HART - 2021 Census of Canada - Selected Characteristics of Census Households for Housing Need - Canada, all provinces and territories at the Census Division (CD) and Census Subdivision (CSD) level [custom tabulation]

Note: The data release is complete as of August 14th, 2023. 1. (Added April 4th) Canada and Census Divisions = Early April 2023 2. (Added May 1st) Ontario, British Columbia, and Alberta Census Subdivisions (CSDs) = Late April 2023 3a. (Added June 8th) Manitoba and Saskatchewan CSDs 3b. (Added June 12th) Quebec CSDs = June 12th 2023 4. (Added June 30th) Newfoundland and Labrador, Prince Edward Island, New Brunswick, and Nova Scotia CSDs = Early July 2023 5. (Added August 14th) Yukon, Northwest Territories, and Nunavut CSDs = Early August 2023. For more information, please visit HART.ubc.ca. Housing Assessment Resource Tools (HART) This dataset contains 18 tables which draw upon data from the 2021 Census of Canada. The tables are a custom order and contains data pertaining to core housing need and characteristics of households. 17 of the tables each cover a different geography in Canada: one for Canada as a whole, one for all Canadian census divisions (CD), and 15 for all census subdivisions (CSD) across Canada. The last table contains the median income for all geographies. Statistics Canada used these median incomes as the \"area median household income (AMHI),\" from which they derived some of the data fields within the Shelter Costs/Household Income dimension. Included alongside the data tables is a guide to HART's housing need assessment methodology. This guide is intended to support independent use of HART's custom data both to allow for transparent verification of our analysis, as well as supporting efforts to utilize the data for analysis beyond what HART did. There are many data fields in the data order that we did not use that may be of value for others. The dataset is in Beyond 20/20 (.ivt) format. The Beyond 20/20 browser is required in order to open it. This software can be freely downloaded from the Statistics Canada website: https://www.statcan.gc.ca/eng/public/beyond20-20 (Windows only). For information on how to use Beyond 20/20, please see: http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf https://wiki.ubc.ca/Library:Beyond_20/20_Guide Custom order from Statistics Canada includes the following dimensions and data fields: Geography: - Country of Canada, all CDs & Country as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia), all CSDs & each Province as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), all CSDs & each Territory as a whole Data Quality and Suppression: - The global non-response rate (GNR) is an important measure of census data quality. It combines total non-response (households) and partial non-response (questions). A lower GNR indicates a lower risk of non-response bias and, as a result, a lower risk of inaccuracy. The counts and estimates for geographic areas with a GNR equal to or greater than 50% are not published in the standard products. The counts and estimates for these areas have a high risk of non-response bias, and in most cases, should not be released. - Area suppression is used to replace all income characteristic data with an 'x' for geographic areas with populations and/or number of households below a specific threshold. If a tabulation contains quantitative income data (e.g., total income, wages), qualitative data based on income concepts (e.g., low income before tax status) or derived data based on quantitative income variables (e.g., indexes) for individuals, families or households, then the following rule applies: income characteristic data are replaced with an 'x' for areas where the population is less than 250 or where the number of private households is less than 40. Source: Statistics Canada - When showing count data, Statistics Canada employs random rounding in order to reduce the possibility of identifying individuals within the tabulations. Random rounding transforms all raw counts to random rounded counts. Reducing the possibility of identifying individuals within the tabulations becomes pertinent for very small (sub)populations. All counts are rounded to a base of 5, meaning they will end in either 0 or 5. The random rounding algorithm controls the results and rounds the unit value of the count according to a predetermined frequency. Counts ending in 0 or 5 are not changed. Universe: Full Universe: Private Households in Non-farm Non-band Off-reserve Occupied Private Dwellings with Income Greater than zero. Households examined for Core Housing Need: Private, non-farm, non-reserve, owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'Core Housing Need.' Non-family Households with at least one household maintainer aged 15 to 29 attending school are considered not to be in Core Housing Need, regardless of their housing circumstances. Data Fields: Note 1: Certain data fields from the original .ivt...备注：本数据集的完整发布截至2023年8月14日。1.（4月4日增补）加拿大及普查分区（Census Divisions, CD）数据：2023年4月初更新；2.（5月1日增补）安大略省、不列颠哥伦比亚省与阿尔伯塔省普查子分区（Census Subdivisions, CSD）数据：2023年4月末更新；3a.（6月8日增补）曼尼托巴省与萨斯喀彻温省普查子分区数据；3b.（6月12日增补）魁北克省普查子分区数据：2023年6月12日更新；4.（6月30日增补）纽芬兰与拉布拉多省、爱德华王子岛省、新不伦瑞克省及新斯科舍省普查子分区数据：2023年7月初更新；5.（8月14日增补）育空地区、西北地区与努纳武特地区普查子分区数据：2023年8月初更新。更多信息请访问HART.ubc.ca。 住房评估资源工具（Housing Assessment Resource Tools, HART） 本数据集包含18张数据表，数据源自2021年加拿大人口普查。所有数据表均为定制化订单，涵盖核心住房需求与住户特征相关数据。其中17张数据表分别对应加拿大不同地理区域：1张为加拿大全国整体数据，1张覆盖加拿大所有普查分区，另有15张覆盖加拿大全境所有普查子分区。最后一张数据表包含所有地理区域的收入中位数数据。加拿大统计局将此类收入中位数作为「区域家庭收入中位数（Area Median Household Income, AMHI）」，并基于此推导了「住房成本/家庭收入」维度下的部分数据字段。 随数据表一同提供的还有HART住房需求评估方法指南。本指南旨在支持HART定制化数据的独立使用，既便于对本团队分析进行透明化验证，也助力将该数据用于HART原有分析范围之外的研究。本定制订单中包含诸多未被本团队使用、但可对其他研究者具备价值的数据字段。 本数据集采用Beyond 20/20（.ivt）格式存储，需使用Beyond 20/20浏览器打开。该软件可从加拿大统计局官网免费下载（仅限Windows系统）：https://www.statcan.gc.ca/eng/public/beyond20-20。如需了解Beyond 20/20的使用方法，请参阅：http://odesi2.scholarsportal.info/documentation/Beyond2020/beyond20-quickstart.pdf 及 https://wiki.ubc.ca/Library:Beyond_20/20_Guide。 加拿大统计局定制订单涵盖以下维度及数据字段： 1. 地理范围： - 加拿大全国、所有普查分区及全国整体数据 - 全部10个省份（纽芬兰与拉布拉多、爱德华王子岛（PEI）、新斯科舍、新不伦瑞克、魁北克、安大略、曼尼托巴、萨斯喀彻温、阿尔伯塔及不列颠哥伦比亚）的所有普查子分区数据，以及各省份整体数据 - 全部3个地区（努纳武特、西北地区、育空）的所有普查子分区数据，以及各地区整体数据 2. 数据质量与数据抑制： - 全球无回应率（Global Non-response Rate, GNR）是衡量普查数据质量的重要指标，其综合了住户整体无回应与问题部分无回应的情况。更低的全球无回应率意味着更低的无回应偏差风险，进而数据准确性风险也更低。全球无回应率大于等于50%的地理区域，其相关统计量与估计值不会在标准产品中发布。此类区域的统计量与估计值存在较高的无回应偏差风险，多数情况下不应公开。 - 区域数据抑制规则：对于人口或住户数量低于特定阈值的地理区域，所有收入特征数据将被替换为「x」。若某张统计表包含量化收入数据（如总收入、工资收入）、基于收入概念的定性数据（如税前低收入身份），或基于量化收入变量衍生的数据（如各类指数），则适用以下规则：对于人口少于250人或私人住户数量少于40户的区域，其收入特征数据将被替换为「x」。 数据来源：加拿大统计局 - 当展示计数数据时，加拿大统计局采用随机舍入法以降低统计表中识别到个体的可能性。随机舍入将所有原始计数转换为随机舍入后的计数，这一措施对于极小的（子）群体尤为必要。所有计数均以5为基数进行舍入，即最终结果仅以0或5结尾。随机舍入算法会控制结果，并按照预设频率对计数的单位值进行舍入。以0或5结尾的计数无需调整。 3. 研究总体： - 全量总体：收入大于零的非农业、非原住民部落保留地外的已入住私人住宅中的私人住户。 - 核心住房需求评估总体：收入大于零且住房成本收入比低于100%的私人、非农业、非保留地的自有住房或租赁住房住户，将被纳入核心住房需求评估。但年龄在15至29岁之间、至少有一名家庭供养者在学的非家庭住户，无论其住房状况如何，均不被视为存在核心住房需求。 4. 数据字段： 注1：原始.ivt文件中的部分数据字段……