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

Description: This article takes a closer look into the largest contributors and detractors to growth in each province and territory in 2023. Using data from the May 1, 2024 provincial and territorial GDP by industry release as a starting point, a more comprehensive picture of each jurisdiction’s 2023 economic performance is presented by integrating other economic indicators such as population, prices and labour market measures, and by examining the context in which industries grew or contracted during the reference period.

Description: This public use microdata file (PUMF) contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). The LFS collects monthly information on the labour market activities of Canada's working age population. This product is for users who prefer to do their own analysis by focusing on specific subgroups in the population or by cross-classifying variables that are not in our catalogued products.

Monthly files are available back to 2006 and can be directly downloaded. For reference periods prior to 2006, files are available by request through Statistics Canada's Electronic File Transfer (EFT) service and date back to 1976.

Description: This table contains 14 series, with data starting from 1925 (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: United States ...), Rate (14 items: 91-day treasury bill yield; Treasury bills at Monday tender; adjusted: 3 month (average);United States treasuries constant maturity: 5 year; United States treasuries constant maturity: long term ...).

Description: This table contains 7 series, with data starting from 1972 (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 ...), Commodity (7 items: Total; all commodities; Metals and Minerals; Energy; Total excluding energy ...).

Description: This table contains 12 series, with data starting from 1954 (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: United States); Rates (12 items: Federal Reserve Bank of New York - discount rate; Prime rate charged by banks; Federal funds rate;Commercial paper, adjusted: 1 month; ...).

Description: This table contains 7 series, with data starting from 1972 (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), Commodity (7 items: Total, all commodities; Total excluding energy; Energy; Metals and Minerals; ...).

Description: This table contains 38 series, with data starting from 1957 (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), Rates (38 items: Bank rate; Chartered bank administered interest rates - prime business; Chartered bank - consumer loan rate; Forward premium or discount (-), United States dollars in Canada: 1 month; ...).

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex and detailed age group, last 5 months.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by sex and detailed age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Building permits: Interactive Dashboard can be used to visualize monthly data or trend analysis of the value of permits issued by Canadian municipalities as well as monthly changes on residential units created. The user can view those data by selecting reference period, geography, type of building structure and value type for seasonal adjustment.

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 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:

Electric power selling price index (EPSPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2014=100).

Description:

Electric power selling price index (EPSPI). Monthly data are available from February 1981. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (2014=100).

Description:

As part of the Transport Canada Multimodal Safety and Security Programs Oversight Delivery Indicators, this table contains, starting with the first quarter of the 2019-2020 federal government fiscal year, the type and number of enforcement actions, by programs.

Description:

As part of the Transport Canada Multimodal Safety and Security Programs Oversight Delivery Indicators, this table contains, starting with the first quarter of the 2019-2020 federal government fiscal year, the type and number of immediate risk reduction measures, by programs.

Description:

As part of the Transport Canada Multimodal Safety and Security Programs Oversight Delivery Indicators, starting with the four quarters of the 2017-2018 federal government fiscal year, this table contains the number of completed inspections by programs, activities and administrative regions.

Description:

As part of the Transport Canada Multimodal Safety and Security Programs Oversight Delivery Indicators, this table contains, starting with the first quarter of the 2017-2018 federal government fiscal year, the number of employees delivering oversight, by programs.

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:

In order to improve the timeliness, accuracy and consistency of population estimates for different geographic areas, Statistics Canada has developed new methods of estimation for sub-provincial areas (census divisions and census metropolitan areas). Beginning with 1982, two sets of population estimates (regression and component based) will be published yearly, appearing 3-4 months and 12-15 months, respectively, from the reference date.

The regression technique uses family allowance recipients as the main symptomatic indicator and where available, additional indicators - reference population from provincial health insurance files and hydro accounts - to derive population change for the current year. The first set is obtained by adding this change to the second set for the previous year produced by the component method, with births and deaths from vital registers, and estimated migration from Revenue Canada taxation files. The two sets were found to be statistically similar with respect to accuracy, though the first set is more timely, and the second provides more details on the components of population change.

Description:

This paper firstly provides an overview of the For-hire Trucking Survey background and of the steps that were involved in the revision that led to its re-design. It secondly describes the general direction of the methodology of the re-designed survey which is being implemented for reference year 1981.

Description: This is non-Statistics Canada information.

Description: If you have any questions about these data please contact: Randy Sheldrick Energy Section Manufacturing, Construction and Energy Division Statistics Canada Ottawa, Ontario K1A 0T6 Telephone: (613) 951-4804

Description: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: This is not Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: This is non-Statistics Canada information.

Description: This is not a survey. The Business Integrated Databse (BID) is a joint Industry Canada and Statistics Canada project.