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Description:

International merchandise trade data grouped by Principal Trading Partners (PTP). Users have the option of selecting Imports, Exports or Trade Balance. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis, at a quarterly frequency.

Description:

Canadian domestic export concentration, by destination market, product and province of production. Users have the option of selecting a concentration ratio as well as an index of the ratio for Canada, the provinces and territories. Data by destination market are available for all countries combined as well as for all countries excluding the United States.

Description:

International merchandise trade data aggregated by codes of the Classification by Broad Economic Categories Rev. 5 (BEC Rev. 5). Users have the option of selecting imports and exports by BEC Rev. 5 code, the country of origin and the country of destination. Data are annual and on customs basis.

Description:

Monthly international trade in services statistics are compiled as a nowcast of the quarterly international trade in services data. Statistics Canada first projects the next quarter’s totals (using previous quarterly actuals as an input) via an autoregressive integrated moving average (ARIMA) model and then disaggregates the quarter using a monthly indicator series. Adjustments are made each month as new information is made available.

Description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis, at a monthly frequency.

Description: International merchandise trade data grouped by the North American Product Classification System (NAPCS) highlighting the motor vehicle and parts section. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis at a monthly frequency.

Description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis, at a quarterly frequency.

Description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are in constant dollar terms, calculated using a chained Fisher formula with 2017 as the base year, seasonally adjusted, on a Balance of Payments basis, at a monthly frequency.

Description: International merchandise trade data grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports and Exports. Data are in constant dollar terms, calculated using a chained Fisher formula with 2017 as the base year, seasonally adjusted, on a Balance of Payments basis, at a quarterly frequency.

Description: International merchandise trade price and volume indexes, grouped by North American Product Classification System (NAPCS) section. Users have the option of selecting Imports or Exports, as well as Paasche or Laspeyres price indexes, or Laspeyres volume indexes. Data are unadjusted and seasonally adjusted, on a Customs and Balance of Payments basis, at a monthly frequency.

Description: This interactive dashboard provides access to current and historical average price data for selected food products in a dynamic and customizable format. The price data is available for Canada and the provinces. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

This web-based application is updated monthly, as soon as the data for the latest reference month is released in The Daily.

Description: Statistics Canada produces a variety of interactive visualization tools that present data in a graphical form. These tools provide a useful way of interpreting trends behind our data on various social and economic topics.

Description: This table contains 6 series, with data starting from 1951 (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 items: Canada ...), Type of reserve (6 items: Convertible foreign currencies; other than United States; Total; Canada's official international reserves; Gold; Convertible foreign currencies; United States dollars ...).

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 table contains 6 series, with data starting from 1999 (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 reserve (6 items: Total, Canada's official international reserves; Convertible foreign currencies, United States dollars;Convertible foreign currencies, other than United States; Gold; ...).

Description: Monthly average retail prices for selected products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

Description: Monthly average retail prices for selected food products, for Canada and provinces. Prices are presented for the current month and the previous four months. Prices are based on transaction data from Canadian retailers, and are presented in Canadian current dollars.

Description: The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of automotive repair and maintenance (NAICS 8111), annual, for five years of data.

Description: The operating expenses by North American Industry Classification System (NAICS) which include all members under industry expenditures, for automotive repair and maintenance (NAICS 81111, 81112 and 81119), annual (percent), for five years of data.

Description: The sales by type of client based on the North American Industry Classification System (NAICS) which include all members under type of client, for automotive repair and maintenance (NAICS 81111, 81112 and 81119), annual, for five years of data.

Description:

This paper develops a design consistent small domain estimator using a random effects model. The mean squared error of this estimator is then evaluated without assuming the random effect component of the model is correct. Data from a complex sample survey shows how this approach to mean squared error estimation, while perhaps too instable to be used directly, can be employed to determine whether the design consistent small domain estimator proposed here is better than the conventional design-based estimator.

Description:

A comprehensive bibliography of books, research reports and published papers, dealing with the theory, application and development of randomized response techniques, includes a subject classification.

Description:

This note portrays SQL, highlighting its strengths and weaknesses.

Description:

When we examine postal addresses as they might appear in an administrative file, we discover a complex syntax, a lack of standards, various ambiguities and many errors. Therefore, postal addresses represent a real challenge to any computer system using them. PAAS (Postal Address Analysis System) is currently under development at Statistics Canada and aims to replace an aging routine used throughout the Bureau to decode postal addresses. PAAS will provide a means by which computer applications will obtain the address components, the standardized version of these components and the corresponding Address Search Key (ASK).

Description:

The methods used to control the quality of Statistics Canada’s survey processing operations generally involve acceptance sampling by attributes with rectifying inspection, contained within the broader framework of Acceptance Control. Although these methods are recognized as good corrective procedures, they do little in themselves to prevent errors from recurring. As this is of the utmost importance in any quality program, the Quality Control Processing System (QCPS) has been designed with error prevention as one of its primary focuses. Accordingly, the system produces feedback reports and graphs for operators, supervisors and managers involved in the various operations. The system also produces information concerning changes in the inspection environments which enable methodologists to adjust inspection plans/procedures in accordance with the strategy of Acceptance Control. This paper highlights the main tabulation and estimation features of the QCPS and the manner in which it serves to support the principal quality control programs at Statistics Canada. Major capabilities from a methodological and systems perspective are discussed.

Description:

A generalized implementation of a method for performing automated coding is described. Traditionally, coding has been performed manually by specially trained personnel, but recently computerized systems have appeared which either eliminate or substantially reduce the need for manual coding. Typically, such systems are limited in use to those applications for which they were originally designed. The system presented here may be used by any application to perform coding of English or French text using any classification scheme.

Description:

The QUID system, which was designed and developed by INSEE (Paris) Institut National de la Statistique et des Études Économiques- National Statistics and Economic Studies Institute, is an automatic coding system for survey data collected in the form of literal headings expressed in the terminology of the respondent. The system hinges on the use of a very wide knowledge base made up of real phrases coded by experts. This study deals primarily with the preliminary automatic standardization processing of the phrases, and then with the algorithm used to organize the phrase base into an optimized tree pattern. A sorting example is provided in the form of an illustration. At present, the processing of additional coding variables used to complement the information contained in the phrases presents certain difficulties, and these will be examined in detail. The QUID 2 project, an updated version of the system, will be discussed briefly.

Description:

Suppose that undercount rates in a census have been estimated and that block-level estimates of the undercount have been computed. It may then be desirable to create a new roster of households incorporating the estimated omissions. It is proposed here that such a roster be created by weighting the enumerated households. The household weights are constrained by linear equations representing the desired total counts of persons in each estimation class and the desired total count of households. Weights are then calculated that satisfy the constraints while making the fitted table as close as possible to the raw data. The procedure may be regarded as an extension of the standard “raking” methodology to situations where the constraints do not refer to the margins of a contingency table. Continuous as well as discrete covariates may be used in the adjustment, and it is possible to check directly whether the constraints can be satisfied. Methods are proposed for the use of weighted data for various Census purposes, and for adjustment of covariate information on characteristics of omitted households, such as income, that are not directly considered in undercount estimation.

Description:

The U.S. Bureau of the Census uses dual system estimates (DSEs) for measuring census coverage error. The dual system estimate uses data from the original enumeration and a Post Enumeration Survey. In measuring the accuracy of the DSE, it is important to know that the DSE is subject to several components of nonsampling error, as well as sampling error. This paper gives models of the total error and the components of error in the dual system estimates. The models relate observed indicators of data quality, such as a matching error rate, to the first two moments of the components of error. The propagation of error in the DSE is studied and its bias and variance are assessed. The methodology is applied to the 1986 Census of Central Los Angeles County in the Census Bureau’s Test of Adjustment Related Operations. The methodology also will be useful to assess error in the DSE for the 1990 census as well as other applications.

Description:

This paper presents results from a study of the causes of census undercount for a hard-to-enumerate, largely Hispanic urban area. A framework for organizing the causes of undercount is offered, and various hypotheses about these causes are tested. The approach is distinctive for its attempt to quantify the sources of undercount and isolate problems of unique importance by controlling for other problems statistically.

Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.

Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality.

Description: The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and covers topics such as survey methodology, data collection, processing, and data quality. The guide covers both components of the survey: the job vacancy component, which is quarterly, and the wage component, which is annual.

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.

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.

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).

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.

Description: User consultation is the first step in determining Census Program content. The findings of content consultations are presented in these reports.

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.

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.