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  • Table: 23-10-0259-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly civil aviation operating statistics (passengers, goods carried (kilograms), passenger-kilometres, passenger tonne-kilometres, goods tonne-kilometres, total tonne-kilometres, hours flown) by sector (total domestic and international, domestic, international, transborder (Canada - United States) and other international). Data are for Canadian air carriers, Levels I and II combined. All data are expressed in thousands.

    Release date: 2024-11-14

  • Table: 23-10-0260-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly civil aviation financial statistics (total, operating revenue for scheduled and charter services both separately and combined, passenger revenue and goods revenue for both scheduled and charter services, all other operating revenue, total, operating expenses, turbo fuel expenses, wages, salaries and benefits paid, all other operating expenses, net income (loss), operating income (loss), non-operating income (loss) and average number of employees. Data are for Canadian air carriers, Levels I and II combined. All data are expressed in thousands of dollars, except for the average number of employees, which is expressed in full.

    Release date: 2024-11-14

  • Table: 23-10-0261-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly civil aviation financial performance indicators (operating ratio, operating profit margin and profit margin), for Canadian air carriers, Levels I and II combined. The operating profit margin and profit margin are expressed in percent.

    Release date: 2024-11-14

  • Table: 23-10-0262-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly civil aviation productivity measures (operating revenue per employee and tonne-kilometres flown per employee), for Canadian air carriers, Levels I and II combined. The operating revenue per employee is expressed in dollars.

    Release date: 2024-11-14

  • Table: 13-10-0768-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description: This table provides Canadians and researchers with provisional data to monitor weekly death trends by age and sex in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.
    Release date: 2024-11-14

  • Table: 13-10-0783-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description:

    This table provides Canadians and researchers with provisional data to monitor weekly death trends in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

    Release date: 2024-11-14

  • Table: 13-10-0810-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description:

    This table provides Canadians and researchers with provisional data to monitor weekly death trends by selected grouped causes of death in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, these data are considered provisional. Data in this table will be available by province and territory.

    Release date: 2024-11-14

  • Table: 13-10-0879-01
    Geography: Canada, Province or territory
    Frequency: Weekly
    Description: The table displays weekly age standardized mortality rates for every province in Canada (excluding territories), by sex, since 2019. The standardization is done using the 2011 Canadian population.
    Release date: 2024-11-14

  • Table: 34-10-0166-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description:

    This table contains 42560 series, with data for years 2009 - 2014 (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; ...); Price (2 items: Original prices; Current prices); Age (2 items: Average age; Remaining useful service life ratio); Industry (20 items: Total all industries; Agriculture, forestry, fishing and hunting; Mining, quarrying and oil and gas extraction; Utilities; ...); Assets (38 items: Total non-residential; Building; Industrial buildings; Office buildings; ...).

    Release date: 2024-11-14

  • Table: 36-10-0013-01
    Geography: Canada
    Frequency: Annual
    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 multipliers show the direct, indirect, and induced effects on output, the detailed components of gross domestic product (GDP), jobs, and imports at the Summary level.

    Release date: 2024-11-14
Data (12,186)

Data (12,186) (0 to 10 of 12,186 results)

Analysis (10,093)

Analysis (10,093) (9,980 to 9,990 of 10,093 results)

  • Articles and reports: 12-001-X198600114439
    Description:

    Multiple imputation is a technique for handling survey nonresponse that replaces each missing value created by nonresponse by a vector of possible values that reflect uncertainty about which values to impute. A simple example and brief overview of the underlying theory are used to introduce the general procedure.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114440
    Description:

    Statistics Canada has undertaken a project to develop a generalized edit and imputation system, the intent of which is to meet the processing requirements of most of its surveys. The various approaches to imputation for item non-response, which have been proposed, will be discussed. Important issues related to the implementation of these proposals into a generalized setting will also be addressed.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114441
    Description:

    The analysis of survey data becomes difficult in the presence of incomplete responses. By the use of the maximum likelihood method, estimators for the parameters of interest and test statistics can be generated. In this paper the maximum likelihood estimators are given for the case where the data is considered missing at random. A method for imputing the missing values is considered along with the problem of estimating the change points in the mean. Possible extensions of the results to structured covariances and to non-randomly incomplete data are also proposed.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114442
    Description:

    For periodic business surveys which are conducted on a monthly, quarterly or annual basis, the data for responding units must be edited and the data for non-responding units must be imputed. This paper reports on methods which can be used for editing and imputing data. The editing is comprised of consistency and statistical edits. The imputation is done for both total non-response and partial non-response.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114443
    Description:

    When the technique of adjustment using weighting classes is applied to compensate for the effect of non-response, several questions arise that call for precise and quantified answers: How does the choice of the variables used for definition of the classes affect total root-mean-square error, in particular non-response bias and sampling variance? What rule and what procedure should be followed in choosing the adjustment variables? On the basis of what criterion can the optimal sizes for the weighting classes be established? Finally, when this procedure is applied to compensate for non-response with respect to specific elements of a questionnaire, how can strongly correlated ancillary variables be used effectively when they themselves are affected by non-response? This article is addressed to those professionals working at a practical level who are seeking guidelines.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198600114444
    Description:

    A new processing system using the nearest neighbour (N-N) imputation method is being implemented for the National Farm Survey (NFS). An empirical study was conducted to determine if the NFS estimates would be affected by using imputation groups based on type of farm. For the specific imputation rule examined, the study showed evidence that the effect might be small.

    Release date: 1986-06-16

  • Articles and reports: 12-001-X198500214372
    Description:

    The use of a multivariate clustering algorithm to perform stratification for the Labour Force Survey is described. The algorithm developed by Friedman and Rubin (1967) is modified to allow the formation of geographically contiguous strata and to delineate heterogeneous but compact primary sampling units (PSUs) within these strata. Studies dealing with stratification variables, stratification robustness over time, and type of stratification are described.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214373
    Description:

    In the first part of the paper a review of the historical literature concerning microfilmed manuscript census records is given. Several types of sampling designs have been used ranging in complexity from cluster and stratified random sampling to stratified two-stage cluster sampling. In the second part, a method is given to create a public use sample tape of the 1881 Census of Canada. This work was part of a pilot project for Public Archives of Canada and was carried out by the Social Science Computing Laboratory of the University of Western Ontario. The pilot project was designed to determine the merit and technical and economic feasibility of developing machine readable products from microfilm copies of the 1881 Census of Canada.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214374
    Description:

    In this paper estimation of multiple characters in multiple frame surveys has been investigated. The gain due to two character study in a common survey, over separate surveys for individual characters, has been obtained. Cost comparison is also made between two character multi frame survey and two character single frame survey.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214375
    Description:

    This paper analyzes the revisions of eight seasonally adjusted labour force series during recession and non-recession periods. The four seasonal adjustment methods applied are X-11 and X-11-ARIMA using either concurrent or forecast seasonal factors. The series are seasonally adjusted with these four methodologies according to both a multiplicative and an additive decomposition model. The results indicate that the X-11-ARIMA concurrent adjustment yields the smallest revisions both during recession and non-recession periods regardless of the decomposition model used.

    Release date: 1985-12-16
Reference (1,937)

Reference (1,937) (1,890 to 1,900 of 1,937 results)

  • Surveys and statistical programs – Documentation: 5387
    Description: The Survey on Accessible Print Materials gathers (SAPM) information from Canadians who require printed works in alternate formats. The survey aims to understand their requirements for and use of these formats, and the barriers they encounter in obtaining them. Printed works can include books, newspapers, magazines and other reading materials that a person may read for leisure, education or work.

  • Surveys and statistical programs – Documentation: 5389

  • Surveys and statistical programs – Documentation: 5391
    Description: This survey covers topics such as the use of and access to primary health care and specialist care, care coordination, barriers to care, prescription medications, and out-of-pocket expenses. The results may be used by Health Canada, the Public Health Agency of Canada, and provincial ministries of health to help inform the delivery of health care services and develop and improve programs and policies to better serve all Canadians.

  • Surveys and statistical programs – Documentation: 5392
    Description: This document accompanies the inaugural introductory release of the GSCD and presents the conceptual structure of the railway movement, the data and computation methods, and current limitations.

  • Surveys and statistical programs – Documentation: 5393
    Description: The survey on Research Activities and Commercialization of Intellectual Property in Higher Education collects information on how research conducted and produced in the higher education sector is transferred to the private sector.

  • Surveys and statistical programs – Documentation: 5394

  • Surveys and statistical programs – Documentation: 5397
    Description: Statistics Canada is conducting the Survey of Oral Health Care Providers (SOHCP). This survey collects information on the financial and operational characteristics of oral health care providers in Canada. The questions focus on operating revenue and expenses, billing policies, staffing and vacancies, services offered, patient capacity, and operational challenges. Survey results will help assess the current state of the oral health care system in Canada while providing insight into the changes that could impact this sector, including implementation of the Canadian Dental Care Plan. These data are crucial in helping governments devise policies that support access to dental care, improve oral health outcomes for Canadians, and provide an effective work environment for oral health care workers.

  • Surveys and statistical programs – Documentation: 5399

  • Surveys and statistical programs – Documentation: 5401
    Description: Every new month of data leads to a revision of the previously released data due to such factors as the seasonal adjustment process and a new version of the Generic Survey Universe File (or vintage of the Business Register). As such, the estimates may vary compared with a previous release.
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