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All (5)

All (5) ((5 results))

  • 1. Inequalities in COVID-19 mortality rates by neighbourhood types in Canada Archived
    Stats in brief: 45-28-0001202200100006
    Description:

    This article explores inequalities in age-standardized COVID-19 mortality rates by six neighbourhood types in Canada. A new geographic classification tool called the Canadian Social Environment Typology (CanSET) is used to understand variations in age-standardized COVID-19 mortality rates by socioeconomic, demographic and ethnocultural characteristics of neighbourhoods in Canada.

    Release date: 2022-05-09
  • 2. Canadian Social Environment Typology User Guide
    Articles and reports: 17-20-00022022002
    Description:

    The Canadian Social Environment Typology (CanSET) is a geographic classification tool to compare neighbourhoods across Canadian Census Metropolitan Areas and Census Agglomerations. The purpose of this user guide is to define the concept of identical Dissemination Area (DA) clusters used in the Canadian Social Environment Typology (CanSET) and to give an overview of how the clusters can be used to explore DA level health and social inequalities. The user guide also offers information on how to use the new social environment clusters to understand social and health inequalities in more populous areas in Canada.

    Release date: 2022-05-09
  • 3. COVID-19 mortality rates in Canada’s ethno-cultural neighbourhoods Archived
    Stats in brief: 45-28-0001202000100079
    Description:

    This article examines the differences in COVID-19 related mortality rates across different ethno-cultural neighbourhoods in Canada. The differences in age-standardized mortality rates by proportion of population groups designated as visible minorities are compared for Canada and selected provinces and census metropolitan areas to understand whether or not communities with higher proportion of population designated as visible minorities are reporting higher COVID-19 related mortality rates.

    Release date: 2020-10-28
  • 4. Developing Meaningful Categories for Distinguishing Levels of Remoteness in Canada
    Articles and reports: 11-633-X2020002
    Description:

    The concepts of urban and rural are widely debated and vary depending on a country’s geopolitical and sociodemographic composition. In Canada, population centres and statistical area classifications are widely used to distinguish urban and rural communities. However, neither of these classifications precisely classify Canadian communities into urban, rural and remote areas. A group of researchers at Statistics Canada developed an alternative tool called the “remoteness index” to measure the relative remoteness of Canadian communities. This study builds on the remoteness index, which is a continuous index, by examining how it can be classified into five discrete categories of remoteness geographies. When properly categorized, the remoteness index can be a useful tool to distinguish urban, rural and remote communities in Canada, while protecting the privacy and confidentiality of citizens. This study considers five methodological approaches and recommends three methods.

    Release date: 2020-08-11
  • 5. Does geography matter in mortality? An analysis of potentially avoidable mortality by remoteness index in Canada Archived
    Articles and reports: 82-003-X201900500001
    Description:

    This study uses the new remoteness index (RI) classification, which assigns a value to each census subdivision (CSD) and measures the relative remoteness of Canadian communities on the basis of their size and their proximity to surrounding population centres, to distinguish rural and remote areas from urban areas in Canada. The Canadian Vital Statistics-Death Database (2011 to 2015), and the 2016 Census of Population are also used in this study to examine major causes of both preventable and treatable mortality by relative remoteness of Canadian communities. It explores the interrelationship between remoteness and avoidable mortality while taking into account three important variables: average household income after-tax, the proportion of postsecondary graduates and the proportion of Aboriginal population by CSD.

    Release date: 2019-05-15
Stats in brief (2)

Stats in brief (2) ((2 results))

  • 1. Inequalities in COVID-19 mortality rates by neighbourhood types in Canada Archived
    Stats in brief: 45-28-0001202200100006
    Description:

    This article explores inequalities in age-standardized COVID-19 mortality rates by six neighbourhood types in Canada. A new geographic classification tool called the Canadian Social Environment Typology (CanSET) is used to understand variations in age-standardized COVID-19 mortality rates by socioeconomic, demographic and ethnocultural characteristics of neighbourhoods in Canada.

    Release date: 2022-05-09
  • 2. COVID-19 mortality rates in Canada’s ethno-cultural neighbourhoods Archived
    Stats in brief: 45-28-0001202000100079
    Description:

    This article examines the differences in COVID-19 related mortality rates across different ethno-cultural neighbourhoods in Canada. The differences in age-standardized mortality rates by proportion of population groups designated as visible minorities are compared for Canada and selected provinces and census metropolitan areas to understand whether or not communities with higher proportion of population designated as visible minorities are reporting higher COVID-19 related mortality rates.

    Release date: 2020-10-28
Articles and reports (3)

Articles and reports (3) ((3 results))

  • 1. Canadian Social Environment Typology User Guide
    Articles and reports: 17-20-00022022002
    Description:

    The Canadian Social Environment Typology (CanSET) is a geographic classification tool to compare neighbourhoods across Canadian Census Metropolitan Areas and Census Agglomerations. The purpose of this user guide is to define the concept of identical Dissemination Area (DA) clusters used in the Canadian Social Environment Typology (CanSET) and to give an overview of how the clusters can be used to explore DA level health and social inequalities. The user guide also offers information on how to use the new social environment clusters to understand social and health inequalities in more populous areas in Canada.

    Release date: 2022-05-09
  • 2. Developing Meaningful Categories for Distinguishing Levels of Remoteness in Canada
    Articles and reports: 11-633-X2020002
    Description:

    The concepts of urban and rural are widely debated and vary depending on a country’s geopolitical and sociodemographic composition. In Canada, population centres and statistical area classifications are widely used to distinguish urban and rural communities. However, neither of these classifications precisely classify Canadian communities into urban, rural and remote areas. A group of researchers at Statistics Canada developed an alternative tool called the “remoteness index” to measure the relative remoteness of Canadian communities. This study builds on the remoteness index, which is a continuous index, by examining how it can be classified into five discrete categories of remoteness geographies. When properly categorized, the remoteness index can be a useful tool to distinguish urban, rural and remote communities in Canada, while protecting the privacy and confidentiality of citizens. This study considers five methodological approaches and recommends three methods.

    Release date: 2020-08-11
  • 3. Does geography matter in mortality? An analysis of potentially avoidable mortality by remoteness index in Canada Archived
    Articles and reports: 82-003-X201900500001
    Description:

    This study uses the new remoteness index (RI) classification, which assigns a value to each census subdivision (CSD) and measures the relative remoteness of Canadian communities on the basis of their size and their proximity to surrounding population centres, to distinguish rural and remote areas from urban areas in Canada. The Canadian Vital Statistics-Death Database (2011 to 2015), and the 2016 Census of Population are also used in this study to examine major causes of both preventable and treatable mortality by relative remoteness of Canadian communities. It explores the interrelationship between remoteness and avoidable mortality while taking into account three important variables: average household income after-tax, the proportion of postsecondary graduates and the proportion of Aboriginal population by CSD.

    Release date: 2019-05-15
Journals and periodicals (0)

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