Neighbourhood Crime Rates Open Data

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.多伦多社区边界文件（Toronto Neighbourhoods Boundary File）包含按社区划分的犯罪数据。可按犯罪行为及/或受害者为统计层级，获取袭击、汽车盗窃、自行车盗窃、破门入室盗窃、抢劫、大额盗窃（Theft Over）、杀人、枪击案件以及机动车内物品盗窃（Theft from Motor Vehicle）的统计计数。数据同时包含基于Environics Analytics每年发布的预测人口计算的、各社区每10万人犯罪率。本数据不包含被认定为无实据的案件。加拿大统计局（Statistics Canada）对无实据案件的定义为："经警方调查确认，报案所称的犯罪行为既未发生，也未实施未遂"（加拿大统计局，2020）。** 本数据集旨在为社区提供公共安全与公众认知相关信息。由报案方提供给多伦多警察局（Toronto Police Service）的数据仍处于初步阶段，在数据集发布时尚未完成全面核验。为保护案件相关人员的隐私，犯罪案件的发生位置已被刻意偏移至最近的道路交叉口节点。所有位置数据仅为案件发生的近似位置，建议用户切勿将此类位置解读为与特定地址或个人存在关联。 注意：由于案件位置经过偏移，按警区（Division）和社区统计的数值可能无法准确反映对应地理区域内上报的案件实际数量。因此，多伦多警察局不保证本数据的准确性、完整性与时效性，且不得将其与其他任何犯罪数据来源进行比对。用户访问本数据集即表示完全同意遵守《安大略省开放政府许可》（Open Government Licence - Ontario）。根据《市政信息自由与隐私保护法》（Municipal Freedom of Information and Protection of Privacy Act），多伦多警察局已采取必要措施保护报案案件涉及人员的隐私。作为公开数据，任何与案件相关方的个人信息均不会被披露。** 加拿大统计局. 2020. 《统一犯罪报告手册》. 调查与统计项目. 加拿大司法统计中心（Canadian Centre for Justice Statistics）