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Description: Quarterly other changes in assets account data, for the household, non-profit institutions serving households, corporations, general governments and non-resident sectors, as well as the total of all sectors by category.

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General government gross domestic and foreign debt, and financial liabilities by category, quarterly.

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Quarterly Financial Flow Accounts data, for the household, corporations, general governments and non-resident sectors, as well as the total of all sectors and the statistical discrepancy, by category.

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This financial market summary table presents quarterly Financial Flow Accounts data, unadjusted, by category.

Description: Quarterly national balance sheet data, for the household, corporations, general governments and non-resident sectors, as well as the total of all sectors and the consolidated national balance sheet, by category, in both market and book value.

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Quarterly balance sheet of the other financial corporations sector presented on a modified whom-to whom basis at market value according to the Special Data Dissemination Standard Plus (SDDS plus).

Description: This credit market summary table presents quarterly national balance sheet account book value data, by category.

Description: Quarterly debt to gross domestic product, debt to disposable income and other indicators, for the household sector and the non-profit institutions serving households sector, by category.

Description: Quarterly total debt to equity and credit market debt to equity for private non-financial corporations.

Description: Quarterly gross and net debt to gross domestic product for federal and other levels of general government.

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Information on transactions for foreign debt securities issues by country, currency, maturity, sector and market of issuance.

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Quarterly data and information on issuance and holding of debt securities by issuer and holder residence and sectors and by maturity of the debt securities.

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Electric power selling price index (EPSPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2014=100).

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Electric power selling price index (EPSPI). Monthly data are available from February 1981. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2014=100).

Description: Quarterly data on vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.

Description: Annual sum of the quarterly data on vehicle registration by fuel type, vehicle type and number of vehicles, Canada, the provinces, census metropolitan areas and census sub-divisions.

Description: Retail sales, by commodities classified under the North American Product Classification System (NAPCS) Canada 2022, monthly, Canada.

Description: Quarterly data on new motor vehicle registration, by origin of assembly and by fuel type, Canada.

Description: Annual sum of the quarterly data on new motor vehicle registration by origin of assembly and fuel type, Canada.

Description: This interactive dashboard provides access to current and historical data on new motor vehicle registrations. It allows the user to compare and analyze new motor vehicle registrations data by fuel type, geography and vehicle type. This web application is updated quarterly.

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The Department of Supply and Services’ role and procedures are outlined as they relate to those using the services of the Department of Supply and Services and those receiving contracts.

There are two basic principles which cover all the policies and procedures. These are: i) the equality of opportunity to compete for Government contracts must be afforded to all qualified suppliers; and ii) that fair value for the taxpayers’ dollar must be obtained.

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This paper discusses some of the changes in market research we should expect in the next decade. Currently, studies are issue oriented: they provide answers to specific questions or marketing issues. The next decade will see research projects with a broader scope: to understand how markets work and why consumers behave as they do. Measurements will be more complex, and multivariate analysis techniques will be used extensively to identify the subtle relationships within the data. Marketing models will be the conceptual framework for these more complex studies. Market analysis identifying consumer responsiveness segments provides a case example of what might be expected from model-based market research studies.

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This paper identifies the stages in the life-cycle of government policies and programs. For each stage, examples are given of how survey research is presently used and likely trends over the next decade are identified.

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This document describes the process of commissioning market research at Imperial Oil Limited. It outlines the management processes that precede commissioning and defines the expectations of a typical buyer of research work. It also examines the need to have a satisfactory business relationship between the buyer and the seller, and it provides a list of the attributes most often considered by a company seeking a supplier for a particular research project.

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This paper provides a summary description of some of the characteristics of the proposals for new surveys submitted to Statistics Canada for review and consultation by other federal government departments. It describes which departments have been involved, gives details of the types of studies proposed and methodologies used, and deals briefly with some of the problems which the review process has uncovered.

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This paper examines the effects of fertility, mortality and migration on the age profile of the Canadian population, particularly the effect of fluctuating fertility patterns which have occurred since the second World War. The author analyses the impact on social services and the economy as the shifting requirements of the “Baby Boom” cohorts move through their life cycle.

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A major packaged goods manufacturer details his firm’s assemblage and application of market understanding information, impact information, market tracking, share/volume forecasting and documentation procedure.

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Increasing costs without a concomitant increase in research budgets are putting severe strains on research quality. Improvements in technology, however, both in the physical domain and in the conceptual domain are sufficient to maintain research productivity at least at its prior level.

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Due to the absence of hard data and the lack of standardization with respect to nonresponse terminology and reporting procedures, U.S. commercial survey researchers have been unable to obtain an accurate assessment of the nature and extent of the nonresponse problem. However, the results of two recent studies conducted by the author among leading U.S. based market and public opinion research firms revealed that nonresponse is one of the major problems now confronting the commercial survey research industry. This paper discusses the results of the two studies and their implications.

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The article provides a general overview of the concepts of incomplete data and non-response. It is recognized that non-response is an important indicator of data quality, as it affects the estimators by introducing bias and increasing variance due to a reduction in the effective sample size. The relationship between bias and the non-response rate is less obvious, since it depends on the extent of non-response and on the difference in the various characteristics between respondents and non-respondents.

The most effective way of dealing with the effects of non-response is to minimize its extent. However, any attempt to control the extent of non-response must be based on a good understanding of its origins. The causes and extent of non-response are fundamentally related to (i) the type of survey, (ii) the data capture methods, and (iii) the sample design. However, given a sample design, the extent of non-response will be influenced by factors such as the type of region and the type of non-response.

There are several ways to handle incomplete data. Each one, in the end, assigns a value to the missing or incorrect data, unless it is decided to publish “raw” data. The procedure for assigning values is called imputation and such an imputed value presumably describes the characteristic of the non-respondent.

The article provides a brief philosophical explanation about validation and imputation and their applications in the methodology of the various imputation procedures. These include weighting, replication, hot deck imputation using previous data and substitution by a zero value. The using of imputation compared with the methods used in the Canadian Labour Force Survey (LFS) is also discussed. A decision table is provided indicating the various steps to follow for a particular case of a partially completed LFS questionnaire.

Description: This statistical program develops a set of population projections by age and gender for Canadian communities, as defined by the statistical concepts of census divisions (CD) and census subdivisions (CSD).

Description: This product provides a harmonized Canada-wide open dataset of cycling infrastructure. The Data Exploration and Integration Lab (DEIL) compiled data from open data sources, validated, and standardized these to the The Canadian Bikeway Comfort and Safety (CAN-BICS) classification system. The dataset can be used for research, planning, policy and official statistics.

Description: The purpose of this product is to provide an accessible and harmonized Canada-wide open dataset of public transit infrastructure. The Data Exploration and Integration Lab (DEIL) compiled and validated General Transit Feed Specification (GTFS) schedule data from open data sources across Canada. The dataset can be used for research, planning, policy and official statistics.

Description: The Housing Economic Account (HEA) is a set of statistical statements that record the macroeconomic impacts related to the production of housing in Canada. The account is organized using a statistical framework that is consistent with the Canadian System of National Accounts. Estimates of investment, net stock, depreciation, average age, and remaining useful service life are available by province and territory. Estimates of economic contribution of investment resulting from the production of housing assets are also available and are measured in terms of the associated value added, compensation of employees, and number of jobs. Estimates for housing related environmental impacts such as greenhouse gas emissions and clean tech investments are also available.

Description: This monthly survey utilizes survey data and administrative data provided by federal, provincial and territorial authorities responsible for the regulation of natural gas within their respective jurisdictions. Data are compiled on natural gas production, transmission, storage and distribution, and include derived provincial receipts and deliveries for Canada and the provinces and territories.

Description: The Rural Canada Non-Profits (RCNP) database provides statistical information on non-profit organizations (NPOs) in rural and small town Canada including counts, total revenue and employment.

Description: The Environmental and Clean Technology Products Economic Account (ECTPEA) is one of the main elements of the United Nations System of Environmental-Economic Accounting (SEEA) Central Framework, which was adopted as an international statistical standard in 2012. This account provides statistics on the production and use of environmental and clean technology (ECT) products in the Canadian economy, expressed in monetary values.

Description: The Government of Nunavut conducts the Nunavut Air Exit Survey (NAES) and the Nunavut Cruise Exit Survey (NCES) in partnership with Statistics Canada to better understand and serve travellers visiting Nunavut.

Description: Through the linkage process the Linkable File Environment (LFE) leverages the single-subject ability of existing surveys and administrative data to inform on business and economic issues. It positions these surveys and administrative data to support longitudinal and cross sectional analysis and offers opportunities, amongst others, to use additional variables to assess entrepreneurship, employment, productivity, competitiveness etc.