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All (26,571) (0 to 10 of 26,571 results)

  • 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: 2026-06-17

  • Articles and reports: 75-006-X202600100007
    Description: Using data from the Canadian Survey on Working Conditions, this article provides a profile of workers aged 15 to 69 who used artificial intelligence (AI) and automation technologies at work during the previous year. The article focuses on generative AI which refers to tools trained on large datasets that are used to create new content and to support tasks such as answering questions and problem-solving. Examples of Generative AI tools include ChatGPT and Google Gemini.
    Release date: 2026-06-17

  • Articles and reports: 82-003-X202600600001
    Description: The Canadian Active Living Environments (Can-ALE) project was developed in 2019 to provide a standardized, pan-Canadian indicator of how supportive neighbourhood built environments are for physical activity and active transportation, enabling comparisons across places and over time. Can-ALE 1.0 produced measures for the 2006 and 2016 census years, but it did not include 2011 or 2021. As well, the data and processing steps were not packaged in a fully reproducible format, limiting longitudinal analyses and replication. In this study, the original measure was replicated and extended by developing Can-ALE 2.0, an open-source, reproducible R-based workflow to generate Can-ALE metrics for the 2011, 2016, and 2021 census years.
    Release date: 2026-06-17

  • Articles and reports: 82-003-X202600600002
    Description: The COVID-19 pandemic expanded virtual care through telephone, video, and digital communication, with usage patterns varying by patients’ sociodemographic and health characteristics. Continued virtual care use after the pandemic highlights the need for updated information on modality choice and patient satisfaction. This study used data from the 2023 Canadian Social Survey – Quality of Life, Virtual Health Care and Trust, to estimate the distribution of virtual care modes by provider type, positive and negative aspects of patients’ last virtual appointment, and satisfaction levels.
    Release date: 2026-06-17

  • Table: 17-10-0009-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: Estimated number of persons by quarter of a year and by year, Canada, provinces and territories.
    Release date: 2026-06-17

  • Table: 17-10-0020-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: Components of interprovincial migratory increase, quarterly: in- and out- interprovincial migrants./Subjects modified by client request - ME 37/2019
    Release date: 2026-06-17

  • Table: 17-10-0040-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: Components of international migratory increase, quarterly: immigrants, emigrants, returning emigrants, net temporary emigrants, net non-permanent residents.
    Release date: 2026-06-17

  • Table: 17-10-0045-01
    Geography: Province or territory
    Frequency: Quarterly
    Description: Quarterly number of interprovincial migrants by province of origin and destination, Canada, provinces and territories.
    Release date: 2026-06-17

  • Table: 17-10-0059-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: Components of natural increase, quarterly: births and deaths.
    Release date: 2026-06-17

  • Table: 17-10-0121-01
    Geography: Canada, Province or territory
    Frequency: Quarterly
    Description: This table provides quarterly estimates of the number of non-permanent residents by type for Canada, provinces and territories.
    Release date: 2026-06-17
Data (13,287)

Data (13,287) (20 to 30 of 13,287 results)

Analysis (10,783)

Analysis (10,783) (10,650 to 10,660 of 10,783 results)

  • Articles and reports: 12-001-X198500114365
    Description:

    The cost-variance optimization of the design of the Canadian Labour Force Survey was carried out in two steps. First, the sample designs were optimized for each of the two major area types, the Self-Representing (SR) and the Non-Self-Representing (NSR) areas. Cost models were developed and parameters estimated from a detailed field study and by simulation, while variances were estimated using data from the Census of Population. The scope of the optimization included the allocation of sample to the two stages in the SR design, and the consideration of two alternatives to the old design in NSR areas. The second stage of optimization was the allocation of sample to SR and NSR areas.

    Release date: 1985-06-14

  • Articles and reports: 12-001-X198500114366
    Description:

    This study is mainly concerned with an evaluation of the forecasting performance of a set of the most often applied ARIMA models. These models were fitted to a sample of two hundred seasonal time series chosen from eleven sectors of the Canadian economy. The performance of the models was judged according to eight variable criteria, namely: average forecast error for the last three years, the chi-square statistic for the randomness of the residuals, the presence of small parameters, overdifferencing, underdifferencing, correlation between the parameters, stationarity and invertibility. Overall and conditional rankings of the models are obtained and graphs are presented.

    Release date: 1985-06-14

  • Articles and reports: 12-001-X198500114367
    Description:

    The synthetic estimator (SYN) has been traditionally used to estimate characteristics of small domains. Although it has the advantage of a small variance, it can be seriously biased in some small domains which depart in structure from the overall domains. Särndal (1981) introduced the regression estimator (REG) in the context of domain estimation. This estimator is nearly unbiased, however, it has two drawbacks; (i) its variance can be considerable in some small domains and (ii) it can take on negative values in situations that do not allow such values.

    In this paper, we report on a compromise estimator which strikes a balance between the two estimators SYN and REG. This estimator, called the modified regression estimator (MRE), has the advantage of a considerably reduced variance compared to the REG estimator and has a smaller Mean Squared Error than the SYN estimator in domains where the latter is badly biased. The MRE estimator eliminates the drawback with negative values mentioned above. These results are supported by a Monte Carlo study involving 500 samples.

    Release date: 1985-06-14

  • Articles and reports: 12-001-X198500114371
    Description:

    This paper presents an overview of the methodology used in the processing of the 1981 Census of Agriculture data. The edit and imputation techniques are stressed, with emphasis on the multivariate search algorithm. A brief evaluation of the system’s performance is given.

    Release date: 1985-06-14

  • Articles and reports: 12-001-X198400214353
    Description:

    Following each decennial population census, the Canadian Labour Force Survey (CLFS) has undergone a sample redesign to reflect changes in population characteristics and to respond to changes in information needs. The current redesign program which culminated with introduction of a new sample at the beginning of 1985 included extensive research into improved sample design, data collection and estimation methodologies, highlights of which are described.

    Release date: 1984-12-14

  • Articles and reports: 12-001-X198400214354
    Description:

    Goodness of fit tests, tests for independence in a two-way contingency table, log-linear models and logistic regression models are investigated in the context of samples which are obtained from complex survey designs. Suggested approximations to the null distributions are reviewed and some examples from the Canada Health Survey and Canadian Labour Force Survey are given. Software implementation for using these methods is briefly discussed.

    Release date: 1984-12-14

  • Articles and reports: 12-001-X198400214355
    Description:

    This paper presents a moving average which estimates the trend-cycle while eliminating seasonality from semi-annual series (observed twice yearly). The proposed average retains the power of all cycles which last three years or more; 90% of those of two years; and 55% of cycles of one year and a half. By comparison, the two by two moving average retains the power of respectively 75%, 50% and 25% of the same cycles.

    Release date: 1984-12-14

  • Articles and reports: 12-001-X198400214356
    Description:

    This paper discusses the use of matching between files of comparable data in the evaluation of non-sampling error. As an example of the technique, the data quality evaluation of the 1981 Canadian Census of Agriculture is described and some results presented.

    Release date: 1984-12-14

  • Articles and reports: 12-001-X198400214357
    Description:

    A finite population of size N is supposed to contain M (unknown) units of a specified category A (say) constituting a domain with mean \mu. A procedure which involves drawing units using simple random sampling without replacement till a preassigned number of members of the domain is reached is proposed. An unbiased estimator of \mu is also derived. This is seen to be superior to the corresponding possibly biased estimator based on a comparable SRSWOR scheme with a fixed number of draws. The proposed scheme is also shown to admit unbiased estimators of M and the domain total T.

    Release date: 1984-12-14

  • Articles and reports: 12-001-X198400214358
    Description:

    In response to a need for data on disabled persons in Canada, Statistics Canada undertook a program to create a disability database. This includes using supplements to the Canadian Labour Force Survey in the Fall of 1983 and the Spring of 1984, as well as including questions on the 1986 Census of Population. A general discussion of the background and content of the survey is presented. A comparison of screening methodologies conducted by Statistics Canada in November 1982 and January 1983 is presented and the results are compared.

    Release date: 1984-12-14
Reference (2,029)

Reference (2,029) (40 to 50 of 2,029 results)

  • Surveys and statistical programs – Documentation: 98-20-0005
    Description: This series of reports provides an in-depth look at changes in content for the 2026 Census of Population questionnaire as well as detailed information on the design and methodology of the content test component of the 2024 Census Test. The reports explain the conceptual frameworks and definitions used and outline the related findings from the 2024 Census Test on sexual orientation, homelessness and general health.
    Release date: 2025-07-04

  • 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

  • Surveys and statistical programs – Documentation: 98-20-00042026002
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: languages and language of instruction. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026003
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: ethnic or cultural origins, religion, immigration, citizenship and place of birth. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026004
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the questions about Indigenous Peoples. The tested changes for each question are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026005
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: income and expenditures, and housing and homelessness. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026006
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the following topics: labour market activities, commuting and education. The tested changes for each topic are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026007
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the question on Canadian military experience. The tested changes are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026008
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the questions on place of residence 1 year and 5 years ago (i.e., mobility). The tested changes are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04

  • Surveys and statistical programs – Documentation: 98-20-00042026009
    Description: This fact sheet offers a summary of content changes for the 2026 Census specific to the questions on activities of daily living. The tested changes are explained, along with the resulting approach for 2026.
    Release date: 2025-07-04