Employment and unemployment

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

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 sex and detailed age group, 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 sex and detailed 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) and not in the labour force, unemployment rate, participation rate, and employment rate, by educational attainment, sex and age group, 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.

Description: Labour force characteristic estimates by age group, sex, family age composition, province, and family type, last 5 months.

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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.

Description:

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.

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This study addresses the effects of macroeconomic conditions on the labour market outcomes of immigrants. It simultaneously identifies both the effects of macroeconomic conditions at the time of entry into the labour market and at the time of the survey was taken, while allowing for cohort effects. Also, for the first time in the literature, the impacts on labour force participation along with employment outcomes are explored. The study uses 19 annual cross-sections of the Survey of Consumer Finances, covering the period from 1979 to 1997. The results suggest that the deterioration in the assimilation of recent immigrants is partly due to the adverse economic conditions they face in the year they enter the labour market and the subsequent years following. Macroeconomic conditions at the time of labour market entry have adverse impacts on both labour force participation (LFP) and employment. With the inclusion of controls for macroeconomic conditions, the significance and magnitude of the assimilation-measuring co-efficient increases. Therefore, not only are the estimated cohort effects sensitive to the inclusion of controls for business cycles, but so too are the assimilation profiles.

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Using Census data from 1981, 1986, 1991 and 1996, this study examined the association between living in a visible minority enclave and immigrants' labour market outcomes in Canada's three largest cities. The results showed that the number of such enclaves, defined as census tracts with at least 30% of the population from a single visible minority group (Chinese, South Asian or Black), increased from 6 in 1981 to 142 in 1996, mostly in Toronto and Vancouver. The association between exposure to own-group neighbours and employment was at times negative, but generally not significant. Exposure to own-group neighbours and working in a segregated occupation was positively, but not significantly, associated. Little association existed between exposure and employment earnings. However, there were some important group differences. The associations between exposure to own-group neighbours and labour market outcomes were usually very weak among Chinese immigrants, but often negative and strong among Black immigrants.

Description:

As evident by its contribution of $58.7 billion to Canada's GDP and accounting for more than 7% of business sector GDP, the ICT sector is playing an increasingly greater role in the Canadian economy. The computer and telecommunications sector represents a significant sub-set of the ICT sector and accounts for 3.9% of total economy employment. Discover highlights of a recent Statistics Canada analytical report profiling employment in computer and telecommunications industries.

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This paper looks at the activities of employed volunteers who are given employer support. It compares employed volunteers with retirees and others.

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This study examines the labour market outcomes of university and college graduates who entered the work force at three points of the economic cycle: 1986, 1990 and 1995. It uses data from the National Graduates Survey.

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This study investigates the link between having a job in high school and quitting school. It uses data from the Youth in Transition Survey (YITS).

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.

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).

Description: The Help-wanted Index measures changes in the demand for labour relative to a base-year.

Description: The Survey of Employment, Payrolls and Hours provides a monthly portrait of the amount of earnings, as well as the number of jobs (i.e., occupied positions) and hours worked by detailed industry at the national, provincial and territorial levels.

Description: This survey is conducted to collect statistical information on employment trends in information technology (IT) occupations.

Description: The Employment Dynamics is a compilation of statistical tables on employment, payroll and the number of businesses with employees for Canada, the provinces and territories.