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

Description: This interactive data visualization dashboard gives users access to the latest released data and the historical data related to rail freight transport in Canada with a focus on monthly statistics.

Description: The "Frontier Counts: Interactive Dashboard" provides access to data on the number of border crossings in an interactive and customizable format. The counts include only those travelling for tourism-related purposes. The dashboard includes four visualizations: leading indicator of air arrivals, leading indicator of land arrivals, returning Canadians, and visitors to Canada.

Description: Historical monthly release of Canadian Sales of goods manufactured (shipments), new orders, unfilled orders, inventories, raw materials, goods or work in process, finished goods, and inventory to sales ratios for durable and non-durable goods by North American Industry Classification System (NAICS) for reference periods January 2002 to the current reference month. Not all combinations are available. Values are in constant dollars.

Description:

Historical monthly release of capacity utilization rates for Canadian manufacturers by North American Industry Classification System (NAICS), from January 2017 to the current reference month.

Description:

Historical monthly release of Canadian Sales of goods manufactured (shipments), new orders, unfilled orders, raw materials, goods or work in process, finished goods, total inventories, inventory to sales ratios and finished goods to sales ratios by North American Industry Classification System (NAICS), for reference periods January 2013 to the current reference month.

Description:

Historical monthly release of provincial and territorial manufacturing sales, by North American Industry Classification System (NAICS), data in thousands of dollars. Unadjusted and seasonally adjusted values available from January 2013 to the current reference month. Not all combinations are available.

Description:

Historical (real-time) releases of wholesale sales, price and volume, by North American Industry Classification System (NAICS). Data is seasonally adjusted and available on a monthly basis in dollars x 1,000,000.

Description:

Historical releases of wholesale 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: This web application provides access to data on the sales of food services and drinking places for Canada, provinces and territories. This dynamic application allows users to compare provincial and territorial data with interactive maps and charts. All data in this release are seasonally adjusted and expressed in current dollars.

Description:

This web application provides access to new housing prices data for Canada and 27 census metropolitan areas (CMA). The maps, charts and tables draw from information collected from respondents who provide information on Canada's new housing prices. The interactive dashboard allows users to visualize statistics on new housing prices' monthly and annual movements and on rankings by CMAs of the largest monthly price movements.

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:

Monthly gross new issues, retirements and net new issues of debt securities, including direct and guaranteed bonds, Treasury Bills, and Canada Bills, by geography for the Government of Canada. Also included historical data by security type (common stocks, preferred stocks, trust units, bonds, treasury bills, commercial paper, and term securitizations), and by issuer type (provincial, municipal, corporate, institutions, and foreign debtors).

Description:

Month-end Government of Canada direct bonds outstanding data by currency. Also included historical data by currency for provinces, municipalities, corporations and other institutions.

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:

New housing price index (NHPI). 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 (201612=100).

Description:

New housing price index (NHPI). 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 (201612=100).

Description: Seasonally adjusted receipts of monthly survey of food services and drinking places, by North American Industry Classification System (NAICS), monthly, for five months of data.

Description:

Weekly Itinerant aircraft movements (domestic, transborder and international), total of all Canadian airports with NAV CANADA towers.

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

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.

Description: We provide comparisons among three parametric methods for the estimation of participation probabilities and some brief comments on homogeneous groups and post-stratification.

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.

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.

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.

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.

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.

Description: Nonprobability samples emerge rapidly to address time-sensitive priority topics in different areas. These data are timely but subject to selection bias. To reduce selection bias, there has been wide literature in survey research investigating the use of propensity-score (PS) adjustment methods to improve the population representativeness of nonprobability samples, using probability-based survey samples as external references. Conditional exchangeability (CE) assumption is one of the key assumptions required by PS-based adjustment methods. In this paper, I first explore the validity of the CE assumption conditional on various balancing score estimates that are used in existing PS-based adjustment methods. An adaptive balancing score is proposed for unbiased estimation of population means. The population mean estimators under the three CE assumptions are evaluated via Monte Carlo simulation studies and illustrated using the NIH SARS-CoV-2 seroprevalence study to estimate the proportion of U.S. adults with COVID-19 antibodies from April 01-August 04, 2020.

Description: Our comments respond to discussion from Sen, Brick, and Elliott. We weigh the potential upside and downside of Sen’s suggestion of using machine learning to identify bogus respondents through interactions and improbable combinations of variables. We join Brick in reflecting on bogus respondents’ impact on the state of commercial nonprobability surveys. Finally, we consider Elliott’s discussion of solutions to the challenge raised in our study.

Description:

This Canadian Consumer Price Index (CPI) Reference Paper provides an overview the Canadian CPI. It is intended for a varied audience, ranging from users interested in general information to those requiring more technical or theoretical details. As such, it explains all the important aspects of the Canadian CPI: uses and interpretations, scope, classifications, sample strategy, price collection, index calculation, quality change, weights, basket updates, reliability and uncertainty, special cases and treatments and history.

Description: This document introduces and describes updates to the Labour Force Survey estimates in January 2023. These updates include the transition to National Occupational Classification (NOC) 2021 as well as enhancements to the LFS data processing system.

Description:

This paper introduces and explains modifications made to the Labour Force Survey estimates.

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.

Description:

As is the case in advance of each Census, content consultations are being held with data users. The Census Content Consultation Guide gives you the opportunity to provide input.

Description: This reference guide provides information to help users effectively use and interpret income 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: This reference guide provides information to help users effectively use and interpret education 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: The Guide to the Census of Population is a reference document that describes the various phases of the 2021 Census of Population. The guide provides an overview of content determination, sampling design, collection, data processing, data quality assessment, confidentiality guidelines and dissemination. It also includes response rates and other data quality information. This product may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the 2021 Census of Population.

Description: The Census Dictionary is a reference document which contains detailed definitions of Census of Population concepts, variables and geographic terms, as well as historical information.

By referring to the Census Dictionary, both beginner and intermediate data users will gain a better understanding of the data and how to compare variables between census years.

The Census Dictionary will be released iteratively starting with geography and non-data dependent topic definitions, tables, figures and appendices with additional content made available based on subsequent topic releases.

Description:

The Guide to the Census of Population is a reference document that describes the various phases of the 2021 Census of Population. The guide provides an overview of content determination, sampling design, collection, data processing, data quality assessment, confidentiality guidelines and dissemination. It also includes response rates and other data quality information. This product may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the 2021 Census of Population.

The Guide to the Census of Population combines information previously available in the Overview of the Census, National Household Survey User Guide and the Data Quality and Confidentiality Standards and Guidelines from 2011.