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All (24,327)

All (24,327) (40 to 50 of 24,327 results)

  • Table: 32-10-0121-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Production and disposition of eggs, Canada and provinces (layers unless otherwise noted). Data are available on a monthly basis.
    Release date: 2024-05-30

  • Table: 32-10-0122-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Monthly
    Description: Stocks of frozen poultry meat, Canada and provinces (tonnes). Data are available on a monthly basis.
    Release date: 2024-05-30

  • Table: 32-10-0123-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Monthly
    Description: Stocks of frozen eggs and edible dried eggs, Canada (in tonnes). Data are available on a monthly basis.
    Release date: 2024-05-30

  • Table: 32-10-0133-01
    Geography: Canada
    Frequency: Weekly
    Description: Report of processed eggs production in Canada (in kilograms). Data are available on a weekly basis.
    Release date: 2024-05-30

  • Table: 32-10-0134-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Weekly
    Description: Laying type pullet, chick placements, Canada and provinces (chicks x 1,000). Data are available on a weekly basis.
    Release date: 2024-05-30

  • Table: 32-10-0135-01
    Geography: Canada
    Frequency: Annual
    Description:

    This table contains 16 series, with data for years 2002 - 2016 (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) Egg production (4 items: Total break; Frozen eggs; Liquid eggs; Dried eggs) Estimates (4 items: Total processed egg; Whole egg; Yolk; Albumen).

    Release date: 2024-05-30

  • 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: 2024-05-30

  • Table: 36-10-0002-01
    Geography: Canada
    Frequency: Annual
    Description:

    Canada's international investment income covers direct investment income, portfolio income, and other investment income. Annual data are further broken down between interest, dividends, and reinvested earnings.

    Release date: 2024-05-30

  • Table: 36-10-0003-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Canada's international investment income covers direct investment income, portfolio income, and other investment income. Quarterly data are further broken down between interest, dividends, and reinvested earnings.

    Release date: 2024-05-30

  • Table: 36-10-0014-01
    Geography: Canada
    Frequency: Annual
    Description:

    Canada's current account covers international transactions in goods, services, compensation of employees, investment income and secondary income (current transfers). Canada's capital account covers international capital transfers and transactions in non-produced non-financial assets. Annual data are available for 6 countries/regions and for all countries aggregated.

    Release date: 2024-05-30
Data (12,016)

Data (12,016) (0 to 10 of 12,016 results)

  • Data Visualization: 71-607-X2017003
    Description: This web application provides access to data on the sales of food services and drinking places for Canada, provinces and territories. This dynamic application allows users to compare provincial and territorial data with interactive maps and charts. All data in this release are seasonally adjusted and expressed in current dollars.
    Release date: 2024-05-30

  • Data Visualization: 71-607-X2022008
    Description: The Extractive Sector Transparency Measures Act (ESTMA) Data Portal is a collaboration between Statistics Canada and Natural Resources Canada, which administers the ESTMA. The ESTMA helps the Government of Canada deter corruption in the extractive sector by requiring extractive entities that are active in Canada to publicly disclose, on an annual basis, certain types of payments made to governments in Canada and abroad. The goal of the data portal is to increase the accessibility and utility of the payment information collected under the ESTMA by bringing together all available ESTMA data in one online location, and further enriching the payment data with analytical functions that help users to leverage the complete ESTMA dataset. The database has also been designed with mobility in mind to ensure that users and stakeholders have mobile access to ESTMA data.
    Release date: 2024-05-30

  • Data Visualization: 71-607-X2024008
    Description: This dashboard is designed for users to explore current and historical counts of employer and non-employer businesses by geography, employment size and industry. This web-based application undergoes semi-annual updates.
    Release date: 2024-05-30

  • Data Visualization: 71-607-X2024009
    Description: This dashboard features data from the Canadian Survey on Business Conditions. It is designed for users to explore the obstacles, expectations, and future outlook of businesses in rural and small town areas. This web-based application undergoes quarterly updates.
    Release date: 2024-05-30

  • Data Visualization: 71-607-X2024010
    Description: This dashboard is designed for users to explore data on the number of importing and exporting establishments and the value of imports and exports in goods by industry, in non-census metropolitan areas and census metropolitan areas. This web-based application undergoes annual updates.
    Release date: 2024-05-30

  • Data Visualization: 71-607-X2024011
    Description: This dashboard is designed for users to explore current and historical counts of employment insurance beneficiaries by geography, age group, sex, and beneficiary details. This web-based application undergoes monthly updates.
    Release date: 2024-05-30

  • Data Visualization: 71-607-X2024012
    Description: This dashboard features tables and a map designed for users to explore the number and the size of communities by different definitions of rural, including that of rural and small town (census subdivisions outside census metropolitan areas or census agglomerations) and that of rural areas (non-population centres) according to the Census of Population Program. This web-based application undergoes updates every five years with the census.
    Release date: 2024-05-30

  • Table: 12-10-0157-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly data on international trade in services by principal trading partners.

    Release date: 2024-05-30

  • Table: 32-10-0351-01
    Geography: Canada, Geographical region of Canada, Province or territory
    Frequency: Monthly
    Description: Data on producer deliveries major grains, for Canada and selected provinces.
    Release date: 2024-05-30

  • Table: 32-10-0352-01
    Geography: Canada
    Frequency: Monthly
    Description: Data on the production of the crushing of seed, oil and meal.
    Release date: 2024-05-30
Analysis (9,947)

Analysis (9,947) (9,920 to 9,930 of 9,947 results)

  • Articles and reports: 12-001-X197900254834
    Description: An alternative to the direct selection of sample is suggested, which while retaining the efficiency at the same level simplifies the selection and variance estimation processes in a wide variety of situations. If n* is the largest feasible pPS sample size that can be drawn from a given population of size N, then the proposed method entails selection of m (=N - n*) units using a pPS scheme and rejecting these units from the population such that the remainder is a pPS sample of n* units; the final sample of n units is then selected as a subsample from the remainder set. This method for selecting the pPS sample can be seen as an analogue of SRS where it is well known that the “unsampled” part of the population as well as any subsample from this part are also SRS from the entire population when SRS is the procedure used. The method is very practical for situations where m is less than the actual sample size n. Moreover, the method has the additional advantage in the context of continuing surveys, e.g. Canadian Labour Force Survey (LFS), where the number of primary sampling units (PSU’s) may have to be increased (or decreased) subsequent to the initial selection of the sample. The method also has advantages in the case of sample rotation. Main features of the proposed scheme and its limitations are given. Efficiency of the method is also evaluated empirically.
    Release date: 1979-12-15

  • Articles and reports: 12-001-X197900254835
    Description: The problem considered in this paper is the estimation of various agricultural variables using a multiple frame approach. The list frame is completely contained within the area frame. The stratification for the list and area frames are based on different criteria. Overall, the multiple frame shows some gains in terms of variance over the area frame. However, a more careful analysis reveals problem areas associated with the list frame such as the method of stratification and the degeneration of list strata over time.
    Release date: 1979-12-15

  • Articles and reports: 12-001-X197900254836
    Description: This article presents the methodology and analysis of two major pretests undertaken in order to compare the effectiveness of different interviewing methods and to assess the feasibility of collecting information which would meet Victimization Survey information requirements.
    Release date: 1979-12-15

  • 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
Reference (1,890)

Reference (1,890) (0 to 10 of 1,890 results)

  • Notices and consultations: 41-20-00012024001
    Description: From November 2022 to March 2023 Statistics Canada undertook a series of discussions to obtain feedback on the questions used to identify First Nations people, Métis and Inuit on the Census of Population and on other Statistics Canada surveys. This report summarizes the feedback received during these discussions.
    Release date: 2024-05-29

  • Notices and consultations: 41-20-0001
    Description: Engagement on the questions used to identify First Nations people, Métis and Inuit that are included on the Census of Population and on other Statistics Canada surveys is an important part of ensuring high quality and meaningful data are collected. The feedback received during these discussions are presented in these reports.
    Release date: 2024-05-29

  • Classification: 89-26-0004
    Description: This classification system was developed conjointly by the Social Sciences and Humanities Research Council of Canada (SSHRC), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), and Statistics Canada which is the custodian. This shared standard classification, inspired by the Frascati Model 2015 of the Organisation for Economic Co-operation and Development (OECD), will be used by the federal granting agencies and Statistics Canada to collect, and disseminate data related to research and development in Canada. The Canadian Research and Development Classification (CRDC) first official version was the 2020 Version 1.0, now being replaced by CRDC Version 2.0. The CRDC is revised within 2 years for minor changes, and every five years for major revisions. CRDC 2020 Version 2.0 is composed of 3 main pieces: the type of activity or TOA (with 3 categories), the field of research or FOR (with 1,671 fields at the lowest level) and socioeconomic objective or SEO (with 85 main groups at the lowest level).
    Release date: 2024-04-30

  • Notices and consultations: 92-137-X2024001
    Description: Data from the Census of Population are important for all communities and are vital to plan services that support education, employment, transportation, health care and housing. To maintain the relevance of the census, Statistics Canada evaluates and reviews the census questionnaire content for each census cycle. In preparation for the 2026 Census, Statistics Canada consulted Canadians from fall 2022 to spring 2023. Detailed responses were received from organizations and individuals representing federal, provincial, territorial and local government departments; First Nations people, Métis and Inuit; the general public; academia; special interest groups; and the private sector.

    This report focuses on the findings of the 2026 Census data needs consultation and stakeholder discussions. Chapter 1 explains whom we consulted. Chapter 2 describes the strength of census data users’ needs such as the size of the population of interest. Chapter 3 provides an assessment of the perceived data gaps in census content and the availability and suitability of alternative data sources. Chapter 4 focuses on information needs by census topic and how preparations for the 2024 Census Test will help meet these needs.
    Release date: 2024-04-17

  • Surveys and statistical programs – Documentation: 37-20-0001
    Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.
    Release date: 2024-04-17

  • Notices and consultations: 92-137-X
    Description: User consultation is the first step in determining Census Program content. The findings of content consultations are presented in these reports.
    Release date: 2024-04-17

  • Surveys and statistical programs – Documentation: 72-203-G
    Description: The Guide to the Survey of Employment, Payrolls and Hours contains a dictionary of concepts and definitions and covers topics such as survey methodology, data collection and processing, and data quality. It also provides information on products and services, as well as the survey questionnaire.
    Release date: 2024-03-28

  • 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: 2024-03-28

  • Geographic files and documentation: 82-402-X
    Description: Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to latest Census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout).

    In addition to the geographic files, this product also includes Census data (basic profile) for health regions.

    Release date: 2024-03-27

  • Surveys and statistical programs – Documentation: 89-657-X2024002
    Description: This document presents a complete list of the social inclusion indicators for ethnocultural groups in Canada that are available on the homepage of our Gender, Diversity and Inclusion Statistics Hub. The information provided for each indicator includes a short description of the corresponding derivation, available data sources, reference years and accessible levels of geographical and disaggregation. Each indicator has a corresponding products number (data tables, visualization tools and analytical documents). This document has been updated to reflect the social inclusion indicators and associated products that are available in 2024.
    Release date: 2024-03-26
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