Groupe de municipalités voisines les unes des autres qui sont réunies pour des besoins de planification régionale et de gestion de services communs (comme les services de police et d'ambulance). Ces groupes sont créés selon les lois en vigueur dans certaines provinces du Canada. Division de recensement (DR) est le terme général de régions créées en vertu des lois provinciales (comme comté, municipalité régionale de comté et regional district) ou des régions équivalentes. Dans d'autres provinces et dans les territoires, où les lois ne prévoient pas de telles régions, Statistique Canada définit des régions équivalentes à des fins statistiques en collaboration avec ces provinces et territoires. Les divisions de recensement sont des régions géographiques intermédiaires entre la municipalité (subdivision de recensement) et la province/territoire.

Groupe de municipalités voisines les unes des autres qui sont réunies pour des besoins de planification régionale et de gestion de services communs (comme les services de police et d'ambulance). Ces groupes sont créés selon les lois en vigueur dans certaines provinces du Canada. Division de recensement (DR) est le terme général de régions créées en vertu des lois provinciales (comme comté, municipalité régionale de comté et regional district) ou des régions équivalentes. Dans d'autres provinces et dans les territoires, où les lois ne prévoient pas de telles régions, Statistique Canada définit des régions équivalentes à des fins statistiques en collaboration avec ces provinces et territoires. Les divisions de recensement sont des régions géographiques intermédiaires entre la municipalité (subdivision de recensement) et la province/territoire.

A collection of online resources where one can obtain different Labour Market Information.

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis.The data provided here show the population counts and percentage distribution for various geographic levels by broad age groups, males, females and both sexes, from the 2016 Census.

Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census. Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care. Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living. Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living. Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens. Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).

The Canadian Index of Multiple Deprivation (CIMD) is an area-based index which used 2021 Census of Population microdata to measure four key dimensions of deprivation at the dissemination area (DA)-level: residential instability, economic dependency, situational vulnerability and ethno-cultural composition. Using factor analysis, DA-level factor scores were calculated for each dimension. Within a dimension, ordered scores were assigned a quintile value, 1 through 5, where 1 represents the least deprived and 5 represents the most deprived. The CIMD allows for an understanding of inequalities in various measures of health and social well-being. While it is a geographically-based index of deprivation and marginalization, it can also be used as a proxy for an individual. The CIMD has the potential to be widely used by researchers on a variety of topics related to socio-economic research. Other uses for the index may include: policy planning and evaluation, or resource allocation. *** Correction October 22, 2024 *** A correction has been made to the variables in the following downloadable 2021 CIMD index datasets : Canada, Atlantic, Quebec, Ontario, Prairies, and British-Columbia. This correction impacts all the data in these datasets.

The Canadian indexes of social resilience and vulnerability were created to provide area-based information on resilience and vulnerability to natural hazards and disasters across Canada. Specifically, the Canadian Index of Social Resilience (CISR) aims to reflect a community’s ability to respond to and recover from natural hazards. In contrast, the Canadian Index of Social Vulnerability (CISV) aims to reflect the social vulnerability of an area based on factors that have the potential to amplify the impact of disasters on populations. Before the CISR and CISV were built, indicator frameworks were developed for social resilience and social vulnerability, respectively. Indicators were selected because of their demonstrated association with social resilience or social vulnerability. The selection was informed by the theoretical and research literature, existing indexes, availability of relevant data and engagement with subject-matter experts. The CISR and the CISV were created using data from Dissemination areas (DAs) across the country. The selected indicators were included in a principal component analysis, which is a statistical technique that allows a large number of indicators to be collapsed into a smaller number of interpretable components. Based on the results of the principal component analysis, DA-level scores were calculated for each index. Higher CISR scores correspond to DAs that are more resilient and higher CISV scores correspond to DAs that are more vulnerable. These indexes can be used to better understand areas which may experience the largest disproportional social impacts from natural hazards.