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All (24,410)

All (24,410) (40 to 50 of 24,410 results)

  • Table: 32-10-0358-01
    Geography: Canada, Province or territory
    Frequency: Annual
    Description: Seeded and harvested areas, production, amount sold (consumed or fed to livestock) and total farm value of potatoes.
    Release date: 2024-07-18

  • Table: 33-10-0530-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly non-bank outstanding residential mortgages by insurance status, amortization period, total debt service ratio, loan-to-value and, days in arrears, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

    Release date: 2024-07-18

  • Table: 33-10-0531-01
    Geography: Canada
    Frequency: Quarterly
    Description:

    Quarterly non-bank residential mortgages extended by type of increase and, (please remove the red comma after the word “and”) new funds advanced by term to maturity, by insurance status, by lender type and number of mortgages, displayed in thousands of dollars, unless otherwise specified.

    Release date: 2024-07-18

  • Journals and periodicals: 11-627-M
    Description: Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2024-07-18

  • Table: 10-10-0141-01
    Geography: Canada
    Frequency: Daily
    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; ...).
    Release date: 2024-07-18

  • Table: 10-10-0144-01
    Geography: Canada
    Frequency: Weekly
    Description: This table contains 8 series, with data starting from 1992 (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 (8 items: Bank rate; Treasury bill auction - average yields: 3 month; Treasury bill auction - average yields: 6 month; Treasury bill auction - average yields: 1 year; ...).
    Release date: 2024-07-18

  • Table: 34-10-0286-01
    Geography: Canada, Province or territory, Census metropolitan area, Census agglomeration, Census metropolitan area part
    Frequency: Monthly
    Description: The investment in residential and non-residential building construction represents the spending value of building construction by households, enterprises and governments for buildings.
    Release date: 2024-07-18

  • Table: 14-10-0004-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employment insurance benefit disqualifications and disentitlements by reason, last 5 months.
    Release date: 2024-07-18

  • Table: 14-10-0005-01
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employment insurance claims received by province and territory, last 5 months.
    Release date: 2024-07-18

  • Table: 14-10-0005-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employment insurance claims received and allowed, by province and territory and type of claim, last 5 months.
    Release date: 2024-07-18
Data (12,040)

Data (12,040) (20 to 30 of 12,040 results)

  • Table: 18-10-0266-02
    Geography: Canada
    Frequency: Monthly
    Description: Industrial product price index (IPPI), by product by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1956. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (202001=100).
    Release date: 2024-07-19

  • Table: 18-10-0266-03
    Geography: Canada
    Frequency: Monthly
    Description: This data table presents monthly data from the Industrial Product Price Index on food and beverage products, according to the North American Product Classification System 2017 Version 2.0. The base period for the index is (202001=100).
    Release date: 2024-07-19

  • Table: 18-10-0267-01
    Geography: Canada
    Frequency: Monthly
    Description:

    Industrial product price index (IPPI) by industry, by North American Industry Classification System (NAICS) 2017 Version 3.0. Monthly data are available from January 1956. The table presents data for the most recent reference period and the last four periods. The base period for the index is (202001=100).

    Release date: 2024-07-19

  • Table: 18-10-0267-02
    Geography: Canada
    Frequency: Monthly
    Description:

    Industrial product price index (IPPI) by industry, by North American Industry Classification System (NAICS) 2017 Version 3.0. Monthly data are available from January 1956. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (202001=100).

    Release date: 2024-07-19

  • Table: 18-10-0268-01
    Geography: Canada
    Frequency: Monthly
    Description: Raw materials price index (RMPI) by North American Product Classification System (NAPCS) 2017 Version 2.0. 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 (202001=100).
    Release date: 2024-07-19

  • Table: 18-10-0268-02
    Geography: Canada
    Frequency: Monthly
    Description: Raw materials price index (RMPI) by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1981. The table presents month-over-month and year-over-year percentage changes for various aggregation levels. The base period for the index is (202001=100).
    Release date: 2024-07-19

  • Table: 18-10-0268-03
    Geography: Canada
    Frequency: Monthly
    Description: Raw Materials Price Index (RMPI) for crop products, animals and animal products, by North American Product Classification System (NAPCS) 2017 Version 2.0. 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 (202001=100).
    Release date: 2024-07-19

  • Table: 18-10-0272-01
    Geography: Geographical region of Canada, Province or territory
    Frequency: Monthly
    Description:

    Industrial product price index (IPPI), for selected products, by region, by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods. The base period is (202001=100).

    Release date: 2024-07-19

  • Table: 18-10-0272-02
    Geography: Geographical region of Canada, Province or territory
    Frequency: Monthly
    Description:

    Industrial product price index (IPPI), for selected products, by region, by North American Product Classification System (NAPCS) 2017 Version 2.0. Monthly data are available from January 1971. The table presents month-over-month and year-over-year percentage changes. The base period is (202001=100).

    Release date: 2024-07-19

  • Table: 20-10-0056-01
    Geography: Canada, Province or territory, Census metropolitan area, Census metropolitan area part
    Frequency: Monthly
    Description:

    Retail trade, sales, Canada, provinces, territories and specific Census Metropolitan Areas based on the North American Industry Classification System (NAICS), monthly.

    Release date: 2024-07-19
Analysis (10,003)

Analysis (10,003) (50 to 60 of 10,003 results)

  • Stats in brief: 11-001-X202417822588
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26

  • Stats in brief: 11-001-X20241783389
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2024-06-26

  • Journals and periodicals: 12-001-X
    Geography: Canada
    Description: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100001
    Description: Inspired by the two excellent discussions of our paper, we offer some new insights and developments into the problem of estimating participation probabilities for non-probability samples. First, we propose an improvement of the method of Chen, Li and Wu (2020), based on best linear unbiased estimation theory, that more efficiently leverages the available probability and non-probability sample data. We also develop a sample likelihood approach, similar in spirit to the method of Elliott (2009), that properly accounts for the overlap between both samples when it can be identified in at least one of the samples. We use best linear unbiased prediction theory to handle the scenario where the overlap is unknown. Interestingly, our two proposed approaches coincide in the case of unknown overlap. Then, we show that many existing methods can be obtained as a special case of a general unbiased estimating function. Finally, we conclude with some comments on nonparametric estimation of participation probabilities.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100002
    Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100003
    Description: Beaumont, Bosa, Brennan, Charlebois and Chu (2024) propose innovative model selection approaches for estimation of participation probabilities for non-probability sample units. We focus our discussion on the choice of a likelihood and parameterization of the model, which are key for the effectiveness of the techniques developed in the paper. We consider alternative likelihood and pseudo-likelihood based methods for estimation of participation probabilities and present simulations implementing and comparing the AIC based variable selection. We demonstrate that, under important practical scenarios, the approach based on a likelihood formulated over the observed pooled non-probability and probability samples performed better than the pseudo-likelihood based alternatives. The contrast in sensitivity of the AIC criteria is especially large for small probability sample sizes and low overlap in covariates domains.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100004
    Description: Non-probability samples are being increasingly explored in National Statistical Offices as an alternative to probability samples. However, it is well known that the use of a non-probability sample alone may produce estimates with significant bias due to the unknown nature of the underlying selection mechanism. Bias reduction can be achieved by integrating data from the non-probability sample with data from a probability sample provided that both samples contain auxiliary variables in common. We focus on inverse probability weighting methods, which involve modelling the probability of participation in the non-probability sample. First, we consider the logistic model along with pseudo maximum likelihood estimation. We propose a variable selection procedure based on a modified Akaike Information Criterion (AIC) that properly accounts for the data structure and the probability sampling design. We also propose a simple rank-based method of forming homogeneous post-strata. Then, we extend the Classification and Regression Trees (CART) algorithm to this data integration scenario, while again properly accounting for the probability sampling design. A bootstrap variance estimator is proposed that reflects two sources of variability: the probability sampling design and the participation model. Our methods are illustrated using Statistics Canada’s crowdsourcing and survey data.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100005
    Description: In this rejoinder, I address the comments from the discussants, Dr. Takumi Saegusa, Dr. Jae-Kwang Kim and Ms. Yonghyun Kwon. Dr. Saegusa’s comments about the differences between the conditional exchangeability (CE) assumption for causal inferences versus the CE assumption for finite population inferences using nonprobability samples, and the distinction between design-based versus model-based approaches for finite population inference using nonprobability samples, are elaborated and clarified in the context of my paper. Subsequently, I respond to Dr. Kim and Ms. Kwon’s comprehensive framework for categorizing existing approaches for estimating propensity scores (PS) into conditional and unconditional approaches. I expand their simulation studies to vary the sampling weights, allow for misspecified PS models, and include an additional estimator, i.e., scaled adjusted logistic propensity estimator (Wang, Valliant and Li (2021), denoted by sWBS). In my simulations, it is observed that the sWBS estimator consistently outperforms or is comparable to the other estimators under the misspecified PS model. The sWBS, as well as WBS or ABS described in my paper, do not assume that the overlapped units in both the nonprobability and probability reference samples are negligible, nor do they require the identification of overlap units as needed by the estimators proposed by Dr. Kim and Ms. Kwon.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100006
    Description: In some of non-probability sample literature, the conditional exchangeability assumption is considered to be necessary for valid statistical inference. This assumption is rooted in causal inference though its potential outcome framework differs greatly from that of non-probability samples. We describe similarities and differences of two frameworks and discuss issues to consider when adopting the conditional exchangeability assumption in non-probability sample setups. We also discuss the role of finite population inference in different approaches of propensity scores and outcome regression modeling to non-probability samples.
    Release date: 2024-06-25

  • Articles and reports: 12-001-X202400100007
    Description: Pseudo weight construction for data integration can be understood in the two-phase sampling framework. Using the two-phase sampling framework, we discuss two approaches to the estimation of propensity scores and develop a new way to construct the propensity score function for data integration using the conditional maximum likelihood method. Results from a limited simulation study are also presented.
    Release date: 2024-06-25
Reference (1,892)

Reference (1,892) (0 to 10 of 1,892 results)

  • Surveys and statistical programs – Documentation: 73-506-G
    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.
    Release date: 2024-07-18

  • Surveys and statistical programs – Documentation: 72-212-X
    Description: Data on income of census families, individuals and seniors are derived from income tax returns. The data for the products associated with this release are derived from the T1 file that Statistics Canada receives from Canada Revenue Agency (CRA) thirteen months after the end of the taxation year.
    Release date: 2024-06-27

  • Surveys and statistical programs – Documentation: 72-212-X2024001
    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.
    Release date: 2024-06-27

  • Geographic files and documentation: 92-162-G
    Description: This reference guide is intended for users of the Census Subdivisions Boundary File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.
    Release date: 2024-06-26

  • Geographic files and documentation: 92-162-X
    Description: The Census Subdivision Boundary File contains the boundaries of all census subdivisions which combined cover all of Canada. A census subdivision is a municipality or an area treated as an equivalent to a municipality for statistical purposes (for example, Indian reserves and unorganized territories). The file provides a framework for mapping and spatial analysis using commercially available geographic information systems (GIS) or other mapping software.

    The Census Subdivision Boundary File is portrayed in Lambert conformal conic projection and is based on the North American Datum of 1983 (NAD83). A reference guide is available (92-162-G).

    Release date: 2024-06-26

  • Geographic files and documentation: 92-500-G
    Description: This reference guide is intended for users of the Road Network File. The guide provides an overview of the file, the general methodology used to create it, and important technical information for users.
    Release date: 2024-06-26

  • Geographic files and documentation: 92-500-X
    Geography: Canada
    Description: The Road Network File (RNF) is a digital representation of Canada's national road network, containing information such as street names, types, directions and address ranges. The information comes from the National Geographic Database (NGD).

    A reference guide is available (92-500-G).

    Release date: 2024-06-26

  • Notices and consultations: 92F0009X
    Description: This report provides a summary of changes to municipal boundaries, status and names. The list is usually produced on an annual basis for changes that occurred during the previous year. A five year list is produced on Census of population years.
    Release date: 2024-06-26

  • Surveys and statistical programs – Documentation: 91-620-X
    Description: This report aims to describe the methods used for the calculation of projection parameters, the various projection assumptions and their rationales.
    Release date: 2024-06-24

  • Surveys and statistical programs – Documentation: 75-514-G
    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.
    Release date: 2024-06-18
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