Employment and unemployment

Description: This interactive visualization application provides a comprehensive picture of the Canadian labour market using the most recent data from the Survey of Employment, Payrolls and Hours (SEPH). The estimates are seasonally adjusted and available by province and largest industrial sector. Historical estimates, going back 10 years, are also included. The interactive application allows users to quickly and easily explore and personalize the information presented. Combine multiple provinces and industrial sectors to create your own labour market domains of interest.

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The Canadian Labour Market Observatory consists of interactive data visualization applications showcasing the vast amount of publicly available labour market information. The fully interactive applications allow Canadians to quickly and easily personalize the information in a way that is relevant to them and their interests.

Description: In the publication Quality of Employment in Canada, the employability indicator is the number of employees who feel it would be easy for them to find a job of a similar salary if they lost or quit their current job, expressed as a percentage of all employed persons.

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

Description: Statistics Canada's Quality of Employment in Canada publication is intended to provide Canadians and Canadian organizations with a better understanding of quality of employment using an internationally-supported statistical framework. Quality of employment is approached as a multidimensional concept, characterized by different elements, which relate to human needs in various ways. To cover all relevant aspects, the framework identified seven dimensions and twelve sub-dimensions of quality of employment.

Description: Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 months.

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Number of employees by North American Industry Classification System (NAICS) in the energy sector and type of employee.

Description: Number of employees and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.

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Number of employees and average weekly earnings (including overtime) for all employees in the automotive industry, based on the North American Industry Classification System (NAICS), last 5 months.

Description: Number of employees, average hourly and weekly earnings, and average weekly hours by North American Industry Classification System (NAICS) and type of employee, last 5 months.

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Number of employees by class of worker, North American Industry Classification System (NAICS), and population centre and rural area, last 5 months.

Description: Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by census metropolitan area, sex and age group, last 5 months.

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Number of employees by North American Industry Classification System (NAICS) and census metropolitan area, last 5 months.

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Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by census metropolitan area. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

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Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by census metropolitan area. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

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Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by Montréal, Toronto and Vancouver census metropolitan areas. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-tomonth change and the standard error of the year-over-year change.

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Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by Montréal, Toronto and Vancouver census metropolitan areas, last 5 months. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.

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Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by economic region, last 5 months. Data are also available for the standard error of the estimate and the standard error of the year-over-year change.

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Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by economic region, last 5 months. Data are also available for the standard error of the estimate and the standard error of the year-over-year change.

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Number of employees by North American Industry Classification System (NAICS), province and economic region, last 5 months.

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This paper looks at 'non-standard,' 'contingent' and 'precarious' employment situations, which differ from the traditional model of a stable, full-time job.

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This paper looks at the high-tech sector in 2002, a year after high-profile layoffs were made in response to the collapse in demand for its products and services.

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This paper examines the increasing importance of high-knowledge occupations over the period 1971 to 1996. It also examines changes that have occurred for different knowledge professions, including managers, professionals and technical occupations, by industry and by geographic area.

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This paper examines the emergence of the knowledge economy by studying the increasing importance of high-knowledge occupations from 1971 to 2001.

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This paper provides an empirical analysis of the levels and trends in the industrial diversity of Canadian cities over the past 10 years (1992 to 2002). Diverse cities are thought to be more stable and provide better environments that lead to stronger economic growth.

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This report estimates the impact of participating in adult education and training on the employment and earnings of Canadians, using the data from the 1998 Adult Education and Training Survey (AETS).

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This paper looks at the surge in demand for people skilled in computer specialties after the rapid growth of the information, communication and technology (ICT) industry in the 1990s. It uses data from the 2001 Census.

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The Canadian Labour Force Survey (LFS) produces monthly direct estimates of the unemployment rate at national and provincial levels. The LFS also releases unemployment estimates for subprovincial areas such as census metropolitan areas (CMAs) and census agglomerations (CAs). However, for some subprovincial areas, the direct estimates are not very reliable since the sample size in some areas is quite small. In this paper, a cross-sectional and time-series model is used to borrow strength across areas and time periods to produce model-based unemployment rate estimates for CMAs and CAs. This model is a generalization of a widely used cross-sectional model in small area estimation and includes a random walk or AR(1) model for the random time component. Monthly Employment Insurance (EI) beneficiary data at the CMA or CA level are used as auxiliary covariates in the model. A hierarchical Bayes (HB) approach is employed and the Gibbs sampler is used to generate samples from the joint posterior distribution. Rao-Blackwellized estimators are obtained for the posterior means and posterior variances of the CMA/CA-level unemployment rates. The HB method smoothes the survey estimates and leads to a substantial reduction in standard errors. Base on posterior distributions, bayesian model fitting is also investigated in this paper.

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The Korean Economically Active Population Survey (EAPS) has been conducted in order to produce unemployment statistics for large areas such as metropolitan cities and provincial levels. Large areas have been designated as planned domains in the EAPS and local self-government areas (LSGAs) as unplanned domains. In this study, we suggest small area estimation methods to adjust for the unemployment statistics of LSGAs within large areas estimated directly from current EAPS data. We suggest synthetic and composite estimators under the Korean EAPS system, and for the model-based estimator we put forward the hierarchical Bayes (HB) estimator from the general multi-level model. The HB estimator we use here was introduced by You and Rao (2000). The mean square errors of the synthetic and composite estimates are derived from the EAPS data by the Jackknife method, and are used as a measure of accuracy for the small area estimates. Gibbs sampling is used to obtain the HB estimates and their posterior variances, which we use to measure precision for small area estimates. The total unemployment figures of the 10 LSGAs within the ChoongBuk Province produced by the December 2000 EAPS data have been estimated using the small area estimation methods suggested in this study. The reliability of small area estimates is evaluated by the relative standard errors or the relative root mean square errors of these estimates. Here, under the current Korean EAPS system, we suggest that the composite estimates are more reliable than other small area estimates.

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The Illinois Department of Employment Security is using small domain estimation techniques to estimate employment at the county or industry divisional level. The estimator is a standard synthetic estimator, based on the ability to match Current Employment Statistics sample data to ES202 administrative records and an assumed model relationship between the two data sources. This paper is a case study that reviews the steps taken to evaluate the appropriateness of the model and the difficulties encountered in linking the two data sources.

Description: The Treasury Board of Canada Secretariat and Statistics Canada are partnering to administer the 2022/2023 Public Service Employee Survey (PSES). This public service-wide survey is designed to provide information to support the continuous improvement of people management practices in the federal public service.

Description: The purpose of the survey is to obtain a profile of members of the compensation community in the Human Resources community of the federal public service.

Description: The two primary objectives of the General Social Survey (GSS) are: to gather data on social trends in order to monitor changes in the living conditions and well being of Canadians over time; and to provide information on specific social policy issues of current or emerging interest. This survey monitored changes in education, work and retirement, and examined the relationships between these three main activities.

Description: The purpose of the Federal Jurisdiction Workplace Survey is to produce statistical information on the characteristics of workplaces under federal labour jurisdiction.

Description: The primary objective of the survey is to obtain the views of all Security Intelligence Review Committee (SIRC) employees about their workplace. The information will allow managers and employees to initiate concrete actions in the agency, and compare their results with the rest of the Public Service.

Description: The primary objective of the survey is to obtain the views of all National Energy Board (NEB) employees about their workplace. The information will allow managers and employees to initiate concrete actions in the agency, and compare their results with the rest of the Public Service.

Description: The primary objective of the survey is to obtain the views of all Canadian Food Inspection Agency (CFIA) employees about their workplace. The information will allow managers and employees to initiate concrete actions in the agency, and compare their results with the rest of the Public Service.

Description: The primary objective of the survey is to obtain the views of all Canada Revenue Agency (CRA) employees about their workplace. The information will allow managers and employees to initiate concrete actions in the agency, and compare their results with the rest of the Public Service.

Description: The survey is sponsored by the Office of the Official Language Commissioner (OCOL). As part of its mandate, the OCOL reviews the use of both official languages in federal institutions. The evaluation is done for employees in a minority situation (i.e., English in Quebec and French in New Brunswick and in bilingual areas of Ontario).

Description: The primary objective of the survey is to obtain the views of all Indian Claims Commission (ICC) employees about their workplace.