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Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (22 items: Prince Edward Island; Canada; Newfoundland and Labrador; Atlantic provinces ...), Housing estimates (3 items: Housing starts; Housing completions; Housing under construction ...), Type of unit (6 items: Total units; Semi-detached units; Row units; Single-detached units ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (86 items: Nova Scotia; Prince Edward Island; Canada; Newfoundland and Labrador ...), Type of dwelling unit (5 items: Total units; Row units; Single units; Semi-detached units ...), Type of market (5 items: Homeowner; Rental; Condo; Co-op ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (37 items: Census metropolitan areas; Abbotsford-Mission, British Columbia; Barrie, Ontario; Brantford, Ontario; ...);  Completed dwelling units (2 items: Absorptions; Unabsorbed inventory);  Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (38 items: All census agglomerations 50;000 and over; Barrie; Ontario; Belleville; Ontario; Abbotsford-Mission; British Columbia ...), Completed dwelling units (2 items: Absorptions; Unabsorbed inventory ...), Type of dwelling unit (3 items: Total units; Single detached units; Semi-detached units ...).

Description:

This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Nova Scotia; Prince Edward Island; Newfoundland and Labrador; Canada ...), Housing estimates (3 items: Housing starts; Housing under construction; Housing completions ...), Type of unit (5 items: Total units; Single-detached units; Row units; Semi-detached units ...).

Description:

The economic impact of the wireless telecommunications carriers industry in Canada, by province, expressed as the direct, indirect and induced effects on output, gross value added at basic prices and the number of jobs.

Description:

Number of job vacancies, payroll employees, and job vacancy rate, by economic regions, last 5 quarters.

Description:

Number of job vacancies, by type of work and position and one-digit National Occupational Classification (NOC) code, last 5 quarters.

Description:

Number of job vacancies, payroll employees, and job vacancy rate, by two-digit North American Industry Classification System (NAICS) code, last 5 quarters.

Description: Number of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by economic region, last 5 quarters.

Description: Number of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by three-digit North American Industry Classification System (NAICS) code, last 5 quarters.

Description: Number of job vacancies, proportion of job vacancies and average offered hourly wage by selected characteristics (type of work, minimum level of education sought, minimum experience level sought, duration of job vacancy, type of position, and recruitment strategies) and National Occupational Classification (NOC), last 5 quarters.

Description: Number of job vacancies and average offered hourly wage by five-digit National Occupational Classification (NOC) code, last 5 quarters.

Description: The Inter-corporate ownership product is the most authoritative and comprehensive source of information available on corporate ownership; a unique directory of "who owns what" in Canada. It provides up-to-date information reflecting recent corporate takeovers and other substantial changes. Ultimate corporate control is determined through a careful study of holdings by corporations, the effects of options, insider holdings, convertible shares and interlocking directorships. The number of corporations that make up the hierarchy of structures totals approximately 50,000.

The information that is presented is based on non-confidential returns filed by Canadian corporations under the Corporations Returns Act and on research using public sources such as internet sites. The data are presented in an easy-to-read tiered format, illustrating at a glance the hierarchy of subsidiaries within each corporate structure. The entries for each corporation provide both the country of control and the country of residence.

The product covers every individual corporation that is part of a group of commonly controlled corporations with combined assets exceeding 600 million dollars or combined revenue exceeding 200 million dollars. Individual corporations with debt obligations or equity owing to non-residents exceeding a net book value of 1 million dollars are covered as well.

Description: This table contains 39 series, with data for starting from 1991 (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); Financial market statistics (39 items: Government of Canada Treasury Bills, 1-month (composite rates); Government of Canada Treasury Bills, 2-month (composite rates); Government of Canada Treasury Bills, 3-month (composite rates);Government of Canada Treasury Bills, 6-month (composite rates); ...).

Description: This paper deals with the desirability of designing surveys in such a way that results can be compared to previous existing data. The writer explains why there are practical difficulties in assessing the significance of data collected in a one-time survey where these data stand alone and are not readily comparable to other existing data, i.e., where control group data or other benchmarks do not exist.

Description: The government survey sponsor should plan carefully what he expects to get from the supplier, specifying who is to do what, when, including details of what the sponsor will do. If there are many eligible suppliers, only a small number should be invited to submit proposals, increasing as the value of the contract increases. Procedures for screening suppliers and selecting the successful one should be organized before proposals are received. These should include visits to review suppliers, facilities and organization, as a good relationship between a sponsor and a supplier depends largely on good faith and willing cooperation. Sponsor-supplier relationships are more formal, and more time-consuming in the selection process, than in the private sector.

Description: Various research methods are discussed in terms of evaluating government programs and meeting the needs of users in the private sector. A brief evaluation of social trend studies is given, as well as a description of problems associated with consumer research.

Description:

The paper illustrates several practical problems in the adaptation of statistical theory to survey design in the context of the revision of an employment survey programme.

Description:

The Reverse Record Check is the main vehicle used to assess the level of undercoverage in the Canadian Census of Population. A sample of persons is selected from sources independent of the current census and extensive tracing operations are undertaken to determine the usual address of each selected person as of Census day. Census records are then checked to determine whether or not each selected person was enumerated. The tracing is by far the most complex, costly and time-consuming operation associated with this study. It involves extensive use of administrative records as well as tracing in the field. This paper describes the various tracing methods used as well as the success obtained from each of them.

Description: In this paper three types of ratio estimators, namely combined, post-stratified and a generalized ratio estimator developed earlier by Singh (1969) and Naga Reddy (1974), are considered. Based on an empirical evaluation, their efficiencies are compared for two large scale household surveys, namely the Canadian Labour Force Survey and the Survey of Consumer Finances.

Description: Statistics on sales of establishments classified as restaurants, caterers and taverns have been collected since 1951. The sample has not been updated for births since 1968 and as a result, it is not representative of the current universe. This paper reports on several methodological aspects of the redesign. The sampling unit, sample design, sample size and allocation, data collection methods, edits and imputations, accumulations and calculations, frame and sample maintenance are described. The new survey will reduce manual procedures wherever possible. Collection, editing, imputation, tabulation and updating procedures will be completely computerized. Data collection will be decentralized and will take place via telephone.

Description: The Farm Expenditure Survey was developed to provide annual expenditure estimates for the Western Grain Stabilization Act which is an income stabilization program for grain farmers in the prairies and Peace River district of British Columbia. This paper describes the design of the 1979 survey which incorporated a stratified two-stage design in the area sample and a single take-all stratum in the list sample.

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.

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.

Description: The Analytical Studies and Modelling Branch is the research (ASMB), modelling, training and access hub of Statistics Canada. It focuses on leveraging the agency’s vast data holdings to generate in-depth insights that support evidence-based policy making and to enable others to do so through analytical training and data access. The ASMB, like other program areas in the agency, works to support Statistics Canada’s overall mission of delivering insights through data for a better Canada.

Description: To stay relevant, preparing for a new Census of Agriculture requires a thorough evaluation of data requirements. Before each census, Statistics Canada conducts consultations to solicit input and feedback on the Census of Agriculture's content. This report describes those consultations and the process that was followed to test and determine which topics could be potentially retained for the next census.

Description: This product contains specifications intended for users of the urban greenness geospatial files. This document provides important technical information for users and links to methodology.

Description: The Coverage Technical Report will present the errors included in census data that result from persons who are either missed (not enumerated) or enumerated more than once. The population coverage error is one of the most important types of errors because it affects the accuracy of not only population counts, but also all the census data results that describe the characteristics of the population universe.

Description: This product contains gridded datasets of annual and 30-year average estimates of water yield. Tracking water yield—an estimate of renewable water supply derived from National Water Data Archive (HYDAT) streamflow data—provides information to help understand water resources available for human use and ecosystem needs. Annual datasets are available for the years 1971 to 2021 and cover southern Canada. Thirty-year averages are available for 1971-2000, 1981-2010, and 1991-2020. They cover the terrestrial and freshwater extent of Canada, except for the Arctic Archipelago.

Description: This product contains specifications intended for users of the water yield geospatial files. This document provides important technical information for users and links to methodology.

Description: This guide is intended to provide a detailed review of both the 2022 IPS and IPS–NIS with respect to subject matter and methodological approaches. It is designed to help data users by serving as a guide to the concepts and measures of the survey as well as the technical details of the survey’s design, field work and data processing. This guide is meant to provide users with helpful information on how to use and interpret survey results. The discussion on data quality also allows users to review the strengths and limitations of the data for their particular needs.

Chapter 1 of this guide provides an overview of the 2022 IPS and IPS–NIS by introducing the survey background and objectives. Chapter 2 outlines the survey’s themes and explains the key concepts and definitions used for the survey. Chapters 3 to 6 cover important aspects of the survey methodology, sampling design, data collection and processing. Chapters 7 and 8 review issues of data quality and caution users about comparing 2022 IPS or IPS–NIS data with data from other sources. Chapter 9 outlines the survey products available to the public, including data tables, analytical articles and reference material. The appendices provide a comprehensive list of survey indicators, extra coding categories and standard classifications used on both the IPS and the IPS–NIS. Lastly, a glossary of survey terms and information on confidence intervals is also provided.

Description: The Guide to Employment Insurance Statistics (EIS) summarizes the survey methodology and data source and includes a dictionary of concepts and definitions used by the program.

Description: This video is part of a series that is designed to give you a basic understanding of the Census of Population web pages. This video will provide an overview of the major links and products on the main page that are available to all users.

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 explain where to find the most popular standard data product of the Census of Population, the 2021 Census Profile, and how to filter the data.