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Description: These static thematic maps provide the spatial density distribution of specific Census of Agriculture data themes by census division (CD). The data portrayed in these maps may be qualitative (e.g., predominant farm types) or quantitative (e.g., livestock inventory variation between the last two censuses).

This product is provided in printable format.

Description: These static thematic maps provide the spatial density distribution of specific Census of Agriculture data themes by census division (CD). The data portrayed in these maps may be qualitative (e.g., predominant farm types) or quantitative (e.g., livestock inventory variation between the last two censuses).

This product is provided in printable format.

Description: The COVID-19 lockdowns early in the pandemic had significant impacts on employment in both Canada and the United States. Post-COVID-19, the labour markets have behaved quite differently in their recovery phases. While there have been some similarities, especially by industry, there have been some stark differences as well. This paper examines the differences between the two labour markets post-lockdown by comparing the employment recovery of the various industries, the labour force participation rates, and labour churn.

Description: Most PhD (Doctor of Philosophy) graduates from Canadian universities work outside academia, but little is known about the nature of these jobs. This study examines the types of jobs held by doctoral graduates who worked outside academia. In addition to examining occupations, the study focuses on analyzing the task content of those jobs.

Description: Immigrant integration is a multidimensional concept that spans economic, social and political contexts, and should include the psychological well-being of its subject. This study compares the perceptions held by immigrants and Canadian-born people of shared democratic values—such as human rights, gender equality, and ethnic and cultural diversity—in Canadian society.

Description: In recent years, Statistics Canada has released data and analysis on business ownership by women and persons with disabilities. Furthermore, in an effort to continue to fill the information gap on business ownership by employment equity groups and better inform policy making, Statistics Canada has released, for the first time, time series on Indigenous-owned businesses by sex of ownership and other characteristics such as age of primary owner and province of operation.

Description:

Businesses are aiming to retain employees in order to keep up with increased supply and demand pressures. Based on the results of the Canadian Survey on Business Conditions, most businesses were likely to expect obstacles regarding the retention of current staff as well as the recruitment of new staff in order to fill vacant positions they may be experiencing. Almost half of businesses foresee rising costs of inputs and labour to be an obstacle in addressing staffing challenges. This article provides insights on the topics of challenges of hiring and vacant positions.

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The 2021 Census of Agriculture collected data on Canadian potatoes. This infographic highlights a part of the potato value chain by using data from various sources.

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The prevalence of diabetes mellitus in adults is increasing in Canada and worldwide, due to population aging as well as various social, environmental, and genetic factors. The objective of this study was to examine different individual and neighbourhood characteristics and their independent associations with risk of hospitalization for diabetes (type 1 or type 2) and selected commonly comorbid conditions among the high-risk Canadian adult population.

Description:

Strong, positive relationships are critical to the healthy development of adolescents in their transition to adulthood. Using 2017/2018 reports from the nationally representative Health Behaviour in School-aged Children study, this study examined the strength, consistency and significance of associations between “intensive” social media use (frequent use to connect with other people) and “problematic” social media use (use that depicts addictive qualities) and available measures of adolescent relationships and connections.

Description: GeoSuite is a powerful interactive search tool based on Census of Population geographic areas. It allows users to search and retrieve data, explore and obtain information about geographic areas, and produce data tables. The information available includes the population and dwelling counts from the 2006 census to the most recent, as well as representative point coordinates, land area, geographic codes, and names.

A reference guide is available (GeoSuite Data Package, Reference Guide, 92-150-G).

Description: This interactive dashboard provides access to current and historical data for the Residential Property Price Index (RPPI), and its sub-components (new and resale houses and condominium apartments) for the census metropolitan areas (CMA) of Montréal, Ottawa, Toronto, Calgary, Vancouver, Victoria and a 6 CMA composite, in a dynamic and customizable format. It allows users to view the index series, quarter-over-quarter and year-over-year percent changes, as well as the largest increases and decreases for the current period. Additionally, users can also view percent changes by weight and geography. This web-based application is updated quarterly.

Description:

This series presents environmental data and information using maps and graphics. It will include thematic maps linked to the report Human Activity and the Environment (16-201-X), as well as maps and other graphic visual representations of information related to environmental accounts, environmental surveys and other research related to environmental statistics.

Description:

Human Activity and the Environment (16-201-X) focuses on current environmental issues. The latest information and statistics are gathered from many sources to produce an in-depth analytical article.

Description: This product provides thematic maps associated with Human Activity and the Environment, 2021, covering various aspects of ecosystem accounts, including ecosystem extent and condition. The maps are based on the principles of ecosystem accounting and use multiple datasets from a variety of sources.

Description: This interactive dashboard provides an overview of civil courts and maintenance enforcement programs in Canada. The dashboard features statistics on civil law and family law cases, maintenance enforcement case enrollments, as well as compliance with support payments.

Description:

Statistical inference with non-probability survey samples is a notoriously challenging problem in statistics. We introduce two new methods of nonparametric propensity score technique for weighting in the non-probability samples. One is the information projection approach and the other is the uniform calibration in the reproducing kernel Hilbert space.

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This response contains additional remarks on a few selected issues raised by the discussants.

Description:

Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of the most widely used MI algorithms for multivariate data, but it lacks theoretical foundation and is computationally intensive. Recently, missing data imputation methods based on deep learning models have been developed with encouraging results in small studies. However, there has been limited research on evaluating their performance in realistic settings compared to MICE, particularly in big surveys. We conduct extensive simulation studies based on a subsample of the American Community Survey to compare the repeated sampling properties of four machine learning based MI methods: MICE with classification trees, MICE with random forests, generative adversarial imputation networks, and multiple imputation using denoising autoencoders. We find the deep learning imputation methods are superior to MICE in terms of computational time. However, with the default choice of hyperparameters in the common software packages, MICE with classification trees consistently outperforms, often by a large margin, the deep learning imputation methods in terms of bias, mean squared error, and coverage under a range of realistic settings.

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Multilevel time series (MTS) models are applied to estimate trends in time series of antenatal care coverage at several administrative levels in Bangladesh, based on repeated editions of the Bangladesh Demographic and Health Survey (BDHS) within the period 1994-2014. MTS models are expressed in an hierarchical Bayesian framework and fitted using Markov Chain Monte Carlo simulations. The models account for varying time lags of three or four years between the editions of the BDHS and provide predictions for the intervening years as well. It is proposed to apply cross-sectional Fay-Herriot models to the survey years separately at district level, which is the most detailed regional level. Time series of these small domain predictions at the district level and their variance-covariance matrices are used as input series for the MTS models. Spatial correlations among districts, random intercept and slope at the district level, and different trend models at district level and higher regional levels are examined in the MTS models to borrow strength over time and space. Trend estimates at district level are obtained directly from the model outputs, while trend estimates at higher regional and national levels are obtained by aggregation of the district level predictions, resulting in a numerically consistent set of trend estimates.

Description:

Two-phase sampling is a cost effective sampling design employed extensively in surveys. In this paper a method of most efficient linear estimation of totals in two-phase sampling is proposed, which exploits optimally auxiliary survey information. First, a best linear unbiased estimator (BLUE) of any total is formally derived in analytic form, and shown to be also a calibration estimator. Then, a proper reformulation of such a BLUE and estimation of its unknown coefficients leads to the construction of an “optimal” regression estimator, which can also be obtained through a suitable calibration procedure. A distinctive feature of such calibration is the alignment of estimates from the two phases in an one-step procedure involving the combined first-and-second phase samples. Optimal estimation is feasible for certain two-phase designs that are used often in large scale surveys. For general two-phase designs, an alternative calibration procedure gives a generalized regression estimator as an approximate optimal estimator. The proposed general approach to optimal estimation leads to the most effective use of the available auxiliary information in any two-phase survey. The advantages of this approach over existing methods of estimation in two-phase sampling are shown both theoretically and through a simulation study.

Description:

In many applications, the population means of geographically adjacent small areas exhibit a spatial variation. If available auxiliary variables do not adequately account for the spatial pattern, the residual variation will be included in the random effects. As a result, the independent and identical distribution assumption on random effects of the Fay-Herriot model will fail. Furthermore, limited resources often prevent numerous sub-populations from being included in the sample, resulting in non-sampled small areas. The problem can be exacerbated for predicting means of non-sampled small areas using the above Fay-Herriot model as the predictions will be made based solely on the auxiliary variables. To address such inadequacy, we consider Bayesian spatial random-effect models that can accommodate multiple non-sampled areas. Under mild conditions, we establish the propriety of the posterior distributions for various spatial models for a useful class of improper prior densities on model parameters. The effectiveness of these spatial models is assessed based on simulated and real data. Specifically, we examine predictions of statewide four-person family median incomes based on the 1990 Current Population Survey and the 1980 Census for the United States of America.

Description: A variety of different factors impact the ability of Canadian businesses to operate, such as the geographical location of businesses, the industry the businesses operate in, and the size of businesses. Differences may also be apparent when looking at different categories of business owners, as different segments of the Canadian population face different challenges at a personal level, and as owners of businesses. From the beginning of October to early November 2022, Statistics Canada conducted the Canadian Survey on Business Conditions (CSBC) to collect information on the environment businesses are currently operating in and their expectations moving forward. This article explores results from the survey by looking at the businesses majority-owned by immigrants to Canada and businesses majority-owned by racialized persons. While there is some degree of crossover between these two sub-populations, they are two distinct groups and face different challenges. The information and trends presented in this article are based on data collected via the CSBC.

Description:

From October 3 to November 7 2022, Statistics Canada conducted the Canadian Survey on Business Conditions. The purpose of this survey is to collect information on businesses in Canada related to emerging issues. This infographic presents key results from this.

Description: Based on 2021 Census data, this infographic provides information on children eligible for instruction in the minority official language in Canada.

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As the seventh goal outlined in the 2030 Agenda for Sustainable Development, Canada and other UN member states have committed to ensure access to affordable, reliable, sustainable and modern energy for all by 2030. This 2022 infographic provides an overview of indicators underlying the seventh Sustainable Development Goal in support of affordable and clean energy, and the statistics and data sources used to monitor and report on this goal in Canada.

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These videos are part of the confidentiality vetting support series and present examples of how to use different statistical software packages to perform the analyses required for researchers working with confidential data.

Description: This video will provide viewers with a basic understanding of the differences between a private dwelling and a collective dwelling, the classification of private dwellings into regular and marginal dwellings and the classification of collective dwellings into institutional and non-institutional collective dwellings. Viewers will also learn about the method of enumeration of these dwellings.

Description: The census counts dwellings to associate people with a spatial unit and to publish counts of the dwellings themselves, along with information about dwelling characteristics. This video provides information about the different variables associated with dwellings such as Structural types of dwellings, Dwelling condition, Condominium status, Period of construction, Rooms and Bedrooms in a dwelling.

Description: The objective of this video is to provide an overview of a key indicator of the most basic demographic characteristics of the population - Age. This video explains the main concepts relating to age, the quantitative and qualitative aspect of the age variable and how age is used by the public and private sector to assess and meet social and business needs.

Description: This reference guide may be useful to both new and experienced users who wish to familiarize themselves with and find specific information about the Census of Agriculture.

It provides an overview of the Census of Agriculture communications, content determination, collection, processing, data quality evaluation and dissemination activities. It also summarizes the key changes to the census and other useful information.

Description: This fact sheet provides the context for the addition of the gender question on the 2021 Census, as well as the definitions related to gender and sex at birth. It also explains what gender-related information will be available in the April 27th, 2022 Census release.

Description: The North American Product Classification System (NAPCS) is the departmental standard for the classification of products (goods and services). The classification is a joint project of the national statistical agencies of Canada, Mexico and the United States. NAPCS is used to produce product statistics on a variety of topics, including the value of outputs of industries, the consumption by businesses and households, the value of imports and exports, and the movement of industrial and raw material prices. NAPCS Canada comprises definitions for all categories that include a descriptive text, as well as illustrative examples, inclusions and exclusions where appropriate.

Email: statcan.csds-standardsproducts-cnsd-normesproduits.statcan@statcan.gc.ca

Description:

This reference guide provides information to help users effectively use and interpret type of dwelling 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 age, sex at birth and gender 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 technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data products associated with this release are derived from integrating the longitudinal Registered Apprenticeship Information System (RAIS) 2008 to 2019 data with other administrative data. Statistics Canada has derived a series of indicators on the earnings of newly registered journeypersons by cohort size and selected trades, for Canada, all provinces and for grouped territories.