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.

Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2024.

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.

Incident-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.

The rate of incidents of violent criminal code violations in Canada increased by 51.1 incidents (+3.71 percent) in 2023 in comparison to the previous year. In total, the rate of incidents amounted to 1,427.94 incidents in 2023.

The homicide rate in Toronto decreased by *** incidents (-***** percent) in 2023 in comparison to the previous year. Nevertheless, the last two years recorded a significant higher homicide rate than the preceding years.

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), Canada, provinces, territories and Census Metropolitan Areas, 1998 to 2024.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

This statistic shows the crime severity index value of metropolitan areas in Canada in 2023. As of 2023, the crime severity index in Saskatoon, Saskatchewan, stood at 116.31.

Crime severity index (violent, non-violent, youth) and weighted clearance rates (violent, non-violent), police services in Ontario, 1998 to 2024.

Dataset

This dataset was created by Datastuffplus

Released under CC0: Public Domain

Contents

1. Dataset Overview

This dataset includes all Major Crime Indicators (MCI) occurrences by reported date and related offences, covering the period from 2014 to January 2025. The dataset categorizes crimes into the following Major Crime Indicator (MCI) categories: - Assault - Break and Enter - Auto Theft - Robbery - Theft Over (Excludes Sexual Violations)

Please read and adhere to the instructions in 2. Credits and Attribution . Thank you. Each crime occurrence may have multiple rows associated with it due to the way MCIs are classified at the offence and/or victim level. The dataset includes REPORT_DATE and OCC_DATE fields, both presented in UTC timezone.

Important Notes:

Unfounded cases are excluded: As defined by Statistics Canada (2020), "Unfounded" means police investigations determined that the reported offence did not occur or was not attempted.

Data verification: Crime data is preliminary and may not be fully verified at the time of publication.

Privacy protection: Crime occurrence locations have been offset to the nearest road intersection node to ensure privacy. These locations should be considered approximate and must not be interpreted as exact addresses.

Geographical accuracy: The Toronto Police Service does not guarantee the exact count of occurrences in specific divisions and neighborhoods due to location offsets. Therefore, this dataset should not be compared to other sources of crime data.

2. Credits and Attribution

If you use this dataset, you must give attribution by writing the following 3 sentences:

1. I am thankful to Mohammad Nazarudin Badi for uploading the dataset on Kaggle. Link: "https://www.kaggle.com/datasets/mohammadbadi/crimes-in-toronto/data".

2. This dataset is made available under the Open Government Licence – Ontario.

3. Additionally, credit is due to the Toronto Police Service for compiling and providing access to this data.

This attribution must be included in all materials where the dataset is used, including but not limited to: - Code comments - Readme files - Marketing materials - Acknowledgment sections of research papers, websites, blogs, theses and dissertations

Open Government Licence – Ontario

This dataset is licensed under the Open Government Licence – Ontario, which allows users to: Copy, modify, publish, translate, adapt, distribute, or use the dataset in any format for any lawful purpose, including commercial use.

Conditions of Use:

Users must acknowledge the source of the dataset by including an attribution statement and, where possible, provide a link to this licence. If no specific attribution statement is provided by the Information Provider, users must include the following statement: Contains information licensed under the Open Government Licence – Ontario.

Exemptions:

This licence does not grant rights to: - Personal information - Records inaccessible under the Freedom of Information and Protection of Privacy Act (Ontario) - Third-party rights that the Toronto Police Service is not authorized to license - Official symbols, logos, crests, or names of the Information Provider - Any information subject to other forms of intellectual property rights (e.g., patents, trademarks)

No Endorsement & No Warranty

Users must not use the dataset in a way that suggests any official status or endorsement by the Toronto Police Service or the Government of Ontario.

The dataset is provided "as is" with no warranties regarding accuracy, completeness, or timeliness. The Information Provider holds no liability for any loss, damage, or errors arising from its use.

Legal Information

This licence is governed by the laws of Ontario and Canada. Any legal proceedings must be brought before the courts of Ontario. By accessing and using this dataset, users agree to fully comply with the Open Government Licence – Ontario and properly credit the contributors as outlined above.

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 statistic shows the homicide rate in Canada in 2023, distinguished by metropolitan areas. In 2023, the homicide rate was highest in Thunder Bay, with 5.39 victims per 100,000 population. During the same year, the national homicide rate was 1.94 per 100,000 population in Canada.

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

Incident-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), Canada, provinces, territories, Census Metropolitan Areas and Canadian Forces Military Police, 1998 to 2024.

The data contains the number of criminal incidents, the clearance status of those incidents and persons-charged, by MCYS region (Central, East, North, Toronto, West, Other). The survey was designed to measure the incidence of crime in our society and its characteristics. The Canadian Centre for Justice Statistics, in co-operation with the policing community, collects police-reported crime statistics through the UCR survey. Adapted from Statistics Canada, CANSIM Table 252-0077, 2015. This does not constitute an endorsement by Statistics Canada of this product. *[MCYS]: Ministry of Children and Youth Services *[ CANSIM]: Canadian Socio-Economic Information Management System *[UCR]: Uniform Crime Reporting

In 2023 in Toronto, the largest city in the Canadian province of Ontario, the most frequent type of property crime recorded by police was theft of under ***** Canadian dollars of non-motor vehicles, with almost ****** incidents. In 2023, Toronto was the city with the highest number of property crimes in Canada, ahead of Vancouver.

Victims of gang-related homicides (total number of homicide victims; number of homicide victims - unknown gang-relation; number of homicide victims - known gang relation; number of gang-related homicide victims; percentage of gang-related homicide victims; rate (per 100,000 population) of gang-related homicide victims), Canada and regions, 1999 to 2024.

Open Government License - Ontario Toronto Robbery Data is downloaded from the Toronto Police Service Open Data Portal

This dataset includes all Robbery occurrences by reported date and related offences from 2014 to June 30, 2022. Robberies are thefts with the use of force (assault, threat, etc.)

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.

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.