25 datasets found
  1. Break and Enter Open Data

    • data.torontopolice.on.ca
    • opendata-torontops.opendata.arcgis.com
    • +2more
    Updated Mar 28, 2023
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    Toronto Police Service (2023). Break and Enter Open Data [Dataset]. https://data.torontopolice.on.ca/datasets/TorontoPS::break-and-enter-open-data/about
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Area covered
    Description

    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.

  2. Major Crime Indicators Open Data

    • data.torontopolice.on.ca
    • tps.ca
    Updated Mar 27, 2023
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    Toronto Police Service (2023). Major Crime Indicators Open Data [Dataset]. https://data.torontopolice.on.ca/datasets/TorontoPS::major-crime-indicators-open-data/
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    Dataset updated
    Mar 27, 2023
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Area covered
    Description

    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.

  3. Neighbourhood Crime Rates Open Data

    • hub.arcgis.com
    • data.torontopolice.on.ca
    • +2more
    Updated Sep 13, 2021
    + more versions
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    Toronto Police Service (2021). Neighbourhood Crime Rates Open Data [Dataset]. https://hub.arcgis.com/datasets/ea0cfecdb1de416884e6b0bf08a9e195
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    Dataset updated
    Sep 13, 2021
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Area covered
    Description

    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.

  4. p

    Major Crime Indicators - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Aug 18, 2020
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    (2020). Major Crime Indicators - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/major-crime-indicators
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    Dataset updated
    Aug 18, 2020
    Description

    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.

  5. u

    Major Crime Indicators - Catalogue - Canadian Urban Data Catalogue (CUDC)

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Jun 10, 2025
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    (2025). Major Crime Indicators - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/city-toronto-major-crime-indicators
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    Dataset updated
    Jun 10, 2025
    Description

    This dataset includes all Major Crime Indicators (MCI) occurrences by reported date. The Major Crime Indicators categories are Assault, Break and Enter, Auto Theft, Robbery and Theft Over (Excludes Sexual Assaults). 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). This data includes all MCI occurrences reported to the Toronto Police Service, including those where the location has not been able to be verified. As a result, coordinate fields may appear blank. Likewise, this includes occurrences where the coordinate location is outside the City of Toronto. 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

  6. Reported Crimes ASR RC TBL 001

    • data.torontopolice.on.ca
    Updated Jun 16, 2021
    + more versions
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    Toronto Police Service (2021). Reported Crimes ASR RC TBL 001 [Dataset]. https://data.torontopolice.on.ca/maps/9825d05b7948462aabc45f7f5757c374
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    Dataset updated
    Jun 16, 2021
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Description

    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

  7. p

    Neighbourhood Crime Rates - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Sep 18, 2020
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    (2020). Neighbourhood Crime Rates - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/neighbourhood-crime-rates
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    Dataset updated
    Sep 18, 2020
    Description

    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.

  8. Theft Over Open Data

    • data.torontopolice.on.ca
    • hub.arcgis.com
    • +2more
    Updated Mar 28, 2023
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    Toronto Police Service (2023). Theft Over Open Data [Dataset]. https://data.torontopolice.on.ca/maps/TorontoPS::theft-over-open-data
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Area covered
    Description

    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.

  9. Incident-based crime statistics, by detailed violations, police services in...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +3more
    Updated Jul 22, 2025
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    Government of Canada, Statistics Canada (2025). Incident-based crime statistics, by detailed violations, police services in Ontario [Dataset]. http://doi.org/10.25318/3510018001-eng
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    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Ontario, Canada
    Description

    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.

  10. p

    Police Annual Statistical Report - Miscellaneous Firearms - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Nov 18, 2020
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    (2020). Police Annual Statistical Report - Miscellaneous Firearms - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/police-annual-statistical-report-miscellaneous-firearms
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    Dataset updated
    Nov 18, 2020
    Description

    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

  11. Use of Force: Time of Day Trends (RBDC-UOF-TBL-002)

    • data.torontopolice.on.ca
    Updated Nov 10, 2022
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    Toronto Police Service (2022). Use of Force: Time of Day Trends (RBDC-UOF-TBL-002) [Dataset]. https://data.torontopolice.on.ca/maps/TorontoPS::use-of-force-time-of-day-trends-rbdc-uof-tbl-002
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    Dataset updated
    Nov 10, 2022
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Description

    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)

  12. u

    Neighbourhood Crime Rates - Catalogue - Canadian Urban Data Catalogue (CUDC)...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Jun 10, 2025
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    (2025). Neighbourhood Crime Rates - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/city-toronto-neighbourhood-crime-rates
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    Dataset updated
    Jun 10, 2025
    Description

    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.

  13. p

    Police Annual Statistical Report - Search of Persons - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Nov 18, 2020
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    (2020). Police Annual Statistical Report - Search of Persons - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/police-annual-statistical-report-search-of-persons
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    Dataset updated
    Nov 18, 2020
    Description

    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 Download the ASR Documentation.

  14. u

    Police Annual Statistical Report - Administrative - Catalogue - Canadian...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Jun 10, 2025
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    (2025). Police Annual Statistical Report - Administrative - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/city-toronto-police-annual-statistical-report-administrative
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    Dataset updated
    Jun 10, 2025
    Description

    This dataset provides a breakdown of administrative information. This data is compiled and provided by several units of the Toronto Police Service. The data is broken down into the following categories: Community Events, Crime Stoppers, Volunteers, Fleet, Industrial Liaison, and Victim Services.

  15. 2009 FIRS

    • data.torontopolice.on.ca
    • hub.arcgis.com
    • +2more
    Updated Nov 29, 2017
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    Toronto Police Service (2017). 2009 FIRS [Dataset]. https://data.torontopolice.on.ca/datasets/2009-firs
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    Dataset updated
    Nov 29, 2017
    Dataset authored and provided by
    Toronto Police Servicehttps://www.tps.ca/
    Description

    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.

  16. a

    Search of Persons (ASR-SP-TBL-001)

    • community-esrica-apps.hub.arcgis.com
    • data.torontopolice.on.ca
    • +1more
    Updated Jul 7, 2023
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    Toronto Police Service (2023). Search of Persons (ASR-SP-TBL-001) [Dataset]. https://community-esrica-apps.hub.arcgis.com/items/8ee1697ce6af44a78640686a1feeeefb
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    Dataset updated
    Jul 7, 2023
    Dataset authored and provided by
    Toronto Police Service
    Description

    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.

  17. p

    Police Annual Statistical Report - Personnel by Rank - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Nov 18, 2020
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    (2020). Police Annual Statistical Report - Personnel by Rank - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/police-annual-statistical-report-personnel-by-rank
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    Dataset updated
    Nov 18, 2020
    Description

    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.

  18. p

    Police Annual Statistical Report - Total Public Complaints - Dataset - CKAN

    • ckan0.cf.opendata.inter.prod-toronto.ca
    Updated Nov 18, 2020
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    (2020). Police Annual Statistical Report - Total Public Complaints - Dataset - CKAN [Dataset]. https://ckan0.cf.opendata.inter.prod-toronto.ca/dataset/police-annual-statistical-report-total-public-complaints
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    Dataset updated
    Nov 18, 2020
    Description

    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. Download the ASR Documentation.

  19. u

    Police Annual Statistical Report - Miscellaneous Firearms - Catalogue -...

    • beta.data.urbandatacentre.ca
    • data.urbandatacentre.ca
    Updated Jun 10, 2025
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    (2025). Police Annual Statistical Report - Miscellaneous Firearms - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://beta.data.urbandatacentre.ca/dataset/city-toronto-police-annual-statistical-report-miscellaneous-firearms
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    Dataset updated
    Jun 10, 2025
    Description

    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

  20. Cigarette smoking habits of Torontonians by age 2019

    • statista.com
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    Statista, Cigarette smoking habits of Torontonians by age 2019 [Dataset]. https://www.statista.com/statistics/1011376/smoking-status-in-toronto-by-age/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 18, 2019 - May 21, 2019
    Area covered
    Canada
    Description

    This statistic displays cigarette smoking behavior in Toronto, Ontario as of May 2019, broken down by age group. Some ** percent of survey respondents aged between 19 and 24 stated that they had never smoked cigarettes.

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Toronto Police Service (2023). Break and Enter Open Data [Dataset]. https://data.torontopolice.on.ca/datasets/TorontoPS::break-and-enter-open-data/about
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Break and Enter Open Data

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Dataset updated
Mar 28, 2023
Dataset authored and provided by
Toronto Police Servicehttps://www.tps.ca/
Area covered
Description

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.

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