Earnings and wages by occupation, industry or sector
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Selected geographical area: Canada
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- Census of Population (48)
- Survey of Employment, Payrolls and Hours (41)
- Labour Force Survey (31)
- University and College Academic Staff System - Full-time Staff (21)
- Job Vacancy and Wage Survey (18)
- Construction Union Wage Rate Index (11)
- Estimates of Labour Income (9)
- Labour Productivity Measures - Provinces and Territories (Annual) (6)
- National Gross Domestic Product by Income and by Expenditure Accounts (4)
- Canadian Survey on Business Conditions (3)
- Public Sector Employment (2)
- Industrial Product Price Index (2)
- Survey of Wage Rates for Hired Farm Labour (2)
- Survey of Labour and Income Dynamics (2)
- National Household Survey (2)
- Canadian Employer-Employee Dynamics Database (2)
- Canadian System of Environmental-Economic Accounting - Ecosystem Accounting (2)
- Employment and Social Development Canada (2)
- Supply, Use and Input-Output Tables (1)
- Productivity Measures and Related Variables - National and Provincial (Annual) (1)
- Help Wanted Index Survey (1)
- Annual Survey on Rail Transportation (1)
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- Registered Apprenticeship Information System (1)
- Private nursing and residential care facilities (1)
- Income and Financial Data of Individuals, Preliminary T1 Family File (1)
- Canadian Income Survey (1)
- Survey of Postsecondary Faculty and Researchers (1)
Results
All (252)
All (252) (0 to 10 of 252 results)
- Table: 14-10-0204-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.Release date: 2024-03-28
- Table: 14-10-0206-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average hourly earnings for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 years.Release date: 2024-03-28
- Table: 14-10-0210-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average hourly earnings (including overtime) for salaried employees, by North American Industry Classification System (NAICS), last 5 years.Release date: 2024-03-28
- Table: 14-10-0203-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 months.Release date: 2024-03-28
- Table: 14-10-0205-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly earnings for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 months.Release date: 2024-03-28
- Table: 14-10-0209-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly earnings (including overtime) for salaried employees, by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-03-28
- Table: 14-10-0213-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Fixed weighted index (2002=100) of average hourly earnings for all employees, by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-03-28
- Table: 14-10-0216-01Geography: Canada, Province or territoryFrequency: QuarterlyDescription: Average weekly earnings (including overtime) for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.Release date: 2024-03-28
- Table: 14-10-0217-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average weekly earnings (including overtime) for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 years.Release date: 2024-03-28
- Table: 14-10-0220-01Geography: CanadaFrequency: MonthlyDescription: Number of employees and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-03-28
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Data (206)
Data (206) (0 to 10 of 206 results)
- Table: 14-10-0204-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 years.Release date: 2024-03-28
- Table: 14-10-0206-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average hourly earnings for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 years.Release date: 2024-03-28
- Table: 14-10-0210-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average hourly earnings (including overtime) for salaried employees, by North American Industry Classification System (NAICS), last 5 years.Release date: 2024-03-28
- Table: 14-10-0203-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average weekly earnings by North American Industry Classification System (NAICS), type of employee and overtime status, last 5 months.Release date: 2024-03-28
- Table: 14-10-0205-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly earnings for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 months.Release date: 2024-03-28
- Table: 14-10-0209-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly earnings (including overtime) for salaried employees, by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-03-28
- Table: 14-10-0213-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Fixed weighted index (2002=100) of average hourly earnings for all employees, by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-03-28
- Table: 14-10-0216-01Geography: Canada, Province or territoryFrequency: QuarterlyDescription: Average weekly earnings (including overtime) for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 quarters.Release date: 2024-03-28
- Table: 14-10-0217-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average weekly earnings (including overtime) for all employees by enterprise size and North American Industry Classification System (NAICS), last 5 years.Release date: 2024-03-28
- Table: 14-10-0220-01Geography: CanadaFrequency: MonthlyDescription: Number of employees and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-03-28
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Analysis (34)
Analysis (34) (0 to 10 of 34 results)
- Stats in brief: 11-001-X20240883555Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-03-28
- Stats in brief: 11-001-X20233054266Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2023-11-01
- Articles and reports: 36-28-0001202200200005Description:
Using 2016 Census and administrative data, this study estimates the differences in weekly earnings received by workers in designated visible minority and White categories, as defined by the Employment Equity Act, employed in four broad sectors of the Canadian workforce. Of central interest is whether differences in weekly earnings between these categories were larger in small and medium-size commercial enterprises than they were in large commercial enterprises and in organizations and enterprises in the non-commercial sector.
Release date: 2022-02-23 - Articles and reports: 81-595-M2021006Description:
The COVID-19 pandemic had large impacts on those in the skilled trades, as these jobs often require hands-on and close-proximity interactions. Using data from the Education and Labour Market Longitudinal Platform, this study examines the pandemic's impacts by investigating the proportion of journeypersons who received the CERB among those who certified between 2008 and 2019. By examining the proportions across trades, geography and population groups, this study can provide further insight into how the pandemic affected those in the skilled trades and how the impacts were different across trades and groups.
Release date: 2021-11-08 - Stats in brief: 11-001-X202131232483Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2021-11-08
- 6. Gender parity and the gender salary gap: Progress of full-time university academics over the last 40 years ArchivedStats in brief: 11-627-M2021037Description:
This infographic reviews gender parity and the salary gap among university academics (full professors, associate professors and assistant professors) and how it has changed over the last 40 years.
Release date: 2021-03-24 - Stats in brief: 11-627-M2021016Description:
This infographic features the earnings and mobility of newly-certified journeypersons across Canada. It presents mobility rates over time as well as key results among selected Red Seal trades for earnings and mobility.
Release date: 2021-03-10 - Articles and reports: 37-20-00012021001Description:
This technical reference guide is intended for users of the Education and Labour Market Longitudinal Platform (ELMLP). The data products associated with this release are derived from integrating the longitudinal Registered Apprenticeship Information System (RAIS) 2008 to 2018 data with other administrative data. Statistics Canada has derived a series of indicators on the earnings of newly registered journeypersons by cohort size and selected trades, for Canada, all provinces and for grouped territories.
Release date: 2021-03-10 - Stats in brief: 11-627-M2020068Description: Efforts to make a transition to a low carbon economy have raised concerns that workers displaced from traditional energy-producing sectors might experience substantial earnings declines after job loss. Using data from a rich administrative dataset, this infographic documents the employment and earnings trajectories of oil and gas workers who were displaced from 1995 to 2016.Release date: 2020-12-01
- Articles and reports: 11F0019M2020007Description:
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
Reference (12)
Reference (12) (0 to 10 of 12 results)
- Surveys and statistical programs – Documentation: 1713Description: 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: 2422Description: 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: 2602Description: 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: 2603Description: 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: 2612Description: 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: 2920Description: 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: 2935Description: 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: 3449Description: 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: 3701Description: 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: 5036Description: This survey will measure compensation paid to employees in various occupational categories in both the private and public sectors.
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