National accounts and Gross Domestic Product

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Data (453)

Data (453) (0 to 10 of 453 results)

  • Table: 36-10-0491-01
    (formerly: CANSIM 379-8031)
    Frequency: Monthly
    Description:

    This table contains 28665 series, with data for years 1997 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada);  Seasonal adjustment (2 items: Seasonally adjusted at annual rates; Trading-day adjusted);  Prices (2 items: Chained (2007) dollars; 2007 constant prices);  North American Industry Classification System (NAICS) (273 items: All industries; Goods-producing industries; Service-producing industries; Business sector industries; ...);  Release (35 items: December 22, 2017; December 1, 2017; October 31, 2017; September 29, 2017; ...).

    Release date: 2019-03-18

  • Data Visualization: 71-607-X2018015
    Description:

    Quarterly national balance sheet, financial flows, and other changes in assets accounts data presented in a from-whom-to whom basis for selected financial instruments.

    Release date: 2019-03-14

  • Table: 11-10-0065-01
    Frequency: Quarterly
    Description:

    Debt service ratios, interest and obligated principal payments on debt, and related statistics for households, Canada.

    Release date: 2019-03-14

  • Table: 36-10-0441-01
    (formerly: CANSIM 378-0128)
    Frequency: Quarterly
    Description:

    Reconciliation between the different aggregate measures of household borrowing produced by the Bank of Canada and Statistics Canada (National Balance Sheet Accounts), by loan instrument, on a quarterly basis.

    Release date: 2019-03-14

  • Table: 36-10-0441-02
    Frequency: Quarterly
    Description:

    Reconciliation between the different aggregate measures of household credit produced by the Bank of Canada and Statistics Canada (National Balance Sheet Accounts), by loan instrument, on a quarterly basis.

    Release date: 2019-03-14

  • Table: 36-10-0441-03
    Frequency: Quarterly
    Description:

    Reconciliation between the different aggregate measures of mortgage liabilities of the household sector produced by the Bank of Canada and Statistics Canada (National Balance Sheet Accounts), by loan instrument, on a quarterly basis.

    Release date: 2019-03-14

  • Table: 36-10-0441-04
    Frequency: Quarterly
    Description:

    Reconciliation between the different aggregate measures of consumer credit produced by the Bank of Canada and Statistics Canada (National Balance Sheet Accounts), by loan instrument, on a quarterly basis.

    Release date: 2019-03-14

  • Table: 36-10-0448-01
    (formerly: CANSIM 378-0126)
    Geography: Canada
    Frequency: Quarterly
    Description:

    This table contains 2835 series, with data for years 1990 - 2017 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Sectors (35 items: Total all sectors; National balance sheet; Households and non-profit institutions serving households; Households; ...) Categories (81 items: Total financial assets; Official international reserves; Gold; Foreign currency deposits and securities; ...).

    Release date: 2019-03-14

  • Table: 36-10-0467-01
    (formerly: CANSIM 378-1000)
    Geography: Canada
    Frequency: Quarterly
    Description:

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

    Release date: 2019-03-14

  • Table: 36-10-0578-01
    (formerly: CANSIM 378-0119)
    Geography: Canada
    Frequency: Quarterly
    Description:

    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.

    Release date: 2019-03-14
Analysis (163)

Analysis (163) (0 to 10 of 163 results)

  • Stats in brief: 11-001-X201907919154
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-03-20

  • Stats in brief: 11-001-X20190735421
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-03-14

  • Stats in brief: 11-001-X20190644035
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-03-05

  • Stats in brief: 11-001-X20190603278
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-03-01

  • Stats in brief: 11-001-X20190603569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2019-03-01

  • Articles and reports: 13-605-X201800154970
    Description:

    The 2008 financial crisis demonstrated how quickly economic shocks can spread between sectors and countries, making it apparent that the existing set of macroeconomic statistics contained gaps for identifying such systemic issues. Users therefore require new products from the System of National Accounts that demonstrate the financial linkages between sectors in the economy. The Special Data Dissemination Plus (SDDS+) and G20 Data Gaps initiatives were established by the International Monetary Fund (IMF) to address some of these data gaps, and presented specific recommendations to G20 countries. One of these recommendations asks statistical agencies to begin compiling more detailed data on the interconnectedness of the economy by incorporating a "From-Whom-To-Whom" (FWTW) framework. This FWTW framework includes statistics that make counterparty information explicit, showing how various sectors of the economy are connected by financial interdependencies. In other words, the data presented on this new basis allows users to answer the question "whom is funding whom and with what financial instruments". In this visualisation tool, we present six instruments on a FWTW basis in a fully customizable pivot table.

    Release date: 2018-12-21

  • Articles and reports: 13-605-X201800154971
    Description:

    The Bank of Canada (the Bank) and Statistics Canada both produce aggregate measures of borrowing, or credit, for sectors of the Canadian economy. The Statistics Canada measures are part of the National Balance Sheet Accounts (NBSA), which cover the entire economy and directly align with the internationally recognized national accounting principles detailed in the United Nations System of National Accounts. The Bank’s data are presented based on the issuer of credit, i.e., the holder of the financial assets, and do not display liabilities. Both measures are constructed primarily from records of Canadian financial institutions and provide thorough coverage of lending by those institutions. They show a similar picture of the indebtedness of Canadian non-financial businesses, currently and in the past. However, the use of differing classification systems, methodologies and definitions result in some reconcilable differences in the aggregate measures. Therefore, the Bank and Statistics Canada conducted a joint study to understand and identify key differences between their respective measures of business credit loans, including non-mortgage business loans, non-residential mortgages and commercial paper.

    Release date: 2018-12-14

  • Articles and reports: 13-605-X201800154972
    Description:

    The principal motivation in producing estimates of seasonally adjusted household sector borrowing arose as a result of the observed seasonality present in the unadjusted credit market debt estimates. For example, Canadians tend to borrow more in the form of consumer credit in the fourth quarter, with the arrival of significant retail activity tied to the holidays, and then subsequently retrench in the first quarter. Moreover, mortgage borrowing has a tendency to slow down in the first quarter, but then pick up in the second and third quarters as winter recedes in many areas of Canada and resale activity picks up and families look to secure housing before the start of the upcoming school year. This phenomena of sub-annual cyclical patterns is not constrained to the household sector and can be seen in other areas such as government borrowing. Consequently, seasonal adjustment in this context enhances the interpretability of estimates that possess a strong cyclical component, eliminating the variation due to predictable and recurrent events, and provides data users, policy makers, and researchers with more accurate quarter-to-quarter movements that reveal the underlying trends in the data. While only household borrowing is the current sector of interest, seasonal adjustment will be eventually expanded to encompass other pertinent sectors in the Financial and Wealth Accounts.

    Release date: 2018-12-14

  • Articles and reports: 13-605-X201800154973
    Description:

    The goal of this paper is to explain the methodology and data sources used to construct a comprehensive economic account covering entities that fall within the definition of non-bank financial intermediation (NBFI), previously referred to as “shadow banking”. For policy-makers, researchers, and regulators, understanding the vulnerabilities that exist in the financial system does not stop at the traditional entities where oversight and risk assessment is well established. The activities of NBFIs are an important part of the financial system and, due to the many inter-linkages between NBFIs and the more formal system, it is crucial to develop the estimates needed to better monitor risk throughout the entire system. This economic account seeks, in part, to address that objective.

    Release date: 2018-12-14

  • Articles and reports: 13-605-X201800154968
    Description:

    Revised estimates of the Income and Expenditure Accounts (IEA) covering the period 2015 to 2017 have been released. These revised estimates incorporate the most current source data and seasonal patterns.

    Release date: 2018-11-30
Reference (82)

Reference (82) (0 to 10 of 82 results)

  • Notices and consultations: 13-605-X
    Description:

    This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.

    Release date: 2019-03-14

  • Surveys and statistical programs – Documentation: 15-602-X
    Description:

    With the 2015 comprehensive revision, the Canadian System of Macroeconomic Accounts (CSMA) has introduced a major presentational change to the national and the provincial and territorial input-output tables. The previous CSMA input-output presentation differed from the international standard and the practice found in most national statistical organizations. The CSMA has aligned its presentation with the international standard and replaces the presentation found in catalogues 15F0041X and 15F0042X, as well as 15F0002X.

    Release date: 2018-11-08

  • Surveys and statistical programs – Documentation: 15F0004X
    Description:

    The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

    At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

    The national IO model was not released in 2015 or 2016.

    Release date: 2018-04-03

  • Surveys and statistical programs – Documentation: 15F0009X
    Description:

    The input-output (IO) models are generally used to simulate the economic impacts of an expenditure on a given basket of goods and services or the output of one or several industries. The simulation results from a "shock" to an IO model will show the direct, indirect and induced impacts on GDP, which industries benefit the most, the number of jobs created, estimates of indirect taxes and subsidies generated, etc. For more details, ask us for the Guide to using the input-output simulation model, available free of charge upon request.

    At various times, clients have requested the use of IO price, energy, tax and market models. Given their availability, arrangements can be made to use these models on request.

    The interprovincial IO model was not released in 2015 or 2016.

    Release date: 2018-04-03

  • Surveys and statistical programs – Documentation: 15F0046X
    Description:

    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).

    Release date: 2018-04-03

  • Surveys and statistical programs – Documentation: 13-605-X201700114839
    Description:

    Users of macroeconomic statistics require long time series in order to understand economic cycles, forecast and conduct economic modeling. In general the longer the time series the better users are able to understand the economy. Statistics Canada has been producing macroeconomic account statistics since the 1930s. Over the last 80 plus years these statistics have evolved due to the changing nature of the economy, the development of international macroeconomic accounting standards and the development of new statistical methods and processes.

    Release date: 2017-08-31

  • Surveys and statistical programs – Documentation: 13-606-G201600114620
    Description:

    An explanation of the structure and concepts of Canada’s income and expenditure accounts.

    Release date: 2016-08-31

  • Surveys and statistical programs – Documentation: 13-606-G201600114619
    Description:

    An explanation of the structure and concepts of Canada’s supply and use accounts.

    Release date: 2016-05-31

  • Notices and consultations: 13-605-X201500314153
    Description:

    The Canadian System of Macroeconomic Accounts (CSMA) is a source of invaluable information for business, governments and citizens. These accounts provide users with important insights into the inner-workings of the economy, current economic trends and interactions between the various sectors of the economy. In order for these accounts to remain relevant, the underlying concepts, methods, classification systems and data sources need to be periodically updated.

    Release date: 2015-03-31

  • Notices and consultations: 13-605-X201500214145
    Description:

    Oil and gas exploration, development and production activities continue to grow in importance, making it essential that the appropriate level and growth of these activities are included in the measure of Gross Domestic Product (GDP). Statistics Canada recently began incorporating results from the Quarterly Survey of Capital Expenditures – Oil and Gas Activities in sub-annual GDP statistics (for years 2011, 2013, 2014). This note provides a brief overview of the survey and the incorporation of its results when estimating quarterly investment.

    Release date: 2015-03-03
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