Trade in goods by exporter characteristics data available by number of partner countries. Users have the option of selecting information related to the value of exports and the number of exporting establishments in all Census metropolitan areas in Canada.

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...

This table presents the 2021 and 2016 population and dwelling counts, land area, population density and population ranking for census metropolitan areas or census agglomerations. It also shows the percentage change in the population and dwelling counts between 2016 and 2021.

This table contains data for gross domestic product (GDP), in current dollars, for all census metropolitan area and non-census metropolitan areas.

Investment in non-residential building construction by seasonal adjustment, type of building and prices for provinces and census metropolitan areas (CMA), quarterly data from 1997 to today.

Data on the number and the assessment value of residential properties, by property type, period of construction and ownership type, for the provinces of Nova Scotia, Ontario and British Columbia and their associated census metropolitain areas (CMA) and census subdivisions (CSD).

Number of employees by census metropolitan areas and National Occupational Classification (NOC), three-month moving average, unadjusted for seasonality.

There are two types of boundary files: cartographic and digital. Cartographic boundary files portray the geographic areas using only the major land mass of Canada and its coastal islands. Digital boundary files portray the full extent of the geographic areas, including the coastal water area.

Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.

Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by census metropolitan area, sex and age group, last 5 years.

Data on the number and the assessment value of residential properties, by property type, period of construction and ownership type, for the provinces of Nova Scotia, Ontario and British Columbia and their associated census metropolitain areas (CMA) and census subdivisions (CSD).

Between 2001 and 2006, Canada’s population grew by 5.4%. Only two provinces, Alberta and Ontario and three territories registered growth rates above the national average. The three Maritime provinces (Prince Edward Island, Nova Scotia and New Brunswick) had the smallest population growth, while Newfoundland and Labrador and Saskatchewan experienced population declines. In 2006, about 21.5 million people, almost two-thirds of Canada’s population lived in 33 census metropolitan areas (CMAs). Between 2001 and 2006, the population of these CMAs climbed 6.9%, faster that the national average. Barrie registered the fastest population growth of any CMA (19.2%), followed by Calgary (13.4%), Oshawa (11.6%) and Edmonton (10.4%).

Annual population estimates as of July 1st, by census metropolitan area and census agglomeration, single year of age, five-year age group and gender, based on the Standard Geographical Classification (SGC) 2021.

People who have been granted permanent resident status in Canada. Please note that in these datasets, the figures have been suppressed or rounded to prevent the identification of individuals when the datasets are compiled and compared with other publicly available statistics. Values between 0 and 5 are shown as “--“ and all other values are rounded to the nearest multiple of 5. This may result to the sum of the figures not equating to the totals indicated.

Radon (Rn-222) is the second leading cause of lung cancer after tobacco smoking. It can easily move through small spaces in soils and other materials, allowing it to enter buildings and accumulate to levels that can pose a health risk. Health Canada recommends that all Canadians test their home for radon and remediate if levels are higher than 200 becquerels per cubic meter (Bq/m³). In order to better understand the risk to Canadians from exposure to radon and thoron, the National Radon Program (NRP) conducted an indoor residential measurement survey in 2012-2013 to gather information on radon and thoron levels across the Census Metropolitan Areas (CMA) in Canada.

Health characteristics, two-year period estimates, census metropolitan areas and population centres (1, 2, 3, 4, 5, 6, 7, 8, 9)Frequency: OccasionalTable: 13-10-0805-01 (formerly CANSIM 105-0593)Release date: 2022-04-19Geography: Canada, Province or territory, , Census metropolitan area, Census metropolitan area partFootnotes: 1 Source: Statistics Canada, Canadian Community Health Survey (CCHS).2 All estimates in this table are calculated excluding non-response categories (refusal"3 Data for the Canadian Community Health Survey (CCHS) are collected yearly from a sample of approximately 65,000 respondents. The table 13-10-0805-01 presents estimates from two-year combined data and features breakdown by all census metropolitan areas (CMA), population centre (POPCTR) and rural areas.4 A census metropolitan area (CMA) is an area consisting of one or more adjacent municipalities situated around a major urban core. A CMA must have a total population of at least 100,000 of which 50,000 or more must live in the core. Beginning in 2013/2014, the CMAs are defined by the 2011 Census.5 A population centre (POPCTR) has a population of at least 1,000 and a population density of 400 persons or more per square kilometre, based on population counts from the 2011 Census of Population. Population centres are classified into three groups, depending on the size of their population: small population centres, with a population between 1,000 and 29,999; medium population centres, with a population between 30,000 and 99,999; large urban population centres, with a population of 100,000 or more. The rural area of Canada is the area that remains after the delineation of population centres using 2011 census population data. Included in rural areas are: small towns, villages and other populated places with less than 1,000 population; rural areas of census metropolitan areas and census agglomerations that may contain estate lots, as well as agricultural, undevelopped an non-developable lands; agricultural lands; remote and wilderness areas.6 In the north, the frame for the Canadian Community Health Survey (CCHS) covers 92% of the targeted population in the Yukon, 96% in the Northwest Territories and 92% in Nunavut. In Nunavut, starting in 2013, the coverage was expanded to represent 92% of the targeted population. Before 2013, the coverage was 71% since the survey covered only the 10 largest communities.7 Due to changes in content and methodology, this table now replaces table 13-10-0464-01, which will now only be made available for historical revisions. As a result of the changes, users should use caution when comparing data in this table with the data in 13-10-0464-01.8 As a result of the 2015 redesign, Canadian Community Health Survey (CCHS) has a new collection strategy, a new sample design, and has undergone major content revisions. With all these factors taken together, caution should be taken when comparing data from previous cycles to data released for the 2015 cycle onwards.9 The COVID-19 pandemic had major impacts on the data collection operations for Canadian Community Health Survey (CCHS) 2020. The collection was stopped mid-March, towards the end of the first collection period, and did not resume until September. The second, third and fourth quarterly samples were collected during very short collection periods, each of about five weeks, from September to December. The impossibility of conducting in-person interviews, the shorter collection periods and collection capacity issues resulted in a significant decrease in the response rates. As for previous CCHS cycles, survey weights were adjusted to minimise any potential bias that could arise from survey non-response; non-response adjustments and calibration using available auxiliary information were applied and are reflected in the survey weights provided with the data file. Extensive validations of survey estimates were also performed and examined from a bias analysis perspective. Despite these rigorous adjustments and validations, the high non-response increases the risk of a remaining bias and the magnitude with which such a bias could impact estimates produced using the survey data. Therefore, users are advised to use the CCHS 2020 data with caution, especially when creating estimates for small sub-populations or when comparing to other CCHS years.10 The content on material experiences was collected in New Brunswick, British Columbia and Nunavut for 2019/2020. This indicator is not available for the provinces or territories or Canada level for the 2019/2020 period.11 The confidence interval illustrates the degree of variability associated with a rate. Wide confidence intervals indicate high variability, thus, these rates should be interpreted with due caution. When comparing estimates, it is important to use confidence intervals to determine if differences between values are statistically significant.12 Bootstrapping techniques were used to produce the 95% confidence intervals (CIs).13 Data with a coefficient of variation (CV) from 15.1% to 35.0% are identified as follows: (E) use with caution.14 Data with a coefficient of variation (CV) greater than 35.0% or that did not meet the minimum sample size requirement were suppressed and are identified as follows: (F) too unreliable to be published.15 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period and (...) for figures not applicable.16 Percentages are rounded to the nearest tenth. Numbers are rounded to the nearest hundred.17 Census population counts have been used to produce the population projection counts. These counts are used to ensure that the Canadian Community Health Survey (CCHS) weights and resulting estimates included in this table are consistent with known population totals.18 Population aged 12 and over who reported perceiving their own health status as being either excellent or very good or fair or poor, depending on the indicator. Perceived health refers to the perception of a person's health in general, either by the person himself or herself, or, in the case of proxy response, by the person responding. Health means not only the absence of disease or injury but also physical, mental and social well-being.19 Population aged 12 and over who reported perceiving their own mental health status as being excellent or very good or fair or poor, depending on the indicator. Perceived mental health refers to the perception of a person's mental health in general. Perceived mental health provides a general indication of the population suffering from some form of mental disorder, mental or emotional problems, or distress, not necessarily reflected in perceived health.20 Population aged 12 and over who reported perceiving that most days in their life were quite a bit or extremely stressful. Perceived life stress refers to the amount of stress in the person's life, on most days, as perceived by the person or, in the case of proxy response, by the person responding.21 Body mass index (BMI) is a method of classifying body weight according to health risk. According to the World Health Organization (WHO) and Health Canada guidelines, health risk levels are associated with each of the following BMI categories: normal weight = least health risk; underweight and overweight = increased health risk; obese, class I = high health risk; obese, class II = very high health risk; obese, class III = extremely high health risk.22 Body mass index (BMI) is calculated by dividing the respondent's body weight (in kilograms) by their height (in metres) squared.23 Body mass index (BMI) is calculated for the population aged 12 and over, excluding pregnant females and persons less than 3 feet (0.914 metres) tall or greater than 6 feet 11 inches (2.108 metres).24 According to the World Health Organization (WHO) and Health Canada guidelines, the index for body weight classification for the population aged 18 and older is: less than 18.50 (underweight); 18.50 to 24.99 (normal weight); 25.00 to 29.99 (overweight); 30.00 to 34.99 (obese, class I); 35.00 to 39.99 (obese, class II); 40.00 or greater (obese, class III). The population aged 12 to 17 is classified as severely obese"25 A systematic review of the literature concluded that the use of self-reported data among adults underestimates weight and overestimates height, resulting in lower estimates of obesity than those obtained from measured data. Using data from the 2005 Canadian Community Health Survey (CCHS) subsample, where both measured and self-reported height and weight were collected, BMI correction equations have been developed. This table presents obesity estimates adjusted using these equations.26 The Canadian Community Health Survey (CCHS) - Annual, the Canadian Health Measures Survey (CHMS) and the 2015 CCHS - Nutrition, all collect height and weight data and derive obesity rates based on Body Mass Index (BMI). Users should take note of the data collection method, the target population and the classification system used by each survey in order to select the appropriate data set.27 Population aged 15 and over who reported that they have been diagnosed by a health professional as having arthritis. Arthritis includes osteoarthritis and rheumatoid arthritis, but excludes fibromyalgia.28 Population aged 12 and over who reported that they have been diagnosed by a health professional as having Type 1 or Type 2 diabetes, including females 15 and over who reported that they have been diagnosed with gestational diabetes.29 Population aged 12 and over who reported that they have been diagnosed by a health professional as having asthma.30 Population aged 35 and over who reported being diagnosed by a health professional with chronic bronchitis, emphysema or chronic obstructive pulmonary disease (COPD).31 The Canadian Health Measures Survey (CHMS) and the Canadian Community Health Survey (CCHS) - Annual both collect data

Components of population change by census metropolitan area and census agglomeration, single year of age, five-year age group and gender for the period from July 1 to June 30, annual, based on the Standard Geographical Classification (SGC) 2021. The components include births, deaths, immigrants, net emigration, emigrants, returning emigrants, net temporary emigration, net interprovincial migration, net intraprovincial migration, net non-permanent residents and residual deviation.

Census 2021 variables regarding work and commuting for all Statistics Canada geography levels: CMA, CSD, CT and DA.

Average yearly sales and revenue growth for small and medium enterprises in 2020 by region, CMA level, North American Industry Classification System (NAICS), demographics, age of business, employment size, rate of growth, etc.

Symbol legend: .. not available for a specific reference period ... not applicable x suppressed to meet the confidentiality requirements of the Statistics Act A data quality: excellent Footnotes: 1 A residential property" refers to all land and structures intended for private occupancy whether on a permanent or a temporary basis." 2 The geographic boundaries used in this table are the 2016 census subdivisions boundaries. 3 Residency participation is defined as follows: A property is classified as having non-resident participation when at least one owner is defined as non-resident. Conversely, when there are no non-resident owners, a property is classified as having resident owners only; it is deemed to be exempt from non-resident participation. 4 The Composite Quality Indicator (CQI) shown in this table is created by combining many individual quality indicators, each one representing the quality of different Canadian Housing Statistics Program (CHSP) data processing steps (for example: coding, geocoding, linkage and imputation) and includes the following values: A - Excellent: All domain variables and the variable of interest are of excellent quality. B - Very good: All domain variables and the variable of interest are of very good to excellent quality. C - Good: Geography quality is considered good while all other domains variables and the variable of interest are of very good to excellent quality. D - Acceptable: Geography and period of construction variables are of acceptable quality while all other domains variables and the variable of interest are of good to excellent quality. E - Use with caution: Several of domain variables or the variable of interest are of poor quality. F - Too unreliable to be published. The CQIs are available starting with the reference period of 2020, except for the Northwest Territories where they are available from 2019 reference period. 5 Assessment value and assessment value per square foot estimates for the most recent period of construction (2016 to reference period) are suppressed for Ontario due to the availability of these data. 6 Nova Scotia estimates are not available for the reference periods 2018 and 2019. 7 Ontario estimates for the 2018 reference period have been revised. 8 New Brunswick estimates are not available for the reference periods 2018 and 2019. 9 British Columbia estimates for the 2018 reference period have been revised. 10 Property type" refers to property characteristics and/or dwelling configuration on which there can be one or more residential structures. Property types include: single-detached houses semi-detached houses condominium apartments mobile homes other property types11 Estimates by property type in Newfoundland and Labrador are only available in the census subdivision of St. John’s. 12 Estimates by property type in Northwest Territories are not available. 13 Estimates by property type in Nunavut are not available. 14 Period of construction" refers to the period in time during which the building or dwelling was originally constructed. This refers to the period in which the building was completed not the time of any later remodelling additions or conversions. For properties having multiple residential structures this refers to the period in which the most recent structure was completed." 15 Estimates by period of construction in Northwest Territories are not available. 16 Estimates by period of construction in Nunavut are not available. 17 Estimates by residency participation in Yukon are only available in the census subdivision of Whitehorse. 18 Newfoundland and Labrador estimates are not available at the provincial level and for the category “Outside of census metropolitan areas (CMAs) and census agglomerations (CAs)”. 19 Northwest Territories estimates are available only for the 2019 reference period. 20 Northwest Territories estimates are only available in the census agglomeration of Yellowknife. 21 All counts undergo random rounding, a process that transforms all raw counts into randomly rounded counts. This reduces the possibility of identifying individuals in the tabulations. Subtotals and totals may not exactly equal the sum of component parts due to system rounding. 22 Assessment value" refers to the assessed value of the property for the purposes of determining property taxes. It is important to note that the assessed value does not necessarily represent the market value. Given that different provinces and territories have their own assessment periods and durations of the valuation roll it is difficult to make accurate comparisons of similar properties from one province or territory to another. For properties that are being utilized for both residential and non-residential purposes only the residential portion's value has been taken into account. The reference years of the assessment values by province or territory are available here: Canadian Housing Statistics Program (CHSP)." 23 Averages and medians are calculated using properties with non-missing or non-zero values when there is no imputation available for the variables of interest (for example assessment value, total living area, and assessment value per square foot).