Theft Over Open Data

This dataset includes all theft over occurrences by reported date and related offences since 2014. Theft Over Dashboard Download Documentation 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 CSIs 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.本数据集涵盖2014年以来所有按报案日期统计的盗窃（Theft Over）案件及相关联的犯罪事件。盗窃（Theft Over）案件数据仪表盘与下载文档说明： 本数据以犯罪事件及/或受害者个体为统计粒度，因此单个事件编号可能对应多条数据行，这些数据行关联用于对该事件进行分类的各类犯罪场景标识符（CSIs）。 可下载数据集的报案日期（REPORT_DATE）与案发日期（OCC_DATE）字段采用协调世界时（UTC）时区格式。 本数据未纳入经认定为"无依据"的犯罪事件。加拿大统计局（Statistics Canada）对"无依据"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年）。 本数据集旨在为社区提供公共安全相关信息，助力公众安全认知提升。 由报案方提交给多伦多警察局（Toronto Police Service）的原始数据为初步数据，在本数据集发布时可能尚未完成全部核验流程。 为保护案件相关人员的隐私，犯罪事件的地理位置已被偏移至最近的道路交叉口节点。所有地理位置数据仅为案件发生的近似位置，使用者请勿将其解读为与特定地址或个人相关联的信息。 注意：由于案件地理位置存在偏移，按警区及社区划分的统计数值可能无法准确反映该地理区域内上报的案件实际数量。因此，多伦多警察局（Toronto Police Service）不对数据的准确性、完整性及时效性提供担保，且不得将本数据与其他任何犯罪数据源进行比对。 用户访问本数据集即视为完全同意遵守安大略省开放政府许可协议（Open Government Licence - Ontario）。 根据《市政信息自由与隐私保护法》，多伦多警察局（Toronto Police Service）已采取必要措施保护报案案件相关人员的隐私。任何与案件当事人相关的个人信息均不会作为开放数据对外发布。 ** 加拿大统计局（Statistics Canada）. 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）。