Employment and unemployment

Description: Labour statistics by job category, for Canada, the provinces and territories, annual.

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Labour statistics consistent with the System of National Accounts (SNA), by economic regions, job category and work schedule.

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Labour statistics consistent with the System of National Accounts (SNA), by industry, job category and work schedule.

Description: This interactive dashboard allows users to examine financial and employment variables for enterprises aggregated at the industry and industry aggregation level, as well as at the provincial, territorial and regional level.

Financial statistics are based on the Financial and Taxation Statistics for Enterprises product (survey 2510) and are calculated to the province and territory level using employment allocation factors based on profiled data from the Business Register and administrative data from the Canada Revenue Agency T4 Supplemental file.

The employment data has been aggregated at the industry and industry aggregation level, using the annual provincial program of Canadian Productivity Accounts (survey 5103) which produces annual data on jobs by province and territory.

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

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

Description: Selected financial and employment variables for enterprises presented in millions of dollars at the industry and industry aggregation level, as well as at the provincial, territorial and regional level.

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This interactive visualization application provides a comprehensive picture of the Canadian labour market using the most recent Labour Force Survey data available. The estimates are seasonally adjusted and available by province, sex, age group and industry. Historical estimates, going back 5 years, are also included for monthly employment changes and unemployment rates. The interactive application allows users to quickly and easily explore and personalize the information presented. Combine multiple provinces, sexes and age groups to create your own labour market domains of interest.

Description: This web application provides access to Statistics Canada’s Labour Market Indicators for Canada, by province and by census metropolitan area. This dynamic application allows users to view geographical rankings for each labour market indicator and to create quick and easy reports with interactive maps and charts that can be easily copied into other programs. All provincial and CMA estimates used in this application are seasonally adjusted, 3-month moving averages. Labour Force Survey data at the provincial level published each month in The Daily are seasonally adjusted monthly estimates.

Description: This web application provides access to Statistics Canada’s Labour Market Indicators for Canada, by province, territory and economic region (ER). This dynamic application allows users to view a snapshot of key labour market indicators, observe geographical rankings for each indicator using an interactive map and table, and easily copy data into other programs. The provincial and ER estimates used in this application from the Labour Force Survey (LFS) are three-month moving averages, unadjusted for seasonality. The provincial, territorial and ER estimates used in this application from the Job Vacancy and Wage Survey (JVWS) are quarterly data, unadjusted for seasonality. Historical estimates are available in this application, with data going back 10 years for the LFS and from the first quarter of 2016 for JVWS.

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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.

Description: Number of employees by National Occupational Classification (NOC), 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 National Occupational Classification (NOC). 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: Average usual hours and wages of employees (full- and part-time) by age group, sex, union coverage, job permanency, and National Occupational Classification (NOC), last 5 months.

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Number of unemployed persons by duration of unemployment, sex and age group, last 5 months.

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Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

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Number of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), 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 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.

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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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The National Household Survey (NHS) Dictionary is a reference document which contains detailed definitions of concepts, universes, variables, and geographic terms used in the NHS. By referring to the NHS Dictionary, both beginner and intermediate data users will gain a better understanding of the data.

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This guide focuses on the following topics: Labour market activity and Unpaid work.

Provides information that enables users to effectively use, apply and interpret data from the 2006 Census. Each guide contains definitions and explanations on census concepts, data quality and historical comparability. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

Description:

This guide focuses on the following topics: Labour market activity and Unpaid work.

Provides information that enables users to effectively use, apply and interpret data from the 2006 Census. Each guide contains definitions and explanations on census concepts, data quality and historical comparability. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

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The Survey of Labour and Income Dynamics (SLID) conducts an annual labour and income interview in January. The data are collected using computer-assisted interviewing; thus no paper questionnaire is required for data collection. The questions, responses and interview flow for labour and income are documented in another SLID research paper. This document presents the information for the 2007 entry and exit portions of the labour and income interview (reference year 2006).

The entry exit component consists of five separate modules. The entry module is the first set of data collected. It is information collected to update the place of residence, housing conditions and expenses, as well as the household composition. For each person identified in entry, the demographics module collects (or updates) the person's name, date of birth, sex and marital status. Then the relationships module identifies (or updates) the relationship between each respondent and every other household member. The exit module includes questions on who to contact for the next interview and the names, phone numbers and addresses of two contacts to be used only if future tracing of respondents is required. An overview of the tracing component is also included in this document.

Description:

This guide focuses on the following topics: Labour market activity and Unpaid work.

Provides information that enables users to effectively use, apply and interpret data from the 2006 Census. Each guide contains definitions and explanations on census concepts. Additional information will be included for specific variables to help general users better understand the concepts and questions used in the census.

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This activity focuses on the contribution of immigrants to Canadian agriculture, highlighting which countries they come from and why, and what types of farms they prefer.

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This report contains basic conceptual and data quality information to help users interpret and make use of census occupation data. It gives an overview of the collection, coding (to the 2001 National Occupational Classification), edit and imputation of the occupation data from the 2001 Census. The report describes procedural changes between the 2001 and earlier censuses, and provides an analysis of the quality level of the 2001 Census occupation data. Finally, it details the revision of the 1991 Standard Occupational Classification used in the 1991 and 1996 Censuses to the 2001 National Occupational Classification for Statistics used in 2001. The historical comparability of data coded to the two classifications is discussed. Appendices to the report include a table showing historical data for the 1991, 1996 and 2001 Censuses.

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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. A detailed explanation of the automated coding systems used in the 2001 Census is also documented, in addition to notable changes in the imputation procedures. The report concludes with summary tables that indicate the level of data quality in the 2001 Census industry data. Appendices to the report contain historical data going back to the 1971 Census.