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  • Table: 36-10-0448-01
    Geography: Canada
    Frequency: Quarterly
    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.
    Release date: 2026-06-12

  • Table: 36-10-0467-01
    Geography: Canada
    Frequency: Quarterly
    Description:

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

    Release date: 2026-06-12

  • Table: 36-10-0578-01
    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: 2026-06-12

  • Table: 36-10-0579-01
    Geography: Canada
    Frequency: Quarterly
    Description:

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

    Release date: 2026-06-12

  • Table: 36-10-0580-01
    Geography: Canada
    Frequency: Quarterly
    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.
    Release date: 2026-06-12

  • Table: 36-10-0608-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Infrastructure is the physical structures and systems that support the production of goods and services and their delivery to and consumption by governments, businesses and citizens. The industry undertaking that infrastructure investment is also presented. Accumulating investment flows over time produces an estimate of the stock of infrastructure assets. The perpetual inventory method is used as it estimates a value of the net stock of fixed assets in existence and in the hands of producers which is generally based on estimating how many of the fixed assets installed, as a result of investment undertaken in previous years, have survived to the current period. The depreciation of that stock is calculated using the geometric method with asset specific depreciation profiles.
    Release date: 2026-06-12

  • Table: 36-10-0610-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: The economic contribution as a result of the production of infrastructure assets due to investment is presented for valued added (GDP), compensation of employees and number of jobs. Value-added is a key measure of economic performance. It represents the output of an industry minus the value of intermediate inputs that were used up in the production of the goods and services. Within the Infrastructure Economic Accounts, this is the value added due to an industry's production of infrastructure assets. The number of jobs represents the number of jobs held by the self-employed, employees and unpaid family workers. The compensation of employees represents the wages and salaries, and supplementary labour income due to labour inputs for the production of infrastructure assets.
    Release date: 2026-06-12

  • Table: 36-10-0611-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: The average age of investment is the weighted age of all investments remaining in the gross stock at year end. The remaining useful life, which is the difference between the average age of the investment spending and their expected service life, is then divided by the expected service life, creating a ratio that indicates the percentage of the asset class that remains.
    Release date: 2026-06-12

  • Table: 36-10-0655-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Expansion of the Infrastructure Economic Accounts focusing on the environmental aspect to aid in understanding the relationship between investment in infrastructure and the environment. Main indicators include greenhouse gas emissions as a result of production of infrastructure assets, greenhouse gas emissions per value-added, and clean input proportion.
    Release date: 2026-06-12

  • Table: 36-10-0668-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    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).

    Release date: 2026-06-12
Analysis (10,777)

Analysis (10,777) (10,770 to 10,780 of 10,777 results)

  • Articles and reports: 12-001-X197500100003
    Description: In order to monitor changes in expenditure patterns and, if necessary, provide information for a reweighting of the Consumer Price Index, family expenditure surveys have been carried out at approximately two year intervals since 1953.

    While all of the Family Expenditure Surveys have utilized the Canadian Labour Force Survey [1] frame, the particular survey in 1974 was designed somewhat differently from earlier surveys in that segments or city blocks were specially selected for the survey and there was strict control on the sample size not adhered to in earlier surveys.

    The sample design, from the considerations based on the broad requirements of the survey to the details of the sampling procedures, is described in this article.
    Release date: 1975-06-16

  • Articles and reports: 12-001-X197500100004
    Description: A major concern in large scale surveys is the problem of sub-population estimation (domain estimation). This paper presents a study of four estimators for estimating domain totals. The domain considered in the study is an area type of domain, that is, a domain consisting of a combination of a certain number of area units belonging to different strata. This paper uses some actual data and some fictitious data to compare variances and mean square errors of the four estimators.
    Release date: 1975-06-16

  • Articles and reports: 12-001-X197500100005
    Description: Binomial factors (sometimes called design effects) can be used to assess the quality and performance, with respect to sampling variability of survey estimates, of a sample design and estimation procedure relative to assumed simple random sample designs. In this paper four types of binomial factors have been defined and calculated for the monthly Canadian Labour Force Survey. Some results from the analysis of these factors are presented in this paper.
    Release date: 1975-06-16

  • Articles and reports: 12-001-X197500100006
    Description: This paper summarizes the results of a project conducted to study non-interviews in the Canadian Labour Force Survey. Temporarily absent (32.7%), no-one-home (31.4%), and refusal (25.5%) are the major components of non-response. The impact of these components to the total non-response in Surveys from July 1972 to June 1973 is discussed in detail.

    A detailed analysis of refusal households showed that existing field follow-up procedures were not quite successful in reducing the refusal component. As expected, non-response was found to be related to the length of tenure of households in the sample. Non-response among households enumerated for the first time was generally higher than those households already in the sample.
    Release date: 1975-06-16

  • Articles and reports: 12-001-X197500100007
    Description: There are several multi-stage sample designs in various countries, such as the Current Population Survey in U.S.A., Labour Survey in Sweden, and the General Household Survey in United Kingdom. From each survey, estimated totals of Employed, Unemployed, and other characteristics may be obtained.

    The Canadian Labour Force Survey is a monthly household survey in which the dwelling is the ultimate unit of sampling requiring two to four stages of selection. Each province is split up into strata and sampling units at various stages so that the sampling variance contains up to four components of variance whose actual formulae and estimation formulae are derived, utilizing those formerly derived by Yates and Grundy [12]. Ratio estimation is employed and the formulas are modified accordingly. To analyze the components of variance, it is necessary to express them in terms of components of sampling ratios and the sizes of sampling units at the various stages at provincial and national levels and approximate variance functions are thus derived.
    Release date: 1975-06-16

  • Articles and reports: 12-001-X197500100008
    Description: The need for regular up-dating of the selection probabilities in continuous surveys is emphasized in this paper. A simple strategy (selection method for the initial sample with the revision procedure) is presented and its application to the Canadian Labour Force Survey is discussed.
    Release date: 1975-06-16

  • Articles and reports: 12-001-X197500100009
    Description: This paper discusses several reinterview techniques and their use in relation to Response Variance, Response Bias, Interviewer Training, and the monitoring of various elements of the interview process. Using the Canadian Labour Force Survey as a case study the article describes how reinterview techniques were developed as the survey evolved and briefly describes the strategy being followed in the present reinterview program.
    Release date: 1975-06-16
Reference (2,029)

Reference (2,029) (30 to 40 of 2,029 results)

  • Surveys and statistical programs – Documentation: 81-582-G
    Description: This handbook complements the tables of the Pan-Canadian Education Indicators Program (PCEIP). It is a guide that provides general descriptions for each indicator and indicator component. PCEIP has five broad indicator sets: a portrait of the school-age population; financing education systems; elementary and secondary education; postsecondary education; and transitions and outcomes.

    The Pan-Canadian Education Indicators Program (PCEIP) is a joint venture of Statistics Canada and the Council of Ministers of Education, Canada.

    Release date: 2025-10-24

  • Surveys and statistical programs – Documentation: 62F0014M2025006
    Description: This technical guide describes the methodological details for the Architectural, Engineering and Related Services Price Index (AESPI) from 2024 onward. The document includes information about the purpose of the index, data sources, and index estimation and aggregation.
    Release date: 2025-10-24

  • Surveys and statistical programs – Documentation: 62F0014M2025007
    Description: This technical guide describes the methodological details for the Accounting Services Price Index (ASPI) from 2024 onward. The document includes information about the purpose of the index, data sources, and index estimation and aggregation.
    Release date: 2025-10-24

  • Surveys and statistical programs – Documentation: 13-605-X202500100003
    Description: This reference guide presents information to enhance an understanding of Canadian International Merchandise Trade statistics. It provides essential definitions, describes key concepts and methodology, and outlines data processes. An overview of the published data, including descriptions of product, industry, and geographical classifications, is provided along with links to the products where these data are available.
    Release date: 2025-08-29

  • Surveys and statistical programs – Documentation: 98-20-00032021041
    Description: 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 data table components, table displays, and metadata.
    Release date: 2025-07-30

  • Surveys and statistical programs – Documentation: 98-20-00032021043
    Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. The purpose of this video is to show you how to customize a census table to meet your data needs.
    Release date: 2025-07-30

  • Surveys and statistical programs – Documentation: 98-20-0003
    Description: Once every five years, the Census of Population provides a detailed and comprehensive statistical portrait of Canada that is vital to our country. It is the primary source of sociodemographic data for specific population groups such as lone-parent families, Indigenous peoples, immigrants, seniors and language groups.

    In order to help users of census products to better understand the various Census of Population concepts, Statistics Canada has developed, in the context of the activities of the 2021 Census and previous censuses, a collection of short videos. These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge.

    Release date: 2025-07-30

  • Surveys and statistical programs – Documentation: 72-212-X
    Description: Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2025-07-18

  • Surveys and statistical programs – Documentation: 72-212-X2025001
    Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2025-07-18

  • Surveys and statistical programs – Documentation: 98-20-00042026001
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: date of birth (age), sex at birth and gender, relationship to Person 1, and marital status. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04