Hours of work and work arrangements

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All (332)

All (332) (0 to 10 of 332 results)

  • Data Visualization: 71-607-X2020009
    Description:

    This dashboard presents selected data that are relevant for monitoring the impacts of COVID-19 on economic activity in Canada. It includes data on a range of monthly indicators - real GDP, consumer prices, the unemployment rate, merchandise exports and imports, retail sales, hours worked and manufacturing sales -- as well as monthly data on aircraft movements, railway carloadings, and travel between Canada and other countries.

    Estimates are presented from January 2019 to the current reference month for each data series. The information will be updated continuously as new data becomes available, and additional series may be added to the dashboard as circumstances warrant.

    To support the analysis of time series movements in the data, the dashboard reports changes in each series on both a month-over-month and year-over-year basis. For most of the variables reported, information on cumulative changes in the data both prior and subsequent to the end of 2019 is also presented by indexing the level estimates to December 2019, as depicted in the accompanying charts.

    Release date: 2022-05-12

  • Table: 14-10-0028-01
    (formerly: CANSIM 282-0013)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of persons working part-time, by reason for part-time work, sex and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0030-01
    (formerly: CANSIM 282-0015)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by usual hours worked, job type (main or all jobs), sex, and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0032-01
    (formerly: CANSIM 282-0017)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by actual hours worked, job type (main or all jobs), sex, and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0034-01
    (formerly: CANSIM 282-0019)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by usual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0036-01
    (formerly: CANSIM 282-0021)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by actual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0042-01
    (formerly: CANSIM 282-0027)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of average usual hours and average actual hours worked in a reference week by type of work (full- and part-time employment), job type (main or all jobs), sex, and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0048-01
    (formerly: CANSIM 282-0035)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of multiple jobholders by usual hours worked at all jobs and main job, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0048-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of multiple jobholders by usual hours worked at main job and all jobs, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0050-01
    (formerly: CANSIM 282-0037)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by job tenure, type of work (full- and part-time employment), sex, and age group, last 5 months.
    Release date: 2022-05-06
Data (168)

Data (168) (0 to 10 of 168 results)

  • Data Visualization: 71-607-X2020009
    Description:

    This dashboard presents selected data that are relevant for monitoring the impacts of COVID-19 on economic activity in Canada. It includes data on a range of monthly indicators - real GDP, consumer prices, the unemployment rate, merchandise exports and imports, retail sales, hours worked and manufacturing sales -- as well as monthly data on aircraft movements, railway carloadings, and travel between Canada and other countries.

    Estimates are presented from January 2019 to the current reference month for each data series. The information will be updated continuously as new data becomes available, and additional series may be added to the dashboard as circumstances warrant.

    To support the analysis of time series movements in the data, the dashboard reports changes in each series on both a month-over-month and year-over-year basis. For most of the variables reported, information on cumulative changes in the data both prior and subsequent to the end of 2019 is also presented by indexing the level estimates to December 2019, as depicted in the accompanying charts.

    Release date: 2022-05-12

  • Table: 14-10-0028-01
    (formerly: CANSIM 282-0013)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of persons working part-time, by reason for part-time work, sex and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0030-01
    (formerly: CANSIM 282-0015)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by usual hours worked, job type (main or all jobs), sex, and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0032-01
    (formerly: CANSIM 282-0017)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by actual hours worked, job type (main or all jobs), sex, and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0034-01
    (formerly: CANSIM 282-0019)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by usual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0036-01
    (formerly: CANSIM 282-0021)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by actual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0042-01
    (formerly: CANSIM 282-0027)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of average usual hours and average actual hours worked in a reference week by type of work (full- and part-time employment), job type (main or all jobs), sex, and age group, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0048-01
    (formerly: CANSIM 282-0035)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of multiple jobholders by usual hours worked at all jobs and main job, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0048-02
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of multiple jobholders by usual hours worked at main job and all jobs, last 5 months.
    Release date: 2022-05-06

  • Table: 14-10-0050-01
    (formerly: CANSIM 282-0037)
    Geography: Canada, Province or territory
    Frequency: Monthly
    Description: Number of employed persons by job tenure, type of work (full- and part-time employment), sex, and age group, last 5 months.
    Release date: 2022-05-06
Analysis (154)

Analysis (154) (0 to 10 of 154 results)

  • Stats in brief: 11-001-X20220633313
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2022-03-04

  • Articles and reports: 36-28-0001202200200001
    Description:

    The substantial increase in telework observed since the beginning of the COVID-19 pandemic has raised the possibility that in the near future, some Canadian workers might be able to work from home for an employer located in another province or territory. This article focuses on this group of teleworkers and assesses the amount of people who worked remotely, the groups that were more likely to telecommute, their compensation compared to that of other teleworkers, and the amount of teleworkers that are likely to work remotely in the future.

    Release date: 2022-02-23

  • Stats in brief: 45-20-00032021005
    Description:

    This fourth installment of Eh-Sayers focusses on the growing market of gigs and their place in an ever-changing landscape of job flexibility and/or instability. What are the socio-economic benefits and drawbacks of a gig worker and how are they affected by Covid-19? As more people work remotely and the workday structure changes due to Covid-19, How will the Canadian economy reflect these changes moving forward? Paul Glavin, associate professor, Department of Sociology at McMaster University discusses the impact and acceleration, freedom and limitations for gig workers across the nation.

    Release date: 2022-01-07

  • Stats in brief: 11-001-X202134332266
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-12-09

  • Articles and reports: 11-633-X2021009
    Description:

    This study assesses the degree to which administrative data, namely the Statistics Canada Longitudinal Worker File, can be used to construct individuals’ work histories. It describes why information obtained from work histories is useful, provides a brief overview of Canadian datasets that have measured work histories to date, and highlights the strengths and weaknesses of the Longitudinal Worker File, and household surveys regarding the construction of individuals’ work histories.

    Release date: 2021-12-09

  • Articles and reports: 36-28-0001202101000001
    Description:

    Since the beginning of the COVID-19 pandemic, Statistics Canada has produced several studies on work from home. This article synthesizes the key findings of these studies and identifies questions for future research.

    Release date: 2021-10-27

  • Stats in brief: 11-001-X202121631723
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-08-04

  • Articles and reports: 36-28-0001202100500001
    Description:

    As is now well known, the COVID-19 pandemic substantially increased work from home in Canada. This “Spotlight on data and research” estimates to what extent Canadians would prefer working from home once the COVID-19 pandemic is over. The answer has potentially significant implications for future traffic congestion, public transit use, greenhouse gas emissions, demand for office space in city centres and for housing in suburbs, and the dynamism (or lack thereof) of retail trade stores and restaurants located in downtown areas.

    Release date: 2021-05-26

  • Stats in brief: 11-001-X20211404131
    Description: Release published in The Daily – Statistics Canada’s official release bulletin
    Release date: 2021-05-20

  • Articles and reports: 36-28-0001202100400005
    Description:

    The increase in telework observed in the wake of the COVID-19 pandemic shows that far more workers are able to work from home than had been observed prior to the pandemic.

    The economic costs of the pandemic to this point have been significant and pervasive, both in Canada and other countries. However, the rapid labour market adjustment to telework offers some potential longer-term benefits for a variety of reasons. More broadly, from urban planning and environmental perspectives, more widespread adoption of telework would result in less commuter traffic and greenhouse gas (GHG) emissions. This study estimates the extent to which commuter traffic would decrease, which modes of transportation would see the largest decreases and the resulting implications for GHG emissions if the Canadian economy were to operate at its maximum telework capacity, expressed relative to the commuter levels that prevailed before the pandemic.

    Release date: 2021-04-22
Reference (10)

Reference (10) ((10 results))

  • Surveys and statistical programs – Documentation: 15-206-X2006004
    Description:

    This paper provides a brief description of the methodology currently used to produce the annual volume of hours worked consistent with the System of National Accounts (SNA). These data are used for labour input in the annual and quarterly measures of labour productivity, as well as in the annual measures of multifactor productivity. For this purpose, hours worked are broken down by educational level and age group, so that changes in the composition of the labour force can be taken into account. They are also used to calculate hourly compensation and the unit labour cost and for simulations of the SNA Input-Output Model; as such, they are integrated as labour force inputs into most SNA satellite accounts (i.e., environment, tourism).

    Release date: 2006-10-27

  • 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: 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: 3831
    Description: The survey collected data to estimate hours of work that would be made available from voluntary work reduction and to determine the preference for various reduced work time patterns.

  • Surveys and statistical programs – Documentation: 3850
    Description: The survey was conducted by Statistics Canada on behalf of Human Resources Development Canada (HRDC). It collected data on the socio-demographic characteristics of the self-employed, as well as the hours they work, previous work experience, participation in dental, health and disability plans, income security, and their attitudes towards self-employment.

  • Surveys and statistical programs – Documentation: 3853
    Description: The objectives of this survey were to: measure the frequency and number of job changes occurring in the Canadian labour market over one-, two- and three-year periods; provide information on the characteristics of jobs held (wage rates, usual work schedules, etc.); identify groups of people who would benefit from EIC programs; and identify participants of specific EIC programs.

  • Surveys and statistical programs – Documentation: 3884
    Description: This survey collects information on work schedules, hours of work, flexible hours, home-based work, as well as on employee benefits and wages.

  • Surveys and statistical programs – Documentation: 5048
    Description: The objective of the Aboriginal Entrepreneurs Survey (AES) was to provide updated information on self-employed Aboriginal people and their businesses.

  • Surveys and statistical programs – Documentation: 5221
    Description: The two primary objectives of the General Social Survey (GSS) are to gather data on social trends in order to monitor changes in the living conditions and well being of Canadians over time; and to provide information on specific social policy issues of current or emerging interest. The mandate of the GSS "Canadians at Work and Home" is to explore people's views about work, home, leisure and well-being, and the relationships between these. Data from this survey will help decision makers select the programs and policies that will best serve Canadians.
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