Employment and unemployment

Description: This article uses 12 months of data from the Labour Force Survey (LFS) and LFS supplement for 2022, and the 2016 General Social Survey on Canadians at Work and Home to explore several quality of employment indicators based on Statistics Canada's Statistical Framework on Quality of Employment among the core working age First Nations people living off reserve and Métis (18 to 64 years), in the 10 provinces.

Description: Percentage of enterprises that took measures to overcome skill shortages, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Measures include outsourcing work in Canada, offshoring of labour, targeted recruitment process, student hiring, training staff, retention strategy, acquisition of external businesses, global talent attraction, other government programs, and other measures.

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.

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

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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: 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.

Description: Number of unemployed persons by activity prior to unemployment, sex and age group, last 5 months.

Description: Number of unemployed persons and persons not in the labour force by reason for leaving job during previous year, sex and age group, last 5 months.

Description: Number of persons not in the labour force by reason for not looking for work, sex and age group, last 5 months.

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Unemployment rate and employment rate by type of student during summer months, sex and age group, 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 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.

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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.

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While the number of census-farms and farm operators is shrinking, the number of jobs in the agriculture and agri-food industry is growing. During the 15-year period from 1981 to 1996, the industry employed 15% of Canada's workforce.

Employment in the agri-food sector has grown faster than the overall Canadian economy and this has offset the decline in employment on farms. In 1981, more people worked on farms than worked in restaurants, bars and taverns. By 1996, this trend had reversed and employment in the food and beverage services sector far outstripped the number of workers on farms.

Food processing is often promoted as part of agricultural policy (to provide a local market for Canadian farmers) and as part of rural development policy (to create jobs in rural areas). However, in 1996, fewer people were working in Canada's food processing sector than in 1981. More food was processed (there was growth in the gross domestic product (GDP) of this sector), but fewer workers were involved. Rural regions adjacent to urban areas gained a greater share of food processing employment, making these regions relatively competitive in keeping food processing workforces.

Employment in the agricultural and agri-food sectors is growing, but the nature of the work and where it is being done is changing.

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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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This report contains basic conceptual and data quality information intended to facilitate the use and interpretation of census industry data. It provides an overview of the industry processing cycle, including elements such as regional processing, edit and imputation, and the tabulation of error rates. Notable changes in the industrial classification structure are discussed as well as differences in the coding procedures from the previous census (1996). The report concludes with summary tables that indicate the level of data quality in the 2001 Census industry data.

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The Youth in Transition Survey (YITS) is a longitudinal survey designed to provide policy-relevant information about school-work transitions and factors influencing pathways. YITS will provide vehicle for future research and analysis of major transitions in young people's lives, particularly those between education, training and work. Information obtained from, and research based on, the survey will help clarify the nature and causes of short and long-term challenges young people face in school-work transitions and support policy planning and decision making to help prevent or remedy these problems.

Objectives of the Youth in Transition Survey were developed after an extensive consultation with stakeholders with an interest in youth and school-work transitions. Content includes measurement of major transitions in young people's lives including virtually all formal educational experiences and most labour-market experiences. Factors influencing transitions are also included family background, school experiences, achievement, aspirations and expectations, and employment experiences.

The implementation plan encompasses a longitudinal survey for each of two age cohorts, to be surveyed every two years. Data from a cohort entering at age 15 will permit analysis of long-term school-work transition patterns. Data from a cohort entering at ages18-20 will provide more immediate, policy-relevant information on young adults in the labour market.

Cycle one for the cohort aged 15 will include information collected from youth, their parents, and school principals. The sample design is a school-based frame that allows the selection of schools, and then individuals within schools. This design will permit analysis of school effects, a research domain not currently addressed by other Statistics Canada surveys. Methods of data collection include a self-completed questionnaire for youth and school principals, a telephone interview with parents, and assessment of youth competency in reading, science and mathematics as using self-completed test booklets provided under the integration of YITS with the OECD Programme for International Student Assessment (PISA). A pilot survey was conducted in April 1999 and the main survey took place in April-May 2000. Interviews were conducted with 30,000 students aged 15 from 1,000 schools in Canada. A telephone interview with parents of selected students took place in June 2000.

The sample design for the cohort aged 18-20 is similar to that of the Labour-Force survey. The method of data collection is computer-assisted telephone interviewing. The pilot survey was conducted in January 1999. In January-February 2000, 23, 000 youth participated in the main survey data collection.

Data from both cohorts is expected to be available in 2001. Following release of the first international report by the OECD/PISA project and the first national report, data will be publically available, permitting detailed exploration of content themes.

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This paper examines a new variable which would show whether a person's job is related to his or her postsecondary education. This variable would help to explain other characteristics measured in the Survey of Labour and Income Dynamics (SLID), such as wages, supervisory roles, and job stability.

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The employment/population ratio is a good barometer of the state of the economy and an important though little-used labour market indicator. This article takes a look at the ratio's strengths and limitations, as well as its variation since 1946. Provincial and international comparisons are included.

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This paper presents an analysis of the questions in the Survey of Labour and Income Dynamics (SLID) relating to supervision and management. It uses data collected in January 1993.

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This paper examines the robustness of a measure of the average complete duration of unemployment in Canada to a host of assumptions used in its derivation. In contrast to the average incomplete duration of unemployment, which is a lagging cyclical indicator, this statistic is a coincident indicator of the business cycle. The impact of using a steady state as opposed to a non steady state assumption, as well as the impact of various corrections for response bias are explored. It is concluded that a non steady state estimator would be a valuable compliment to the statistics on unemployment duration that are currently released by many statistical agencies, and particularly Statistics Canada.

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The Standard Occupational Classification provides a systematic classification structure to identify and categorize the entire range of occupational activity in Canada. This up-to-date classification is based upon, and easily related to, the National Occupational Classification. It consists of 10 broad occupational categories which are subdivided into major groups, minor groups and unit groups. Definitions and occupational titles are provided for each unit group. An alphabetical index of the occupational titles classified to the unit group level is also included.

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This study illustrates quarterly trends in unemployment rates based on alternative measures. By all of the indicators studies there was an overall increase in unemployment during the early 1990s.

Description: The objective of this program is to provide data on employment (number of employees, wages and salaries) in the public sector, i.e. the federal, provincial, territorial and local general governments, health and social service institutions, universities, colleges, vocational and trade institutions, school boards, and government business enterprises.

Description: This survey is an establishment census survey designed to gather data on employment, payrolls and paid-hours from larger employers (companies or establishments of 20 or more employees).