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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.

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Historical releases of wholesale trade inventories, available for all members under release, adjustments and North American Industry Classification System (NAICS) dimensions, available on a monthly basis, for Canada, in dollars x 1,000.

Description: Monthly railway industry carloading statistics for intermodal and non-intermodal traffic in metric tonnes, for the period from January to the most current month of the current year, Canada, Eastern Division and Western Division.

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Monthly railway industry carloading statistics for non-intermodal traffic, total number carloads and metric tonnes, for the period from January to the most current month of the current year, Canada, Eastern Division and Western Division.

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International travel by non-Canadian visitors coming to Canada for a trip. Data come from Frontier Counts, part of the Tourism Statistics Program.

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International travel by non-Canadian visitors coming to Canada for a trip. Seasonally-adjusted data come from Frontier Counts, part of the Tourism Statistics Program.

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International travel to Canada by automobile (car), motorcycle, truck or other land vehicle, by port of entry (border crossing). Data come from Frontier Counts, part of the Tourism Statistics Program.

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International travel by non-Canadians visitors coming to Canada for a trip, by Canadians returning from a visit abroad and by other non-tourism travellers (e.g. crew), by port of entry (e.g. airport, border crossing). This table includes breakdowns by mode of transportation (e.g. plane, automobile (car), boat) and by duration (same-day, overnight). Data come from Frontier Counts, part of the Tourism Statistics Program.

Description:

International travel by non-Canadians visitors coming to Canada for a trip, by Canadians returning to Canada from a visit abroad and by other non-tourism travellers. This table includes breakdowns by mode of transportation (e.g. plane, automobile (car)) and by duration (same-day, overnight). Seasonally-adjusted data come from Frontier Counts, part of the Tourism Statistics Program.

Description: International travel by non-Canadians visitors coming to Canada for a trip, by port of entry (e.g. airport, border crossing). This table includes breakdowns by mode of transportation (air, land, water), by arrival type and by duration (same-day, overnight). Data come from Frontier Counts, part of the Tourism Statistics Program.

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: 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 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: 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.

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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.

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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.

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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.

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Financial information of colleges, type of revenues by geography and type of funds.

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Financial information of universities, type of expenditures by geography and type of funds.

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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: Approximately one in four individuals in Canada is currently or has been a landed immigrant or permanent resident. From 2016 to 2021, about 1.3 million new immigrants arrived in Canada and accounted for 80% of the growth in the labour force. Alongside increases in immigrants, there has been a rise in same-sex couples within Canada. This study explores select sociodemographic and economic characteristics of immigrants in same-sex couples compared with their counterparts in opposite-sex couples from 2000 to 2020.

Description: This study presents an updated sociodemographic profile of children aged 0 to 14 years with affirmative responses largely based on parent reports to the questions on the 2021 Census long-form questionnaire about difficulties with activities of daily living.

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

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

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.

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:

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

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 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:

This guide focuses on the following topic: education. This reference guide provides information that enables users to effectively use, apply and interpret data from the 2016 Census. This guide contains definitions and explanations of concepts, classifications, data quality and comparability to other sources. Additional information is included for specific variables to help general users better understand the concepts and questions used in the census.

Description:

This reference guide provides information to help users effectively use and interpret language 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 commuting 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.