Earnings, wages and non-wage benefits
Key indicators
Selected geographical area: Canada
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$1,267.544.5%(12-month change)
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488,5102.2%(monthly change)
More earnings, wages and non-wage benefits indicators
Selected geographical area: Canada
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10.0%(12-month change)
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-0.2%(quarterly change)
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6,927,094.03.2%(annual change)
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$59.10 per hour-2.2%(annual change)
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Geography
- Canada (377)
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- Census of Population (181)
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Results
All (853)
All (853) (30 to 40 of 853 results)
- Table: 14-10-0442-01Geography: Canada, Province or territoryFrequency: QuarterlyDescription: Number of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by three-digit North American Industry Classification System (NAICS) code, last 5 quarters.Release date: 2024-09-17
- Table: 14-10-0443-01Geography: Canada, Province or territoryFrequency: QuarterlyDescription: Number of job vacancies, proportion of job vacancies and average offered hourly wage by selected characteristics (type of work, minimum level of education sought, minimum experience level sought, duration of job vacancy, type of position, and recruitment strategies) and National Occupational Classification (NOC), last 5 quarters.Release date: 2024-09-17
- Table: 14-10-0444-01Geography: Canada, Province or territory, Economic regionFrequency: QuarterlyDescription: Number of job vacancies and average offered hourly wage by five-digit National Occupational Classification (NOC) code, last 5 quarters.Release date: 2024-09-17
- Table: 14-10-0331-01Geography: CanadaFrequency: MonthlyDescription: Historical releases of employment and average weekly earnings (including overtime) for all employees by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-09-16
- Table: 14-10-0332-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: 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.Release date: 2024-09-16
- Articles and reports: 75-006-X202400100006Description: Using data from the Labour Force Survey, this study assesses the degree to which employment and hourly wage rates of unpartnered mothers with young children have caught up to their partnered peers between 1997 and 2023. Focusing on mothers aged 18 to 49 with at least one child aged 5 or younger, the analysis examines differences between partnered (i.e., currently married or living common law) and unpartnered mothers, with disaggregation by unpartnered mothers who have never been married and those who were previously married. The study also examines employment and wage gaps by various diverse groups, such as the experiences of immigrant mothers, as well as Indigenous mothers.Release date: 2024-09-11
- Stats in brief: 11-001-X202425538265Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-09-11
- Stats in brief: 11-627-M2024031Description: This infographic uses data from the Labour Force Survey to look at trends in employment and wage among mothers with young children (age 5 and under). Special attention is paid to differences based on partnership status of mothers.Release date: 2024-09-11
- Table: 36-10-0689-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Data on paid workers jobs, hours worked and wages and salaries in the Canadian economy by workers' characteristics. This includes sex, age, level of education, immigration status and visible minority status by industry and province or territory.Release date: 2024-09-09
- Table: 14-10-0063-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, sex, and age group, last 5 months.Release date: 2024-09-06
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Data (451)
Data (451) (0 to 10 of 451 results)
- 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: 2024-09-26
- 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: 2024-09-26
- 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: 2024-09-26
- 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: 2024-09-26
- 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: 2024-09-26
- 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: 2024-09-26
- Table: 14-10-0220-02Geography: CanadaFrequency: MonthlyDescription:
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.
Release date: 2024-09-26 - Table: 14-10-0221-01Geography: CanadaFrequency: MonthlyDescription: 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.Release date: 2024-09-26
- Table: 14-10-0222-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employees, average hourly and weekly earnings (including overtime), and average weekly hours for the industrial aggregate excluding unclassified businesses, last 5 months.Release date: 2024-09-26
- Table: 14-10-0223-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: 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.Release date: 2024-09-26
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Analysis (362)
Analysis (362) (50 to 60 of 362 results)
- Articles and reports: 36-28-0001202200200004Description:
Although international students are increasingly considered a pool of skilled individuals to be encouraged for permanent residency and participation in the Canadian labour market, the role of Canadian study in economic outcomes after immigration is not well understood. To this end, this article examines the relationship between pre-immigration study in Canada and post-immigration earnings.
Release date: 2022-02-23 - 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: 36-28-0001202200100004Description:
Using data from the 2016 Census, this study compares the weekly earnings of individuals in designated visible minority and White categories, as defined in the Employment Equity Act. This paper addresses three sets of research questions. First, in 2015, were there significant differences in the estimated weekly earnings of individuals in designated visible minority categories relative to White people? Among which designated visible minority categories were differences in weekly earnings largest? Were these differences similar among women and men? Second, to what extent did sociodemographic and employment characteristics account for differences in average weekly earnings across designated visible minority and White categories? And third, were differences in average weekly earnings narrower, wider or about the same in 2015 as in 2005?
Release date: 2022-01-26 - Articles and reports: 36-28-0001202200100005Description:
While a large literature has documented the substantial and persistent earnings losses often experienced by displaced workers, relatively little is known regarding the educational strategies that prime-aged displaced workers use to cope with job loss. Specifically, the extent to which Canadian laid-off workers undergo re-skilling, i.e. enter new fields of study after losing their job or simply upgrade their skills and remain within their initial fields of study is currently unknown. This study fills this information gap using data from the Post-Secondary Information System (PSIS) in conjunction with Statistics Canada’s Longitudinal Worker file (LWF) and the Census of Population of 2006.
Release date: 2022-01-26 - 55. Comparing weekly earnings of Canadian-born individuals in designated visible minority and White categories ArchivedStats in brief: 11-001-X202202634583Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2022-01-26
- Articles and reports: 36-28-0001202101100003Description:
Since the 1990s, Canadian immigration policy has emphasized human capital, particularly education and language proficiency, in the selection of economic immigrants. While immigration and the domestic educational system continuously increase the supply of a university-educated labour force, there has been concern that skilled trades are an often-overlooked career option for many secondary school graduates, and that this may lead to labour shortages in skilled trades. This article examines trends in the number of economic immigrant principal applicants who intended to work in skilled trades, their sociodemographic characteristics, and their employment and earnings outcomes. Also, comparisons are made with other economic immigrant principal applicants.
Release date: 2021-11-24 - Stats in brief: 11-001-X202131232483Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2021-11-08
- 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 - Articles and reports: 36-28-0001202100900002Description:
In Canada, the gender wage gap continues to persist and nearly two-thirds of the gap was still unexplained by standard factors such as level of education, job attributes, proportions of women and men in higher-paying occupations or industries, and demographics. This points to a continued need for analysis in this area in order to better understand gender-based wage disparity, including gender-related biases in career advancement. Using new content developed in the 2016 General Social Survey (GSS Cycle 30): Canadians at Work and Home, this study investigates the possible existence and magnitude of gender-related biases in career advancement that may prevent women from advancing in their careers.
Release date: 2021-09-22 - Articles and reports: 75F0002M2021006Description:
Statistics Canada has undertaken a broad range of initiatives designed to understand the impacts of COVID-19 on Canadians. This update extends earlier, experimental research into monthly family income trends of Canadians over the pandemic period. The approach integrates weekly earnings available from the Canadian Labour Force Survey (LFS) together with information specific to government transfers including special COVID-19 benefits collected through administrative data sources and imputation. This update incorporates additional data sources and takes into account the emergency programs introduced at the beginning of the pandemic as well as the recovery programs introduced in late September 2020 to replace them. Population coverage is consistent with the second edition, however experimental estimates have been updated and extended through March 2021. The paper describes the data sources used, estimation strategies employed, limitations, and potential future developments.
Release date: 2021-07-28
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Reference (40)
Reference (40) (20 to 30 of 40 results)
- 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: 2609Description: The purpose of the survey is to provide information on the terms and conditions of Registered Pension Plans (RPPs), membership in them and contributions made by and on behalf of the members.
- Surveys and statistical programs – Documentation: 2610Description: The published data provided by this survey provided detailed information on contributors and beneficiaries for the purpose of employment and economic research by government departments.
- 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: 2614Description: The Business Payrolls Survey (BPS) is the collection instrument for the Survey of Employment Payrolls and Hours (SEPH, record number 2612). The results of the BPS and administrative data are combined to produce the SEPH estimates. For more information, please see record number 2612, Survey of Employment, Payrolls and Hours (SEPH) in the Documentation section below.
- 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: 2946Description: 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.
- 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.
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