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All (4,374)
All (4,374) (0 to 10 of 4,374 results)
- Stats in brief: 11-001-X202612641351Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2026-05-06
- Articles and reports: 75-006-X202600200005Description: Response mobility in the Indigenous population of Canada refers to responses changing between Indigenous and non-Indigenous identity categories from one census cycle to the next. This study uses linked data from the Census of Population to examine how response mobility affected the size and composition of the Indigenous identity population from 2016 to 2021, as well as how these changes varied by province or territory. The impacts of response mobility on demographic and socioeconomic trends of Indigenous peoples are also explored.Release date: 2026-04-09
- Stats in brief: 11-001-X202608639604Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2026-03-27
- Articles and reports: 89-657-X2026003Description: This study provides an overview of how minority official languages are integrated into child care services across Canada, using data from three sources. Data from the 2022 Survey on the Official Language Minority Population (SOLMP) provides information on the participation in minority official language child care among children eligible for instruction in the minority official language and their educational pathways from early childhood to primary school. Data from the 2022 Canadian Survey on the Provision of Child Care Services (CSPCCS) is used to highlight the use of minority official languages within child care facilities, while data from the 2021 Census of Population offers insights into language use among child care workers.Release date: 2026-03-27
- Articles and reports: 36-28-0001202600300003Description: A central concern surrounding recent advances in generative artificial intelligence (AI) technologies is their potential to replace human labour, especially in the domain of content creation, such as the production of music, videos, images and text in the cultural industries. However, there is a lack of information regarding how AI may impact workers in these industries. This article attempts to fill this information gap by examining potential occupational exposure to and complementarity with AI in selected cultural industries in Canada.Release date: 2026-03-25
- Table: 81-582-XDescription: The Pan-Canadian Education Indicators Program (PCEIP) draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. PCEIP products include data tables, fact sheets, an interactive dashboard, a data explorer, and a handbook. They present indicators for all of Canada, the provinces, the territories, and include year over year comparisons. The PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.Release date: 2026-03-25
- Articles and reports: 85-002-X202600100003Description: Using linked data from the Census of Population and the Integrated Criminal Court Survey, this article examines court decisions, sentencing outcomes, case lengths and selected sociodemographic characteristics of Black adult accused persons in Canadian criminal courts. Where relevant, comparisons by type of offence, fiscal year and province or territory are made. The analysis focuses on adult criminal court cases completed between 2016/2017 and 2022/2023.Release date: 2026-03-24
- Stats in brief: 11-001-X202608340911Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2026-03-24
- Articles and reports: 17-20-0002Description: The Canadian Social Environment Typology (CanSET) is a geographic classification tool to compare neighbourhoods across Canadian Census Metropolitan Areas and Census Agglomerations. The CanSET was developed by the Centre for Population Health Data (CPHD) at Statistics Canada. It provides three levels of neighbourhood classifications based on combinations of 30 socioeconomic, demographic and ethnocultural variables from the Census of population 2016. Each social environment cluster is a group of similar dissemination areas and represents a unique neighbourhood type. The CanSET data comes with definitions of each neighbourhood type so that users can compare health and social outcomes by neighbourhood characteristics. The CanSet classification includes the data, user guide and methodology guide.Release date: 2026-03-19
- Articles and reports: 17-20-00022026001Description: The Canadian Social Environment Typology (CanSET) is a geographic classification tool to compare neighbourhoods across Canadian Census Metropolitan Areas and Census Agglomerations. It provides three levels of neighbourhood classifications based on combinations of 30 socioeconomic, demographic, ethnocultural and housing variables from the Census of population. Each social environment cluster is a group of similar dissemination areas and represents a unique neighbourhood type. The CanSET data comes with definitions of each neighbourhood type so that users can compare health and social outcomes by neighbourhood characteristics. The CanSET classification includes data and user guide for the 2016 and 2021 versions. Select the version closest to the year of the outcome data. The 2016 CanSET classification is not directly comparable to the 2021 CanSET classification.Release date: 2026-03-19
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Data (3,412)
Data (3,412) (10 to 20 of 3,412 results)
- Data Visualization: 71-607-X2023007Description: This interactive data visualization tool uses graphs to present social inclusion indicators under the theme of Basic needs and housing. The indicators (household food security and insecurity [5], population living in a dwelling owned by one member of the household; population in core housing need; population living in suitable housing; and in affordable housing) can be disaggregated by visible minority and selected sociodemographic characteristics. Data are available for Canada, geographical regions of Canada, province or territory and census metropolitan area. This data visualization tool is part of a broader conceptual framework on social inclusion and covers a total of 11 themes. Each theme has a similar interactive visualization tool.Release date: 2025-07-07
- Data Visualization: 71-607-X2023009Description: This interactive data visualization tool uses graphs to present social inclusion indicators under the theme of Income and wealth. The indicators (average employment income, low income and other economic housing characteristics) can be disaggregated by visible minority and selected sociodemographic characteristics for the population in private households. Data are available for Canada, geographical regions of Canada, province or territory and census metropolitan area. This data visualization tool is part of a broader conceptual framework on social inclusion and covers a total of 11 themes. Each theme has a similar interactive visualization tool.Release date: 2025-07-07
- Data Visualization: 71-607-X2023010Description: This interactive data visualization tool uses graphs to present social inclusion indicators under the theme of Social connections and personal networks. The indicators (trusting most people in general, strong sense of belonging, size and composition of personal networks, population living alone) can be disaggregated by visible minority and selected sociodemographic characteristics for the population in private households. Data are available for Canada. This data visualization tool is part of a broader conceptual framework on social inclusion and covers a total of 11 themes. Each theme has a similar interactive visualization tool.Release date: 2025-07-07
- 14. Social inclusion indicators for ethnocultural groups in Canada: Education and skills developmentData Visualization: 71-607-X2023011Description: This interactive data visualization tool uses graphs to present social inclusion indicators under the theme of Education and skills development. The indicators (highest certificate, diploma or degree [6] and knowledge of official languages [4]) can be disaggregated by visible minority and selected sociodemographic characteristics for the population in private households. Data are available for Canada, geographical regions of Canada, province or territory and census metropolitan area. This data visualization tool is part of a broader conceptual framework on social inclusion and covers a total of 11 themes. Each theme has a similar interactive visualization tool.Release date: 2025-07-07
- Data Visualization: 71-607-X2024020Description: This interactive tool details the characteristics of racialized postsecondary students in Canada. This tool includes information on the number of Canadian students and graduates by population group, educational qualification, field of study, age group, and gender. Data are available at the national, provincial and territorial levels.Release date: 2025-06-25
- Table: 37-10-0264-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Number of new entrants to postsecondary education by Indigenous identity, select educational qualifications (Classification of programs and credentials), field of study (Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings), gender and age group.Release date: 2025-06-25
- Table: 37-10-0265-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Number of Canadian postsecondary graduates by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Primary groupings), gender, and age group.Release date: 2025-06-25
- Table: 37-10-0266-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Number of Canadian postsecondary graduates by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings), gender and age group.Release date: 2025-06-25
- Table: 37-10-0267-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Number of Canadian postsecondary enrolments by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Primary groupings), gender, and age group.Release date: 2025-06-25
- Table: 37-10-0268-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription: Number of Canadian postsecondary enrolments by visible minority group, educational qualification (Classification of programs and credentials - professional degree variant), field of study (Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings), gender and age group.Release date: 2025-06-25
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Analysis (673)
Analysis (673) (670 to 680 of 673 results)
- 671. Delineation of Canada's North: An Examination of the North-South Relationship in Canada ArchivedArticles and reports: 92F0138M2000003Description:
Statistics Canada's interest in a common delineation of the north for statistical analysis purposes evolved from research to devise a classification to further differentiate the largely rural and remote areas that make up 96% of Canada's land area. That research led to the establishment of the census metropolitan area and census agglomeration influenced zone (MIZ) concept. When applied to census subdivisions, the MIZ categories did not work as well in northern areas as in the south. Therefore, the Geography Division set out to determine a north-south divide that would differentiate the north from the south independent of any standard geographic area boundaries.
This working paper describes the methodology used to define a continuous line across Canada to separate the north from the south, as well as lines marking transition zones on both sides of the north-south line. It also describes the indicators selected to derive the north-south line and makes comparisons to alternative definitions of the north. The resulting classification of the north complements the MIZ classification. Together, census metropolitan areas, census agglomerations, MIZ and the North form a new Statistical Area Classification (SAC) for Canada.
Two related Geography working papers (catalogue no. 92F0138MPE) provide further details about the MIZ classification. Working paper no. 2000-1 (92F0138MPE00001) briefly describes MIZ and includes tables of selected socio-economic characteristics from the 1991 Census tabulated by the MIZ categories, and working paper no. 2000-2 (92F0138MPE00002) describes the methodology used to define the MIZ classification.
Release date: 2000-02-03 - Articles and reports: 92F0138M1996001Description:
The purpose of this document is to report on the reasoning for continuing to use the digital planimeter for calculating land area for the 1996 Census. Despite the fact that the data are subject to a number of errors and logical inconsistencies, the Geography Division does not yet have a digital database in place to support the automated calculation of land area.
This report first provides an historical background on the treatment of land area. It then presents the results of some land area tests based on 1991 data. The tests include the actual use of the digital planimeter, as well as logical consistency checks that compare land area with total area. Finally, a description of the 1996 Digital Cartographic File of enumeration areas (EA/DCF) demonstrates the reason why that file is not employed to calculate land area in an automated fashion.
Release date: 1999-03-05 - 673. Automated Land Area Tests for the 2001 Census: Preliminary Results Using the 1996 Digital Cartographic Files ArchivedArticles and reports: 92F0138M1998001Description:
Prior to the 2001 Census, the Geography Division manually calculated land area using a planimeter. The manual approach was necessary since the division did not have a national digital database to support an automated method. The manual land area calculation was a labour intensive process as well as very time consuming, expensive and very prone to error. With the anticipation of having a national digital base for the 2001 Census (to be called the National Geographic Base or NGB), the automated land area calculation becomes a simple GIS process.
The objectives of this paper are to show the effects of data aggregation and different map projections on automated land area calculation. The testing is a two- staged process; the first stage uses the 1996 Digital Cartographic Files (DCFs) and the second stage will use the NGB. Although the DCFs are not ideal for testing land area, this two-staged approach is necessary since the NGB will not be completed until Autumn 1998. This report presents results on the first stage using the 1996 DCFs.
The results reveal that the effects of data aggregation are minimal; thus land area can be stored at the census block level and then aggregated to higher level geographic entities without any serious ramifications for the 2001 Census. The results also indicate that an equal-area projection, specifically the Albers Equal-Area Conic projection, is more appropriate for calculating land area.
Release date: 1998-10-26
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Reference (282)
Reference (282) (20 to 30 of 282 results)
- Geographic files and documentation: 92-162-GDescription: This reference guide is intended for users of the Census Subdivisions Boundary File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.Release date: 2025-06-18
- Geographic files and documentation: 92-162-XDescription: The Census Subdivision Boundary File contains the boundaries of all census subdivisions which combined cover all of Canada. A census subdivision is a municipality or an area treated as an equivalent to a municipality for statistical purposes (for example, unorganized territories). The file provides a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.
The Census Subdivision Boundary File is portrayed in Lambert conformal conic projection and is based on the North American Datum of 1983 (NAD83). A reference guide is available (92-162-G).
Release date: 2025-06-18 - Geographic files and documentation: 92-500-XGeography: CanadaDescription:
This geographical file represents Canada's national road network, containing information such as street names, types, directions and address ranges.
A reference guide is available (Road Network File, Reference Guide, 92-500-G).Release date: 2025-06-18 - Notices and consultations: 92F0009XDescription: This report provides a summary of changes to municipal boundaries, status and names. The list is usually produced on an annual basis for changes that occurred during the previous year. A five year list is produced on Census of population years.Release date: 2025-06-18
- 25. The Canadian Index of Social Resilience and the Canadian Index of Social Vulnerability: User GuideSurveys and statistical programs – Documentation: 45-20-00012025002Description: The Canadian Index of Social Resilience (CISR) and the Canadian Index of Social Vulnerability (CISV) were created to provide area-based information on resilience and vulnerability to natural hazards and disasters across Canada. The user guide explains how the CISR and CISV were developed and how to use them. The indexes can be used to better understand areas which may experience the largest disproportional social impacts from natural hazards.Release date: 2025-05-27
- Surveys and statistical programs – Documentation: 98-20-00032021034Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analysing data. This video will introduce you to census data and census data tables.Release date: 2025-05-07
- Surveys and statistical programs – Documentation: 98-20-00032021035Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analyzing data. This video will explain the data requirements for creating a table with census data.Release date: 2025-05-07
- Surveys and statistical programs – Documentation: 98-20-00032021036Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analyzing data. This video will provide you with a deeper understanding of census focuses and populations of interest.Release date: 2025-05-07
- Surveys and statistical programs – Documentation: 98-20-00032021037Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analyzing data. This video will explore the variables and dimensions that are associated with different focuses and populations of interest.Release date: 2025-05-07
- Surveys and statistical programs – Documentation: 98-20-00032021040Description: The purpose of this series of videos is to provide you with a good understanding of data table building concepts and to present you with some of the data table key components that might come into play when analyzing data. This video will explore census geographies and show you how to use them when building a table.Release date: 2025-05-07
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