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Description:

Staying apart from their parents and grandparents has been one of the hardest adjustments that Canadians have had to deal with since the start of the COVID-19 pandemic, the older population being at greater risk of infection and death from this disease. For months, most of them followed the quarantine rules, by staying home and adapting their behaviours to the infectious nature of the COVID-19. While before the outbreak visiting with one's parents was a relatively simple decision, it has since become a more delicate one. Studies have attempted to assess the risk of the virus transmission based on the frequency of intergenerational in-person contacts before the physical distancing recommendations were implemented.

This infographic provides a snapshot of the frequency and the duration of visits between adult children and their parent(s) in Canada. The results refer to Canadians who were aged 25 to 64, who were not living with their parents, and who had at least one biological or adoptive parent alive at the time of the surveys.

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This infographic provides a snapshot of the net worth of Canadian families by province and family type in 2019. In addition, there's a focus on the most common asset and debt holdings of families. This infographic uses data from the Survey of Financial Security.

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This article contributes to a series studies of COVID-19 impact on Canadian industries, with focus on the Retail Services Price Index (RSPI). The study analyzes the movements of RSPI during 2020 pandemic by subsectors, including clothing stores, grocery stores, and electronic stores, etc. It also compares different responses of retail sectors during 2020 pandemic and during 2008-2009 recession. Based on the in-depth analysis, the article also provides an outlook of the price index trend for the year 2020.

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The COVID-19 pandemic has had unprecedented impacts on many key aspects of life, such as health, social connections, mobility, employment and incomes. Life satisfaction provides the best available umbrella measure of the combined effects of these changes on the well-being of Canadians. Using population-representative samples from two Statistics Canada surveys, this study compares the life satisfaction of Canadians before and during the COVID-19 pandemic.

Description:

This Juristat article provides a statistical overview of adults and youth admitted to and released from custody and community supervision in Canada in 2018/2019. Analysis is presented at the national as well as the provincial and territorial levels. Average counts and the incarceration rates are presented. Admissions and the characteristics of adults and youth in the correctional system (such as age, sex and Aboriginal identity) are also discussed.

Description:

The COVID-19 pandemic has had unprecedented impacts on many key aspects of life, such as health, social connections, mobility, employment and incomes. Life satisfaction provides the best available umbrella measure of the combined effects of these changes on the well-being of Canadians. Using population-representative samples from the 2018 Canadian Community Health Survey and the June 2020 Canadian Perspectives Survey Series, this study uses these data to compare life satisfaction in Canada before and during the pandemic, drawing comparisons across the population as a whole and among different regions and demographic groups.

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In the past, the Bank of Canada (the Bank) and Statistics Canada both produced aggregate measures of borrowing, or credit, for sectors of the Canadian economy. The Statistics Canada measures were on a quarterly basis as part of the National Balance Sheet Accounts (NBSA) whereas the Bank of Canada published monthly statistics. While both estimates are drawn from the same data sources and paint a similar picture of the indebtedness of Canadian households and non-financial businesses, some reconcilable differences existed in the aggregate measures. Starting in December 2020 Statistics Canada will be producing monthly estimates that will be integrated into the larger NBSA framework. This will provide users with a single and consistent set of monthly estimates that align with the internationally recognized national accounting principles detailed in the United Nations System of National Accounts This guide will serve as a review of the historical differences between each organization's credit aggregates, the conceptual and statistical changes that will occur as a result of the integration of monthly estimates within the NBSA, and a detailed overview of the methods that will be employed to estimate the outstanding credit debt of households and non-financial private corporations by lending sector.

Description:

Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This research paper highlights experimental methods designed to measure the impact of the pandemic on month-by-month family income trends of Canadians long before detailed annual statistics become available. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. The objective is to shed light on the impact of labour market disruptions on Canadians and their families and the extent to which emergency benefits introduced by the government offset these disruptions. This paper describes the data sources used, estimation strategies employed, initial results, limitations, and potential future developments.

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This study assessed the association between household food insecurity and self-perceived mental health status and anxiety symptoms among Canadians in the early months of the COVID-19 pandemic.

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This study quantified prevalence trends of annually reported major depressive episodes, anxiety disorders, and comorbid major depressive episodes and anxiety disorders among working-age Canadians by labour force status between 2000 and 2016.

Description: This report is a product of the Pan-Canadian Education Indicators Program (PCEIP). It is intended to facilitate the comparison of educational systems in Canada's provinces and territories with those of countries that belong to the Organisation for Economic Co-operation and Development (OECD). The document presents a series of indicators harmonized to the definitions and methodologies used by the OECD in Education at a Glance. The indicators are designed to serve as a basis for decision making and for development of programs in the field of education.

PCEIP is an ongoing initiative of the Canadian Education Statistics Council: a partnership between Statistics Canada and the Council of Ministers of Education, Canada, that provides a set of statistical measures on education systems.

Description:

This interactive data visualization tool features characteristics of students enrolled in, or graduating from, postsecondary programs offered in public postsecondary institutions in Canada (such as gender and status of student in Canada). It also provides an overview of program characteristics based on the International Standard Classification of Education (ISCED 2011) and on the Classification of Instructional Programs (CIP Canada 2016 cannabis variant) STEM/BHASE groupings.

Description: The Open Database of Cultural and Art Facilities (ODCAF) is a listing of cultural and art facilities across Canada. Facilities are classified in to one of the following nine types: art or cultural centre, festival site, gallery, heritage or historic site, library or archive, museum, theatre/performance and concert hall, and miscellaneous.

The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source. The ODCAF is based on data from authoritative sources that include among them provincial, territorial and municipal governments, and professional associations.

The ODCAF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.

Description: The Open Database of Healthcare Facilities (ODHF) is a listing of healthcare facilities across Canada. Facilities are classified into one of three types: ambulatory health care services, hospitals, and nursing and residential care facilities. The listing contains the names, addresses, and geo coordinates of facilities, as well as the facility type as assigned in the data source.

The ODHF is based on data from authoritative sources that include among them all levels of government and public health and professional healthcare bodies. The ODHF is released as open data under the Open Government License - Canada and provided as a zipped comma-separated values (.csv) file.

Description:

This product describes the similarities and differences between two sets of United Nations (UN) guidelines for greenhouse gas (GHG) emissions: the United Nations System of Environmental-Economic Accounts (SEEA) and the United Nations Framework Convention on Climate Change (UNFCCC). Statistics Canada's Greenhouse Gas Account is compiled based on the SEEA guidelines, while the National GHG Inventory is prepared by Environment and Climate Change Canada in accordance with the UNFCCC.

Description:

This product enhances the industrial detail available for the agricultural and agri-food manufacturing sector within the national accounting framework. This detail allows users to analyze the supply and use of products across a broader range of farming and processing activities as well as facilitate the comparison of economic relationships and impacts across more industries than is possible in the core supply and use tables.

Description:

An efficient and modern transportation system has always been key to supporting a strong and competitive economy, and improving Canadians' quality of life. The Transportation Data and Information Hub (TDIH) provides easy access to a comprehensive, timely and accessible source of multimodal transportation data and transportation system performance measures. The TDIH aims to facilitate discussions and foster collaboration among key stakeholders from both the public and private sectors. The goal of the TDIH is to identify synergies and efficiencies that support effective decision-making in Canada, and ensure that the transportation system continues to contribute towards building a strong economy.

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The activity indicators draw from a variety of data sources to provide information on Canada's transportation system. The indicators are presented in a data table and are updated monthly.

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The performance indicators draw from a variety of data sources to provide information on how Canada's transportation system is performing. The indicators are presented in a data table and are updated monthly.

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These are a series of tabulations of census data, featuring two or three inter-related variables that deal with specific characteristics of people, families or households, or with a characteristic of Canadian dwellings.

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A summary of methodological treatments as applied to the November 2020 Consumer Price Index (CPI) in response to the effects of the COVID-19 pandemic on price collection, price availability, and business closure.

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This paper constructs a probability-proportional-to-size (PPS) ranked-set sample from a stratified population. A PPS-ranked-set sample partitions the units in a PPS sample into groups of similar observations. The construction of similar groups relies on relative positions (ranks) of units in small comparison sets. Hence, the ranks induce more structure (stratification) in the sample in addition to the data structure created by unequal selection probabilities in a PPS sample. This added data structure makes the PPS-ranked-set sample more informative then a PPS-sample. The stratified PPS-ranked-set sample is constructed by selecting a PPS-ranked-set sample from each stratum population. The paper constructs unbiased estimators for the population mean, total and their variances. The new sampling design is applied to apple production data to estimate the total apple production in Turkey.

Description:

In many large-scale surveys, estimates are produced for numerous small domains defined by cross-classifications of demographic, geographic and other variables. Even though the overall sample size of such surveys might be very large, samples sizes for domains are sometimes too small for reliable estimation. We propose an improved estimation approach that is applicable when “natural” or qualitative relationships (such as orderings or other inequality constraints) can be formulated for the domain means at the population level. We stay within a design-based inferential framework but impose constraints representing these relationships on the sample-based estimates. The resulting constrained domain estimator is shown to be design consistent and asymptotically normally distributed as long as the constraints are asymptotically satisfied at the population level. The estimator and its associated variance estimator are readily implemented in practice. The applicability of the method is illustrated on data from the 2015 U.S. National Survey of College Graduates.

Description:

We combine weighting and Bayesian prediction in a unified approach to survey inference. The general principles of Bayesian analysis imply that models for survey outcomes should be conditional on all variables that affect the probability of inclusion. We incorporate all the variables that are used in the weighting adjustment under the framework of multilevel regression and poststratification, as a byproduct generating model-based weights after smoothing. We improve small area estimation by dealing with different complex issues caused by real-life applications to obtain robust inference at finer levels for subdomains of interest. We investigate deep interactions and introduce structured prior distributions for smoothing and stability of estimates. The computation is done via Stan and is implemented in the open-source R package rstanarm and available for public use. We evaluate the design-based properties of the Bayesian procedure. Simulation studies illustrate how the model-based prediction and weighting inference can outperform classical weighting. We apply the method to the New York Longitudinal Study of Wellbeing. The new approach generates smoothed weights and increases efficiency for robust finite population inference, especially for subsets of the population.

Description:

This article proposes a weight scaling method for Firth’s penalized likelihood for proportional hazards regression models. The method derives a relationship between the penalized likelihood that uses scaled weights and the penalized likelihood that uses unscaled weights, and it shows that the penalized likelihood that uses scaled weights have some desirable properties. A simulation study indicates that the penalized likelihood using scaled weights produces smaller biases in point estimates and standard errors than the biases produced by the penalized likelihood using unscaled weights. The weighted penalized likelihood is applied to estimate hazard rates for heart attacks by using a public-use data set from the National Health and Epidemiology Followup Study (NHEFS). SAS® statements to estimate hazard rates using data from complex surveys are given in the appendix.

Description:

In surveys, text answers from open-ended questions are important because they allow respondents to provide more information without constraints. When classifying open-ended questions automatically using supervised learning, often the accuracy is not high enough. Alternatively, a semi-automated classification strategy can be considered: answers in the easy-to-classify group are classified automatically, answers in the hard-to-classify group are classified manually. This paper presents a semi-automated classification method for multi-label open-ended questions where text answers may be associated with multiple classes simultaneously. The proposed method effectively combines multiple probabilistic classifier chains while avoiding prohibitive computational costs. The performance evaluation on three different data sets demonstrates the effectiveness of the proposed method.

Description:

Using data collected in 2018 from the Survey of Safety in Public and Private Spaces, this article identifies areas of vulnerability to disproportionate impacts of COVID-19 on the LGBTQ2+ (lesbian, gay, bisexual, transgender, queer, Two-spirit and other diverse sexual and gender identities) population. Pre-pandemic differences in secure attachment to housing and financial security relative to the cisgender heterosexual (non-LGBTQ2+) population, could mean that LGBTQ2+ Canadians will have more difficulty coping with the additional social and economic stressors of COVID-19.

Description: Efforts to make a transition to a low carbon economy have raised concerns that workers displaced from traditional energy-producing sectors might experience substantial earnings declines after job loss.

Using data from a rich administrative dataset, this study documents the employment and earnings trajectories of coal miners who were displaced during the late 1990s and the 2000s.

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Using data from the third web panel survey, the Canadian Perspective Survey Series 3: Resuming Economic and Social Activities during COVID-19, conducted from June 15 to 21, 2020, this study examines gender differences in the self-reported division of parental tasks during the pandemic.

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This study examines businesses' demand for personal protective equipment, and concerns about lack of supply, using new data for October 2020 from the Personal Protective Equipment Survey.

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The Guide to the Job Vacancy and Wage Survey contains a dictionary of concepts and definitions, and includes topics such as survey methodology, data collection, processing, and data quality.

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Ever wanted to create your own maps, or integrate and visualize datasets to examine changes between locations and over time, or assess relations between variables? Geographic Information Systems (GIS) are the go-to programs for processing, integrating and visualizing spatial data, and conveying information in a widely-accessible and intuitive format. Follow along with these tutorials and learn the key concepts and procedures for performing common GIS tasks - such as creating maps, joining and overlaying datasets, and examining spatial variations.

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In this follow up QGIS tutorial on geoprocessing tools, we’ll use the Dissolve and Aggregate tools with the riparian land-cover layer to examine the distribution of different land-cover classes over the entire clip area and by specific watershed respectively.

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This QGIS tutorial provides an introduction to raster datasets, covering procedures for processing, exporting and visualizing these datasets – demonstrated with the single-band Digital Elevation Model (DEM) rasters downloaded from Open Maps.

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In this follow-up QGIS tutorial on raster data we’ll explore common tools and derivatives of Digital Elevation Models (DEMs) and show how to use the Raster Calculator to select and combine rasters.

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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 2018 data with other administrative data. Statistics Canada has derived a series of indicators on the pathways of newly registered journeypersons by cohort size and selected trades, for Canada, all provinces and for grouped territories.

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This QGIS tutorial covers semi-automated mapping over multiple areas of interest using a coverage layer, which defines the map areas, and the Atlas Panel in the Print Layout window. These procedures facilitate rapidly generating maps - reducing manual efforts in production.

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This QGIS tutorial introduces geoprocessing tools – which are used to overlay and combine layers based on their spatial distributions.

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In this two-part QGIS demo we’ll cover procedures for creating maps in the Print Layout - a separate window from the main interface. Follow along as we demonstrate accessing the Print Layout, navigating the available tools and panels, as well as adding and formatting mandatory map items with the joined census division and population layers created in Demo 12.

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In this follow-up tutorial, we’ll add some additional map items and then export the map begun in Part I. Follow along as we show the procedures for adding and formatting optional items such as inset (or overview) maps, numeric scale-bars, logos and attribute tables, as well as the available formats for exporting.