Business performance and ownership

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  • Table: 10-10-0122-01
    (formerly: CANSIM 176-0043)
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 71 series, with data starting from 1934 (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 items: Canada ...), Rates (71 items: Bank rate; last Tuesday or last Thursday; Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate ...).
    Release date: 2020-02-28

  • Table: 10-10-0145-01
    (formerly: CANSIM 176-0078)
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 38 series, with data starting from 1957 (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), Rates (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).
    Release date: 2020-02-28

  • Table: 33-10-0036-01
    (formerly: CANSIM 176-0080)
    Geography: Canada
    Frequency: Daily
    Description:

    This table contains 27 series, with data starting from 1981 (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); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).

    Release date: 2020-02-28

  • Table: 36-10-0116-01
    (formerly: CANSIM 380-0076)
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly current and capital accounts for financial, non-financial and total corporations, including property income, disposable income, net saving and net lending, Canada.
    Release date: 2020-02-28

  • Table: 36-10-0125-01
    (formerly: CANSIM 380-0086)
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly financial, non-financial and total corporation profits before taxes, on an original-cost-basis, excluding government business enterprises, Canada.
    Release date: 2020-02-28

  • Table: 10-10-0144-01
    (formerly: CANSIM 176-0077)
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 8 series, with data starting from 1992 (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), Rates (8 items: Bank rate; Treasury bill auction - average yields: 3 month; Treasury bill auction - average yields: 6 month; Treasury bill auction - average yields: 1 year; ...).
    Release date: 2020-02-27

  • Table: 21-10-0182-01
    (formerly: CANSIM 361-0072)
    Geography: Canada, Province or territory
    Frequency: Every 2 years
    Description: The summary statistics by North American Industry Classification System (NAICS 7111) for the performing arts sector which include all members under Summary statistics, every two years (dollars) for four years of data.
    Release date: 2020-02-27

  • Table: 23-10-0079-01
    (formerly: CANSIM 401-0001)
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly operating and financial statistics (number of thousands of: passengers, passenger-kilometres, available seat-kilometres, load factor, hours flown, turbo fuel consumed in litres, and total operating revenues) for major Canadian airlines.

    Release date: 2020-02-27

  • Table: 33-10-0102-01
    (formerly: CANSIM 351-0012)
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: The summary statistics by North American Industry Classification System (NAICS), which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of all NAICS under accommodation services (721), annual, for five years of data.
    Release date: 2020-02-27

  • Table: 33-10-0103-01
    (formerly: CANSIM 351-0013)
    Geography: Canada
    Frequency: Annual
    Description: The operating expenses by North American Industry Classification System (NAICS), annual (percent) which include all members under industry expenditures, for traveller accommodation, annual (percentage), for five years of data.
    Release date: 2020-02-27
Data (536)

Data (536) (0 to 10 of 536 results)

  • Table: 10-10-0122-01
    (formerly: CANSIM 176-0043)
    Geography: Canada
    Frequency: Monthly
    Description: This table contains 71 series, with data starting from 1934 (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 items: Canada ...), Rates (71 items: Bank rate; last Tuesday or last Thursday; Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate ...).
    Release date: 2020-02-28

  • Table: 10-10-0145-01
    (formerly: CANSIM 176-0078)
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 38 series, with data starting from 1957 (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), Rates (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).
    Release date: 2020-02-28

  • Table: 33-10-0036-01
    (formerly: CANSIM 176-0080)
    Geography: Canada
    Frequency: Daily
    Description:

    This table contains 27 series, with data starting from 1981 (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); Type of currency (27 items: Australian dollar, daily average; Brazilian real, daily average; Chinese renminbi, daily average; European euro, daily average; ...).

    Release date: 2020-02-28

  • Table: 36-10-0116-01
    (formerly: CANSIM 380-0076)
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly current and capital accounts for financial, non-financial and total corporations, including property income, disposable income, net saving and net lending, Canada.
    Release date: 2020-02-28

  • Table: 36-10-0125-01
    (formerly: CANSIM 380-0086)
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly financial, non-financial and total corporation profits before taxes, on an original-cost-basis, excluding government business enterprises, Canada.
    Release date: 2020-02-28

  • Table: 10-10-0144-01
    (formerly: CANSIM 176-0077)
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 8 series, with data starting from 1992 (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), Rates (8 items: Bank rate; Treasury bill auction - average yields: 3 month; Treasury bill auction - average yields: 6 month; Treasury bill auction - average yields: 1 year; ...).
    Release date: 2020-02-27

  • Table: 21-10-0182-01
    (formerly: CANSIM 361-0072)
    Geography: Canada, Province or territory
    Frequency: Every 2 years
    Description: The summary statistics by North American Industry Classification System (NAICS 7111) for the performing arts sector which include all members under Summary statistics, every two years (dollars) for four years of data.
    Release date: 2020-02-27

  • Table: 23-10-0079-01
    (formerly: CANSIM 401-0001)
    Geography: Canada
    Frequency: Monthly
    Description:

    Monthly operating and financial statistics (number of thousands of: passengers, passenger-kilometres, available seat-kilometres, load factor, hours flown, turbo fuel consumed in litres, and total operating revenues) for major Canadian airlines.

    Release date: 2020-02-27

  • Table: 33-10-0102-01
    (formerly: CANSIM 351-0012)
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: The summary statistics by North American Industry Classification System (NAICS), which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of all NAICS under accommodation services (721), annual, for five years of data.
    Release date: 2020-02-27

  • Table: 33-10-0103-01
    (formerly: CANSIM 351-0013)
    Geography: Canada
    Frequency: Annual
    Description: The operating expenses by North American Industry Classification System (NAICS), annual (percent) which include all members under industry expenditures, for traveller accommodation, annual (percentage), for five years of data.
    Release date: 2020-02-27
Analysis (363)

Analysis (363) (0 to 10 of 363 results)

  • Stats in brief: 11-001-X20200563682
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-02-25

  • Journals and periodicals: 11-632-X
    Description:

    The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.

    Release date: 2020-02-20

  • Articles and reports: 11F0019M2020006
    Description:

    This paper examines the role of firm characteristics in accounting for the between-firm average employment earnings dispersion in the Canadian business sector between 2002 and 2015. It uses two decomposition methods to analyze the level of and changes in the between-firm average employment earnings dispersion by firm characteristics, such as productivity, globalization status (importing, exporting, foreign ownership), technology intensity, firm size, firm age, industry and geographic region.

    Release date: 2020-02-20

  • Articles and reports: 11F0019M2020007
    Description:

    The dispersion of earnings among workers may come from multiple sources. It may reflect differences in workers’ characteristics, such as education and experience. It may also be because workers are employed at different firms that pay differently. Recent studies from other countries have found that firms play an important role in explaining earnings disparities among workers, often through the link between productivity and pay. However, there has been no Canadian evidence on the link between the earnings dispersion and firm differences because of a lack of matched employer–employee data. This paper presents developments in the dispersion of individuals’ earnings in Canada and examines the potential of firm characteristics to account for this dispersion and changes in this dispersion in the post-2000 period using the Canadian Employer–Employee Dynamics Database.

    Release date: 2020-02-20

  • Journals and periodicals: 11F0019M
    Geography: Canada
    Description:

    The Analytical Studies Branch Research Paper Series provides for the circulation of research conducted by Analytical Studies Branch staff and collaborators. The Series is intended to stimulate discussion on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. Readers of the Series are encouraged to contact the authors with their comments and suggestions. All the papers in the Analytical Studies Branch Research Paper Series go through institutional and peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.

    Release date: 2020-02-20

  • Stats in brief: 11-001-X202004322583
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-02-12

  • Articles and reports: 11F0019M2020005
    Description:

    Understanding intangible investments is essential for providing accurate measures of gross fixed capital formation (GFCF), gross domestic product (GDP) and productivity growth, and for understanding the innovation system. Statistical agencies need measures of intangible investment to produce economic statistics on aggregate activity that accurately measure concepts such as GDP, GFCF or savings. The levels of GDP, GFCF and savings will be underestimated to the extent that expenditures are incorrectly classified as intermediate inputs that are fully consumed during the period being measured—and not as investments that are not fully consumed during the period when the expenditures are incurred. Estimates for GDP and productivity growth rates may be similarly underestimated. This paper updates and expands upon the intangible capital estimates presented by Baldwin et al. (2009), who extended already measured intangibles (i.e., research and development [R&D], software, mineral exploration) to include additional asset classes consistent with international research on intangible capital measurement (see Corrado, Hulten and Sichel 2009).

    Release date: 2020-02-12

  • Stats in brief: 11-627-M2020010
    Description:

    This infographic examines the participation of Canadian women and women-owned businesses in the free trade between Canada and Chile.

    Release date: 2020-02-05

  • Stats in brief: 11-001-X202001721943
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-01-17

  • Articles and reports: 11F0019M2020001
    Description:

    Multifactor productivity (MFP) declined in Canada from 2000 to 2009 and then recovered after. The movements in productivity since 2000 have attracted great attention from researchers and policy makers because productivity is important both for economic growth and for improvements in living standards. This paper applies the stochastic frontier framework to decompose each firm’s MFP into two parts: its technological frontier and its technical efficiency. Change in the aggregate technological frontier refers to improvements in the productivity potential of an economy, i.e., the maximum productivity of an economy if all firms are fully efficient. Aggregate technical efficiency reflects the economy’s capacity to achieve that potential. The results of this decomposition can show whether the movements in productivity after 2000 in Canada were mainly the result of changes in the technological frontier and productivity potential or of changes in the technical efficiency.

    Release date: 2020-01-17
Reference (104)

Reference (104) (0 to 10 of 104 results)

  • Surveys and statistical programs – Documentation: 11-633-X2019001
    Description:

    The mandate of the Analytical Studies Branch (ASB) is to provide high-quality, relevant and timely information on economic, health and social issues that are important to Canadians. The branch strategically makes use of expert knowledge and a large range of statistical sources to describe, draw inferences from, and make objective and scientifically supported deductions about the evolving nature of the Canadian economy and society. Research questions are addressed by applying leading-edge methods, including microsimulation and predictive analytics using a range of linked and integrated administrative and survey data. In supporting greater access to data, ASB linked data are made available to external researchers and policy makers to support evidence-based decision making. Research results are disseminated by the branch using a range of mediums (i.e., research papers, studies, infographics, videos, and blogs) to meet user needs. The branch also provides analytical support and training, feedback, and quality assurance to the wide range of programs within and outside Statistics Canada.

    Release date: 2019-05-29

  • Classification: 12-003-X
    Description:

    The North American Product Classification System (NAPCS) is the departmental standard for the classification of products (goods and services). The classification is a joint project of the national statistical agencies of Canada, Mexico and the United States. However, Statistics Canada has created new classification items for cannabis products in NAPCS Canada V2.0 that are unique to Canada. NAPCS is used to produce product statistics on a variety of topics, including the value of outputs of industries, the consumption by businesses and households, the value of imports and exports, and the movement of industrial and raw material prices.

    NAPCS Canada 2017 Version 2.0 comprises definitions for its 5,033 categories. At the lowest level of the classification, definitions include a descriptive text, as well as illustrative examples, inclusions and exclusions where appropriate.

    Release date: 2018-10-11

  • Classification: 12-595-X
    Description:

    The Chart of Accounts comprises a balance sheet, an income statement and selected other accounts. The balance sheet provides information on the financial position of a business. The income statement provides information on the performance of a business. The elements of the balance sheet are assets, liabilities and equity. The elements of the income statement are revenues; expenses; gains/losses, corporate taxes and other items; and extraordinary gains/losses, non-recurring items and adjustments.

    Release date: 2011-05-31

  • Surveys and statistical programs – Documentation: 12-001-X200800210760
    Description:

    The design of a stratified simple random sample without replacement from a finite population deals with two main issues: the definition of a rule to partition the population into strata, and the allocation of sampling units in the selected strata. This article examines a tree-based strategy which plans to approach jointly these issues when the survey is multipurpose and multivariate information, quantitative or qualitative, is available. Strata are formed through a hierarchical divisive algorithm that selects finer and finer partitions by minimizing, at each step, the sample allocation required to achieve the precision levels set for each surveyed variable. In this way, large numbers of constraints can be satisfied without drastically increasing the sample size, and also without discarding variables selected for stratification or diminishing the number of their class intervals. Furthermore, the algorithm tends not to define empty or almost empty strata, thus avoiding the need for strata collapsing aggregations. The procedure was applied to redesign the Italian Farm Structure Survey. The results indicate that the gain in efficiency held using our strategy is nontrivial. For a given sample size, this procedure achieves the required precision by exploiting a number of strata which is usually a very small fraction of the number of strata available when combining all possible classes from any of the covariates.

    Release date: 2008-12-23

  • Surveys and statistical programs – Documentation: 15-206-X2008017
    Description:

    This paper provides an overview of the productivity program at Statistics Canada and a brief description of Canada's productivity performance. The paper defines productivity and the various measures that are used to investigate different aspects of productivity growth. It describes the difference between partial productivity measures (such as labour productivity) and a more complete measure (multifactor productivity) and the advantages and disadvantages of each. The paper explains why productivity is important. It outlines how productivity growth fits into the growth accounting framework and how this framework is used to examine the various sources of economic growth. The paper briefly discusses the challenges that face statisticians in measuring productivity growth. It also provides an overview of Canada's long-term productivity performance and compares Canada to the United States - both in terms of productivity levels and productivity growth rates.

    Release date: 2008-02-25

  • Notices and consultations: 11-015-X
    Description:

    This newsletter is a brief description of projects within the Business and Labour Market Analysis Division of Statistics Canada. The research covers a wide range of topics including labour market issues, low income, immigration, business firm dynamics, pensions, productivity, technology and innovation, as well as economic geography.

    Release date: 2007-09-14

  • Surveys and statistical programs – Documentation: 11F0024M
    Description:

    This product contains presentations done at Statistics Canada's annual Economic Conference which provides a forum for the exchange of empirical research among the business, government, research and labour communities. The conference is also a means to promote economic and socio-economic analysis while subjecting existing data to critical assessment as part of an ongoing process of statistical development and review.

    Release date: 2005-10-20

  • Surveys and statistical programs – Documentation: 96-328-M2004012
    Geography: Geographical region of Canada
    Description:

    This activity is designed to show students some of the changes affecting Prairie agriculture over the past 100 years, and how Prairie farmers have adapted to them.

    Release date: 2004-08-30

  • Surveys and statistical programs – Documentation: 11-522-X20010016229
    Description:

    This paper discusses the approach that Statistics Canada has taken to improve the quality of annual business surveys through their integration in the Unified Enterprise Survey (UES). The primary objective of the UES is to measure the final annual sales of goods and services accurately by province, in sufficient detail and in a timely manner.

    This paper describes the methodological approaches that the UES has used to improve financial and commodity data quality in four broad areas. These include improved coherence of the data collected from different levels of the enterprise, better coverage of industries, better depth of information (in the sense of more content detail and estimates for more detailed domains) and better consistency of the concepts and methods across industries.

    The approach, in achieving quality, has been to (a) establish a base measure of the quality of the business survey program prior to the UES, (b) measure the annual data quality of the UES, and (c) carry out specific studies to better understand the quality of UES data and methods.

    Release date: 2002-09-12

  • Surveys and statistical programs – Documentation: 68F0015X
    Description:

    The purpose of this paper is to provide some general background and describe the methodology of the pilot year Unified Enterprise Survey (UES). It also illustrates the role of the Unified Enterprise Survey Program (UESP) within The Project to Improve Provincial Economic Statistics (PIPES) program. This information package is targeted toward external clients, for example the Provincial Focal Points, enabling them to assess future data releases planned by industry sector. The scope of this information package will be expanded as subsequent data releases over the next six months or so provide more industry specific details for the seven new pilot industries included in the 1997 UES. This document is approximately twenty-two pages in length and is to be offered at no charge to callers requesting information on the UES.

    Release date: 1999-09-01

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