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All (24,816)

All (24,816) (0 to 10 of 24,816 results)

  • Table: 18-10-0181-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Freight Rail Services Price Index (FRSPI). Quarterly data are available from Q1 2018. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 18-10-0181-02
    Geography: Canada
    Frequency: Quarterly
    Description:

    Freight Rail Services Price Index (FRSPI). Quarterly data are available from Q1 2018. The table presents quarter-to-quarter and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 18-10-0212-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 18-10-0212-02
    Geography: Canada
    Frequency: Monthly
    Description:

    Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The table presents month-to-month and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 10-10-0139-01
    Geography: Canada
    Frequency: Daily
    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); ...).
    Release date: 2024-12-24

  • Table: 25-10-0015-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Electricity generation by class of electricity producer (electric utilities, electricity producers, industries, etc.) and type of electricity generation (hydroelectric, combustible fuels, wind, etc.). Data are presented at the national and provincial levels, however not all combinations are available.
    Release date: 2024-12-24

  • Table: 25-10-0016-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Generation, receipts and deliveries of electric power, including deliveries and receipts to and from other provinces, as well as the United States. Data are presented at the national and provincial levels, however not all combinations are available.
    Release date: 2024-12-24

  • Table: 25-10-0036-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels for the supply of processing plant products, including propane, butane, ethane and sulphur. Not all combinations are available.
    Release date: 2024-12-24

  • Table: 25-10-0045-01
    Geography: Canada
    Frequency: Monthly
    Description: Data presented at the national level by supply and disposition characteristic (supply of coal, coal coke received, etc.).
    Release date: 2024-12-24

  • Table: 25-10-0046-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels, by coal types and uses (bituminous, sub-bituminous, etc.) and by volume of production and exports. Not all combinations are available.
    Release date: 2024-12-24
Data (12,234)

Data (12,234) (0 to 10 of 12,234 results)

  • Table: 18-10-0181-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Freight Rail Services Price Index (FRSPI). Quarterly data are available from Q1 2018. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 18-10-0181-02
    Geography: Canada
    Frequency: Quarterly
    Description:

    Freight Rail Services Price Index (FRSPI). Quarterly data are available from Q1 2018. The table presents quarter-to-quarter and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 18-10-0212-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 18-10-0212-02
    Geography: Canada
    Frequency: Monthly
    Description:

    Freight Rail Services Price Index (FRSPI). Monthly data are available from January 2018. The table presents month-to-month and year-to-year percentage changes for various aggregation levels. The current base period for the index is 2018=100.

    Release date: 2024-12-24

  • Table: 10-10-0139-01
    Geography: Canada
    Frequency: Daily
    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); ...).
    Release date: 2024-12-24

  • Table: 25-10-0015-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Electricity generation by class of electricity producer (electric utilities, electricity producers, industries, etc.) and type of electricity generation (hydroelectric, combustible fuels, wind, etc.). Data are presented at the national and provincial levels, however not all combinations are available.
    Release date: 2024-12-24

  • Table: 25-10-0016-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Generation, receipts and deliveries of electric power, including deliveries and receipts to and from other provinces, as well as the United States. Data are presented at the national and provincial levels, however not all combinations are available.
    Release date: 2024-12-24

  • Table: 25-10-0036-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels for the supply of processing plant products, including propane, butane, ethane and sulphur. Not all combinations are available.
    Release date: 2024-12-24

  • Table: 25-10-0045-01
    Geography: Canada
    Frequency: Monthly
    Description: Data presented at the national level by supply and disposition characteristic (supply of coal, coal coke received, etc.).
    Release date: 2024-12-24

  • Table: 25-10-0046-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Data presented at the national and provincial levels, by coal types and uses (bituminous, sub-bituminous, etc.) and by volume of production and exports. Not all combinations are available.
    Release date: 2024-12-24
Analysis (10,161)

Analysis (10,161) (0 to 10 of 10,161 results)

  • Stats in brief: 11-001-X202435824744
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-12-23

  • Stats in brief: 11-001-X20243583556
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-12-23

  • Stats in brief: 11-001-X20243583569
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-12-23

  • Stats in brief: 11-001-X20243583635
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-12-23

  • Articles and reports: 12-001-X202400200001
    Description: Cochran’s rule states that a standard (Wald) two-sided 95% confidence interval around a sample mean drawn from a population with positive skewness is reasonable when the sample size is greater than 25 times the square of the skewness coefficient of the population. We investigate whether a variant of this crude rule applies for a proportion estimated from a stratified simple random sample.
    Release date: 2024-12-20

  • Articles and reports: 12-001-X202400200002
    Description: This paper investigates whether survey data quality fluctuates over the day. After laying out the argument theoretically, panel data from the Survey of Unemployed Workers in New Jersey are analyzed. Several indirect indicators of response error are investigated, including item nonresponse, interview completion time, rounding, and measures of the quality of time diary data. The evidence that we assemble for a time of day of interview effect is weak or nonexistent. Item nonresponse and the probability that interview completion time is among the 5% shortest appear to increase in the evening, but a more thorough assessment requires instrumental variables.
    Release date: 2024-12-20

  • Articles and reports: 12-001-X202400200003
    Description: The optimum sample allocation in stratified sampling is one of the basic issues of survey methodology. It is a procedure of dividing the overall sample size into strata sample sizes in such a way that for given sampling designs in strata the variance of the stratified \pi estimator of the population total (or mean) for a given study variable assumes its minimum. In this work, we consider the optimum allocation of a sample, under lower and upper bounds imposed jointly on sample sizes in strata. We are concerned with the variance function of some generic form that, in particular, covers the case of the simple random sampling without replacement in strata. The goal of this paper is twofold. First, we establish (using the Karush-Kuhn-Tucker conditions) a generic form of the optimal solution, the so-called optimality conditions. Second, based on the established optimality conditions, we derive an efficient recursive algorithm, named RNABOX, which solves the allocation problem under study. The RNABOX can be viewed as a generalization of the classical recursive Neyman allocation algorithm, a popular tool for optimum allocation when only upper bounds are imposed on sample strata-sizes. We implement RNABOX in R as a part of our package stratallo which is available from the Comprehensive R Archive Network (CRAN) repository.
    Release date: 2024-12-20

  • Articles and reports: 12-001-X202400200004
    Description: While we avoid specifying the parametric relationship between the study variable and covariates, we illustrate the advantage of including a spatial component to better account for the covariates in our models to make Bayesian predictive inference. We treat each unique covariate combination as an individual stratum, then we use small area estimation techniques to make inference about the finite population mean of the continuous response variable. The two spatial models used are the conditional autoregressive and simple conditional autoregressive models. We include the spatial effects by creating the adjacency matrix via the Mahalanobis distance between covariates. We also show how to incorporate survey weights into the spatial models when dealing with probability survey data. We compare the results of two non-spatial models including the Scott-Smith model and the Battese, Harter, and Fuller model to the spatial models. We illustrate the comparison between the aforementioned models with an application using BMI data from eight counties in California. Our goal is to have neighboring strata yield similar predictions, and to increase the difference between strata that are not neighbors. Ultimately, using the spatial models shows less global pooling compared to the non-spatial models, which was the desired outcome.
    Release date: 2024-12-20

  • Articles and reports: 12-001-X202400200005
    Description: Adaptive survey designs (ASDs) tailor recruitment protocols to population subgroups that are relevant to a survey. In recent years, effective ASD optimization has been the topic of research and several applications. However, the performance of an optimized ASD over time is sensitive to time changes in response propensities. How adaptation strategies can adjust to such variation over time is not yet fully understood. In this paper, we propose a robust optimization approach in the context of sequential mixed-mode surveys employing Bayesian analysis. The approach is formulated as a mathematical programming problem that explicitly accounts for uncertainty due to time change. ASD decisions can then be made by considering time-dependent variation in conditional mode response propensities and between-mode correlations in response propensities. The approach is demonstrated using a case study: the 2014-2017 Dutch Health Survey. We evaluate the sensitivity of ASD performance to 1) the budget level and 2) the length of applicable historic time-series data. We find there is only a moderate dependence on the budget level and the dependence on historic data is moderated by the amount of seasonality during the year.
    Release date: 2024-12-20

  • Articles and reports: 12-001-X202400200006
    Description: As mixed-mode designs become increasingly popular, their effects on data quality have attracted much scholarly attention. Most studies focused on the bias properties of mixed-mode designs; few of them have investigated whether mixed-mode designs have heterogeneous variance structures across modes. While many characteristics of mixed-mode designs, such as varied interviewer usage, systematic differences in respondents, varying levels of social desirability bias, among others, may lead to heterogeneous variances in mode-specific point estimates of population means, this study specifically investigates whether interviewer variances remain consistent across different modes in mixed-mode studies. To address this research question, we utilize data collected from two distinct study designs. In the first design, when interviewers are responsible for either face-to-face or telephone mode, we examine whether there are mode differences in interviewer variances for 1) sensitive political questions, 2) international items, 3) and item missing indicators on international items, using the Arab Barometer wave 6 Jordan data. In the second design, we draw on Health and Retirement Study (HRS) 2016 core survey data to examine the question on three topics when interviewers are responsible for both modes. The topics cover 1) the CESD depression scale, 2) interviewer observations, and 3) the physical activity scale. To account for the lack of interpenetrated designs in both data sources, we include respondent-level covariates in our models. We find significant differences in interviewer variances on one item (twelve items in total) in the Arab Barometer study; whereas for HRS, the results are three out of eighteen. Overall, we find the magnitude of the interviewer variances larger in FTF than TEL on sensitive items. We conduct simulations to understand the power to detect mode effects in the typically modest interviewer sample sizes.
    Release date: 2024-12-20
Reference (1,945)

Reference (1,945) (0 to 10 of 1,945 results)

  • Notices and consultations: 11-628-X
    Description: Departmental Results Reports (DRRs) are part of the Estimates family of documents. Estimates documents support appropriation acts, which specify the amounts and broad purposes for which funds can be spent by the government. The Estimates document family has three parts.

    Part I (Government Expenditure Plan) provides an overview of federal spending.

    Part II (Main Estimates) lists the financial resources required by individual departments, agencies and Crown corporations for the upcoming fiscal year.

    Part III (Departmental Expenditure Plans) consists of two documents. Departmental Plans (DPs) are expenditure plans for each appropriated department and agency (excluding Crown corporations).

    Release date: 2024-12-17

  • Geographic files and documentation: 16-510-X2024005
    Description: This product contains specifications intended for users of the ocean and coastal ecosystem extent geospatial files. This document provides important technical information for users and links to methodology.
    Release date: 2024-12-16

  • Geographic files and documentation: 16-510-X2024006
    Description: This product contains gridded datasets of ocean and coastal ecosystem extent for ocean and coastal areas of Canada. Mapping the extent of ocean ecosystems is the first stage in creating spatially explicit accounts, to help understand the ocean and coastal ecosystems of Canada. The files cover the area from the coastline, defined by the 2021 Statistics Canada Census of Population, to the outer boundary of Canada’s exclusive economic zone (EEZ). Coastal areas of salt marsh are also included in the files.
    Release date: 2024-12-16

  • Surveys and statistical programs – Documentation: 89-657-X2024009
    Description: The Survey on the Official Language Minority Population (SOLMP) user guide contains a description of the survey, along with survey concepts and definitions and an overview of the content development. The target and survey populations, the sample design and sample size are described in the Methodology section. Finally, in the Data Collection module, the collection period and instrument, modes of collection, collection and communications strategies and response rates are provided.
    Release date: 2024-12-16

  • Geographic files and documentation: 16-510-X
    Description: Spatial information products provide users with data for visualization, reference, mapping and spatial analysis using geographical information systems (GIS). Available files include spatial environmental data as well as documentation and metadata. This information is released as part of a suite of products associated with the Census of Environment (CoE). The CoE organizes data about Canada’s natural environment using the System of Environmental-Economic Accounting – Ecosystem Accounting international statistical standard, which takes a spatial approach to accounting for Canada’s ecosystems and natural capital.
    Release date: 2024-12-16

  • Notices and consultations: 13-605-X
    Description: This product contains articles related to the latest methodological, conceptual developments in the Canadian System of Macroeconomic Accounts as well as the analysis of the Canadian economy. It includes articles detailing new methods, concepts and statistical techniques used to compile the Canadian System of Macroeconomic Accounts. It also includes information related to new or expanded data products, provides updates and supplements to information found in various guides and analytical articles touching upon a broad range of topics related to the Canadian economy.
    Release date: 2024-12-12

  • Surveys and statistical programs – Documentation: 37-20-00012024003
    Description: This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data for the products associated with this issue are based on the longitudinal Postsecondary Student Information System (PSIS) administrative data files. Statistics Canada has derived a series of annual indicators of public postsecondary students including persistence rates, graduation rates, and average time to graduation by educational qualification, field of study, age group and gender for Canada, the provinces, and the three combined Territories.
    Release date: 2024-12-11

  • Surveys and statistical programs – Documentation: 37-20-0001
    Description: These reference guides are intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The guide provides an overview of the Postsecondary Student Information System (PSIS) and the Registered Apprenticeship Information System (RAIS), the general methodology used to create longitudinal indicators, and important technical information for users.
    Release date: 2024-12-11

  • Surveys and statistical programs – Documentation: 11-633-X2024005
    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.
    Release date: 2024-12-06

  • Classification: 65-209-X
    Description: The Canadian Export Classification is a structured, hierarchical classification system based on the Harmonized Description and Coding System. The HS nomenclature is divided into 21 Sections, which in general, group goods produced in the same sector of the economy.
    Release date: 2024-12-05
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