The number of police officers in Toronto, in the Canadian province of Ontario has fluctuated over the past twenty years. There were ***** in 2000, and ***** in 2023. The year in which there were the most police officers was 2010, with a peak of *****, while in 2019, the number had dropped below *****.In 2023, Toronto was the city that employed the highest number of police officers in Canada.

Over the past twenty years, the number of police officers per 100,000 population in Toronto, in the Canadian province of Ontario, has fluctuated. This rate overall increased between 2000 and 2010, from *** to *****, and then declined quite remarkably, reaching ***** in 2019. By 2023, the rate of police officers had risen slightly, to *****. That same year, Toronto was the city that employed the highest number of police officers in Canada.

Data on police personnel (police officers by gender, civilian and other personnel), police officers and authorized strength per 100,000 population, authorized police officer strength, population, net gain or loss from hirings and departures, police officers eligible to retire and selected crime statistics. Data is provided for municipal police services, 2000 to 2023.

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 statistic shows the total number of police officers in Canada from 2000 to 2023, distinguished by gender. In 2023, 55,043 male and 16,429 female police officers were on duty in Canada.

This table provides monthly counts of incidents which officers responded to from different call sources and which resulted in an enforcement action and/or reported use of force. Call sources include: 911 calls for service to which an officer was dispatched, officer initiated interactions, and other source types. There were records for which no call type information was available (i.e., NULL value) and are excluded from the table.

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 break and enter occurrences by reported date and related offences since 2014.Break and Enter DashboardDownload DocumentationThis 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 all Persons in Crisis (PIC) calls for service attended (CFSA) from 2014 which includes the following Event Types: Attempt Suicide, Person in Crisis, Elopee, Overdose and Threaten Suicide. To protect the privacy of individuals involved in Calls for Service, these Event Types have been aggregated into Person in Crisis calls (Person in Crisis, Elopee), Suicide-related calls (Attempt Suicide, Threaten Suicide), and Overdose calls. Persons in Crisis (PIC) DashboardsDownload DocumentationThis dataset includes only events that were attended by an officer of the Toronto Police Service (TPS), but excludes events attended by TPS members in Parking, Marine, Court or Primary Report Intake Management and Entry (PRIME). This dataset is queried based on event date. The downloadable datasets display the EVENT_DATE field in UTC timezone. Note: Fields have been included for both the old 140 City of Toronto Neighbourhoods structure as well as the new 158 City of Toronto Neighbourhoods structure.

The Toronto’s Police Service Annual Statistical Report is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, enforcement and other administrative information.This report is one of several components of the ASR open data release. More detailed information, a comprehensive guide to this report and the rest of the components of the ASR can be found here: data.torontopolice.on.ca/pages/annualstatisticalreport

The Toronto’s Police Service Annual Statistical Report (ASR) is a comprehensive overview of police related statistics including reported crimes, victims of crime, search of persons, firearms, traffic collisions, personnel, budget, communications, public complaints, regulated interactions and other administrative information. This dataset includes all shooting occurrences from 2014 to 2019 by occurred date aggregated by Division. This data includes all shooting-related events reported to the Toronto Police Service, including, but not limited to, those that may have been deemed unfounded after investigation. Data is accurate as of the date and time of reporting. 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. The data has been aggregated by year, category, subtype and geographic division. As there is no criminal offence code for shootings, a shooting occurrence number may also be present in other data sets including, but not limited to, assault and robbery. Note: The further breakdown of this information at the event level will be made available in the future releases of the Shootings open data. Shootings in this data set include both firearm discharges and shooting events, which are defined as follows: Shooting Event/Occurrence: Any incident in which a projectile is discharged from a firearm (as defined under the Criminal Code of Canada) and injures a person. This excludes events such as suicide and police involved firearm discharges. Firearm Discharge: Any incident where evidence exists that a projectile was discharged from a firearm (as defined under the Criminal Code of Canada) including accidental discharge (non-police), celebratory fire, drive-by etc. Persons Injured (previously classified as “victims”): A person who was struck by a bullet(s) as a result of the discharge of a firearm (as defined under the Criminal Code of Canada). This excludes events such as suicide, police-involved event or where the weapon used was not a real firearm (such as pellet gun, air pistol, “sim-munition” etc.) Injury Levels Death: Where the injured person (as defined above) has died as a result of injuries sustained from a bullet(s). Injuries: Where the injured person (as defined above) has non-fatal physical injuries as a result of a bullet(s). This data is related to table (ASR-SH-TBL-001) in The Annual Statistical Report. Additional information can be found here.

This dataset is retired. Please see Toronto Police Budget for a more updated dataset. In response to requests for greater transparency on the Toronto Police Service budget, a detailed program by program, line-by-line breakdown of the Toronto Police Service Operating Budget is provided in the following tables. The budget information has been separated for each command level and unit within the Toronto Police Service. The various files are listed below: • Service Total • Board • Chief of Police • Priority Response Command • Communities & Neighbourhoods Command • Corporate Support Command • Human Resources Command • Information Technology Command • Specialized Operations Command • Parking Enforcement • Centralized Charges and Grants Centralized Service charges represents an administrative cost centre group for items that impact the entire organization, are not assigned to any specific area and support priorities of all the Service's Command areas. The centralized budget includes such items as reserve contributions, medical & dental and other benefits, gasoline, uniforms and vehicle related costs. Grants represent funding received from other levels of government for specific projects and initiatives. The grant related expenditures are offset by grant revenue, resulting in net zero impact to the Service. The Service can only budget for grants which have signed contracts.

This dataset contains summary table data of information from the provincial Use of Force Reports and occurrences that resulted in an enforcement action. The data used to produce these summary data comes from two sources: a) information about enforcement actions, such as calls for service types and occurrence categories, come from the Service's Records Management System and b) information related to reported use of force, such as highest types of force and perceived weapons, comes from the provincial use of force reports. The data counts unique occurrences which resulted in a police enforcement action or incidents of reported use of force. Hence, there may be more than one person and more than one officer involved in enforcement action incident or reported use of force incident. Since the summary tables are of incidents, where there was more than one person, descriptors such as perceived race refer to the composition of person(s) involved in the enforcement action incident. For example, if the incident involved more than one person, each perceived to be of a different race or gender group, then the incident is categorized as a “multiple race group.” For the purpose of the race-based data analysis, the data includes all incidents which resulted in a police enforcement action and excludes other police interactions with the public, such as taking victim reports, routine traffic or pedestrian stops, or outreach events. Enforcement actions are occurrences where person(s) involved were arrested resulting in charges (including released at scene) or released without charges; received Provincial Offences Act Part III tickets; summons; cautions; diversions; apprehensions, mental health-related incidents as well as those identified as “subject” or “suspect” in an incident to which an officer attended. Reported use of force incident are those in which a Toronto Police Service officer used force and are required to submit a report under the Police Services Act, 1990. For the purposes of the race-based data analysis, it excludes reportable incidents in which force was used against animals, team reports, and incidents where an officer unintentionally discharged a Service weapon during training. Each reported use of force incident is counted once, regardless of the number of officers or subjects involved.

This series comprises an Index to the Charge books of the Toronto Police Station.

The handwritten index books are arranged alphabetically by the first letter only of the surname. Index entries were added chronologically as new charges were recorded. For each person, the index entry records the page number and charge book number. The index covers charge books 24-37.

This dataset provides a breakdown of the total number of public complaints from the Law Enforcement Complaints Agency (L.E.C.A.) broken down by complaints that were investigated and not investigated. General Qualifiers Data pertains to external public complaints that have been received by PRS and entered in PSIS as of the data extraction date. Data pertains to TPS uniform members only. Numbers are subject to change as the data in PSIS is frequently being updated as complaints are concluded.

Toronto Neighbourhoods Boundary File includes Crime Data by Neighbourhood. Counts are available at the offence and/or victim level for Assault, Auto Theft, Bike Theft, Break and Enter, Robbery, Theft Over, Homicide, Shootings and Theft from Motor Vehicle. Data also includes crime rates per 100,000 people by neighbourhood based on each year's Projected Population by Environics Analytics.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 all theft over occurrences by reported date and related offences since 2014.Theft Over DashboardDownload DocumentationThis 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 all Robbery occurrences by reported date and related offences since 2014.Robbery DashboardDownload DocumentationThis 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 a line-by-line breakdown of the Toronto Police Service’s approved budget and actual expenditures at a Service-wide level. Approved budget and actual expenditures are defined as follows: Approved Budget: Operating funding approved by the Toronto Police Services Board and City Council for a specific fiscal year. Actual Expenditures: Operating expenses incurred by the Toronto Police Service during a fiscal year.

This dataset contains all shooting-related occurrences reported to the Toronto Police Service since 2004, including, but not limited to, those that may have been deemed unfounded after investigation. Shootings & Firearm Discharges Dashboard Download Documentation Shooting incidents in this dataset include both firearm discharges and shooting events, which are defined below. In 2014, the Toronto Police Service changed records management systems. For occurrences prior to this date, coordinates are limited, therefore for some events with NULL coordinates the neighbourhood will be identified as ‘NSA’ to indicate ‘Not Specified Area.’ The downloadable datasets display the OCC_DATE fields in UTC timezone. Shooting Event/Occurrence Any incident in which a projectile is discharged from a firearm (as defined under the Criminal Code of Canada) and injures a person. This excludes firearm discharges, suicide, and police involved firearm discharges. Firearm Discharge Any incident where evidence exists that a projectile was discharged from a firearm (as defined under the Criminal Code of Canada) including accidental discharge (non-police), celebratory fire, drive-by etc. Events categorized as firearm discharges do not include any events where a person’s injuries were sustained from a bullet(s). Persons Injured (previously classified as “victims”): A person who was struck by a bullet(s) as a result of the discharge of a firearm (as defined under the Criminal Code of Canada). This excludes events such as suicide, police-involved event or where the weapon used was not a real firearm (such as pellet gun, air pistol, “sim-munition” etc.). Injury Levels – Death Where the injured person (as defined above) has died as a result of injuries sustained from a bullet(s). These events are counted as shootings. Injury Levels – Injuries