The Agency for Co-operative Housing & HART - 2021 Census of Canada - Selected Characteristics of Households and Population Estimated to Live in Co-op Housing - Custom Geography within Ontario, Alberta, and British Columbia [custom tabulation]

The Agency for Co-operative Housing & Housing Assessment Resource Tools (HART) This dataset contains 5 tables which draw upon data from the 2021 Canadian Census of Population. The tables are a custom order based on a custom geographical area covering parts of Ontario, Alberta, and British Columbia that contained a household who received support from the Rental Assistance Program (FCHI-2) in 2021. This custom order was placed in collaboration with The Agency for Co-operative Housing (“The Agency”) who administers FCHI-2 on behalf of the Canada Mortgage and Housing Corporation (“CMHC”). Statistics Canada built the custom geographical area based on addresses of households provided by The Agency. These addresses were converted into postal codes and block faces which were evaluated by Statistics Canada to determine if the households in those areas were mostly (>90%) living in co-operative housing. Statistics Canada performed this assessment based on The Agency’s data in conjunction with previous work done on behalf of the Co-operative Housing Federation of Canada (“CHF Canada”) and CHF British Columbia, with their permission. The resulting geography representing the aggregated postal codes and block faces, which we will call the “super-geography,” represents an estimate of mostly, but not entirely households living in co-operative housing developments with at least one household who benefitted from FCHI-2. The census data order contains variables designed to filter out non-co-op households. The “condominium status” variables is included to remove households living in condos, since co-ops are distinct from condos. The “tenure” variable has also been included to remove households who own their dwelling since the census counts co-ops as rental households. Tenure is also used to identify subsidized households. These households represent our best estimate of households who received FCHI-2. However, the definition of subsidized households allows for a range of subsidies so we cannot say exactly how many of those subsidized households would have received FCHI-2 specifically. 4 of the 5 data tables contain data on households, with the fifth table containing data on the individuals/population in those households. Of those 4 tables on households, there is one each for the provinces of Ontario, Alberta, and British Columbia, along with a fourth table that aggregates all households from the three province-specific tables. 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: - Custom non-contiguous geographical area within the provinces of Ontario, Alberta, and British Columbia, in the country of Canada. Please note that some data files with have a geographical area of “Canada,” but that is only used to refer to the complete super-geography equal to the aggregated households/population from the three provinces represented. - “Version 1” = Version 1 Custom Areas (4) were created with co-op streets met one of two conditions. The first condition is that the streets have a match level of 90% or better. The match level was calculated between co-op units and census private dwellings for each co-op street. The other condition is that a co-op street did not reach the 90% match level, however the dwellings on the co-op street were confirmed as co-op units - “Version 2” = Version 2 Custom Areas (4) were created by having all the 372 co-op streets included. 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 greater than 10 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. Counts less than 10 are rounded to a base of 10, meaning they will be rounded to either 10 or Zero. 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 (Households): Tenure Including Presence of Mortgage and Subsidized Housing; Household size (7) 1. Total - Private households by tenure including presence of mortgage payments and subsidized housing 2. Owner 3. With mortgage 4. Without mortgage 5. Renter 6. Subsidized housing 7. Not subsidized housing Housing indicators (12) 1. Total - Private Households by core housing need status 2. Households examined for core housing need 3. Households in core housing need 4. Below one standard only 5. Below affordability standard only 6. Below adequacy standard only 7. Below suitability standard only 8. Below 2 or more standards 9. Below affordability and suitability 10. Below affordability and adequacy 11. Below suitability and adequacy 12. Below affordability, suitability, and adequacy Period of construction (16) 1. Total – Period of Construction 2. 1980 or before 3. 1920 or before 4. 1921 to 1945 5. 1946 to 1960 6. 1961 to 1970 7. 1971 to 1980 8. 1981 to 2000 9. 1981 to 1990 10. 1991 to 1995 11. 1996 to 2000 12. 2001 to 2021 13. 2001 to 2005 14. 2006 to 2010 15. 2011 to 2015 16. 2016 to 2021 (Note 1) Note 1: Includes data up to May 11, 2021. Structural type of dwelling and Household income as proportion to AMHI (16) 1. Total – Private households by household income in 2020 2. Households with income 20% or under of area median household income (AMHI) 3. Households with income 21% to 50% of AMHI 4. Households with income 51% to 80% of AMHI 5. Households with income 81% to 120% of AMHI 6. Households with income 121% or more of AMHI 7. Total – Private households by shelter cost groups 8. Households with shelter cost 0.5% or under of AHMI 9. Households with shelter cost 0.6% to 1.25% of AHMI 10. Households with shelter cost 1.26% to 2% of AHMI 11. Households with shelter cost 2.1% to 3% of AHMI 12. Households with shelter cost 3.1% or over of AHMI Number of bedrooms (6) 1. Total – Occupied private dwellings by number of bedrooms 2. No bedrooms 3. 1 bedroom 4. 2 bedrooms 5. 3 bedrooms 6. 4 or more bedrooms Condo Stat [and Household

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