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 persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate and employment rate by province, type of student during summer months, sex, and age group. Data are presented for 24 months earlier, 12 months earlier and current month, as well as 24-month and year-over-year level change and percentage change.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), sex and age group, 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.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by age group and sex. 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.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, sex and age group. 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.

Description: Number of employees by class of worker and sex, 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.

Description: Number of employees by class of worker and sex. 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) and unemployment rate by North American Industry Classification System (NAICS), 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 unemployment rate by North American Industry Classification System (NAICS). 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.

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 territory, sex and age group, 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.

Description: Number of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by territory, sex and age group. 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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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 Public Service Commission has redesigned the Survey of Staffing (SOS) in light of changes brought about by the implementation of the New Direction in Staffing. The Staffing and Non-Partisanship Survey (SNPS) will be conducted every two years and targets all departments and agencies under the Public Service Employment Act (PSEA) - including those with less than 350 employees. The SNPS gathers information from a broader range of audiences - employees, hiring managers and staffing advisors - on key aspects of the staffing system (e.g., merit). As in previous years, the survey also gathers critical information on employees' understanding of their rights and responsibilities regarding political activities and non-partisanship.

Description: The primary objective of the survey is to obtain the views of all Parks Canada employees about their workplace.

Description: Statistics Canada is conducting the Public Service Financial Community Survey on behalf of the Office of the Comptroller General to collect relevant and timely information about the financial community on which to base decisions.

Description: The purpose of this survey is to identify emerging trends in the Canadian labour market.

Description: The purpose of this survey is to identify changing dynamics within the Canadian labour market and measure important socio-economic indicators.

Description: This is non-Statistics Canada information.

Description: The Longitudinal Employment Analysis Program (LEAP) is a database that contains annual employment information for each employer business in Canada, starting with the 1983 reference year.