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  • 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

  • Articles and reports: 12-001-X198500214376
    Description:

    This study purports to assess whether there are temporal relationships between Unemployment Insurance Beneficiaries, Total Unemployment, Job Losers and Job Leavers in Canada using univariate and multivariate time series methods. The results indicate that during 1975-82 the Unemployment Insurance Beneficiaries series leads: (1) Total Unemployment by one month and (2) Job Leavers by two months. On the other hand, there are evidence of a feedback relationship between Unemployment Insurance Beneficiaries and Job Losers.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214377
    Description:

    Thirty basic principles of questionnaire design are presented covering the content, wording, format, and testing of questionnaires. The extent to which the questionnaire is an integral part of the survey is emphasized as is consideration of its relationship with other aspects of survey design.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214378
    Description:

    Twelve administrative data files are reviewed to determine if some of them could be used to derive migration data, in case the universality of the currently used family allowance files be limited, as a result of federal legislation.

    It is found that none of the twelve files have strengths and weaknesses strictly comparable to those of the family allowance files. Further developments of the Health Care, and to a lesser extent the Old Age Security files are highly recommended.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214379
    Description:

    In Canada, provincial and federal demographers have attempted to use various sets of administrative data to estimate migration flows. This paper presents the development of intra-provincial migration estimates using driver’s licence data in Ontario. An evaluation of these migration estimates has been carried out by comparing with those derived from the income tax data by Statistics Canada. Both files provide equally good and complimentary estimates of intra-provincial migration.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214380
    Description:

    This paper examines the use of administrative files from Alberta’s Health Care Insurance Plans combined with Vital Statistics data as inputs for estimating population. Results, which are presented and compared with Census data, indicate that Health Care data can be used to produce accurate population estimates at the provincial level and for smaller areas such as census divisions and municipalities.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214400
    Description:

    The accuracy of small area population estimates derived from a regression based model is heavily dependent on the ability of the indicator data selected to accurately reflect population change. Hence, prior knowledge as to the characteristics of the administrative data used as potential population indicators in a regression model is important. This report summarizes the strengths and weaknesses associated with the use of residential hydro accounts in the British Columbia regression based population estimation model.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214401
    Description:

    This paper describes a method of producing current age/sex specific population estimates for small areas utilizing as inputs total population estimates, birth and death data and estimates of historical residual net migration. An evaluation based on the 1981 Census counts for census divisions and school districts in British Columbia is presented.

    Release date: 1985-12-16

  • Articles and reports: 12-001-X198500214402
    Description:

    A methodology has been developed for producing population estimates by single years of age and sex for small areas (census divisions and census metropolitan areas). To assure reliability, the estimates by single years of age are grouped into five years and only these grouped data are recomended for dissemination. They are based on the age-sex composition of population from the last census, births by sex, deaths by single years of age and sex, estimates of migration by age and sex, and counts of family allowance recipients in the age group 1-14 years.

    Release date: 1985-12-16
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