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Survey or statistical program

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All (26,548) (0 to 10 of 26,548 results)

  • Data Visualization: 71-607-X
    Description: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.
    Release date: 2026-05-29

  • Table: 33-10-0036-01
    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: 2026-05-29

  • Table: 34-10-0163-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: This table contains 1812 series, with data for years 2009 – 2018 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; New Brunswick;… ) Prices (3 items: Current prices; 2017 constant prices; Chained (2017) dollars) Sector (4 items: Total all sectors; Business sector; Government sector; Non-profit institutions serving households sector) Flows and stocks (3 items: Investment; Geometric depreciation; Geometric end-year net stock) Assets (7 items: Total assets; Total non-residential; Non-residential buildings; Engineering construction; ...).
    Release date: 2026-05-29

  • Table: 36-10-0103-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly income-based gross domestic product, Canada.
    Release date: 2026-05-29

  • Table: 36-10-0104-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly expenditure-based, gross domestic product, Canada, in chained (2017) and current dollars.
    Release date: 2026-05-29

  • Table: 36-10-0105-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly indexes and contributions to percent change of real gross domestic product, real gross domestic income, terms of trade and other statistics, 2017=100.
    Release date: 2026-05-29

  • Table: 36-10-0106-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly fixed-weighted price and implicit price indexes and contributions to percent change in implicit price indexes for expenditure-based gross domestic product, Canada, 2017 = 100.
    Release date: 2026-05-29

  • Table: 36-10-0107-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly household final consumption expenditure components in chained (2017) and current dollars.
    Release date: 2026-05-29

  • Table: 36-10-0108-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly gross fixed capital formation components in chained (2017), current dollars and contribution to percent change.
    Release date: 2026-05-29

  • Table: 36-10-0109-01
    Geography: Canada
    Frequency: Quarterly
    Description: Quarterly investment in inventories components in chained (2017) and current dollars.
    Release date: 2026-05-29
Data (13,283)

Data (13,283) (60 to 70 of 13,283 results)

Analysis (10,766)

Analysis (10,766) (10,760 to 10,770 of 10,766 results)

  • 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 (2,027)

Reference (2,027) (2,000 to 2,010 of 2,027 results)

  • Surveys and statistical programs – Documentation: 7506
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7507
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7508
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7509
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7510
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7512
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7514
    Description: The data contain monthly and annual financial results of the Government of Canada as reported, respectively, in the Department of Finance's monthly Fiscal Monitor and the annual Public Accounts of Canada.

  • Surveys and statistical programs – Documentation: 7516
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7517
    Description: If you have any questions about these data please contact: Randy Sheldrick Energy Section Manufacturing, Construction and Energy Division Statistics Canada Ottawa, Ontario K1A 0T6 Telephone: (613) 951-4804

  • Surveys and statistical programs – Documentation: 7518
    Description: This is non-Statistics Canada information.