Data on visible minority by gender and age for the population in private households in Canada, provinces and territories.

Number of people belonging to a visible minority group as defined by the Employment Equity Act and, if so, the visible minority group to which the person belongs. The Employment Equity Act defines visible minorities as 'persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour.' The visible minority population consists mainly of the following groups: South Asian, Chinese, Black, Filipino, Latin American, Arab, Southeast Asian, West Asian, Korean and Japanese.

Presents socio-demographic information of York Region’s population and is aggregated from Statistics Canada’s Census data. For reference purposes, York Region data is compared to those of Ontario, Canada, the Greater Toronto Area and York Region local municipalities.

Data on visible minority by gender and age for the population in private households in census divisions.

Presents socio-demographic information of York Region’s population and is aggregated from Statistics Canada’s Census data. For reference purposes, York Region data is compared to those of Ontario, Canada, the Greater Toronto Area and York Region local municipalities.

The Ontario College Applicant Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on the decision-making process of applicants in regards to choosing a college and area of study. Colleges wanted further insight into their applicant pool to optimize the use of scarce resources, time, and money. In addition, it provided information for marketing, recruitment, and enrolment management strategies. It also covered applicants' financial preparedness for college. Par ticipants were selected from a random sample that matched key demographic indicators (e.g. age, region, and applicant status) ensuring r epresentation of the general applicant pool. Some of the major subject areas covered include prior education, college selection, issues of concern, academic activities, and finances. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

The Ontario College Applicant Survey was conducted by the Canada Millennium Scholarship Foundation to provide data on the decision-making process of applicants in regards to choosing a college and area of study. Colleges wanted further insight into their applicant pool to optimize the use of scarce resources, time, and money. In addition, it provided information for marketing, recruitment, and enrolment management strategies. It also covered applicants' financial preparedness for college. Participants were selected from a random sample that matched key demographic indicators (e.g. age, region, and applicant status) ensuring representation of the general applicant pool. Some of the major subject areas covered include prior education, college selection, issues of concern, academic activities, and finances. This dataset was freely received from the Canada Millennium Scholarship Foundation. Some work was required for the variable and value labels, and missing values. They were corrected as best as possible with the documentation received. Caution should be used with this dataset as some variables are lacking information.

Housing Assessment Resource Tools (HART) This dataset contains 2 tables and 5 files which draw upon data from the 2021 Census of Canada. The tables are a custom order and contain data pertaining to older adults and housing need. The 2 tables have 6 dimensions in common and 1 dimension that is unique to each table. Table 1's unique dimension is the "Ethnicity / Indigeneity status" dimension which contains data fields related to visible minority and Indigenous identity within the population in private households. Table 2's unique dimension is "Structural type of dwelling and Period of Construction" which contains data fields relating to the structural type and period of construction of the dwelling. Each of the two tables is then split into multiple files based on geography. Table 1 has two files: Table 1.1 includes Canada, Provinces and Territories (14 geographies), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); and Table 1.2 includes Canada and the CMAs of Canada (44). Table 2 has three files: Table 2.1 includes Canada, Provinces and Territories (14), CDs of NWT (6), CDs of Yukon (1) and CDs of Nunavut (3); Table 2.2 includes Canada and the CMAs of Canada excluding Ontario and Quebec (20 geographies); and Table 2.3 includes Canada and the CMAs of Canada that are in Ontario and Quebec (25 geographies). 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 as a whole - All 10 Provinces (Newfoundland, Prince Edward Island (PEI), Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Alberta, and British Columbia) as a whole - All 3 Territories (Nunavut, Northwest Territories, Yukon), as a whole as well as all census divisions (CDs) within the 3 territories - All 43 census metropolitan areas (CMAs) in Canada 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: Population aged 55 years and over in owner and tenant households with household total income greater than zero in non-reserve non-farm private dwellings. Definition of 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: Table 1: Age / Gender (12) 1. Total – Population 55 years and over 2. Men+ 3. Women+ 4. 55 to 64 years 5. Men+ 6. Women+ 7. 65+ years 8. Men+ 9. Women+ 10. 85+ 11. Men+ 12. Women+ Housing indicators (13) 1. Total – Private Households by core housing need status 2. Households below one standard only...

The Provincial Diversity Project is a survey aimed at comparing public opinions realities across provinces on identity and attachment, views about federalism, attitudes toward ethnic diversity and immigration, as well as views on social, economic and political issues. The Provincial Diversity Project is led by Antoine Bilodeau (Concordia University) along with Luc Turgeon (Ottawa), Stephen E. White (Carleton) and Ailsa Henderson (Edinburgh). The Provincial Diversity Project survey was conducted in the winter of 2014 among close to 10,000 Canadians through an internet survey conducted by Léger Marketing. The Provincial Diversity Project survey includes three components. A sample of 6400 Canadians stratified by province: 1000 respondents in each of Quebec, Ontario, Alberta and British Columbia; 500 Canadians in each of Nova Scotia, New Brunswick, Manitoba and Saskatchewan; and 400 Canadians in Prince Edward Island and Newfoundland and Labrador. [PROJ=2] An oversample of visible minority Canadians stratified by province with about 400 respondents in each of Quebec, Ontario, Alberta and British Columbia.[PROJ=3] An oversample of young Canadians (aged 18 to 34) stratified by region: 350 respondents in each of the following regions: the Atlantic, Ontario, the Prairies, and British Columbia, and 500 respondents in Quebec. [PROJ=1] The Provincial Diversity Project was realized with the support of Concordia University, the Secrétariat aux affaires intergouvernementales canadiennes du Québec, the Canadian Network for Research on Terrorism, Security and Society, the Institute for Research on Public Policy and the Chaire de recherche du Canada en études québécoises et canadiennes de l'UQAM.

Number and percent of visible minority groups attending school (high school, trades/college or university), for Canada, provinces, territories and cities.

Average and median market, total and after-tax income of individuals by visible minority group, Indigenous group and immigration status, Canada and provinces.