This dataset includes information related to all arrests and strip searches. A strip search refers to a search conducted by a police officer on a person, which includes the removal of some or all clothing and a visual inspection of the body. The dataset also includes indicators of whether a person was booked at a police station within 24 hours following a particular arrest event. Due to issues with the booking template, there may be some records where a person was strip searched, but the data does not indicate a booking (i.e., value = 0); in those cases, the user should presume a booking took place. The location of arrest is aggregated to the Division level and refers to where the arrest took place within Division boundaries. Users should not interpret location as the Division to which the arresting officer was assigned. For some arrests, the location could not be geo-coded or the arrest took place outside of City of Toronto boundaries in other jurisdictions; these are indicated by XX. The age of person arrested and/or strip searched is their age at the time of the arrest, as given to the arresting officer.

This dataset includes all Major Crime Indicators (MCI) occurrences by reported date and related offences since 2014.Major Crime Indicators DashboardDownload DocumentationThe Major Crime Indicators categories include Assault, Break and Enter, Auto Theft, Robbery and Theft Over (Excludes Sexual Violations). This data is provided at the offence and/or victim level, therefore one occurrence number may have several rows of data associated to the various MCIs used to categorize the occurrence.The downloadable datasets display the REPORT_DATE and OCC_DATE fields in UTC timezone.This data does not include occurrences that have been deemed unfounded. The definition of unfounded according to Statistics Canada is: “It has been determined through police investigation that the offence reported did not occur, nor was it attempted” (Statistics Canada, 2020).**The dataset is intended to provide communities with information regarding public safety and awareness. The data supplied to the Toronto Police Service by the reporting parties is preliminary and may not have been fully verified at the time of publishing the dataset. The location of crime occurrences have been deliberately offset to the nearest road intersection node to protect the privacy of parties involved in the occurrence. All location data must be considered as an approximate location of the occurrence and users are advised not to interpret any of these locations as related to a specific address or individual.NOTE: Due to the offset of occurrence location, the numbers by Division and Neighbourhood may not reflect the exact count of occurrences reported within these geographies. Therefore, the Toronto Police Service does not guarantee the accuracy, completeness, timeliness of the data and it should not be compared to any other source of crime data.By accessing these datasets, the user agrees to full acknowledgement of the Open Government Licence - Ontario.In accordance with the Municipal Freedom of Information and Protection of Privacy Act, the Toronto Police Service has taken the necessary measures to protect the privacy of individuals involved in the reported occurrences. No personal information related to any of the parties involved in the occurrence will be released as open data. ** Statistics Canada. 2020. Uniform Crime Reporting Manual. Surveys and Statistical Programs. Canadian Centre for Justice Statistics.

This dataset includes information related to all arrests and strip searches. A strip search refers to a search conducted by a police officer on a person, which includes the removal of some or all clothing and a visual inspection of the body. The dataset also includes indicators of whether a person was booked at a police station within 24 hours following a particular arrest event. Due to issues with the booking template, there may be some records where a person was strip searched, but the data does not indicate a booking (i.e., value = 0); in those cases, the user should presume a booking took place. The location of arrest is aggregated to the Division level and refers to where the arrest took place within Division boundaries. Users should not interpret location as the Division to which the arresting officer was assigned. For some arrests, the location could not be geo-coded or the arrest took place outside of City of Toronto boundaries in other jurisdictions; these are indicated by XX. The age of person arrested and/or strip searched is their age at the time of the arrest, as given to the arresting officer.

This dataset includes information related to all arrests and strip searches. A strip search refers to a search conducted by a police officer on a person, which includes the removal of some or all clothing and a visual inspection of the body. The dataset also includes indicators of whether a person was booked at a police station within 24 hours following a particular arrest event. Due to issues with the booking template, there may be some records where a person was strip searched, but the data does not indicate a booking (i.e., value = 0); in those cases, the user should presume a booking took place. The location of arrest is aggregated to the Division level and refers to where the arrest took place within Division boundaries. Users should not interpret location as the Division to which the arresting officer was assigned. For some arrests, the location could not be geo-coded or the arrest took place outside of City of Toronto boundaries in other jurisdictions; these are indicated by XX. The age of person arrested and/or strip searched is their age at the time of the arrest, as given to the arresting officer.

BackgroundDrug overdose causes approximately 183,000 deaths worldwide annually and 50,000 deaths in Canada and the United States combined. Drug-related deaths are concentrated among young people, leading to a substantial burden of disease and loss of potential life years. Understanding the epidemiology, patterns of care, and prognosis of drug-related prehospital emergencies may lead to improved outcomes.MethodsWe conducted a retrospective cohort study of out-of-hospital cardiac arrests with drug-related and presumed cardiac causes between 2007 and 2013 using the Toronto Regional RescuNet Epistry database. The primary outcome was survival to hospital discharge. We computed standardized case fatality rates, and odds ratios of survival to hospital discharge for cardiac arrests with drug-related versus presumed cardiac causes, adjusting for confounders using logistic regression.ResultsThe analysis involved 21,497 cardiac arrests, including 378 (1.8%) drug-related and 21,119 (98.2%) presumed cardiac. Compared with the presumed cardiac group, drug-related arrest patients were younger and less likely to receive bystander resuscitation, have initial shockable cardiac rhythms, or be transported to hospital. There were no significant differences in emergency medical service response times, return of spontaneous circulation, or survival to discharge. Standardized case fatality rates confirmed that these effects were not due to age or sex differences. Adjusting for known predictors of survival, drug-related cardiac arrest was associated with increased odds of survival to hospital discharge (OR1.44, 95%CI 1.15–1.81).InterpretationIn out-of-hospital cardiac arrest, patients with drug-related causes are less likely than those with presumed cardiac causes to receive bystander resuscitation or have an initial shockable rhythm, but are more likely to survive after accounting for predictors of survival. The demographics and outcomes among drug-related cardiac arrest patients offers unique opportunities for prehospital intervention.