘no-crime’ rate for sexual offences (7.2 per cent) compare
Facebook
Twitterhttps://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions
The dataset contains year-, state-, type-of-crime- and gender-wise compiled data on the number of different types of crimes which were committed against children and the number of victims who were affected by the same crimes. The different types of crimes covered in the dataset include kidnapping and abduction crimes such as kidanapping and abduction for the purpose of murder, begging, ransom, compelling for marriage, procuration of minor girls, importation of girls from foreign countries, missing deemed as kidnapped, etc., fatal crimes such as murder, attempt to commit murder, muder with rape, abetment of suicide of child, infanticide, foeticide, trafficking and sexual crimes such buying and selling of minors for prostitution, use of children for pornography, transmiting sexual content and material involving children in sexually explicit acts, sexual assualt, penetrative sexual assault, rape, and other crimes such as child labour, child marriage, exposure, abandaonment, simple hurt, grievous hurt, insult and assualt of damage modesty, crimes under juvenile justice act and transplantation of organs act, etc.
The dataset also categorizes the above crimes by the pertinent legislations and their specific secitons against which the crimes have been committed against children.
Note: The rate of crimes in the dataset refers to number of crimes committed against Children by projected population of children in Lakhs
Facebook
TwitterThis dataset includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) for all complete quarters so far this year (2016). For additional details, please see the attached data dictionary in the ‘About’ section.
Facebook
TwitterMeta Data Fields and Details This dataset contains detailed metadata about rape cases reported in Bangladesh during the year 2013-2023. The dataset is intended for researchers, policymakers, and organizations focused on understanding and addressing sexual violence. It includes information on the circumstances of each incident, the legal proceedings, the conditions of the victims, and the responses from the police and community. Each entry in the dataset provides a wealth of information that can be used for in-depth analysis and research. The metadata includes fields such as: Total Sample Size: This dataset comprises a total of 2,813 rows, each representing an individual case reported in various districts across Bangladesh. Temporal Coverage: Minimum Date: February 22, 2013 Maximum Date: April 10, 2023 Data Description: incident_details: A description of the incident, including key events and actions taken by the perpetrators. legal_proceedings: court: The name of the court handling the case. judge: The name of the judge presiding over the case. confession_date: The date when the confession was made. confession_details: Details about the confession given by the accused. victim_education_status: The education status of the victim (e.g., student, graduate). location: district: The district where the incident occurred. upazila: The sub-district or upazila where the incident occurred. road: The specific road or location within the district. victim_condition: The condition or status of the victim (e.g., stable, critical, student). is_fatal_weapon_used_in_rape: Indicates whether a fatal weapon was used in the incident (true/false). police_response: Details about the actions taken by the police in response to the incident. is_romantic_relationship: Indicates whether the incident involved a romantic relationship between the victim and the perpetrator (true/false). time_of_incident_hour: The hour when the incident occurred, if available. attacker_details: Information about the attackers, including names, ages, aliases, occupations, and residences. local_leaders_involved_in_arbitration: Indicates whether local leaders were involved in arbitration (true/false). pressure_from_attackers_family: Details about any pressure exerted by the attacker's family on the victim or their family. medical_response: Details about the medical response provided to the victim (e.g., medical examination, autopsy). community_response: Details about the community's response to the incident. is_pressure_from_attackers_family: Indicates whether there was pressure from the attacker's family (true/false). date_of_incident: The date when the incident occurred. legal_perspective: Legal perspective or interpretation related to the incident, if available. is_victim_family_filed_complaint_by_themselves: Indicates whether the victim's family filed the complaint themselves (true/false). victim_age: The age of the victim. police_involvement: Details about the involvement of the police in the case. outcome_of_arbitration: The outcome of any arbitration involving local leaders. officer_in_charge: The name of the officer in charge of the case. victim_marital_status: The marital status of the victim. victim_action: Actions taken by the victim in response to the incident (e.g., filing a complaint). number_of_attackers: The number of attackers involved in the incident. police_statement: Statements given by the police regarding the incident. motive_behind_not_filing_complaint: The motive behind not filing a complaint, if applicable. time_of_incident: The specific time of the incident, if available. public_response: The response of the public to the incident. Example Meta Data Entry { "incident_details": "The victim was abducted, raped, and murdered by Krishna Chandra Das with the help of his three friends. The body was disposed of in a sack by the roadside.", "legal_proceedings": { "court": "Tangail Chief Judicial Magistrate Court", "judge": "Senior Judicial Magistrate Md. Ariful Islam", "confession_date": "Sunday", "confession_details": "Krishna Chandra Das and his three friends confessed to the abduction, rape, and murder of the school student." }, "victim_education_status": "SSC examinee", "location": { "district": "Tangail", "upazila": "Bhuyapur", "road": "Tarakandi road" }, "victim_condition": "School student", "is_fatal_weapon_used_in_rape": true, "police_response": "Tangail Police Bureau of Investigation (PBI) conducted raids and arrested the four accused.", "is_romantic_relationship": true, "time_of_incident_hour": null, "attacker_details": [ { "name": "Krishna Chandra Das", "age": 28, "alias": "Sani Ahmed", "occupation": "Salon worker", "residence": "Bhengula village, Gopalpur upazila" }, { "name": "Sourav Ahmed", "age": 23, "residence": "Ispinjarpur village, Dhanbari upazila" }, { "name": "Mehedi Hasan", "age": 28, "residence": "Ispinjarpur village, Dhanbari upazila" }, { "name": "Mizanur Rahman", "age": 37, "residence": "Ispinjarpur village, Dhanba…
Facebook
TwitterThis data comes from the Survey on Sexual Violence, 2006, an administrative records collection of incidents of inmate-on-inmate and staff-on-inmate sexual violence reported to correctional authorities. This dataset in particular focuses on allegations of staff-on-inmate sexual violence reported by State or Federal prison authorities by State. Between January 1 and June 30, 2007, BJS completed the third annual national survey of administrative records in adult correctional facilities, covering calendar year 2006. Although the results were limited to incidents reported to correctional officials, the survey provides an understanding of what officials know, based on the number of reported allegations, and the outcomes of follow-up investigations. By comparing results of the 2006 survey with those from 2004 and 2005, BJS is able to assess trends in sexual violence for the first time since the Act was passed. NV, NJ, NM, NC, RI: Reports of staff sexual misconduct may include reports of staff sexual harassment. TX: Reports of staff sexual harassment are not recorded in a central database. For more information on this data please go to: http://www.ojp.usdoj.gov/bjs/abstract/svrca06.htm
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This dataset contains Crime and Safety data from the Cary Police Department.
This data is extracted by the Town of Cary's Police Department's RMS application. The police incidents will provide data on the Part I crimes of arson, motor vehicle thefts, larcenies, burglaries, aggravated assaults, robberies and homicides. Sexual assaults and crimes involving juveniles will not appear to help protect the identities of victims.
This dataset includes criminal offenses in the Town of Cary for the previous 10 calendar years plus the current year. The data is based on the National Incident Based Reporting System (NIBRS) which includes all victims of person crimes and all crimes within an incident. The data is 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. Crime data is updated daily however, incidents may be up to three days old before they first appear.
About Crime Data
The Cary Police Department strives to make crime data as accurate as possible, but there is no avoiding the introduction of errors into this process, which relies on data furnished by many people and that cannot always be verified. Data on this site are updated daily, adding new incidents and updating existing data with information gathered through the investigative process.
This dynamic nature of crime data means that content provided here today will probably differ from content provided a week from now. Additional, content provided on this site may differ somewhat from crime statistics published elsewhere by other media outlets, even though they draw from the same database.
Withheld Data
In accordance with legal restrictions against identifying sexual assault and child abuse victims and juvenile perpetrators, victims, and witnesses of certain crimes, this site includes the following precautionary measures: (a) Addresses of sexual assaults are not included. (b) Child abuse cases, and other crimes which by their nature involve juveniles, or which the reports indicate involve juveniles as victims, suspects, or witnesses, are not reported at all.
Certain crimes that are under current investigation may be omitted from the results in avoid comprising the investigative process.
Incidents five days old or newer may not be included until the internal audit process has been completed.
This data is updated daily.
Facebook
TwitterFor the latest data tables see ‘Police recorded crime and outcomes open data tables’.
These historic data tables contain figures up to September 2024 for:
There are counting rules for recorded crime to help to ensure that crimes are recorded consistently and accurately.
These tables are designed to have many uses. The Home Office would like to hear from any users who have developed applications for these data tables and any suggestions for future releases. Please contact the Crime Analysis team at crimeandpolicestats@homeoffice.gov.uk.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset contains counts of offences recorded by the NT Police, categorised by offence type, time period (month), location and (for assault offences) alcohol and domestic violence involvement. Certain types of offences show strong seasonal impacts and numbers show considerable monthly variation, particularly at the regional level. In April 2025, a new version of the Australian-New Zealand Standard Offence Classification (ANZSOC) was implemented in the Northern Territory, which is the standard to be used by all Australian and New Zealand jurisdictions. Key offence categories in the crime statistics, such as homicide, assault, sexual offences, robbery, burglary, theft, and property damage, are included in the new classification. No recorded offences have been deleted or created as a result of this process, but they may be reclassified, meaning they are reported in a different category. Thus, care must be taken when comparing the crime statistics in this time series with previously published time series. Since implementation of the SerPro data system in November 2023, it has been identified that entry of the data used for crime statistics generally happens later in the investigation process when compared to the previous PROMIS system. This means that monthly data takes longer to settle and may take several months to reflect the actual numbers of offences recorded by police. For this reason, the monthly crime statistics should be reviewed with caution and will be marked as provisional until data collection is substantially complete. There has been a break in the crime statistics time series following November 2023, due to the implementation of SerPro. This means that the statistics from December 2023 onwards should not be compared directly to earlier statistics.
Facebook
TwitterThis dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data 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
Facebook
TwitterIncident-based crime statistics (actual incidents, rate per 100,000 population, percentage change in rate, unfounded incidents, percent unfounded, total cleared, cleared by charge, cleared otherwise, persons charged, adults charged, youth charged / not charged), by detailed violations (violent, property, traffic, drugs, other Federal Statutes), police services in Ontario, 1998 to 2024.
Facebook
TwitterChild Rescue Coalition (CRC) is a non-profit organisation that rescues children from sexual abuse by “building technology for law enforcement, free of charge, to identify, arrest and prosecute child predators.”1 Childlight proposes to use CRC data to better understand the global data picture on the prevalence and nature of online child sex abuse exploitation and abuse (OCSEA) – specifically the sharing of child sex abuse material (CSAM) on peer-to-peer (P2P) networks.
Child sexual abuse material (CSAM) is the content, images, videos and sound clips which are created from the sexual abuse/exploitation of children. Accessing, sharing and creating this material is a crime in most countries. Beyond this its continued availability is a source of continued harm to the children depicted in the abuse and exploitation. It is a prevalent crime that will likely grow and diversify with the development of new technological environments such as extended reality spaces. From population-based data globally, evidence shows as many as one in four adults have experienced some form of sexual abuse before the age of eighteen (One in Four, 2024); and 5-12% of all internet-active children experienced some form of sexual exploitation (ECPAT, 2018, 2020; INTERPOL, 2023; NSPCC, 2022; WHO, 2022). Childlight’s research indicates that 12.6% of children have been victims of non-consensual taking, sharing and exposure to sexual images and video in the past year (Into the Light Index by Childlight).
This proposal is to work with CRC’s collected data on CSAM shared through P2P networks. CRC has more than ten years’ experience in collecting and processing data in relation to OCSEA. CRC’s core technology has indexed over 23 billion records from various unregulated online spaces, particularly P2P data sharing networks, where criminals trade CSAM.
CRC data provides a unique geographical insight into the scale, threat and availability of CSAM on the open web. It has been given, free of charge, to law enforcement colleagues in over 100 countries around the world. CRC notes that the UK has exploited the technology to the greatest effect and has led the world in targeting offenders who upload, share and view CSAM.
P2P networks are a distributed application architecture that partitions tasks or workloads between peers including files, disk storage capacity, and network bandwidth. Peers are equal within the network and a P2P network is created when two or more computers are connected and share resources without going through a separate server computer.
CRC’s dataset has the advantage of being one of the only global datasets on CSAM content within P2P networks. CRC data is classified as big data gathered specifically for law enforcement/intelligence purposes and has not specifically been designed for research. The CSAM is flagged by filenames and other identifiers (such as IP addresses) (Childlight will not have access to any imagery).
This study will not store any CSAM or analyse any CSAM material. This is a study of metadata: numbers of IP addresses and filenames.
Data analyses provide evidence to drive more effective prevention and response strategies and policies that directly safeguard children from sexual abuse and exploitation globally. Childlight will contribute to this evidence, through several analyses of the sharing of CSAM in CRC data.
In order to understand the global trends of CSAM-sharing, the number of IP addresses sharing CSAM between 1 January 2023 and 31 December 2024 will be analysed per country/region. This is to give a general overview per country; and globally.
Moreover, the sharing of CSAM will be examined in humanitarian crises. We will accomplish this by observing how CSAM-sharing changes over time by observing trends in the numbers of IP addresses sharing CSAM shared per country (which is experiencing; or has experienced; a humanitarian crisis in the last ten years); and at various timepoints e.g. before, during and after (if possible) the crisis.
To understand the marketplace of CSAM, filenames will be analysed qualitatively; and the sharing of paedophile manuals will be analysed quantitatively by analysing the frequency (1 January – 31 December 2024) of IP addresses sharing paedophile manuals by country.
Although sexual violence occurs in all contexts, risks intensify and increase in humanitarian crises. During armed conflict, natural disasters and emergencies, women and children are especially vulnerable to sexual violence – including conflict-related sexual violence, intimate partner violence and trafficking for sexual exploitation.
Therefore, the sexual exploitation of children during war, conflict or other humanitarian crises, is of major global concern. Research has investigated how children suffer from malnutrition, hunger, disease, trafficking, violence, forced conscription as child soldiers and sexual violence (Araujo et al., 2019) but there is no research to date which examines CSAM sharing during crises. As there is existing knowledge that children face heightened exploitation during crises, it would be remiss to not investigate how this extra level of vulnerability is being exploited through CSAM-sharing.
To better address sexual exploitation and abuse of children online during humanitarian crises; we must first understand it. And thus, this research is a nascent step in understanding the association (if any) between crises and the sharing of CSAM on P2P networks.
We are exploring the marketplace of CSAM in P2P filesharing networks by qualitatively analysing filenames e.g. gender, type of abuse, relationship to victim etc; and the volume of IP addresses sharing paedophile manuals. The sharing of paedophile manuals is seen as a risk factor for contact abuse.
12000 filenames will be provided from CRC. The filenames will be accompanied by annotated descriptions of the content for review for accuracy (the content descriptions are provided by CRC/law enforcement).
For the filenames, we are interested in understanding the following elements:
Number of victims.
Number of perpetrators.
Age of victims.
Age of perpetrators.
Nationality/ethnicity.
Relationship type (e.g. father/daughter).
Type of abuse.
For paedophile manual-sharing, we will examine the frequency (1 January – 31 December 2024) of IP addresses sharing paedophile manuals by country.
Facebook
TwitterThis dataset shows City level data for all over the United States, and has various attributes for different crimes. Cities are shown as Latitude and longitude points. Attributes include murder, manslaughter, violent crimes, arson, motor vehicle theft, property crimes, aggravated assault, burglary, larceny, theft, and rape. Data was provided by the Federal Bureau of Investigation. Source: FBI URL: http://www.fbi.gov/ucr/cius2006/data/table_08.html
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
This dataset comprises all incidents reported to the Ada County Dispatch Center that were responded to by the Boise Police Department. It includes details about the date, type, general location and response time for each incident.The fact that an incident was reported to Ada County Dispatch does not necessarily mean a crime was committed or that an arrest occurred. Data is based on initial information provided to Ada County Dispatch, and therefore may be inaccurate. This dataset does not include crime data, case records, arrest information, final case determination or any other incident outcome data.To explore dashboards based on this dataset, please visit: https://www.cityofboise.org/government/data-transparency/data-and-dashboards/police-data-and-dashboards/.Field Definitions:Incident Number - Unique identifier of the incident.Response Date Time - The date and time the incident was reported to Ada County Dispatch. Time is stored in UTC, but when viewing on the Open Data site, a correction is applied to show in local time zone. When downloading the data, the time zone will be UTC.Jurisdiction Agency - The agency that has jurisdiction in the area an incident occurs. For example, if an incident occurs in eastern Meridian, a Boise police officer may be asked to respond if she is the closest to the scene of the incident. This incident would be included in the dataset because it was responded to by the Boise Police Department; however, the “Jurisdiction Agency” field would read Meridian Police Department because the incident occurred within Meridian’s jurisdiction.Final Priority - Indicates the urgency or priority of police incident, where “3” is the highest priority and an emergency, and “1” is the lowest priority and least urgent response.Call Source - "Public” indicates an incident was reported to dispatch by a member of the public. “Officer” indicates the incident was initiated by a police officer. For example, if a police officer witnesses an incident in progress it would be coded as “Officer.”Call Type - Indicates whether an incident was reported via 911 or not. “Non-911” incidents include those reported to non-emergency dispatch or those initiated by a police officer.Incident Category - Indicates the type of incident that occurred. There are 13 categories including:Community Assistance - A broad range of incident types including noise complaints, building or vehicle alarms, abandoned vehicles and complaints of suspicious suspects.Crash - Includes injury and non-injury crashes as well as hit-and-run incidents.Domestic Violence - Includes domestic battery, threats of violence and general domestic disputes.Emergency Management - Includes all incidents related to emergencies including flooding, hazardous material spills and assistance on fires.Graffiti - Any writing or drawing on a surface without permission.Mental Health - Includes requests for Police to check on the welfare of a person, and reports of suicidal person or a person in crisis.NCO\PO Violation - Any violation of a restraining order such as a "No Contact Order" or a "Protection Order", often related to domestic violence.Other - More than 40 different incident types ranging from a request to follow-up on a previous call, to boating or parking violations.Property Crimes - Includes theft, fraud, vandalism and burglary.Sex Crimes - Includes sexual assault, rape and indecent exposure.Society Crimes - A broad range of incident types including illegal fireworks, illegal dumping, illegal camping, and liquor or drug violations.Traffic - Any traffic incident (reckless driving, speeding, etc.) that does not involve a crash.Violent Crimes - A broad range of incident types including reports of assault, armed robbery, shootings, fights and kidnappings.Census Tract - A geographic area used by the Census Bureau. A Census Tract is roughly the size of a neighborhood and typically has between 2,500 and 8,000 residents.Census GEOID - A geographic identity code used by the Census Bureau to identify different areas. This dataset uses an 11-digit code that combines a 5-digit county code with a 6-digit census tract code.Neighborhood Association - Names the neighborhood association in which the incident occurred. If an incident occurs outside the boundaries of a neighborhood association, this field has a null value.First Assigned First Arrived Duration (sec) - The period of time (in seconds) between when dispatch assigns an officer to respond to an incident, and when the first officer arrives on scene. This could also be called the police travel time. This field may show as null or zero if the incident was initiated by an officer.First Assigned First Arrived Duration (hh:mm:ss) - The period of time (hh:mm:ss) between when dispatch assigns an officer to respond to an incident, and when the first officer arrives on scene. This could also be called the police travel time. This field may show as null or zero if the incident was initiated by an officer.Call Received First Assigned Duration (sec) - The period of time (in seconds) between when dispatch receives a call for service, and when they assign a police officer to respond. This could also be called the call time. This field may show as null or zero if the incident was initiated by an officer.Call Received First Assigned Duration (hh:mm:ss) - The period of time (hh:mm:ss) between when dispatch receives a call for service, and when they assign a police officer to respond. This could also be called the call time. This field may show as null or zero if the incident was initiated by an officer.Call Received First Arrived Duration (sec) - The period of time (in seconds) between when dispatch receives a call for service, and when the first officer arrives on scene. This field may show as null or zero if the incident was initiated by an officer.Call Received First Arrived Duration (hh:mm:ss) - The period of time (hh:mm:ss) between when dispatch receives a call for service, and when the first officer arrives on scene. This field may show as null or zero if the incident was initiated by an officer.First Assigned Last Cleared Duration (sec) (hh:mm:ss) - The period of time (in seconds) between when dispatch assigns an officer to respond to an incident, to when the final police officer leaves the scene of the incident.First Assigned Last Cleared Duration (hh:mm:ss) - The period of time (hh:mm:ss) between when dispatch assigns an officer to respond to an incident, to when the final police officer leaves the scene of the incident.Call Received Second Arrived Duration (sec)- The period of time (in seconds) between when dispatch receives a call for service, and when the second officer arrives on scene. This field may show as null or zero if the incident was initiated by an officer.Call Received Second Arrived Duration (hh:mm:ss) - The period of time (hh:mm:ss) between when dispatch receives a call for service, and when the second officer arrives on scene. This field may show as null or zero if the incident was initiated by an officer.
Facebook
TwitterNOTICE: This dataset is not currently updating correctly and does not reflect current Crime Statistics. We hope to get this technical issue resolved shortly. In the interim, please direct all data requests to the Syracuse FOIL team. https://www.syr.gov/Departments/Law/FOIL Dated: 7/21/2025This 2025 crime data is the list of calls for service that the Syracuse Police Department responded to in 2025. These records does not include rape offenses as well as 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, this data is then mapped to the approximate location of that incident, using the 100 block level and a Geolocator File from Onondaga County GIS Department. This data is then updated on the Open Data Portal. The points should not be construed to be the exact point this incidents were reported to occur, rather the block where these incident is reported to occur. 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 Dictionary Date 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). LAT - The approximate latitude (not actual) that this call for service occurred. LONG- The approximate latitude (not actual) that this call for service occurred.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. Dataset Contact Information: Organization: Syracuse Police Department (SPD)Position: Data Program ManagerCity: Syracuse, NY E-Mail Address: opendata@syrgov.net
Facebook
Twitterhttps://data.syrgov.net/pages/termsofusehttps://data.syrgov.net/pages/termsofuse
This 2020 crime data is the list of crimes that the Syracuse Police Department responded to in 2020. 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 (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 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 DictionaryDR Number - Department Report (DR) number is a unique number assigned by the Records Management System, the first two numbers identify the year in which the incident was reported.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.
Facebook
TwitterThis 2024 crime data is the list of calls for service that the Syracuse Police Department responded to in 2024. These records does not include rape offenses as well as 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, this data is then mapped to the approximate location of that incident, using the 100 block level and a Geolocator File from Onondaga County GIS Department. This data is then updated on the Open Data Portal. The points should not be construed to be the exact point this incidents were reported to occur, rather the block where these incident is reported to occur.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).LAT - The approximate latitude (not actual) that this call for service occurred.LONG- The approximate latitude (not actual) that this call for service occurred.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.Dataset Contact Information:Organization: Syracuse Police Department (SPD)Position: Data Program ManagerCity: Syracuse, NYE-Mail Address: opendata@syrgov.net
Facebook
Twitterhttps://data.syrgov.net/pages/termsofusehttps://data.syrgov.net/pages/termsofuse
This 2019 crime data is the list of crimes that the Syracuse Police Department responded to in 2019. 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 DictionaryDR Number - Department Report (DR) number is a unique number assigned by the Records Management System, the first two numbers identify the year in which the incident was reported.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.
Facebook
Twitterhttps://data.syrgov.net/pages/termsofusehttps://data.syrgov.net/pages/termsofuse
This 2022 crime data is a list of 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 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.
Facebook
TwitterThis dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e