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Description:

This report uses immigrant data series from the Labour Force Survey to provide a description of immigrants' labour-market outcomes, from 2006 to 2017.

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This series of analytical reports provides an overview of the Canadian labour market experiences of immigrants to Canada, based on data from the Labour Force Survey. These reports examine the labour force characteristics of immigrants, by reporting on employment and unemployment at the Canada level, for the provinces and large metropolitan areas. They also provide more detailed analysis by region of birth, as well as in-depth analysis of other specific aspects of the immigrant labour market.

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The 2008 financial crisis demonstrated how quickly economic shocks can spread between sectors and countries, making it apparent that the existing set of macroeconomic statistics contained gaps for identifying such systemic issues. Users therefore require new products from the System of National Accounts that demonstrate the financial linkages between sectors in the economy. The Special Data Dissemination Plus (SDDS+) and G20 Data Gaps initiatives were established by the International Monetary Fund (IMF) to address some of these data gaps, and presented specific recommendations to G20 countries. One of these recommendations asks statistical agencies to begin compiling more detailed data on the interconnectedness of the economy by incorporating a "From-Whom-To-Whom" (FWTW) framework. This FWTW framework includes statistics that make counterparty information explicit, showing how various sectors of the economy are connected by financial interdependencies. In other words, the data presented on this new basis allows users to answer the question "whom is funding whom and with what financial instruments". In this visualisation tool, we present six instruments on a FWTW basis in a fully customizable pivot table.

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This article presents the history of statistical law in Canada.

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Panel surveys are frequently used to measure the evolution of parameters over time. Panel samples may suffer from different types of unit non-response, which is currently handled by estimating the response probabilities and by reweighting respondents. In this work, we consider estimation and variance estimation under unit non-response for panel surveys. Extending the work by Kim and Kim (2007) for several times, we consider a propensity score adjusted estimator accounting for initial non-response and attrition, and propose a suitable variance estimator. It is then extended to cover most estimators encountered in surveys, including calibrated estimators, complex parameters and longitudinal estimators. The properties of the proposed variance estimator and of a simplified variance estimator are estimated through a simulation study. An illustration of the proposed methods on data from the ELFE survey is also presented.

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Sample coordination seeks to create a probabilistic dependence between the selection of two or more samples drawn from the same population or from overlapping populations. Positive coordination increases the expected sample overlap, while negative coordination decreases it. There are numerous applications for sample coordination with varying objectives. A spatially balanced sample is a sample that is well-spread in some space. Forcing a spread within the selected samples is a general and very efficient variance reduction technique for the Horvitz-Thompson estimator. The local pivotal method and the spatially correlated Poisson sampling are two general schemes for achieving well-spread samples. We aim to introduce coordination for these sampling methods based on the concept of permanent random numbers. The goal is to coordinate such samples while preserving spatial balance. The proposed methods are motivated by examples from forestry, environmental studies, and official statistics.

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These last years, balanced sampling techniques have experienced a recrudescence of interest. They constrain the Horvitz Thompson estimators of the totals of auxiliary variables to be equal, at least approximately, to the corresponding true totals, to avoid the occurrence of bad samples. Several procedures are available to carry out balanced sampling; there is the cube method, see Deville and Tillé (2004), and an alternative, the rejective algorithm introduced by Hájek (1964). After a brief review of these sampling methods, motivated by the planning of an angler survey, we investigate using Monte Carlo simulations, the survey designs produced by these two sampling algorithms.

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Many studies conducted by various electric utilities around the world are based on the analysis of mean electricity consumption curves for various subpopulations, particularly geographic in nature. Those mean curves are estimated from samples of thousands of curves measured at very short intervals over long periods. Estimation for small subpopulations, also called small domains, is a very timely topic in sampling theory.

In this article, we will examine this problem based on functional data and we will try to estimate the mean curves for small domains. For this, we propose four methods: functional linear regression; modelling the scores of a principal component analysis by unit-level linear mixed models; and two non-parametric estimators, with one based on regression trees and the other on random forests, adapted to the curves. All these methods have been tested and compared using real electricity consumption data for households in France.

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In Italy, the Labor Force Survey (LFS) is conducted quarterly by the National Statistical Institute (ISTAT) to produce estimates of the labor force status of the population at different geographical levels. In particular, ISTAT provides LFS estimates of employed and unemployed counts for local Labor Market Areas (LMAs). LMAs are 611 sub-regional clusters of municipalities and are unplanned domains for which direct estimates have overly large sampling errors. This implies the need of Small Area Estimation (SAE) methods. In this paper, we develop a new area level SAE method that uses a Latent Markov Model (LMM) as linking model. In LMMs, the characteristic of interest, and its evolution in time, is represented by a latent process that follows a Markov chain, usually of first order. Therefore, areas are allowed to change their latent state across time. The proposed model is applied to quarterly data from the LFS for the period 2004 to 2014 and fitted within a hierarchical Bayesian framework using a data augmentation Gibbs sampler. Estimates are compared with those obtained by the classical Fay-Herriot model, by a time-series area level SAE model, and on the basis of data coming from the 2011 Population Census.

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When a linear imputation method is used to correct non-response based on certain assumptions, total variance can be assigned to non-responding units. Linear imputation is not as limited as it seems, given that the most common methods – ratio, donor, mean and auxiliary value imputation – are all linear imputation methods. We will discuss the inference framework and the unit-level decomposition of variance due to non-response. Simulation results will also be presented. This decomposition can be used to prioritize non-response follow-up or manual corrections, or simply to guide data analysis.

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This table presents Aboriginal language spoken at home, single and multiple responses of language spoken at home, Aboriginal identity, registered or treaty Indian status and age for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

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This table presents Aboriginal ancestry responses, single and multiple Aboriginal responses, age and sex for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

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This table represents Aboriginal ancestry, residence by Aboriginal geography, age and sex for the population in private households of Canada, provinces and territories.

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This table presents Aboriginal identity, income statistics, registered or treaty Indian status, residence by Aboriginal geography, age and sex for the population aged 15 years and over in private households of Canada, provinces and territories.

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This table presents economic family income decile group, Aboriginal identity, registered or treaty Indian status, age and sex for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

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This table presents Aboriginal identity, labour force status, registered or treaty Indian status, income statistics, residence by Aboriginal geography, age and sex for the population aged 15 years and over in private households of Canada, provinces and territories.

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This table presents Aboriginal identity, labour force status, income statistics, registered or treaty Indian status, age and sex for the population aged 15 years and over in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

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This table presents Aboriginal identity, secondary (high) school diploma or equivalent, school attendance, registered or treaty Indian status, age and sex for the population aged 15 years and over in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

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This table presents Aboriginal identity, highest certificate, diploma or degree, income statistics, registered or treaty Indian status, age and sex for the population aged 15 years and over in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

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This table presents mother tongue, language spoken most often at home, other language spoken regularly at home, generation status, age and sex for the population in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations.

Description: This video describes home care services in Canada, and discusses who is using them, how they are paid for and whether needs are being met.

Description:

Harassment in the workplace can come in a variety of forms, with the potential for far-reaching effects on the health and well-being of workers, as well as on their job tenure, job stability and job satisfaction. Using data from 2016 General Social Survey on Canadians at Work and Home (GSS), this study focuses on workplace harassment experienced by respondents at some point in the past year. The target population includes those who were aged 15 to 64 and worked for pay in the past year.

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This Juristat article examines police-reported violence against girls and young women aged 24 and younger in Canada. Trend analysis is also presented to indicate changes over time. Rates are provided at the national, provincial and territorial levels, as well as for urban, rural and census metropolitan areas.

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The Bank of Canada (the Bank) and Statistics Canada both produce aggregate measures of borrowing, or credit, for sectors of the Canadian economy. The Statistics Canada measures are part of the National Balance Sheet Accounts (NBSA), which cover the entire economy and directly align with the internationally recognized national accounting principles detailed in the United Nations System of National Accounts. The Bank’s data are presented based on the issuer of credit, i.e., the holder of the financial assets, and do not display liabilities. Both measures are constructed primarily from records of Canadian financial institutions and provide thorough coverage of lending by those institutions. They show a similar picture of the indebtedness of Canadian non-financial businesses, currently and in the past. However, the use of differing classification systems, methodologies and definitions result in some reconcilable differences in the aggregate measures. Therefore, the Bank and Statistics Canada conducted a joint study to understand and identify key differences between their respective measures of business credit loans, including non-mortgage business loans, non-residential mortgages and commercial paper.

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The principal motivation in producing estimates of seasonally adjusted household sector borrowing arose as a result of the observed seasonality present in the unadjusted credit market debt estimates. For example, Canadians tend to borrow more in the form of consumer credit in the fourth quarter, with the arrival of significant retail activity tied to the holidays, and then subsequently retrench in the first quarter. Moreover, mortgage borrowing has a tendency to slow down in the first quarter, but then pick up in the second and third quarters as winter recedes in many areas of Canada and resale activity picks up and families look to secure housing before the start of the upcoming school year. This phenomena of sub-annual cyclical patterns is not constrained to the household sector and can be seen in other areas such as government borrowing. Consequently, seasonal adjustment in this context enhances the interpretability of estimates that possess a strong cyclical component, eliminating the variation due to predictable and recurrent events, and provides data users, policy makers, and researchers with more accurate quarter-to-quarter movements that reveal the underlying trends in the data. While only household borrowing is the current sector of interest, seasonal adjustment will be eventually expanded to encompass other pertinent sectors in the Financial and Wealth Accounts.

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The goal of this paper is to explain the methodology and data sources used to construct a comprehensive economic account covering entities that fall within the definition of non-bank financial intermediation (NBFI), previously referred to as “shadow banking”. For policy-makers, researchers, and regulators, understanding the vulnerabilities that exist in the financial system does not stop at the traditional entities where oversight and risk assessment is well established. The activities of NBFIs are an important part of the financial system and, due to the many inter-linkages between NBFIs and the more formal system, it is crucial to develop the estimates needed to better monitor risk throughout the entire system. This economic account seeks, in part, to address that objective.

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Using data from the Labour Force Survey, this analysis provides new information on the labour force participation of older Canadians, defined in this analysis as persons aged 60 years and older, by shedding light on the reasons why they were working.

Description: The purpose of this working paper is to define the concept of peer groups, to give an overview of how they are created and to demonstrate their usefulness.

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This infographic presents results from the University and College Academic Staff System (UCASS) for 2017/2018.

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This article focuses on the emergence of the next generation of Canadian farm operators. The rise of adaptive and educated female farm operators in synergy with progressive and resourceful young farm operators is changing the perception of the typical farmer.

Faced with modernizing farming practises, female and young farm operators are placing greater emphasis on educational attainment. While agricultural operations evolve into large-scale, capital-intensive entities, female and young farm operators are adapting by diversifying revenue streams and acquiring farm land through innovative methods.

Description:

This guide presents information of interest to users of data from the Survey of Household Spending (SHS). It includes descriptions of the survey terms and variables definitions as well as of the survey methodology and data quality. The guide also includes a section describing various examples of estimates that can be drawn from the survey data.

Description:

The Survey of Household Spending (SHS) conducted by Statistics Canada collects detailed spending information as well as selected information on dwelling characteristics and household equipment. This technical note provides additional information on the quality of the SHS data and their fitness for use.

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The Longitudinal Immigration Database (IMDB) is a comprehensive source of data that plays a key role in the understanding of the economic behaviour of immigrants. It is the only annual Canadian dataset that allows users to study the characteristics of immigrants to Canada at the time of admission and their economic outcomes and regional (inter-provincial) mobility over a time span of more than 30 years. The IMDB combines administrative files on immigrant admissions and non-permanent resident permits from Immigration, Refugees and Citizenship Canada (IRCC) with tax files from the Canadian Revenue Agency (CRA). Information is available for immigrant taxfilers admitted since 1980. Tax records for 1982 and subsequent years are available for immigrant taxfilers. This report will discuss the IMDB data sources, concepts and variables, record linkage, data processing, dissemination, data evaluation and quality indicators, comparability with other immigration datasets, and the analyses possible with the IMDB.

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 release are derived from integrating the Registered Apprenticeship Information System (RAIS) with other administrative data on earnings. Statistics Canada has derived a series of indicators on educational pathways and labour market outcomes for registered apprentices by select trades, cohorts of apprentices, by sex, for Canada, all provinces, the Atlantic region, and for grouped territories.

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 derived from integrating Postsecondary Student Information System (PSIS) administrative data with other administrative data on earnings. Statistics Canada has derived a series of annual indicators on the labour market outcomes of public postsecondary graduates including median employment income by educational qualification, field of study, age group and sex for Canada, the provinces and the territories combined.

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This document describes Statistics Canada's vision for a modernized national statistical system and its strategy for making it a reality in partnership with its many stakeholders.

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This document describes Statistics Canada's vision for a modernized national statistical system and its strategy for making it a reality in partnership with its many stakeholders.

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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.

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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.

Description: This guide provides a detailed explanation of the structure, concepts and history of Canada’s System of Macroeconomic Accounts.