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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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TwitterNumber of employees by North American Industry Classification System (NAICS) and data type (seasonally adjusted, trend-cycle and unadjusted), last 5 months. 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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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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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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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TwitterNumber of persons in the labour force (employment and unemployment), unemployment rate, participation rate and employment rate by data type (seasonally adjusted and trend-cycle), gender and age group. 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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TwitterOpen Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
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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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TwitterApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
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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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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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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The 3-year Employment Outlooks consist of a rating (very good, good, moderate, limited or very limited) of the employment prospects as well as a narrative text that provides an assessment of the main forecast indicators, recent statistics, and value-added regional observations. Employment Outlooks are developed for each detailed occupation in all provinces, territories and economic regions of Canada, where data permits. They are updated annually. The Employment Outlooks developed until the 2015-2017 period were assessed on the basis of the National Occupational Classification (NOC) 2006, and include up to 520 occupations. Beginning with the 2016-2018 Outlooks, the NOC 2011 is used for the analysis and the Outlooks include up to 500 occupations. Outlooks and trend descriptions for the latest year (currently disseminated on Job Bank) are subject to change as new information becomes available. Every effort will be made to keep the records on the Open Data Portal as up to date as possible, though delays may occur. If you have comments or questions regarding the 3-year Employment Outlooks, please contact the Labour Market Information division at: NC-LMI-IMT-GD@hrsdc-rhdcc.gc.ca
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Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
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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Twitterhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/TWUKGPhttps://borealisdata.ca/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.5683/SP3/TWUKGP
The Labour Force Survey (LFS) is a monthly survey of Canadian households carried out by Statistics Canada. It was developed after the Second World War to satisfy a need for reliable and timely data on the labour market due to the massive labour market changes involved in the transition from a war to peace-time economy. The objectives of the LFS have been to divide the working-age population into three mutually exclusive labour force status categories (employed, unemployed, and not in the labour force) and to provide descriptive and explanatory data on each of these groups. 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 LFS is the source of Canada's official unemployment rates, including the rates used by Employment and Social Development Canada in the calculation of Employment Insurance (EI) eligibility and benefit criteria. Data from the survey also provide information on major labour market trends, such as shifts in employment across industrial sectors, hours worked and labour force participation. 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, data on wage rates, union status, job permanency and establishment size are also produced.
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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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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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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TwitterThis statistic shows the annual growth in employment in Canada throughout 2022 to 2031, by industry. Throughout 2022 to 2031, employment in the healthcare industry is forecast to grow at an annual rate of *** percent on average.
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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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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Employment and Social Development Canada (ESDC) uses the models of the Canadian Occupational Projection System (COPS) and the National Occupational Classification (NOC, 2021 version) to develop projections of future trends in the numbers of job openings and job seekers by occupation at the national level. The projections allow for identifying those occupations that may face labour shortage or labour surplus conditions over the medium term. The latest projections cover the 2024 to 2033 period. For more information, explore: Canadian Occupational Projections System – ESDC
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TwitterThe Labour Force Survey (LFS) is a household survey carried out monthly by Statistics Canada. Since its inception in 1945, the objectives of the LFS have been 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 categories. Data from the survey provide information on major labour market trends such as shifts in employment across industrial sectors, hours worked, labour force participation and unemployment rates, employment including the self-employed, full and part-time employment, and unemployment. It publishes monthly standard labour market indicators such as the unemployment rate, the employment rate and the participation rate. The LFS is a major source of information on the personal characteristics of the working-age population, including age, sex, marital status, educational attainment, and family characteristics. Employment estimates include detailed breakdowns by demographic characteristics, industry and occupation, job tenure, and usual and actual hours worked. This dataset is designed to provide the user with historical information from the Labour Force Survey. The tables included are monthly and annual, with some dating back to 1976. Most tables are available by province as well as nationally. Demographic, industry, occupation and other indicators are presented in tables derived from the LFS data. The information generated by the survey has expanded considerably over the years with a major redesign of the survey content in 1976 and again in 1997, and provides a rich and detailed picture of the Canadian labour market. Some changes to the Labour Force Survey (LFS) were introduced which affect data back to 1987. There are three reasons for this revision: The revision enables the use of improved population benchmarks in the LFS estimation process. These improved benchmarks provide better information on the number of non-permanent residents. There are changes to the data for the public and private sectors from 1987 to 1999. In the past, the data on the public and private sectors for this period were based on an old definition of the public sector. The revised data better reflects the current public sector definition, and therefore result in a longer time series for analysis. The geographic coding of several small Census Agglomerations (CA) has been updated historically from 1996 urban centre boundaries to 2001 CA boundaries. This affects data from January 1987 to December 2004. It is important to note that the changes to almost all estimates are very minor, with the exception of the public sector series and some associated industries from 1987 to 1999. Rates of unemployment, employment and participation are essentially unchanged, as are all key labour market trends. The article titled Improvements in 2006 to the LFS (also under the LFS Documentation button) provides an overview of the effect of these changes on the estimates. The seasonally-adjusted tables have been revised back three years (beginning with January 2004) based on the latest seasonal output.
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Twitterhttps://www.ycharts.com/termshttps://www.ycharts.com/terms
View quarterly updates and historical trends for Canada Total Number of Jobs. Source: Statistics Canada. Track economic data with YCharts analytics.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The Employment Sector, a sector attached to the Ministry of Employment and Social Solidarity (MESS), makes forecasts of the labour market every year in the medium (five years) and in the long term (ten years). These forecasts cover employment by industry and occupation, as well as labour market participation and unemployment. They are based on medium and long-term economic forecasts from the Conference Board of Canada (cBDC), including those for household consumption, government spending, private and public investments, exports and imports, and exports, and imports, and exchange rate trends. If the economic growth observed during the forecast period is different from that expected by the cBDC, the evolution of employment could thus differ from what the Employment Sector foresees in its forecasts.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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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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/