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Survey or statistical program

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  • 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) (20 to 30 of 13,283 results)

Analysis (10,766)

Analysis (10,766) (10,700 to 10,710 of 10,766 results)

  • Articles and reports: 12-001-X197900254832
    Description:

    A Hot Deck imputation procedure is defined to be one where an incomplete response is completed by using values from one or more other records on the same file and the choice of these records varies with the record requiring imputation.

    General approaches to Hot Deck imputation are outlined, with emphasis on the interaction between the edit constraints and the imputation procedures. Distance functions can be constructed on a mixture of categorical and numeric fields, can be modified to take account of the relative importance of fields and can discriminate against less desirable donors. Matching fields may be correlated with missing fields, may be linked with missing fields by edits or may be natural stratification variables; but increasing the number of matching fields does not necessarily result in a better match. It is important to audit the imputation process and to summarize its performance.

    Hot Deck procedures should be evaluated to study the bias and reliability of the estimates, donor usage and frequency of imputation failure in terms of a variety of conditions of the data and variations of the imputation procedure. It appears that the only generally available approach to evaluation is by simulation.

    Release date: 1979-12-14

  • Articles and reports: 12-001-X197900254833
    Description:

    This paper looks at the current state of development of social statistics in Canada. Some key concepts related to statistics and social information are defined and discussed. The availability and analysis of administrative data is highlighted, along with the need for social surveys. Suggestions are made about the types of data analysis needed for the development of social decision models to meet policy requirements. Finally, an outline of priorities for future work toward the effective use of social statistics is given.

    Release date: 1979-12-14

  • Articles and reports: 12-001-X197900100001
    Description: This paper discusses the management of information within the context of the information industry and indicates some likely future trends related thereto. The information industry itself is first briefly described. Then the process used in producing information, the organizational structure required for such production, and the legislation relating to the information industry are discussed in turn. Finally, some approaches to solving the problems of the future are suggested.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100002
    Description: This paper includes a description of interviewer techniques and procedures used to minimize non-response, an outline of methods used to monitor and control non-response, and a discussion of how non-respondents are treated in the data processing and estimation stages of the Canadian Labour Force Survey. Recent non-response rates as well as data on the characteristics of non-respondents are also given. It is concluded that a yearly non-response rate of approximately 5 percent is probably the best that can be achieved in the Labour Force Survey.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100003
    Description: Two methods for estimating the correlated response variance of a survey estimator are studied by way of both theoretical comparison and empirical investigation. The variance of these estimators is discussed and the effects of outliers examined. Finally, an improved estimator is developed and evaluated.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100004
    Description: Let U = {1, 2, …, i, …, N} be a finite population of N identifiable units. A known “size measure” x_i is associated with unit i; i = 1, 2, ..., N. A sampling procedure for selecting a sample of size n (2 < n < N) with probability proportional to size (PPS) and without replacement (WOR) from the population is proposed. With this method, the inclusion probability is proportional to size (IPPS) for each unit in the population.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100005
    Description: Approximate cutoff rules for stratifying a population into a take-all and take-some universe have been given by Dalenius (1950) and Glasser (1962). They expressed the cutoff value (that value which delineates the boundary of the take-all and take-some) as a function of the mean, the sampling weight and the population variance. Their cutoff values were derived on the assumption that a single random sample of size n was to be drawn without replacement from the population of size N.

    In the present context, exact and approximate cutoff rules have been worked out for a similar situation. Rather than providing the sample size of the sample, the precision (coefficient of variation) is given. Note that in many sampling situations, the sampler is given a set of objectives in terms of reliability and not sample size. The result is particularly useful for determining the take-all - take-some boundary for samples drawn from a known population. The procedure is also extended to ratio estimation.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197900100006
    Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.
    Release date: 1979-06-15

  • Articles and reports: 12-001-X197800254832
    Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.
    Release date: 1978-12-15

  • Articles and reports: 12-001-X197800254833
    Description: Owners of small businesses complain about the quantity of forms they are required to collectors of statistics. Administrative data are an alternative source but do not usually include all the information required by the survey takers.

    The “Tax Data Imputation System” makes use of tax data collected from a large number of businesses by Revenue Canada and data obtained by sample survey for a small subset of these businesses. Survey data is imputed (estimated) for all the businesses not actually surveyed using a “hot-deck” technique, with adjustments made to ensure certain edit rules are satisfied. The results of a simulation study suggest that this procedure has reasonable statistical properties. Estimators (of means or totals) are unbiased with variances of comparable size to the corresponding ratio estimators.
    Release date: 1978-12-15
Reference (2,027)

Reference (2,027) (2,010 to 2,020 of 2,027 results)

  • Surveys and statistical programs – Documentation: 7519
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7520
    Description: This is not Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7522
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7524
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7525
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7526
    Description: This is non-Statistics Canada information.

  • Surveys and statistical programs – Documentation: 7527
    Description: This is not a survey. The Business Integrated Databse (BID) is a joint Industry Canada and Statistics Canada project.

  • Surveys and statistical programs – Documentation: 7528
    Description: This is not a survey. The DLI Collection contains geography files from 1971 - 2006.

  • Surveys and statistical programs – Documentation: 7529
    Description: The area, production and value data for the Mexican potato crop in this table are provided by the Servicio de Información Agroalimentaria y Pesquera. For further details, please refer to: Servicio de Información Agroalimentaria y Pesquera Av. Benjamin Franklin 146, Col Escandón Delegación Miquel Hidalgo C.P. 11800 México, D.F. E-mail: aclaradatos@siap.gob.mx Telephone: (01552) 55 3871-8500 ext 120-173 Websites: http://www.siap.gob.mx or http://www.siap.sagarpa.gob.mx

  • Surveys and statistical programs – Documentation: 7530
    Description: This is non-Statistics Canada information.