Employment and unemployment

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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Number of employees 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.

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Labour force characteristic estimates by visible minority group, age group, and sex.

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Labour force characteristic estimates by visible minority group, region, age group, and sex.

Description: National data on employment in the environmental and clean technology products sector by type of worker and by demographic characteristic. This includes full-time employment and part time employment, and it includes gender, age, level of education, immigration status, indigenous identity and visible minority status by environmental and clean technology products group. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: National data on employment in the environmental and clean technology products sector by demographic characteristic. This includes gender, age, level of education, immigration status, indigenous identity and visible minority status by industry. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: National data on employment in the environmental and clean technology products sector, by gender, age, and demographic characteristic. This includes level of education, immigration status, indigenous identity and visible minority status by environmental and clean technology products group. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

Description: National data on employment per occupation (National Occupation Classification) in the environmental and clean technology products sector by demographic characteristic. This includes level of education, immigration status, indigenous identity and visible minority status. Variables of interest include number of jobs, hours worked, wages and salaries as well as average hourly wage.

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.

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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.

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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.

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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).

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This product presents the latest facts and figures on gambling in Canada.

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This paper examines the differences between the Canadian and American economies and labour markets during 2001.

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.