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

This layer represents the boundaries of 2020 Census Blocks in Hamilton County.

Census blocks are: The smallest geographic area for which the Bureau of the Census collects and tabulates decennial census data. Statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads. The building blocks for all geographic boundaries the Census Bureau tabulates data for, such as tracts, places, and American Indian Reservations. Generally small in area. In a city, a census block looks like a city block bounded on all sides by streets. Census blocks in suburban and rural areas may be large, irregular, and bounded by a variety of features, such as roads, streams, and transmission lines. In remote areas, census blocks may encompass hundreds of square miles. Numbered uniquely with a four-digit census block number ranging from 0000 to 9999 nesting within each census tract, which nest within state and county. The first digit of the census block number identifies the block group. Block numbers beginning with a zero (in Block Group 0) are associated with water-only areas. Delineated by the U.S. Census Bureau once every ten years. An automated computer process looks for all visible and nonvisible features in our geographic database that should be a block boundary and creates a block each time those features create a polygon. The smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race. Census blocks are not: Delineated based on population. In fact, many census blocks do not have any population.

Canada's largest metropolitan area is Toronto, in Ontario. In 2022. Over 6.6 million people were living in the Toronto metropolitan area. Montréal, in Quebec, followed with about 4.4 million inhabitants, while Vancouver, in Britsh Columbia, counted 2.8 million people as of 2022.

Statistical area 3 (SA3) is a new output geography, introduced in 2023, that allows aggregations of population data between the SA2 geography and territorial authority geography.

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This dataset is the definitive version of the annually released statistical area 3 (SA3) boundaries as at 1 January 2023 as defined by Stats NZ. This version contains 929 SA3s, including 4 non-digitised SA3s.

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The SA3 geography aims to meet three purposes:

1. approximate suburbs in major, large, and medium urban areas,

2. in predominantly rural areas, provide geographical areas that are larger in area and population size than SA2s but smaller than territorial authorities,

3. minimise data suppression.

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SA3s in major, large, and medium urban areas were created by combining SA2s to approximate suburbs as delineated in the Fire and Emergency NZ (FENZ) Localities dataset. Some of the resulting SA3s have very large populations.

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Outside of major, large, and medium urban areas, SA3s generally have populations of 5,000–10,000. These SA3s may represent either a single small urban area, a combination of small urban areas and their surrounding rural SA2s, or a combination of rural SA2s.

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Zero or nominal population SA3s

To minimise the amount of unsuppressed data that can be provided in multivariate statistical tables, SA2s with fewer than 1,000 residents are combined with other SA2s wherever possible to reach the 1,000 SA3 population target. However, there are still a number of SA3s with zero or nominal populations.

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Small population SA2s designed to maintain alignment between territorial authority and regional council geographies are merged with other SA2s to reach the 5,000–10,000 SA3 population target. These merges mean that some SA3s do not align with regional council boundaries but are aligned to territorial authority.

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Small population island SA2s are included in their adjacent land-based SA3.

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Island SA2s outside territorial authority or region are the same in the SA3 geography.

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Inland water SA2s are aggregated and named by territorial authority, as in the urban rural classification.

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Inlet SA2s are aggregated and named by territorial authority or regional council where the water area is outside the territorial authority.

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Oceanic SA2s translate directly to SA3s as they are already aggregated to regional council.

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The 16 non-digitised SA2s are aggregated to the following 4 non-digitised SA3s (SA3 code; SA3 name):

70001; Oceanic outside region, 70002; Oceanic oil rigs, 70003; Islands outside region, 70004; Ross Dependency outside region.

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SA3 numbering and naming

Each SA3 is a single geographic entity with a name and a numeric code. The name refers to a suburb,recognised place name, or portion of a territorial authority. In some instances where place names are the same or very similar, the SA3s are differentiated by their territorial authority, for example, Hillcrest (Hamilton City) and Hillcrest (Rotorua District).

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SA3 codes have five digits. North Island SA3 codes start with a 5, South Island SA3 codes start with a 6 and non-digitised SA3 codes start with a 7. They are numbered approximately north to south within their respective territorial authorities. When first created in 2023, the last digit of each code was 0. When SA3 boundaries change in future, only the last digit of the code will change to ensure the north-south pattern is maintained.

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For more information please refer to the Statistical standard for geographic areas 2023.

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Generalised version

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

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Macrons

Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.

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Digital data

Digital boundary data became freely available on 1 July 2007.

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To download geographic classifications in table formats such as CSV please use Ariā