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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: Quarterly other changes in assets account data, for the household, non-profit institutions serving households, corporations, general governments and non-resident sectors, as well as the total of all sectors by category.

Description:

General government gross domestic and foreign debt, and financial liabilities by category, quarterly.

Description:

Quarterly Financial Flow Accounts data, for the household, corporations, general governments and non-resident sectors, as well as the total of all sectors and the statistical discrepancy, by category.

Description:

This financial market summary table presents quarterly Financial Flow Accounts data, unadjusted, by category.

Description: Quarterly national balance sheet data, for the household, corporations, general governments and non-resident sectors, as well as the total of all sectors and the consolidated national balance sheet, by category, in both market and book value.

Description: Infrastructure is the physical structures and systems that support the production of goods and services and their delivery to and consumption by governments, businesses and citizens. The industry undertaking that infrastructure investment is also presented. Accumulating investment flows over time produces an estimate of the stock of infrastructure assets. The perpetual inventory method is used as it estimates a value of the net stock of fixed assets in existence and in the hands of producers which is generally based on estimating how many of the fixed assets installed, as a result of investment undertaken in previous years, have survived to the current period. The depreciation of that stock is calculated using the geometric method with asset specific depreciation profiles.

Description: The economic contribution as a result of the production of infrastructure assets due to investment is presented for valued added (GDP), compensation of employees and number of jobs. Value-added is a key measure of economic performance. It represents the output of an industry minus the value of intermediate inputs that were used up in the production of the goods and services. Within the Infrastructure Economic Accounts, this is the value added due to an industry's production of infrastructure assets. The number of jobs represents the number of jobs held by the self-employed, employees and unpaid family workers. The compensation of employees represents the wages and salaries, and supplementary labour income due to labour inputs for the production of infrastructure assets.

Description: The average age of investment is the weighted age of all investments remaining in the gross stock at year end. The remaining useful life, which is the difference between the average age of the investment spending and their expected service life, is then divided by the expected service life, creating a ratio that indicates the percentage of the asset class that remains.

Description: Expansion of the Infrastructure Economic Accounts focusing on the environmental aspect to aid in understanding the relationship between investment in infrastructure and the environment. Main indicators include greenhouse gas emissions as a result of production of infrastructure assets, greenhouse gas emissions per value-added, and clean input proportion.

Description:

Quarterly balance sheet of the other financial corporations sector presented on a modified whom-to whom basis at market value according to the Special Data Dissemination Standard Plus (SDDS plus).

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.

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.

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.

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.

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.

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.

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.

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.

Description: Under a sequential sampling plan, the proportion defective in the sample is generally a biased estimator of the population value. In this paper, an unbiased estimator is given. Also, an unbiased estimator of its variance is derived. These results are applied to an estimation problem from the 1976 Canadian Census.

Description: I.P. Fellegi and D. Holt proposed a systematic approach to automatic edit and imputation. An implementation of this proposal was a Generalized Edit and Imputation System by the Hot-Deck Approach, that was utilized in the edit and imputation of the 1976 Canadian Census of Population and Housing. This paper discusses that application, evaluating the strengths and weaknesses of the methodology with some empirical evidence. The system will be considered in relation to the general issues of the edit and imputation of survey data. Some directions for future developments will also be considered.

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.