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.

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 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.

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 reported crime offences from 2014 to 2020 by reported date aggregated by division. This data includes all crimes reported to the Toronto Police Service, including, but not limited to, those that may have been deemed unfounded after investigation, those that may have occurred outside the City of Toronto limits, or those that have no verified location.

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.

If an occurrence is categorized as multiple offence types, it would be included in multiple categories. The count presented do not indicate the number of distinct occurrences.

The reported crimes categories and subcategories are listed below.

Category

Subtype

Crimes against the Person

Assault Attempt Murder Robbery-Financial Robbery-Other Sexual Violation Other

Crimes against Property

Auto Theft Break & Enter – Apartment Break & Enter – Commercial Break & Enter – House Break & Enter – Other Theft Over $5000 Theft Under $5000 Fraud Other

Criminal Code Traffic

Other

Controlled Drugs and Substances Act

Other

Other Criminal Code Violations

Other

Other Federal Statute Violations

Other

General Qualifiers

No Specified Address (NSA) includes any occurrences reported outside the City of Toronto limits or those that have no verified location.

·
Includes reported crimes deemed as unfounded

·
Filtered by reported year

·
Crimes Against the Person does not include where the victim name is nullDownload Metadata

This dataset includes all Major Crime Indicators (MCI) occurrences by reported date and related offences since 2014. Major Crime Indicators Dashboard Download Documentation The 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.

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. This data is aggregated by search year and criteria selection.There was a change in reporting effective October 2020. As a result, the type of item found during the search is not collected in a comparable manner. Now the information is identified as whether or not an object has been identified. This change has been reflected in the dataset.General Qualifiers Dependent on data entered into the Booking – 3 Search of Person Text Template from VersadexFiltered by Search DateCannot be broken down by division due to consistency issues with data entryMay include duplicates if multiple text templates entered for the same searchDownload the ASR Documentation and Metadata.

This dataset includes the Crime Data by Neighbourhood. Counts are available for Assault, Auto Theft, Break and Enter, Robbery, Theft Over, Homicide and Shooting & Firearm Discharges. Data also includes the crime rate per 100,000 population calculated using the population estimates provided by Environics Analytics. Following the standard definition by StatsCan, crime rate is calculated as the crime count per 100,000 population* per year. This metric facilitates the comparisons of crime between geographic areas with different size of populations. Comparing to crime count, crime rate provides a fairer comparison of the crime over time by taking into account the change in population in the region. Note: Fields have been included for the new 158 City of Toronto Neighbourhoods structure *Population figures reflect only the resident population of a region. The temporary population such as the commuters and business patrons are not included.

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.

This table provides information on the time periods of the day in which incidents took place and which resulted in an enforcement action and/or reported use of force. It also gives the perceived race of people involved in those incidents as recorded in the occurrence reports. The times of day are broken up into five time periods expressed in a 24 hour format: • Early morning (00:01 to 05:00)• Morning (5:01 to 11:00)• Afternoon (11:01-16:00)• Evening (16:01 to 20:00)• Night (20:01 to 00:00)

This dataset includes all Level 3 and Level 4 searches that were conducted. 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. This data is aggregated by search year and criteria selection. There was a change in reporting effective October 2020. As a result, the type of item found during the search is not collected in a comparable manner. Now the information is identified as whether or not an object has been identified. This change has been reflected in the dataset. General Qualifiers Dependent on data entered into the Booking – 3 Search of Person Text Template from Versadex Filtered by Search Date Cannot be broken down by division due to consistency issues with data entry May include duplicates if multiple text templates entered for the same search

Firearm TypeBreakdown of firearm type for every firearm that was seized by the TPSCrime GunsA crime gun is “any firearm that has been or suspected to have been used in in a criminal offence; any firearm that is obtained, possessed, or intended to be used to facilitate criminal activity; any firearm that has had a serial number removed, altered or obliterated; and any weapon that has been adapted for use as a firearm” (Toronto Police Service Governance Definitions and Service Procedure 09‐03).Crime Guns – Firearm TypeCrime guns seized by TPS, broken down by type of firearmCrime Guns – Firearm ClassificationCrime guns seized by TPS, broken down by firearm classificationStolen Firearms – Recovered by TPSBreakdown of firearms recovered by TPS by jurisdiction a firearm was reported stolen Firearms Reported Stolen and Recovered by Firearm TypeBreakdown of firearm types for those reported stolen and recovered by TPSTPS Firearm Thefts by Premise TypeBreakdown of premise types where a firearm was stolenFirearm thefts reported to TPS – Type of Firearm StolenBreakdown of firearm type stolenGeneral Qualifiers Each report is generated with the statistics for the current year’s report Each year’s data will be archived as historical data, and not refreshed and updated for the yearly upload of open dataDownload the ASR Documentation and Metadata.

Field Information Requests (FIRS)As part of our ongoing commitment to open data, the Toronto Police Service continues to release data sets relating to completed Municipal Freedom of Information and Protection of Privacy Act requests that are of public interest.This data includes Field Information Reports reported between 2008.01.01 and 2013.11.04. Click here for more informationIn 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. No personal information related to any of the parties involved will be released as open data.This data reflects information entered by Service members and may contain data entry issues.These data sets, which are broken down by reported year, are additional releases within the Public Safety Data Portal.

This dataset provides a count of personnel broken down by rank classification for Uniform, Civilian, and Other Staff. General Qualifiers Does not include temporary and part-time civilian members.

Firearm Type Breakdown of firearm type for every firearm that was seized by the TPS Crime Guns A crime gun is “any firearm that has been or suspected to have been used in in a criminal offence; any firearm that is obtained, possessed, or intended to be used to facilitate criminal activity; any firearm that has had a serial number removed, altered or obliterated; and any weapon that has been adapted for use as a firearm” (Toronto Police Service Governance Definitions and Service Procedure 09‐03). Crime Guns – Firearm Type Crime guns seized by TPS, broken down by type of firearm Crime Guns – Firearm Classification Crime guns seized by TPS, broken down by firearm classification Stolen Firearms – Recovered by TPS Breakdown of firearms recovered by TPS by jurisdiction a firearm was reported stolen Firearms Reported Stolen and Recovered by Firearm Type Breakdown of firearm types for those reported stolen and recovered by TPS TPS Firearm Thefts by Premise Type Breakdown of premise types where a firearm was stolen Firearm thefts reported to TPS – Type of Firearm Stolen Breakdown of firearm type stolen General Qualifiers Each report is generated with the statistics for the current year’s report Each year’s data will be archived as historical data, and not refreshed and updated for the yearly upload of open data

This dataset provides a count of personnel broken down by command level.

Field Information Requests (FIRS)As part of our ongoing commitment to open data, the Toronto Police Service continues to release data sets relating to completed Municipal Freedom of Information and Protection of Privacy Act requests that are of public interest.This data includes Field Information Reports reported between 2008.01.01 and 2013.11.04. Click here for more informationIn 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. No personal information related to any of the parties involved will be released as open data.This data reflects information entered by Service members and may contain data entry issues.These data sets, which are broken down by reported year, are additional releases within the Public Safety Data Portal.

This dataset provides a count of personnel broken down by rank classification for Uniform, Civilian, and Other Staff.

See Parking Ticket Data Readme file Approximately 2.8 million parking tickets are issued annually across the City of Toronto. This dataset contains non-identifiable information relating to each parking ticket issued for each calendar year. The tickets are issued by Toronto Police Services (TPS) personnel as well as persons certified and authorized to issue tickets by TPS. This data set contains complete records only. Incomplete records in the City database are not included in the data set. Incomplete records may exist due to a variety of reasons e.g. the vehicle registration is out-of-province, tickets paid prior to staff entering the ticket data, etc.The volume of incomplete records relative to the overall volume is low and therefore presents insignificant impact to trend analysis. The columns in this data are defined as follows: tag_number_masked: Parking Violation Notice number or Violation/Ticket Number, used to create the record in city systems date_of_infraction: Violation Date or the date the offence was committedfield name to Date of Violation. infraction_code: Violation Code that refers to the parking bylaw that the vehicle has violated. infraction_description: Short description of the Violation Code set_fine_amount: Penalty Amount prescribe in the bylaw for the Violation Code time_of_infraction: Violation Time in which the offence was committed, and ticket issued location1: First part of the location of the violation where the offence was committed. This field is used to capture the proximity of the location and only captures the following information, NR=near, AT=at, OPP=opposite, S/S=south side, E/O=east of, etc location2: Second part of the location of the violation where the offence was committed, used to capture the street name or address of the location location3: Used in the same manner as the first location. This field is not always used, only in the event that the officer issues the violation near a corner location4: Used in the same manner as the second location, also only used when the officer issues the violation near a corner province: Province where the licence plate associated with the violation is registered Please note: for certain years, you will need to split the files yourself if you plan on reading the data in Microsoft Excel.

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