Earnings and wages by occupation, industry or sector

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Data (168)

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  • Stats in brief: 11-001-X20202123555
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2020-07-30

  • Articles and reports: 11F0019M2020007
    Description:

    The dispersion of earnings among workers may come from multiple sources. It may reflect differences in workers’ characteristics, such as education and experience. It may also be because workers are employed at different firms that pay differently. Recent studies from other countries have found that firms play an important role in explaining earnings disparities among workers, often through the link between productivity and pay. However, there has been no Canadian evidence on the link between the earnings dispersion and firm differences because of a lack of matched employer–employee data. This paper presents developments in the dispersion of individuals’ earnings in Canada and examines the potential of firm characteristics to account for this dispersion and changes in this dispersion in the post-2000 period using the Canadian Employer–Employee Dynamics Database.

    Release date: 2020-02-20

  • Articles and reports: 11-626-X2018086
    Description:

    This article in the Economic Insights series provides users with an integrated summary of long-term changes in several characteristics of the jobs held by Canadian employees. The article assesses the evolution of median real hourly wages in all jobs, full-time jobs and part-time jobs, as well as the evolution of layoff rates. It also examines changes in the percentage of jobs that are full-time; permanent; full-time and permanent; unionized; in public administration, educational services, health care and social assistance; covered by a registered pension plan (RPP); and covered by a defined-benefit RPP. Unless otherwise noted, statistics are shown for the main job held by employees in May and cover the period from 1981 to 2018. The main job is the job with the most weekly work hours. Full-time jobs involve 30 hours or more per week.

    Release date: 2018-11-30

  • Stats in brief: 11-627-M2018037
    Description:

    This infographic looks at individuals that were employed in an export-dependent industry in Canada, including their average age, earnings and education. It also looks at the share of export-dependent employment by province.

    Release date: 2018-11-20

  • Stats in brief: 11-627-M2018013
    Description:

    This infographic provides information on the employment rates and wages of Canadian and American workers aged 25 to 54 who did not have a bachelor’s degree or a higher level of education in 2017.

    Release date: 2018-06-04

  • Articles and reports: 11F0019M2016378
    Description:

    In spite of the role that employers may play in the selection of economic immigrants, little is known about whether and how firm-level characteristics are associated with immigrants’ labour market outcomes over the longer term. As a first step towards providing relevant evidence, this study asks whether there are large gaps between the initial earnings of immigrants starting with low- or high-paying firms, and whether the initial earnings gaps narrow with increasing length of residence in Canada. It further examines whether earnings returns to human capital among immigrants are larger if they start working in high-paying firms than in low-paying firms. This paper uses data from the Canadian Employer-Employee Dynamics Database (CEEDD) developed by Statistics Canada.

    Release date: 2016-06-01

  • Articles and reports: 89-652-X2014003
    Description:

    Using data from the 2012 General Social Survey (GSS) on Caregiving and Care Receiving, this report presents the number of young caregivers in Canada, the relationship of the caregiver to care recipient, the intensity of caregiving, and the types of care provided. The report also highlights the impact of caregiving duties on young caregivers, examining the possible consequences on education, paid work and mental and physical health.

    Release date: 2014-09-24

  • Articles and reports: 11-010-X200801010713
    Geography: Canada
    Description:

    While factory jobs have declined in recent years, this has been outweighed by gains elsewhere, often in high-paying occupations.

    Release date: 2008-10-16

  • Articles and reports: 11F0019M2007302
    Geography: Canada
    Description:

    The high-tech sector was a major driving force behind the Canadian economic recovery of the late 1990s. It is well known that the tide began to turn quite suddenly in 2001 when sector-wide employment and earnings halted this upward trend, despite continued gains in the rest of the economy. As informative as employment and earnings statistics may be, they do not paint a complete picture of the severity of the high-tech meltdown. A decline in employment may result from reduced hiring and natural attrition, as opposed to layoffs, while a decline in earnings among high-tech workers says little about the fortunes of laid-off workers who did not regain employment in the high-tech sector. In this study, I use a unique administrative data source to address both of these gaps in our knowledge of the high-tech meltdown. Specifically, the study explores permanent layoffs in the high-tech sector, as well as earnings losses of laid-off high-tech workers. The findings suggest that the high-tech meltdown resulted in a sudden and dramatic increase in the probability of experiencing a permanent layoff, which more than quadrupled in the manufacturing sector from 2000 to 2001. Ottawa-Gatineau workers in the industry were hit particularly hard on this front, as the permanent layoff rate rose by a factor of 11 from 2000 to 2001. Moreover, laid-off manufacturing high-tech workers who found a new job saw a very steep decline in earnings. This decline in earnings was well above the declines registered among any other groups of laid-off workers, including workers who were laid off during the "jobless recovery" of the 1990s. Among laid-off high-tech workers who found a new job, about four out of five did not locate employment in high-tech, and about one out of three moved to another city. In Ottawa-Gatineau, many former high-tech employees found jobs in the federal government. However, about two in five laid-off high-tech workers left the city.

    Release date: 2007-07-20

  • Articles and reports: 88-003-X20060029242
    Geography: Canada
    Description:

    There is a growing supply of scientists and engineers with doctorates in the natural and applied sciences occupation but, on the other hand, there is a potential for future shortages of university professors concludes a forthcoming Statistics Canada study entitled Where are the Scientists & Engineers? One reason for the lower replacement numbers for university professors is that PhDs may be turning away from educational services towards higher paying industries for employment.

    Release date: 2006-06-27
Reference (12)

Reference (12) (0 to 10 of 12 results)

  • Surveys and statistical programs – Documentation: 1713
    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.

  • Surveys and statistical programs – Documentation: 2422
    Description: The survey is designed to provide annual estimates of retail sales, inventories, purchases, employees earnings and location data. This is a survey of Canadian retail business firms with sales and receipts over certain thresholds. The sales data are provided by kind of business and by province and territory.

  • Surveys and statistical programs – Documentation: 2602
    Description: The estimates are derived in order to supply the System of National Accounts (SNA) with the compensation of employees component of the Gross Domestic Product (GDP).

  • Surveys and statistical programs – Documentation: 2603
    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).

  • Surveys and statistical programs – Documentation: 2612
    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.

  • Surveys and statistical programs – Documentation: 2920
    Description: The objective of this survey is to produce statistical information on wages and salaries paid for various occupations classified to the National Occupation Classification (NOC).

  • Surveys and statistical programs – Documentation: 2935
    Description: This survey collects data on wages paid for specific occupations in the construction industry in all provinces and territories except Québec, Manitoba and Yukon on behalf of the Labour Branch of Human Resources and Skills Development Canada.

  • Surveys and statistical programs – Documentation: 3449
    Description: This survey collected data on wage rates paid to hired farm labour. This data which is a key component of the Farm Input Price Index (FIPI) was required by Agriculture and Agri-Food Canada as essential information to run their Gross Revenue Insurance Plan (GRIP).

  • Surveys and statistical programs – Documentation: 3701
    Description: The Labour Force Survey provides estimates of employment and unemployment. With the release of the survey results only 10 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate.

  • Surveys and statistical programs – Documentation: 5036
    Description: This survey will measure compensation paid to employees in various occupational categories in both the private and public sectors.
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