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Geography
- Canada (232)
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Survey or statistical program
- Labour Force Survey (102)
- Census of Population (97)
- Canadian Survey on Business Conditions (27)
- Survey of Employment, Payrolls and Hours (25)
- National Household Survey (13)
- Time Use Survey (9)
- Labour Productivity Measures - Provinces and Territories (Annual) (6)
- Human Resources Module of the Canadian Economy (5)
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- Survey of Labour and Income Dynamics (4)
- Productivity Measures and Related Variables - National and Provincial (Annual) (3)
- Longitudinal and International Study of Adults (3)
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- General Social Survey: Canadians at Work and Home (2)
- Canadian Employer-Employee Dynamics Database (2)
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- Survey of Employment, Payrolls and Man-hours (1)
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- Annual Survey of Small For-Hire Carriers of Freight and Owner-Operators (1)
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- General Social Survey - Education, Work and Retirement (1)
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- Canadian Perspectives Survey Series (CPSS) (1)
- Impacts of the COVID-19 pandemic on postsecondary students (ICPPS) (1)
- Nursing and Residential Care Facility Survey (NRCFS) (1)
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Results
All (435)
All (435) (50 to 60 of 435 results)
- Stats in brief: 11-001-X202411338008Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-04-22
- Table: 14-10-0207-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
This table contains 42120 series, with data for years 2016 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Atlantic provinces; Newfoundland and Labrador; Prince Edward Island; ...); Age group (10 items: Total, 15 years and over; 15 to 24 years; 25 to 54 years; 25 to 34 years; ...); Sex (3 items: Both sexes; Males; Females); Employment type (3 items: Total, employment type; Paid worker; Self-employed); Response (9 items: Total, satisfaction with work-home balance; Very satisfied or satisfied; Very satisfied; Satisfied; ...); Estimates (4 items: Number of persons; Percentage of persons; Low 95% confidence interval, percent; High 95% confidence interval, percent).
Release date: 2024-03-28 - Table: 14-10-0208-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average weekly hours 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: 14-10-0212-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Number of hours in a standard work week for salaried employees, by North American Industry Classification System (NAICS), last 5 years.Release date: 2024-03-28
- Table: 13-10-0892-01Geography: CanadaFrequency: Every 5 yearsDescription: Differences in the number and proportion of persons with disabilities who are employed in part-time work by main reason (grouped) for working less than 30 hours a week and age group.Release date: 2024-03-28
- 56. Average weekly hours (including overtime) for employees paid by the hour, by enterprise size, annualTable: 14-10-0219-01Geography: Canada, Province or territoryFrequency: AnnualDescription: Average weekly hours (including overtime) for employees paid by the hour, by enterprise size and North American Industry Classification System (NAICS), last 5 years.Release date: 2024-03-28
- Articles and reports: 36-28-0001202400300005Description: Temporary residents constitute an important supply of labour for the Canadian economy. However, some of them do not work in a given year, even when holding a valid work permit. This article estimates the share of temporary residents who had paid employment but were “weakly attached” to the Canadian labour market in 2019.Release date: 2024-03-27
- Table: 98-10-0644-01Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: OccasionalUniverse: Persons in private households in occupied private dwellings, 2021 and 2016 censuses — 25% Sample dataVariable list: Highest certificate, diploma or degree (6A), Gender (3a), Age and first official language spoken (10), Immigrant and generation status (9), Visible minority (15), Percent, Census year (2)Description: Population who worked mainly full-time for most of the weeks during the reference year by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, diploma or degree), for the population aged 15 years and over in private households in Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts.Release date: 2024-03-26
- Table: 98-10-0645-01Geography: Canada, Geographical region of Canada, Province or territory, Census metropolitan area, Census metropolitan area partFrequency: OccasionalUniverse: Persons in private households in occupied private dwellings, 2021 and 2016 censuses — 25% Sample dataVariable list: Class of worker (5B), Gender (3a), Age and first official language spoken (10), Immigrant and generation status (9), Visible minority (15), Highest certificate, diploma or degree (6A), Percent, Census year (2)Description: Class of worker – variant on self-employed by visible minority and selected characteristics (age group, gender, first official language spoken, immigrant status, period of immigration, generation status and highest certificate, diploma or degree), for the population aged 15 years and over in private households in Canada, geographical regions of Canada, provinces and territories and census metropolitan areas with parts.Release date: 2024-03-26
- Articles and reports: 75-004-M2024001Description: This article aims to improve the statistical measurement of the gig economy by defining the three core concepts of gig work, digital platform employment and dependent self-employment and provides estimates of the three phenomena using data from supplements to the Labour Force Survey (LFS).Release date: 2024-03-04
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Data (231)
Data (231) (0 to 10 of 231 results)
- Table: 14-10-0211-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of hours in a standard work week for salaried employees, by North American Industry Classification System (NAICS), last 5 months.Release date: 2024-10-31
- 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: 2024-10-31
- 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: 2024-10-31
- Table: 14-10-0255-01Geography: Canada, Province or territoryFrequency: MonthlyDescription:
Average weekly hours for employees paid by the hour, by North American Industry Classification System (NAICS) and overtime status, last 5 months.
Release date: 2024-10-31 - Table: 14-10-0028-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of persons working part-time, by reason for part-time work, sex and age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0030-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employed persons by usual hours worked, job type (main or all jobs), sex, and age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0032-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employed persons by actual hours worked, job type (main or all jobs), sex, and age group, last 5 months.Release date: 2024-10-11
- Table: 14-10-0034-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employed persons by usual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.Release date: 2024-10-11
- Table: 14-10-0036-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: Number of employed persons by actual hours worked, class of worker, North American Industry Classification System (NAICS), and sex, last 5 months.Release date: 2024-10-11
- Table: 14-10-0042-01Geography: Canada, Province or territoryFrequency: MonthlyDescription: 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: 2024-10-11
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Analysis (194)
Analysis (194) (10 to 20 of 194 results)
- Articles and reports: 89-652-X2024003Description: Using data from the 2022 Time Use Survey, this study explores how teleworking is associated with time use and well-being. Two primary research questions are addressed: First, is teleworking associated with time use – such as time in sleep, paid and unpaid work, and leisure? Second, is teleworking associated with work-life balance and time pressure?Release date: 2024-06-05
- Stats in brief: 11-001-X202415737424Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-06-05
- Articles and reports: 71-222-X2024001Description: This article sheds light on the diverse experiences of self-employed workers in Canada by analysing additional indicators such as the prevalence of gig work, plans for the future, and the ability to find clients.Release date: 2024-06-03
- Stats in brief: 11-001-X20241424131Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-05-21
- Articles and reports: 18-001-X2024001Description: This study applies small area estimation (SAE) and a new geographic concept called Self-contained Labor Area (SLA) to the Canadian Survey on Business Conditions (CSBC) with a focus on remote work opportunities in rural labor markets. Through SAE modelling, we estimate the proportions of businesses, classified by general industrial sector (service providers and goods producers), that would primarily offer remote work opportunities to their workforce.Release date: 2024-04-22
- Stats in brief: 11-001-X202411338008Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2024-04-22
- Articles and reports: 36-28-0001202400300005Description: Temporary residents constitute an important supply of labour for the Canadian economy. However, some of them do not work in a given year, even when holding a valid work permit. This article estimates the share of temporary residents who had paid employment but were “weakly attached” to the Canadian labour market in 2019.Release date: 2024-03-27
- Articles and reports: 75-004-M2024001Description: This article aims to improve the statistical measurement of the gig economy by defining the three core concepts of gig work, digital platform employment and dependent self-employment and provides estimates of the three phenomena using data from supplements to the Labour Force Survey (LFS).Release date: 2024-03-04
- Articles and reports: 75-006-X202400100002Description: Using 2021 Census data, this article examines the link between working from home and the languages used at work. It focuses on three Census metropolitan areas (CMAs) of Moncton, Montréal and Ottawa–Gatineau—three regions where both English and French are used widely at work.Release date: 2024-01-31
- Articles and reports: 36-28-0001202400100002Description: The increase in work from home triggered by the COVID-19 pandemic directly decreased public transit use. While this increase in work from home likely reduced commuting and greenhouse gas emissions caused by transportation, it also put downward pressure on the revenues and ridership of urban public transit systems. This article assesses the degree to which the increase in work from home observed in Canada in recent years may have reduced the number of public transit commuters from 2016 to 2023 in urban areas.Release date: 2024-01-24
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Reference (10)
Reference (10) ((10 results))
- 1. Producing Hours Worked for the SNA in Order to Measure Productivity: The Canadian Experience ArchivedSurveys and statistical programs – Documentation: 15-206-X2006004Description:
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: 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: 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: 3831Description: 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: 3850Description: 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: 3853Description: 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: 3884Description: 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: 5048Description: 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: 5221Description: 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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