Employment and unemployment

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: Employment for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.

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 employees, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, last 5 months.

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

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Number of job vacancies and payroll employees, and job vacancy rate by province and territory, last 5 months.

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Number of job vacancies and payroll employees, and job vacancy rate by two-digit North American Industry Classification System (NAICS) code, 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.

Description:

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.

Description:

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 examines the extent of the culture workforce in cities and rural areas across Canada.

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This study examines the evolution of female employment in the Canada's Core Public Administration from 1995 to 2006. Knowledge based workers are compared to less knowledge-based workers with respect to gender by subgroup of occupations.

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This paper quantifies and assesses the role of culture employment in urban settings in Canada and the United States over the past two decades.

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During the 1990s, the high-tech sector expanded at a much greater rate than the rest of the economy, its employment eventually representing 4.5% of the workforce in 2000. Then came the meltdown in 2001 with its headlines of large-scale layoffs. Many were unable to find other jobs in the sector, and some moved to other cities. The article looks at the statistics behind the headlines, in particular the permanent layoff rates and earnings of high-tech workers compared with those in other industries.

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A variety of factors contributed to the slowdown of output growth relative to employment growth during 2006. However, 2006 was not unique, gross domestic product and job growth rates have converged frequently in recent years, including most of 2002 and 2003. After reviewing the sources of last year's productivity slowdown by industry, the negative impact of labour shortages on the quality of labour, especially in western Canada, is examined

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The labour force participation rate will inevitably decline over the next two decades. This reflects the retirement of the boomer generation and a low birth rate in recent years. Various scenarios involving increased immigration and keeping older workers in the labour force longer can mitigate but not reverse these trends

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Young women have gained considerable ground on young men in terms of educational attainment in the 1990s. The objective of this study is to assess the role of rapidly rising educational attainment among young women in raising their relative position in the labour market. The findings suggest that the educational trends have not contributed towards a decline in the full-time employment gap. Nevertheless, they have contributed towards a decline in the gender earnings gap, especially in the 1990s. However, university-educated women have lost ground to university-educated men. This is likely due to the fact that men and women continued to choose traditional disciplines during the 1990s, but only male-dominated disciplines saw improvements in average earnings.

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The North American experience with international migration stands in unique contrast to much of the rest of the world. This paper uses microdata drawn from the national censuses of Canada, the United States, and Mexico, and applies the same methodological framework to these data to examine the impact of international migration on the labour market. We find a numerically comparable and statistically significant inverse relation between immigrant-induced shifts in labour supply and wages in each of the three countries: A 10% labour supply shift is associated with about a 3% to 4% opposite-signed change in wages. Despite the similarity in the wage elasticity, the impact of international migration on the wage structure differs significantly across countries. In Canada, international migration substantially narrowed wage inequality because immigrants in Canada tend to be disproportionately high-skilled. In the United States, international migration substantially increased wage inequality because immigrants in the United States tend to be disproportionately low-skilled. In Mexico, however, emigration rates are highest in the middle of the skill distribution and lowest at the extremes. As a result, international migration greatly increased relative wages in the middle of the Mexican skill distribution and lowered relative wages at the extremes. Paradoxically, the large-scale migration of workers from Mexico may have slightly reduced the relative wage of the low-skill workers remaining in that country.

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Update on family and labour studies is the newsletter of the Family and Labour Studies Division, a research arm of Statistics Canada devoted to analysis of the well-being of children and families and to how they interact with the labour market and social programs.

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Gambling participation and expenditure rates increased with household income.

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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.

Description:

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 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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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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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).