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

Number of job vacancies and payroll employees, and job vacancy rate by two-digit North American Industry Classification System (NAICS) code, last 5 months.

Payroll employment, by industry

Average full-time hourly wage paid and payroll employment by type of work, economic region and National Occupational Classification (NOC), 2016 and 2017.

The wages on the Job Bank website are specific to an occupation and provide information on the earnings of workers at the regional level. Wages for most occupations are also provided at the national and provincial level. In Canada, all jobs are associated with one specific occupational grouping which is determined by the National Occupational Classification. For most occupations, a minimum, median and maximum wage estimates are displayed. They are update annually. If you have comments or questions regarding the wage information, please contact the Labour Market Information Division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca

The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest and important measures of performance of the Canadian economy. The LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. 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. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector. This public use microdata file contains non-aggregated data for a wide variety of variables collected from the Labour Force Survey (LFS). It contains both personal characteristics for all individuals in the household and detailed labour force characteristics for household members 15 years of age and over. The personal characteristics include age, sex, marital status, educational attainment, and family characteristics. Detailed labour force characteristics include employment information such as class of worker, usual and actual hours of work, employee hourly and weekly wages, industry and occupation of current or most recent job, public and private sector, union status, paid or unpaid overtime hours, job permanency, hours of work lost, job tenure, and unemployment information such as duration of unemployment, methods of job search and type of job sought. Labour force characteristics are also available for students during the school year and during the summer months as well as school attendance whether full or part-time and the type of institution.LFS revisions: Labour force surveys are revised on a periodic basis. The most recent revisions took place in 2025. As of January 2025, LFS microdata and estimates have been adjusted to reflect population counts from the 2021 Census, with revisions going back to 2011. Additionally, several changes were made to key variables on the PUMFs: Survey weights (FINALWT) have been updated to use 2021 Census population control totals. Sub-provincial geography (CMA) has been updated to the 2021 Standard Geographical Classification (SGC) boundaries. All industry data (NAICS_21) was revised to use the latest standard, North American Industry Classification System (NAICS) 2022. Coding enhancements were applied to improve longitudinal consistency of detailed National Occupational Classification data (NOC_10 and NOC_43). Data were revised to use the gender of person instead of sex (GENDER).

In 2022, the total employment income through wages, salaries, and commissions in Canada increased by 100 billion dollars (+9.43 percent) since 2021. With 1.2 trillion dollars, the total income thereby reached its highest value in the observed period.

The number of employed people in Canada amounted to approximately 20.72 million people in 2024. Between 1980 and 2024, the number rose by around 9.74 million people, though the increase followed an uneven trajectory rather than a consistent upward trend. From 2024 to 2026, the number will increase by about 220 thousand people.The indicator describes the number of employed people. This refers to persons who during a pre-defined period, either: a) performed wage or salary work, b) held a formal attachment to their job (even if not currently working), (c) performed for-profit work for personal or family gain , (d) were with an enterprise although temporarily not at work for any specific reason.

Employment in Canada increased by 83.10 in June of 2025. This dataset provides the latest reported value for - Canada Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Average full-time hourly wage paid and payroll employment by type of work, economic region and National Occupational Classification (NOC), 2016 and 2017.

Non Farm Payrolls in Canada increased by 18215 thousand in April of 2025. This dataset provides - Canada Non Farm Payrolls- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This Alberta Official Statistic compares the average weekly earnings (including overtime) of all payroll employees for Canada and provinces from 2001 to 2014. Estimates of average weekly earnings and hours worked are based on a sample and are therefore subject to sampling variability. This analysis focuses on differences between estimates that are statistically significant at the 68% confidence level. Payroll employment estimates are based on a census of administrative data and are not subject to sampling variability.

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. They are published annually by Statistics Canada’s Small Business and Special Surveys Division, which derives the Dynamics figures from information supplied by the Business and Labour Market Analysis Division. Primarily, the tables are used to analyze how businesses of different sizes contribute to employment change in the economy. Net year-over-year changes in total employment are broken down according to the following gross components, which are calculated for individual employment-size groupings of firms: Job gains attributed to newly identified employers; Job losses attributed to firms that ceased to be identified as employers; Job gains attributed to continuing employers that increased their respective employment levels; Job losses attributed to continuing employers that decreased their respective employment levels; The Dynamics are also useful in that they provide estimated counts of entries and exits of businesses from the employer population in Canada. The data cover all private and public sector businesses or organizations (including public administration) that issue T4 slips to employees for taxation purposes. Both incorporated and unincorporated entities are included, but only if they issue T4 slips to employees. In other words, non-employers are not included in the figures.

The age groups available in the dataset are: 15+, 15-24, 20-34, 25+, 25-34, 25-54, 25-64 and 55+.

The education levels include: 0-8 yrs., some high school, high school graduate, some post-secondary, post-secondary certificate diploma (trade certificate or diploma, community college/CEGEP, university certificate below bachelor's degree) and university degree.

Canada LFS: Employees Wages: Manufacturing data was reported at 1,791.700 CAD th in Feb 2025. This records an increase from the previous number of 1,787.300 CAD th for Jan 2025. Canada LFS: Employees Wages: Manufacturing data is updated monthly, averaging 1,747.100 CAD th from Jan 1997 (Median) to Feb 2025, with 338 observations. The data reached an all-time high of 2,310.000 CAD th in Aug 2002 and a record low of 1,363.500 CAD th in Apr 2020. Canada LFS: Employees Wages: Manufacturing data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.G030: Labour Force Survey: Employees Wages.

Canada CA: Wages Index: Manufacturing data was reported at 113.326 2010=100 in 2016. This records an increase from the previous number of 111.801 2010=100 for 2015. Canada CA: Wages Index: Manufacturing data is updated yearly, averaging 45.510 2010=100 from Dec 1948 (Median) to 2016, with 69 observations. The data reached an all-time high of 113.326 2010=100 in 2016 and a record low of 4.086 2010=100 in 1948. Canada CA: Wages Index: Manufacturing data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Canada – Table CA.IMF.IFS: Wages, Labour Cost and Employment Index: Annual.

This table contains 393 series, with data for years 1981 - 2012 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (16 items: Canada and outside Canada;Newfoundland and Labrador;Prince Edward Island ...), Public sector, components (2 items: Employment;Wages and salaries ...), Sector (12 items: Public sector;Federal general government;Provincial and territorial general government;Government ...), Seasonal adjustment (2 items: Unadjusted;Seasonally adjusted ...).

Forecast: Wages and Salaries in Employment Services in Canada 2023 - 2027 Discover more data with ReportLinker!

The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. 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. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. 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. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Employment and Social Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector. Note: Because missing values are removed from this dataset, any form of non-response (e.g. valid skip, not stated) or don't know/refusal cannot be coded as a missing. The "Sysmiss" label in the Statistics section indicates the number of non-responding records for each variable, and the "Valid" values in the Statistics section indicate the number of responding records for each variable. The total number of records for each variable is comprised of both the sysmiss and valid values. LFS revisions: LFS estimates were previously based on the 2001 Census population estimates. These data have been adjusted to reflect 2006 Census population estimates and were revised back to 1996.

Canada CA: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data was reported at 84.246 % in 2023. This records an increase from the previous number of 83.900 % for 2022. Canada CA: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 81.109 % from Dec 1991 (Median) to 2023, with 33 observations. The data reached an all-time high of 84.246 % in 2023 and a record low of 79.580 % in 1998. Canada CA: Wage And Salary Workers: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Employment and Unemployment. Wage and salaried workers (employees) are those workers who hold the type of jobs defined as 'paid employment jobs,' where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.;International Labour Organization. “ILO modelled estimates database” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;