Keyword search

Description:

Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

Description:

Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

Description: Lumber, monthly stock, by species for British Columbia; data in thousands of cubic metres.

Description: Wood chips, monthly production, shipments and stocks for Canada, British Columbia, British Columbia coast, British Columbia interior and other provinces. The data are in thousands of oven-dry metric tonnes.

Description: Historical releases of retail trade sales, available for all members under release and adjustment dimensions, for Canada, provinces and territories, available on a monthly basis in dollars x 1,000.

Description: Historical (real-time) releases of retail sales, price, and volume, available for all members under North American Industry Classification System (NAICS) dimension, for Canada, available on a monthly basis, seasonally adjusted, in dollars x 1,000,000.

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 all NAICS under amusement parks and arcades (7131) and other amusement and recreation industries (7139), annual, for four years of data.

Description: The operating expenses by North American Industry Classification System (NAICS) which include the industry expenditures, for amusement and recreation, annual (percent), for four years of data.

Description:

Amusement and recreation, e-commerce sales, by North American Industry Classification System (NAICS) 7131 Amusement parks and arcades, (NAICS) 7139 Other amusement and recreation industries, which includes all members under Sales, (dollars X 1,000,000), annual (percent), for five years of data.

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; ...).

Description: This table contains 107 series, with data starting from 1946 (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 ...), Government of Canada direct securities and loans (107 items: Classification by type of issue; total outstanding; Total; direct securities outstanding; Treasury Bills; Guaranteed securities ...).

Description: This table contains 29 series, with data starting from 1953 (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), Assets and liabilities (29 items: Total assets; Total, Government of Canada, direct and guaranteed securities; Government of Canada, Treasury Bills; Total, Government of Canada, bonds; ...).

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: Lumber, monthly production, shipments and stocks by species; data in thousands of cubic metres.

Description:

Lumber, monthly production, by product; data in thousands of cubic metres.

Description:

Lumber, monthly shipments, by product; data in thousands of cubic metres.

Description:

Lumber, monthly stocks, by product; data in thousands of cubic metres.

Description:

Lumber, monthly production, by species, for British Columbia; data in thousands of cubic metres.

Description:

Lumber, monthly shipments, by species, for British Columbia; data in thousands of cubic metres.

Description: Lumber, monthly stock, by species for British Columbia; data in thousands of cubic metres.

Description:

This presentation describes the important and urgent task of providing useful expressions for analytical statistics for complex sample designs. The following topics are discussed: effects of complex designs, sampling error for analytical statistics, subclasses involved in analytical statistics, comparisons of paired means, computation of analytical statistics and categorical data analysis.

Description:

Univariate statistical models, linear regression models and generalized linear models are briefly reviewed. Examples of a two-way analysis of variance, a three-way analysis of variance and logistic regression for a three way layout are given.

Description:

This paper proposes a modification to the method of Denton (1971) for adjusting sub-annual series to yearly totals. These totals originate from more reliable sources and constitute annual benchmarks. The benchmarked series derived according to the modified method is more parallel to the unbenchmarked series than this is the case with the original method. An additive and a proportional variant of the method are presented. These can easily be adapted for flow, stock and index series. Also presented are a few recommendations about the preliminary benchmarking of current data and the management of “historical” estimates of the series.

Description:

Using data from the Family Expenditures Surveys over time, consumer expenditures on in-home and transportation energy from 1969 to 1982 are being studied. This article briefly summarizes some of the procedures being used to explore the data, summarize it and develop insights into shifts in consumption for policy implications purposes. With such a complex data set and such a complex, multi-faceted subject for analysis some effort must be made to reduce information flows and at the same time increase the information content of each factor of both input and output in the analyses.

Description:

Standard chisquared (X^2) or likelihood ratio (G^2) tests for logistic regression analysis, involving a binary response variable, are adjusted to take account of the survey design. The adjustments are based on certain generalized design effects. The adjusted statistics are utilized to analyse some data from the October 1980 Canadian Labour Force Survey (LFS). The Wald statistic, which also takes the survey design into account, is also examined for goodness-of-fit of the model and for testing hypotheses on the parameters of the assumed model. Logistic regression diagnostics to detect any outlying cell proportions in the table and influential points in the factor space are applied to the LFS data, after making necessary adjustments to account for the survey design.

Description:

Most sample surveys conducted by organizations such as Statistics Canada or the U.S. Bureau of the Census employ complex designs. The design-based approach to statistical inference, typically the institutional standard of inference for simple population statistics such as means and totals, may be extended to parameters of analytic models as well. Most of this paper focuses on application of design-based inferences to such models, but rationales are offered for use of model-based alternatives in some instances, by way of explanation for the author’s observation that both modes of inference are used in practice at his own institution.

Within the design-based approach to inference, the paper briefly describes experience with linear regression analysis. Recently, variance computations for a number of surveys of the Census Bureau have been implemented through “replicate weighting”; the principal application has been for variances of simple statistics, but this technique also facilitates variance computation for virtually any complex analytic model. Finally, approaches and experience with log-linear models are reported.

Description:

The paper shows different estimation methods for complex survey designs. Among others, estimation of mean, ratio and regression coefficient is presented. The standard errors are estimated by different methods: the ordinary least squares procedure, the stratified weighted sample procedure, the stratified unit weight procedure, etc. Theory of large samples and conditions to apply it are also presented.

Description:

Cost models to determine an optimum allocation of the sample among stages in cluster samples are considered. Results from a proposed cost model, which directly considers the implications of follow-up visits to sample clusters as well as other travel to and from the field by data collectors, are compared with results from existing cost models. The proposed model generally calls for fewer clusters with more elements selected per cluster than the existing models.

Description:

This study considers the suitability of composite estimation techniques for the Canadian Labour Force Survey. The performance of a class of AK composite estimators introduced initially by Gurney and Daly is investigated for several characteristics. While the ordinary composite estimate has a large bias, the AK composite estimate is capable of reducing the bias. Composite estimates having minimum variance and minimum mean square error are compared.

Description:

The oil crisis of the mid-1970’s triggered a new awareness among Canadians of the importance of energy conservation. The resulting government programs in the transportation sector demanded basic data about on-the-road fuel consumption by motor vehicles operating in Canadian conditions. This paper describes the Passenger Car Fuel Consumption Survey which was developed jointly by Statistics Canada and Transport Canada to meet this need. The methodology of the survey is described and some examples of the results are presented. The paper concludes with some speculation about future directions for the survey and for vehicle-usage statistics in general.

Description: This report provides data quality information pertaining to the Agriculture–Population Linkage, such as sources of error, matching process, response rates, imputation rates, sampling, weighting, disclosure control methods and data quality indicators.

Description: Data on income of census families, individuals and seniors are derived from the T1 Family File (T1FF). This file is based on information from the T1 form, Income Tax and Benefit Return, which Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.

Description:

This reference guide provides information to help users effectively use and interpret place of birth, generation status, citizenship and immigration data from the 2021 Census. This guide contains definitions and explanations of concepts, questions, classifications, data quality and comparability with other sources for this topic.

Description:

Provides information that enables users to effectively use, apply and interpret data from the Census of Population. Each guide contains definitions and explanations on census concepts as well as a data quality and historical comparability section. Additional information will be included for specific variables to help users better understand the concepts and questions used in the census.

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: This document is part of the Grain Supply Chain Dashboard: Real-Time Grain Movement by Rail (GSCD) data visualization product. It accompanies the GSCD and presents the conceptual structure of the railway movement, the data and computation methods, and current limitations. The GSCD is released as an experimental data product.

Description: Updated in April 2023 to include newly released data from the 2021 Census, the 2021 Census Teacher's Kit is for use in elementary, intermediate and secondary classes across the country. It includes five fun, classroom-ready activities that will help students gain an understanding of what the census is used for, how it is conducted, and the role it has played in shaping present-day Canada.

Description: The Census Teacher’s Kit has been developed for use in elementary, intermediate and secondary classes across the country. All activities are classroom-ready and have been reviewed to meet curriculum requirements.

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 and reference years, and accessible levels of geographical disaggregation. Each indicator has various corresponding products (data tables, visualization tools and analytical documents).

Description: This video explains the key concepts of different levels of aggregation of income data such as household and family income; income concepts derived from key income variables such as adjusted income and equivalence scale; and statistics used for income data such as median and average income, quartiles, quintiles, deciles and percentiles.