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Labour Force Survey 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. Objective 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. Collection 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).
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TwitterNumber of persons in the labour force (employment and unemployment) and unemployment rate, by North American Industry Classification System (NAICS), gender and age group.
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Labor Force Participation Rate in Canada increased to 65.30 percent in October from 65.20 percent in September of 2025. This dataset provides the latest reported value for - Canada Labor Force Participation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
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Employment in Canada increased by 66.60 in October 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.
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In this dataset, you can access monthly labor market statistics, such as unemployment numbers and percentages from 1976 to the present.
The data is broken out by: - Canada and its provinces (not including territories) - Provides numbers and percentages - Suppresses some values due to privacy
The data are compiled by month, making it a much more accessible version than the one available at a month-by-month level from the Statistics Canada website.
The following dimensions are available: - REF_DATE:The reference period (by year, month) - GEO: The geographic area - Sex: The sex being investigated - Age group: The age group of the economic measure - Employment: Number of persons who, during the reference week, worked for pay or profit, or performed unpaid family work or had a job but were not at work due to own illness or disability, personal or family responsibilities, labour dispute, vacation, or other reason. - Full-time employment: Full-time employment consists of persons who usually work 30 hours or more per week at their main or only job. - Labour force: Number of civilian, non-institutionalized persons 15 years of age and over who, during the reference week, were employed or unemployed. - Part-time employment: Part-time employment consists of persons who usually work less than 30 hours per week at their main or only job. Part-time employment consists of persons who usually work less than 30 hours per week at their main or only job. - Population: Number of persons of working age, 15 years and over. - Unemployment: Number of persons who, during the reference week, were without work, had looked for work in the past four weeks, and were available for work. Those persons on layoff or who had a new job to start in four weeks or less are considered unemployed. - Employment rate: The employment rate is the number of persons employed expressed as a percentage of the population 15 years of age and over. - Participation rate: The participation rate is the number of labour force participants expressed as a percentage of the population 15 years of age and over. - Unemployment rate: The unemployment rate is the number of unemployed persons expressed as a percentage of the labour force.
Table 14-10-0287-03 Labour force characteristics by province, monthly, seasonally adjusted
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TwitterThe number of employed people in Canada stood at 20.72 million people in 2024. Between 1980 and 2024, the number rose by 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 360,000 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.
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TwitterNumber of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by province, gender and age group. Data are presented for 12 months earlier, previous month and current month, as well as year-over-year and month-to-month level change and percentage change. Data are also available for the standard error of the estimate, the standard error of the month-to-month change and the standard error of the year-over-year change.
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TwitterIn 2022, the labour participation rate of both sexes at all age groups in Canada remained nearly unchanged at around ** percent. However, 2022 marked the second consecutive increase of the labour participation rate.
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Number of persons in the labour force (employment and unemployment) and not in the labour force, unemployment rate, participation rate, and employment rate, by gender and detailed age group.
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Employment Rate in Canada increased to 60.80 percent in October from 60.60 percent in September of 2025. This dataset provides - Canada Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.
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The Labour Force Survey provides estimates of employment and unemployment which are among the timeliest 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.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, either to adopt the most recent geography, industry and occupation classifications; to use new observations to fine-tune seasonal adjustment factors; or to introduce methodological enhancement. Prior LFS revisions were conducted in 2011, 2015 and 2021. The most recent revisions to the LFS were conducted in 2023. The first major change was a transition to the National Occupational Classification (NOC) 2021 V1.0, with all LFS series from 1987 onwards having been revised to the new classification. The second major change were methodological enhancements to LFS data processing, applied to all LFS series beginning Jan 2006. The third major change was a revision of seasonal adjustment factors, applied to LFS series Jan 2002 onward. A list of prior versions of this LFS dataset can be found under the ‘Versions’ tab.
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TwitterIn 2022, around 1.7 million persons between the ages of 20 and 24 years old were employed in Canada. A further 2.3 million people between the ages of 30 and 34 years old were employed nationwide in that year.
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TwitterHiring Lab's Job Postings Tracker is being re-released as the Indeed Job Postings Index. By Chris Glynn
Indeed Hiring Lab is re-releasing our Job Postings Tracker as the Indeed Job Postings Index, a daily measure of labor market activity that is updated and will continue to be released weekly. Covering seven national markets in the US, Canada, United Kingdom, Ireland, France, Germany, and Australia, the Indeed Job Postings Index meets one of Hiring Lab’s primary goals: produce high quality and high frequency labor market metrics using Indeed’s proprietary data.
The primary difference between the Indeed Job Postings Index and the legacy Job Postings Tracker is the level. The Indeed Job Postings Index is set to 100 on February 1, 2020, and this effectively provides a uniform level shift of 100 to the existing Job Postings Tracker across all time points.The Job Postings Tracker measured the percent change in postings from February 1st, 2020. For example, if the Job Postings Tracker were 40%, the corresponding Indeed Job Postings Index on the same date would be 140. Additionally, we are now including year-over-year and month-over-month percent changes in the Indeed Job Postings Index as part of our data portal on hiringlab.org/data and on our GitHub page. Month-over-month changes are calculated as 28 day (4 week) differences to control for day of week.
As Covid-19 fades from the global labor market discussion, moving to an index better reflects current economic conditions. The Indeed Job Postings Index allows us to compare job postings more naturally across flexible date ranges as opposed to comparing to the pre-pandemic baseline. It also places Indeed’s job postings metric in a broader class of macroeconomic indexes such as the Case Shiller Index that measures house price appreciation and the Consumer Price Index that measures inflation.
Data Schema Each market covered by a Hiring Lab economist has a folder in this repo. Each folder contains the following files:
aggregate_job_postings_{country_code}.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings and new jobs postings (on Indeed for 7 days or fewer) for that market, as well as non-seasonally adjusted postings since February 1, 2020 for total job postings.
job_postings_by_sector_{country_code}.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for occupational sectors for that market. We do not share sectoral data for Ireland.
For certain markets, we also share subnational job postings trends. In the United States, we provide:
metro_job_postings_us.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in US metropolitan areas with a population of at least 500,000 people.
state_job_postings_us.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in the US states and the District of Columbia.
In Canada, we provide:
provincial_postings_ca.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in each Canadian provinces. In the United Kingdom, we provide:
regional_postings_gb.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in each region in the UK.
city_postings_gb.csv This file contains the % change in seasonally-adjusted postings since February 1, 2020 for total job postings in each city in the UK.
Github link: https://github.com/hiring-lab/job_postings_tracker#data-schema Hiring Lab Link: https://www.hiringlab.org/2022/12/15/introducing-the-indeed-job-postings-index/
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Dataset Description: "LinkedIn Canada: Data Science Jobs 2024"
Overview: The "LinkedIn Canada: Data Science Jobs 2024" dataset presents an insightful overview of the data science job market in Canada as sourced from LinkedIn. This dataset, comprising 300 unique entries, meticulously details various aspects of job postings including company information, job titles, locations, contract types, experience levels, and industry sectors. It serves as a compact yet rich resource for understanding the landscape of data science employment opportunities in Canada at the beginning of 2024.
Data Science and Analysis Possibilities: Given its focused scope, this dataset is ideally suited for targeted data analysis and research within the realm of the Canadian data science job market. Analysts and researchers can utilize this dataset to: - Identify trends in job availability across different provinces or cities in Canada. - Analyze the distribution of job types and roles within the data science field. - Compare qualifications and experience levels sought by employers. - Investigate sector-specific demand for data science skills. While the dataset's size may limit broad generalizations, it offers an excellent opportunity for niche analyses and case studies.
Column Descriptors: The dataset contains the following key columns:
-Company Name: The name of the company posting the job.
-Job Title: The title of the job posting.
-Location: Geographical location of the job.
-Contract Type: Type of employment contract offered (e.g., Full-time, Part-time).
-Experience Level: Required experience level for the job (e.g., Entry-level, Mid-Senior level).
-Sector: Industry sector of the job posting.
-Description: Brief description of the job role and responsibilities.
-Applications Count: Number of applicants for the job.
-Published At: The date when the job was posted
Ethical Data Collection: Adhering to ethical data collection practices, this dataset was gathered using Apify, ensuring that it conforms to LinkedIn’s data use policies and respects user privacy. This approach guarantees that the dataset is not only accurate and relevant but also responsibly sourced.
Acknowledgments: We are grateful to LinkedIn and Apify for their essential roles in providing and facilitating access to such valuable job market data. Their contribution is pivotal in enabling a deeper understanding of employment trends in the data science sector.
Image Credit: The image visualizing this dataset was created using Dall-E 3, reflecting the innovative intersection of artificial intelligence and art. This visual aid enhances the presentation of the dataset, symbolizing its thematic focus and contemporary relevance.
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Techsalerator's Job Openings Data for Canada: A Comprehensive Resource for Employment Insights
Techsalerator's Job Openings Data for Canada is a powerful tool for businesses, job seekers, and labor market analysts looking for detailed insights into the Canadian job market. This dataset compiles job openings from a variety of sources, including company websites, job boards, and recruitment agencies, offering a clear picture of employment opportunities across multiple industries in Canada.
To access Techsalerator’s Job Openings Data for Canada, please contact info@techsalerator.com with your specific requirements. We offer customized quotes based on the data fields and volume of records needed, with delivery available within 24 hours. Subscription options for ongoing data access can also be arranged.
Included Data Fields: - Job Posting Date - Job Title - Company Name - Job Location - Job Description - Application Deadline - Job Type (Full-time, Part-time, Contract) - Salary Range - Required Qualifications - Contact Information
Techsalerator’s dataset is an essential resource for anyone tracking job openings and employment trends in Canada, offering critical data to help businesses, job seekers, and analysts make informed decisions.
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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
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TwitterThis statistic shows the projected number of workers in Canada in 2028, by industry. In 2028 the health care industry is predicted to have the greatest number of workers in Canada at **** million people.
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TwitterWhile not being heterosexual tends to have a negative impact on the employment rate of Canadian men, the same does not apply to women. Over the 2015-2018 period, the proportion of men aged 25-64 who were employed was lower among gay or bisexual men than among heterosexual men, while the employment rate for lesbians was nearly ten points higher than that of heterosexual women of the same age. In addition, heterosexual and bisexual women were less likely to be employed than lesbian women, heterosexual men, and gay men.
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TwitterNumber of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.
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Unemployment Rate in Canada decreased to 6.90 percent in October from 7.10 percent in September of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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Labour Force Survey 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. Objective 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. Collection 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).