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...
https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
If you’re a senior with low income, you may qualify for monthly Guaranteed Annual Income System payments.
The data is organized by private income levels. GAINS payments are provided on top of the Old Age Security (OAS) pension and the Guaranteed Income Supplement (GIS) payments you may receive from the federal government.
Learn more about the Ontario Guaranteed Annual Income System
This data is related to The Retirement Income System in Canada
At around one-third, the share of older adults who had to wait six or more days to get a doctor's appointment was highest in Canada, compared to just 4 percent of older adults who reported so in Germany. This statistic shows the percentage of adults aged 65 and older who waited six days or more for an appointment when sick in 2021 worldwide.
Estimated number of persons on July 1, by 5-year age groups and gender, and median age, for Canada, provinces and territories.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canada is an aging society. In 2006, 13.7% of the total population of Canada was 65 years and over. This proportion was 9.7% only twenty five years ago in 1981. During the same period, the proportion of the population that was very old increased at a more rapid pace. For example, between 1981 and 2006 the proportion of the population that was 80 years and over rose from 1.7% to 3.7%. The number of people in this age group topped the 1 million mark (at 1.2 million) for the first time in 2006. In 2006, the population of Saskatchewan was the oldest in the country with 15.4% of the population 65 years and over. It also had the largest proportion of the oldest old, where one out of every 20 Saskatchewan residents was 80 years of age and over. The national average was one in 27. Saskatchewan's situation is unique, in that it has both the largest proportion of seniors and one of the largest proportions of children among the provinces. This is attributable to several factors: higher fertility compared to any other Canadian province due to a large Aboriginal population; a life expectancy that was, until quite recently, one of the highest in the country; and substantial losses of young adults migrating to Alberta to find employment. In general, Atlantic Canada (Newfoundland, and Labrador, Prince Edward Island, Nova Scotia, and New Brunswick) and British Columbia had an older age structure population (14-15% in the age group 65 and over) compared with the national average, once again a reflection of their lower fertility rates.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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National estimates of five-year net survival for 12 types of cancer by age group at diagnosis. The age distributions of cases of these cancers are skewed toward older ages. Net survival refers to the survival probability that would be observed in the hypothetical situation where the cancer of interest is the only possible cause of death.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This age group of mothers has tendency towards higher proportions (often 8.0% and over) of low birthweight babies. On this map only the cities are represented because there is a low number of women in this group in rural and remote areas and hence the data has been suppressed due to reasons of confidentiality. Low birthweight (LBW) is a health status indicator, and is defined as babies born with weight under 2500 grams. The proportion of low birthweight babies born to mothers 15 years of age and older indicates the health and well-being of a population. Health status refers to the state of health of a person or group, and measures causes of sickness and death. It can also include people’s assessment of their own health.
This table contains 2394 series, with data for years 1991 - 1991 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Population group (19 items: Entire cohort; Income adequacy quintile 1 (lowest);Income adequacy quintile 2;Income adequacy quintile 3 ...), Age (14 items: At 25 years; At 30 years; At 40 years; At 35 years ...), Sex (3 items: Both sexes; Females; Males ...), Characteristics (3 items: Life expectancy; High 95% confidence interval; life expectancy; Low 95% confidence interval; life expectancy ...).
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Canada is an aging society. In 2006, 13.7% of the total population of Canada was 65 years and over. This proportion was 9.7% only twenty five years ago in 1981. During the same period, the proportion of the population that was very old increased at a more rapid pace. For example, between 1981 and 2006 the proportion of the population that was 80 years and over rose from 1.7% to 3.7%. The number of people in this age group topped the 1 million mark (at 1.2 million) for the first time in 2006. In 2006, the population of Saskatchewan was the oldest in the country with 15.4% of the population 65 years and over. It also had the largest proportion of the oldest old, where one out of every 20 Saskatchewan residents was 80 years of age and over. The national average was one in 27. Saskatchewan's situation is unique, in that it has both the largest proportion of seniors and one of the largest proportions of children among the provinces. This is attributable to several factors: higher fertility compared to any other Canadian province due to a large Aboriginal population; a life expectancy that was, until quite recently, one of the highest in the country; and substantial losses of young adults migrating to Alberta to find employment. In general, Atlantic Canada (Newfoundland, and Labrador, Prince Edward Island, Nova Scotia, and New Brunswick) and British Columbia had an older age structure population (14-15% in the age group 65 and over) compared with the national average, once again a reflection of their lower fertility rates.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This dataset provides information on Benefits Amounts for Income Supplement and the Allowances according to income level and marital status. This is updated on a quarterly basis. The following tables of amounts will provide you with the amount of your monthly benefit, which will be based on your age, income level and marital status. The dataset is updated for April - June 2025 quarter.
Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This age group of mothers has tendency towards higher proportions (often 8.0% and over) of low birthweight babies. On this map only the cities are represented because there is a low number of women in this group in rural and remote areas and hence the data has been suppressed due to reasons of confidentiality. Low birthweight (LBW) is a health status indicator, and is defined as babies born with weight under 2500 grams. The proportion of low birthweight babies born to mothers 15 years of age and older indicates the health and well-being of a population. Health status refers to the state of health of a person or group, and measures causes of sickness and death. It can also include people’s assessment of their own health.
https://borealisdata.ca/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.5683/SP2/4RNOVShttps://borealisdata.ca/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.5683/SP2/4RNOVS
This dataset includes one table which draws upon data from the 2016 Census of Canada for the Vancouver CMA. The table is a custom order and contains characteristics pertaining to senior's housing. 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 Geography: Province of British Columbia, Vancouver CMA to the CT level Structural Type: -Single detached house -Apartment in a building with five or more stories -Other attached dwellings -Movable dwellings Family Characteristics of Seniors: -Seniors living alone -Seniors living in private households with two or more persons -Living in a couple (married or common-law) -Without a son or daughter present -With a son or daughter present -Not living as a couple, with a son or daughter present -Living with other relative or non-relatives only Tenure: -Owner (with and without mortgage) -Renter -Subsidized housing -Not subsidized housing Total Income: Median and average total income Age of Seniors: 5 year age cohorts starting at 65 and ending at 85 years and over Housing Indicators -Adequacy: Major repairs needed -Suitability: Not suitable -Affordability: 30% or more of household income is spent on shelter costs -Adequacy, suitability or affordability Original file name: CRO0175136_SX.1.ivt
New census data on age and sex show that as of May 15, 2001, the median age of Canada's population reached an all-time high of 37.6 years, an increase of 2.3 years from 35.3 in 1996. This was the biggest census-to-census increase in a century. Median age is the point where exactly one-half of the population is older, and the other half is younger. The nation's median age has been rising steadily since the end of the baby boom in 1966, when it was only 25.4 years. Nova Scotia and Quebec were the nation's oldest provinces, each with a median age of 38.8 years. Alberta was the youngest with a median age of 35.0. The group to increase at the fastest pace was that aged 80 and over. From 1991 to 2001, their numbers soared 41.2% to 932,000. The number of people aged 80 or over is expected to increase an additional 43% from 2001 to 2011, during which time it will surpass an estimated 1.3 million. At the same time, Canada has undergone a substantial decline in the number of children aged four and under. In 2001, the census counted 1.7 million children in this age group, down 11.0% from 1991, the result mostly of Canada's declining fertility rate. By 2011, this group may decline to an estimated 1.6 million.
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Patient characteristics and healthcare utilization among older immigrant adults only, by virtual care use in Ontario, Canada.
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Abbreviations: TIV, trivalent inactivated vaccine; ATIV, adjuvanted trivalent inactivated vaccine.a2009 Canadian dollars, discounted at 5% annually over a 10-year time horizon.bQuality-adjusted life years lost, discounted at 5% annual over a 10-year time horizon.cImmunization of older adults only with ATIV was economically attractive at $2111 per QALY, but the incremental cost-effectiveness ratio of immunizing both older adults and young children with ATIV was
Number of deaths and mortality rates, by age group, sex, and place of residence, 1991 to most recent year.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The working-age population can be divided into two broad categories: the early-working age group (15-34) and the later working age group (35-64). The effect of fertility on the composition of these groups is obvious. The later working age group is largely composed of the baby-boomers (those born between 1946 and 1965), while the early working age group is composed of those born during the baby-bust period (1966-1974) and the children of baby-boomers. Thus, despite the fact that baby-boomers are now older, they still remain the largest group in the population. This is evident in the relatively large proportion (42.6%) of the population that belonged to the late working age group in 2006. The corresponding proportion was much smaller (31.3%) just 25 years ago in 1981. As a result of the entry into the working age group of the people born during the baby-bust period and the children of baby-boomers in 2006, only 26.0% of the population belonged to the 15 to 34 age group in 2006, compared with 36.5% in 1981.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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This public opinion research report presents the results of a telephone survey conducted by Phoenix SPI on behalf of the Office of the Privacy Commissioner of Canada. The fieldwork for the research study was conducted with 1,500 Canadians, aged 16 and older, between November 23 and December 18, 2022. This publication may be reproduced for non-commercial purposes only. Prior written permission must be obtained from the Office of the Privacy Commissioner of Canada.
Families of tax filers; Census families with children by age of children and children by age groups (final T1 Family File; T1FF).
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...