Earnings, wages and non-wage benefits

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.

Description: Release published in The Daily – Statistics Canada’s official release bulletin

Description: Survey of Employment, Payrolls and Hours (SEPH) and the Labour Force Survey (LFS) each provide monthly indicators of pay received by employees. Year-over-year variations in average weekly earnings (from SEPH) and average hourly wages (from LFS) provide information on current wage dynamics. This guide provides information to help analysts use each indicator by highlighting their key conceptual and measurement differences. It also outlines possible causes of variations for each indicator and provides general examples of using both measures.

Description: Number of employment insurance beneficiaries by census metropolitan category, total and regular income benefits, declared earnings, sex, and age group, last 5 months.

Description: Number of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by economic region, last 5 quarters.

Description: 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.

Description: 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.

Description: Number of job vacancies and average offered hourly wage by five-digit National Occupational Classification (NOC) code, last 5 quarters.

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.

Description: Number of employment insurance beneficiaries by census metropolitan category, total and regular income benefits, declared earnings, sex, and age group, last 5 months.

Description: Number of job vacancies and payroll employees, job vacancy rate, and average offered hourly wage by economic region, last 5 quarters.

Description: 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.

Description: 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.

Description: Number of job vacancies and average offered hourly wage by five-digit National Occupational Classification (NOC) code, last 5 quarters.

Description:

Construction union wage rates (CUWRI) by National Occupational Classification (NOC). Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods.

Description:

Construction union wage rates (CUWRI) by National Occupational Classification (NOC). Monthly data are available from January 1972. The table presents month-over-month and year-over-year percentage changes.

Description:

Construction union wage rate index (CUWRI) by National Occupational Classification (NOC). Monthly data are available from January 1971. The table presents data for the most recent reference period and the last four periods. The base period for the index is 2015=100.

Description:

Several recent studies have found that earnings inequality in Canada has grown considerably since the late 1970's. Using an extraordinary data base drawn from longitudinal income tax records, we decompose this growth in earnings inequality into its persistent and transitory components. We find that the growth in earnings inequality reflects both an increase in long-run inequality and an increase in earnings instability. Our large sample size enables us to estimate and test richer models than could be supported by the relatively small panel surveys used in most previous research on earnings dynamics. For example, we are able to incorporate both heterogeneous earnings growth and a random-walk process in the same model, and we find that both are empirically significant.

Description:

To supplement the Services Indicators tables that regularly carry employment and remuneration data on six broad services industries for the most recent eight quarters, this section offers an historical overview of these same indicators, compiled annually, dating back to 1984. Employment shifts in these six industries from 1984 to 1997 are described, followed by detailed tables that quantify some aspects of services sector employment.

Description:

This study examines the upward mobility of low-paid Canadians between 1993 and 1995 using data from the Survey of Labour and Income Dynamics (SLID).

Description:

This study looks at men and women who experienced an increase in their employment earnings following the last recession and aims to identify the factors and characteristics that created that increase.

Description:

The wage opportunities afforded different racial groups vary considerably. This paper presents a new analysis of wage differentials for different visible minority groups in Canada which also accounts for immigration background. It uses data from the Survey of Labour and Income Dynamics (SLID).

Description:

In this chapter we document trends in social transfers, market incomes and family composition from 1973 through 1995, and their impact on the incidence of low-income among four generations: children (new-borns to those 14 years of age), young adults (25 to 34), the older working-age population (45 to 54), and the elderly (over 65).

Description:

Our objective is to obtain an accurate estimate of the degree of intergenerational income mobility in Canada. We use income tax information on about 400,000 father-son pairs, and find intergenerational earnings elasticities to be about 0.2. Earnings mobility tends to be slightly greater than income mobility, but non-parametric techniques uncover significant non-linearities in both of these relationships. Intergenerational earnings mobility is greater at the lower end of the income distribution than at the upper end, and displays an inverted V-shape elsewhere. Intergenerational income mobility follows roughly the same pattern, but is much lower at the very top of the income distribution.

Description:

Controlling for observable worker attributes, we find that computer use is associated with a wage premium of at most 14%. Following Dinardo and Pischke (1997), we examine the wage premium associated with other tools used on the job. While these authors find a significant wage premium for the use of pencils or for sitting down while working, we find a substantial and robust wage premium for the use of a fax machine. Using a variety of reasonable specifications of wage equations including both a computer use indicator and a fax use indicator, we consistently find a stronger effect for fax machines than for computers. Along with Dinardo and Pischke (1997), we argue that workers who use computers earn more than other employees not because of their computing skills per se, but rather because they have more other unobserved skills - innate or learned through school - than other employees.

Description:

The study examines the reason for the significant increase in the 'age premium' over the period 1981-94. The age premium refers to the percentage difference in hourly earnings between 'younger' (25-34) and 'older' (45-54) workers. In 1994, the hourly rate of older males was 32.4% higher than that of younger males. The corresponding age premium among females was 15.5%. Over the period 1981-94, the age premium increased by 15.7 percentage points among males and 19.5 percentage points among females.

Evidence based on analysis of the Survey of Consumer Finances (SCF) public use microdata shows that, while there has been a trend toward non-standard employment, this so far has affected mostly workers under age 25 and cannot explain the rise in the age premium between ages 25-to-34 and 45-to-54, which is the focus of this study.

A more likely explanation identified by the study is the dramatic improvement in the level of education of older workers over the last 14 years. For example, from 1981 to 1994 the percentage of older male workers with grade 10 education or less declined from 41.9% to 19.6%, while the percentage with post-secondary diplomas and degrees increased from 32.1% to 51.7%. The education level of younger male workers also improved over the same period, but the rate of improvement was smaller and, by 1994, there was virtually no difference in the incidence of post-secondary diplomas and degrees between younger and older workers. Similar trends took place among female workers. Shift-share analysis shows that the narrowing of the education gap between older and younger workers explains 44% of the age premium rise among male employees and 50% of the age premium rise among female employees.

Description:

The increase in earnings inequality among men in particular in Canada has been well documented. This paper adds to our knowledge of inequality trends by addressing three issues. First, what has happened to earnings inequality among the employed population in the 1990s? We find that earnings inequality and polarization increased little in the population of all workers (men and women combined) between the mid-1980s and mid-1990s. The second question relates to the impact of the changing propensity of Canadians to hold a job on earnings inequality. Put another way, if we focus on the entire population of working age Canadians (those with and without paid employment), what are the inequality trends. We find that earnings inequality among the working age population changed little over the 1980s and 1990s. This analysis incorporates both the influence of the changing employment/population ratio and inequality trends among employed workers on overall earnings inequality among the working age population. But this relative stability in overall earnings inequality since the mid-1980s masks a number of offsetting underlying trends. Some groups of workers are making earnings gains (notably older workers, and women) while others are losing (notably younger workers and men). This paper focuses in particular on the earnings trends among younger workers, and finds that the decline in annual earnings of younger male workers in particular is associated with a decline in real hourly wages.

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).

Description: 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.

Description: 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.

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.

Description: 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.

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).

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.

Description: 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.

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).

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.