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This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.

This reference guide is intended for users of the Survey of Environmental Goods and Services (SEGS). The tables indicate which technologies and services were included in SEGS.

The Canadian Housing Statistics Program (CHSP) uses new sales data to explore property and buyer characteristics in a three-part series that focuses on Nova Scotia, New Brunswick and British Columbia. As the third and final part of this series, this article examines the relationship between house prices and incomes through the price-to-income ratio of properties sold from January 1 to December 31, 2018.

Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

This study provides the first socioeconomic profile of women board directors and officers in Canada from an intersectional lens. Linking data from the Corporations Returns Act with those from the 2016 Census, exploratory estimates are presented. The study analyzes disparities in family, work and income characteristics, mainly by gender and visible minority status. Further, it informs on the types of businesses in which diverse women executives contribute to corporate governance and strategic decision making.

The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.

The data for the products associated with this technical reference guide are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA). Data on special topics linked to income and income tax deductions can be derived from the T1 income tax returns. Topics of interest for this preliminary release of the T1 data can vary from year to year.

Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

Each year, Statistics Canada produces a report on foreign control {Foreign control in the Canadian economy}, as stipulated in the Corporations Returns Act. This report draws a national profile of foreign control in the Canadian corporate economy, examining financial and ownership information on corporations conducting business in Canada. This information is used to evaluate the extent and effect of non-resident control of the Canadian corporate economy. The report includes charts and tables providing time series on selected financial characteristics (assets, operating revenue and operating profits) by specific country of control and classified by major industry groups. The statistics provided in the Corporations Returns Act report are presented at the 21-industry level, using the North American Industry Classification System (NAICS Canada 2012). Previous versions of this report may use different industry classification systems. The industry system used will be referenced within the specific version.

The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.

Each year, Statistics Canada produces a report on foreign control {Foreign control in the Canadian economy}, as stipulated in the Corporations Returns Act. This report draws a national profile of foreign control in the Canadian corporate economy, examining financial and ownership information on corporations conducting business in Canada. This information is used to evaluate the extent and effect of non-resident control of the Canadian corporate economy. The report includes charts and tables providing time series on selected financial characteristics (assets, operating revenue and operating profits) by specific country of control and classified by major industry groups. The statistics provided in the Corporations Returns Act report are presented at the 21-industry level, using the North American Industry Classification System (NAICS Canada 2012). Previous versions of this report may use different industry classification systems. The industry system used will be referenced within the specific version.

Canada at a Glance presents current statistics on Canadian demography, education, health and aging, justice, housing, income, labour market, household, economy, travel, finance, agriculture, foreign trade and environment. This booklet also includes important international comparisons, so that readers can see how Canada stacks up against its neighbours. Updated yearly, Canada at a Glance is a very useful reference for those who want quick access to current Canadian statistics.

The public use microdata file (PUMF) from the Canadian Community Health Survey (CCHS) provides data for health regions and combinations of health regions across Canada. Over the two year period, data are based on interviews with approximately 130,000 respondents aged 12 or older, residing in households in all provinces and territories.

The files include information on a wide range of topics, including: physical activity, height and weight, smoking, exposure to second hand smoke, alcohol consumption, general health, chronic health conditions, injuries, and use of health care services. It also provides information on the socio-demographic, income and labour force characteristics of the population.

These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.

These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.

This product is part of the Dimension Series which provides an in-depth analysis of census data. More than 150 tables represent a variety of special interest subjects linking a number of Census variables. Statistical information is presented on themes of considerable public interest with some tables examining historical trends and other tables detailing significant sub-populations.Data for geographical levels of Canada, Provinces and Territories are most widely represented with some data tables produced at the Census Metropolitan Area level. The Portrait of Official Language Communities in Canada and the Portrait of Aboriginal Population of Canada contain some information at the community level.Some tables show comparisons with data from earlier censuses to provide an historical perspective.

These are a series of approximately 65 tabulations of 1996 Census data, which features two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings. All variables covered by the 1996 Census are represented in the BST program. Forward Sortation Level geography is available for the first time.

This table presents admission category and applicant type, immigrant status and period of immigration, age, sex and selected demographic, cultural, labour force and educational characteristics for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

This table presents ethnic origin, age, sex and selected demographic, cultural, labour force, educational and income characteristics for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

The Canadian Housing Statistics Program (CHSP) uses new sales data to explore property and buyer characteristics in a three-part series that focuses on Nova Scotia, New Brunswick and British Columbia. As the third and final part of this series, this article examines the relationship between house prices and incomes through the price-to-income ratio of properties sold from January 1 to December 31, 2018.

Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.

This study provides the first socioeconomic profile of women board directors and officers in Canada from an intersectional lens. Linking data from the Corporations Returns Act with those from the 2016 Census, exploratory estimates are presented. The study analyzes disparities in family, work and income characteristics, mainly by gender and visible minority status. Further, it informs on the types of businesses in which diverse women executives contribute to corporate governance and strategic decision making.

The federal government offers business innovation and growth support through program streams managed by its departments and agencies. In 2017, enterprises in the manufacturing sector accounted for almost one-quarter of the beneficiaries of this support and received almost one-third of the total value of support (Statistics Canada, 2020). The objective of this analysis is to assess the impact of federal growth and innovation support on the employment and revenue of beneficiary enterprises in the manufacturing sector between 2007 and 2017. This analysis suggests that enterprises that received federal support for growth and innovation experienced stronger employment and revenue growth relative to non-beneficiary enterprises. Over the three years following receipt of support, employment growth for beneficiary enterprises averaged 1.8% per year while, on average, enterprises that did not receive support experienced employment declines. Over the same period, the average annual revenue growth of beneficiary enterprises was higher than that of non-beneficiary enterprises by 4.6 percentage points.

Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

This American Sign Language video provides a general snapshot of the employment and income impacts of COVID-19 on crowdsource participants aged 15 to 64 living with long-term conditions and disabilities. Results are based on the recent Statistics Canada crowdsourcing data collection completed by over 13,000 Canadians with long-term conditions or disabilities between June 23 and July 6, 2020.

This presentation gives an overview of the topics discussed during the virtual roundtables on the 2021 Census of Population questionnaire content. The five main topics are the following: family, demography and activity limitations; languages, ethnocultural diversity and immigration (including citizenship, religion, population groups, minority language education rights); Indigenous peoples; education, labour, commuting, and Veterans; and housing, income and expenditures.

The COVID-19 pandemic has caused unprecedented job losses in Canada, impacts that can increase the number of Canadians who are susceptible to income-related food insecurity. This article is based on data collected during the week of May 4 to 10, 2020, and looks at the populations who reported experiencing food insecurity due to financial difficulties.

This infographic is designed to provide data on the number of employees in primary agriculture. These data include employees by industry, province, and farm revenue. They also include type of employment (full-time, part-time or seasonal) and temporary foreign workers employed in agriculture.

This reference guide is intended for users of the Survey of Environmental Goods and Services (SEGS). The tables indicate which technologies and services were included in SEGS.

The data for the products associated with this technical reference guide are derived from an early version of the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA). Data on special topics linked to income and income tax deductions can be derived from the T1 income tax returns. Topics of interest for this preliminary release of the T1 data can vary from year to year.

This fact sheet offers a concise overview of updated—new or modified—content for the 2021 Census of Population that is specific to the theme of income and expenditures, and housing, which includes the following topics: income and expenditures, and housing. The changes considered for these topics are explained, along with the resulting approach for 2021.

The input-output multipliers are derived from the supply and use tables. They are used to assess the effects on the economy of an exogenous change in final demand for the output of a given industry. They provide a measure of the interdependence between an industry and the rest of the economy.

The national and provincial multipliers show the direct, indirect, and induced effects on gross output, the detailed components of GDP, jobs, and imports. Like the supply and use tables, the multipliers are presented at four levels of aggregation: Detail level (236 industries), Link-1997 level (187 industries), Link-1961 level (111 industries) and Summary level (35 industries).

Starting with the 2012 reference year, annual individual and family income data is produced by the Canadian Income Survey (CIS). The CIS is a cross-sectional survey developed to provide information on the income and income sources of Canadians, along with their individual and household characteristics. The CIS reports on many of the same statistics as the Survey of Labour and Income Dynamics (SLID), which last reported on income for the 2011 reference year. This note describes the CIS methodology, as well as the main differences in survey objectives, methodology and questionnaires between CIS and SLID.

This reference guide provides information that enables users to effectively use, apply and interpret data from the 2011 National Household Survey (NHS). This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the NHS.

This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research for the Survey of Labour and Income Dynamics in 2009.

This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research for the Survey of Labour and Income Dynamics in 2008.

This report describes the quality indicators produced for the 2004 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.

This report describes the quality indicators produced for the 2005 Survey of Household Spending. These quality indicators, such as coefficients of variation, nonresponse rates, slippage rates and imputation rates, help users interpret the survey data.