Vital Statistics - Death Database

This is an administrative survey that collects demographic and medical (cause of death) information annually from all provincial and territorial vital statistics registries on all deaths in Canada.

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All (21)

All (21) (0 to 10 of 21 results)

  • Stats in brief: 45-28-0001202400100001
    Description: This article provides insights into the rates of COVID-19 mortality among First Nations peoples and Métis living in private dwellings and the social determinants of COVID-19 mortality among these populations using data from the 2016 Canadian Census Health and Environment Cohorts linked to the Canadian Vital Statistics – Death Database from 2016 to 2021.
    Release date: 2024-07-16

  • Stats in brief: 11-001-X202419838484
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-07-16

  • Data Visualization: 71-607-X2021028
    Description: The dashboard presents data that are relevant for monitoring the impacts of COVID-19 on mortality in Canada. It includes the latest weekly death data, historical weekly death data back to 2014, updated adjusted (i.e. the estimated number of weekly deaths) and expected weekly death counts produced for the 2020 reference year from the Canadian Vital Statistics: Death database (CVS:D). The CVS:D is an administrative survey that collects demographic and medical (cause of death) information from all provincial and territorial vital statistics registries on all deaths in Canada. With this tool, data users can explore current and historical weekly trends of deaths for each province and territory. Key variables such as age group and sex are also presented in interactive charts. The interactive tool allows users to examine excess deaths by comparing the trend in weekly deaths in 2020 to the trends in weekly deaths in previous years.
    Release date: 2023-12-14

  • Stats in brief: 45-28-0001202200100010
    Description:

    This study explores the 2020 COVID-19 mortality among racialized populations in Canada and its association with income. The results are based on the Canadian Census Health and Environmental Cohort (CanCHEC) which combined the long-form 2016 Census with Canadian Vital Statistics- Death Database from 2016-2020.

    Release date: 2022-08-30

  • Stats in brief: 11-001-X202224235003
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-08-30

  • 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

  • Stats in brief: 11-001-X202208033805
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-03-21

  • Articles and reports: 45-20-00022022002
    Description:

    Using the 2015/2016 and 2017/2018 Canadian Community Health Survey (CCHS), 2015-2018 Canadian Vital Death Statistics Database (CVSD) and the updated Remoteness Index Classification, this paper looks at the health and well-being of women and girls by the relative remoteness of their communities.

    Release date: 2022-03-21

  • Articles and reports: 75-006-X202100100008
    Description:

    This article brings together research on the health, social and financial impacts of the COVID-19 pandemic on Canadian seniors aged 65 years and older. The results discussed are based on data from the Canadian Vital Statistics Death Database, Canadian Community Health Survey, Labour Force Survey, Canadian Perspectives Survey Series, and crowdsourcing data.

    Release date: 2021-10-18

  • Data Visualization: 71-607-X2020017
    Description:

    The dashboard presents data that are relevant for monitoring the impacts of COVID-19 on mortality in Canada. It includes the latest weekly death data and historical weekly death data back to 2014 from the Canadian Vital Statistics: Death database (CVS:D). The CVS:D is an administrative survey that collects demographic and medical (cause of death) information from all provincial and territorial vital statistics registries on all deaths in Canada.

    With this tool, data users can explore current and historical weekly trends of deaths for each province and territory. Key variables such as age group and sex are also presented in interactive charts.

    The interactive tool allows users to examine excess deaths by comparing the trend in weekly deaths in 2020 to the trends in weekly deaths in previous years.

    Release date: 2021-10-14
Data (4)

Data (4) ((4 results))

  • Data Visualization: 71-607-X2021028
    Description: The dashboard presents data that are relevant for monitoring the impacts of COVID-19 on mortality in Canada. It includes the latest weekly death data, historical weekly death data back to 2014, updated adjusted (i.e. the estimated number of weekly deaths) and expected weekly death counts produced for the 2020 reference year from the Canadian Vital Statistics: Death database (CVS:D). The CVS:D is an administrative survey that collects demographic and medical (cause of death) information from all provincial and territorial vital statistics registries on all deaths in Canada. With this tool, data users can explore current and historical weekly trends of deaths for each province and territory. Key variables such as age group and sex are also presented in interactive charts. The interactive tool allows users to examine excess deaths by comparing the trend in weekly deaths in 2020 to the trends in weekly deaths in previous years.
    Release date: 2023-12-14

  • Data Visualization: 71-607-X2020017
    Description:

    The dashboard presents data that are relevant for monitoring the impacts of COVID-19 on mortality in Canada. It includes the latest weekly death data and historical weekly death data back to 2014 from the Canadian Vital Statistics: Death database (CVS:D). The CVS:D is an administrative survey that collects demographic and medical (cause of death) information from all provincial and territorial vital statistics registries on all deaths in Canada.

    With this tool, data users can explore current and historical weekly trends of deaths for each province and territory. Key variables such as age group and sex are also presented in interactive charts.

    The interactive tool allows users to examine excess deaths by comparing the trend in weekly deaths in 2020 to the trends in weekly deaths in previous years.

    Release date: 2021-10-14

  • Data Visualization: 71-607-X2020023
    Description:

    The dashboard presents data that are relevant for monitoring the impacts of COVID-19 on mortality in Canada. It includes updated adjusted and expected weekly death counts produced for the 2020 reference year, from the Canadian Vital Statistics: Death database (CVS:D). The CVS:D is an administrative survey that collects demographic and medical (cause of death) information from all provincial and territorial vital statistics registries on all deaths in Canada. With this tool, data users can explore trends in excess mortality for each province and territory. Prediction intervals are also presented in the interactive charts. The interactive tool allows users to examine excess deaths by comparing the adjusted number of weekly deaths to the expected number of weekly deaths.

    Release date: 2021-10-14

  • Table: 13-10-0390-01
    Geography: Canada
    Frequency: Occasional
    Description:

    Treatable and avoidable deaths, by remoteness, that could potentially have been prevented through primary prevention efforts. Mortality from preventable causes is a subset of potentially avoidable mortality.

    Release date: 2019-05-15
Analysis (17)

Analysis (17) (10 to 20 of 17 results)

  • Stats in brief: 45-28-0001202000100076
    Description:

    COVID-19 has had and continues to have a clear impact on communities and families across the country. Many have lost family members and friends to the pandemic. In terms of lives lost, the toll of the COVID-19 pandemic should account for both the direct and indirect effects of the virus. Excess mortality, which occurs when there are more deaths during a period of time than what would be typical for that period, is one key measure that accounts for these effects. Statistics Canada used provisional data on deaths in Canada to produce provisional death estimates, which have been adjusted to account for the incomplete nature of the data due to reporting delays. These are in turn used with a measure of the number of deaths that would be expected to be observed were there no pandemic to produce an estimate of excess mortality. The provincial and territorial results are discussed.

    Release date: 2020-08-28

  • 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: 11-001-X201705315428
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2017-02-22

  • 14. The Girl Child Archived
    Articles and reports: 89-503-X201500114680
    Description:

    The chapter entitled "Women in Canada: The Girl Child" explores the diverse circumstances and experiences of girls aged 17 and under. The chapter describes the demographic characteristics of girls in Canada and presents several topics related to their well-being including: living arrangements, socioeconomic conditions, physical health and development, mortality, emotional and social health and development, child care, school readiness, education, and personal security. Where possible, comparisons are made between girls in different age groups, between girls and boys, and within several subpopulations.

    Release date: 2017-02-22

  • Stats in brief: 11-001-X201606813725
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2016-03-08

  • Articles and reports: 89-503-X201500114324
    Description:

    This chapter of Women in Canada presents a life course perspective of the physical, mental and social health of girls and women in Canada. It is intended to provide a summary of various aspects of women’s health, based on available recent survey and administrative data, as well as findings from published research papers and reports. It begins with a general overview of female health in Canada - with a look at the social determinants of health and the health of women who are immigrants to Canada - followed by four sections that describe female health in childhood, in adolescence, in adulthood, and at older ages. Each of these sections includes information on various health behaviours, disease and chronic conditions, and mental health. Sexual activity and reproduction are also examined, beginning in adolescence.

    Release date: 2016-03-08

  • 17. Senior women Archived
    Articles and reports: 89-503-X201000111441
    Geography: Canada
    Description:

    This chapter, entitled Senior Women, provides an overview of the situation of senior women in the population, analyzed from an historical perspective when applicable. We will examine their sociodemographic characteristics, including life expectancy, diversity, and family situation. Various factors are also associated with this population's well-being, such as social life, economic situation and health; we will therefore explore social networks and subjective well-being, volunteering, and the most recent trends in the labour force participation and income of senior women. Finally, we will present the most prevalent chronic health conditions in senior women, their lifestyle habits, the formal and informal care to which they have access, and the causes of death.

    Release date: 2011-07-26
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