This table shows the percentage of Canadian households in large, medium, and small population centres, as well as in rural areas, that can access 25 Mbps broadband services in each province and territory. Small population centres are considered to have populations of between 1,000 and 29, 000. Medium population centres are considered to have populations of between 30,000 and 99,999. Large population centres are considered to have populations greater than 100,000. Rural areas have populations of less than 1,000 or fewer than 400 people per square kilometre.

Broadband availability includes services delivered through fixed wireless technology. Actual availability may be restricted by capacity limitations in the network, topography and interference from structures and vegetation. As such, the figures should be considered a best possible availability estimate.

Satellite services are excluded since they have a national footprint.

This table shows the percentage of Canadian households in large, medium, and small population centres, as well as in rural areas, that can access 25 Mbps broadband services in each province and territory. Small population centres are considered to have populations of between 1,000 and 29, 000. Medium population centres are considered to have populations of between 30,000 and 99,999. Large population centres are considered to have populations greater than 100,000. Rural areas have populations of less than 1,000 or fewer than 400 people per square kilometre. Broadband availability includes services delivered through fixed wireless technology. Actual availability may be restricted by capacity limitations in the network, topography and interference from structures and vegetation. As such, the figures should be considered a best possible availability estimate. Satellite services are excluded since they have a national footprint.

The percentage of compact cars in the total sales of light-duty vehicles with the model year 1990 is shown on this map for the populated areas. Light-duty vehicles include all cars and light trucks. There is a significant spatial variation for the market share of compact cars with the model year 1990 across Canada. Overall, there are proportionally higher percentages of compact cars in the eastern provinces, especially southern Quebec, than in the western provinces. Urban areas have relatively higher market shares of compact cars than surrounding rural areas.

One woman in nine can expect to develop breast cancer during her lifetime and one in 25 will die from the disease. Statistically low incidences of breast cancer are found in Newfoundland and Labrador, the territories, and northern areas of most provinces. Otherwise, each province has one or more pockets of significantly high breast cancer incidence. These are often located in more southerly areas, but they do not seem to be restricted to either urban or rural areas alone. Breast cancer rates are a health status indicator. They can be used to help assess health conditions. 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.

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

(StatCan Product) Information on the proportion of households with access to the internet for Canada, Alberta, Alberta's ERs, CMAs/CAs and MIZs. Customization details: This information product has been customized to present information on household internet use for the below mentioned spatial coverage. Other variables include: - Household Size - 1 person - 2 persons - 3 persons or more - Houshold Type - Single family household with unmarried children under 18 years of age - Single family household without unmarried children under 18 years of age - One person households - Multi family households - Educational attainment in household - High school diploma (or less) - Some post-secondary (includes College diploma or University certificate - University degree - Household income quartile - 1st quartile ($30,000 or less) - 2nd quartile ($30,000 to $50,000) - 3rd quartile ($50,000 to $87,000) - 4th quartile ($87,000 or more) - Household by Tenure - Dwelling owned - Dwelling rented Canadian Internet Use Survey Survey content includes the location of use (e.g., at home, at work), the frequency and intensity of use, the specific uses of the Internet from the home, the purchase of products and services (electronic commerce), and other issues related to Internet use (such as concerns over privacy). This content is supplemented by information on individual and household characteristics (e.g., age, income, education, family type) and some geographic detail (e.g. province, urban/rural, and Census Metropolitan Area).

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows the labour force in manufacturing by place of residence for population centres and complexes in 1961. The main map is accompanied by two smaller maps showing Eastern Ontario and Western Quebec and the Maritimes in greater detail (at a scale of 1:5 000 000). A set of graphs shows the percentage make up of urban / rural, male / female participants in the manufacturing labour forces for Canada, the provinces and the territories for 1961. An extensive supplementary text lists 174 population centres with a labour force over 500 and gives the total for each place as a percentage of the national labour force in manufacturing.